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Middle East and Africa Agritech Market Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2033

Agriculture And Animal Feed | Published Report | Mar 2026 | MEA | 350 Pages | No of Tables: 278 | No of Figures: 33
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Middle East And Africa Agritech Market

Market Size in USD Billion

CAGR :  %

USD 2.34 Billion USD 6.04 Billion 2025 2033
Forecast Period
2026 –2033
Market Size(Base Year)
USD 2.34 Billion
Market Size (Forecast Year)
USD 6.04 Billion
CAGR
%
Major Markets Players
  • Bayer AG (Germany)
  • CNH Industrial N.V. (U.K.)
  • AGCO Corporation (U.S.)
  • Deere & Company (U.S.)
  • Syngenta (Switzerland)

Middle East and Africa Agritech Market Segmentation, By Product Type (Precision Farming Equipment, Farm Management Software, Smart Irrigation Systems, Agricultural Drones and Others), Plant Science (Genetic Engineering, Molecular Breeding, Genomic Selection And Marker-Assisted Breeding, Gene-Editing Technologies and Others), Technology (Internet Of Things (Iot), Artificial Intelligence (AI), Big Data & Analytics, Remote Sensing, Blockchain and Others.), Application (Crop Monitoring, Irrigation Management, Field Mapping, Soil Management, Weather Prediction, Livestock Monitoring, Supply Chain Management and Others),  Farm Size (Large Farms, Medium Farms and Small Farms), End User (Individual Farmers, Corporate Agribusinesses, Agricultural Cooperatives, Government & NGO Initiatives, Research Organizations and Others), Distribution Channel (Direct and Indirect)-Industry Trends and Forecast to 2033

Middle East and Africa Agritech Market Size

  • The Middle East and Africa Agritech market was valued at USD 2.34 billion in 2025 and is expected to reach USD 6.04 billion by 2033 at a CAGR of 12.7% during the forecasted period.
  • Driven by increasing demand for cost-effective, technology-enabled, and sustainable agricultural solutions. Key adoption areas include precision farming, smart irrigation, farm automation, digital farm management platforms, and data-driven crop monitoring across both large commercial farms and mid-scale agricultural operations.
  • Sustained market growth is supported by continuous innovations in agri-IoT, AI-based analytics, robotics, drones, and advanced sensing technologies, along with the expanding availability of cloud-based platforms and integrated hardware–software solutions. Favorable government initiatives promoting sustainable agriculture, rising investments in climate-resilient farming practices, and increasing focus on resource efficiency, yield optimization, and emission reduction are strengthening the overall market outlook in Middle East and Africa.

Middle East and Africa Agritech Market Analysis

  • The Middle East and Africa agritech market is witnessing steady advancement as solution providers increasingly focus on technological innovation, farm-level efficiency, and application-specific optimization to address evolving agricultural productivity and sustainability needs. Agritech developers are leveraging precision agriculture tools, AI-driven analytics, IoT-enabled sensors, drones, and automation systems to enhance crop monitoring, yield prediction, soil health management, and input optimization across large commercial farms, mid-sized operations, and controlled-environment agriculture. Integration of digital dashboards, real-time data connectivity, and cloud-based farm management platforms is further shaping product development strategies across the region.
  • These advancements are strengthening the regional agritech value chain by improving operational efficiency, scalability, and decision accuracy, while reducing resource wastage, labor dependency, and overall production costs. Expanding direct-to-farm sales models, dealer networks, agri-input partnerships, and collaborations with agribusinesses and cooperatives are enabling faster market penetration and improved farmer access. Rising adoption of agritech solutions across row crops, horticulture, livestock management, and greenhouse farming, supported by government sustainability programs, smart farming incentives, and climate-resilient agriculture initiatives, is further enhancing market accessibility.
  • South Africa is  dominating the Middle East and Africa Agritech Market with the largest revenue share of 19.20% in 2025, supported by large-scale commercial farming operations, high technology adoption rates, strong agri-tech startup activity, and sustained investments in digital agriculture, automation, and data-driven farming solutions.
  • Saudi Arabia is projected to be the fastest-growing market, registering a CAGR of 13.3%, driven by increasing adoption of precision farming technologies, smart irrigation systems, and climate-adaptive agricultural practices, along with supportive government policies and growing awareness of sustainable food production.
  • In 2025, the precision farming equipment segment is dominating the Middle East and Africa Agritech market with a 25.35% share, reflecting strong demand for GPS-guided machinery, variable rate technology, field sensors, and automated equipment. Widespread use across crop production, farm monitoring, and resource management applications, combined with continuous technological innovation and digital integration, continues to reinforce the segment’s leadership within the Middle East and Africa Agritech market.

Report Scope and Middle East and Africa Agritech Market Segmentation         

Attributes

Middle East and Africa Agritech Key Market Insights

Segments Covered

  • By Product Type: Precision Farming Equipment, Farm Management Software, Smart Irrigation Systems, Agricultural Drones and Others
  • By Plant Science: Genetic Engineering, Molecular Breeding, Genomic Selection and Marker-Assisted Breeding, Gene-Editing Technologies and Others
  • By Technology: Internet Of Things (Iot), Artificial Intelligence (AI), Big Data & Analytics, Remote Sensing, Blockchain and Others.
  • By Application: Crop Monitoring, Irrigation Management, Field Mapping, Soil Management, Weather Prediction, Livestock Monitoring, Supply Chain Management and Others
  • By Farm Size: Large Farms, Medium Farms and Small Farms
  • By End User: Individual Farmers, Corporate Agribusinesses, Agricultural Cooperatives, Government & NGO Initiatives, Research Organizations and Others
  • By Distribution Channel: Direct and Indirect

Country Covered

Middle East and Africa

  • South Africa
  • Egypt
  • Saudi Arabia
  • United Arab Emirates
  • Israel
  • Bahrain
  • Kuwait
  • Oman
  • Qatar
  • Rest of Middle East & Africa

Key Market Players

  • Bayer AG (Germany)
  • CNH Industrial N.V. (U.K.)
  • AGCO Corporation (U.S.)
  • Deere & Company (U.S.)
  • Syngenta (Switzerland)
  • Yara (Norway)
  • CropX Inc. (U.S.)
  • Ag Leader Technology (U.S.)
  • Corteva (U.S.)
  • FARMERS EDGE (Corvian) (Canada)
  • The Weather Company LLC (U.S.)
  • TOPCON AGRICULTURE (U.S.)
  • Cropin Technology Solutions Private Limited (India)
  • XAG Co., Ltd. (China)
  • DJI (China)
  • Taranis (U.S.)
  • JIYI ROBOTICS (China)

Market Opportunities

  • Expansion of Agritech Solutions in Emerging Agricultural Economies
  • Growing Integration of Artificial Intelligence and Analytics in Agriculture
  • Increasing Demand for Climate-Resilient Farming Technologies

Value Added Data Infosets

In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, pipeline analysis, pricing analysis, and regulatory framework.

Middle East and Africa Agritech Market Trends

“Growing Integration of Artificial Intelligence and Analytics in Agriculture”

  • The growing integration of artificial intelligence (AI) and advanced analytics in agriculture is reshaping modern farming by enabling highly data-driven, precise, and efficient operations. AI technologies—including machine learning, deep learning, computer vision, and predictive modeling—are increasingly being applied to analyze vast amounts of data generated from IoT-enabled sensors, drones, satellite imagery, and automated machinery. This allows farmers to monitor soil health, weather patterns, crop growth, irrigation levels, and pest or disease outbreaks in real time, enabling timely interventions and optimized use of water, fertilizers, and other inputs.
  • Advanced analytics platforms are also empowering farmers with actionable insights on yield forecasting, market demand prediction, and supply chain optimization. By combining historical and real-time data, these tools help reduce operational risks, minimize crop losses, and improve farm profitability. For example, predictive algorithms can alert farmers to potential pest infestations or nutrient deficiencies before they significantly impact crop health, while AI-driven analytics can recommend optimal planting and harvesting schedules based on weather and soil conditions.
  • The integration of AI and analytics is further enhancing sustainability in agriculture by reducing overuse of inputs, lowering greenhouse gas emissions, and supporting precision resource management. As farms become increasingly connected and digitized, AI and analytics are emerging as foundational technologies that not only increase productivity and efficiency but also facilitate smarter, more resilient, and environmentally responsible farming systems. This trend represents a critical opportunity for agritech providers to deliver innovative solutions that drive both economic and ecological benefits across the Middle East and Africa agricultural landscape.
  • In January 2026, Ceres AI announced an upgraded integration with the John Deere Operations Center, enabling growers to access Ceres’s AI‑powered imagery and analytics directly within the platform, which enhances real‑time field monitoring, crop health analysis, and decision‑making for improved productivity and sustainability.
  • As highlighted in November 2025 by Land O’Lakes in partnership with Microsoft, the AI-based assistant “Oz” was introduced to provide field-specific recommendations derived from advanced analytics, helping farmers optimize fertilizer use, irrigation, and pest management across their operations.
  • In conclusion, the growing integration of artificial intelligence and analytics is revolutionizing modern agriculture by enabling data-driven decision-making, precision resource management, and predictive insights for crop health, irrigation, and pest control. By leveraging AI-powered tools and advanced analytics, farmers can optimize yields, reduce input waste, and enhance operational efficiency, while improving sustainability and profitability. This trend represents a significant growth driver for the agritech market, positioning AI and analytics as essential technologies for smarter, more resilient, and future-ready agricultural systems

Middle East and Africa Agritech Market Dynamics

Driver

“Rising Adoption of Precision Farming Technologies

  • The rising adoption of precision farming technologies is being shaped by the increasing need to make agricultural production more efficient, predictable, and economically viable. As farming operations face mounting pressure from fluctuating input costs, labor constraints, and yield uncertainty, technology-enabled approaches are being embraced to gain better control over field-level variability. Tools such as GPS-guided tractors, soil and crop sensors, satellite and drone-based imaging, and automated machinery are being deployed to monitor farm conditions with greater accuracy. Through these systems, real-time data is being captured across multiple stages of the crop cycle, allowing farming decisions to be guided by measurable field insights rather than traditional trial-and-error methods.
  • At the operational level, precision farming technologies are enabling targeted application of critical inputs, including seeds, fertilizers, irrigation, and crop protection chemicals. Instead of uniform input distribution, variable rate technologies are being used to match application levels with specific soil conditions, crop health, and yield potential. This approach is resulting in improved input-use efficiency, reduced wastage, and lower environmental impact, while also supporting consistent yield outcomes. By minimizing overuse of resources and addressing underperforming areas within fields, farms are being managed more systematically, leading to better cost control and improved return on investment over time.
  • Beyond productivity gains, precision farming is also contributing to a broader transformation in how farms are planned, monitored, and optimized. Data generated from connected equipment and digital platforms is being analyzed to support yield forecasting, risk assessment, and long-term farm planning. As climate variability and weather unpredictability increase, these technologies are being relied upon to anticipate stress factors and enable timely interventions. Collectively, the adoption of precision farming technologies is positioning agriculture as a more data-driven and resilient sector, where informed decision-making is becoming central to sustainable farm growth and long-term food security.
  • As reported by John Deere on its official press platform in March 2025, the company highlighted precision upgrades that enable farmers to integrate advanced satellite-connected guidance, precision ag sustainability tools, and automated equipment features into existing machinery fleets, helping improve field efficiency and resource utilization across diverse crop operations.
  • As reported by John Deere Australia & New Zealand on its official news site in May 2025, the company emphasized the importance of driving greater utilization of precision farming technologies across farm operations to help users extract higher efficiency and productivity from their equipment, especially through connected precision features and guidance tools.
  • In conclusion, the rising adoption of precision farming technologies across Middle East and Africa agriculture supported by increasing use of connected equipment, sensors, and data-driven farm management tools is a structural and long-term driver of the agritech market. As agricultural operations become more technology-enabled, precision-oriented, and resource-efficient, precision farming solutions will remain critical to improving productivity, reducing input inefficiencies, and enabling scalable, sustainable agricultural development across regions

Restraints/Challenges

“High Initial Investment and Technology Adoption Costs”

  • High initial investment and technology adoption costs are significant barriers to the widespread adoption of advanced agritech solutions, particularly among small and marginal farmers. Cutting-edge farming technologies including precision machinery, sensors, drones, automated irrigation systems, and digital farm management platforms often require substantial upfront capital for purchase, installation, and training. For many farmers, especially in emerging economies, these costs can exceed available financial resources, making it difficult to justify the short-term investment despite the potential long-term productivity gains.
  • Moreover, ongoing expenses related to system maintenance, software subscriptions, and technical support further increase the total cost of ownership, creating additional hesitation in adopting new technologies. This financial barrier is compounded by limited access to affordable credit and financing options for technology-driven farm operations, slowing the pace of digital and mechanized farming transformation.
  • As a result, high initial investment and technology adoption costs remain a key restraint in the agritech market, influencing adoption rates, limiting scalability, and creating disparities in access to productivity-enhancing innovations between large commercial farms and smaller, resource-constrained farming communities.
  • In March 2025, Deere & Company emphasized in an official press release that although automated steering systems, advanced sensors, and connected farm equipment significantly improve efficiency, the high upfront investment required for these technologies continues to restrict adoption among smaller far.
  • As highlighted by CNH Industrial in October 2024, their advanced telematics and precision agriculture solutions demand considerable initial capital, which many operators find challenging to justify despite the promise of long-term yield and operational benefits.
  • In August 2024, Mahindra & Mahindra announced via official media channels that financing schemes are being introduced alongside smart tractor and digital farming solutions to overcome customer concerns regarding the high acquisition costs of technology-enabled machinery.
  • In conclusion, high upfront costs and technology adoption expenses continue to restrain the agritech market, limiting access for smaller farmers. Subsidies, financing options, and cost-effective solutions will be key to enabling broader adoption and realizing the benefits of modern agricultural technologies

Middle East and Africa Agritech Market Scope

Middle East and Africa agritech market is categorized into seven notable segments which are based on product type, plant science, technology, application, farm size end users, and distribution channel.

  • By Product Type

On the basis of product type, the Middle East and Africa agritech market is segmented into precision farming equipment, farm management software, smart irrigation systems, agricultural drones, and others. In 2026, the precision farming equipment segment is expected to dominate the market with a 25.32% share, driven by widespread adoption across large and medium-sized farms for GPS-guided machinery, variable-rate application, automated harvesting, and real-time field monitoring. Strong replacement demand for modernized equipment, expansion of use cases beyond traditional mechanization, and growing adoption of connected, easy-to-operate, and productivity-enhancing technologies continue to reinforce the segment’s leadership in the region.

The farm management software segment is expected to be the fastest-growing, registering a CAGR of 13.4% in the Middle East and Africa agritech market. Growth is driven by rising demand for integrated, user-friendly, and scalable digital platforms that enable data-driven decision-making, resource planning, compliance tracking, and yield optimization. Increasing adoption across commercial farms, cooperatives, and agribusinesses, along with expansion of subscription-based models, cloud deployment, and mobile access, is expected to further accelerate market penetration across Middle East and Africa.

  • By Plant Science

On the basis of plant science, the Middle East and Africa agritech market is segmented into genetic engineering, molecular breeding, genomic selection and marker-assisted breeding, gene-editing technologies, and others. In 2026, the genetic engineering segment is expected to dominate the market with a 25.50% share, driven by its widespread application in crop trait enhancement, pest and disease resistance, herbicide tolerance, and yield improvement. Strong adoption across commercial seed producers, large agribusinesses, and research institutions, supported by proven efficacy, scalability for large-scale cultivation, and relatively predictable development pathways, continues to reinforce the segment’s leadership in Middle East and Africa.

The gene-editing technologies segment is expected to be the fastest-growing, registering a CAGR of 13.2% in the Middle East and Africa agritech market. Growth is driven by increasing demand for precision breeding, faster trait development cycles, and targeted genetic improvements that address climate resilience, nutrient efficiency, and crop quality. Rising adoption of CRISPR and next-generation editing platforms, combined with supportive research funding, advancing regulatory clarity, and integration with genomic data and AI-driven breeding tools, is expected to further accelerate market expansion across key agricultural regions in Middle East and Africa.

  • By Technology

On the basis of technology, the Middle East and Africa agritech market is segmented into Internet of Things (IoT), Artificial Intelligence (AI), Big Data & Analytics, Remote Sensing, Blockchain, and others. In 2026, the IoT segment is expected to dominate the market with a 29.44% share, driven by its broad applicability across farm monitoring, irrigation control, soil sensing, equipment tracking, and livestock management. Ease of deployment, scalability, real-time data collection, and relatively low operating and maintenance costs, combined with widespread integration across large, medium, and small farms, contribute to IoT’s leading position in the regional agritech landscape.

The Artificial Intelligence (AI) segment is expected to be the fastest-growing, registering a CAGR of 13.1% in the Middle East and Africa agritech market. Growth is driven by rising demand for advanced decision-support systems, predictive analytics, and automated insights that enable yield forecasting, pest and disease prediction, input optimization, and precision resource allocation. Increasing adoption of machine learning models, computer vision, and AI-powered robotics, along with integration into existing IoT and remote sensing platforms, is further accelerating AI adoption across Middle East and African agricultural operations.

  • By Application

On the basis of application, the Middle East and Africa agritech market is segmented into crop monitoring, irrigation management, field mapping, soil management, weather prediction, livestock monitoring, supply chain management, and others. In 2026, the field mapping segment is expected to dominate the market with a 26.08% share, driven by its ease of deployment, real-time insights, and high impact on yield optimization and risk mitigation. Widespread adoption of remote sensing, drones, satellite imagery, and AI-based analytics across large and mid-sized farms enables early detection of crop stress, pest infestations, nutrient deficiencies, and disease outbreaks, reinforcing the segment’s leadership across Middle East and Africa.

The crop monitoring segment is expected to be the fastest-growing, registering a CAGR of 13.7% in the Middle East and Africa agritech market. Growth is driven by increasing demand for real-time animal health tracking, productivity monitoring, and welfare management across dairy, poultry, and livestock operations. Expanding adoption of wearable sensors, RFID tags, automated feeding systems, and data-driven herd management platforms, combined with continuous advancements in sensor accuracy, connectivity, and automation, is accelerating market penetration across key agricultural regions in Middle East and Africa.

  • By Farm Size

On the basis of farm size, the Middle East and Africa agritech market is segmented into large farms, medium farms, and small farms. In 2026, the large farms segment is expected to dominate the market with a 40.33% share, driven by high demand for advanced, data-intensive, and cost-efficient agritech solutions that support precision farming, large-scale crop monitoring, automated machinery, and resource optimization. Widespread adoption of GPS-guided equipment, AI-enabled analytics, smart irrigation systems, and integrated farm management platforms, coupled with continuous advancements in automation, connectivity, and real-time decision support, reinforces the segment’s leadership across Middle East and Africa.

The small farms segment is expected to be the fastest-growing, registering a CAGR of 13.0% in the Middle East and Africa agritech market. Growth is driven by increasing demand for affordable, scalable, and easy-to-use agritech solutions that improve productivity, crop health monitoring, and input efficiency. Expanding access to mobile-based advisory platforms, low-cost sensors, digital marketplaces, and government-supported adoption programs, along with simplified deployment and minimal maintenance requirements, is accelerating adoption across small and mid-scale farming communities throughout the region.

  • By End User

On the basis of end user, the Middle East and Africa agritech market is segmented into individual farmers, corporate agribusinesses, agricultural cooperatives, government & NGO initiatives, research organizations, and others. In 2026, the individual farmers segment is expected to dominate the market with an 30.54% share, driven by increasing adoption of agritech solutions for day-to-day farm operations, crop monitoring, soil analysis, irrigation management, and yield optimization. Ease of use, reliable performance, affordability, and low maintenance requirements, combined with growing demand for compact, mobile, and user-friendly digital farming tools, support the segment’s leadership across both rural and semi-urban farming regions.

The government & NGO initiatives segment is expected to be the fastest-growing, registering a CAGR of 13.2% in the Middle East and Africa agritech market. Growth is driven by expanding deployment of agritech solutions through smart agriculture programs, sustainability initiatives, climate-resilient farming projects, and farmer outreach schemes. Increasing focus on resource efficiency, early risk detection (climate, pests, and soil degradation), and data-driven decision-making, along with the adoption of scalable, easy-to-deploy, and low-maintenance technologies, is accelerating market penetration across key agricultural regions in Middle East and Africa.

  • By Distribution Channel

On the basis of distribution channel, the Middle East and Africa agritech market is segmented into direct and indirect channels. In 2026, the indirect segment is expected to dominate the market with a 50.80% share, driven by widespread adoption of agritech solutions through dealers, distributors, agricultural cooperatives, equipment retailers, and agribusiness partners. Key factors such as ease of deployment, technical support availability, after-sales services, financing options, and cost efficiency, combined with strong dealer networks and government-supported agricultural programs, support the segment’s leadership across the region.

The indirect channel is also expected to be the fastest-growing segment, registering a CAGR of 13.0% in the Middle East and Africa agritech market. Growth is driven by increasing penetration of agritech solutions across commercial farms, mid-sized operations, and smallholder farms, supported by expanding private agri-distributor networks, digital marketplaces, and public–private partnerships. Rising emphasis on operational efficiency, scalable farm technologies, and user-friendly solutions, along with improved access to training and financing, continues to accelerate adoption across key agricultural regions in Middle East and Africa.

Middle East and Africa Agritech Market Regional Analysis

  • The South Africa is dominating the Middle East and Africa agritech market, accounting for the largest revenue share of 19.20% in 2025, supported by significant investments in digital agriculture, precision farming infrastructure, and agri-tech innovation ecosystems. High adoption of AI-driven farm management platforms, GPS-enabled machinery, smart irrigation systems, and automation technologies, along with strong participation from agribusinesses and agri-tech startups, continues to strengthen the U.S. market position across large-scale and commercial farming operations.
  • Saudi Arabia is expected to be the fastest-growing market in the Middle East and Africa agritech sector, registering a CAGR of 13.3% during the forecast period. Growth is driven by increasing adoption of precision agriculture tools, climate-resilient farming practices, smart greenhouses, and data-driven crop management solutions, supported by favorable government policies, sustainability initiatives, and rising awareness of resource-efficient farming.
  • Additionally, sustained focus on cost-effective, scalable, and easy-to-deploy agritech solutions, combined with investments in digital farm platforms, real-time data integration, automation, and sustainable agricultural technologies, is expected to support long-term market expansion across both commercial and mid-scale farms throughout Middle East and Africa

Egypt Agritech Market Insight

The Egypt agritech market is experiencing steady growth, driven by increasing adoption of precision agriculture, smart irrigation systems, digital farm management platforms, and climate-resilient farming technologies. Strong government support for sustainable agriculture, rising awareness of resource efficiency, and the modernization of farming practices across crop production, horticulture, and greenhouse farming are improving adoption rates. Additionally, growing use of data analytics, IoT-enabled sensors, automation, and connectivity-driven farm solutions continues to strengthen Egypt’s position within the Middle East and Africa Agritech market, particularly in addressing labor shortages, yield optimization, and environmental sustainability.

Saudi Arabia Agritech Market Insight

The Saudi Arabia agritech market is expected to expand steadily, supported by increasing focus on agricultural productivity, food security, and modernization of farming operations. Rising adoption of precision farming tools, smart irrigation technologies, and digital advisory platforms, along with expanding access to agritech solutions through cooperatives, agribusiness partnerships, and direct-to-farm distribution models, is supporting market development. Furthermore, growing emphasis on cost-effective, scalable, and easy-to-deploy agritech solutions is driving sustained adoption across both commercial farms and small-to-mid-sized agricultural operations, particularly in water-stressed and high-value crop regions.

The Major Market Leaders Operating in the Market Are:

  • Bayer AG (Germany)
  • CNH Industrial N.V. (U.K.)
  • AGCO Corporation (U.S.)
  • Deere & Company (U.S.)
  • Syngenta (Switzerland)
  • Yara (Norway)
  • CropX Inc. (U.S.)
  • Ag Leader Technology (U.S.)
  • Corteva (U.S.)
  • FARMERS EDGE (Corvian) (Canada)
  • The Weather Company LLC (U.S.)
  • TOPCON AGRICULTURE (U.S.)
  • Cropin Technology Solutions Private Limited (India)
  • XAG Co., Ltd. (China)
  • DJI (China)
  • Taranis (U.S.)
  • JIYI ROBOTICS (China)

Latest Developments in Middle East and Africa Agritech

  • In February 2024, CNH Industrial has taken a minority stake in Bem Agro, a startup using AI and drone imaging to generate detailed agronomic maps that help farmers optimize operations, reduce costs, and improve yields. This investment strengthens CNH’s precision agriculture solutions, enhances the Case IH and New Holland digital platforms, and expands the company’s presence in AgTech innovation across Latin America and the Asia Pacific region
  • In August 2025 – Cropin secured a €700,000 AI deal under the EIT Food Impact Funding Framework to scale regenerative potato farming practices across Europe. The initiative, called FIRST Potato, will deploy Cropin’s AI decision-support tools to pilot regenerative farming methods on farms in Denmark, Germany, and the UK. The project combines satellite data, IoT, weather feeds, and predictive analytics to help farmers adopt climate-smart practices that improve soil health and yields while supporting corporate sustainability goals.
  • In March 2025, DJI Agriculture partnered with Siam Kubota Corporation to launch the Thailand Agricultural Drone Pilot Competition in the Northeast region, where the new innovative method of farming is growing. DJI aimed at accelerating the adoption of precision farming equipment and elevating operators’ technical expertise.
  • In October 2025, Syngenta Crop Protection and Taranis announced they are formalizing their successful collaboration into a strategic partnership across the Midwest. The partnership will equip agricultural retailers with AI-powered crop management solutions, delivering innovative digital technologies that create significant value for both retailers and their grower customers.
  • In November 2025 – Topcon Agriculture named Precision Ag Solved (PAS) as a new master dealer to expand its agricultural product territory in the western United States. PAS will provide sales, support, inventory, and training for Topcon’s precision agriculture solutions across the region. This strengthens local service capability and improves customer access to precision farming tools


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Table of Content

1 INTRODUCTION

1.1 OBJECTIVES OF THE STUDY

1.2 MARKET DEFINITION

1.3 OVERVIEW OF MIDDLE EAST AND AFRICA AGRITECH MARKET

1.4 LIMITATIONS

1.5 MARKETS COVERED

2 MARKET SEGMENTATION

2.1 MARKETS COVERED

2.2 GEOGRAPHICAL SCOPE

2.3 YEARS CONSIDERED FOR THE STUDY

2.4 CURRENCY AND PRICING

2.5 DBMR TRIPOD DATA VALIDATION MODEL

2.6 MULTIVARIATE MODELLING

2.7 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS

2.8 DBMR MARKET POSITION GRID

2.9 MARKET END USER COVERAGE GRID

2.1 VENDOR SHARE ANALYSIS

2.11 SECONDARY SOURCES

2.12 ASSUMPTIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

4.1 ROLE OF CORPORATIONS, INVESTORS, AND STARTUPS

4.1.1 HOW MIDDLE EAST AND AFRICA CORPORATIONS (DEERE & CO., CNH INDUSTRIAL, CORTEVA, BAYER) ARE DRIVING DIGITAL TRANSFORMATION

4.1.2 ROLE OF STRATEGIC INVESTORS AND VENTURE CAPITAL IN FUNDING INNOVATION

4.1.3 KEY M&A AND FUNDING TRENDS IN AGRITECH

4.2 BARRIERS TO ENTRY

4.2.1 TECHNOLOGICAL COMPLEXITY

4.2.2 CAPITAL REQUIREMENTS AND ROI CHALLENGES

4.2.3 POLICY AND REGULATORY BARRIERS (DATA USAGE, BIOTECH APPROVAL, DRONE REGULATIONS)

4.2.4 MARKET ADOPTION BARRIERS (FARMER AWARENESS, RURAL INFRASTRUCTURE)

4.3 RAW MATERIAL COVERAGE — MIDDLE EAST AND AFRICA AGRITECH MARKET

4.3.1 ELECTRONIC COMPONENTS AND SEMICONDUCTORS

4.3.2 PRECISION SENSOR MATERIALS

4.3.3 STRUCTURAL ALLOYS AND COMPOSITES

4.3.4 ENERGY STORAGE AND POWER MATERIALS

4.3.5 BIOLOGICAL INPUTS AND AGROCHEMICAL RAWS

4.3.6 NETWORKING, COMMUNICATION AND CONNECTIVITY MATERIALS

4.3.7 SOFTWARE PLATFORM INFRASTRUCTURE MATERIALS

4.3.8 QUALITY, COMPLIANCE AND TRACEABILITY

4.4 BRAND OUTLOOK — MIDDLE EAST AND AFRICA AGRITECH MARKET

4.4.1 BRAND COMPARATIVE ANALYSIS OF KEY MIDDLE EAST AND AFRICA AGRITECH PLAYERS

4.4.2 PRODUCT VS BRAND OVERVIEW

4.4.3 PRODUCT OVERVIEW

4.4.4 BRAND OVERVIEW

4.5 CONSUMER BUYING BEHAVIOUR

4.5.1 PRODUCT EFFECTIVENESS & YIELD IMPROVEMENT

4.5.2 COST SENSITIVITY & RETURN ON INVESTMENT (ROI)

4.5.3 EASE OF USE & ADOPTION

4.5.4 TECHNOLOGY RELIABILITY & ACCURACY

4.5.5 ACCESS TO FINANCING & SUBSIDIES

4.5.6 AFTER-SALES SUPPORT & SERVICE

4.5.7 BRAND REPUTATION & TRUST

4.5.8 SUSTAINABILITY & ENVIRONMENTAL IMPACT

4.5.9 CUSTOMIZATION & SCALABILITY

4.5.10 DIGITAL CONNECTIVITY & DATA INSIGHTS

4.5.11 AVAILABILITY & DISTRIBUTION REACH

4.5.12 CONCLUSION

4.6 VENDOR SELECTION CRITERIA

4.6.1 QUALITY AND CERTIFICATION STANDARDS

4.6.2 TECHNICAL AND FUNCTIONAL COMPLIANCE

4.6.3 FINANCIAL AND OPERATIONAL STABILITY

4.6.4 SUSTAINABILITY AND RISK ASSESSMENT

4.7 TECHNOLOGY ADVANCEMENT, ADOPTION AND IMPLEMENTATION OUTLOOK

4.7.1 TECHNOLOGY ADVANCEMENT

4.7.2 TECHNOLOGY ADOPTION LANDSCAPE

4.7.2.1 OVERVIEW OF CURRENT ADOPTION RATES OF MAJOR AGRITECH SOLUTIONS

4.7.2.2 REGIONAL COMPARISON

4.7.2.3 ADOPTION TRENDS BY FARM TYPE AND SIZE

4.7.3 PRACTICAL STRATEGIES TO IMPROVE TECHNOLOGY UPTAKE

4.7.3.1 CAPACITY-BUILDING AND FARMER TRAINING PROGRAMS

4.7.3.2 PARTNERSHIPS BETWEEN TECHNOLOGY PROVIDERS AND AGRICULTURAL EXTENSION AGENCIES

4.7.3.3 PILOT PROJECTS SHOWCASING ROI AND EFFICIENCY GAINS

4.7.4 KEY BARRIERS TO ADOPTION

4.7.4.1 HIGH UPFRONT INVESTMENT COSTS AND LACK OF FINANCING

4.7.4.2 LIMITED TECHNICAL KNOWLEDGE AMONG FARMERS

4.7.4.3 POOR CONNECTIVITY/INFRASTRUCTURE IN RURAL AREAS

4.8 VALUE CHAIN ANALYSIS

4.8.1 RAW MATERIAL & FEEDSTOCK SUPPLY (5%–10%)

4.8.2 MANUFACTURING & PROCESSING (15%–25%)

4.8.3 DISTRIBUTION & LOGISTICS (30%–40%)

4.8.4 END-USE INDUSTRIES & SALES CHANNELS (10%–20%)

4.8.5 CONCLUSION

4.9 PORTER’S FIVE FORCES ANALYSIS – MIDDLE EAST AND AFRICA AGRITECH MARKET

4.9.1 BARGAINING POWER OF BUYERS (HIGH)

4.9.2 THREAT OF NEW ENTRANTS (LOW TO MODERATE)

4.9.3 THREAT OF SUBSTITUTE PRODUCTS (MODERATE TO HIGH)

4.9.4 BARGAINING POWER OF SUPPLIERS (MODERATE)

4.9.5 INTENSITY OF COMPETITIVE RIVALRY (HIGH)

4.9.6 CONCLUSION:-

4.1 INNOVATION TRACKER AND STRATEGIC ANALYSIS

4.10.1 MAJOR DEALS AND STRATEGIC ALLIANCES ANALYSIS

4.10.1.1 JOINT VENTURES

4.10.1.2 MERGERS AND ACQUISITIONS

4.10.1.3 LICENSING AND PARTNERSHIP

4.10.1.4 TECHNOLOGY COLLABORATIONS

4.10.1.5 STRATEGIC DIVESTMENTS.

4.10.2 NUMBER OF PRODUCTS IN DEVELOPMENT

4.10.3 STAGE OF DEVELOPMENT

4.10.4 TIMELINES AND MILESTONES

4.10.5 INNOVATION STRATEGIES AND METHODOLOGIES

4.10.6 FUTURE OUTLOOK

4.11 PRICING ANALYSIS

4.11.1 AGRICULTURAL DRONES

4.11.2 SOIL MONITORING DEVICES AND PH SENSORS

4.11.3 FARM MANAGEMENT SOFTWARE

4.12 IRRIGATION AND SMART WATER MANAGEMENT SYSTEMS

4.13 SUPPLY CHAIN ANALYSIS – MIDDLE EAST AND AFRICA AGRITECH MARKET

4.13.1 OVERVIEW OF AGRITECH AND SUPPLY CHAIN INTEGRATION

4.13.2 TECHNOLOGIES SUPPORTING SUPPLY CHAIN OPTIMIZATION

4.13.3 IMPORTANCE OF LOGISTIC SERVICE PROVIDERS

4.13.4 FOCUS ON RESILIENCE AND RISK MITIGATION

4.13.5 CHALLENGES AND FUTURE OPPORTUNITIES

4.13.6 CONCLUSION

4.14 BROADER INDUSTRY CHALLENGES

4.14.1 CLIMATE CHANGE SCENARIO

4.14.1.1 ENVIRONMENTAL CONCERNS

4.14.1.1.1 EFFECTS ON CROP YIELDS

4.14.1.1.2 SOIL HEALTH CONCERNS

4.14.1.1.3 WATER AVAILABILITY

4.14.1.2 ADAPTION STRATEGIES

4.14.1.2.1 PRECISION AGRICULTURE

4.14.1.2.2 DROUGHT-RESISTANT CROPS

4.14.1.2.3 CARBON FARMING

4.14.1.3 GOVERNMENT’S ROLE

4.14.1.3.1 POLICY DEVELOPMENT AND LEGISLATION

4.14.1.3.2 FUNDING AND RESEARCH INVESTMENT

4.14.1.3.3 REGULATION AND RISK MANAGEMENT

4.14.1.3.4 INTERNATIONAL COLLABORATION AND SUPPORT FOR DEVELOPING COUNTRIES

4.14.1.3.5 PROMOTING SUSTAINABLE PRACTICES THROUGH EDUCATION AND EXTENSION SERVICES

4.14.1.3.6 CARBON FARMING AND EMISSION REDUCTION POLICIES

4.14.2 RESOURCE SCARCITY

4.14.2.1 LAND DEGRADATION, WATER SCARCITY, AND FERTILIZER CONSTRAINTS

4.14.2.2 ROLE OF TECHNOLOGY IN OPTIMIZING INPUT USAGE

4.14.2.2.1 PRECISION AGRICULTURE

4.14.2.2.2 SMART IRRIGATION SYSTEMS

4.14.2.2.3 FERTILIZER MANAGEMENT TECHNOLOGY

4.14.2.2.4 BIOTECHNOLOGICAL ADVANCES IN CROP DEVELOPMENT

4.14.2.2.5 REGENERATIVE AGRICULTURE AND CARBON FARMING TECHNOLOGIES

4.14.3 GEOPOLITICAL DISRUPTIONS

4.14.3.1 IMPACTS OF TRADE RESTRICTIONS, WARS, AND SUPPLY CHAIN INSTABILITY

4.14.3.2 GROWING IMPORTANCE OF LOCAL PRODUCTION, FOOD SOVEREIGNTY, AND DIGITAL TRACEABILITY.

4.14.4 ECONOMIC VOLATILITY

4.14.4.1 FLUCTUATING COMMODITY PRICES AND INFLATIONARY PRESSURES

4.14.4.2 EVOLVING AGRICULTURAL SUBSIDIES AND GREEN FINANCING PROGRAMS

4.15 EMERGING OPPORTUNITIES

4.15.1 SUSTAINABILITY AND REGENERATIVE AGRICULTURE

4.15.1.1 INTEGRATION OF AGRITECH WITH CARBON FARMING, SOIL REGENERATION, AND BIODIVERSITY CONSERVATION

4.15.1.2 START-UPS AND INVESTORS FOCUSING ON SUSTAINABILITY-LINKED INNOVATION

4.15.2 DIGITALIZATION AND DATA-DRIVEN DECISIONS

4.15.2.1 GROWTH OF AI, MACHINE LEARNING, AND REMOTE SENSING IN FARMING OPERATIONS

4.15.2.2 CLOUD-BASED FARM MANAGEMENT PLATFORMS AND THEIR ROI

4.15.3 AGRI-FINTECH AND INCLUSIVE GROWTH

4.15.3.1 FINANCIAL INCLUSION THROUGH DIGITAL CREDIT, CROP INSURANCE, AND MOBILE PAYMENTS

4.15.3.2 EMPOWERMENT OF SMALLHOLDER FARMERS THROUGH PLATFORM-BASED AGRITECH ECOSYSTEMS

4.15.4 TECHNOLOGICAL ADVANCEMENTS

4.15.4.1 DIGITAL AGRICULTURE, AI-DRIVEN FARM ANALYTICS, IOT IN CROP MONITORING.

4.15.5 BIOTECHNOLOGY, GENE EDITING, AND ALTERNATIVE PROTEINS.

4.16 GO-TO-MARKET (GTM) STRATEGY IMPLICATIONS

4.16.1 COMMERCIALIZATION MODELS:

4.16.1.1 SEED LICENSING VS. IN-HOUSE SEED DEVELOPMENT.

4.16.1.2 PARTNERSHIPS WITH AGRIBUSINESS DISTRIBUTORS.

4.16.2 MARKET ENTRY STRATEGIES:

4.16.2.1 TARGETING EMERGING MARKETS WITH ADAPTABLE VARIETIES.

4.16.2.2 COLLABORATION WITH LOCAL R&D INSTITUTES.

4.16.3 VALUE CHAIN INTEGRATION—FROM RESEARCH TO FARMER ADOPTION

5 TARIFFS & IMPACT ON THE MARKET

5.1 CURRENT TARIFF RATE(S) IN TOP-5 COUNTRY MARKETS

5.2 OUTLOOK: LOCAL PRODUCTION VERSUS IMPORT RELIANCE

5.3 VENDOR SELECTION CRITERIA DYNAMICS

5.4 IMPACT ON SUPPLY CHAIN

5.4.1 RAW MATERIAL PROCUREMENT

5.4.2 MANUFACTURING AND PRODUCTION

5.4.3 LOGISTICS AND DISTRIBUTION

5.4.4 PRICE PITCHING AND MARKET POSITION

5.5 INDUSTRY PARTICIPANTS: PROACTIVE MOVES

5.5.1 SUPPLY CHAIN OPTIMIZATION

5.6 IMPACT ON PRICES

6 REGULATION COVERAGE

6.1 PRODUCT CODES

6.2 CERTIFIED STANDARDS

6.3 SAFETY STANDARDS

6.3.1 MATERIAL HANDLING & STORAGE

6.3.2 TRANSPORT & PRECAUTIONS

6.3.3 HAZARD IDENTIFICATION

7 MARKET OVERVIEW

7.1 DRIVERS

7.1.1 RISING ADOPTION OF PRECISION FARMING TECHNOLOGIES

7.1.2 GROWING PRESSURE TO IMPROVE AGRICULTURAL PRODUCTIVITY ON LIMITED ARABLE LAND

7.1.3 INCREASING DIGITALIZATION OF FARM OPERATIONS

7.1.4 RISING DEMAND FOR SUSTAINABLE AND RESOURCE-EFFICIENT FARMING PRACTICES

7.2 RESTRAINTS

7.2.1 HIGH INITIAL INVESTMENT AND TECHNOLOGY ADOPTION COSTS

7.2.2 LIMITED DIGITAL LITERACY IN RURAL FARMING COMMUNITIES

7.3 OPPORTUNITIES

7.3.1 EXPANSION OF AGRITECH SOLUTIONS IN EMERGING AGRICULTURAL ECONOMIES

7.3.2 GROWING INTEGRATION OF ARTIFICIAL INTELLIGENCE AND ANALYTICS IN AGRICULTURE

7.3.3 INCREASING DEMAND FOR CLIMATE-RESILIENT FARMING TECHNOLOGIES

7.4 CHALLENGES

7.4.1 FRAGMENTED FARM LANDHOLDINGS AND DIVERSE FARMING PRACTICES

7.4.2 DATA PRIVACY AND OWNERSHIP CONCERNS IN DIGITAL AGRICULTURE

8 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PRODUCT TYPE

8.1 OVERVIEW

8.2 PRECISION FARMING EQUIPMENT

8.2.1 PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.2.1.1 GPS/GNSS DEVICES

8.2.1.2 SENSORS

8.2.1.3 SOIL MONITORING DEVICES

8.2.1.3.1 SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.2.1.3.1.1 MOISTURE SENSORS

8.2.1.3.1.1.1 MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.2.1.3.1.1.1.1 CAPACITIVE

8.2.1.3.1.1.1.2 RESISTIVE

8.2.1.3.1.2 PH SENSORS

8.2.1.3.1.3 TEMPERATURE SENSORS

8.2.2 PRECISION FARMING EQUIPMENT IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

8.2.2.1 NORTH AMERICA

8.2.2.2 EUROPE

8.2.2.3 ASIA-PACIFIC

8.2.2.4 SOUTH AMERICA

8.2.2.5 MIDDLE EAST AND AFRICA

8.3 FARM MANAGEMENT SOFTWARE

8.3.1 FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.3.1.1 CLOUD-BASED FARM SOFTWARE

8.3.1.2 ENTERPRISE FARM SOFTWARE

8.3.1.3 ON-PREMISE SOFTWARE

8.3.2 FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

8.3.2.1 NORTH AMERICA

8.3.2.2 EUROPE

8.3.2.3 ASIA-PACIFIC

8.3.2.4 SOUTH AMERICA

8.3.2.5 MIDDLE EAST AND AFRICA

8.4 SMART IRRIGATION SYSTEMS

8.4.1 SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.4.1.1 SOIL MOISTURE SENSORS

8.4.1.2 DRIP IRRIGATION CONTROLLERS

8.4.1.2.1 DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.4.1.2.1.1 AUTOMATED DRIP SYSTEMS

8.4.1.2.1.1.1 AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.4.1.2.1.1.1.1 REMOTE-CONTROLLED

8.4.1.2.1.1.1.2 SENSOR-CONTROLLED

8.4.1.2.1.2 MANUAL DRIP SYSTEMS

8.4.1.3 SPRINKLER CONTROL SYSTEMS

8.4.2 SMART IRRIGATION SYSTEMS IN MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

8.4.2.1 NORTH AMERICA

8.4.2.2 EUROPE

8.4.2.3 ASIA-PACIFIC

8.4.2.4 SOUTH AMERICA

8.4.2.5 MIDDLE EAST AND AFRICA

8.5 AGRICULTURAL DRONES

8.5.1 AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.5.1.1 ROTARY WING DRONES

8.5.1.2 FIXED-WING DRONES

8.5.1.2.1 FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

8.5.1.2.1.1 MAPPING DRONES

8.5.1.2.1.2 SPRAYING DRONES

8.5.1.3 HYBRID DRONES (VTOL)

8.5.2 AGRICULTURAL DRONES IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

8.5.2.1 NORTH AMERICA

8.5.2.2 EUROPE

8.5.2.3 ASIA-PACIFIC

8.5.2.4 SOUTH AMERICA

8.5.2.5 MIDDLE EAST AND AFRICA

8.6 OTHERS

8.6.1 OTHERS IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

8.6.1.1 NORTH AMERICA

8.6.1.2 EUROPE

8.6.1.3 ASIA-PACIFIC

8.6.1.4 SOUTH AMERICA

8.6.1.5 MIDDLE EAST AND AFRICA

9 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE

9.1 OVERVIEW

9.2 GENETIC ENGINEERING

9.2.1 GENETIC ENGINEERING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

9.2.1.1 NORTH AMERICA

9.2.1.2 EUROPE

9.2.1.3 ASIA-PACIFIC

9.2.1.4 SOUTH AMERICA

9.2.1.5 MIDDLE EAST AND AFRICA

9.3 MOLECULAR BREEDING

9.3.1 MOLECULAR BREEDING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

9.3.1.1 NORTH AMERICA

9.3.1.2 EUROPE

9.3.1.3 ASIA-PACIFIC

9.3.1.4 SOUTH AMERICA

9.3.1.5 MIDDLE EAST AND AFRICA

9.4 GENOMIC SELECTION AND MARKER-ASSISTED BREEDING

9.4.1 GENOMIC SELECTION AND MARKER-ASSISTED BREEDING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

9.4.1.1 NORTH AMERICA

9.4.1.2 EUROPE

9.4.1.3 ASIA-PACIFIC

9.4.1.4 SOUTH AMERICA

9.4.1.5 MIDDLE EAST AND AFRICA

9.5 GENE-EDITING TECHNOLOGIES

9.5.1 GENE-EDITING TECHNOLOGIES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

9.5.1.1 NORTH AMERICA

9.5.1.2 EUROPE

9.5.1.3 ASIA-PACIFIC

9.5.1.4 SOUTH AMERICA

9.5.1.5 MIDDLE EAST AND AFRICA

9.6 OTHERS

9.6.1 OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

9.6.1.1 NORTH AMERICA

9.6.1.2 EUROPE

9.6.1.3 ASIA-PACIFIC

9.6.1.4 SOUTH AMERICA

9.6.1.5 MIDDLE EAST AND AFRICA

10 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TECHNOLOGY

10.1 OVERVIEW

10.2 INTERNET OF THINGS (IOT)

10.2.1 INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

10.2.1.1 SMART SENSORS

10.2.1.2 CONNECTED DEVICES

10.2.2 INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

10.2.2.1 NORTH AMERICA

10.2.2.2 EUROPE

10.2.2.3 ASIA-PACIFIC

10.2.2.4 SOUTH AMERICA

10.2.2.5 MIDDLE EAST AND AFRICA

10.3 ARTIFICIAL INTELLIGENCE (AI)

10.3.1 ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

10.3.1.1 MACHINE LEARNING PLATFORMS

10.3.1.2 COMPUTER VISION IN AGRICULTURE

10.3.2 ARTIFICIAL INTELLIGENCE (AI) IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

10.3.2.1 NORTH AMERICA

10.3.2.2 EUROPE

10.3.2.3 ASIA-PACIFIC

10.3.2.4 SOUTH AMERICA

10.3.2.5 MIDDLE EAST AND AFRICA

10.4 BIG DATA & ANALYTICS

10.4.1 BIG DATA & ANALYTICS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

10.4.1.1 CROP MONITORING TOOLS

10.4.1.2 YIELD MAPPING SOFTWARE

10.4.2 BIG DATA & ANALYTICS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

10.4.2.1 NORTH AMERICA

10.4.2.2 EUROPE

10.4.2.3 ASIA-PACIFIC

10.4.2.4 SOUTH AMERICA

10.4.2.5 MIDDLE EAST AND AFRICA

10.5 REMOTE SENSING

10.5.1 REMOTE SENSING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

10.5.1.1 NORTH AMERICA

10.5.1.2 EUROPE

10.5.1.3 ASIA-PACIFIC

10.5.1.4 SOUTH AMERICA

10.5.1.5 MIDDLE EAST AND AFRICA

10.6 BLOCKCHAIN

10.6.1 BLOCKCHAIN IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

10.6.1.1 NORTH AMERICA

10.6.1.2 EUROPE

10.6.1.3 ASIA-PACIFIC

10.6.1.4 SOUTH AMERICA

10.6.1.5 MIDDLE EAST AND AFRICA

10.7 OTHERS

10.7.1 OTHERS IN MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

10.7.1.1 NORTH AMERICA

10.7.1.2 EUROPE

10.7.1.3 ASIA-PACIFIC

10.7.1.4 SOUTH AMERICA

10.7.1.5 MIDDLE EAST AND AFRICA

11 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY APPLICATION

11.1 OVERVIEW

11.2 CROP MONITORING

11.2.1 CROP MONITORING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.2.1.1 NORTH AMERICA

11.2.1.2 EUROPE

11.2.1.3 ASIA-PACIFIC

11.2.1.4 SOUTH AMERICA

11.2.1.5 MIDDLE EAST AND AFRICA

11.3 IRRIGATION MANAGEMENT

11.3.1 IRRIGATION MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.3.1.1 NORTH AMERICA

11.3.1.2 EUROPE

11.3.1.3 ASIA-PACIFIC

11.3.1.4 SOUTH AMERICA

11.3.1.5 MIDDLE EAST AND AFRICA

11.4 FIELD MAPPING

11.4.1 FIELD MAPPING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.4.1.1 NORTH AMERICA

11.4.1.2 EUROPE

11.4.1.3 ASIA-PACIFIC

11.4.1.4 SOUTH AMERICA

11.4.1.5 MIDDLE EAST AND AFRICA

11.5 SOIL MANAGEMENT

11.5.1 SOIL MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.5.2 NORTH AMERICA

11.5.3 EUROPE

11.5.4 ASIA-PACIFIC

11.5.5 SOUTH AMERICA

11.5.6 MIDDLE EAST AND AFRICA

11.6 WEATHER PREDICTION

11.6.1 WEATHER PREDICTION IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.6.1.1 NORTH AMERICA

11.6.1.2 EUROPE

11.6.1.3 ASIA-PACIFIC

11.6.1.4 SOUTH AMERICA

11.6.1.5 MIDDLE EAST AND AFRICA

11.7 LIVESTOCK MONITORING

11.7.1 LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

11.7.1.1 RFID-BASED TRACKING

11.7.1.2 HEALTH MONITORING

11.7.2 LIVESTOCK MONITORING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.7.2.1 NORTH AMERICA

11.7.2.2 EUROPE

11.7.2.3 ASIA-PACIFIC

11.7.2.4 SOUTH AMERICA

11.7.2.5 MIDDLE EAST AND AFRICA

11.8 SUPPLY CHAIN MANAGEMENT

11.8.1 SUPPLY CHAIN MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.8.1.1 NORTH AMERICA

11.8.1.2 EUROPE

11.8.1.3 ASIA-PACIFIC

11.8.1.4 SOUTH AMERICA

11.8.1.5 MIDDLE EAST AND AFRICA

11.9 OTHERS

11.9.1 OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

11.9.1.1 NORTH AMERICA

11.9.1.2 EUROPE

11.9.1.3 ASIA-PACIFIC

11.9.1.4 SOUTH AMERICA

11.9.1.5 MIDDLE EAST AND AFRICA

12 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY FARM SIZE

12.1 OVERVIEW

12.2 LARGE FARMS

12.2.1 LARGE FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

12.2.1.1 NORTH AMERICA

12.2.1.2 EUROPE

12.2.1.3 ASIA-PACIFIC

12.2.1.4 SOUTH AMERICA

12.2.1.5 MIDDLE EAST AND AFRICA

12.3 MEDIUM FARMS

12.3.1 MEDIUM FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

12.3.1.1 NORTH AMERICA

12.3.1.2 EUROPE

12.3.1.3 ASIA-PACIFIC

12.3.1.4 SOUTH AMERICA

12.3.1.5 MIDDLE EAST AND AFRICA

12.4 SMALL FARMS

12.4.1 SMALL FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

12.4.1.1 NORTH AMERICA

12.4.1.2 EUROPE

12.4.1.3 ASIA-PACIFIC

12.4.1.4 SOUTH AMERICA

12.4.1.5 MIDDLE EAST AND AFRICA

13 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY END USER

13.1 OVERVIEW

13.2 INDIVIDUAL FARMERS

13.2.1 INDIVIDUAL FARMERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

13.2.1.1 NORTH AMERICA

13.2.1.2 EUROPE

13.2.1.3 ASIA-PACIFIC

13.2.1.4 SOUTH AMERICA

13.2.1.5 MIDDLE EAST AND AFRICA

13.3 CORPORATE AGRIBUSINESSES

13.3.1 CORPORATE AGRIBUSINESSES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

13.3.1.1 NORTH AMERICA

13.3.1.2 EUROPE

13.3.1.3 ASIA-PACIFIC

13.3.1.4 SOUTH AMERICA

13.3.1.5 MIDDLE EAST AND AFRICA

13.4 AGRICULTURAL COOPERATIVES

13.4.1 AGRICULTURAL COOPERATIVES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGON, 2018-2033 (USD THOUSAND)

13.4.1.1 NORTH AMERICA

13.4.1.2 EUROPE

13.4.1.3 ASIA-PACIFIC

13.4.1.4 SOUTH AMERICA

13.4.1.5 MIDDLE EAST AND AFRICA

13.5 GOVERNMENT & NGO INITIATIVES

13.5.1 GOVERNMENT & NGO INITIATIVES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

13.5.1.1 NORTH AMERICA

13.5.1.2 EUROPE

13.5.1.3 ASIA-PACIFIC

13.5.1.4 SOUTH AMERICA

13.5.1.5 MIDDLE EAST AND AFRICA

13.6 RESEARCH ORGANIZATIONS

13.6.1 RESEARCH ORGANIZATIONS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

13.6.1.1 NORTH AMERICA

13.6.1.2 EUROPE

13.6.1.3 ASIA-PACIFIC

13.6.1.4 SOUTH AMERICA

13.6.1.5 MIDDLE EAST AND AFRICA

13.7 OTHERS

13.7.1 OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

13.7.1.1 NORTH AMERICA

13.7.1.2 EUROPE

13.7.1.3 ASIA-PACIFIC

13.7.1.4 SOUTH AMERICA

13.7.1.5 MIDDLE EAST AND AFRICA

14 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL

14.1 OVERVIEW

14.2 INDIRECT

14.2.1 INDIRECT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

14.2.1.1 NORTH AMERICA

14.2.1.2 EUROPE

14.2.1.3 ASIA-PACIFIC

14.2.1.4 SOUTH AMERICA

14.2.1.5 MIDDLE EAST AND AFRICA

14.3 DIRECT

14.3.1 DIRECT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

14.3.1.1 NORTH AMERICA

14.3.1.2 EUROPE

14.3.1.3 ASIA-PACIFIC

14.3.1.4 SOUTH AMERICA

14.3.1.5 MIDDLE EAST AND AFRICA

15 MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION

15.1 MIDDLE EAST AND AFRICA

15.1.1 SOUTH AFRICA

15.1.2 EGYPT

15.1.3 SAUDI ARABIA

15.1.4 UNITED ARAB EMIRATE

15.1.5 ISRAEL

15.1.6 BAHRAIN

15.1.7 KUWAIT

15.1.8 OMAN

15.1.9 QATAR

15.1.10 REST OF MIDDLE EAST AND AFRICA

16 MIDDLE EAST AND AFRICA AGRITECH MARKET: COMPANY LANDSCAPE

16.1 MANUFACTURER COMPANY SHARE ANALYSIS: GLOBAL

16.2 COMPANY SHARE ANALYSIS: ASIA-PACIFIC

16.3 COMPANY SHARE ANALYSIS: NORTH AMERICA

16.4 COMPANY SHARE ANALYSIS: EUROPE

17 SWOT ANALYSIS

18 COMPANY PROFILES

18.1 DEERE & COMPANY

18.1.1 COMPANY SNAPSHOT

18.1.2 REVENUE ANALYSIS

18.1.3 COMPANY SHARE ANALYSIS

18.1.4 PRODUCT PORTFOLIO

18.1.5 RECENT DEVELOPMENT

18.2 AGCO CORPORATION

18.2.1 COMPANY SNAPSHOT

18.2.2 REVENUE ANALYSIS

18.2.3 COMPANY SHARE ANALYSIS

18.2.4 PRODUCT PORTFOLIO

18.2.5 RECENT DEVELOPMENT

18.3 BAYER CROPSCIENCE

18.3.1 COMPANY SNAPSHOT

18.3.2 REVENUE ANALYSIS

18.3.3 COMPANY SHARE ANALYSIS

18.3.4 PRODUCT PORTFOLIO

18.3.5 RECENT DEVELOPMENT

18.4 SYNGENTA AG

18.4.1 COMPANY SNAPSHOT

18.4.2 COMPANY SHARE ANALYSIS

18.4.3 RODUCT PORTFOLIO

18.4.4 RECENT DEVELOPMENT

18.5 CNH INDUSTRIAL N.V.

18.5.1 COMPANY SNAPSHOT

18.5.2 REVENUE ANALYSIS

18.5.3 COMPANY SHARE ANALYSIS

18.5.4 BRAND PORTFOLIO

18.5.5 RECENT DEVELOPMENT

18.6 AG LEADER TECHNOLOGY

18.6.1 COMPANY SNAPSHOT

18.6.2 PRODUCT PORTFOLIO

18.6.3 RECENT DEVELOPMENT

18.7 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED

18.7.1 COMPANY SNAPSHOT

18.7.2 PRODUCT/SERVICE PORTFOLIO

18.7.3 RECENT DEVELOPMENT

18.8 CORTEVA

18.8.1 COMPANY SNAPSHOT

18.8.2 REVENUE ANALYSIS

18.8.3 PRODUCT PORTFOLIO

18.8.4 RECENT DEVELOPMENT

18.9 CROPX INC.

18.9.1 COMPANY SNAPSHOT

18.9.2 PRODUCT PORTFOLIO

18.9.3 RECENT DEVELOPMENT

18.1 DJI

18.10.1 COMPANY SNAPSHOT

18.10.2 PRODUCT PORTFOLIO

18.10.3 RECENT DEVELOPMENT

18.11 FARMERS EDGE (CORVIAN)

18.11.1 COMPANY SNAPSHOT

18.11.2 PRODUCT/SERVICE PORTFOLIO

18.11.3 RECENT DEVELOPMENT

18.12 JIYI ROBOTICS

18.12.1 COMPANY SNAPSHOT

18.12.2 PRODUCT PORTFOLIO

18.12.3 RECENT DEVELOPMENT

18.13 TARANIS.

18.13.1 COMPANY SNAPSHOT

18.13.2 PRODUCT PORTFOLIO

18.13.3 RECENT DEVELOPMENT

18.14 TOPCON AGRICULTURE

18.14.1 COMPANY SNAPSHOT

18.14.2 PRODUCT/SERVICE PORTFOLIO

18.14.3 RECENT DEVELOPMENT

18.15 THE WEATHER COMPANY LLC

18.15.1 COMPANY SNAPSHOT

18.15.2 PRODUCT/SERVICE PORTFOLIO

18.15.3 RECENT DEVELOPMENT

18.16 XAG CO., LTD.

18.16.1 COMPANY SNAPSHOT

18.16.2 PRODUCT/SERVICE PORTFOLIO

18.16.3 RECENT DEVELOPMENT

18.17 YARA

18.17.1 COMPANY SNAPSHOT

18.17.2 REVENUE ANALYSIS

18.17.3 PRODUCT PORTFOLIO

18.17.4 RECENT DEVELOPMENT

19 QUESTIONNAIRE

20 RELATED REPORTS

List of Table

TABLE 1  STRATEGIC OVERVIEW OF COMPETITIVE FORCES IN THE MIDDLE EAST AND AFRICA AGRITECH MARKET

TABLE 2  SUPPLY CHAIN ANALYSIS OF THE MIDDLE EAST AND AFRICA AGRITECH MARKET

TABLE 3  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 4  MIDDLE EAST AND AFRICA PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 5  MIDDLE EAST AND AFRICA SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 6  MIDDLE EAST AND AFRICA MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 7  PRECISION FARMING EQUIPMENT IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 8  MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 9  FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 10  MIDDLE EAST AND AFRICA SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 11  MIDDLE EAST AND AFRICA DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 12  MIDDLE EAST AND AFRICA AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 13  SMART IRRIGATION SYSTEMS IN MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 14  MIDDLE EAST AND AFRICA AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 15  MIDDLE EAST AND AFRICA FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 16  AGRICULTURAL DRONES IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 17  OTHERS IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 18  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 19  GENETIC ENGINEERING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 20  MOLECULAR BREEDING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 21  GENOMIC SELECTION AND MARKER-ASSISTED BREEDING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 22  GENE-EDITING TECHNOLOGIES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 23  OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 24  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 25  MIDDLE EAST AND AFRICA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 26  MIDDLE EAST AND AFRICA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 27  MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 28  ARTIFICIAL INTELLIGENCE (AI) IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 29  BIG DATA & ANALYTICS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 30  BIG DATA & ANALYTICS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 31  REMOTE SENSING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 32  BLOCKCHAIN IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 33  OTHERS IN MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET BY REGION, 2018-2033 (USD THOUSAND)

TABLE 34  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 35  CROP MONITORING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 36  IRRIGATION MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 37  FIELD MAPPING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 38  SOIL MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 39  WEATHER PREDICTION IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 40  MIDDLE EAST AND AFRICA LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 41  LIVESTOCK MONITORING IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 42  SUPPLY CHAIN MANAGEMENT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 43  OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 44  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 45  LARGE FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 46  MEDIUM FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 47  SMALL FARMS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 48  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 49  INDIVIDUAL FARMERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 50  CORPORATE AGRIBUSINESSES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 51  AGRICULTURAL COOPERATIVES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 52  GOVERNMENT & NGO INITIATIVES IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 53  RESEARCH ORGANIZATIONS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 54  OTHERS IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 55  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 56  INDIRECT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION 2018-2033 (USD THOUSAND)

TABLE 57  DIRECT IN MIDDLE EAST AND AFRICA AGRITECH MARKET, BY REGION, 2018-2033 (USD THOUSAND)

TABLE 58  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY COUNTRY, 2018-2033 (USD THOUSAND)

TABLE 59  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 60  MIDDLE EAST AND AFRICA PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 61  MIDDLE EAST AND AFRICA SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 62  MIDDLE EAST AND AFRICA MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 63  MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 64  MIDDLE EAST AND AFRICA SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 65  MIDDLE EAST AND AFRICA DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 66  MIDDLE EAST AND AFRICA AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 67  MIDDLE EAST AND AFRICA AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 68  MIDDLE EAST AND AFRICA FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 69  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 70  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 71  MIDDLE EAST AND AFRICA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 72  MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 73  MIDDLE EAST AND AFRICA BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 74  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 75  MIDDLE EAST AND AFRICA LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 76  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 77  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 78  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 79  SOUTH AFRICA AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 80  SOUTH AFRICA PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 81  SOUTH AFRICA SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 82  SOUTH AFRICA MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 83  SOUTH AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 84  SOUTH AFRICA SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 85  SOUTH AFRICA DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 86  SOUTH AFRICA AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 87  SOUTH AFRICA AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 88  SOUTH AFRICA FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 89  SOUTH AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 90  SOUTH AFRICA AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 91  SOUTH AFRICA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 92  SOUTH AFRICA ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 93  SOUTH AFRICA BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 94  SOUTH AFRICA AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 95  SOUTH AFRICA LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 96  SOUTH AFRICA AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 97  SOUTH AFRICA AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 98  SOUTH AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 99  EGYPT AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 100  EGYPT PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 101  EGYPT SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 102  EGYPT MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 103  EGYPT FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 104  EGYPT SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 105  EGYPT DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 106  EGYPT AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 107  EGYPT AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 108  EGYPT FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 109  EGYPT AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 110  EGYPT AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 111  EGYPT INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 112  EGYPT ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 113  EGYPT BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 114  EGYPT AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 115  EGYPT LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 116  EGYPT AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 117  EGYPT AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 118  EGYPT AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 119  SAUDI ARABIA AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 120  SAUDI ARABIA PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 121  SAUDI ARABIA SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 122  SAUDI ARABIA MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 123  SAUDI ARABIA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 124  SAUDI ARABIA SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 125  SAUDI ARABIA DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 126  SAUDI ARABIA AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 127  SAUDI ARABIA AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 128  SAUDI ARABIA FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 129  SAUDI ARABIA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 130  SAUDI ARABIA AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 131  SAUDI ARABIA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 132  SAUDI ARABIA ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 133  SAUDI ARABIA BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 134  SAUDI ARABIA AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 135  SAUDI ARABIA LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 136  SAUDI ARABIA AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 137  SAUDI ARABIA AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 138  SAUDI ARABIA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 139  UNITED ARAB EMIRATE AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 140  UNITED ARAB EMIRATE PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 141  UNITED ARAB EMIRATE SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 142  UNITED ARAB EMIRATE MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 143  UNITED ARAB EMIRATE FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 144  UNITED ARAB EMIRATE SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 145  UNITED ARAB EMIRATE DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 146  UNITED ARAB EMIRATE AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 147  UNITED ARAB EMIRATE AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 148  UNITED ARAB EMIRATE FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 149  UNITED ARAB EMIRATE AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 150  UNITED ARAB EMIRATE AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 151  UNITED ARAB EMIRATE INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 152  UNITED ARAB EMIRATE ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 153  UNITED ARAB EMIRATE BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 154  UNITED ARAB EMIRATE AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 155  UNITED ARAB EMIRATE LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 156  UNITED ARAB EMIRATE AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 157  UNITED ARAB EMIRATE AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 158  UNITED ARAB EMIRATE AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 159  ISRAEL AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 160  ISRAEL PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 161  ISRAEL SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 162  ISRAEL MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 163  ISRAEL FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 164  ISRAEL SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 165  ISRAEL DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 166  ISRAEL AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 167  ISRAEL AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 168  ISRAEL FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 169  ISRAEL AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 170  ISRAEL AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 171  ISRAEL INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 172  ISRAEL ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 173  ISRAEL BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 174  ISRAEL AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 175  ISRAEL LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 176  ISRAEL AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 177  ISRAEL AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 178  ISRAEL AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 179  BAHRAIN AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 180  BAHRAIN PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 181  BAHRAIN SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 182  BAHRAIN MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 183  BAHRAIN FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 184  BAHRAIN SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 185  BAHRAIN DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 186  BAHRAIN AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 187  BAHRAIN AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 188  BAHRAIN FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 189  BAHRAIN AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 190  BAHRAIN AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 191  BAHRAIN INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 192  BAHRAIN ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 193  BAHRAIN BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 194  BAHRAIN AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 195  BAHRAIN LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 196  BAHRAIN AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 197  BAHRAIN AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 198  BAHRAIN AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 199  KUWAIT AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 200  KUWAIT PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 201  KUWAIT SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 202  KUWAIT MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 203  KUWAIT FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 204  KUWAIT SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 205  KUWAIT DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 206  KUWAIT AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 207  KUWAIT AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 208  KUWAIT FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 209  KUWAIT AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 210  KUWAIT AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 211  KUWAIT INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 212  KUWAIT ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 213  KUWAIT BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 214  KUWAIT AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 215  KUWAIT LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 216  KUWAIT AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 217  KUWAIT AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 218  KUWAIT AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 219  OMAN AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 220  OMAN PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 221  OMAN SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 222  OMAN MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 223  OMAN FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 224  OMAN SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 225  OMAN DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 226  OMAN AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 227  OMAN AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 228  OMAN FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 229  OMAN AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 230  OMAN AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 231  OMAN INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 232  OMAN ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 233  OMAN BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 234  OMAN AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 235  OMAN LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 236  OMAN AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 237  OMAN AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 238  OMAN AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 239  QATAR AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 240  QATAR PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 241  QATAR SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 242  QATAR MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 243  QATAR FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 244  QATAR SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 245  QATAR DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 246  QATAR AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 247  QATAR AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 248  QATAR FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 249  QATAR AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 250  QATAR AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 251  QATAR INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 252  QATAR ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 253  QATAR BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 254  QATAR AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 255  QATAR LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 256  QATAR AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 257  QATAR AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 258  QATAR AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

TABLE 259  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PRODUCT TYPE, 2018-2033 (USD THOUSAND)

TABLE 260  REST OF MIDDLE EAST AND AFRICA PRECISION FARMING EQUIPMENT IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 261  REST OF MIDDLE EAST AND AFRICA SOIL MONITORING DEVICES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 262  REST OF MIDDLE EAST AND AFRICA MOISTURE SENSORS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 263  REST OF MIDDLE EAST AND AFRICA FARM MANAGEMENT SOFTWARE IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 264  REST OF MIDDLE EAST AND AFRICA SMART IRRIGATION SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 265  REST OF MIDDLE EAST AND AFRICA DRIP IRRIGATION CONTROLLERS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 266  REST OF MIDDLE EAST AND AFRICA AUTOMATED DRIP SYSTEMS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 267  REST OF MIDDLE EAST AND AFRICA AGRICULTURAL DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 268  REST OF MIDDLE EAST AND AFRICA FIXED-WING DRONES IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 269  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2018-2033 (USD THOUSAND)

TABLE 270  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TECHNOLOGY, 2018-2033 (USD THOUSAND)

TABLE 271  REST OF MIDDLE EAST AND AFRICA INTERNET OF THINGS (IOT) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 272  REST OF MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE (AI) IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 273  REST OF MIDDLE EAST AND AFRICA BIG DATA & ANALYTICS IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 274  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY APPLICATION, 2018-2033 (USD THOUSAND)

TABLE 275  REST OF MIDDLE EAST AND AFRICA LIVESTOCK MONITORING IN AGRITECH MARKET, BY TYPE, 2018-2033 (USD THOUSAND)

TABLE 276  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY FARM SIZE, 2018-2033 (USD THOUSAND)

TABLE 277  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY END USER, 2018-2033 (USD THOUSAND)

TABLE 278  REST OF MIDDLE EAST AND AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2018-2033 (USD THOUSAND)

List of Figure

FIGURE 1  MIDDLE EAST AND AFRICA AGRITECH MARKET : SEGMENTATION

FIGURE 2  MIDDLE EAST AND AFRICA AGRITECH MARKET : DATA TRIANGULATION

FIGURE 3  MIDDLE EAST AND AFRICA AGRITECH MARKET: DROC ANALYSIS

FIGURE 4  MIDDLE EAST AND AFRICA AGRITECH MARKET: MIDDLE EAST AND AFRICA VS REGIONAL ANALYSIS

FIGURE 5  MIDDLE EAST AND AFRICA AGRITECH MARKET : COMPANY RESEARCH ANALYSIS

FIGURE 6  MIDDLE EAST AND AFRICA AGRITECH MARKET: INTERVIEW DEMOGRAPHICS

FIGURE 7  MIDDLE EAST AND AFRICA AGRITECH MARKET: DBMR MARKET POSITION GRID

FIGURE 8  MIDDLE EAST AND AFRICA AGRITECH MARKET: MARKET END USER COVERAGE GRID

FIGURE 9  MIDDLE EAST AND AFRICA AGRITECH MARKET : VENDOR SHARE ANALYSIS

FIGURE 10  EXECUTIVE SUMMARY

FIGURE 11  STRATEGIC DECISION

FIGURE 12  MIDDLE EAST AND AFRICA AGRITECH MARKET: SEGMENTATION

FIGURE 13  RISING ADOPTION OF PRECISION FARMING TECHNOLOGIES EXPECTED TO DRIVE THE MIDDLE EAST AND AFRICA AGRITECH MARKET IN THE FORECAST PERIOD OF 2026 TO 2033

FIGURE 14  PRECISION FARMING EQUIPMENT SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE MIDDLE EAST AND AFRICA AGRITECH MARKET IN 2026 & 2033

FIGURE 15  ASIA PACIFIC IS EXPECTED TO DOMINATE THE MIDDLE EAST AND AFRICA AGRITECH MARKET AND EUROPE TO GROW WITH THE HIGHEST CAGR IN THE FORECAST PERIOD OF 2026 TO 2033

FIGURE 16  ASIA PACIFIC IS THE FASTEST GROWING MARKET FOR AGRITECH MANUFACTURERS IN THE FORECAST PERIOD OF 2026 TO 2033

FIGURE 17  VENDOR SELECTION CRITERIA

FIGURE 18  VALUE CHAIN ANALYSIS

FIGURE 19  PORTER’S FIVE FORCES ANALYSIS

FIGURE 20  SUPPLY CHAIN ANALYSIS

FIGURE 21  DROC ANALYSIS

FIGURE 23  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY PLANT SCIENCE, 2025

FIGURE 24  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY TECHNOLOGY, 2025

FIGURE 25  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY APPLICATION, 2025

FIGURE 26  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY FARM SIZE, 2025

FIGURE 27  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY END USER, 2025

FIGURE 28  MIDDLE EAST AND AFRICA AGRITECH MARKET, BY DISTRIBUTION CHANNEL, 2025

FIGURE 29  MIDDLE EAST AND AFRICA AGRITECH MARKET: SNAPSHOT (2025)

FIGURE 30  MIDDLE EAST AND AFRICA AGRITECH MARKET: COMPANY SHARE 2025 (%)

FIGURE 31  ASIA-PACIFC AGRITECH MARKET: COMPANY SHARE 2025 (%)

FIGURE 32  NORTH AMERICA AGRITECH MARKET: COMPANY SHARE 2025 (%)

FIGURE 33  EUROPE AGRITECH MARKET: COMPANY SHARE 2025 (%)

Research Methodology

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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