Advertisement
Image

Global Artificial Intelligence (AI) in Agriculture Market – Industry Trends and Forecast to 2029

  • Semiconductors and Electronics
  • Upcoming Report
  • Dec 2021
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60
  • Semiconductors and Electronics
  • Upcoming Report
  • Dec 2021
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global Artificial Intelligence (AI) in Agriculture Market, By Offering (Hardware, Software, Service and Artificial Intelligence-as-a-Service),  Technology (Predictive Analytics, Machine Learning and Computer Vision), Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring and Drone Analytics), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2029

Global Artificial Intelligence (AI) in Agriculture Market Market Analysis and Insights of Artificial Intelligence (AI) in Agriculture Market

Growing focus on the technological advancements by the major players, rising up gradation of existing infrastructure with advanced systems and rising adoption of artificial intelligence especially in the developing economies are the major factors attributable to the growth of artificial intelligence (AI) in agriculture market. Data Bridge Market Research analyses that the artificial intelligence (AI) in agriculture market will exhibit a CAGR of 15.54% for the forecast period of 2022-2029. Therefore, the artificial intelligence (AI) in agriculture market value would rocket up to USD 3.95 billion by 2029.

Artificial intelligence is an advanced computer science technology that enables the machines to learn things and adapt the situation automatically on their own. Artificial intelligence in agriculture is used for a wide range of applications such as facial recognition, computerised water systems, driverless tractors and much more.

Rising globalization and growth in the adoption of new advanced technologies by the agricultural industry will emerge as the major market growth driving factors. Growing demand for high quality agricultural production, supportive government policies and initiatives to promote modern agricultural tools and techniques and widespread industrialization will further aggravate the market value. Growing expenditure to undertake research and development proficiencies and surging usage of drones in agricultural farms will further carve the way for the growth of the market.

However, dearth of knowledge and technological expertise will act as a growth restraint for the market. Technological challenges, interoperability issues and lack of standardisation will further dampen the growth rate of the market. Large scale technological limitations in the underdeveloped economies and high costs associated with precise field data collection will further challenge the market growth rate.

This artificial intelligence (AI) in agriculture market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence (AI) in agriculture market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Artificial Intelligence (AI) in Agriculture Market Scope and Market Size

The artificial intelligence (AI) in agriculture market is segmented on the basis of offering, technology and application. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

  • On the basis of offering, the artificial intelligence (AI) in agriculture market is segmented into hardware, software, service, artificial intelligence-as-a-service. Hardware is sub segmented into network, storage device and processor. Software is sub segmented into AI Platform and AI Solution. Service is sub segmented into support and maintenance and deployment and integration.
  • On the basis of technology, the artificial intelligence (AI) in agriculture market is segmented into predictive analytics, machine learning and computer vision.
  • On the basis of application, the artificial intelligence (AI) in agriculture market is segmented into livestock monitoring, precision farming, agriculture robots, livestock monitoring, drone analytics and others. Precision farming is sub segmented into yield monitoring, crop scouting, weather tracking and forecasting, field mapping and irrigation management. Others are sub segmented into smart greenhouse applications, fish farming application and soil management. Soil Management is further sub segmented into nutrient monitoring and moisture monitoring.

Artificial Intelligence (AI) in Agriculture Market Country Level Analysis

The artificial intelligence (AI) in agriculture market is analysed and market size, volume information is provided by country, offering, technology and application as referenced above.

The countries covered in the artificial intelligence (AI) in agriculture market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America region dominates the artificial intelligence (AI) in agriculture market and will continue to flourish its trend of dominance during the forecast period. This is because of the increasing expenditure for research and development proficiencies in this region and strong dominance in artificial intelligence in this region. Asia-Pacific region is projected to undergo substantial during the forecast period and will score the highest CAGR owing to the surging adoption of connected devices technology by the agricultural industry.

The country section of the artificial intelligence (AI) in agriculture market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Artificial Intelligence (AI) in Agriculture Market Share Analysis

The artificial intelligence (AI) in agriculture market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to artificial intelligence (AI) in agriculture market.

Some of the major players operating in the artificial intelligence (AI) in agriculture market are Hewlett Packard Enterprise Development LP, Cisco Systems, Inc., IBM, Microsoft, Amazon Web Services Inc., Oracle, Google LLC, Broadcom., Descartes Labs, Inc., Wipro Limited., Deere & Company, Granular, Inc., aWhere Inc., The Climate Corporation, Agribotix LLC, Tule Technologies Inc, Prospera Technologies, CropX inc., Harvest CROO Robotics LLC. and FarmBot among others..


SKU-
Why Choose Us
Flowers


Frequently Asked Questions

The Artificial Intelligence (AI) in Agriculture Market is expected to soar at a CAGR of 15.54% forecast by 2029
The Artificial Intelligence (AI) in Agriculture Market rocket up to $3.95 billion by 2029.
The Artificial Intelligence (AI) in Agriculture Market report is divided by offering, technology & application.
The North America region dominates the artificial intelligence (AI) in the agriculture market and will continue to flourish in its trend of dominance during the forecast period.