エジプトの人工知能市場 – 2029年までの業界動向と予測

エジプトの人工知能市場の分析と規模

人工知能は、すべてのリソースが正しく、正しい場所で機能していることを確認することで、データ管理、スムーズなフロー、セキュリティのために使用されます。予測、スケジュール、スキル管理、リソース管理、データの処理と計算、分類はすべて、人工知能の一般的な側面です。人工知能技術の進歩とスマートシステムへの段階的な移行により、エジプトの人工知能市場は将来急成長するでしょう。人工知能システムへの投資の増加が主にエジプトの人工知能市場を牽引しています。さらに、インテリジェントシステムの需要の増加は、市場の急速な成長を促進しています。ただし、人工知能（AI）ソリューションの実装コストが高いことが、市場の成長に影響を与える主な抑制要因です。さらに、インダストリー4.0のトレンドの増加は、エジプトの人工知能市場に有利な機会を提供します。

Data Bridge Market Research の分析によると、エジプトの人工知能市場は、予測期間中に 13.4% の CAGR で成長し、2029 年までに 29 億 6,137 万米ドルに達すると予想されています。「ハードウェア」は、エジプトの人工知能市場で最大のコンポーネント セグメントを占め、さまざまなプラットフォームで基本的な機能と幅広い機能を提供します。     

市場の定義

人工知能は、コンピューター サイエンスと堅牢なデータセットを組み合わせて問題解決を可能にする分野です。また、人工知能と関連して頻繁に言及される機械学習とディープラーニングのサブ分野も含まれます。これらの分野は、入力データに基づいて予測や分類を行うエキスパート システムの作成を目指す AI アルゴリズムで構成されています。

人工知能は、弱い AI と強い AI に分類できます。弱い AI は、狭義の AI または狭義の人工知能 (ANI) とも呼ばれ、特定のタスクを実行するようにトレーニングされ、重点的に学習された AI です。弱い AI は、今日私たちの周りにあるほとんどの AI を動かしています。このタイプの AI は、決して弱いわけではないため、「狭義」という言葉の方がより正確な表現かもしれません。この AI は、Apple の Siri、Amazon の Alexa、IBM Watson、自律走行車など、非常に堅牢なアプリケーションを可能にします。強い AI は、汎用人工知能 (AGI) と超人工知能 (ASI) で構成されています。汎用人工知能 (AGI) または汎用 AI は、機械が人間と同等の知能を持つという理論上の AI 形式です。つまり、問題を解決し、学習し、将来の計画を立てることができる自己認識意識を持つことになります。

エジプトの人工知能市場の動向

このセクションでは、市場の推進要因、利点、機会、制約、課題について理解します。これらはすべて、以下で詳しく説明します。

ドライバー

• 人工知能システムへの投資増加

Governments and businesses across the Middle East are beginning to realize the shift towards AI and advanced technologies. AI has the potential to fundamentally disrupt markets in the Middle East through the creation of innovative new services and entirely new business models. Businesses across the Middle East have started to shift their focus toward emerging and in-demand technologies such as artificial intelligence

• Majority of Applications of Artificial Intelligence Across Different Sectors Such as Healthcare, BFSI, E-commerce and Retail

Artificial intelligence has become crucial for automating various corporate and industrial tasks. Artificial intelligence can improve the efficiency of a manufacturing unit. At the same time, it can make human resource management, financial analysis and other business decision-making processes accurate. Implementation of this technology also automates various business tasks. Without human involvement, businesses can manage many tasks through artificial intelligence or machine learning.

• Rise in Demand for Intelligent Systems

Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Intelligent systems refer to different software tools that enable decision-makers to draw on experts' knowledge and decision processes in making decisions. Manufacturers use AI technology to make systems intelligent. Machine intelligence proves more efficient than human intelligence in a few cases. Therefore, a business can increase productivity by integrating AI with its systems.

• Rising Adoption of Cloud Technology

Nowadays cloud has become a new paradigm for delivering computing as a utility. Organizations were adapting and reshaping themselves to meet consumers growing and changing demands with technology, innovation and digitization. Cloud services are revolutionizing business operations through managed services. Businesses are adopting cloud technologies to manage and process data for real-time insights effectively. Using AI in the cloud can improve performance and efficiency while driving enterprise digital transformation. AI capabilities in the cloud computing environment are crucial to making business operations more efficient, strategic and insight-driven while also providing additional flexibility, agility and cost savings.

Restraints

• High Implementation Cost of Artificial Intelligence (AI) Solutions

Artificial intelligence (AI) encompasses everything from chatbots to data analysis systems, helping businesses around the globe to create personalized, sales-driving experiences for consumers and business buyers. High cost and time are required to implement and install an AI system effectively. The true cost of AI can be a lot more complicated based on the features needed and business line; sometimes, the budget may exceed the decided ones.

• Lack of Technical Expertise

Increasing technological advances, innovations and digitization of business processes are making it difficult for workers, employees and staff to match their skill set with the needs of the growing and technologically updated operations. This creates a skill gap between the staff and the business. There is a shortage of technical skilled expertise with relevant qualifications and knowledge as technology upgrades daily.

Post COVID-19 Impact on Artificial Intelligence

COVID-19 created a major impact on artificial intelligence as almost every country opted for the shutdown of every production facility except the ones dealing in producing essential goods. The government has taken strict actions such as shutting down the production and sale of non-essential goods, blocking international trade and many more to prevent the spread of COVID-19. The only businesses dealing with this pandemic were the essential services allowed to open and run the processes.

The limited investment costs and lack of employees hampered data center sales and production. However, government and market key players adopted new safety measures for developing the practices. Technological advancements escalated the growth rate of Artificial Intelligence as it targeted the right audience. The data center construction market is expected to regain its pace during the post-pandemic scenario due to the easing of the restrictions.

Recent Developments

• In December 2020, Twerlo announced the launch of its WhatsApp API-based customer support solution. The products enhance customer experience by building solutions that ease customer journey. Twerlo has the vision of transforming the ways businesses communicate with their customers. Twerlo has already started gaining attention from the business giants in Saudi Arabia. This enhanced the company's offerings in the region
• In March 2022, SAP SE announced the opening of SAP Labs Singapore, a digital innovation hub that will promote local digital talent, advance ecosystem and community involvement and drive product leadership. To advance a revolutionary digital supply chain, intelligent business network and sustainability solutions, this will be the first of its kind for SAP in the South East Asia (SEA) region. Deep technologies such as artificial intelligence (AI) and machine learning will also be catalyzed. This development will enhance the presence of SAP in the region

Egypt Artificial Intelligence Market Scope

Egypt artificial intelligence market is segmented into component, type, organization size, technology, application and end user. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Hardware
• Software
• Services

On the basis of component, the Egypt artificial intelligence market is segmented into hardware, software and services.

Type

• General/Strong AI,
• Narrow/Weak AI

On the basis of type, the Egypt artificial intelligence market is segmented into general/strong AI, narrow/weak AI.

Organization Size

• Large Enterprises
• Small Enterprises
• Medium-Sized Enterprises

On the basis of organization size, the Egypt artificial intelligence market is segmented into large enterprises, small and medium-sized enterprises.

Technology

• Machine Learning
• Deep Learning
• Computer Vision
• Natural Language Processing (NLP)
• Speech Recognition
• Image Processing
• Context-Aware Computing

On the basis of technology, the Egypt artificial intelligence market is segmented into machine learning, deep learning, computer vision, natural language processing (NLP), speech recognition, image processing, context-aware computing.

Application

• Virtual Assistants/Chatbots
• Forecasts and Modeling
• Text Analytics
• Speech Analytics
• Predictive Maintenance
• Others

On the basis of application, the Egypt artificial intelligence market is segmented into virtual assistants/chatbots, forecasts and modeling, text analytics, speech analytics, predictive maintenance and others.

End User

• Manufacturing
• Retail
• Healthcare
• Security
• Automotive
• Aerospace
• Marketing
• Construction
• Telecommunication
• Defense
• Oil and Gas
• Banking and Finance
• Law
• Building Automation
• Media and Entertainment
• Human Resources
• Supply Chain
• Food and Beverage
• Gaming
• Agriculture
• Consumer Products
•  Education
• Entertainment
• Others

On the basis of end user, the Egypt artificial intelligence market is segmented into manufacturing, retail, healthcare, security, automotive, aerospace, marketing, construction, telecommunication, defense, oil and gas, banking and finance, law, building automation, media and entertainment, human resources, supply chain, food and beverage, gaming, agriculture, consumer products, education, entertainment and others.

Competitive Landscape and Egypt Artificial Intelligence Market Share Analysis

The Egypt artificial intelligence market competitive landscape provides details by the competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, region 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 the Egypt artificial intelligence market.

エジプトの人工知能市場で活動している主要企業としては、NVIDIA Corporation、Intel Corporation、IBM Corporation、Cisco Systems, Inc.、Amazon Web Services, Inc. (Amazon.com, Inc. の子会社)、Google (Alphabet Inc. の子会社)、QlikTech International AB、MICROSTRATEGY INCORPORATED、Twerlo、CBOT、WideBot, Inc、DilenyTech、Siemens、SAMSUNG ELECTRONICS CO., LTD.、Meta、Oracle、SAP SE、Salesforce, Inc.、SAS Institute Inc.、Baidu, Inc.、Hyperlink InfoSystem、CSP Solution、DECE Software Inc.、Rockwell Automation, Inc.、Yesil Science Teknoloji Ltd. Sti.、Microsoft、Huawei Technologies Co., Ltd. などが挙げられます。

SKU-69067