Global AI in Agriculture Market 2020: Key Manufacturers, Industry Share, Size, Growth Factors, Regional, and Competitive Landscape Forecast to 2026


Final Report will add the analysis of the impact of COVID-19 on this industry.

Global “AI in Agriculture Market” Research Report 2015-2026 is a historical overview and in-depth study on the current & future market of the AI in Agriculture industry. The report represents a basic overview of the AI in Agriculture market share, status, competitor segment with a basic introduction of key vendors, top regions, product types and end industries. This report gives a historical overview of the AI in Agriculture market trends, growth, revenue, capacity, cost structure, and key drivers analysis.

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The report offers detailed coverage of the Global AI in Agriculture market which includes industry chain structure, definitions, applications, and classifications. The global AI in Agriculture market analysis is provided for the international markets including development trends, competitive landscape analysis, investment plan, business strategy, opportunity, and key regions development status. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, industry share, policy, price, revenue and gross margins.

Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.

Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics. Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.

Market Analysis and Insights: Global AI in Agriculture Market

The global AI in Agriculture market size is projected to reach US$ 692.8 million by 2026, from US$ 608.8 million in 2020, at a CAGR of 12.8%% during 2021-2026.

Global AI in Agriculture Scope and Market Size

AI in Agriculture market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global AI in Agriculture market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

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Report Scope And Segmentation Table:


Machine Learning, Computer Vision, Predictive Analytics,


Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others,

Key Players:

Ag Leader Technology, Trimble, John Deere, Iteris, AGCO, aWhere, Gamaya, Granular, Raven Industries, Prospera, Skysquirrel Technologies,

CAGR 2021-2026:


Market Size 2020:

USD 608.8 million

Market Size 2026:

USD 692.8 million

Historical Years:


Base Year:


With tables and figures helping analyze worldwide Global AI in Agriculture market growth, this research provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.

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AI in Agriculture Market Report Contains Following Points in TOC:

Chapter 1: AI in Agriculture Market Product Overview, Market Segment, Size, Sales, Growth Rate, Price by Type

Chapter 2: Global AI in Agriculture Market Competition, Sales, Price, Base Distribution, Sales Area, Product Types, and Trends by Company

Chapter 3: AI in Agriculture Company Basic Information, Manufacturing Base and Competitors, Product Category, Applications and Specifications, Price and Gross Margin (2015-2026)

Chapter 4: AI in Agriculture Market Status, Size, CAGR, Revenue, Price, Gross Margin and Outlook by Regions

Chapter 5: AI in Agriculture Market Sales, and Share Segment by Application/End Users

Chapter 6: Global AI in Agriculture Market Sales, Revenue, Growth Rate Forecast (2021-2026)

Chapter 7: AI in Agriculture Upstream Raw Materials, Price, Key Suppliers, Cost Structure, Manufacturing Expenses, Industrial Chain Analysis

Chapter 8: Marketing Strategy Analysis, Distributors

Chapter 9: Research Findings and Conclusion

Detailed TOC of Global AI in Agriculture Market @

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Market is changing rapidly with the ongoing expansion of the industry. Advancement in the technology has provided today’s businesses with multifaceted advantages resulting in daily economic shifts. Thus, it is very important for a company to comprehend the patterns of the market movements in order to strategize better. An efficient strategy offers the companies with a head start in planning and an edge over the competitors.Industry Research is the credible source for gaining the market reports that will provide you with the lead your business needs.

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