AI in Agriculture Market Size USD 11.01 Billion By 2030 With CAGR 22.3%. Global Industry Analysis, Share, Growth, Trends, Regional Outlook and Forecast | Introspective Market Research

Market Overview:

The Global Market for Artificial Intelligence AI in Agriculture Was Estimated at USD 2.20 Billion In the Year 2022, Is Projected to Reach A Revised Size of USD 11.01 Billion By 2030, Growing at A CAGR of 22.3% Over the Forecast Period 2023-2030.

Artificial Intelligence (AI) has emerged as a crucial technology in various sectors, including agriculture. It revolutionizes the industry by improving crop production, real-time monitoring, and optimizing processes from harvesting to marketing. AI aids farmers in achieving healthier crops, pest control, soil monitoring, and workload management. Hi-tech systems, such as Plantix, help detect deficiencies, pests, and diseases in plants, enabling better fertilizer usage. AI sensors and robots detect and target weeds, reducing the need for chemicals while improving crop quality. Weather forecasting and AI-driven robots are also employed to perform multiple farming tasks. AI is transforming agriculture by enhancing efficiency and sustainability throughout the food supply chain.

Top Key Players for AI in Agriculture Market:

• Deere & Company(US)
• IBM Corporation (US)
• Microsoft Corporation (US)
• The Climate Corporation (US)
• Farmers Edge Inc. (Canada)
• Hewlett Packard Enterprise Development LP (US)
• Cisco Systems Inc. (US)
• Google LLC (US)
• Amazon Web Services Inc (US)
• Corteva Inc (US)
• AgEagle Aerial Systems Inc. (US)
• Descartes Labs Inc. (US) and Other Major Players.

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Market Dynamics and Factors:      

The agriculture industry has long faced a labor shortage, but AI and automation offer solutions. Examples include driverless tractors, smart irrigation systems, and AI-based robots for harvesting. These technologies are faster and more accurate than human labor. Factors like aging farmers and a lack of interest in farming among younger generations are driving the trend toward automated farming. This trend is not limited to the developed world, as labor shortages in Asia and the Pacific are also pushing for AI adoption in agriculture.

AI plays a crucial role in helping farmers adapt to climate change by providing insights on optimal planting cycles based on weather conditions. It also enables anonymized data analysis, fostering collaboration and growth. Governments worldwide are supporting the use of AI in agriculture, particularly for small farms, through programs that provide easy loans and technological support. The increasing adoption of AI solutions in agriculture is fueling opportunities in the AI in Agriculture market.

The Report Will Include A Major Chapter

• Patent Analysis
• Regulatory Framework
• Technology Roadmap
• BCG Matrix
• Heat Map Analysis
• Price Trend Analysis
• Investment Analysis

Key Industry Development:

In January 2022, Bayer’s primary digital farming product, Climate FieldView™, aims to facilitate collaboration between farmers and their trusted partners through digital tools and data-driven decision-making. Ongoing collaborations with Precision Planting and the introduction of new FieldView capabilities will bring added benefits to customers, enhancing their user experience.

In February 2021, DroneDeployn teamed up with Corteva Agriscience. This partnership aims to support farmers in making informed management decisions year-round. Corteva manages one of the largest fleets of agricultural drones worldwide, enabling efficient, safe, and sustainable planting and harvesting of crops for farmers.

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AI in Agriculture Market Report Highlight:

• By Type, the solution segment is anticipated to dominate the market over the forecast period. AI solutions in agriculture are advanced technologies that leverage artificial intelligence, machine learning, and data analysis to optimize farming processes. They include crop monitoring, soil assessment, pest detection, and yield prediction. These solutions enhance productivity, sustainability, and profitability in agriculture.
• By Technology, the machine learning segment is anticipated to dominate the market over the forecast period. Machine learning is transforming AI for the agriculture market by utilizing data analysis to optimize crop yield, resource management, and decision-making. Farmers can make data-driven decisions for increased productivity and efficiency. It revolutionizes agriculture by leveraging technology to improve outcomes.
• By Deployment, the on-premise segment is anticipated to dominate the market over the forecast period. On-premise AI in the agriculture market refers to the use of AI technologies directly within agricultural operations. It allows real-time data analysis and decision-making on-site, enhancing efficiency and productivity. Farmers have localized control and reduced reliance on internet connectivity for AI implementation.
• By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period. Precision farming empowers farmers to optimize resource utilization and reduce costs. By collecting and analyzing digital data through automated intelligence, precision farming enables informed decision-making. This approach addresses the increasing demand for higher food quality and greater farm output due to a growing population.

Central to our report are the company profiles and competitive analysis, providing insights into market players’ overview, market role, and operating business segments. We evaluate their financial performance, production volume, sales volume, and sales margin while highlighting recent market developments. Our market research offers invaluable intelligence and strategic insights to drive informed decision-making. By capitalizing on emerging opportunities and understanding the competitive landscape, our report empowers businesses to thrive in the Global AI in Agriculture Market.

AI in Agriculture Market Segmentation:

By Type

• Solution
• Service

By Technology

• Machine Learning
• Computer Vision
• Predictive Analytics

By Deployment

• Cloud
• On-premise
• Hybrid

By Application

• Weather Tracking
• Precision Farming
• Drone Analytics

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Report centrally focuses on in-depth company profiles and competitive analysis, offering valuable insights into market players’ overview, market role, operating business segments, and financial performance. By evaluating crucial metrics like production volume, sales volume, and sales margin, we provide a comprehensive understanding of their market standing. In addition, report highlights recent market developments, keeping you informed about emerging opportunities and competitive dynamics.

For this report, Introspective Market Research has segmented the AI in Agriculture Market based on region:

Regional Outlook (Revenue in USD Million; Volume in Units, 2023-2030)

North America

• US
• Canada
• Mexico

Eastern Europe

• Bulgaria
• The Czech Republic
• Hungary
• Poland
• Romania
• Rest of Eastern Europe

Western Europe

• Germany
• UK
• France
• Netherlands
• Italy
• Russia
• Spain
• Rest of Western Europe

Asia Pacific

• China
• India
• Japan
• South Korea
• Malaysia
• Thailand
• Vietnam
• The Philippines
• Australia
• New Zealand
• Rest of APAC

Middle East & Africa

• Turkey
• Bahrain
• Kuwait
• Saudi Arabia
• Qatar
• UAE
• Israel
• South Africa

South America

• Brazil
• Argentina
• Rest of SA

Scope of the Report:

The latest research on the AI in Agriculture market provides a comprehensive overview of the market for the years 2023 to 2030. It gives a comprehensive picture of the global AI in the Agriculture industry, considering all significant industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter’s five forces analysis, Industry Value chain analysis, and PESTEL analysis of the AI in the Agriculture market. Moreover, the report includes significant chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to understand the market direction and movement in the current and upcoming years. The report is designed to help readers find information and make decisions that will help them grow their businesses. The study is written with a specific goal in mind to give business insights and consultancy to help customers make smart business decisions and achieve long-term success in their particular market areas.

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