Artificial Intelligence in Agriculture Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 2.08 Billion |
| Market Size (2029) | USD 5.95 Billion |
| CAGR (2024 - 2029) | 23.40 % |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Artificial Intelligence in Agriculture Market Analysis
The Artificial Intelligence In Agriculture Market size is estimated at USD 2.08 billion in 2024, and is expected to reach USD 5.95 billion by 2029, at a CAGR of 23.40% during the forecast period (2024-2029).
- The adoption of artificial intelligence in agriculture is accelerating due to several key factors. These include the increasing global population driving food demand, rapid technological progress, a shift towards data-driven decision-making, and advancements in robotics and drones. Additionally, government initiatives are fuelling this momentum. For instance, in February 2024, the Indian government launched 'Kisan e-Mitra', an AI chatbot designed to assist farmers with inquiries related to the PM Kisan Samman Nidhi scheme. The government noted that the chatbot supports multiple languages and will expand to include additional government initiatives.
- AI-driven agricultural technologies are transforming precision farming by providing customized treatments for crops based on their specific needs. This approach optimizes resource use, reduces chemical inputs, and promotes sustainable practices. By analyzing data on weather, soil, and crop health, AI helps farmers increase yields, reduce waste, and minimize environmental impacts. A notable initiative in 2024, led by Jane’s Weather and supported by Hort Innovation, aims to enhance weather-related information for individual growers, tailored to their unique terrains and operational needs.
- Another significant advantage of AI in agriculture is its ability to automate routine tasks through smart machinery and robotics. Small Robot Company (SRC), a British agriculture robotics startup, deployed its agricultural robots to approximately 50 farms during the 2022-2023 growing season. This innovation addresses labour shortages and allows farmers to focus on strategic planning and management. Such developments are expected to create new opportunities for market players, encouraging them to introduce innovative and practical AI solutions.
Artificial Intelligence in Agriculture Market Trends
Growing Emphasis on Precision Farming
- Precision farming leverages advanced sensors and analytical tools to enhance crop yields and promote sustainable agricultural practices. This method addresses the challenges of traditional farming, such as labor intensity, unpredictable weather, poor yield quality, and resource wastage. Governments worldwide are increasing their investments in precision farming. For example, in September 2024, India's Union Ministry of Agriculture launched the 'Smart Precision Horticulture Programme', investing USD 5 million (INR 6,000 crore) over the next five years. The program focuses on cutting-edge technologies like IoT, AI, drones, and data analytics.
- Globally, the adoption of precision agriculture is rising. According to Japan's Ministry of Agriculture, Forestry and Fisheries, the percentage of farmers using data-driven methods increased from 36.4% in 2020 to 48.6% in 2021. This shift contributed to the growth of Japan's agricultural industry's production value, which rose from USD 80 billion in 2021 to USD 81 billion in 2022, as reported by the Statistics Bureau of Japan.
- Additionally, collaborations among agri-input companies in the precision farming sector are becoming more common, aiming to enhance their solutions and create more efficient systems. In April 2023, AGCO Corporation partnered with Bosch BASF Smart Farming to integrate and commercialize 'Smart Spraying' technology on Fendt Rogator sprayers. This innovative technology optimizes herbicide usage and ensures effective weed control, allowing for targeted spraying at any time. Currently, this technology supports crops such as corn, soy, cotton, canola, sunflower, and sugarbeet. Thus, with increasing government support, a rise in data-driven farming adoption, and continuous innovations, the precision farming segment is set for growth in the coming years.
North America Dominants the Market
- North American countries, particularly the United States and Canada, are increasingly adopting AI technologies in agriculture. These technologies are being utilized for predictive analytics related to weather and crop health, automating equipment for planting and harvesting, and employing intelligent systems for pest and disease management. Furthermore, the development of automated robots is bolstering market growth. In 2022, Nature Fresh, one of North America's largest greenhouse farms, collaborated with Four Growers, a FANUC Authorized System Integrator, to create an AI-equipped robotic system for harvesting tomatoes in greenhouse settings.
- Along with this, government investments are bolstering the integration of AI in agriculture, thereby propelling market growth. In 2023, the United States Department of Agriculture's National Institute of Food and Agriculture (NIFA) announced a USD 70 million investment in sustainable agricultural initiatives. These initiatives aim to meld research, education, and extension efforts, fostering resilient and climate-smart food and agricultural systems, with a particular emphasis on AI applications in food production. Additionally, in 2022, the Minister of Agriculture and Agri-Food allocated over USD 1 million in funding to SomaDetect Inc. and Vivid Machines Inc. via the AgriScience Program, aiming to enhance farm management. Thus, the surge in AI innovations and investments in agriculture in North America is driving regional market growth during the forecast period.
Artificial Intelligence in Agriculture Industry Overview
The AI in the agriculture market is fragmented, as a number of players are supplying the same product at a lower cost, which makes market competition stiff. Also, technological advancements by players and the presence of local and regional players pose a major threat in the price-sensitive market. Key players are Microsoft Corp., IBM Corp. (NITI Aayog), Granular, Inc. aWhere, Inc., and Prospera Technologies Ltd. among others.
Artificial Intelligence in Agriculture Market Leaders
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Microsoft Corporation
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IBM corporation
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Granular, Inc.
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aWhere, Inc.
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Prospera Technologies Ltd.
*Disclaimer: Major Players sorted in no particular order
Artificial Intelligence in Agriculture Market News
- September 2024: Israeli AgTech startup Nanovel unveiled an AI-powered autonomous robot for harvesting tree fruits. This innovation tackles the worldwide issue of labor shortages and rising costs for growers, ultimately boosting productivity.
- July 2024: Optiemus Unmanned Systems (OUS) introduced its new series of domestically designed and manufactured drones for the agricultural and mapping sectors at the 5th Drone International Expo at Pragati Maidan, New Delhi.
- February 2024: Tamil Nadu Agricultural University (TNAU) launched an AI-driven weather forecasting app aimed at reducing crop failures. This app processes weather data to deliver customized advisories directly to farmers.
Agriculture AI Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Rising Demand for Increased Food Productivity
4.2.2 Growing Government Investments
4.2.3 Increasing Product Innovations
4.3 Market Restraints
4.3.1 Lack of Technical Expertise for Data Handling
4.3.2 High Investment and Operational Costs
4.4 Porter's Five Forces Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5. MARKET SEGMENTATION
5.1 Application
5.1.1 Weather Tracking
5.1.2 Precision Farming
5.1.3 Drone Analytics
5.2 Deployment
5.2.1 Cloud
5.2.2 On-premise
5.2.3 Hybrid
5.3 Geography
5.3.1 North America
5.3.1.1 United States
5.3.1.2 Canada
5.3.1.3 Mexico
5.3.1.4 Rest of North America
5.3.2 Europe
5.3.2.1 Germany
5.3.2.2 United Kingdom
5.3.2.3 Italy
5.3.2.4 Spain
5.3.2.5 Rest of Europe
5.3.3 Asia-Pacific
5.3.3.1 China
5.3.3.2 Japan
5.3.3.3 India
5.3.3.4 Australia
5.3.3.5 Rest of Asia-Pacific
5.3.4 South America
5.3.4.1 Brazil
5.3.4.2 Argentina
5.3.4.3 Rest of South America
5.3.5 Africa
5.3.5.1 South Africa
5.3.5.2 Rest of Africa
6. COMPETITIVE LANDSCAPE
6.1 Most Adopted Strategies
6.2 Market Share Analysis
6.3 Company Profiles
6.3.1 Microsoft Corporation
6.3.2 IBM Corporation
6.3.3 Granular, Inc.
6.3.4 aWhere, Inc.
6.3.5 Prospera Technologies Ltd.
6.3.6 Gamaya SA
6.3.7 ec2ce
6.3.8 PrecisionHawk Inc.
6.3.9 Cainthus Corp.
6.3.10 Tule Technologies Inc.
7. MARKET OPPORTUNITIES AND FUTURE TRENDS
Artificial Intelligence in Agriculture Industry Segmentation
Artificial intelligence (AI) in agriculture uses machine learning and technology to enhance farming and food supply. It helps farmers make informed decisions by analyzing data and automating tasks for greater efficiency. The Artificial Intelligence in Agriculture market report has been segmented by application (weather tracking, precision farming, and drone analytics), deployment (cloud, on-premise, and hybrid), and geography (North America, Europe, Asia-Pacific, South America, and Africa). The report offers market sizing and forecasts in terms of Value (USD) for all the above segments.
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| Cloud | |
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| Hybrid |
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Agriculture AI Market Research FAQs
How big is the Artificial Intelligence In Agriculture Market?
The Artificial Intelligence In Agriculture Market size is expected to reach USD 2.08 billion in 2024 and grow at a CAGR of 23.40% to reach USD 5.95 billion by 2029.
What is the current Artificial Intelligence In Agriculture Market size?
In 2024, the Artificial Intelligence In Agriculture Market size is expected to reach USD 2.08 billion.
Who are the key players in Artificial Intelligence In Agriculture Market?
Microsoft Corporation, IBM corporation, Granular, Inc., aWhere, Inc. and Prospera Technologies Ltd. are the major companies operating in the Artificial Intelligence In Agriculture Market.
Which is the fastest growing region in Artificial Intelligence In Agriculture Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Artificial Intelligence In Agriculture Market?
In 2024, the North America accounts for the largest market share in Artificial Intelligence In Agriculture Market.
What years does this Artificial Intelligence In Agriculture Market cover, and what was the market size in 2023?
In 2023, the Artificial Intelligence In Agriculture Market size was estimated at USD 1.59 billion. The report covers the Artificial Intelligence In Agriculture Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Artificial Intelligence In Agriculture Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
AI in Agriculture Industry Report
Statistics for the 2024 AI in Agriculture market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. AI in Agriculture analysis includes a market forecast outlook to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
AI in Agriculture Market Report Snapshots
