Report Highlights
The global market for AI in agriculture is estimated to grow from $2.8 billion in 2025 to reach $8.5 billion by the end of 2030, at a compound annual growth rate (CAGR) of 25.1% from 2025 through 2030.
Report Includes
- 42 data tables and 54 additional tables
- Overview and an analysis of the global market for AI in the agriculture sector
- Analyses of the global market trends, with revenue data for 2024, estimates for 2025, and projections of compound annual growth rates (CAGRs) through 2030
- Estimates of the market’s size and revenue growth prospects, accompanied by a market share analysis by components, technology, application and region
- Facts and figures pertaining to market dynamics, opportunities and deterrents, technological advances, regulations, innovations and standards and the impacts of macroeconomic variables
- Impact analysis of U.S. tariff laws on the industry
- Insights derived from Porter’s Five Forces model, as well as a global supply chain analysis
- Case studies on AI implementation to improve processes and business operations in the sector
- Overview of sustainability trends and ESG developments, with emphasis on consumer attitudes, as well as the ESG risk ratings and practices of leading companies
- Analysis of the industry structure, including companies’ market shares and rankings, strategic initiatives, M&A activity and a venture funding outlook
- Profiles of the leading companies, including Microsoft, IBM Corp., Deere & Co., Syngenta AG and Bayer CropScience
Report Scope
This report presents qualitative and quantitative data on the current market dynamics and trends in the global market for AI in agriculture. The report also assesses recent technological developments and software performance. Analyses of the most popular software, new product approvals and emerging technologies are also included. The market prospects for four regions—North America, Europe, Asia-Pacific, the Middle East and Africa, and South America—are discussed. The report also includes profiles of leading companies and their strategies.
This in-depth analysis of the global AI in agriculture market, emphasizing the major driving forces and emerging technologies shaping this rapidly evolving field, explores how AI transforms agriculture through enhanced technologies, such as drone-based and predictive analytics and crop monitoring. It also examines AI disruption across industry verticals and value chain stages, while presenting market spending patterns, investment forecasts, expenditures of major companies and venture capital funding in AI-driven technologies. The market is divided based on components, applications, technology and region. Based on components, the market is segmented into software, hardware and services. Based on technology, the market is segmented into natural language processing, machine learning, computer vision and predictive analysis. Based on applications, the market is segmented into precision farming, drone analytics, agricultural robots, livestock monitoring and others. For market estimates, data has been provided for 2024 as the base year, with estimates for 2025 and forecasts for 2025 through 2030.
Report Synopsis
| Report Metrics | Details | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Base year considered | 2024 | ||||||||||||||||
| Forecast period considered | 2025-2030 | ||||||||||||||||
| Base year market size | $2.2 Billion | ||||||||||||||||
| Market size forecast | $8.5 Billion | ||||||||||||||||
| Growth rate | CAGR of 25.1% from 2025 to 2030 | ||||||||||||||||
| Units considered | $ Millions | ||||||||||||||||
| Segments covered | By Component, Application, Technology and Region | ||||||||||||||||
| Regions covered | North America, Europe, Asia-Pacific, the Middle East and Africa (MEA), and South America | ||||||||||||||||
| Key Market Drivers |
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| Companies studied |
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Frequently Asked Questions (FAQs)
- AI adoption in agriculture is driven by labor shortages and escalating labor costs.
- Rising adoption of drone-based weed & pest management.
- Infrastructure gaps in developing regions hinder the widespread adoption of AI in agriculture.
- Data-related challenges impacting the scaling of AI in agriculture.
Analyst Credentials
BCC Research Team possesses expertise and experience in life and physical science domains. They specialize in offering valuable business insights, including industry analysis, competitor intelligence, strategic and financial analysis, and opportunity assessment. The team has in-depth knowledge of various sectors, including healthcare, biotechnology, pharmaceuticals, IT, automation, advanced materials, and energy. They are proficient in qualitative and quantitative market intelligence providing clients with actionable insights. With a vast understanding of the competitive landscape, the team can support clients in making data-driven decisions to help them achieve a competitive edge in their respective markets.
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