AI in Agriculture Market Size, Share, and Outlook, 2025 Report- By Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others), By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Ha

AI in Agriculture Market Outlook
The AI in Agriculture Market size is expected to register a growth rate of 21.4% during the forecast period from $2.63 Billion in 2025 to $10.2 Billion in 2032. The AI in Agriculture market is a thriving business that is poised to keep growing and presents potential growth opportunities for companies across the industry value chain.
The comprehensive market research report presents 12-year historic and forecast data on AI in Agriculture segments across 22 countries from 2021 to 2032. Key segments in the report include By Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others), By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Hardware, Software, AI-As-A-Service). Over 70 tables and charts showcase findings from our latest survey report on AI in Agriculture markets.

AI in Agriculture Market Insights, 2025
The global AI in agriculture market is growing rapidly as farmers adopt machine learning, computer vision, and predictive analytics to optimize yields and reduce costs. Companies like John Deere, IBM Watson, and Blue River Technology are leading advancements in AI-driven precision farming, offering solutions for automated pest detection, soil health monitoring, and autonomous equipment. AI-powered drones and satellite imagery are enhancing crop surveillance, allowing for early disease detection and water management. The integration of AI with IoT sensors is enabling real-time analysis of soil moisture, weather conditions, and nutrient levels, improving decision-making in precision irrigation and fertilization.

Five Trends that will define global AI in Agriculture market in 2025 and Beyond
A closer look at the multi-million market for AI in Agriculture identifies rapidly shifting consumer preferences across categories. By focusing on growth and resilience, leading AI in Agriculture companies are prioritizing their investments across categories, markets, and geographies. The report analyses the most important market trends shaping the new landscape to support better decisions for the long and short-term future. The impact of tariffs by the US administration also significantly impact the profitability of AI in Agriculture vendors.

What are the biggest opportunities for growth in the AI in Agriculture industry?
The AI in Agriculture sector demonstrated remarkable resilience over the past year across developed and developing economies. Further, the market presents significant opportunities to leverage the existing momentum towards actions by 2032. On the other hand, recent macroeconomic developments including rising inflation and supply chain disruptions are putting pressure on companies. The chapter assists users to identify growth avenues and address business challenges to make informed commercial decisions with unique insights, data forecasts, and in-depth market analyses.

AI in Agriculture Market Segment Insights
The AI in Agriculture industry presents strong offers across categories. The analytical report offers forecasts of AI in Agriculture industry performance across segments and countries. Key segments in the industry include- By Application (Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others), By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Offering (Hardware, Software, AI-As-A-Service). The largest types, applications, and sales channels, fastest growing segments, and the key factors driving each of the categories are included in the report.
Forecasts of each segment across five regions are provided from 2021 through 2032 for Asia Pacific, North America, Europe, South America, Middle East, and African regions. In addition, AI in Agriculture market size outlook is provided for 22 countries across these regions.

Market Value Chain
The chapter identifies potential companies and their operations across the global AI in Agriculture industry ecosystem. It assists decision-makers in evaluating global AI in Agriculture market fundamentals, market dynamics, and disruptive trends across the value chain segments.

Scenario Analysis and Forecasts
Strategic decision-making in the AI in Agriculture industry is multi-faceted with the increased need for planning across scenarios. The report provides forecasts across three case scenarios- low growth, reference case, and high growth cases.

Asia Pacific AI in Agriculture Market Analysis- A Promising Growth Arena for Business Expansion
As companies increasingly expand across promising Asia Pacific markets with over 4.5 billion population, the medium-to-long-term future remains robust. The presence of the fastest-growing economies such as China, India, Thailand, Indonesia, and Vietnam coupled with strengthening middle-class populations and rising disposable incomes drive the market. In particular, China and India are witnessing rapid shifts in consumer purchasing behavior. China is recovering steadily with optimistic forecasts for 2025. Further, Japanese and South Korean markets remain stable with most companies focusing on new product launches and diversification of sales channels.

The State of Europe AI in Agriculture Industry 2025- Focus on Accelerating Competitiveness
As companies opt for an integrated agenda for competitiveness, the year 2025 presents optimistic scenarios for companies across the ecosystem. With signs of economic recovery across markets, companies are increasing their investments. Europe is one of the largest markets for AI in Agriculture with demand from both Western Europe and Eastern European regions increasing over the medium to long-term future. Increasing omnichannel shopping amidst robust consumer demand for value purchases shapes the market outlook. The report analyses the key AI in Agriculture market drivers and opportunities across Germany, France, the United Kingdom, Spain, Italy, Russia, and other Europe.

The US AI in Agriculture market Insights- Vendors are exploring new opportunities within the US AI in Agriculture industry.
Easing inflation coupled with strengthening consumer sentiment is encouraging aggressive actions from the US AI in Agriculture companies. Market players consistently focusing on innovation and pursuing new ways to create value are set to excel in 2025. In addition, the Canadian and Mexican markets offer lucrative growth pockets for manufacturers and vendors. Focus on private-brand offerings and promotions, diversified sales channels, expansion into niche segments, adoption of advanced technologies, and sustainability are widely observed across the North American AI in Agriculture market.

Latin American AI in Agriculture market outlook rebounds in line with economic growth.
Underlying demand remains higher among urban consumers with an optimistic economic outlook across Brazil, Argentina, Chile, and other South and Central American countries. Increased consumer spending has been reported in Q1 -2025 and the prospects remain strong for rest of 2025. Aggressive ecosystem moves to create new sources of income are widely observed across markets in the region. Marketing activities focused on customer insights, operations, and support functions are quickly gaining business growth in the region.

Middle East and Africa AI in Agriculture Markets- New Opportunities for Companies Harnessing Diversity
Rapid growth in burgeoning urban locations coupled with a young and fast-growing population base is attracting new investments in the Middle East and African AI in Agriculture markets. Designing expansion and marketing strategies to cater to the local consumer base supports the market prospects. In addition to Nigeria, Algeria, South Africa, and other markets, steady growth markets in Ethiopia, Rwanda, Ghana, Tanzania, the Democratic Republic of Congo, and others present significant prospects for companies. On the other hand, Middle Eastern AI in Agriculture markets including the UAE, Saudi Arabia, Qatar, and Oman continue to offer lucrative pockets of growth.

Competitive Landscape- How AI in Agriculture companies outcompete in 2025?
The ability to respond quickly to evolving consumer preferences and adapt businesses to niche consumer segments remains a key growth factor. The report identifies the leading companies in the industry and provides their revenue for 2024. The market shares of each company are also included in the report. Further, business profiles, SWOT analysis, and financial analysis of each company are provided in detail. Key companies analyzed in the report include Agribotix, Google, IBM, Intel, John Deere Company, Microsoft, Numenta Inc, NVIDIA Corp, Sentient Technologies, The Climate Corp.

AI in Agriculture Market Segmentation

By Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others

By Technology
Machine Learning
Computer Vision
Predictive Analytics

By Offering
Hardware
Software
AI-As-A-Service

Leading Companies
Agribotix
Google
IBM
Intel
John Deere Company
Microsoft
Numenta Inc
NVIDIA Corp
Sentient Technologies
The Climate Corp

Reasons to Buy the report

• Make informed decisions through long and short-term forecasts across 22 countries and segments.
• Evaluate market fundamentals, dynamics, and disrupting trends set to shape 2025 and beyond.
• Gain a clear understanding of the competitive landscape, with product portfolio and growth strategies.
• Get an integrated understanding of the entire market ecosystem and companies.
• Stay ahead of the competition through plans for growth in a changing environment for your geographic expansion.
• Assess the impact of advanced technologies and identify growth opportunities based on actionable data and insights.
• Get free Excel spreadsheet and PPT versions along with the report PDF.