AI in Agriculture Market Advancing Farm Operations TO Invest US$ 8.97Bn By 2031 | Most Leading Companies - Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC, Deere & Company

AI in Agriculture Market report, published by DataM Intelligence, delivers detailed insights and analysis on major market trends, growth prospects, and emerging challenges. With a strong focus on providing actionable intelligence, DataM Intelligence enables businesses to make well-informed decisions and maintain a competitive edge. By blending both qualitative and quantitative research approaches, the company offers thorough reports that support clients in navigating complex market environments, driving strategic expansion, and capitalizing on new opportunities in today's rapidly evolving global landscape.

Global AI in Agriculture Market reached US$ 1.7 billion in 2023 and is expected to reach US$ 8.97 billion by 2031, growing with a CAGR of 23.1% during the forecast period 2024-2031.

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Market opportunities and Growth Drivers

✦ Rapid Tech Advancements Driving Smart Farming Solutions

✦ Strong Government and Industry Backing Boosting AI Adoption

✦ High Upfront Costs Hindering Widespread Implementation

✦ Growing Need for Advanced Data-Driven Agri Tools

✦ Asia-Pacific Leads with Tech Adoption and Agri Support Programs

AI in Agriculture Market Recent Development:

In September 2024, Niqo Robotics, a pioneer in AI-powered agricultural technology, made its entry into North America by launching the Niqo RoboThinner a spot-sprayer that automates lettuce thinning. This cutting-edge solution enhances crop uniformity by providing farmers with highly accurate and efficient thinning capabilities.

In July 2024, Taranis, a global leader in crop intelligence, introduced the Ag Assistant, an AI-powered tool developed for agriculture retailers and producers. The assistant synthesizes data from images, audio, and text, delivering advanced agronomic insights. This marks a major advancement in the adoption of AI in agricultural decision-making.

Also in July 2024, Cropin Technology, headquartered in India, launched Sage, the world's first real-time agri-intelligence platform powered by Google Gemini. Sage converts global agricultural data into a grid-based map, offering insights at granular levels from 3x3 meters to 5x5 kilometers-enabling stakeholders to make informed decisions on climate, cultivation, and supply chains.

List of the Key Players in the AI in Agriculture Market:

Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC, Deere & Company, Cropin Technology Solutions Private Limited, Bayer AG, KissanAI, and Niqo Robotics.

Research Process:

Both primary and secondary data sources have been used in the global AI in Agriculture Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

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Segment Covered in the AI in Agriculture Market:

By Deployment: Cloud, On-Premise

By Technology: Machine Learning, Predictive Analytics, Computer Vision, Others

By Offering: Software, Hardware, Service

By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others

By Farm Size: Small (Less Than 5 Hectare), Medium (5 -10 Hectare), Large (Above 10 Hectare)

By End-User: Farmers, Agribusinesses, Others

Regional Analysis for AI in Agriculture Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

People Also Ask:

Most Frequently Asked Questions in the AI in Agriculture Market Research Industry:

➠ What are the global figures for sales, production, consumption, imports, and exports in the AI in Agriculture market?

➠ Who are the top manufacturers in the global AI in Agriculture industry, and what is their current status in terms of production capacity, output, sales performance, pricing structure, cost analysis, profit margins, and overall revenue?

➠ What key opportunities are available for vendors in the AI in Agriculture market, and what challenges are they likely to encounter?

➠ Which application areas, end-user segments, or product types are projected to experience significant growth, and how is the market share distributed among them?

➠ What are the major drivers and barriers influencing the growth trajectory of the AI in Agriculture market?

➠ What are the primary sales, marketing, and distribution strategies used across the global AI in Agriculture industry landscape?

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