AI in Agriculture Market Size | Share : Projected Surge at 12.8% CAGR by 2030 | Trimble, John Deere, Granular

NEW YORK, (UNITED STATES) - QY Research announces the release of 2025 latest report "AI in Agriculture Market". Based on current situation and impact historical analysis (2020-2024) and forecast calculations (2025-2031), this report provides a comprehensive analysis of the global AI in Agriculture market, including market size, share, demand, industry development status, and forecasts for the next few years.

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The global AI in Agriculture market was valued at US$ 780 million in 2023 and is anticipated to reach US$ 1791 million by 2030, witnessing a CAGR of 12.8% during the forecast period 2024-2030.

AI in Agriculture Market Overview -

Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.

Artificial Intelligence in agriculture refers to the application of machine learning, computer vision, robotics, and data analytics to enhance farming operations. These advanced technologies enable farmers to make informed decisions, optimize resource use, improve crop yields, and reduce environmental impacts.

Solutions like autonomous tractors, drone-based crop health monitoring, soil analysis, and AI-powered irrigation systems are revolutionizing how food is grown, managed, and harvested globally.

China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China"s core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China"s data center is less than 1/37 of that of the United States.

Key Drivers of the AI in Agriculture Market

Several key factors are driving the growth of the AI in Agriculture Market:

Growing Demand for Food Security: With the global population expected to reach 9.7 billion by 2050, the need for increased food production is critical. AI helps maximize crop yields and minimize losses, addressing the challenge of food security.

Labor Shortages: Many regions are experiencing agricultural labor shortages. AI-powered automation offers an effective solution by handling repetitive tasks like planting, spraying, and harvesting.

Climate Change and Sustainability: Farmers are under pressure to adopt eco-friendly practices. AI provides real-time insights into soil health, weather patterns, and pest outbreaks, enabling sustainable farming.

Government Support: Many governments are promoting the adoption of smart agriculture through subsidies, research funding, and technology development programs.

Technological Advancements: Innovations in big data analytics, satellite imaging, and the Internet of Things (IoT) are enhancing the capabilities of AI solutions, making them more accessible and affordable for farmers.

Global AI in Agriculture Market Trends:-

AI in Agriculture The pre- and post-period regulatory situation plays an important role in shaping market dynamics. As governments introduce and refine regulations governing the production, distribution, and sale of AI in Agriculture products, businesses must navigate complex compliance requirements to ensure lawful operations. Regulatory clarity and consistency are key factors that positively impact markets, providing certainty for businesses and giving people confidence in product safety and quality standards. Additionally, regulatory developments such as the approval of AI in Agriculture chemical and material products and the establishment AI in Agriculture of cultivation programs are opening up new opportunities for market expansion while setting standards for best practices in the industry.

Highlights the following key factors: -

Business description - An in-depth description of the businesses and the divisions of the company.

Corporate strategy - Business strategy of the company as summarized by analysts.

SWOT Analysis - An in-depth analysis of the company's advantages, disadvantages, strengths, and threats.

Company history - progression of significant company-related events.

Major products and services - A list of the company's major products, services, and brands.

Key competitors - A list of the primary competitors of the company.

Important locations and subsidiaries - A list of the company's key locations and subsidiaries, along with contact details.

Regional Insights and Growth Opportunities :-

The AI in Agriculture Market provides a diverse geographical landscape, with several areas exhibiting unique market characteristics. While some locations see rapid growth due to factors like economic expansion and technical advancements, other regions may experience slower but more consistent market expansion. Market trends vary greatly throughout regions due to factors including cultural influences, legal frameworks, and population developments. Businesses looking to go global must understand these regional differences and adjust their strategy to take advantage of local opportunities.

The primary research and secondary research of the analysis is the competitive landscape that exists between the top players present in the industry. An inventory of the actions the businesses have done in the previous years is included in the report. Growth statistics for the regional markets have been included in the research, along with a list of the key countries driving regional growth, including North America, Europe, China, Japan, Southeast Asia, and India.

North America: Market size, growth drivers, and key players.

Europe: Regulatory environment and sustainability initiatives.

Asia-Pacific: Rapid industrialization and demand growth.

Latin America: Emerging markets and opportunities.

Middle East & Africa: Focus on petrochemicals and infrastructure development.

Emerging markets such as Southeast Asia, Eastern Europe, and Africa are identified as high-growth regions, driven by rapid industrialization and urbanization.

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Detailed of AI in Agriculture Market Segmentation:-

Segment by Type:

Machine Learning
Computer Vision
Predictive Analytics

Segment by Application

Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others

Top Market Leader Included: -

Ag Leader Technology
Trimble
John Deere
Iteris
AGCO
aWhere
Gamaya
Granular
Raven Industries
Prospera
Skysquirrel Technologies

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This release was published on openPR.