The global market for Artificial Intelligence (AI) in Agriculture was valued at US$ 782 million in the year 2024 and is projected to reach a revised size of US$ 2233 million by 2031, growing at a CAGR of 16.4% during the forecast period.
This report studies the Artificial Intelligence (AI) in Agriculture market, from angles of players, regions, product types and end industries, to analyze the status and the future.
Artificial Intelligence (AI) in Agriculture 麻豆原创 size is being driven by the growing adoption of the robots in agriculture. Increasing consumption and rising requirement of better yield of crops are estimated to be one of the major factors that is fueling the demand of robots in agriculture. Increasing consumption motivates farmers to scale up farming operations and give rise to the requirement of automating farming operations. As the farmers are shifting more towards automation, drones and robots have become integral part of agriculture farms and are enhancing yield and improving the product quality. Since AI is the backbone of robotics, increasing adoption of robots in agriculture is estimated to drive the AI in agriculture market growth.
Artificial Intelligence (AI) in Agriculture is mainly used for three applications: Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others. And Precision Farming was the most widely used area which took up about 35% of the global total.
United States is the largest consumption countries of Artificial Intelligence (AI) in Agriculture. North America market took up about 45% the global market, while Europe was about 24%.
IBM, Granular, John Deere, The Climate Corporation and Vision Robotics are the key suppliers in the global Artificial Intelligence (AI) in Agriculture market. Top 5 took up about 46% of the global market.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Agriculture, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Agriculture.
The Artificial Intelligence (AI) in Agriculture market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Artificial Intelligence (AI) in Agriculture market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence (AI) in Agriculture companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
Segment by Type
Machine Learning
Computer Vision
Predictive Analytics
Segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Agriculture company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Precision Farming
1.3.3 Livestock Monitoring
1.3.4 Drone Analytics
1.3.5 Agriculture Robots
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Perspective (2020-2031)
2.2 Global Artificial Intelligence (AI) in Agriculture Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Artificial Intelligence (AI) in Agriculture Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Artificial Intelligence (AI) in Agriculture Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Artificial Intelligence (AI) in Agriculture 麻豆原创 Dynamics
2.3.1 Artificial Intelligence (AI) in Agriculture Industry Trends
2.3.2 Artificial Intelligence (AI) in Agriculture 麻豆原创 Drivers
2.3.3 Artificial Intelligence (AI) in Agriculture 麻豆原创 Challenges
2.3.4 Artificial Intelligence (AI) in Agriculture 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Agriculture Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Agriculture Players by Revenue (2020-2025)
3.1.2 Global Artificial Intelligence (AI) in Agriculture Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Artificial Intelligence (AI) in Agriculture Revenue
3.4 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Agriculture 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Agriculture Revenue in 2024
3.5 Global Key Players of Artificial Intelligence (AI) in Agriculture Head office and Area Served
3.6 Global Key Players of Artificial Intelligence (AI) in Agriculture, Product and Application
3.7 Global Key Players of Artificial Intelligence (AI) in Agriculture, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Agriculture Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Agriculture Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Artificial Intelligence (AI) in Agriculture Forecasted 麻豆原创 Size by Type (2026-2031)
5 Artificial Intelligence (AI) in Agriculture Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Agriculture Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Artificial Intelligence (AI) in Agriculture Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size (2020-2031)
6.2 North America Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2020-2025)
6.4 North America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Agriculture 麻豆原创 Size (2020-2031)
7.2 Europe Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2020-2025)
7.4 Europe Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Agriculture 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size (2020-2031)
9.2 Latin America Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Agriculture 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Artificial Intelligence (AI) in Agriculture 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Artificial Intelligence (AI) in Agriculture 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Artificial Intelligence (AI) in Agriculture Introduction
11.1.4 IBM Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.1.5 IBM Recent Development
11.2 Intel
11.2.1 Intel Company Details
11.2.2 Intel Business Overview
11.2.3 Intel Artificial Intelligence (AI) in Agriculture Introduction
11.2.4 Intel Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.2.5 Intel Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Artificial Intelligence (AI) in Agriculture Introduction
11.3.4 Microsoft Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.3.5 Microsoft Recent Development
11.4 SAP
11.4.1 SAP Company Details
11.4.2 SAP Business Overview
11.4.3 SAP Artificial Intelligence (AI) in Agriculture Introduction
11.4.4 SAP Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.4.5 SAP Recent Development
11.5 Agribotix
11.5.1 Agribotix Company Details
11.5.2 Agribotix Business Overview
11.5.3 Agribotix Artificial Intelligence (AI) in Agriculture Introduction
11.5.4 Agribotix Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.5.5 Agribotix Recent Development
11.6 The Climate Corporation
11.6.1 The Climate Corporation Company Details
11.6.2 The Climate Corporation Business Overview
11.6.3 The Climate Corporation Artificial Intelligence (AI) in Agriculture Introduction
11.6.4 The Climate Corporation Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.6.5 The Climate Corporation Recent Development
11.7 Mavrx
11.7.1 Mavrx Company Details
11.7.2 Mavrx Business Overview
11.7.3 Mavrx Artificial Intelligence (AI) in Agriculture Introduction
11.7.4 Mavrx Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.7.5 Mavrx Recent Development
11.8 aWhere
11.8.1 aWhere Company Details
11.8.2 aWhere Business Overview
11.8.3 aWhere Artificial Intelligence (AI) in Agriculture Introduction
11.8.4 aWhere Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.8.5 aWhere Recent Development
11.9 Precision Hawk
11.9.1 Precision Hawk Company Details
11.9.2 Precision Hawk Business Overview
11.9.3 Precision Hawk Artificial Intelligence (AI) in Agriculture Introduction
11.9.4 Precision Hawk Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.9.5 Precision Hawk Recent Development
11.10 Granular
11.10.1 Granular Company Details
11.10.2 Granular Business Overview
11.10.3 Granular Artificial Intelligence (AI) in Agriculture Introduction
11.10.4 Granular Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.10.5 Granular Recent Development
11.11 Prospera Technologies
11.11.1 Prospera Technologies Company Details
11.11.2 Prospera Technologies Business Overview
11.11.3 Prospera Technologies Artificial Intelligence (AI) in Agriculture Introduction
11.11.4 Prospera Technologies Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.11.5 Prospera Technologies Recent Development
11.12 Spensa Technologies
11.12.1 Spensa Technologies Company Details
11.12.2 Spensa Technologies Business Overview
11.12.3 Spensa Technologies Artificial Intelligence (AI) in Agriculture Introduction
11.12.4 Spensa Technologies Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.12.5 Spensa Technologies Recent Development
11.13 Resson
11.13.1 Resson Company Details
11.13.2 Resson Business Overview
11.13.3 Resson Artificial Intelligence (AI) in Agriculture Introduction
11.13.4 Resson Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.13.5 Resson Recent Development
11.14 Vision Robotics
11.14.1 Vision Robotics Company Details
11.14.2 Vision Robotics Business Overview
11.14.3 Vision Robotics Artificial Intelligence (AI) in Agriculture Introduction
11.14.4 Vision Robotics Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.14.5 Vision Robotics Recent Development
11.15 Harvest Croo Robotics
11.15.1 Harvest Croo Robotics Company Details
11.15.2 Harvest Croo Robotics Business Overview
11.15.3 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Introduction
11.15.4 Harvest Croo Robotics Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.15.5 Harvest Croo Robotics Recent Development
11.16 CropX
11.16.1 CropX Company Details
11.16.2 CropX Business Overview
11.16.3 CropX Artificial Intelligence (AI) in Agriculture Introduction
11.16.4 CropX Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.16.5 CropX Recent Development
11.17 John Deere
11.17.1 John Deere Company Details
11.17.2 John Deere Business Overview
11.17.3 John Deere Artificial Intelligence (AI) in Agriculture Introduction
11.17.4 John Deere Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.17.5 John Deere Recent Development
11.18 Gamaya
11.18.1 Gamaya Company Details
11.18.2 Gamaya Business Overview
11.18.3 Gamaya Artificial Intelligence (AI) in Agriculture Introduction
11.18.4 Gamaya Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.18.5 Gamaya Recent Development
11.19 Cainthus
11.19.1 Cainthus Company Details
11.19.2 Cainthus Business Overview
11.19.3 Cainthus Artificial Intelligence (AI) in Agriculture Introduction
11.19.4 Cainthus Revenue in Artificial Intelligence (AI) in Agriculture Business (2020-2025)
11.19.5 Cainthus Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
IBM
Intel
Microsoft
SAP
Agribotix
The Climate Corporation
Mavrx
aWhere
Precision Hawk
Granular
Prospera Technologies
Spensa Technologies
Resson
Vision Robotics
Harvest Croo Robotics
CropX
John Deere
Gamaya
Cainthus
听
听
*If Applicable.
