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.
The global market for Artificial Intelligence in Agriculture was estimated to be worth US$ 578.7 million in 2023 and is forecast to a readjusted size of US$ 729.8 million by 2030 with a CAGR of 3.3% during the forecast period 2024-2030
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 楼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 1/78 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Agriculture, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Agriculture by region & country, by Type, and by Application.
The Artificial Intelligence in Agriculture market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 in Agriculture.
麻豆原创 Segmentation
By Company
IBM
John Deere
Microsoft
Agribotix
The Climate Corporation
ec2ce
Descartes Labs
Sky Squirrel Technologies
Mavrx
aWhere
Gamaya
Precision Hawk
Granular
Prospera
Cainthus
Spensa Technologies
Resson
FarmBot
Connecterra
Vision Robotics
Harvest Croo
Autonomous Tractor Corporation
Trace Genomics
Vine Rangers
Segment by Type:
Machine Learning
Computer Vision
Segment by Application
Precision Farming
Drone Analytics
Agriculture Robots
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Agriculture manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence in Agriculture in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Agriculture in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 麻豆原创 Overview
1.1 Artificial Intelligence in Agriculture Product Introduction
1.2 Global Artificial Intelligence in Agriculture 麻豆原创 Size Forecast
1.3 Artificial Intelligence in Agriculture 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence in Agriculture Industry Trends
1.3.2 Artificial Intelligence in Agriculture 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence in Agriculture 麻豆原创 Challenges
1.3.4 Artificial Intelligence in Agriculture 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Agriculture Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Agriculture Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Agriculture Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Agriculture Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Agriculture
2.6 Artificial Intelligence in Agriculture 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence in Agriculture 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Agriculture Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Agriculture as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning
3.1.2 Computer Vision
3.2 Global Artificial Intelligence in Agriculture Sales Value by Type
3.2.1 Global Artificial Intelligence in Agriculture Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Agriculture Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Agriculture Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Precision Farming
4.1.2 Drone Analytics
4.1.3 Agriculture Robots
4.2 Global Artificial Intelligence in Agriculture Sales Value by Application
4.2.1 Global Artificial Intelligence in Agriculture Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Agriculture Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Agriculture Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Agriculture Sales Value by Region
5.1.1 Global Artificial Intelligence in Agriculture Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Agriculture Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Agriculture Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Agriculture Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Agriculture Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Agriculture Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Agriculture Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Agriculture Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Agriculture Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Agriculture Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Agriculture Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Agriculture Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Agriculture Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Agriculture Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Agriculture Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Agriculture Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Agriculture Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Agriculture Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Agriculture Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Artificial Intelligence in Agriculture Products, Services and Solutions
7.1.4 IBM Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 John Deere
7.2.1 John Deere Profile
7.2.2 John Deere Main Business
7.2.3 John Deere Artificial Intelligence in Agriculture Products, Services and Solutions
7.2.4 John Deere Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.2.5 John Deere Recent Developments
7.3 Microsoft
7.3.1 Microsoft Profile
7.3.2 Microsoft Main Business
7.3.3 Microsoft Artificial Intelligence in Agriculture Products, Services and Solutions
7.3.4 Microsoft Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.3.5 Agribotix Recent Developments
7.4 Agribotix
7.4.1 Agribotix Profile
7.4.2 Agribotix Main Business
7.4.3 Agribotix Artificial Intelligence in Agriculture Products, Services and Solutions
7.4.4 Agribotix Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.4.5 Agribotix Recent Developments
7.5 The Climate Corporation
7.5.1 The Climate Corporation Profile
7.5.2 The Climate Corporation Main Business
7.5.3 The Climate Corporation Artificial Intelligence in Agriculture Products, Services and Solutions
7.5.4 The Climate Corporation Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.5.5 The Climate Corporation Recent Developments
7.6 ec2ce
7.6.1 ec2ce Profile
7.6.2 ec2ce Main Business
7.6.3 ec2ce Artificial Intelligence in Agriculture Products, Services and Solutions
7.6.4 ec2ce Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.6.5 ec2ce Recent Developments
7.7 Descartes Labs
7.7.1 Descartes Labs Profile
7.7.2 Descartes Labs Main Business
7.7.3 Descartes Labs Artificial Intelligence in Agriculture Products, Services and Solutions
7.7.4 Descartes Labs Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.7.5 Descartes Labs Recent Developments
7.8 Sky Squirrel Technologies
7.8.1 Sky Squirrel Technologies Profile
7.8.2 Sky Squirrel Technologies Main Business
7.8.3 Sky Squirrel Technologies Artificial Intelligence in Agriculture Products, Services and Solutions
7.8.4 Sky Squirrel Technologies Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.8.5 Sky Squirrel Technologies Recent Developments
7.9 Mavrx
7.9.1 Mavrx Profile
7.9.2 Mavrx Main Business
7.9.3 Mavrx Artificial Intelligence in Agriculture Products, Services and Solutions
7.9.4 Mavrx Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.9.5 Mavrx Recent Developments
7.10 aWhere
7.10.1 aWhere Profile
7.10.2 aWhere Main Business
7.10.3 aWhere Artificial Intelligence in Agriculture Products, Services and Solutions
7.10.4 aWhere Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.10.5 aWhere Recent Developments
7.11 Gamaya
7.11.1 Gamaya Profile
7.11.2 Gamaya Main Business
7.11.3 Gamaya Artificial Intelligence in Agriculture Products, Services and Solutions
7.11.4 Gamaya Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.11.5 Gamaya Recent Developments
7.12 Precision Hawk
7.12.1 Precision Hawk Profile
7.12.2 Precision Hawk Main Business
7.12.3 Precision Hawk Artificial Intelligence in Agriculture Products, Services and Solutions
7.12.4 Precision Hawk Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.12.5 Precision Hawk Recent Developments
7.13 Granular
7.13.1 Granular Profile
7.13.2 Granular Main Business
7.13.3 Granular Artificial Intelligence in Agriculture Products, Services and Solutions
7.13.4 Granular Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.13.5 Granular Recent Developments
7.14 Prospera
7.14.1 Prospera Profile
7.14.2 Prospera Main Business
7.14.3 Prospera Artificial Intelligence in Agriculture Products, Services and Solutions
7.14.4 Prospera Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.14.5 Prospera Recent Developments
7.15 Cainthus
7.15.1 Cainthus Profile
7.15.2 Cainthus Main Business
7.15.3 Cainthus Artificial Intelligence in Agriculture Products, Services and Solutions
7.15.4 Cainthus Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.15.5 Cainthus Recent Developments
7.16 Spensa Technologies
7.16.1 Spensa Technologies Profile
7.16.2 Spensa Technologies Main Business
7.16.3 Spensa Technologies Artificial Intelligence in Agriculture Products, Services and Solutions
7.16.4 Spensa Technologies Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.16.5 Spensa Technologies Recent Developments
7.17 Resson
7.17.1 Resson Profile
7.17.2 Resson Main Business
7.17.3 Resson Artificial Intelligence in Agriculture Products, Services and Solutions
7.17.4 Resson Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.17.5 Resson Recent Developments
7.18 FarmBot
7.18.1 FarmBot Profile
7.18.2 FarmBot Main Business
7.18.3 FarmBot Artificial Intelligence in Agriculture Products, Services and Solutions
7.18.4 FarmBot Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.18.5 FarmBot Recent Developments
7.19 Connecterra
7.19.1 Connecterra Profile
7.19.2 Connecterra Main Business
7.19.3 Connecterra Artificial Intelligence in Agriculture Products, Services and Solutions
7.19.4 Connecterra Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.19.5 Connecterra Recent Developments
7.20 Vision Robotics
7.20.1 Vision Robotics Profile
7.20.2 Vision Robotics Main Business
7.20.3 Vision Robotics Artificial Intelligence in Agriculture Products, Services and Solutions
7.20.4 Vision Robotics Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.20.5 Vision Robotics Recent Developments
7.21 Harvest Croo
7.21.1 Harvest Croo Profile
7.21.2 Harvest Croo Main Business
7.21.3 Harvest Croo Artificial Intelligence in Agriculture Products, Services and Solutions
7.21.4 Harvest Croo Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.21.5 Harvest Croo Recent Developments
7.22 Autonomous Tractor Corporation
7.22.1 Autonomous Tractor Corporation Profile
7.22.2 Autonomous Tractor Corporation Main Business
7.22.3 Autonomous Tractor Corporation Artificial Intelligence in Agriculture Products, Services and Solutions
7.22.4 Autonomous Tractor Corporation Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.22.5 Autonomous Tractor Corporation Recent Developments
7.23 Trace Genomics
7.23.1 Trace Genomics Profile
7.23.2 Trace Genomics Main Business
7.23.3 Trace Genomics Artificial Intelligence in Agriculture Products, Services and Solutions
7.23.4 Trace Genomics Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.23.5 Trace Genomics Recent Developments
7.24 Vine Rangers
7.24.1 Vine Rangers Profile
7.24.2 Vine Rangers Main Business
7.24.3 Vine Rangers Artificial Intelligence in Agriculture Products, Services and Solutions
7.24.4 Vine Rangers Artificial Intelligence in Agriculture Revenue (US$ Million) & (2019-2024)
7.24.5 Vine Rangers Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Agriculture Industrial Chain
8.2 Artificial Intelligence in Agriculture Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Agriculture Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Agriculture Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
IBM
John Deere
Microsoft
Agribotix
The Climate Corporation
ec2ce
Descartes Labs
Sky Squirrel Technologies
Mavrx
aWhere
Gamaya
Precision Hawk
Granular
Prospera
Cainthus
Spensa Technologies
Resson
FarmBot
Connecterra
Vision Robotics
Harvest Croo
Autonomous Tractor Corporation
Trace Genomics
Vine Rangers
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听
*If Applicable.
