Summary

Summary
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 Market 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.

According to APO Research, The global Artificial Intelligence (AI) in Agriculture market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.

The US & Canada market for Artificial Intelligence (AI) in Agriculture is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.

Asia-Pacific market for Artificial Intelligence (AI) in Agriculture is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.

The China market for Artificial Intelligence (AI) in Agriculture is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.

Europe market for Artificial Intelligence (AI) in Agriculture is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.

The major global companies of Artificial Intelligence (AI) in Agriculture include IBM, Intel, Microsoft, SAP, Agribotix, The Climate Corporation, Mavrx, aWhere and Precision Hawk, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

Report Includes
This report presents an overview of global market for Artificial Intelligence (AI) in Agriculture, market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.

This report researches the key producers of Artificial Intelligence (AI) in Agriculture, also provides the revenue of main regions and countries. Of the upcoming market potential for Artificial Intelligence (AI) in Agriculture, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Artificial Intelligence (AI) in Agriculture revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial Intelligence (AI) in Agriculture market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial Intelligence (AI) in Agriculture revenue, projected growth trends, production technology, application and end-user industry.

Artificial Intelligence (AI) in Agriculture segment 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

Artificial Intelligence (AI) in Agriculture segment by Type
Machine Learning
Computer Vision
Predictive Analytics

Artificial Intelligence (AI) in Agriculture segment by Application
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others

Artificial Intelligence (AI) in Agriculture segment by Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE

Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence (AI) in Agriculture market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence (AI) in Agriculture and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence (AI) in Agriculture.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.

Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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 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 3: Revenue of Artificial Intelligence (AI) in Agriculture in global and regional level. 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 4: Detailed analysis of Artificial Intelligence (AI) in Agriculture company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Agriculture revenue, gross margin, and recent development, etc.
Chapter 8: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: Middle East, Africa, and Latin America type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.

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Table of Contents

1 Market Overview
1.1 Product Definition
1.2 Artificial Intelligence (AI) in Agriculture Market by Type
1.2.1 Global Artificial Intelligence (AI) in Agriculture Market Size by Type, 2019 VS 2023 VS 2030
1.2.2 Machine Learning
1.2.3 Computer Vision
1.2.4 Predictive Analytics
1.3 Artificial Intelligence (AI) in Agriculture Market by Application
1.3.1 Global Artificial Intelligence (AI) in Agriculture Market Size by Application, 2019 VS 2023 VS 2030
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 Goals and Objectives

2 Artificial Intelligence (AI) in Agriculture Market Dynamics
2.1 Artificial Intelligence (AI) in Agriculture Industry Trends
2.2 Artificial Intelligence (AI) in Agriculture Industry Drivers
2.3 Artificial Intelligence (AI) in Agriculture Industry Opportunities and Challenges
2.4 Artificial Intelligence (AI) in Agriculture Industry Restraints

3 Global Growth Perspective
3.1 Global Artificial Intelligence (AI) in Agriculture Market Perspective (2019-2030)
3.2 Global Artificial Intelligence (AI) in Agriculture Growth Trends by Region
3.2.1 Global Artificial Intelligence (AI) in Agriculture Market Size by Region: 2019 VS 2023 VS 2030
3.2.2 Global Artificial Intelligence (AI) in Agriculture Market Size by Region (2019-2024)
3.2.3 Global Artificial Intelligence (AI) in Agriculture Market Size by Region (2025-2030)
4 Competitive Landscape by Players
4.1 Global Artificial Intelligence (AI) in Agriculture Revenue by Players
4.1.1 Global Artificial Intelligence (AI) in Agriculture Revenue by Players (2019-2024)
4.1.2 Global Artificial Intelligence (AI) in Agriculture Revenue Market Share by Players (2019-2024)
4.1.3 Global Artificial Intelligence (AI) in Agriculture Players Revenue Share Top 10 and Top 5 in 2023
4.2 Global Artificial Intelligence (AI) in Agriculture Key Players Ranking, 2022 VS 2023 VS 2024
4.3 Global Artificial Intelligence (AI) in Agriculture Key Players Headquarters & Area Served
4.4 Global Artificial Intelligence (AI) in Agriculture Players, Product Type & Application
4.5 Global Artificial Intelligence (AI) in Agriculture Players Commercialization Time
4.6 Market Competitive Analysis
4.6.1 Global Artificial Intelligence (AI) in Agriculture Market CR5 and HHI
4.6.2 Global Top 5 and 10 Artificial Intelligence (AI) in Agriculture Players Market Share by Revenue in 2023
4.6.3 2023 Artificial Intelligence (AI) in Agriculture Tier 1, Tier 2, and Tier 3

5 Artificial Intelligence (AI) in Agriculture Market Size by Type
5.1 Global Artificial Intelligence (AI) in Agriculture Revenue by Type (2019 VS 2023 VS 2030)
5.2 Global Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
5.3 Global Artificial Intelligence (AI) in Agriculture Revenue Market Share by Type (2019-2030)

6 Artificial Intelligence (AI) in Agriculture Market Size by Application
6.1 Global Artificial Intelligence (AI) in Agriculture Revenue by Application (2019 VS 2023 VS 2030)
6.2 Global Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
6.3 Global Artificial Intelligence (AI) in Agriculture Revenue Market Share by Application (2019-2030)

7 Company Profiles
7.1 IBM
7.1.1 IBM Comapny Information
7.1.2 IBM Business Overview
7.1.3 IBM Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.1.4 IBM Artificial Intelligence (AI) in Agriculture Product Portfolio
7.1.5 IBM Recent Developments
7.2 Intel
7.2.1 Intel Comapny Information
7.2.2 Intel Business Overview
7.2.3 Intel Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.2.4 Intel Artificial Intelligence (AI) in Agriculture Product Portfolio
7.2.5 Intel Recent Developments
7.3 Microsoft
7.3.1 Microsoft Comapny Information
7.3.2 Microsoft Business Overview
7.3.3 Microsoft Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.3.4 Microsoft Artificial Intelligence (AI) in Agriculture Product Portfolio
7.3.5 Microsoft Recent Developments
7.4 SAP
7.4.1 SAP Comapny Information
7.4.2 SAP Business Overview
7.4.3 SAP Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.4.4 SAP Artificial Intelligence (AI) in Agriculture Product Portfolio
7.4.5 SAP Recent Developments
7.5 Agribotix
7.5.1 Agribotix Comapny Information
7.5.2 Agribotix Business Overview
7.5.3 Agribotix Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.5.4 Agribotix Artificial Intelligence (AI) in Agriculture Product Portfolio
7.5.5 Agribotix Recent Developments
7.6 The Climate Corporation
7.6.1 The Climate Corporation Comapny Information
7.6.2 The Climate Corporation Business Overview
7.6.3 The Climate Corporation Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.6.4 The Climate Corporation Artificial Intelligence (AI) in Agriculture Product Portfolio
7.6.5 The Climate Corporation Recent Developments
7.7 Mavrx
7.7.1 Mavrx Comapny Information
7.7.2 Mavrx Business Overview
7.7.3 Mavrx Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.7.4 Mavrx Artificial Intelligence (AI) in Agriculture Product Portfolio
7.7.5 Mavrx Recent Developments
7.8 aWhere
7.8.1 aWhere Comapny Information
7.8.2 aWhere Business Overview
7.8.3 aWhere Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.8.4 aWhere Artificial Intelligence (AI) in Agriculture Product Portfolio
7.8.5 aWhere Recent Developments
7.9 Precision Hawk
7.9.1 Precision Hawk Comapny Information
7.9.2 Precision Hawk Business Overview
7.9.3 Precision Hawk Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.9.4 Precision Hawk Artificial Intelligence (AI) in Agriculture Product Portfolio
7.9.5 Precision Hawk Recent Developments
7.10 Granular
7.10.1 Granular Comapny Information
7.10.2 Granular Business Overview
7.10.3 Granular Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.10.4 Granular Artificial Intelligence (AI) in Agriculture Product Portfolio
7.10.5 Granular Recent Developments
7.11 Prospera Technologies
7.11.1 Prospera Technologies Comapny Information
7.11.2 Prospera Technologies Business Overview
7.11.3 Prospera Technologies Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.11.4 Prospera Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
7.11.5 Prospera Technologies Recent Developments
7.12 Spensa Technologies
7.12.1 Spensa Technologies Comapny Information
7.12.2 Spensa Technologies Business Overview
7.12.3 Spensa Technologies Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.12.4 Spensa Technologies Artificial Intelligence (AI) in Agriculture Product Portfolio
7.12.5 Spensa Technologies Recent Developments
7.13 Resson
7.13.1 Resson Comapny Information
7.13.2 Resson Business Overview
7.13.3 Resson Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.13.4 Resson Artificial Intelligence (AI) in Agriculture Product Portfolio
7.13.5 Resson Recent Developments
7.14 Vision Robotics
7.14.1 Vision Robotics Comapny Information
7.14.2 Vision Robotics Business Overview
7.14.3 Vision Robotics Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.14.4 Vision Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
7.14.5 Vision Robotics Recent Developments
7.15 Harvest Croo Robotics
7.15.1 Harvest Croo Robotics Comapny Information
7.15.2 Harvest Croo Robotics Business Overview
7.15.3 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.15.4 Harvest Croo Robotics Artificial Intelligence (AI) in Agriculture Product Portfolio
7.15.5 Harvest Croo Robotics Recent Developments
7.16 CropX
7.16.1 CropX Comapny Information
7.16.2 CropX Business Overview
7.16.3 CropX Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.16.4 CropX Artificial Intelligence (AI) in Agriculture Product Portfolio
7.16.5 CropX Recent Developments
7.17 John Deere
7.17.1 John Deere Comapny Information
7.17.2 John Deere Business Overview
7.17.3 John Deere Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.17.4 John Deere Artificial Intelligence (AI) in Agriculture Product Portfolio
7.17.5 John Deere Recent Developments
7.18 Gamaya
7.18.1 Gamaya Comapny Information
7.18.2 Gamaya Business Overview
7.18.3 Gamaya Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.18.4 Gamaya Artificial Intelligence (AI) in Agriculture Product Portfolio
7.18.5 Gamaya Recent Developments
7.19 Cainthus
7.19.1 Cainthus Comapny Information
7.19.2 Cainthus Business Overview
7.19.3 Cainthus Artificial Intelligence (AI) in Agriculture Revenue and Gross Margin (2019-2024)
7.19.4 Cainthus Artificial Intelligence (AI) in Agriculture Product Portfolio
7.19.5 Cainthus Recent Developments
8 North America
8.1 North America Artificial Intelligence (AI) in Agriculture Revenue (2019-2030)
8.2 North America Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
8.2.1 North America Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2024)
8.2.2 North America Artificial Intelligence (AI) in Agriculture Revenue by Type (2025-2030)
8.3 North America Artificial Intelligence (AI) in Agriculture Revenue Share by Type (2019-2030)
8.4 North America Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
8.4.1 North America Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2024)
8.4.2 North America Artificial Intelligence (AI) in Agriculture Revenue by Application (2025-2030)
8.5 North America Artificial Intelligence (AI) in Agriculture Revenue Share by Application (2019-2030)
8.6 North America Artificial Intelligence (AI) in Agriculture Revenue by Country
8.6.1 North America Artificial Intelligence (AI) in Agriculture Revenue by Country (2019 VS 2023 VS 2030)
8.6.2 North America Artificial Intelligence (AI) in Agriculture Revenue by Country (2019-2024)
8.6.3 North America Artificial Intelligence (AI) in Agriculture Revenue by Country (2025-2030)
8.6.4 U.S.
8.6.5 Canada

9 Europe
9.1 Europe Artificial Intelligence (AI) in Agriculture Revenue (2019-2030)
9.2 Europe Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
9.2.1 Europe Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2024)
9.2.2 Europe Artificial Intelligence (AI) in Agriculture Revenue by Type (2025-2030)
9.3 Europe Artificial Intelligence (AI) in Agriculture Revenue Share by Type (2019-2030)
9.4 Europe Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
9.4.1 Europe Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2024)
9.4.2 Europe Artificial Intelligence (AI) in Agriculture Revenue by Application (2025-2030)
9.5 Europe Artificial Intelligence (AI) in Agriculture Revenue Share by Application (2019-2030)
9.6 Europe Artificial Intelligence (AI) in Agriculture Revenue by Country
9.6.1 Europe Artificial Intelligence (AI) in Agriculture Revenue by Country (2019 VS 2023 VS 2030)
9.6.2 Europe Artificial Intelligence (AI) in Agriculture Revenue by Country (2019-2024)
9.6.3 Europe Artificial Intelligence (AI) in Agriculture Revenue by Country (2025-2030)
9.6.4 Germany
9.6.5 France
9.6.6 U.K.
9.6.7 Italy
9.6.8 Russia

10 China
10.1 China Artificial Intelligence (AI) in Agriculture Revenue (2019-2030)
10.2 China Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
10.2.1 China Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2024)
10.2.2 China Artificial Intelligence (AI) in Agriculture Revenue by Type (2025-2030)
10.3 China Artificial Intelligence (AI) in Agriculture Revenue Share by Type (2019-2030)
10.4 China Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
10.4.1 China Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2024)
10.4.2 China Artificial Intelligence (AI) in Agriculture Revenue by Application (2025-2030)
10.5 China Artificial Intelligence (AI) in Agriculture Revenue Share by Application (2019-2030)

11 Asia (Excluding China)
11.1 Asia Artificial Intelligence (AI) in Agriculture Revenue (2019-2030)
11.2 Asia Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
11.2.1 Asia Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2024)
11.2.2 Asia Artificial Intelligence (AI) in Agriculture Revenue by Type (2025-2030)
11.3 Asia Artificial Intelligence (AI) in Agriculture Revenue Share by Type (2019-2030)
11.4 Asia Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
11.4.1 Asia Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2024)
11.4.2 Asia Artificial Intelligence (AI) in Agriculture Revenue by Application (2025-2030)
11.5 Asia Artificial Intelligence (AI) in Agriculture Revenue Share by Application (2019-2030)
11.6 Asia Artificial Intelligence (AI) in Agriculture Revenue by Country
11.6.1 Asia Artificial Intelligence (AI) in Agriculture Revenue by Country (2019 VS 2023 VS 2030)
11.6.2 Asia Artificial Intelligence (AI) in Agriculture Revenue by Country (2019-2024)
11.6.3 Asia Artificial Intelligence (AI) in Agriculture Revenue by Country (2025-2030)
11.6.4 Japan
11.6.5 South Korea
11.6.6 India
11.6.7 Australia
11.6.8 China Taiwan
11.6.9 Southeast Asia

12 Middle East, Africa, Latin America
12.1 MEALA Artificial Intelligence (AI) in Agriculture Revenue (2019-2030)
12.2 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2030)
12.2.1 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Type (2019-2024)
12.2.2 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Type (2025-2030)
12.3 MEALA Artificial Intelligence (AI) in Agriculture Revenue Share by Type (2019-2030)
12.4 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2030)
12.4.1 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Application (2019-2024)
12.4.2 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Application (2025-2030)
12.5 MEALA Artificial Intelligence (AI) in Agriculture Revenue Share by Application (2019-2030)
12.6 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Country
12.6.1 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Country (2019 VS 2023 VS 2030)
12.6.2 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Country (2019-2024)
12.6.3 MEALA Artificial Intelligence (AI) in Agriculture Revenue by Country (2025-2030)
12.6.4 Mexico
12.6.5 Brazil
12.6.6 Israel
12.6.7 Argentina
12.6.8 Colombia
12.6.9 Turkey
12.6.10 Saudi Arabia
12.6.11 UAE

13 Concluding Insights
14 Appendix
14.1 Reasons for Doing This Study
14.2 Research Methodology
14.3 Research Process
14.4 Authors List of This Report
14.5 Data Source
14.5.1 Secondary Sources
14.5.2 Primary Sources
14.6 Disclaimer