June 17, 2024

Artificial Intelligence in Agriculture Market Size To Cross USD 11.13 Bn By 2032

The global artificial intelligence in agriculture market size accounted for US$ 1.37 Bn in 2022 and is projected to reach around USD 11.13 Bn by 2032, at a remarkable  CAGR of 23.3% from 2023 to 2032.

Artificial Intelligence in Agriculture Market Size 2023 To 2032

Key Takeaways:

  • North America contributed more than 39% of revenue share in 2022.
  • By component, the software segment is expected to dominate the market during the forecast period.
  • By technology, the predictive analytics segment captured more than 47% of revenue share in 2022.
  • By application, precision farming is expected to capture the largest market share over the forecast period.

Report Summary

The global artificial intelligence in agriculture market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the artificial intelligence in agriculture market across the globe.

A comprehensive estimate on the artificial intelligence in agriculture market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of artificial intelligence in agriculture during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Artificial Intelligence in Agriculture Market  Report Scope 

Report CoverageDetails
Market Size in 2023USD 1.69 Billion
Market Size by 2032USD 11.13 Billion
Growth Rate from 2023 to 2032CAGR of 23.3%
Largest MarketNorth America
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Component, By Technology, and By Application
Regions CoveredNorth America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized artificial intelligence in agriculture market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read: Generative AI in Legal Market Size To Cross USD 781.55 Mn By 2032

Market Segments:

Application:

Based on the application, the market has been categorized into several segments, including precision farming, drone analytics, agriculture robots, livestock monitoring, and others. Among these, the precision farming segment is anticipated to hold a significant market share throughout the forecast period. Precision farming has emerged as one of the rapidly expanding AI-enabled applications in the agriculture sector, offering valuable benefits to farmers in terms of cost reduction and resource optimization.

The implementation of AI in precision farming facilitates data collection, interpretation, and analysis of digital information. For example, GPS-equipped combine harvesters utilize artificial intelligence to monitor harvest yield and assess field variability, considering factors like water levels, soil composition, and fungal presence, resulting in the generation of georeferenced data. The insights and forecasts obtained from this analysis enable farmers to tailor their use of fertilizers or pesticides more effectively.

Component:

The market for AI in agriculture can be categorized based on its components, which include hardware, software, and services. Among these components, the software segment is anticipated to hold a significant market share. Major industry players like IBM, Microsoft, and Deere & Company are actively providing AI-based solutions tailored for the agriculture sector. These AI-powered software solutions play a crucial role in enhancing crop productivity and yield through the implementation of predictive analytics and computer vision technologies.

The software segment’s growth is further fueled by the increasing adoption of predictive analytics-based software. Notable examples of such software include IBM Corporation’s Watson Decision Platform, Microsoft’s AI Sowing App, and Deere & Company’s See and Spray pesticide and herbicide distribution systems. These sophisticated AI solutions empower farmers by helping them identify the ideal time for crop sowing, detect crop diseases, monitor crop yield, and determine the optimal allocation of land, fertilizers, water, and pesticides.

Artificial Intelligence in Agriculture Market Players

The report includes the profiles of key artificial intelligence in agriculture market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

  • Microsoft
  • IBM Corporation
  • Granular, Inc.
  • AgEagle Aerial Systems Inc.
  • The Climate Corporation
  • Deere & Company
  • Descartes Labs, Inc.
  • Prospera Technologies
  • GAMAYA
  • aWhere Inc.
  • Taranis
  • ec2ce
  • VineView
  • PrecisionHawk
  • Tule Technologies Inc.

Market Segmentation

By Component

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning & Deep Learning
  • Predictive Analytics
  • Computer Vision

By Application

  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Livestock Monitoring
  • Others

Regional Segmentation

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
  • Latin America (Brazil and Rest of Latin America)
  • Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

  • Governmental bodies, and organizations creating economic policies
  • National and international social welfare institutions
  • Company websites, financial reports and SEC filings, broker and investor reports
  • Related patent and regulatory databases
  • Statistical databases and market reports
  • Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

  • Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
  • In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence in Agriculture Market 

5.1. COVID-19 Landscape: Artificial Intelligence in Agriculture Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence in Agriculture Market, By Component

8.1. Artificial Intelligence in Agriculture Market, by Component, 2023-2032

8.1.1 Hardware

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Artificial Intelligence in Agriculture Market, By Technology

9.1. Artificial Intelligence in Agriculture Market, by Technology, 2023-2032

9.1.1. Machine Learning & Deep Learning

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Predictive Analytics

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Computer Vision

9.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Artificial Intelligence in Agriculture Market, By Application 

10.1. Artificial Intelligence in Agriculture Market, by Application, 2023-2032

10.1.1. Precision Farming

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Drone Analytics

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Agriculture Robots

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Livestock Monitoring

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Artificial Intelligence in Agriculture Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.3. Market Revenue and Forecast, by Application (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.3. Market Revenue and Forecast, by Application (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.3. Market Revenue and Forecast, by Application (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)

11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.3. Market Revenue and Forecast, by Application (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)

11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)

Chapter 12. Company Profiles

12.1. Microsoft

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. IBM Corporation

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Granular, Inc.

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. AgEagle Aerial Systems Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. The Climate Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Deere & Company

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Descartes Labs, Inc.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Prospera Technologies

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. GAMAYA

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. aWhere Inc.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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