Global Artificial Intelligence in Agriculture Market is valued at approximately USD 1.0 billion in 20211 and is anticipated to grow with a healthy growth rate of more than 25.5% over the forecast period 2022-2028. Artificial Intelligence in Agriculture describes as the adoption of novel and advancing technologies to solve traditional farming complications. AI systems aids to boost harvest quality and accuracy, which is also known as precision agriculture. In addition, it also detects any disease in plants, pests, and poor nutrition of farms, and can also target weeds and decide which herbicide to use in the area. The rising deployment of data generation through sensors and aerial images for crops, as well as regulatory support to adopt modern agricultural techniques are stimulating the market demand. Moreover, the growing population is putting strain on the global food supply chain, which is leading the higher crop production. According to the united nation, there are nearly 7.3 billion people around the world and it is expected to rise to around 9.7 billion people by 2050. Therefore, these factors may boost the global market demand in the near future. However, high costs are involved for gathering precise field data impedes the growth of the market over the forecast period of 2022-2028. Also, the rising adoption of AI solutions to manage small farms (less than 5 hectares) is anticipated to act as a catalyzing factor for the market demand during the forecast period.
The key regions considered for the Global Artificial Intelligence in Agriculture Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. Europe is the leading region across the world in terms of market share owing to the rising inclination towards the monitoring and reporting tools for indoor and outdoor farms and growing need for the visualization of overall crop production by using computer vision and AI. Whereas, Asia-Pacific is also anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the highest crop production in the regions such as India and China, as well as rising government support for the adoption of novel agricultural techniques would create lucrative growth prospects for Artificial Intelligence in Agriculture market across the Asia-Pacific region.
Major market players included in this report are:
International Business Machines Corp. (IBM)
Microsoft Corporation
Vision Robotics Corporation
Deere & Company
Precision Hawk Inc.
Granular, Inc.
Cainthus Corporation
The Climate Corporation
Vision Robotics Corporation
Descartes Labs, Inc.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Technology
Machine Learning
Computer Vision
Predictive Analytics
By Offering:
Hardware
Software
AI-as-a-Service
Services
By Application
Precision Farming
Agriculture Robots
Livestock Monitoring
Drone Analytics
Labor Management
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year - 2018, 2019, 2020
Base year - 2021
Forecast period - 2022 to 2028
Target Audience of the Global Artificial Intelligence in Agriculture Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
- 1.2.1. Global Artificial Intelligence in Agriculture Market, by Region, 2020-2028 (USD Billion)
- 1.2.2. Global Artificial Intelligence in Agriculture Market, by Technology, 2020-2028 (USD Billion)
- 1.2.3. Global Artificial Intelligence in Agriculture Market, by Offering, 2020-2028 (USD Billion)
- 1.2.4. Global Artificial Intelligence in Agriculture Market, by Application, 2020-2028 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Artificial Intelligence in Agriculture Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Scope of the Study
- 2.2.2. Industry Evolution
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence in Agriculture Market Dynamics
- 3.1. Artificial Intelligence in Agriculture Market Impact Analysis (2020-2028)
- 3.1.1. Market Drivers
- 3.1.1.1. Growing crop productivity through deep learning technology
- 3.1.1.2. Government support to adopt modern agricultural techniques
- 3.1.2. Market Challenges
- 3.1.2.1. Limited availability of historical data
- 3.1.3. Market Opportunities
- 3.1.3.1. Use of AI solutions to manage small farms (less than 5 hectares)
Chapter 4. Global Artificial Intelligence in Agriculture Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model (2019-2028)
- 4.2. PEST Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.3. Investment Adoption Model
- 4.4. Analyst Recommendation & Conclusion
- 4.5. Top investment opportunity
- 4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
- 5.1.1. Assessment of the overall impact of COVID-19 on the industry
- 5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Artificial Intelligence in Agriculture Market, by Technology
- 6.1. Market Snapshot
- 6.2. Global Artificial Intelligence in Agriculture Market by Technology, Performance - Potential Analysis
- 6.3. Global Artificial Intelligence in Agriculture Market Estimates & Forecasts by Technology, 2019-2028 (USD Billion)
- 6.4. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
- 6.4.1. Machine Learning
- 6.4.2. Computer Vision
- 6.4.3. Predictive Analytics
Chapter 7. Global Artificial Intelligence in Agriculture Market, by Offering
- 7.1. Market Snapshot
- 7.2. Global Artificial Intelligence in Agriculture Market by Offering, Performance - Potential Analysis
- 7.3. Global Artificial Intelligence in Agriculture Market Estimates & Forecasts by Offering, 2019-2028 (USD Billion)
- 7.4. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
- 7.4.1. Hardware
- 7.4.2. Software
- 7.4.3. AI-as-a-Service
- 7.4.4. Services
Chapter 8. Global Artificial Intelligence in Agriculture Market, by Application
- 8.1. Market Snapshot
- 8.2. Global Artificial Intelligence in Agriculture Market by Application, Performance - Potential Analysis
- 8.3. Global Artificial Intelligence in Agriculture Market Estimates & Forecasts by Application, 2019-2028 (USD Billion)
- 8.4. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
- 8.4.1. Precision Farming
- 8.4.2. Agriculture Robots
- 8.4.3. Livestock Monitoring
- 8.4.4. Drone Analytics
- 8.4.5. Labor Management
- 8.4.6. Others
Chapter 9. Global Artificial Intelligence in Agriculture Market, Regional Analysis
- 9.1. Artificial Intelligence in Agriculture Market, Regional Market Snapshot
- 9.2. North America Artificial Intelligence in Agriculture Market
- 9.2.1. U.S. Artificial Intelligence in Agriculture Market
- 9.2.1.1. Technology breakdown estimates & forecasts, 2019-2028
- 9.2.1.2. Offering breakdown estimates & forecasts, 2019-2028
- 9.2.1.3. Application breakdown estimates & forecasts, 2019-2028
- 9.2.2. Canada Artificial Intelligence in Agriculture Market
- 9.3. Europe Artificial Intelligence in Agriculture Market Snapshot
- 9.3.1. U.K. Artificial Intelligence in Agriculture Market
- 9.3.2. Germany Artificial Intelligence in Agriculture Market
- 9.3.3. France Artificial Intelligence in Agriculture Market
- 9.3.4. Spain Artificial Intelligence in Agriculture Market
- 9.3.5. Italy Artificial Intelligence in Agriculture Market
- 9.3.6. Rest of Europe Artificial Intelligence in Agriculture Market
- 9.4. Asia-Pacific Artificial Intelligence in Agriculture Market Snapshot
- 9.4.1. China Artificial Intelligence in Agriculture Market
- 9.4.2. India Artificial Intelligence in Agriculture Market
- 9.4.3. Japan Artificial Intelligence in Agriculture Market
- 9.4.4. Australia Artificial Intelligence in Agriculture Market
- 9.4.5. South Korea Artificial Intelligence in Agriculture Market
- 9.4.6. Rest of Asia Pacific Artificial Intelligence in Agriculture Market
- 9.5. Latin America Artificial Intelligence in Agriculture Market Snapshot
- 9.5.1. Brazil Artificial Intelligence in Agriculture Market
- 9.5.2. Mexico Artificial Intelligence in Agriculture Market
- 9.6. Rest of The World Artificial Intelligence in Agriculture Market
Chapter 10. Competitive Intelligence
- 10.1. Top Market Strategies
- 10.2. Company Profiles
- 10.2.1. International Business Machines Corp. (IBM)
- 10.2.1.1. Key Information
- 10.2.1.2. Overview
- 10.2.1.3. Financial (Subject to Data Availability)
- 10.2.1.4. Product Summary
- 10.2.1.5. Recent Developments
- 10.2.2. Microsoft Corporation
- 10.2.3. Vision Robotics Corporation
- 10.2.4. Deere & Company
- 10.2.5. Precision Hawk Inc.
- 10.2.6. Granular, Inc.
- 10.2.7. Cainthus Corporation
- 10.2.8. The Climate Corporation
- 10.2.9. Vision Robotics Corporation
- 10.2.10. Descartes Labs, Inc.
Chapter 11. Research Process
- 11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
- 11.2. Research Attributes
- 11.3. Research Assumption