Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2030
Market Overview
Fatpos Global has released a report titled Artificial Intelligence in Agriculture Market - Analysis of Market Size, Share & Trends for 2014 - 2020 and Forecasts to 2031. According to a study by Fatpos Global, is anticipated to reachUSD 1.0 billion in 2020 to USD 4.0 billion by 2030, at a CAGR of 25.5% between 2020 and 2030.. According to the report, emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market
Artificial Intelligence in Agriculture Market Market: Key Players
International Business Machines Corp. (IBM) (US),
Deere & Company (John Deere) (US),
Microsoft Corporation (Microsoft) (US),
Farmers Edge Inc. (Farmers Edge) (Canada),
The Climate Corporation (Climate Corp.) (US),
ec2ce (ec2ce) (Spain),
Descartes Labs, Inc. (Descartes Labs) (US),
AgEagle Aerial Systems (AgEagle) (US), and
aWhere Inc. (aWhere) (US)
Segmentation
AI in agriculture market segmentation:
In this report, the AI in agriculture market has been segmented into the following categories:
Based on technology:
Machine Learning
Computer Vision
Predictive Analytics
Based on offering:
Hardware
Software
AI-as-a-Service
Services
Based on application:
Precision Farming
Agriculture Robots
Livestock Monitoring
Drone Analytics
Labor Management
Others
Based on region:
Americas
Europe
Asia Pacific (APAC)
Rest of the World (RoW
Artificial Intelligence in Agriculture Market Market Dynamics
Artificial Intelligence in Agriculture Market Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth market segmentation
What is the Artificial Intelligence in Agriculture Market Market growth?
Which segment accounted for the largest Artificial Intelligence in Agriculture Market Market share?
Who are the key players in the Griddles Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
Note: Although care has been taken to maintain the highest levels of accuracy in Fatpos Global’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.
Fatpos Global has released a report titled Artificial Intelligence in Agriculture Market - Analysis of Market Size, Share & Trends for 2014 - 2020 and Forecasts to 2031. According to a study by Fatpos Global, is anticipated to reachUSD 1.0 billion in 2020 to USD 4.0 billion by 2030, at a CAGR of 25.5% between 2020 and 2030.. According to the report, emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market
Artificial Intelligence in Agriculture Market Market: Key Players
International Business Machines Corp. (IBM) (US),
Deere & Company (John Deere) (US),
Microsoft Corporation (Microsoft) (US),
Farmers Edge Inc. (Farmers Edge) (Canada),
The Climate Corporation (Climate Corp.) (US),
ec2ce (ec2ce) (Spain),
Descartes Labs, Inc. (Descartes Labs) (US),
AgEagle Aerial Systems (AgEagle) (US), and
aWhere Inc. (aWhere) (US)
Segmentation
AI in agriculture market segmentation:
In this report, the AI in agriculture market has been segmented into the following categories:
Based on technology:
Machine Learning
Computer Vision
Predictive Analytics
Based on offering:
Hardware
Software
AI-as-a-Service
Services
Based on application:
Precision Farming
Agriculture Robots
Livestock Monitoring
Drone Analytics
Labor Management
Others
Based on region:
Americas
Europe
Asia Pacific (APAC)
Rest of the World (RoW
Artificial Intelligence in Agriculture Market Market Dynamics
Artificial Intelligence in Agriculture Market Market Size
Supply & Demand
Current Trends/Issues/Challenges
Competition & Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints
The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:
COVID-19 pre and post business impact analysis
Detailed overview of the parent market
Changing market dynamics in the industry
In-depth market segmentation
What is the Artificial Intelligence in Agriculture Market Market growth?
Which segment accounted for the largest Artificial Intelligence in Agriculture Market Market share?
Who are the key players in the Griddles Market?
Historical, current and projected market size in terms of volume and value
Recent industry trends and developments
Competitive landscape
Strategies of key players and products offered
Potential and niche segments, geographical regions exhibiting promising growth
A neutral perspective on market performance
Must-have information for market players to sustain and enhance their market footprint
Note: Although care has been taken to maintain the highest levels of accuracy in Fatpos Global’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.
1. EXECUTIVE SUMMARY
2. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. RESEARCH METHODOLOGY
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. AVERAGE PRICING ANALYSIS
5. MACRO-ECONOMIC INDICATORS
6. MARKET DYNAMICS
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. CORRELATION & REGRESSION ANALYSIS
7.1. Correlation Matrix
7.2. Regression Matrix
8. RECENT DEVELOPMENT, POLICIES & REGULATORY LANDSCAPE
9. RISK ANALYSIS
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: MARKET SEGMENTATION
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By network type: Market Share (2020-2030F)
12.2.1. Hardware , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Software , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.3. Services , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By End user: Market Share (2020-2030F)
12.3.1. Manufacturing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Healthcare, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.3. Energy and Utilities, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.4. IT & Telecom, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.5. Automotive and Transportation, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.6. Supply Chain and Logistics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.7. Government and Public Safety, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.8. Agriculture, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.9. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
International Business Machines Corp. (IBM) (US),
Deere & Company (John Deere) (US),
Microsoft Corporation (Microsoft) (US),
Farmers Edge Inc. (Farmers Edge) (Canada),
The Climate Corporation (Climate Corp.) (US),
ec2ce (ec2ce) (Spain),
Descartes Labs, Inc. (Descartes Labs) (US),
AgEagle Aerial Systems (AgEagle) (US), and
aWhere Inc. (aWhere) (US)
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
2. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. RESEARCH METHODOLOGY
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. AVERAGE PRICING ANALYSIS
5. MACRO-ECONOMIC INDICATORS
6. MARKET DYNAMICS
6.1. Growth Drivers
6.2. Restraints
6.3. Opportunity
6.4. Trends
7. CORRELATION & REGRESSION ANALYSIS
7.1. Correlation Matrix
7.2. Regression Matrix
8. RECENT DEVELOPMENT, POLICIES & REGULATORY LANDSCAPE
9. RISK ANALYSIS
9.1. Demand Risk Analysis
9.2. Supply Risk Analysis
10. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET ANALYSIS
10.1. Porters Five Forces
10.1.1. Threat of New Entrants
10.1.2. Bargaining Power of Suppliers
10.1.3. Threat of Substitutes
10.1.4. Rivalry
10.2. PEST Analysis
10.2.1. Political
10.2.2. Economic
10.2.3. Social
10.2.4. Technological
11. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET
11.1. Market Size & forecast, 2020A-2030F
11.1.1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
11.1.2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: MARKET SEGMENTATION
12.1. By Regions
12.1.1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2. By network type: Market Share (2020-2030F)
12.2.1. Hardware , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.2. Software , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.2.3. Services , By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3. By End user: Market Share (2020-2030F)
12.3.1. Manufacturing, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.2. Healthcare, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.3. Energy and Utilities, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.4. IT & Telecom, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.5. Automotive and Transportation, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.6. Supply Chain and Logistics, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.7. Government and Public Safety, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.8. Agriculture, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12.3.9. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
International Business Machines Corp. (IBM) (US),
Deere & Company (John Deere) (US),
Microsoft Corporation (Microsoft) (US),
Farmers Edge Inc. (Farmers Edge) (Canada),
The Climate Corporation (Climate Corp.) (US),
ec2ce (ec2ce) (Spain),
Descartes Labs, Inc. (Descartes Labs) (US),
AgEagle Aerial Systems (AgEagle) (US), and
aWhere Inc. (aWhere) (US)
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
