Artificial Intelligence in Agriculture Market By Key Manufacturers, By Type (Machine Learning, Computer Vision, Predictive Analytics), By Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others), and By Region (North America, Latin America, Europe, Asia Pacific, Middle East and Africa) - Impact of Covid 19 Analysis on Global Outlook to 2027
Report ID: 399764 | Aug 2021 | No. of Pages: 120
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Covid-19 Impact Analysis & Forecast
Covid-19 Impact Analysis on Global Artificial Intelligence in Agriculture Market size is estimated to record USD 5301.92 Million by 2027, at a Compound Annual Growth Rate (CAGR) of 26.7%.
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market report (2019-2027) includes global market size, trends, company overview, competition analysis, and forecast. The global market is projected to record USD 798.4 Million in 2019.
The market report includes Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market definition, segmentation, executive summary, value chain analysis, porter’s analysis, research methodology and new industry trends which includes drivers, restraints and market opportunities. Other section includes regional analysis which is conducted on various factors such as cost of the Application/services, raw Application supplies, Applicationion capacities, availability and demand analysis. Further section includes analysis and opportunity ass Sintrol ment for key companies. This section includes competition analysis, market share analysis, key developments of the industry, and company profiling. Within company profiling, detailed analysis of key players including company overview, financial information analysis, Application offerings, and recent development of company. This also includes SWOT analysis that highlights the current position of company among competitors and in market.
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Dynamics
The market report comprises of market dynamics/trends section that includes driving factors, restraints, and opportunities faced by the market players and stakeholders. These market trends includes core factors such as driving factor and restraining factor and extrinsic factors such as opportunities. These factors are not only confined with the current market situation as well as with the forecasted period.
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Competitive Landscape
The key companies in Artificial Intelligence in Agriculture Market are International Business Machines Corp. (IBM), Deere & Company, Microsoft Corporation, Farmers Edge Inc, The Climate Corporation, ec2ce, Descartes Labs, Inc., AgEagle, Aerial Systems, aWhere Inc., Gamaya Inc., Precision Hawk Inc., Granular, Inc., Prospera Technologies, Cainthus Corporation, Taranis, Resson Inc.
Focus Areas of Market
• Global Market Analysis (2019-2027)
• Cost Analysis
• Market Growth Factors
• Market Strategies
• Key Companies Analysis
• Industry Growth Analysis
Regional Analysis
• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa
Company Profile Inclusions
• Business Overview
• Financial Information
• Market Share Analysis
• Recent News
• SWOT Analysis
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market report (2019-2027) includes global market size, trends, company overview, competition analysis, and forecast. The global market is projected to record USD 798.4 Million in 2019.
The market report includes Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market definition, segmentation, executive summary, value chain analysis, porter’s analysis, research methodology and new industry trends which includes drivers, restraints and market opportunities. Other section includes regional analysis which is conducted on various factors such as cost of the Application/services, raw Application supplies, Applicationion capacities, availability and demand analysis. Further section includes analysis and opportunity ass Sintrol ment for key companies. This section includes competition analysis, market share analysis, key developments of the industry, and company profiling. Within company profiling, detailed analysis of key players including company overview, financial information analysis, Application offerings, and recent development of company. This also includes SWOT analysis that highlights the current position of company among competitors and in market.
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Dynamics
The market report comprises of market dynamics/trends section that includes driving factors, restraints, and opportunities faced by the market players and stakeholders. These market trends includes core factors such as driving factor and restraining factor and extrinsic factors such as opportunities. These factors are not only confined with the current market situation as well as with the forecasted period.
Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Competitive Landscape
The key companies in Artificial Intelligence in Agriculture Market are International Business Machines Corp. (IBM), Deere & Company, Microsoft Corporation, Farmers Edge Inc, The Climate Corporation, ec2ce, Descartes Labs, Inc., AgEagle, Aerial Systems, aWhere Inc., Gamaya Inc., Precision Hawk Inc., Granular, Inc., Prospera Technologies, Cainthus Corporation, Taranis, Resson Inc.
Focus Areas of Market
• Global Market Analysis (2019-2027)
• Cost Analysis
• Market Growth Factors
• Market Strategies
• Key Companies Analysis
• Industry Growth Analysis
Regional Analysis
• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa
Company Profile Inclusions
• Business Overview
• Financial Information
• Market Share Analysis
• Recent News
• SWOT Analysis
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
Chapter 4. Market Outlook
4.1. Market Dynamics
4.1.1. Market Drivers
4.1.2. Market Restraints
4.1.3. Market Opportunities
4.2. Porter’s Analysis
4.3. Value Chain Analysis
4.4. Covid-19 Impact Analysis on Market
Chapter 5. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Type
5.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Type 2019-2027
5.2. Machine Learning
5.3. Computer Vision
5.4. Predictive Analytics
Chapter 6. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Application
6.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Application 2019-2027
6.2. Precision Farming
6.3. Agriculture Robots
6.4. Livestock Monitoring
6.5. Drone Analytics
6.6. Labor Management
6.7. Others
Chapter 7. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Region
7.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Region 2019-2027
7.1.1. North America
7.1.1.1. U.S
7.1.1.1. Canada
7.1.1.2. Mexico
7.1.2. Europe
7.1.2.1. U.K.
7.1.2.2. Germany
7.1.2.3. France
7.1.2.4. Rest of the Europe
7.1.3. Middle East & Africa (MEA)
7.1.3.1. GCC
7.1.3.2. North Africa
7.1.3.3. South Africa
7.1.3.4. Rest of MEA
7.1.4. Latin America (LATAM)
7.1.4.1. Brazil
7.1.4.2. Rest of LATAM
7.1.5. Asia Pacific (APAC)
7.1.5.1. India
7.1.5.2. China
7.1.5.3. Japan
7.1.5.4. Rest of the APAC
Chapter 8. Competitive Landscape
8.1.1. Key Strategies Adopted by Players
8.1.2. Market Share/Positioning Analysis
Chapter 9. Company Profiles
9.1. International Business Machines Corp. (IBM)
9.1.1. Company Overview
9.1.2. Application Offerings
9.1.3. Financial Performance
9.1.4. Recent Initiatives
9.2. Deere & Company
9.3. Microsoft Corporation
9.4. Farmers Edge Inc
9.5. The Climate Corporation
9.6. ec2ce
9.7. Descartes Labs, Inc.
9.8. AgEagle Aerial Systems
9.9. aWhere Inc.
9.10. Gamaya Inc.
9.11. Precision Hawk Inc.
9.12. Granular, Inc.
Chapter 10. Appendix
10.1. About Us
10.2. Glossary of Terms
10.3. Disclaimer
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
Chapter 4. Market Outlook
4.1. Market Dynamics
4.1.1. Market Drivers
4.1.2. Market Restraints
4.1.3. Market Opportunities
4.2. Porter’s Analysis
4.3. Value Chain Analysis
4.4. Covid-19 Impact Analysis on Market
Chapter 5. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Type
5.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Type 2019-2027
5.2. Machine Learning
5.3. Computer Vision
5.4. Predictive Analytics
Chapter 6. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Application
6.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Application 2019-2027
6.2. Precision Farming
6.3. Agriculture Robots
6.4. Livestock Monitoring
6.5. Drone Analytics
6.6. Labor Management
6.7. Others
Chapter 7. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market Industry, By Region
7.1. Covid-19 Impact Analysis on Artificial Intelligence in Agriculture Market, By Region 2019-2027
7.1.1. North America
7.1.1.1. U.S
7.1.1.1. Canada
7.1.1.2. Mexico
7.1.2. Europe
7.1.2.1. U.K.
7.1.2.2. Germany
7.1.2.3. France
7.1.2.4. Rest of the Europe
7.1.3. Middle East & Africa (MEA)
7.1.3.1. GCC
7.1.3.2. North Africa
7.1.3.3. South Africa
7.1.3.4. Rest of MEA
7.1.4. Latin America (LATAM)
7.1.4.1. Brazil
7.1.4.2. Rest of LATAM
7.1.5. Asia Pacific (APAC)
7.1.5.1. India
7.1.5.2. China
7.1.5.3. Japan
7.1.5.4. Rest of the APAC
Chapter 8. Competitive Landscape
8.1.1. Key Strategies Adopted by Players
8.1.2. Market Share/Positioning Analysis
Chapter 9. Company Profiles
9.1. International Business Machines Corp. (IBM)
9.1.1. Company Overview
9.1.2. Application Offerings
9.1.3. Financial Performance
9.1.4. Recent Initiatives
9.2. Deere & Company
9.3. Microsoft Corporation
9.4. Farmers Edge Inc
9.5. The Climate Corporation
9.6. ec2ce
9.7. Descartes Labs, Inc.
9.8. AgEagle Aerial Systems
9.9. aWhere Inc.
9.10. Gamaya Inc.
9.11. Precision Hawk Inc.
9.12. Granular, Inc.
Chapter 10. Appendix
10.1. About Us
10.2. Glossary of Terms
10.3. Disclaimer
1. International Business Machines Corp. (IBM)
2. Deere & Company
3. Microsoft Corporation
4. Farmers Edge Inc
5. The Climate Corporation
6. ec2ce
7. Descartes Labs, Inc.
8. AgEagle Aerial Systems
9. aWhere Inc.
10. Gamaya Inc.
11. Precision Hawk Inc.
12. Granular, Inc.
13. Prospera Technologies
14. Cainthus Corporation
15. Taranis
16. Resson Inc.
2. Deere & Company
3. Microsoft Corporation
4. Farmers Edge Inc
5. The Climate Corporation
6. ec2ce
7. Descartes Labs, Inc.
8. AgEagle Aerial Systems
9. aWhere Inc.
10. Gamaya Inc.
11. Precision Hawk Inc.
12. Granular, Inc.
13. Prospera Technologies
14. Cainthus Corporation
15. Taranis
16. Resson Inc.
1. This report provides in depth analysis for changing competitive dynamics and keeps you ahead of competitors
2. Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market
3. It provides a forward looking perspective on different factors driving or restraining market growth
4. It provides an eight-year forecast assessed on the basis of how the market is expected to grow
5. It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of various market segment
6. Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
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