Global Artificial Intelligence AI in Agriculture Market Size was estimated at USD 9089.7458202 million in 2022 and is projected to reach USD 64386.1841619321 million by 2028, exhibiting a CAGR of 38.58% during the forecast period.
Global Artificial Intelligence AI in Agriculture Market Overview:
Global Artificial Intelligence AI in Agriculture Market Report 2022 comes with the extensive industry analysis development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2022-2028.This research study of Artificial Intelligence AI in Agriculture involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence AI in Agriculture Market
The Artificial Intelligence AI in Agriculture Market Research report incorporate value chain analysis for each of the product type. Value chain analysis offers in depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence AI in Agriculture Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence AI in Agriculture Market helps user to make precise decision in order to expand their market presence and increase market share.
Impact of COVID-19 on Artificial Intelligence AI in Agriculture Market
Report covers Impact of Coronavirus COVID-19: Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost every country around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Artificial Intelligence AI in Agriculture market in 2020. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor/outdoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
Global Artificial Intelligence AI in Agriculture Market Segmentation
Global Artificial Intelligence AI in Agriculture Market Research report comprises of Porter's five forces analysis to do the detail study about its each segmentation like Product segmentation, End user/application segment analysis and Major key players analysis mentioned as below;
By Type, Artificial Intelligence AI in Agriculture market has been segmented into:
Machine Learning
Computer Vision
Predictive Analytics
Artificial Intelligence (AI)
By Application, Artificial Intelligence AI in Agriculture market has been segmented into:
Precision Farming
Livestock Monitoring
Drone Analytics
Agriculture Robots
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence AI in Agriculture market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence AI in Agriculture market.
Top Key Players Covered in Artificial Intelligence AI in Agriculture market are:
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
Objective to buy this Report:
1. Artificial Intelligence AI in Agriculture analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Artificial Intelligence AI in Agriculture market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction 1.1 Research Objectives 1.2 Research Methodology 1.3 Research Process 1.4 Scope and Coverage 1.4.1 Market Definition 1.4.2 Key Questions Answered 1.5 Market Segmentation Chapter 2:Executive Summary Chapter 3:Growth Opportunities By Segment 3.1 By Type 3.2 By Application Chapter 4: Market Landscape 4.1 Porter's Five Forces Analysis 4.1.1 Bargaining Power of Supplier 4.1.2 Threat of New Entrants 4.1.3 Threat of Substitutes 4.1.4 Competitive Rivalry 4.1.5 Bargaining Power Among Buyers 4.2 Industry Value Chain Analysis 4.3 Market Dynamics 4.3.1 Drivers 4.3.2 Restraints 4.3.3 Opportunities 4.5.4 Challenges 4.4 Pestle Analysis 4.5 Technological Roadmap 4.6 Regulatory Landscape 4.7 SWOT Analysis 4.8 Price Trend Analysis 4.9 Patent Analysis 4.10 Analysis of the Impact of Covid-19 4.10.1 Impact on the Overall Market 4.10.2 Impact on the Supply Chain 4.10.3 Impact on the Key Manufacturers 4.10.4 Impact on the Pricing Chapter 5: Artificial Intelligence AI in Agriculture Market by Type 5.1 Artificial Intelligence AI in Agriculture Market Overview Snapshot and Growth Engine 5.2 Artificial Intelligence AI in Agriculture Market Overview 5.3 Machine Learning 5.3.1 Introduction and Market Overview 5.3.2 Historic and Forecasted Market Size (2016-2028F) 5.3.3 Key Market Trends, Growth Factors and Opportunities 5.3.4 Machine Learning: Geographic Segmentation 5.4 Computer Vision 5.4.1 Introduction and Market Overview 5.4.2 Historic and Forecasted Market Size (2016-2028F) 5.4.3 Key Market Trends, Growth Factors and Opportunities 5.4.4 Computer Vision: Geographic Segmentation 5.5 Predictive Analytics 5.5.1 Introduction and Market Overview 5.5.2 Historic and Forecasted Market Size (2016-2028F) 5.5.3 Key Market Trends, Growth Factors and Opportunities 5.5.4 Predictive Analytics: Geographic Segmentation 5.6 Artificial Intelligence (AI) 5.6.1 Introduction and Market Overview 5.6.2 Historic and Forecasted Market Size (2016-2028F) 5.6.3 Key Market Trends, Growth Factors and Opportunities 5.6.4 Artificial Intelligence (AI): Geographic Segmentation Chapter 6: Artificial Intelligence AI in Agriculture Market by Application 6.1 Artificial Intelligence AI in Agriculture Market Overview Snapshot and Growth Engine 6.2 Artificial Intelligence AI in Agriculture Market Overview 6.3 Precision Farming 6.3.1 Introduction and Market Overview 6.3.2 Historic and Forecasted Market Size (2016-2028F) 6.3.3 Key Market Trends, Growth Factors and Opportunities 6.3.4 Precision Farming: Geographic Segmentation 6.4 Livestock Monitoring 6.4.1 Introduction and Market Overview 6.4.2 Historic and Forecasted Market Size (2016-2028F) 6.4.3 Key Market Trends, Growth Factors and Opportunities 6.4.4 Livestock Monitoring: Geographic Segmentation 6.5 Drone Analytics 6.5.1 Introduction and Market Overview 6.5.2 Historic and Forecasted Market Size (2016-2028F) 6.5.3 Key Market Trends, Growth Factors and Opportunities 6.5.4 Drone Analytics: Geographic Segmentation 6.6 Agriculture Robots 6.6.1 Introduction and Market Overview 6.6.2 Historic and Forecasted Market Size (2016-2028F) 6.6.3 Key Market Trends, Growth Factors and Opportunities 6.6.4 Agriculture Robots: Geographic Segmentation 6.7 Others 6.7.1 Introduction and Market Overview 6.7.2 Historic and Forecasted Market Size (2016-2028F) 6.7.3 Key Market Trends, Growth Factors and Opportunities 6.7.4 Others: Geographic Segmentation Chapter 7: Company Profiles and Competitive Analysis 7.1 Competitive Landscape 7.1.1 Competitive Positioning 7.1.2 Artificial Intelligence AI in Agriculture Sales and Market Share By Players 7.1.3 Industry BCG Matrix 7.1.4 Heat Map Analysis 7.1.5 Artificial Intelligence AI in Agriculture Industry Concentration Ratio (CR5 and HHI) 7.1.6 Top 5 Artificial Intelligence AI in Agriculture Players Market Share 7.1.7 Mergers and Acquisitions 7.1.8 Business Strategies By Top Players 7.2 IBM 7.2.1 Company Overview 7.2.2 Key Executives 7.2.3 Company Snapshot 7.2.4 Operating Business Segments 7.2.5 Product Portfolio 7.2.6 Business Performance 7.2.7 Key Strategic Moves and Recent Developments 7.2.8 SWOT Analysis 7.3 INTEL 7.4 MICROSOFT 7.5 SAP 7.6 AGRIBOTIX 7.7 THE CLIMATE CORPORATION 7.8 MAVRX 7.9 AWHERE 7.10 PRECISION HAWK 7.11 GRANULAR 7.12 PROSPERA TECHNOLOGIES 7.13 SPENSA TECHNOLOGIES 7.14 RESSON 7.15 VISION ROBOTICS 7.16 HARVEST CROO ROBOTICS 7.17 CROPX 7.18 JOHN DEERE 7.19 GAMAYA 7.20 CAINTHUS Chapter 8: Global Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 8.1 Market Overview 8.2 Historic and Forecasted Market Size By Type 8.2.1 Machine Learning 8.2.2 Computer Vision 8.2.3 Predictive Analytics 8.2.4 Artificial Intelligence (AI) 8.3 Historic and Forecasted Market Size By Application 8.3.1 Precision Farming 8.3.2 Livestock Monitoring 8.3.3 Drone Analytics 8.3.4 Agriculture Robots 8.3.5 Others Chapter 9: North America Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 9.1 Key Market Trends, Growth Factors and Opportunities 9.2 Impact of Covid-19 9.3 Key Players 9.4 Key Market Trends, Growth Factors and Opportunities 9.4 Historic and Forecasted Market Size By Type 9.4.1 Machine Learning 9.4.2 Computer Vision 9.4.3 Predictive Analytics 9.4.4 Artificial Intelligence (AI) 9.5 Historic and Forecasted Market Size By Application 9.5.1 Precision Farming 9.5.2 Livestock Monitoring 9.5.3 Drone Analytics 9.5.4 Agriculture Robots 9.5.5 Others 9.6 Historic and Forecast Market Size by Country 9.6.1 U.S. 9.6.2 Canada 9.6.3 Mexico Chapter 10: Europe Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 10.1 Key Market Trends, Growth Factors and Opportunities 10.2 Impact of Covid-19 10.3 Key Players 10.4 Key Market Trends, Growth Factors and Opportunities 10.4 Historic and Forecasted Market Size By Type 10.4.1 Machine Learning 10.4.2 Computer Vision 10.4.3 Predictive Analytics 10.4.4 Artificial Intelligence (AI) 10.5 Historic and Forecasted Market Size By Application 10.5.1 Precision Farming 10.5.2 Livestock Monitoring 10.5.3 Drone Analytics 10.5.4 Agriculture Robots 10.5.5 Others 10.6 Historic and Forecast Market Size by Country 10.6.1 Germany 10.6.2 U.K. 10.6.3 France 10.6.4 Italy 10.6.5 Russia 10.6.6 Spain 10.6.7 Rest of Europe Chapter 11: Asia-Pacific Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 11.1 Key Market Trends, Growth Factors and Opportunities 11.2 Impact of Covid-19 11.3 Key Players 11.4 Key Market Trends, Growth Factors and Opportunities 11.4 Historic and Forecasted Market Size By Type 11.4.1 Machine Learning 11.4.2 Computer Vision 11.4.3 Predictive Analytics 11.4.4 Artificial Intelligence (AI) 11.5 Historic and Forecasted Market Size By Application 11.5.1 Precision Farming 11.5.2 Livestock Monitoring 11.5.3 Drone Analytics 11.5.4 Agriculture Robots 11.5.5 Others 11.6 Historic and Forecast Market Size by Country 11.6.1 China 11.6.2 India 11.6.3 Japan 11.6.4 Singapore 11.6.5 Australia 11.6.6 New Zealand 11.6.7 Rest of APAC Chapter 12: Middle East & Africa Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 12.1 Key Market Trends, Growth Factors and Opportunities 12.2 Impact of Covid-19 12.3 Key Players 12.4 Key Market Trends, Growth Factors and Opportunities 12.4 Historic and Forecasted Market Size By Type 12.4.1 Machine Learning 12.4.2 Computer Vision 12.4.3 Predictive Analytics 12.4.4 Artificial Intelligence (AI) 12.5 Historic and Forecasted Market Size By Application 12.5.1 Precision Farming 12.5.2 Livestock Monitoring 12.5.3 Drone Analytics 12.5.4 Agriculture Robots 12.5.5 Others 12.6 Historic and Forecast Market Size by Country 12.6.1 Turkey 12.6.2 Saudi Arabia 12.6.3 Iran 12.6.4 UAE 12.6.5 Africa 12.6.6 Rest of MEA Chapter 13: South America Artificial Intelligence AI in Agriculture Market Analysis, Insights and Forecast, 2016-2028 13.1 Key Market Trends, Growth Factors and Opportunities 13.2 Impact of Covid-19 13.3 Key Players 13.4 Key Market Trends, Growth Factors and Opportunities 13.4 Historic and Forecasted Market Size By Type 13.4.1 Machine Learning 13.4.2 Computer Vision 13.4.3 Predictive Analytics 13.4.4 Artificial Intelligence (AI) 13.5 Historic and Forecasted Market Size By Application 13.5.1 Precision Farming 13.5.2 Livestock Monitoring 13.5.3 Drone Analytics 13.5.4 Agriculture Robots 13.5.5 Others 13.6 Historic and Forecast Market Size by Country 13.6.1 Brazil 13.6.2 Argentina 13.6.3 Rest of SA Chapter 14 Investment Analysis Chapter 15 Analyst Viewpoint and Conclusion
Publisher: Introspective Market Research
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Global Artificial Intelligence AI in Agriculture Market Size was estimated at USD 9089.7458202 million in 2022 and is projected to reach USD 64386.1841619321 million by 2028.
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
North America,Europe,Asia-Pacific,South America,Middle East & Africa