AI in Agriculture Market Synopsis

The Global Market for Artificial Intelligence (AI) In Agriculture Was Estimated at USD 2.20 Billion In the Year 2022, Is Projected to Reach A Revised Size of USD 11.01 Billion By 2030, Growing at A CAGR of 22.3% Over the Forecast Period 2023-2030.

Artificial Intelligence has become one of the most important technologies in every sector, including education, banking, robotics, agriculture, etc. In the agriculture sector, it is playing a very crucial role, and it is transforming the agriculture industry. Artificial Intelligence has improved crop production and real-time monitoring, harvesting, processing, and marketing.

• AI is widely used in this sector. For agriculture, Artificial Intelligence has become a revolutionary technology. It helps the farmers by yielding healthier crops, controlling pests, soil monitoring, and many more ways. The industry is turning to Artificial Intelligence technologies to help yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain.
• Different hi-tech computer-based systems are designed to determine various important parameters such as weed detection, yield detection, crop quality, and many more. AI has come up with a new application called Plantix. It was developed by PEAT to identify deficiencies in soil, including plant pests and diseases. With the help of this application, farmers can get an idea to use better fertilizer which can improve the harvest quality.
• With AI sensors, weed can be detected easily, and it also detects weed-affected areas. On finding such areas, herbicides can be precisely sprayed to reduce the use of herbicides and also saves time and crop. Different AI companies are building robots with AI and computer vision, which can precisely spray on weeds. The use of AI sprayers can widely reduce the number of chemicals to be used on fields, hence improving the quality of crops and also saving money. With help of Artificial Intelligence farmers can analyze weather conditions by using weather forecasting.
• Robotics is being widely used in different sectors, mainly in manufacturing, to perform complex tasks. Nowadays, different AI companies are developing robots to be employed in the Agriculture sector. These AI robots are developed in such a way that they can perform multiple tasks in farming.

AI In Agriculture Market Trend Analysis

Shortage of Labor Driving the Demand For AI

• There has always been an issue of labor shortage in the agriculture industry. AI can solve this issue with automation in farming. With AI and automation, farmers can get work done without having more people, and some examples are Driverless tractors.
• Smart irrigation and fertilizing systems, smart spraying, vertical farming software, and AI-based robots for harvesting. AI-driven machines and equipment are much faster and more accurate compared to human farmhands.
• The downturn is fueling trends toward automated farming operations because of a lack of qualified workers, aging farmers, and younger generations who don't find farming appealing.
• The developed world is not immune to this downward trend. The agricultural sector in Asia and the Pacific is experiencing a severe labor shortage due to an aging population. The market for artificial intelligence in agriculture is projected to flourish in the following years. ​

Increasing the Adoption of AI Solutions in Agriculture

• Climate change has made it difficult for farmers to determine the right time for sowing seeds, and that’s where AI comes into the picture. With the help of artificial intelligence, it is easy to gain insight into how weather, seasonal sunlight, wind speed, and rain will affect crop planting cycles.
• Technologies such as AI have the potential to anonymize data while helping to uncover insight that creates new opportunities. Farmers will no longer have to be worried about relinquishing their IP, which will encourage greater collaboration and ultimately growth.
• There is an opportunity for solution providers to concentrate on farms with less than 5 hectares of land because governments all over the world support the use of AI for agricultural applications and help farmers with small farms. For instance, the US Department of Agriculture offers small and mid-size producers’ programs that make easy loans available to farmers and enhance their technological know-how so they can use the best farming technology. Thus, the increasing adoption of AI solutions in agriculture is creating opportunities for AI in Agriculture Market.

Segmentation Analysis of The AI in Agriculture Market

AI in the Agriculture Market segments covers the Type, Technology, Deployment, Application, and end-users. By Application, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.

• Today, mobile apps, smart sensors, drones, and cloud computing make precision agriculture possible for farming cooperatives and even small family farms.
• Precision farming enables farmers to reduce costs and maximize available resources. For precision farming, digital data is gathered, interpreted, and analyzed by automated intelligence. Precision farming applications focus on increasing farm output because of the growing population and the need for better food quality which drives precision farming.
• Precision Agriculture leverages advanced digital technologies and will play a significant role in the third modern farming revolution. It effectively minimizes inputs, labor, and time sustainably, maximizes productivity and profitability, ensures sustainability, and reduces environmental impact. The Netherlands is a country known for advanced initiatives in precision farming
• Both big and small farmers and organizations working with growers benefit by adopting precision and digital farming technologies, which help to optimize agri-input resources without adding costs or workload.

Regional Analysis of The AI In Agriculture Market

North America is Expected to Dominate the Market Over the Forecast period.

• The North American economy is characterized by rising disposable income, ongoing funding for automation, significant investments in the Internet of Things, and an increasing focus on domestic AI equipment development by governments.
• The region has a thriving artificial intelligence market and a leading industrial automation sector. The population's increased purchasing power, ongoing increases in automation, large investments in the IoT, and growing government attention on domestic AI equipment production are all characteristics of North America.
• The presence of various agricultural technology companies looking into AI-based solutions, such as IBM Corporation, Deere & Company, Microsoft, Granular, Inc., and The Climate Corporation, is also advantageous to the market.      

Covid-19 Impact Analysis on AI In Agriculture Market

The rise and spread of the coronavirus pandemic (COVID-19) have created an imbalance in all sectors worldwide and disrupted the global economy. Developed countries utilize highly sophisticated mechanized equipment for the cultivation of crops like wheat, rice, maize, and other vegetables. These types of machinery can be used for different activities like land development, irrigation, planting, and sowing, due to labor-intensive farming during the pandemic period. Many staple crops had not been cultivated due to lockdown situations, Computing techniques can allow digital tools like artificial intelligence (AI), machine learning (ML), and deep learning to process large amounts of data in a short period for faster speed to market. However, the need for AI is to increase the value of such digital technologies for better reach and an efficient supply chain.

Top Key Players Covered in The AI In Agriculture Market

• Deere & Company(US)
• IBM Corporation (US)
• Microsoft Corporation (US)
• The Climate Corporation (US)
• Farmers Edge Inc. (Canada)
• Hewlett Packard Enterprise Development LP (US)
• Cisco Systems Inc. (US)
• Google LLC (US)
• Amazon Web Services Inc (US)
• Corteva Inc (US)
• AgEagle Aerial Systems Inc. (US)
• Descartes Labs Inc. (US) and Other Major Players.

Key Industry Developments in the AI in Agriculture Market

In January 2022, Climate FieldView™, Bayer’s flagship digital farming product, focuses on helping farmers and their trusted business partners work together through digital tools and use data to drive decisions. New FieldView capabilities and an ongoing commitment with Precision Planting to enhance user experience will benefit customers

In December 2022, Corteva Agriscience announced a collaboration with NEVONEX, powered by Bosch, to explore the precision application of crop protection products using on-farm data, advanced analytics, and spray equipment. The collaboration intends to create value for farmers by enabling data-driven crop protection applications with standard machine spray technology.

In February 2021, DroneDeploy, a leading enterprise drone data platform, announced a partnership with Corteva Agriscience, one of the largest pure-play agricultural organizations in the world, to help farmers make better management decisions throughout the year. One of the largest fleets of agricultural drones in the world is managed by Corteva, assisting farmers in planting and harvesting crops effectively, safely, and sustainably.

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 By Type
 3.2 By Technology
 3.3 By Deployment
 3.4 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: AI in Agriculture Market by By Type
 5.1 AI in Agriculture Market Overview Snapshot and Growth Engine
 5.2 AI in Agriculture Market Overview
 5.3 Solution
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2030F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Solution: Geographic Segmentation
 5.4 Service
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2030F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Service: Geographic Segmentation

Chapter 6: AI in Agriculture Market by Technology
 6.1 AI in Agriculture Market Overview Snapshot and Growth Engine
 6.2 AI in Agriculture Market Overview
 6.3 Machine Learning
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2030F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Machine Learning: Geographic Segmentation
 6.4 Computer Vision
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2030F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Computer Vision: Geographic Segmentation
 6.5 and Predictive Analytics
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size (2016-2030F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 and Predictive Analytics: Geographic Segmentation

Chapter 7: AI in Agriculture Market by Deployment
 7.1 AI in Agriculture Market Overview Snapshot and Growth Engine
 7.2 AI in Agriculture Market Overview
 7.3 Cloud
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2030F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Cloud: Geographic Segmentation
 7.4 On-premise
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2030F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 On-premise: Geographic Segmentation
 7.5 Hybrid
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2016-2030F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Hybrid: Geographic Segmentation

Chapter 8: AI in Agriculture Market by Application
 8.1 AI in Agriculture Market Overview Snapshot and Growth Engine
 8.2 AI in Agriculture Market Overview
 8.3 Weather Tracking
  8.3.1 Introduction and Market Overview
  8.3.2 Historic and Forecasted Market Size (2016-2030F)
  8.3.3 Key Market Trends, Growth Factors and Opportunities
  8.3.4 Weather Tracking: Geographic Segmentation
 8.4 Precision Farming
  8.4.1 Introduction and Market Overview
  8.4.2 Historic and Forecasted Market Size (2016-2030F)
  8.4.3 Key Market Trends, Growth Factors and Opportunities
  8.4.4 Precision Farming: Geographic Segmentation
 8.5 Drone Analytics
  8.5.1 Introduction and Market Overview
  8.5.2 Historic and Forecasted Market Size (2016-2030F)
  8.5.3 Key Market Trends, Growth Factors and Opportunities
  8.5.4 Drone Analytics: Geographic Segmentation

Chapter 9: Company Profiles and Competitive Analysis
 9.1 Competitive Landscape
  9.1.1 Competitive Positioning
  9.1.2 AI in Agriculture Sales and Market Share By Players
  9.1.3 Industry BCG Matrix
  9.1.4 Heat Map Analysis
  9.1.5 AI in Agriculture Industry Concentration Ratio (CR5 and HHI)
  9.1.6 Top 5 AI in Agriculture Players Market Share
  9.1.7 Mergers and Acquisitions
  9.1.8 Business Strategies By Top Players
 9.2 DEERE & COMPANY (US)
  9.2.1 Company Overview
  9.2.2 Key Executives
  9.2.3 Company Snapshot
  9.2.4 Operating Business Segments
  9.2.5 Product Portfolio
  9.2.6 Business Performance
  9.2.7 Key Strategic Moves and Recent Developments
  9.2.8 SWOT Analysis
 9.3 IBM CORPORATION (US)
 9.4 MICROSOFT CORPORATION (US)
 9.5 THE CLIMATE CORPORATION (US)
 9.6 FARMERS EDGE INC. (CANADA)
 9.7 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (US)
 9.8 CISCO SYSTEMS INC. (US)
 9.9 GOOGLE LLC (US)
 9.10 AMAZON WEB SERVICES INC (US)
 9.11 CORTEVA
 9.12 INC (US)
 9.13 AGEAGLE AERIAL SYSTEMS INC. (US)
 9.14 DESCARTES LABS INC. (US)
 9.15 OTHER
MAJOR PLAYERS

Chapter 10: Global AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 10.1 Market Overview
 10.2 Historic and Forecasted Market Size By By Type
  10.2.1 Solution
  10.2.2 Service
 10.3 Historic and Forecasted Market Size By Technology
  10.3.1 Machine Learning
  10.3.2 Computer Vision
  10.3.3 and Predictive Analytics
 10.4 Historic and Forecasted Market Size By Deployment
  10.4.1 Cloud
  10.4.2 On-premise
  10.4.3 Hybrid
 10.5 Historic and Forecasted Market Size By Application
  10.5.1 Weather Tracking
  10.5.2 Precision Farming
  10.5.3 Drone Analytics

Chapter 11: North America AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 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 By Type
  11.4.1 Solution
  11.4.2 Service
 11.5 Historic and Forecasted Market Size By Technology
  11.5.1 Machine Learning
  11.5.2 Computer Vision
  11.5.3 and Predictive Analytics
 11.6 Historic and Forecasted Market Size By Deployment
  11.6.1 Cloud
  11.6.2 On-premise
  11.6.3 Hybrid
 11.7 Historic and Forecasted Market Size By Application
  11.7.1 Weather Tracking
  11.7.2 Precision Farming
  11.7.3 Drone Analytics
 11.8 Historic and Forecast Market Size by Country
  11.8.1 US
  11.8.2 Canada
  11.8.3 Mexico

Chapter 12: Eastern Europe AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 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 By Type
  12.4.1 Solution
  12.4.2 Service
 12.5 Historic and Forecasted Market Size By Technology
  12.5.1 Machine Learning
  12.5.2 Computer Vision
  12.5.3 and Predictive Analytics
 12.6 Historic and Forecasted Market Size By Deployment
  12.6.1 Cloud
  12.6.2 On-premise
  12.6.3 Hybrid
 12.7 Historic and Forecasted Market Size By Application
  12.7.1 Weather Tracking
  12.7.2 Precision Farming
  12.7.3 Drone Analytics
 12.8 Historic and Forecast Market Size by Country
  12.8.1 Bulgaria
  12.8.2 The Czech Republic
  12.8.3 Hungary
  12.8.4 Poland
  12.8.5 Romania
  12.8.6 Rest of Eastern Europe

Chapter 13: Western Europe AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 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 By Type
  13.4.1 Solution
  13.4.2 Service
 13.5 Historic and Forecasted Market Size By Technology
  13.5.1 Machine Learning
  13.5.2 Computer Vision
  13.5.3 and Predictive Analytics
 13.6 Historic and Forecasted Market Size By Deployment
  13.6.1 Cloud
  13.6.2 On-premise
  13.6.3 Hybrid
 13.7 Historic and Forecasted Market Size By Application
  13.7.1 Weather Tracking
  13.7.2 Precision Farming
  13.7.3 Drone Analytics
 13.8 Historic and Forecast Market Size by Country
  13.8.1 Germany
  13.8.2 UK
  13.8.3 France
  13.8.4 Netherlands
  13.8.5 Italy
  13.8.6 Russia
  13.8.7 Spain
  13.8.8 Rest of Western Europe

Chapter 14: Asia Pacific AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By By Type
  14.4.1 Solution
  14.4.2 Service
 14.5 Historic and Forecasted Market Size By Technology
  14.5.1 Machine Learning
  14.5.2 Computer Vision
  14.5.3 and Predictive Analytics
 14.6 Historic and Forecasted Market Size By Deployment
  14.6.1 Cloud
  14.6.2 On-premise
  14.6.3 Hybrid
 14.7 Historic and Forecasted Market Size By Application
  14.7.1 Weather Tracking
  14.7.2 Precision Farming
  14.7.3 Drone Analytics
 14.8 Historic and Forecast Market Size by Country
  14.8.1 China
  14.8.2 India
  14.8.3 Japan
  14.8.4 South Korea
  14.8.5 Malaysia
  14.8.6 Thailand
  14.8.7 Vietnam
  14.8.8 The Philippines
  14.8.9 Australia
  14.8.10 New Zealand
  14.8.11 Rest of APAC

Chapter 15: Middle East & Africa AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 15.1 Key Market Trends, Growth Factors and Opportunities
 15.2 Impact of Covid-19
 15.3 Key Players
 15.4 Key Market Trends, Growth Factors and Opportunities
 15.4 Historic and Forecasted Market Size By By Type
  15.4.1 Solution
  15.4.2 Service
 15.5 Historic and Forecasted Market Size By Technology
  15.5.1 Machine Learning
  15.5.2 Computer Vision
  15.5.3 and Predictive Analytics
 15.6 Historic and Forecasted Market Size By Deployment
  15.6.1 Cloud
  15.6.2 On-premise
  15.6.3 Hybrid
 15.7 Historic and Forecasted Market Size By Application
  15.7.1 Weather Tracking
  15.7.2 Precision Farming
  15.7.3 Drone Analytics
 15.8 Historic and Forecast Market Size by Country
  15.8.1 Turkey
  15.8.2 Bahrain
  15.8.3 Kuwait
  15.8.4 Saudi Arabia
  15.8.5 Qatar
  15.8.6 UAE
  15.8.7 Israel
  15.8.8 South Africa

Chapter 16: South America AI in Agriculture Market Analysis, Insights and Forecast, 2016-2030
 16.1 Key Market Trends, Growth Factors and Opportunities
 16.2 Impact of Covid-19
 16.3 Key Players
 16.4 Key Market Trends, Growth Factors and Opportunities
 16.4 Historic and Forecasted Market Size By By Type
  16.4.1 Solution
  16.4.2 Service
 16.5 Historic and Forecasted Market Size By Technology
  16.5.1 Machine Learning
  16.5.2 Computer Vision
  16.5.3 and Predictive Analytics
 16.6 Historic and Forecasted Market Size By Deployment
  16.6.1 Cloud
  16.6.2 On-premise
  16.6.3 Hybrid
 16.7 Historic and Forecasted Market Size By Application
  16.7.1 Weather Tracking
  16.7.2 Precision Farming
  16.7.3 Drone Analytics
 16.8 Historic and Forecast Market Size by Country
  16.8.1 Brazil
  16.8.2 Argentina
  16.8.3 Rest of SA

Chapter 17 Investment Analysis

Chapter 18 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. AI IN AGRICULTURE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. AI IN AGRICULTURE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. AI IN AGRICULTURE MARKET COMPETITIVE RIVALRY
TABLE 005. AI IN AGRICULTURE MARKET THREAT OF NEW ENTRANTS
TABLE 006. AI IN AGRICULTURE MARKET THREAT OF SUBSTITUTES
TABLE 007. AI IN AGRICULTURE MARKET BY BY TYPE
TABLE 008. SOLUTION MARKET OVERVIEW (2016-2030)
TABLE 009. SERVICE MARKET OVERVIEW (2016-2030)
TABLE 010. AI IN AGRICULTURE MARKET BY TECHNOLOGY
TABLE 011. MACHINE LEARNING MARKET OVERVIEW (2016-2030)
TABLE 012. COMPUTER VISION MARKET OVERVIEW (2016-2030)
TABLE 013. AND PREDICTIVE ANALYTICS MARKET OVERVIEW (2016-2030)
TABLE 014. AI IN AGRICULTURE MARKET BY DEPLOYMENT
TABLE 015. CLOUD MARKET OVERVIEW (2016-2030)
TABLE 016. ON-PREMISE MARKET OVERVIEW (2016-2030)
TABLE 017. HYBRID MARKET OVERVIEW (2016-2030)
TABLE 018. AI IN AGRICULTURE MARKET BY APPLICATION
TABLE 019. WEATHER TRACKING MARKET OVERVIEW (2016-2030)
TABLE 020. PRECISION FARMING MARKET OVERVIEW (2016-2030)
TABLE 021. DRONE ANALYTICS MARKET OVERVIEW (2016-2030)
TABLE 022. NORTH AMERICA AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 023. NORTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 024. NORTH AMERICA AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 025. NORTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 026. N AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 027. EASTERN EUROPE AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 028. EASTERN EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 029. EASTERN EUROPE AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 030. EASTERN EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 031. AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 032. WESTERN EUROPE AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 033. WESTERN EUROPE AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 034. WESTERN EUROPE AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 035. WESTERN EUROPE AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 036. AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 037. ASIA PACIFIC AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 038. ASIA PACIFIC AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 039. ASIA PACIFIC AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 040. ASIA PACIFIC AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 041. AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 042. MIDDLE EAST & AFRICA AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 043. MIDDLE EAST & AFRICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 044. MIDDLE EAST & AFRICA AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 045. MIDDLE EAST & AFRICA AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 046. AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 047. SOUTH AMERICA AI IN AGRICULTURE MARKET, BY BY TYPE (2016-2030)
TABLE 048. SOUTH AMERICA AI IN AGRICULTURE MARKET, BY TECHNOLOGY (2016-2030)
TABLE 049. SOUTH AMERICA AI IN AGRICULTURE MARKET, BY DEPLOYMENT (2016-2030)
TABLE 050. SOUTH AMERICA AI IN AGRICULTURE MARKET, BY APPLICATION (2016-2030)
TABLE 051. AI IN AGRICULTURE MARKET, BY COUNTRY (2016-2030)
TABLE 052. DEERE & COMPANY (US): SNAPSHOT
TABLE 053. DEERE & COMPANY (US): BUSINESS PERFORMANCE
TABLE 054. DEERE & COMPANY (US): PRODUCT PORTFOLIO
TABLE 055. DEERE & COMPANY (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 055. IBM CORPORATION (US): SNAPSHOT
TABLE 056. IBM CORPORATION (US): BUSINESS PERFORMANCE
TABLE 057. IBM CORPORATION (US): PRODUCT PORTFOLIO
TABLE 058. IBM CORPORATION (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 058. MICROSOFT CORPORATION (US): SNAPSHOT
TABLE 059. MICROSOFT CORPORATION (US): BUSINESS PERFORMANCE
TABLE 060. MICROSOFT CORPORATION (US): PRODUCT PORTFOLIO
TABLE 061. MICROSOFT CORPORATION (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 061. THE CLIMATE CORPORATION (US): SNAPSHOT
TABLE 062. THE CLIMATE CORPORATION (US): BUSINESS PERFORMANCE
TABLE 063. THE CLIMATE CORPORATION (US): PRODUCT PORTFOLIO
TABLE 064. THE CLIMATE CORPORATION (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 064. FARMERS EDGE INC. (CANADA): SNAPSHOT
TABLE 065. FARMERS EDGE INC. (CANADA): BUSINESS PERFORMANCE
TABLE 066. FARMERS EDGE INC. (CANADA): PRODUCT PORTFOLIO
TABLE 067. FARMERS EDGE INC. (CANADA): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 067. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (US): SNAPSHOT
TABLE 068. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (US): BUSINESS PERFORMANCE
TABLE 069. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (US): PRODUCT PORTFOLIO
TABLE 070. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 070. CISCO SYSTEMS INC. (US): SNAPSHOT
TABLE 071. CISCO SYSTEMS INC. (US): BUSINESS PERFORMANCE
TABLE 072. CISCO SYSTEMS INC. (US): PRODUCT PORTFOLIO
TABLE 073. CISCO SYSTEMS INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 073. GOOGLE LLC (US): SNAPSHOT
TABLE 074. GOOGLE LLC (US): BUSINESS PERFORMANCE
TABLE 075. GOOGLE LLC (US): PRODUCT PORTFOLIO
TABLE 076. GOOGLE LLC (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 076. AMAZON WEB SERVICES INC (US): SNAPSHOT
TABLE 077. AMAZON WEB SERVICES INC (US): BUSINESS PERFORMANCE
TABLE 078. AMAZON WEB SERVICES INC (US): PRODUCT PORTFOLIO
TABLE 079. AMAZON WEB SERVICES INC (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 079. CORTEVA: SNAPSHOT
TABLE 080. CORTEVA: BUSINESS PERFORMANCE
TABLE 081. CORTEVA: PRODUCT PORTFOLIO
TABLE 082. CORTEVA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 082. INC (US): SNAPSHOT
TABLE 083. INC (US): BUSINESS PERFORMANCE
TABLE 084. INC (US): PRODUCT PORTFOLIO
TABLE 085. INC (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 085. AGEAGLE AERIAL SYSTEMS INC. (US): SNAPSHOT
TABLE 086. AGEAGLE AERIAL SYSTEMS INC. (US): BUSINESS PERFORMANCE
TABLE 087. AGEAGLE AERIAL SYSTEMS INC. (US): PRODUCT PORTFOLIO
TABLE 088. AGEAGLE AERIAL SYSTEMS INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 088. DESCARTES LABS INC. (US): SNAPSHOT
TABLE 089. DESCARTES LABS INC. (US): BUSINESS PERFORMANCE
TABLE 090. DESCARTES LABS INC. (US): PRODUCT PORTFOLIO
TABLE 091. DESCARTES LABS INC. (US): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 091. OTHER
MAJOR PLAYERS: SNAPSHOT
TABLE 092. OTHER
MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 093. OTHER
MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 094. OTHER
MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. AI IN AGRICULTURE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. AI IN AGRICULTURE MARKET OVERVIEW BY BY TYPE
FIGURE 012. SOLUTION MARKET OVERVIEW (2016-2030)
FIGURE 013. SERVICE MARKET OVERVIEW (2016-2030)
FIGURE 014. AI IN AGRICULTURE MARKET OVERVIEW BY TECHNOLOGY
FIGURE 015. MACHINE LEARNING MARKET OVERVIEW (2016-2030)
FIGURE 016. COMPUTER VISION MARKET OVERVIEW (2016-2030)
FIGURE 017. AND PREDICTIVE ANALYTICS MARKET OVERVIEW (2016-2030)
FIGURE 018. AI IN AGRICULTURE MARKET OVERVIEW BY DEPLOYMENT
FIGURE 019. CLOUD MARKET OVERVIEW (2016-2030)
FIGURE 020. ON-PREMISE MARKET OVERVIEW (2016-2030)
FIGURE 021. HYBRID MARKET OVERVIEW (2016-2030)
FIGURE 022. AI IN AGRICULTURE MARKET OVERVIEW BY APPLICATION
FIGURE 023. WEATHER TRACKING MARKET OVERVIEW (2016-2030)
FIGURE 024. PRECISION FARMING MARKET OVERVIEW (2016-2030)
FIGURE 025. DRONE ANALYTICS MARKET OVERVIEW (2016-2030)
FIGURE 026. NORTH AMERICA AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)
FIGURE 027. EASTERN EUROPE AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)
FIGURE 028. WESTERN EUROPE AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)
FIGURE 029. ASIA PACIFIC AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)
FIGURE 030. MIDDLE EAST & AFRICA AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)
FIGURE 031. SOUTH AMERICA AI IN AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2030)