Digital Agriculture Market Synopsis

The Global Digital Agriculture Market size is expected to grow from USD 19.99 billion in 2023 to USD 55.61 billion by 2032, at a CAGR of 12.05% during the forecast period (2024-2032).

Digital Agriculture also known as e-agriculture or smart farming is a tool that collects, stores, analyzes, and shares electronic data and information in agriculture digitally. It is the integration of digital technology into crop management and livestock and other processes related to managing food resources and cultivating activities.

• Digital agriculture includes precision agriculture. Unlike precision agriculture, digital agriculture impacts the entire agri-food value chain before, during, or after on-farm production. Therefore, on-farm technologies, like yield mapping, GPS guidance systems, and variable-rate applications, fall under the domain of precision agriculture and digital agriculture.
• Digital technologies involved in e-extension services, e-commerce platforms, warehouse receipt systems, tractor rental apps, blockchain-enabled food traceability systems, etc. fall under the section of digital agriculture.
• By digitizing the operations, farmers can easily fill out the required forms directly from mobile devices. Forms can include captured GPS coordinates, allow for the uploading of videos and photos, and even include digital signature boxes. Agricultural biotechnology is a range of tools, including traditional breeding techniques, that alter living organisms or parts of organisms, to make or modify products, improve plants or animals, or develop microorganisms for specific agricultural uses.
• Digital Agriculture supports and Prevents soil degradation, reduces chemical application in crop production, increases agriculture productivity, Changes the socio-economic status of farmers, and Efficient use of water resources.

The Digital Agriculture Market Trend Analysis

Increasing Awareness of Digital Agriculture’s Benefits

• Rise in the understanding of the public in the ways by which digital agriculture improves and enhances crop yield has contributed to the growth of the Digital Agriculture market of goods and services.
• Farmers rapidly started using digital agriculture technologies to complete the requirement of increasing demand for food which is ultimately the result of the growing global population.
• Many strategic policies for digital agriculture are initiated by the government regarding precision farming encouraging farmers to make use of associated technology. These services are helpful in closing the knowledge gap between academia and industry. These technologies are increasing the use of new and creative technology.
• Farmers are increasing production by making more effective use of resources reducing losses. This is the primary driver driving the market of digital agriculture.

Increasing Pressure for Higher Productivity and Improved Crop Health

• There is constant pressure on the farmers to produce more food and animal feed with lesser amounts of chemicals. At the same time, it is essential to use less energy and labor while improving the management of environmental land and water. With the population growing rapidly, it is becoming very difficult to feed the increasing population, thereby creating high pressure to increase agricultural productivity. The use of software such as precision farming, along with the Internet of Things (IoT) tools, is a solution to all these requirements.
• Precision farming helps farmers know the seeds that have to be planted, the number of fertilizers that need to be applied, the best time to harvest the crops, and the expected output.
• The Digital Agriculture application analyzes five sets of databases, like manure management, livestock, fields, feed, and energy consumption, by analyzing animal productivity (growth, fertility, and marketing age), total annual fuel consumption, feed purchased, manure quantities and management, number of trees and thickets, shrubs, hedges, grass strips, stone piles and stone walls, and water bodies on the farm. Thus, the use of precision farming software, such as AgDNA, MapShots, AgroSense, and others, will help increase crop productivity, thereby improving soil health and driving the requirement for digital agriculture in other regions of the world.

Segmentation Analysis of The Digital Agriculture Market

Digital Agriculture market segments cover the Type, Technology, and Applications. By Type, the Crop Monitoring segment is Anticipated to Dominate the Market Over the Forecast period.

• Crop monitoring allows farmers to rapidly and accurately assess the growth, health, and yield of crops over large areas of land. This help the farmers to make informed decisions about where and when to apply pesticides and fertilizers, as well as where to focus the efforts for the best results.
• The demand for crop monitoring is increasing as their important role in controlling different weeds or pests, or diseases in crops. This is useful to provide the current state of the crop and help the farmer to detect the next issue in the crop.
• Crop monitoring is not only in demand just because of its prevention nature in the production and spread of pests, but also give a guarantee that they are kept under control by applying corrective measure. Also, Crop monitoring helps the farmer manage multiple fields at the same time.

Regional Analysis of The Digital Agriculture Market

Asia Pacific is Expected to Dominate the Market Over the Forecast period.

• Recent years have seen a revolutionary shift in the adoption of smart farming techniques in the Chinese agricultural sector. Although sensor-based technologies, such as Internet of Things (IoT) cellular devices, gear tooth sensor-based irrigation and fertilization equipment, and valve position sensors, among others, are still relatively new in the field, the nation has recently seen a rise in the demand for sensors, largely as a result of the farmers' adoption of more sophisticated agricultural techniques and a higher rate of mechanization.
• China's contribution rate to agricultural science and technology advancement reveals the nation's modernization plan for the sector. The Chinese central government started the "digital village" pilot project in 2020 with the goal of promoting the use of technology to boost domestic consumption and spark a boom in the mobile internet-driven economy. China’s sci-tech departments have made much progress in biotechnology. Also, the government of China has implemented sci-tech programs to aware people of new technologies ed in the agriculture sector.
• Similarly, to this, attempts are being made to digitize the current value chain in response to the growing demand for digitization in Indian agriculture. In order to advance digital agriculture through pilot projects, the Union Minister of Agriculture & Farmers Welfare signed five memorandums of understanding (MoUs) with CISCO, Ninjacart, Jio Platforms Limited, ITC Limited, and NCDEX e-markets Limited (NeML) in September 2021. Many Agriculture mission held in India aims to accelerate and support based on several new technologies.

Top Key Players Covered in The Digital Agriculture Market

• Deere & Company (U.S.)
• IBM Corporation(U.S.)
• CNH Industrial (U.S.)
• Microsoft Corporation (U.S.)
• AGCO Corporation (U.S.)
• Raven Industries (U.S.)
• COFCO International (Switzerland)
• Agrofy (South Africa)
• Eden Farm (Indonesia)
• HummingBird Technologies (England)
• Bayer CropScience (Germany)
• Monsanto (now part of Bayer) (U.S.)
• Trimble Inc. (U.S.)
• Yara International (Norway)
• SST Software (U.S.)
• Taranis (Israel)
• Climate FieldView (U.S.)
• FarmLogs (U.S.)
• Aker Solutions (Norway)
• Cranswick PLC (U.K) and Other Major Key Players.

Key Industry Developments in the Digital Agriculture Market

• In November 2023, John Deere (US) announced the launch of its new Exact Apply RS sprayer, which uses AI and machine learning to adjust application rates on the go. This technology can reduce pesticide and fertilizer use by up to 20%, saving farmers money and protecting the environment.
• In October 2023, IBM Food Trust (US) and Bayer (Germany) partnered to launch a blockchain-powered platform for tracking food provenance and ensuring food safety. This platform will allow consumers to trace the origin of their food and verify its authenticity.

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 Technology
 3.3 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: Digital Agriculture Market by Type
 5.1 Digital Agriculture Market Overview Snapshot and Growth Engine
 5.2 Digital Agriculture Market Overview
 5.3 Crop Monitoring
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Crop Monitoring: Geographic Segmentation
 5.4 Artificial Intelligence
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Artificial Intelligence: Geographic Segmentation
 5.5 Precision Farming
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Precision Farming: Geographic Segmentation

Chapter 6: Digital Agriculture Market by Technology
 6.1 Digital Agriculture Market Overview Snapshot and Growth Engine
 6.2 Digital Agriculture Market Overview
 6.3 Peripheral
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Peripheral: Geographic Segmentation
 6.4 Core
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Core: Geographic Segmentation

Chapter 7: Digital Agriculture Market by Application
 7.1 Digital Agriculture Market Overview Snapshot and Growth Engine
 7.2 Digital Agriculture Market Overview
 7.3 Field Mapping
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2017-2032F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Field Mapping: Geographic Segmentation
 7.4 Crop Scouting
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2017-2032F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Crop Scouting: Geographic Segmentation
 7.5 Weather Tracking
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2017-2032F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Weather Tracking: Geographic Segmentation
 7.6 Drone Analytics
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size (2017-2032F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Drone Analytics: Geographic Segmentation
 7.7 Others
  7.7.1 Introduction and Market Overview
  7.7.2 Historic and Forecasted Market Size (2017-2032F)
  7.7.3 Key Market Trends, Growth Factors and Opportunities
  7.7.4 Others: Geographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Positioning
  8.1.2 Digital Agriculture Sales and Market Share By Players
  8.1.3 Industry BCG Matrix
  8.1.4 Heat Map Analysis
  8.1.5 Digital Agriculture Industry Concentration Ratio (CR5 and HHI)
  8.1.6 Top 5 Digital Agriculture Players Market Share
  8.1.7 Mergers and Acquisitions
  8.1.8 Business Strategies By Top Players
 8.2 DEERE & COMPANY (U.S.)
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Operating Business Segments
  8.2.5 Product Portfolio
  8.2.6 Business Performance
  8.2.7 Key Strategic Moves and Recent Developments
  8.2.8 SWOT Analysis
 8.3 IBM CORPORATION (U.S.)
 8.4 CNH INDUSTRIAL (U.S.)
 8.5 MICROSOFT CORPORATION (U.S.)
 8.6 AGCO CORPORATION (U.S.)
 8.7 RAVEN INDUSTRIES (U.S.)
 8.8 COFCO INTERNATIONAL (SWITZERLAND)
 8.9 AGROFY (SOUTH AFRICA)
 8.10 EDEN FARM (INDONESIA)
 8.11 HUMMINGBIRD TECHNOLOGIES (ENGLAND)
 8.12 CRANSWICK PLC (U.K)
 8.13 OTHER MAJOR PLAYERS.

Chapter 9: Global Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 9.1 Market Overview
 9.2 Historic and Forecasted Market Size By Type
  9.2.1 Crop Monitoring
  9.2.2 Artificial Intelligence
  9.2.3 Precision Farming
 9.3 Historic and Forecasted Market Size By Technology
  9.3.1 Peripheral
  9.3.2 Core
 9.4 Historic and Forecasted Market Size By Application
  9.4.1 Field Mapping
  9.4.2 Crop Scouting
  9.4.3 Weather Tracking
  9.4.4 Drone Analytics
  9.4.5 Others

Chapter 10: North America Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 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 Crop Monitoring
  10.4.2 Artificial Intelligence
  10.4.3 Precision Farming
 10.5 Historic and Forecasted Market Size By Technology
  10.5.1 Peripheral
  10.5.2 Core
 10.6 Historic and Forecasted Market Size By Application
  10.6.1 Field Mapping
  10.6.2 Crop Scouting
  10.6.3 Weather Tracking
  10.6.4 Drone Analytics
  10.6.5 Others
 10.7 Historic and Forecast Market Size by Country
  10.7.1 U.S.
  10.7.2 Canada
  10.7.3 Mexico

Chapter 11: Europe Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 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 Crop Monitoring
  11.4.2 Artificial Intelligence
  11.4.3 Precision Farming
 11.5 Historic and Forecasted Market Size By Technology
  11.5.1 Peripheral
  11.5.2 Core
 11.6 Historic and Forecasted Market Size By Application
  11.6.1 Field Mapping
  11.6.2 Crop Scouting
  11.6.3 Weather Tracking
  11.6.4 Drone Analytics
  11.6.5 Others
 11.7 Historic and Forecast Market Size by Country
  11.7.1 Germany
  11.7.2 U.K.
  11.7.3 France
  11.7.4 Italy
  11.7.5 Russia
  11.7.6 Spain
  11.7.7 Rest of Europe

Chapter 12: Asia-Pacific Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 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 Crop Monitoring
  12.4.2 Artificial Intelligence
  12.4.3 Precision Farming
 12.5 Historic and Forecasted Market Size By Technology
  12.5.1 Peripheral
  12.5.2 Core
 12.6 Historic and Forecasted Market Size By Application
  12.6.1 Field Mapping
  12.6.2 Crop Scouting
  12.6.3 Weather Tracking
  12.6.4 Drone Analytics
  12.6.5 Others
 12.7 Historic and Forecast Market Size by Country
  12.7.1 China
  12.7.2 India
  12.7.3 Japan
  12.7.4 Singapore
  12.7.5 Australia
  12.7.6 New Zealand
  12.7.7 Rest of APAC

Chapter 13: Middle East & Africa Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 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 Crop Monitoring
  13.4.2 Artificial Intelligence
  13.4.3 Precision Farming
 13.5 Historic and Forecasted Market Size By Technology
  13.5.1 Peripheral
  13.5.2 Core
 13.6 Historic and Forecasted Market Size By Application
  13.6.1 Field Mapping
  13.6.2 Crop Scouting
  13.6.3 Weather Tracking
  13.6.4 Drone Analytics
  13.6.5 Others
 13.7 Historic and Forecast Market Size by Country
  13.7.1 Turkey
  13.7.2 Saudi Arabia
  13.7.3 Iran
  13.7.4 UAE
  13.7.5 Africa
  13.7.6 Rest of MEA

Chapter 14: South America Digital Agriculture Market Analysis, Insights and Forecast, 2017-2032
 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 Type
  14.4.1 Crop Monitoring
  14.4.2 Artificial Intelligence
  14.4.3 Precision Farming
 14.5 Historic and Forecasted Market Size By Technology
  14.5.1 Peripheral
  14.5.2 Core
 14.6 Historic and Forecasted Market Size By Application
  14.6.1 Field Mapping
  14.6.2 Crop Scouting
  14.6.3 Weather Tracking
  14.6.4 Drone Analytics
  14.6.5 Others
 14.7 Historic and Forecast Market Size by Country
  14.7.1 Brazil
  14.7.2 Argentina
  14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. DIGITAL AGRICULTURE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. DIGITAL AGRICULTURE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. DIGITAL AGRICULTURE MARKET COMPETITIVE RIVALRY
TABLE 005. DIGITAL AGRICULTURE MARKET THREAT OF NEW ENTRANTS
TABLE 006. DIGITAL AGRICULTURE MARKET THREAT OF SUBSTITUTES
TABLE 007. DIGITAL AGRICULTURE MARKET BY TYPE
TABLE 008. CROP MONITORING MARKET OVERVIEW (2016-2028)
TABLE 009. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW (2016-2028)
TABLE 010. PRECISION FARMING MARKET OVERVIEW (2016-2028)
TABLE 011. DIGITAL AGRICULTURE MARKET BY TECHNOLOGY
TABLE 012. PERIPHERAL MARKET OVERVIEW (2016-2028)
TABLE 013. CORE MARKET OVERVIEW (2016-2028)
TABLE 014. DIGITAL AGRICULTURE MARKET BY APPLICATION
TABLE 015. FIELD MAPPING MARKET OVERVIEW (2016-2028)
TABLE 016. CROP SCOUTING MARKET OVERVIEW (2016-2028)
TABLE 017. WEATHER TRACKING MARKET OVERVIEW (2016-2028)
TABLE 018. DRONE ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 019. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 020. NORTH AMERICA DIGITAL AGRICULTURE MARKET, BY TYPE (2016-2028)
TABLE 021. NORTH AMERICA DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 022. NORTH AMERICA DIGITAL AGRICULTURE MARKET, BY APPLICATION (2016-2028)
TABLE 023. N DIGITAL AGRICULTURE MARKET, BY COUNTRY (2016-2028)
TABLE 024. EUROPE DIGITAL AGRICULTURE MARKET, BY TYPE (2016-2028)
TABLE 025. EUROPE DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 026. EUROPE DIGITAL AGRICULTURE MARKET, BY APPLICATION (2016-2028)
TABLE 027. DIGITAL AGRICULTURE MARKET, BY COUNTRY (2016-2028)
TABLE 028. ASIA PACIFIC DIGITAL AGRICULTURE MARKET, BY TYPE (2016-2028)
TABLE 029. ASIA PACIFIC DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 030. ASIA PACIFIC DIGITAL AGRICULTURE MARKET, BY APPLICATION (2016-2028)
TABLE 031. DIGITAL AGRICULTURE MARKET, BY COUNTRY (2016-2028)
TABLE 032. MIDDLE EAST & AFRICA DIGITAL AGRICULTURE MARKET, BY TYPE (2016-2028)
TABLE 033. MIDDLE EAST & AFRICA DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 034. MIDDLE EAST & AFRICA DIGITAL AGRICULTURE MARKET, BY APPLICATION (2016-2028)
TABLE 035. DIGITAL AGRICULTURE MARKET, BY COUNTRY (2016-2028)
TABLE 036. SOUTH AMERICA DIGITAL AGRICULTURE MARKET, BY TYPE (2016-2028)
TABLE 037. SOUTH AMERICA DIGITAL AGRICULTURE MARKET, BY TECHNOLOGY (2016-2028)
TABLE 038. SOUTH AMERICA DIGITAL AGRICULTURE MARKET, BY APPLICATION (2016-2028)
TABLE 039. DIGITAL AGRICULTURE MARKET, BY COUNTRY (2016-2028)
TABLE 040. DEERE & COMPANY (U.S.): SNAPSHOT
TABLE 041. DEERE & COMPANY (U.S.): BUSINESS PERFORMANCE
TABLE 042. DEERE & COMPANY (U.S.): PRODUCT PORTFOLIO
TABLE 043. DEERE & COMPANY (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 043. IBM CORPORATION (U.S.): SNAPSHOT
TABLE 044. IBM CORPORATION (U.S.): BUSINESS PERFORMANCE
TABLE 045. IBM CORPORATION (U.S.): PRODUCT PORTFOLIO
TABLE 046. IBM CORPORATION (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 046. CNH INDUSTRIAL (U.S.): SNAPSHOT
TABLE 047. CNH INDUSTRIAL (U.S.): BUSINESS PERFORMANCE
TABLE 048. CNH INDUSTRIAL (U.S.): PRODUCT PORTFOLIO
TABLE 049. CNH INDUSTRIAL (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 049. MICROSOFT CORPORATION (U.S.): SNAPSHOT
TABLE 050. MICROSOFT CORPORATION (U.S.): BUSINESS PERFORMANCE
TABLE 051. MICROSOFT CORPORATION (U.S.): PRODUCT PORTFOLIO
TABLE 052. MICROSOFT CORPORATION (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 052. AGCO CORPORATION (U.S.): SNAPSHOT
TABLE 053. AGCO CORPORATION (U.S.): BUSINESS PERFORMANCE
TABLE 054. AGCO CORPORATION (U.S.): PRODUCT PORTFOLIO
TABLE 055. AGCO CORPORATION (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 055. RAVEN INDUSTRIES (U.S.): SNAPSHOT
TABLE 056. RAVEN INDUSTRIES (U.S.): BUSINESS PERFORMANCE
TABLE 057. RAVEN INDUSTRIES (U.S.): PRODUCT PORTFOLIO
TABLE 058. RAVEN INDUSTRIES (U.S.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 058. COFCO INTERNATIONAL (SWITZERLAND): SNAPSHOT
TABLE 059. COFCO INTERNATIONAL (SWITZERLAND): BUSINESS PERFORMANCE
TABLE 060. COFCO INTERNATIONAL (SWITZERLAND): PRODUCT PORTFOLIO
TABLE 061. COFCO INTERNATIONAL (SWITZERLAND): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 061. AGROFY (SOUTH AFRICA): SNAPSHOT
TABLE 062. AGROFY (SOUTH AFRICA): BUSINESS PERFORMANCE
TABLE 063. AGROFY (SOUTH AFRICA): PRODUCT PORTFOLIO
TABLE 064. AGROFY (SOUTH AFRICA): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 064. EDEN FARM (INDONESIA): SNAPSHOT
TABLE 065. EDEN FARM (INDONESIA): BUSINESS PERFORMANCE
TABLE 066. EDEN FARM (INDONESIA): PRODUCT PORTFOLIO
TABLE 067. EDEN FARM (INDONESIA): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 067. HUMMINGBIRD TECHNOLOGIES (ENGLAND): SNAPSHOT
TABLE 068. HUMMINGBIRD TECHNOLOGIES (ENGLAND): BUSINESS PERFORMANCE
TABLE 069. HUMMINGBIRD TECHNOLOGIES (ENGLAND): PRODUCT PORTFOLIO
TABLE 070. HUMMINGBIRD TECHNOLOGIES (ENGLAND): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 070. CRANSWICK PLC (U.K): SNAPSHOT
TABLE 071. CRANSWICK PLC (U.K): BUSINESS PERFORMANCE
TABLE 072. CRANSWICK PLC (U.K): PRODUCT PORTFOLIO
TABLE 073. CRANSWICK PLC (U.K): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 073. OTHER MAJOR PLAYERS.: SNAPSHOT
TABLE 074. OTHER MAJOR PLAYERS.: BUSINESS PERFORMANCE
TABLE 075. OTHER MAJOR PLAYERS.: PRODUCT PORTFOLIO
TABLE 076. 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. DIGITAL 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. DIGITAL AGRICULTURE MARKET OVERVIEW BY TYPE
FIGURE 012. CROP MONITORING MARKET OVERVIEW (2016-2028)
FIGURE 013. ARTIFICIAL INTELLIGENCE MARKET OVERVIEW (2016-2028)
FIGURE 014. PRECISION FARMING MARKET OVERVIEW (2016-2028)
FIGURE 015. DIGITAL AGRICULTURE MARKET OVERVIEW BY TECHNOLOGY
FIGURE 016. PERIPHERAL MARKET OVERVIEW (2016-2028)
FIGURE 017. CORE MARKET OVERVIEW (2016-2028)
FIGURE 018. DIGITAL AGRICULTURE MARKET OVERVIEW BY APPLICATION
FIGURE 019. FIELD MAPPING MARKET OVERVIEW (2016-2028)
FIGURE 020. CROP SCOUTING MARKET OVERVIEW (2016-2028)
FIGURE 021. WEATHER TRACKING MARKET OVERVIEW (2016-2028)
FIGURE 022. DRONE ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 023. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 024. NORTH AMERICA DIGITAL AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. EUROPE DIGITAL AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 026. ASIA PACIFIC DIGITAL AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 027. MIDDLE EAST & AFRICA DIGITAL AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 028. SOUTH AMERICA DIGITAL AGRICULTURE MARKET OVERVIEW BY COUNTRY (2016-2028)