Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, AI-as-a-Service), Application (Drone Analytics, Precision Farming) and Region - Global Forecast to 2028

Abstract
The AI in agriculture market is projected to grow from USD 1.7 billion in 2023 to USD 4.7 billion in 2028; it is expected to grow at a CAGR of 23.1% during the forecasted period. AI in agriculture is mainly used in

precision farming, agriculture robots, livestock monitoring, drone analytics, labor management, and others. The market growth is mainly driven by government support to adopt modern agricultural techniques. Local governments in the Americas and Europe are encouraging farmers to adopt modern farming practices by providing improved budgets and guidance at different levels to increase food production. Governments worldwide are taking several initiatives to boost agriculture production, develop high-quality seeds, and increase storage capacities. These initiatives entail investing in AI-based farming technology.

“Market for AI-as-a-Service is to grow at highest CAGR during forecast period.”

The artificial intelligence (AI) in agriculture market has been segmented based on offering into hardware, software, AI-as-a-Service, and services. Market for AI-as-a-Service is expected to grow at highest CAGR during forecast period. Major companies, such as IBM, Microsoft, Granular, and Descartes Labs, are involved in providing AI-as-a-Service.


“Market for drone analytics application is expected to grow at highest CAGR during forecast period.”

The market for drone analytics application is expected to grow at highest CAGR during forecast period.

Drone support farmers by offering efficient plant protection, providing important data on soil types, and monitoring crop health. In agriculture, microdrones have a huge potential and a wide range of applications. Drone analytics software is used for measuring vegetation levels based on the normalized difference vegetation index (NDVI), a graphical indicator of this measurement.

“Market for Asia Pacific is to grow at highest CAGR during forecast period.”

The AI in agriculture market has been segmented into four geographic regions: the North America, Europe, Asia Pacific, and the Rest of the World (RoW). The market in Asia Pacific is expected to witness the highest growth rate during the forecast period. The wide-scale adoption of AI technologies in agricultural farming is a key factor supporting the growth of the market in this region. Further Asia Pacific is segmented into China, Japan, South Korea, India and Rest of Asia Pacific. There is an increasing application of AI in the agriculture sector in developing countries, such as India and China.

The report profiles key players in the AI in agriculture market with their respective market ranking analysis. Prominent players profiled in this report are Deere & Company (US), IBM (US), Microsoft (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Granular Inc. (Canada), AgEagle Aerial Syatems Inc. (US), Descartes Labs, Inc. (US).

Research Coverage:
This research report categorizes the AI in agriculture market on the basis Technology, Offering, Application, and Geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in agriculture market and forecasts the same till 2028. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI in agriculture ecosystem.

Key Benefits of Buying the Report
The report will help market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in agriculture market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

Content
Table of Contents

1INTRODUCTION28
1.1STUDY OBJECTIVES28
1.2MARKET DEFINITION28
1.2.1INCLUSIONS AND EXCLUSIONS29
1.3STUDY SCOPE29
1.3.1MARKETS COVERED29
FIGURE 1SEGMENTATION OF AI IN AGRICULTURE MARKET29
1.3.2REGIONAL SCOPE30
1.3.3YEARS CONSIDERED30
1.4CURRENCY CONSIDERED30
1.5LIMITATIONS31
1.6STAKEHOLDERS31
1.7SUMMARY OF CHANGES31
2RESEARCH METHODOLOGY33
2.1RESEARCH DATA33
FIGURE 2AI IN AGRICULTURE MARKET: RESEARCH DESIGN33
2.1.1SECONDARY AND PRIMARY RESEARCH34
2.1.1.1Key industry insights35
2.1.2SECONDARY DATA35
2.1.2.1List of major secondary sources35
2.1.2.2Secondary sources36
2.1.3PRIMARY DATA36
2.1.3.1Primary interviews with experts36
2.1.3.2Breakdown of primaries37
2.1.3.3Key data from primary sources37
2.2MARKET SIZE ESTIMATION37
FIGURE 3MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE APPROACH38
2.2.1BOTTOM-UP APPROACH38
2.2.1.1Approach to estimate market size using bottom-up analysis (demand side)38
FIGURE 4MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH39
2.2.2TOP-DOWN APPROACH39
2.2.2.1Approach to estimate market size using top-down analysis (supply side)39
FIGURE 5MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH39
2.3MARKET BREAKDOWN AND DATA TRIANGULATION40
FIGURE 6DATA TRIANGULATION40
2.4RESEARCH ASSUMPTIONS41
FIGURE 7RESEARCH STUDY ASSUMPTIONS41
TABLE 1PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON AI IN AGRICULTURE MARKET41
3EXECUTIVE SUMMARY42
FIGURE 8MACHINE LEARNING TECHNOLOGY TO ACCOUNT FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN 202842
FIGURE 9SOFTWARE OFFERINGS TO HOLD LARGEST MARKET SHARE THROUGHOUT FORECAST PERIOD43
FIGURE 10DRONE ANALYTICS APPLICATION TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD43
FIGURE 11NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN 202244
3.1ANALYSIS OF RECESSION IMPACT ON AI IN AGRICULTURE MARKET45
FIGURE 12GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES (PERCENTAGE CHANGE)45
FIGURE 13AI IN AGRICULTURE MARKET: PRE- AND POST-RECESSION SCENARIOS46
4PREMIUM INSIGHTS47
4.1ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN AGRICULTURE MARKET47
FIGURE 14RISING USE OF DRONES TO INCREASE FARM PRODUCTIVITY AND PROFITABILITY TO PROVIDE OPPORTUNITIES FOR PLAYERS OFFERING AI-POWERED SOLUTIONS47
4.2AI IN AGRICULTURE MARKET, BY TECHNOLOGY47
FIGURE 15COMPUTER VISION TECHNOLOGY TO REGISTER HIGHEST CAGR IN AI IN AGRICULTURE MARKET BETWEEN 2023 AND 202847
4.3AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY AND APPLICATION48
FIGURE 16US AND DRONE ANALYTICS TO ACCOUNT FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN NORTH AMERICA IN 202848
4.4REGION-WISE AI IN AGRICULTURE MARKET GROWTH RATE48
FIGURE 17ASIA PACIFIC TO RECORD HIGHEST CAGR IN AI IN AGRICULTURE MARKET DURING FORECAST PERIOD48
5MARKET OVERVIEW49
5.1INTRODUCTION49
5.2MARKET DYNAMICS49
FIGURE 18ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES49
5.2.1DRIVERS50
5.2.1.1Adoption of newer technologies in arable land to balance food supply and population increase50
5.2.1.2Rising need for real-time data by growers and farmers to take preventive measures51
FIGURE 19VOLUME OF DATA GENERATED PER DAY BY IOT-CONNECTED FARMS GLOBALLY51
5.2.1.3Increasing crop productivity through deep learning technology51
5.2.1.4Government support to adopt modern agricultural techniques52
5.2.1.5Increasing use of AI-enabled robots and automation in agriculture due to labor shortage52
5.2.2RESTRAINTS53
5.2.2.1High cost of AI-driven precision farming equipment53
5.2.3OPPORTUNITIES53
5.2.3.1Potential growth opportunities in developing countries54
5.2.3.2Government schemes encouraging adoption of AI solutions to manage small farms54
5.2.3.3Rising use of drones to increase farm productivity and profitability54
5.2.4CHALLENGES55
5.2.4.1Interoperability issues due to lack of standardization of communication protocols55
5.2.4.2Availability of limited workforce with technological expertise55
5.2.4.3Insufficient historical data to build predictive models55
5.3VALUE CHAIN ANALYSIS56
FIGURE 20VALUE CHAIN ANALYSIS FOR AI IN AGRICULTURE MARKET56
5.4ECOSYSTEM ANALYSIS57
FIGURE 21AI IN AGRICULTURE MARKET: ECOSYSTEM ANALYSIS57
TABLE 2ECOSYSTEM MAPPING57
5.5PRICING ANALYSIS58
TABLE 3INDICATIVE PRICING ANALYSIS OF AI PRODUCTS OFFERED BY KEY COMPANIES58
FIGURE 22AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS59
5.5.1AVERAGE SELLING PRICE ANALYSIS OF PROCESSOR COMPONENTS OFFERED BY TOP 3 PLAYERS59
FIGURE 23AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY TOP 3 COMPANIES59
TABLE 4ASP RANGE OF PROCESSOR COMPONENTS, 2019–202860
TABLE 5ASP RANGE OF PROCESSOR, BY REGION, 2019–2028 (USD)60
5.6TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS60
FIGURE 24REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN AI IN AGRICULTURE MARKET60
5.7TECHNOLOGY ANALYSIS61
5.7.1INTERNET OF THINGS (IOT)61
5.7.2ROBOTICS61
5.7.3BLOCKCHAIN TECHNOLOGY61
5.7.4AI-DRIVEN DRONES61
5.8PORTER’S FIVE FORCES ANALYSIS62
TABLE 6AI IN AGRICULTURE MARKET: PORTER’S FIVE FORCES ANALYSIS, 202262
FIGURE 25PORTER’S FIVE FORCES ANALYSIS: AI IN AGRICULTURE MARKET62
5.8.1THREAT OF NEW ENTRANTS63
5.8.2THREAT OF SUBSTITUTES63
5.8.3BARGAINING POWER OF SUPPLIERS63
5.8.4BARGAINING POWER OF BUYERS63
5.8.5INTENSITY OF COMPETITIVE RIVALRY64
5.9KEY STAKEHOLDERS AND BUYING CRITERIA64
5.9.1KEY STAKEHOLDERS IN BUYING PROCESS64
FIGURE 26INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS64
TABLE 7INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)64
5.10CASE STUDIES65
TABLE 8E&J GALLO (US) ADOPTED IBM CLOUD TO INCREASE YIELDS AND REDUCE WATER USAGE65
TABLE 9BUNGE (US) IMPLEMENTED IBM PAIRS TO GAIN DATA AND COMPUTING POWER TO BUILD ADVANCED STATISTICAL MODELS65
TABLE 10AGROPECUÁRIA CANOA MIRIM S/A (BRAZIL) DEPLOYED VARIABLE RATE TECHNOLOGY OFFERED BY FARMERS EDGE TO ENSURE ACCURATE QUANTITY OF FERTILIZERS65
5.11TRADE ANALYSIS65
FIGURE 27EXPORT DATA FOR PRODUCTS COVERED UNDER HS CODE 8432, 2017–2021 (USD MILLION)66
FIGURE 28IMPORT DATA FOR PRODUCTS COVERED UNDER HS CODE 8432, 2017–2021 (USD MILLION)66
5.12PATENT ANALYSIS67
FIGURE 29NUMBER OF PATENTS GRANTED FROM 2013 TO 202267
FIGURE 30TOP 10 PATENT APPLICANT COMPANIES IN LAST 10 YEARS67
TABLE 11TOP 12 PATENT OWNERS IN LAST 10 YEARS68
TABLE 12IMPORTANT PATENTS RELATED TO AI IN AGRICULTURE MARKET68
5.13KEY CONFERENCES AND EVENTS, 2023–202469
TABLE 13ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: CONFERENCES AND EVENTS, 2023–202469
5.14REGULATIONS AND STANDARDS70
5.14.1STANDARDS70
TABLE 14STANDARDS FOR AI IN AGRICULTURE MARKET70
5.14.2REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS71
TABLE 15NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS71
TABLE 16EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS71
TABLE 17ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS72
6AI IN AGRICULTURE MARKET, BY TECHNOLOGY73
6.1INTRODUCTION74
FIGURE 31COMPUTER VISION TECHNOLOGY TO REGISTER HIGHEST CAGR IN AI IN AGRICULTURE MARKET BETWEEN 2023 AND 202874
TABLE 18AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)74
TABLE 19AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)74
6.2MACHINE LEARNING75
6.2.1NEED TO MINIMIZE RISKS AND COSTS ASSOCIATED WITH AGRICULTURAL OPERATIONS TO DRIVE DEMAND FOR MACHINE LEARNING TECHNOLOGY75
6.3COMPUTER VISION75
6.3.1USE OF COMPUTER VISION TECHNOLOGY TO MONITOR CROP HEALTH AND PREDICT NUTRIENT DEFICIENCY TO PROVIDE OPPORTUNITIES FOR MARKET PLAYERS75
6.4PREDICTIVE ANALYTICS76
6.4.1ADOPTION OF PREDICTIVE ANALYTICS TECHNOLOGY TO MAKE AGRONOMIC DECISIONS TO DRIVE MARKET76
7AI IN AGRICULTURE MARKET, BY OFFERING77
7.1INTRODUCTION78
FIGURE 32AI-AS-A-SERVICE SEGMENT TO EXHIBIT HIGHEST CAGR BETWEEN 2023 AND 202878
TABLE 20AI IN AGRICULTURE MARKET, BY OFFERING, 2019–2022 (USD MILLION)78
TABLE 21AI IN AGRICULTURE MARKET, BY OFFERING, 2023–2028 (USD MILLION)78
7.2HARDWARE79
7.2.1AVAILABILITY OF HIGH-TECH TOOLKITS FOR AGRICULTURAL APPLICATIONS TO BOOST MARKET79
TABLE 22HARDWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION)79
TABLE 23HARDWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION)79
7.2.2PROCESSOR80
7.2.2.1Need for highly advanced processors to run complex algorithms and translate them into useful information80
7.2.3STORAGE DEVICE80
7.2.3.1Requirement for high-capacity storage devices to store critical data generated through sensors and drones80
7.2.4NETWORK80
7.2.4.1Network systems include RAMs, memory boards, Ethernet adaptors, and interconnects80
7.3SOFTWARE81
7.3.1INSTALLATION OF SOFTWARE TO SYNTHESIZE DATA HELPFUL IN MAKING PROMPT DECISIONS TO DRIVE DEMAND81
TABLE 24SOFTWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION)81
TABLE 25SOFTWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION)81
7.3.2AI PLATFORM81
7.3.2.1Adoption of AI platforms to fetch and store data from different sources to create consolidated data environment81
7.3.3AI SOLUTION82
7.3.3.1Commercialization of robust AI solutions by Alphabet, Siemens, Data RPM, and other players to contribute to segmental growth82
7.4AI-AS-A-SERVICE82
7.4.1INCLINATION TOWARD IMPLEMENTING EFFICIENT FARMING METHODS TO REDUCE WASTAGE AND INCREASE CROP YIELD TO DRIVE DEMAND FOR AIAAS82
7.5SERVICES82
7.5.1INCREASING REQUIREMENT FOR ONLINE AND OFFLINE SUPPORT SERVICES TO BOOST SEGMENTAL GROWTH82
TABLE 26SERVICES: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION)83
TABLE 27SERVICES: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION)83
7.5.2DEPLOYMENT & INTEGRATION83
7.5.2.1Rising adoption of software-integrated on-premises and cloud-based platforms by modern farmers to accelerate demand for deployment & integration services83
7.5.3SUPPORT & MAINTENANCE83
7.5.3.1Post-installation requirement to address operations-related issues to drive demand for support & maintenance services83
8AI IN AGRICULTURE MARKET, BY APPLICATION84
8.1INTRODUCTION85
FIGURE 33DRONE ANALYTICS SEGMENT TO RECORD HIGHEST CAGR IN AI IN AGRICULTURE MARKET, BY APPLICATION, DURING FORECAST PERIOD85
TABLE 28AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)85
TABLE 29AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)86
8.2PRECISION FARMING86
8.2.1FARMERS’ FOCUS ON INCREASING CROP YIELDS USING LIMITED RESOURCES TO INCREASE DEMAND FOR AI IN PRECISION FARMING86
TABLE 30PRECISION FARMING: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION)87
TABLE 31PRECISION FARMING: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION)87
TABLE 32PRECISION FARMING: AI IN AGRICULTURE MARKET, BY REGION 2019–2022 (USD MILLION)87
TABLE 33PRECISION FARMING: AI IN AGRICULTURE MARKET, BY REGION 2023–2028 (USD MILLION)88
TABLE 34PRECISION FARMING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION)88
TABLE 35PRECISION FARMING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION)88
TABLE 36PRECISION FARMING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)89
TABLE 37PRECISION FARMING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)89
TABLE 38PRECISION FARMING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)89
TABLE 39PRECISION FARMING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)90
TABLE 40PRECISION FARMING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)90
TABLE 41PRECISION FARMING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)90
8.2.2YIELD MONITORING90
8.2.2.1Integration of advanced sensors into yield monitoring solutions to track moisture and nutrient levels in soil90
8.2.3FIELD MAPPING91
8.2.3.1Adoption of AI-powered field mapping tools to record field boundaries and calculate surface area91
8.2.4CROP SCOUTING91
8.2.4.1Implementation of AI-enabled crop scouting tools to examine crop conditions and gain information on pests and crop injuries91
8.2.5WEATHER TRACKING & FORECASTING91
8.2.5.1Use of weather tracking and forecasting tools to gather information and predict weather conditions91
8.2.6IRRIGATION MANAGEMENT92
8.2.6.1Implementation of AI-based irrigation systems to achieve optimal yield and water conservation92
8.3LIVESTOCK MONITORING92
8.3.1INCORPORATION OF AI IN FEEDING AND HEAT STRESS MANAGEMENT SOLUTIONS AND MILKING ROBOTS TO FUEL MARKET GROWTH92
TABLE 42LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)93
TABLE 43LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)93
TABLE 44LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022, (USD MILLION)93
TABLE 45LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028, (USD MILLION)94
TABLE 46LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)94
TABLE 47LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)94
TABLE 48LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)95
TABLE 49LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)95
TABLE 50LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)95
TABLE 51LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)96
8.4DRONE ANALYTICS96
8.4.1USE OF AI-POWERED DRONES TO IDENTIFY INSECTS AND DISEASES AFFLICTING CROPS TO ACCELERATE MARKET GROWTH96
TABLE 52DRONE ANALYTICS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)96
TABLE 53DRONE ANALYTICS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)97
TABLE 54DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION)97
TABLE 55DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION)97
TABLE 56DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)98
TABLE 57DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)98
TABLE 58DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)98
TABLE 59DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)99
TABLE 60DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)99
TABLE 61DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)99
8.5AGRICULTURE ROBOTS99
8.5.1INCREASED DEEP LEARNING CAPABILITIES OF AGRICULTURE ROBOTS TO CONTRIBUTE TO MARKET GROWTH99
TABLE 62AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)100
TABLE 63AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)100
TABLE 64AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION)100
TABLE 65AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION)101
TABLE 66AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)101
TABLE 67AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)101
TABLE 68AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)102
TABLE 69AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)102
TABLE 70AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)102
TABLE 71AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)103
8.6LABOR MANAGEMENT103
8.6.1REDUCTION IN PRODUCTION COSTS THROUGH LABOR MANAGEMENT SOFTWARE TO STIMULATE MARKET GROWTH103
TABLE 72LABOR MANAGEMENT: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)103
TABLE 73LABOR MANAGEMENT: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)104
TABLE 74LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION)104
TABLE 75LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION)104
TABLE 76LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)105
TABLE 77LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)105
TABLE 78LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)105
TABLE 79LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)106
TABLE 80LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)106
TABLE 81LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)106
8.7OTHERS107
8.7.1SMART GREENHOUSE MANAGEMENT107
8.7.2SOIL MANAGEMENT107
8.7.2.1Moisture monitoring108
8.7.2.2Nutrient monitoring108
8.7.3FISH FARMING MANAGEMENT108
TABLE 82OTHERS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)108
TABLE 83OTHERS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)109
TABLE 84OTHERS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION)109
TABLE 85OTHERS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION)109
TABLE 86OTHERS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION)110
TABLE 87OTHERS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION)110
TABLE 88OTHERS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION)110
TABLE 89OTHERS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION)111
TABLE 90OTHERS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION)111
TABLE 91OTHERS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION)111
9AI IN AGRICULTURE MARKET, BY REGION112
9.1INTRODUCTION113
FIGURE 34ASIA PACIFIC COUNTRIES TO BE PROSPECTIVE MARKETS FOR AI IN AGRICULTURE DURING FORECAST PERIOD113
TABLE 92AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)114
TABLE 93AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)114
9.2NORTH AMERICA115
FIGURE 35NORTH AMERICA: AI IN AGRICULTURE MARKET SNAPSHOT116
TABLE 94NORTH AMERICA: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)116
TABLE 95NORTH AMERICA: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)117
TABLE 96NORTH AMERICA: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)117
TABLE 97NORTH AMERICA: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)117
9.2.1US117
9.2.1.1Presence of giant companies offering AI-powered solutions and services to boost market growth117
9.2.2CANADA118
9.2.2.1Federal investments and favorable regulatory environment framework to propel market118
9.2.3MEXICO118
9.2.3.1Limited water resources to accelerate demand for AI in agriculture sector118
9.3EUROPE118
FIGURE 36EUROPE: AI IN AGRICULTURE MARKET SNAPSHOT119
TABLE 98EUROPE: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)120
TABLE 99EUROPE: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)120
TABLE 100EUROPE: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)120
TABLE 101EUROPE: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)121
9.3.1UK121
9.3.1.1Investments by government in high-tech farming projects to stimulate market growth121
9.3.2GERMANY121
9.3.2.1High adoption of agricultural drones to monitor crops to propel market growth121
9.3.3FRANCE122
9.3.3.1Focus of startup companies on development of advanced technologies for agriculture sector to support market growth122
9.3.4ITALY122
9.3.4.1Limited water resources to encourage use of AI in agriculture sector122
9.3.5SPAIN122
9.3.5.1Government-run pilot projects encouraging adoption of AI in agriculture to boost market growth122
9.3.6REST OF EUROPE123
9.4ASIA PACIFIC123
FIGURE 37ASIA PACIFIC: AI IN AGRICULTURE MARKET SNAPSHOT124
TABLE 102ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)124
TABLE 103ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)125
TABLE 104ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)125
TABLE 105ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)125
9.4.1AUSTRALIA126
9.4.1.1Government support in agricultural development to promote market growth126
9.4.2CHINA126
9.4.2.1Inclination toward precision farming techniques to create opportunities for AI technology providers126
9.4.3JAPAN127
9.4.3.1Rise in urban farming practices to fuel growth of AI in agriculture market127
9.4.4SOUTH KOREA127
9.4.4.1Government funding and initiatives to develop smart farming technologies to support market growth127
9.4.5INDIA127
9.4.5.1Digital transformation of Indian agriculture sector to provide opportunities for AI technology providers127
9.4.6REST OF ASIA PACIFIC128
9.5REST OF THE WORLD128
TABLE 106ROW: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)128
TABLE 107ROW: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)129
TABLE 108ROW: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION)129
TABLE 109ROW: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION)129
9.5.1MIDDLE EAST & AFRICA129
9.5.1.1Increasing adoption of remote sensing and precision farming technologies to boost market129
9.5.2SOUTH AMERICA130
9.5.2.1Growing adoption of modern farming practices to drive market130
10COMPETITIVE LANDSCAPE131
10.1OVERVIEW131
10.2COMPANY REVENUE ANALYSIS, 2017–2021131
FIGURE 38FIVE-YEAR REVENUE ANALYSIS OF KEY PLAYERS, 2017–2021131
10.3MARKET SHARE ANALYSIS, 2022132
FIGURE 39SHARE OF MAJOR PLAYERS IN AI IN AGRICULTURE MARKET, 2022132
TABLE 110DEGREE OF COMPETITION132
10.4COMPANY EVALUATION QUADRANT133
10.4.1STARS133
10.4.2PERVASIVE PLAYERS133
10.4.3EMERGING LEADERS133
10.4.4PARTICIPANTS133
FIGURE 40COMPANY EVALUATION QUADRANT, 2022134
10.5COMPANY FOOTPRINT134
TABLE 111FOOTPRINTS OF COMPANIES134
TABLE 112APPLICATION FOOTPRINT OF COMPANIES135
TABLE 113REGION FOOTPRINT OF COMPANIES136
10.6SMES EVALUATION QUADRANT137
10.6.1PROGRESSIVE COMPANIES137
10.6.2RESPONSIVE COMPANIES137
10.6.3DYNAMIC COMPANIES137
10.6.4STARTING BLOCKS137
FIGURE 41SMES EVALUATION QUADRANT, 2022138
10.7SMES EVALUATION MATRIX138
TABLE 114DETAILED LIST OF KEY SMES138
TABLE 115COMPETITIVE BENCHMARKING OF KEY SMES139
10.8COMPETITIVE SCENARIO139
10.8.1PRODUCT LAUNCHES139
TABLE 116PRODUCT LAUNCHES, 2020–2022139
10.8.2DEALS140
TABLE 117DEALS, 2020–2022140
11COMPANY PROFILES142
11.1KEY PLAYERS142
(Business overview, Products offered, Recent developments, Product launches, Deals, MnM view, Key strengths/Right to win, Strategic choices, and Weaknesses/Competitive threats)*
11.1.1IBM142
TABLE 118IBM: COMPANY OVERVIEW142
FIGURE 42IBM: COMPANY SNAPSHOT143
TABLE 119IBM: PRODUCTS OFFERED143
TABLE 120IBM: PRODUCT LAUNCHES144
TABLE 121IBM: DEALS144
11.1.2DEERE & COMPANY146
TABLE 122DEERE & COMPANY: COMPANY OVERVIEW146
FIGURE 43DEERE & COMPANY: COMPANY SNAPSHOT147
TABLE 123DEERE & COMPANY: PRODUCTS OFFERED147
TABLE 124DEERE & COMPANY: DEALS148
11.1.3MICROSOFT149
TABLE 125MICROSOFT: COMPANY OVERVIEW149
FIGURE 44MICROSOFT: COMPANY SNAPSHOT150
TABLE 126MICROSOFT: PRODUCTS OFFERED150
TABLE 127MICROSOFT: DEALS151
11.1.4THE CLIMATE CORPORATION153
TABLE 128THE CLIMATE CORPORATION: COMPANY OVERVIEW153
TABLE 129THE CLIMATE CORPORATION: PRODUCTS OFFERED153
TABLE 130THE CLIMATE CORPORATION: PRODUCT LAUNCHES154
TABLE 131THE CLIMATE CORPORATION: DEALS154
11.1.5FARMERS EDGE INC.156
TABLE 132FARMERS EDGE INC.: COMPANY OVERVIEW156
FIGURE 45FARMERS EDGE INC.: COMPANY SNAPSHOT156
TABLE 133FARMERS EDGE INC.: PRODUCTS OFFERED157
TABLE 134FARMERS EDGE INC.: DEALS157
TABLE 135FARMERS EDGE INC.: OTHERS158
11.1.6GRANULAR INC.159
TABLE 136GRANULAR INC.: COMPANY OVERVIEW159
TABLE 137GRANULAR INC.: PRODUCTS OFFERED159
11.1.7AGEAGLE AERIAL SYSTEMS INC.160
TABLE 138AGEAGLE AERIAL SYSTEMS INC.: COMPANY OVERVIEW160
FIGURE 46AGEAGLE AERIAL SYSTEMS INC.: COMPANY SNAPSHOT161
TABLE 139AGEAGLE AERIAL SYSTEMS INC.: PRODUCTS OFFERED161
TABLE 140AGEAGLE AERIAL SYSTEMS INC.: OTHERS162
11.1.8DESCARTES LABS, INC.163
TABLE 141DESCARTES LABS, INC.: COMPANY OVERVIEW163
TABLE 142DESCARTES LABS, INC.: PRODUCTS OFFERED163
TABLE 143DESCARTES LABS, INC.: PRODUCT LAUNCHES163
11.1.9PROSPERA TECHNOLOGIES, INC.164
TABLE 144PROSPERA TECHNOLOGIES, INC.: COMPANY OVERVIEW164
TABLE 145PROSPERA TECHNOLOGIES, INC.: PRODUCTS OFFERED164
TABLE 146PROSPERA TECHNOLOGIES, INC.: OTHERS164
11.1.10TARANIS165
TABLE 147TARANIS: COMPANY OVERVIEW165
TABLE 148TARANIS: PRODUCTS OFFERED165
TABLE 149TARANIS: DEALS165
TABLE 150TARANIS: OTHERS166
11.1.11CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED167
TABLE 151CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: COMPANY OVERVIEW167
TABLE 152CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: PRODUCTS OFFERED167
TABLE 153CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: PRODUCT LAUNCHES167
TABLE 154CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: DEALS168
TABLE 155CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: OTHERS169
11.2OTHER KEY COMPANIES170
11.2.1GAMAYA170
11.2.2EC2CE170
11.2.3PRECISION HAWK171
11.2.4VINEVIEW171
11.2.5EVER.AG172
11.2.6TULE TECHNOLOGIES172
11.2.7RESSON AEROSPACE INC.173
11.2.8CONNECTERRA B.V.173
11.2.9VISION ROBOTICS CORPORATION174
11.2.10FARMBOT174
11.2.11HARVEST CROO ROBOTICS LLC175
11.2.12PROGRESSIVE ENVIRONMENTAL & AGRICULTURAL TECHNOLOGIES (PEAT)175
11.2.13TRACE GENOMICS176
11.2.14CROPX INC.176
*Details on Business overview, Products offered, Recent developments, Product launches, Deals, MnM view, Key strengths/Right to win, Strategic choices, and Weaknesses/Competitive threats might not be captured in case of unlisted companies.
12ADJACENT AND RELATED MARKETS177
12.1INTRODUCTION177
12.2STUDY LIMITATIONS177
12.3PRECISION FARMING MARKET, BY TECHNOLOGY177
TABLE 156PRECISION FARMING MARKET, BY TECHNOLOGY TYPE, 2018–2021 (USD MILLION)178
TABLE 157PRECISION FARMING MARKET, BY TECHNOLOGY TYPE, 2022–2030 (USD MILLION)178
12.3.1GUIDANCE TECHNOLOGY178
12.3.1.1GPS/GNSS-based guidance technology179
12.3.1.1.1Rising preference for using advanced technologies in agriculture industry to boost demand for GPS/GNSS-based guidance technology179
12.3.1.2GIS-based guidance technology179
12.3.1.2.1Increasing need to store data related to yields, soil survey maps, etc., to accelerate adoption of GIS-based guidance technology179
12.3.2REMOTE SENSING TECHNOLOGY180
12.3.2.1Handheld or ground-based sensing181
12.3.2.1.1Growing demand for and easy availability of handheld sensors to drive market growth181
12.3.2.2Satellite or aerial sensing181
12.3.2.2.1Ability of satellite sensing to provide quantitative and near-real-time information over large areas to drive adoption181
12.3.3VARIABLE RATE TECHNOLOGY (VRT)182
12.3.3.1MAP-based VRT182
12.3.3.1.1MAP-based VRT segment held largest market share in 2021182
12.3.3.2Sensor-based VRT183
12.3.3.2.1Use of sensor-based VRT to measure soil properties or crop characteristics183
13APPENDIX184
13.1DISCUSSION GUIDE184
13.2KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL187
13.3CUSTOMIZATION OPTIONS189
13.4RELATED REPORTS189
13.5AUTHOR DETAILS190