農業における人工知能市場：技術（機械学習、コンピュータビジョン、予測分析）、提供（ソフトウェア、AI-as-a-Service）、用途（ドローン分析、精密農業）、地域別 - 2028年までの世界予測

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

農業におけるAI市場は、2023年の17億米ドルから2028年には47億米ドルに成長すると予測されており、予測期間中の年平均成長率は23.1％と予想されています。農業におけるAIは、主に以下のような用途で使用されます... もっと見る

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MarketsandMarkets マーケッツアンドマーケッツ	2023年3月1日	US$4,950 シングルユーザライセンスライセンス・価格情報注文方法はこちら	185	203	英語

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農業におけるAI市場は、2023年の17億米ドルから2028年には47億米ドルに成長すると予測されており、予測期間中の年平均成長率は23.1％と予想されています。農業におけるAIは、主に以下のような用途で使用されます。
精密農業、農業ロボット、家畜モニタリング、ドローン解析、労務管理、など。市場の成長は、主に近代的な農業技術を採用するための政府支援によってもたらされます。アメリカ大陸やヨーロッパの地方政府は、食料生産を増やすために様々なレベルで予算や指導を改善することで、農家が近代的な農業技術を採用することを奨励しています。世界各国の政府は、農業生産を促進し、高品質の種子を開発し、貯蔵能力を高めるために、いくつかの取り組みを行っています。これらの取り組みには、AIベースの農業技術への投資も含まれています。

"予測期間中はAI-as-a-Serviceの市場が最も高いCAGRで成長する"
農業における人工知能（AI）市場は、提供に基づいてハードウェア、ソフトウェア、AI-as-a-Service、サービスに区分されている。AI-as-a-Serviceの市場は、予測期間中に最も高いCAGRで成長すると予想されます。IBM、Microsoft、Granular、Descartes Labsなどの主要企業が、AI-as-a-Serviceの提供に携わっています。

"ドローン解析アプリケーションの市場は、予測期間中に最も高いCAGRで成長すると予想される。"
ドローンアナリティクスアプリケーション市場は、予測期間中に最も高いCAGRで成長すると予想されています。
ドローンは、効率的な植物保護の提供、土壌の種類に関する重要なデータの提供、作物の健康状態のモニタリングなどにより、農家をサポートしています。農業において、マイクロドローンは大きな可能性を持っており、幅広い用途に利用されています。ドローン分析ソフトウェアは、この測定のグラフ指標である正規化差分植生指数（NDVI）に基づいて植生レベルを測定するために使用されます。

"予測期間中、アジア太平洋地域の市場が最も高いCAGRで成長する。"
農業におけるAI市場は、北米、欧州、アジア太平洋地域、およびその他の地域（RoW）の4つの地理的地域に区分されています。アジア太平洋地域の市場は、予測期間中に最も高い成長率を記録すると予想されます。農業におけるAI技術の広範な導入が、この地域の市場成長を支える主要因となっています。さらにアジア太平洋地域は、中国、日本、韓国、インド、その他のアジア太平洋地域に区分されます。インドや中国などの発展途上国では、農業分野でのAIの適用が進んでいます。

本レポートでは、農業におけるAI市場の主要プレイヤーを、それぞれの市場ランキング分析とともに紹介しています。本レポートでプロファイルされている著名なプレイヤーは、Deere & Company（米国）、IBM（米国）、Microsoft（米国）、The Climate Corporation（米国）、Farmers Edge Inc（カナダ）、Granular Inc（カナダ）、AgEagle Aerial Syatems Inc（米国）、Descartes Labs, Inc（米国）。
調査対象範囲です：
この調査レポートは、農業におけるAI市場を、技術、提供、用途、地域に基づいて分類しています。農業におけるAI市場に関連する主要な推進要因、阻害要因、課題、および機会について説明し、2028年まで同じことを予測します。これらとは別に、本レポートは農業用AIエコシステムに含まれるすべての企業のリーダーシップマッピングと分析でも構成されています。
本レポートを購入する主なメリット
本レポートは、農業におけるAI市場全体とサブセグメントの収益数の最も近い近似値に関する情報を提供することで、本市場のマーケットリーダー/新規参入者を支援します。本レポートは、関係者が競争環境を理解し、より多くの洞察を得ることで、自社のビジネスをより良く位置づけ、適切な市場参入戦略を計画するのに役立ちます。また、本レポートは、関係者が市場の鼓動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、および機会に関する情報を提供します。

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1 INTRODUCTION 28
1.1 STUDY OBJECTIVES 28
1.2 MARKET DEFINITION 28
1.2.1 INCLUSIONS AND EXCLUSIONS 29
1.3 STUDY SCOPE 29
1.3.1 MARKETS COVERED 29
FIGURE 1 SEGMENTATION OF AI IN AGRICULTURE MARKET 29
1.3.2 REGIONAL SCOPE 30
1.3.3 YEARS CONSIDERED 30
1.4 CURRENCY CONSIDERED 30
1.5 LIMITATIONS 31
1.6 STAKEHOLDERS 31
1.7 SUMMARY OF CHANGES 31
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH DATA 33
FIGURE 2 AI IN AGRICULTURE MARKET: RESEARCH DESIGN 33
2.1.1 SECONDARY AND PRIMARY RESEARCH 34
2.1.1.1 Key industry insights 35
2.1.2 SECONDARY DATA 35
2.1.2.1 List of major secondary sources 35
2.1.2.2 Secondary sources 36
2.1.3 PRIMARY DATA 36
2.1.3.1 Primary interviews with experts 36
2.1.3.2 Breakdown of primaries 37
2.1.3.3 Key data from primary sources 37
2.2 MARKET SIZE ESTIMATION 37
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE APPROACH 38
2.2.1 BOTTOM-UP APPROACH 38
2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side) 38
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 39
2.2.2 TOP-DOWN APPROACH 39
2.2.2.1 Approach to estimate market size using top-down analysis (supply side) 39
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 39
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 40
FIGURE 6 DATA TRIANGULATION 40
2.4 RESEARCH ASSUMPTIONS 41
FIGURE 7 RESEARCH STUDY ASSUMPTIONS 41
TABLE 1 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON AI IN AGRICULTURE MARKET 41
3 EXECUTIVE SUMMARY 42
FIGURE 8 MACHINE LEARNING TECHNOLOGY TO ACCOUNT FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN 2028 42
FIGURE 9 SOFTWARE OFFERINGS TO HOLD LARGEST MARKET SHARE THROUGHOUT FORECAST PERIOD 43
FIGURE 10 DRONE ANALYTICS APPLICATION TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD 43
FIGURE 11 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN 2022 44
3.1 ANALYSIS OF RECESSION IMPACT ON AI IN AGRICULTURE MARKET 45
FIGURE 12 GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES (PERCENTAGE CHANGE) 45
FIGURE 13 AI IN AGRICULTURE MARKET: PRE- AND POST-RECESSION SCENARIOS 46
4 PREMIUM INSIGHTS 47
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI IN AGRICULTURE MARKET 47
FIGURE 14 RISING USE OF DRONES TO INCREASE FARM PRODUCTIVITY AND PROFITABILITY TO PROVIDE OPPORTUNITIES FOR PLAYERS OFFERING AI-POWERED SOLUTIONS 47
4.2 AI IN AGRICULTURE MARKET, BY TECHNOLOGY 47
FIGURE 15 COMPUTER VISION TECHNOLOGY TO REGISTER HIGHEST CAGR IN AI IN AGRICULTURE MARKET BETWEEN 2023 AND 2028 47
4.3 AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY AND APPLICATION 48
FIGURE 16 US AND DRONE ANALYTICS TO ACCOUNT FOR LARGEST SHARE OF AI IN AGRICULTURE MARKET IN NORTH AMERICA IN 2028 48
4.4 REGION-WISE AI IN AGRICULTURE MARKET GROWTH RATE 48
FIGURE 17 ASIA PACIFIC TO RECORD HIGHEST CAGR IN AI IN AGRICULTURE MARKET DURING FORECAST PERIOD 48
5 MARKET OVERVIEW 49
5.1 INTRODUCTION 49
5.2 MARKET DYNAMICS 49
FIGURE 18 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 49
5.2.1 DRIVERS 50
5.2.1.1 Adoption of newer technologies in arable land to balance food supply and population increase 50
5.2.1.2 Rising need for real-time data by growers and farmers to take preventive measures 51
FIGURE 19 VOLUME OF DATA GENERATED PER DAY BY IOT-CONNECTED FARMS GLOBALLY 51
5.2.1.3 Increasing crop productivity through deep learning technology 51
5.2.1.4 Government support to adopt modern agricultural techniques 52
5.2.1.5 Increasing use of AI-enabled robots and automation in agriculture due to labor shortage 52
5.2.2 RESTRAINTS 53
5.2.2.1 High cost of AI-driven precision farming equipment 53
5.2.3 OPPORTUNITIES 53
5.2.3.1 Potential growth opportunities in developing countries 54
5.2.3.2 Government schemes encouraging adoption of AI solutions to manage small farms 54
5.2.3.3 Rising use of drones to increase farm productivity and profitability 54
5.2.4 CHALLENGES 55
5.2.4.1 Interoperability issues due to lack of standardization of communication protocols 55
5.2.4.2 Availability of limited workforce with technological expertise 55
5.2.4.3 Insufficient historical data to build predictive models 55
5.3 VALUE CHAIN ANALYSIS 56
FIGURE 20 VALUE CHAIN ANALYSIS FOR AI IN AGRICULTURE MARKET 56
5.4 ECOSYSTEM ANALYSIS 57
FIGURE 21 AI IN AGRICULTURE MARKET: ECOSYSTEM ANALYSIS 57
TABLE 2 ECOSYSTEM MAPPING 57
5.5 PRICING ANALYSIS 58
TABLE 3 INDICATIVE PRICING ANALYSIS OF AI PRODUCTS OFFERED BY KEY COMPANIES 58
FIGURE 22 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS 59
5.5.1 AVERAGE SELLING PRICE ANALYSIS OF PROCESSOR COMPONENTS OFFERED BY TOP 3 PLAYERS 59
FIGURE 23 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY TOP 3 COMPANIES 59
TABLE 4 ASP RANGE OF PROCESSOR COMPONENTS, 2019–2028 60
TABLE 5 ASP RANGE OF PROCESSOR, BY REGION, 2019–2028 (USD) 60
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 60
FIGURE 24 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN AI IN AGRICULTURE MARKET 60
5.7 TECHNOLOGY ANALYSIS 61
5.7.1 INTERNET OF THINGS (IOT) 61
5.7.2 ROBOTICS 61
5.7.3 BLOCKCHAIN TECHNOLOGY 61
5.7.4 AI-DRIVEN DRONES 61
5.8 PORTER’S FIVE FORCES ANALYSIS 62
TABLE 6 AI IN AGRICULTURE MARKET: PORTER’S FIVE FORCES ANALYSIS, 2022 62
FIGURE 25 PORTER’S FIVE FORCES ANALYSIS: AI IN AGRICULTURE MARKET 62
5.8.1 THREAT OF NEW ENTRANTS 63
5.8.2 THREAT OF SUBSTITUTES 63
5.8.3 BARGAINING POWER OF SUPPLIERS 63
5.8.4 BARGAINING POWER OF BUYERS 63
5.8.5 INTENSITY OF COMPETITIVE RIVALRY 64
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA 64
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 64
FIGURE 26 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS 64
TABLE 7 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%) 64
5.10 CASE STUDIES 65
TABLE 8 E&J GALLO (US) ADOPTED IBM CLOUD TO INCREASE YIELDS AND REDUCE WATER USAGE 65
TABLE 9 BUNGE (US) IMPLEMENTED IBM PAIRS TO GAIN DATA AND COMPUTING POWER TO BUILD ADVANCED STATISTICAL MODELS 65
TABLE 10 AGROPECUÁRIA CANOA MIRIM S/A (BRAZIL) DEPLOYED VARIABLE RATE TECHNOLOGY OFFERED BY FARMERS EDGE TO ENSURE ACCURATE QUANTITY OF FERTILIZERS 65
5.11 TRADE ANALYSIS 65
FIGURE 27 EXPORT DATA FOR PRODUCTS COVERED UNDER HS CODE 8432, 2017–2021 (USD MILLION) 66
FIGURE 28 IMPORT DATA FOR PRODUCTS COVERED UNDER HS CODE 8432, 2017–2021 (USD MILLION) 66
5.12 PATENT ANALYSIS 67
FIGURE 29 NUMBER OF PATENTS GRANTED FROM 2013 TO 2022 67
FIGURE 30 TOP 10 PATENT APPLICANT COMPANIES IN LAST 10 YEARS 67
TABLE 11 TOP 12 PATENT OWNERS IN LAST 10 YEARS 68
TABLE 12 IMPORTANT PATENTS RELATED TO AI IN AGRICULTURE MARKET 68
5.13 KEY CONFERENCES AND EVENTS, 2023–2024 69
TABLE 13 ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET: CONFERENCES AND EVENTS, 2023–2024 69
5.14 REGULATIONS AND STANDARDS 70
5.14.1 STANDARDS 70
TABLE 14 STANDARDS FOR AI IN AGRICULTURE MARKET 70
5.14.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 71
TABLE 15 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 71
TABLE 16 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 71
TABLE 17 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 72
6 AI IN AGRICULTURE MARKET, BY TECHNOLOGY 73
6.1 INTRODUCTION 74
FIGURE 31 COMPUTER VISION TECHNOLOGY TO REGISTER HIGHEST CAGR IN AI IN AGRICULTURE MARKET BETWEEN 2023 AND 2028 74
TABLE 18 AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 74
TABLE 19 AI IN AGRICULTURE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 74
6.2 MACHINE LEARNING 75
6.2.1 NEED TO MINIMIZE RISKS AND COSTS ASSOCIATED WITH AGRICULTURAL OPERATIONS TO DRIVE DEMAND FOR MACHINE LEARNING TECHNOLOGY 75
6.3 COMPUTER VISION 75
6.3.1 USE OF COMPUTER VISION TECHNOLOGY TO MONITOR CROP HEALTH AND PREDICT NUTRIENT DEFICIENCY TO PROVIDE OPPORTUNITIES FOR MARKET PLAYERS 75
6.4 PREDICTIVE ANALYTICS 76
6.4.1 ADOPTION OF PREDICTIVE ANALYTICS TECHNOLOGY TO MAKE AGRONOMIC DECISIONS TO DRIVE MARKET 76
7 AI IN AGRICULTURE MARKET, BY OFFERING 77
7.1 INTRODUCTION 78
FIGURE 32 AI-AS-A-SERVICE SEGMENT TO EXHIBIT HIGHEST CAGR BETWEEN 2023 AND 2028 78
TABLE 20 AI IN AGRICULTURE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 78
TABLE 21 AI IN AGRICULTURE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 78
7.2 HARDWARE 79
7.2.1 AVAILABILITY OF HIGH-TECH TOOLKITS FOR AGRICULTURAL APPLICATIONS TO BOOST MARKET 79
TABLE 22 HARDWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION) 79
TABLE 23 HARDWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION) 79
7.2.2 PROCESSOR 80
7.2.2.1 Need for highly advanced processors to run complex algorithms and translate them into useful information 80
7.2.3 STORAGE DEVICE 80
7.2.3.1 Requirement for high-capacity storage devices to store critical data generated through sensors and drones 80
7.2.4 NETWORK 80
7.2.4.1 Network systems include RAMs, memory boards, Ethernet adaptors, and interconnects 80
7.3 SOFTWARE 81
7.3.1 INSTALLATION OF SOFTWARE TO SYNTHESIZE DATA HELPFUL IN MAKING PROMPT DECISIONS TO DRIVE DEMAND 81
TABLE 24 SOFTWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION) 81
TABLE 25 SOFTWARE: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION) 81
7.3.2 AI PLATFORM 81
7.3.2.1 Adoption of AI platforms to fetch and store data from different sources to create consolidated data environment 81
7.3.3 AI SOLUTION 82
7.3.3.1 Commercialization of robust AI solutions by Alphabet, Siemens, Data RPM, and other players to contribute to segmental growth 82
7.4 AI-AS-A-SERVICE 82
7.4.1 INCLINATION TOWARD IMPLEMENTING EFFICIENT FARMING METHODS TO REDUCE WASTAGE AND INCREASE CROP YIELD TO DRIVE DEMAND FOR AIAAS 82
7.5 SERVICES 82
7.5.1 INCREASING REQUIREMENT FOR ONLINE AND OFFLINE SUPPORT SERVICES TO BOOST SEGMENTAL GROWTH 82
TABLE 26 SERVICES: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION) 83
TABLE 27 SERVICES: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION) 83
7.5.2 DEPLOYMENT & INTEGRATION 83
7.5.2.1 Rising adoption of software-integrated on-premises and cloud-based platforms by modern farmers to accelerate demand for deployment & integration services 83
7.5.3 SUPPORT & MAINTENANCE 83
7.5.3.1 Post-installation requirement to address operations-related issues to drive demand for support & maintenance services 83
8 AI IN AGRICULTURE MARKET, BY APPLICATION 84
8.1 INTRODUCTION 85
FIGURE 33 DRONE ANALYTICS SEGMENT TO RECORD HIGHEST CAGR IN AI IN AGRICULTURE MARKET, BY APPLICATION, DURING FORECAST PERIOD 85
TABLE 28 AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 85
TABLE 29 AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 86
8.2 PRECISION FARMING 86
8.2.1 FARMERS’ FOCUS ON INCREASING CROP YIELDS USING LIMITED RESOURCES TO INCREASE DEMAND FOR AI IN PRECISION FARMING 86
TABLE 30 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY TYPE, 2019–2022 (USD MILLION) 87
TABLE 31 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY TYPE, 2023–2028 (USD MILLION) 87
TABLE 32 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY REGION 2019–2022 (USD MILLION) 87
TABLE 33 PRECISION FARMING: AI IN AGRICULTURE MARKET, BY REGION 2023–2028 (USD MILLION) 88
TABLE 34 PRECISION FARMING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION) 88
TABLE 35 PRECISION FARMING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION) 88
TABLE 36 PRECISION FARMING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 89
TABLE 37 PRECISION FARMING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 89
TABLE 38 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 89
TABLE 39 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 90
TABLE 40 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 90
TABLE 41 PRECISION FARMING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 90
8.2.2 YIELD MONITORING 90
8.2.2.1 Integration of advanced sensors into yield monitoring solutions to track moisture and nutrient levels in soil 90
8.2.3 FIELD MAPPING 91
8.2.3.1 Adoption of AI-powered field mapping tools to record field boundaries and calculate surface area 91
8.2.4 CROP SCOUTING 91
8.2.4.1 Implementation of AI-enabled crop scouting tools to examine crop conditions and gain information on pests and crop injuries 91
8.2.5 WEATHER TRACKING & FORECASTING 91
8.2.5.1 Use of weather tracking and forecasting tools to gather information and predict weather conditions 91
8.2.6 IRRIGATION MANAGEMENT 92
8.2.6.1 Implementation of AI-based irrigation systems to achieve optimal yield and water conservation 92
8.3 LIVESTOCK MONITORING 92
8.3.1 INCORPORATION OF AI IN FEEDING AND HEAT STRESS MANAGEMENT SOLUTIONS AND MILKING ROBOTS TO FUEL MARKET GROWTH 92
TABLE 42 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 93
TABLE 43 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 93
TABLE 44 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022, (USD MILLION) 93
TABLE 45 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028, (USD MILLION) 94
TABLE 46 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 94
TABLE 47 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 94
TABLE 48 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 95
TABLE 49 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 95
TABLE 50 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 95
TABLE 51 LIVESTOCK MONITORING: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 96
8.4 DRONE ANALYTICS 96
8.4.1 USE OF AI-POWERED DRONES TO IDENTIFY INSECTS AND DISEASES AFFLICTING CROPS TO ACCELERATE MARKET GROWTH 96
TABLE 52 DRONE ANALYTICS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 96
TABLE 53 DRONE ANALYTICS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 97
TABLE 54 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION) 97
TABLE 55 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION) 97
TABLE 56 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 98
TABLE 57 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 98
TABLE 58 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 98
TABLE 59 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 99
TABLE 60 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 99
TABLE 61 DRONE ANALYTICS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 99
8.5 AGRICULTURE ROBOTS 99
8.5.1 INCREASED DEEP LEARNING CAPABILITIES OF AGRICULTURE ROBOTS TO CONTRIBUTE TO MARKET GROWTH 99
TABLE 62 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 100
TABLE 63 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 100
TABLE 64 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION) 100
TABLE 65 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION) 101
TABLE 66 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 101
TABLE 67 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 101
TABLE 68 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 102
TABLE 69 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 102
TABLE 70 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 102
TABLE 71 AGRICULTURE ROBOTS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 103
8.6 LABOR MANAGEMENT 103
8.6.1 REDUCTION IN PRODUCTION COSTS THROUGH LABOR MANAGEMENT SOFTWARE TO STIMULATE MARKET GROWTH 103
TABLE 72 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 103
TABLE 73 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 104
TABLE 74 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION) 104
TABLE 75 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION) 104
TABLE 76 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 105
TABLE 77 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 105
TABLE 78 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 105
TABLE 79 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 106
TABLE 80 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 106
TABLE 81 LABOR MANAGEMENT: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 106
8.7 OTHERS 107
8.7.1 SMART GREENHOUSE MANAGEMENT 107
8.7.2 SOIL MANAGEMENT 107
8.7.2.1 Moisture monitoring 108
8.7.2.2 Nutrient monitoring 108
8.7.3 FISH FARMING MANAGEMENT 108
TABLE 82 OTHERS: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 108
TABLE 83 OTHERS: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 109
TABLE 84 OTHERS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2019–2022 (USD MILLION) 109
TABLE 85 OTHERS: AI IN AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2023–2028 (USD MILLION) 109
TABLE 86 OTHERS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2019–2022 (USD MILLION) 110
TABLE 87 OTHERS: AI IN AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2023–2028 (USD MILLION) 110
TABLE 88 OTHERS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2019–2022 (USD MILLION) 110
TABLE 89 OTHERS: AI IN AGRICULTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2023–2028 (USD MILLION) 111
TABLE 90 OTHERS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2019–2022 (USD MILLION) 111
TABLE 91 OTHERS: AI IN AGRICULTURE MARKET IN ROW, BY REGION, 2023–2028 (USD MILLION) 111
9 AI IN AGRICULTURE MARKET, BY REGION 112
9.1 INTRODUCTION 113
FIGURE 34 ASIA PACIFIC COUNTRIES TO BE PROSPECTIVE MARKETS FOR AI IN AGRICULTURE DURING FORECAST PERIOD 113
TABLE 92 AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 114
TABLE 93 AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 114
9.2 NORTH AMERICA 115
FIGURE 35 NORTH AMERICA: AI IN AGRICULTURE MARKET SNAPSHOT 116
TABLE 94 NORTH AMERICA: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 116
TABLE 95 NORTH AMERICA: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 117
TABLE 96 NORTH AMERICA: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 117
TABLE 97 NORTH AMERICA: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 117
9.2.1 US 117
9.2.1.1 Presence of giant companies offering AI-powered solutions and services to boost market growth 117
9.2.2 CANADA 118
9.2.2.1 Federal investments and favorable regulatory environment framework to propel market 118
9.2.3 MEXICO 118
9.2.3.1 Limited water resources to accelerate demand for AI in agriculture sector 118
9.3 EUROPE 118
FIGURE 36 EUROPE: AI IN AGRICULTURE MARKET SNAPSHOT 119
TABLE 98 EUROPE: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 120
TABLE 99 EUROPE: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 120
TABLE 100 EUROPE: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 120
TABLE 101 EUROPE: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 121
9.3.1 UK 121
9.3.1.1 Investments by government in high-tech farming projects to stimulate market growth 121
9.3.2 GERMANY 121
9.3.2.1 High adoption of agricultural drones to monitor crops to propel market growth 121
9.3.3 FRANCE 122
9.3.3.1 Focus of startup companies on development of advanced technologies for agriculture sector to support market growth 122
9.3.4 ITALY 122
9.3.4.1 Limited water resources to encourage use of AI in agriculture sector 122
9.3.5 SPAIN 122
9.3.5.1 Government-run pilot projects encouraging adoption of AI in agriculture to boost market growth 122
9.3.6 REST OF EUROPE 123
9.4 ASIA PACIFIC 123
FIGURE 37 ASIA PACIFIC: AI IN AGRICULTURE MARKET SNAPSHOT 124
TABLE 102 ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 124
TABLE 103 ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 125
TABLE 104 ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 125
TABLE 105 ASIA PACIFIC: AI IN AGRICULTURE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 125
9.4.1 AUSTRALIA 126
9.4.1.1 Government support in agricultural development to promote market growth 126
9.4.2 CHINA 126
9.4.2.1 Inclination toward precision farming techniques to create opportunities for AI technology providers 126
9.4.3 JAPAN 127
9.4.3.1 Rise in urban farming practices to fuel growth of AI in agriculture market 127
9.4.4 SOUTH KOREA 127
9.4.4.1 Government funding and initiatives to develop smart farming technologies to support market growth 127
9.4.5 INDIA 127
9.4.5.1 Digital transformation of Indian agriculture sector to provide opportunities for AI technology providers 127
9.4.6 REST OF ASIA PACIFIC 128
9.5 REST OF THE WORLD 128
TABLE 106 ROW: AI IN AGRICULTURE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 128
TABLE 107 ROW: AI IN AGRICULTURE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 129
TABLE 108 ROW: AI IN AGRICULTURE MARKET, BY REGION, 2019–2022 (USD MILLION) 129
TABLE 109 ROW: AI IN AGRICULTURE MARKET, BY REGION, 2023–2028 (USD MILLION) 129
9.5.1 MIDDLE EAST & AFRICA 129
9.5.1.1 Increasing adoption of remote sensing and precision farming technologies to boost market 129
9.5.2 SOUTH AMERICA 130
9.5.2.1 Growing adoption of modern farming practices to drive market 130
10 COMPETITIVE LANDSCAPE 131
10.1 OVERVIEW 131
10.2 COMPANY REVENUE ANALYSIS, 2017–2021 131
FIGURE 38 FIVE-YEAR REVENUE ANALYSIS OF KEY PLAYERS, 2017–2021 131
10.3 MARKET SHARE ANALYSIS, 2022 132
FIGURE 39 SHARE OF MAJOR PLAYERS IN AI IN AGRICULTURE MARKET, 2022 132
TABLE 110 DEGREE OF COMPETITION 132
10.4 COMPANY EVALUATION QUADRANT 133
10.4.1 STARS 133
10.4.2 PERVASIVE PLAYERS 133
10.4.3 EMERGING LEADERS 133
10.4.4 PARTICIPANTS 133
FIGURE 40 COMPANY EVALUATION QUADRANT, 2022 134
10.5 COMPANY FOOTPRINT 134
TABLE 111 FOOTPRINTS OF COMPANIES 134
TABLE 112 APPLICATION FOOTPRINT OF COMPANIES 135
TABLE 113 REGION FOOTPRINT OF COMPANIES 136
10.6 SMES EVALUATION QUADRANT 137
10.6.1 PROGRESSIVE COMPANIES 137
10.6.2 RESPONSIVE COMPANIES 137
10.6.3 DYNAMIC COMPANIES 137
10.6.4 STARTING BLOCKS 137
FIGURE 41 SMES EVALUATION QUADRANT, 2022 138
10.7 SMES EVALUATION MATRIX 138
TABLE 114 DETAILED LIST OF KEY SMES 138
TABLE 115 COMPETITIVE BENCHMARKING OF KEY SMES 139
10.8 COMPETITIVE SCENARIO 139
10.8.1 PRODUCT LAUNCHES 139
TABLE 116 PRODUCT LAUNCHES, 2020–2022 139
10.8.2 DEALS 140
TABLE 117 DEALS, 2020–2022 140
11 COMPANY PROFILES 142
11.1 KEY PLAYERS 142
(Business overview, Products offered, Recent developments, Product launches, Deals, MnM view, Key strengths/Right to win, Strategic choices, and Weaknesses/Competitive threats)*
11.1.1 IBM 142
TABLE 118 IBM: COMPANY OVERVIEW 142
FIGURE 42 IBM: COMPANY SNAPSHOT 143
TABLE 119 IBM: PRODUCTS OFFERED 143
TABLE 120 IBM: PRODUCT LAUNCHES 144
TABLE 121 IBM: DEALS 144
11.1.2 DEERE & COMPANY 146
TABLE 122 DEERE & COMPANY: COMPANY OVERVIEW 146
FIGURE 43 DEERE & COMPANY: COMPANY SNAPSHOT 147
TABLE 123 DEERE & COMPANY: PRODUCTS OFFERED 147
TABLE 124 DEERE & COMPANY: DEALS 148
11.1.3 MICROSOFT 149
TABLE 125 MICROSOFT: COMPANY OVERVIEW 149
FIGURE 44 MICROSOFT: COMPANY SNAPSHOT 150
TABLE 126 MICROSOFT: PRODUCTS OFFERED 150
TABLE 127 MICROSOFT: DEALS 151
11.1.4 THE CLIMATE CORPORATION 153
TABLE 128 THE CLIMATE CORPORATION: COMPANY OVERVIEW 153
TABLE 129 THE CLIMATE CORPORATION: PRODUCTS OFFERED 153
TABLE 130 THE CLIMATE CORPORATION: PRODUCT LAUNCHES 154
TABLE 131 THE CLIMATE CORPORATION: DEALS 154
11.1.5 FARMERS EDGE INC. 156
TABLE 132 FARMERS EDGE INC.: COMPANY OVERVIEW 156
FIGURE 45 FARMERS EDGE INC.: COMPANY SNAPSHOT 156
TABLE 133 FARMERS EDGE INC.: PRODUCTS OFFERED 157
TABLE 134 FARMERS EDGE INC.: DEALS 157
TABLE 135 FARMERS EDGE INC.: OTHERS 158
11.1.6 GRANULAR INC. 159
TABLE 136 GRANULAR INC.: COMPANY OVERVIEW 159
TABLE 137 GRANULAR INC.: PRODUCTS OFFERED 159
11.1.7 AGEAGLE AERIAL SYSTEMS INC. 160
TABLE 138 AGEAGLE AERIAL SYSTEMS INC.: COMPANY OVERVIEW 160
FIGURE 46 AGEAGLE AERIAL SYSTEMS INC.: COMPANY SNAPSHOT 161
TABLE 139 AGEAGLE AERIAL SYSTEMS INC.: PRODUCTS OFFERED 161
TABLE 140 AGEAGLE AERIAL SYSTEMS INC.: OTHERS 162
11.1.8 DESCARTES LABS, INC. 163
TABLE 141 DESCARTES LABS, INC.: COMPANY OVERVIEW 163
TABLE 142 DESCARTES LABS, INC.: PRODUCTS OFFERED 163
TABLE 143 DESCARTES LABS, INC.: PRODUCT LAUNCHES 163
11.1.9 PROSPERA TECHNOLOGIES, INC. 164
TABLE 144 PROSPERA TECHNOLOGIES, INC.: COMPANY OVERVIEW 164
TABLE 145 PROSPERA TECHNOLOGIES, INC.: PRODUCTS OFFERED 164
TABLE 146 PROSPERA TECHNOLOGIES, INC.: OTHERS 164
11.1.10 TARANIS 165
TABLE 147 TARANIS: COMPANY OVERVIEW 165
TABLE 148 TARANIS: PRODUCTS OFFERED 165
TABLE 149 TARANIS: DEALS 165
TABLE 150 TARANIS: OTHERS 166
11.1.11 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED 167
TABLE 151 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: COMPANY OVERVIEW 167
TABLE 152 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: PRODUCTS OFFERED 167
TABLE 153 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: PRODUCT LAUNCHES 167
TABLE 154 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: DEALS 168
TABLE 155 CROPIN TECHNOLOGY SOLUTIONS PRIVATE LIMITED: OTHERS 169
11.2 OTHER KEY COMPANIES 170
11.2.1 GAMAYA 170
11.2.2 EC2CE 170
11.2.3 PRECISION HAWK 171
11.2.4 VINEVIEW 171
11.2.5 EVER.AG 172
11.2.6 TULE TECHNOLOGIES 172
11.2.7 RESSON AEROSPACE INC. 173
11.2.8 CONNECTERRA B.V. 173
11.2.9 VISION ROBOTICS CORPORATION 174
11.2.10 FARMBOT 174
11.2.11 HARVEST CROO ROBOTICS LLC 175
11.2.12 PROGRESSIVE ENVIRONMENTAL & AGRICULTURAL TECHNOLOGIES (PEAT) 175
11.2.13 TRACE GENOMICS 176
11.2.14 CROPX 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.
12 ADJACENT AND RELATED MARKETS 177
12.1 INTRODUCTION 177
12.2 STUDY LIMITATIONS 177
12.3 PRECISION FARMING MARKET, BY TECHNOLOGY 177
TABLE 156 PRECISION FARMING MARKET, BY TECHNOLOGY TYPE, 2018–2021 (USD MILLION) 178
TABLE 157 PRECISION FARMING MARKET, BY TECHNOLOGY TYPE, 2022–2030 (USD MILLION) 178
12.3.1 GUIDANCE TECHNOLOGY 178
12.3.1.1 GPS/GNSS-based guidance technology 179
12.3.1.1.1 Rising preference for using advanced technologies in agriculture industry to boost demand for GPS/GNSS-based guidance technology 179
12.3.1.2 GIS-based guidance technology 179
12.3.1.2.1 Increasing need to store data related to yields, soil survey maps, etc., to accelerate adoption of GIS-based guidance technology 179
12.3.2 REMOTE SENSING TECHNOLOGY 180
12.3.2.1 Handheld or ground-based sensing 181
12.3.2.1.1 Growing demand for and easy availability of handheld sensors to drive market growth 181
12.3.2.2 Satellite or aerial sensing 181
12.3.2.2.1 Ability of satellite sensing to provide quantitative and near-real-time information over large areas to drive adoption 181
12.3.3 VARIABLE RATE TECHNOLOGY (VRT) 182
12.3.3.1 MAP-based VRT 182
12.3.3.1.1 MAP-based VRT segment held largest market share in 2021 182
12.3.3.2 Sensor-based VRT 183
12.3.3.2.1 Use of sensor-based VRT to measure soil properties or crop characteristics 183
13 APPENDIX 184
13.1 DISCUSSION GUIDE 184
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 187
13.3 CUSTOMIZATION OPTIONS 189
13.4 RELATED REPORTS 189
13.5 AUTHOR DETAILS 190

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Summary

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.

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農業における人工知能市場：技術（機械学習、コンピュータビジョン、予測分析）、提供（ソフトウェア、AI-as-a-Service）、用途（ドローン分析、精密農業）、地域別 - 2028年までの世界予測

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ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

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