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Report
Asia Pacific Artificial Intelligence in Agriculture Market
Market Report I 2024-07-01 I 343 Pages I Data Bridge Market Research
Asia-Pacific Artificial Intelligence in Agriculture market is expected to reach USD 2,226.15 Million by 2031 from USD 431.52 Million in 2023, growing with a CAGR of 23.2% in the forecast period of 2024 to 2031.
Market Segmentation:
Asia-Pacific artificial intelligence in agriculture market, By Offering (Hardware, Software, and Services), Technology [Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Robotics & Automation, and Others], Application (Precision Farming, Livestock Monitoring, Weather Forecasting, Soil Management, Crop Health Monitoring, Supply Chain Optimization, and Others), Deployment Mode (Cloud, and On-Premise), End User (Farms, Agro-Tech Companies, Agrochemical Companies, Research Institutes, and Others), Countries (China, Japan, India, South Korea, Australia, Malaysia, Indonesia, New Zealand, Singapore, Thailand, Philippines, Vietnam, Taiwan and Rest of Asia-Pacific)-Industry Trends and Forecast to 2031
Overview of Asia-Pacific Artificial Intelligence in Agriculture Market Dynamics
Driver
- Increasing crop monitoring and yield prediction accuracy
Restraint
- Persistent data privacy and security concerns
Opportunity
- Integrating AI with hardware for better deployment
Market Players:
The key market players operating in the Asia-Pacific artificial intelligence in agriculture market are listed below:
- Deere & Company
- IBM
- Microsoft
- OpenAI
- Open Text Corporation
- ClimateAi,
- AgEagle Aerial Systems Inc
- CNH Industrial N.V.
- AGCO Corporation
- KUBOTA Corporation
- YANMAR HOLDINGS CO., LTD.
- DeLaval
- Lely
- Raven Industries, Inc.
- Gamaya, Bayer AG
- VALMONT INDUSTRIES, INC.
- Cisco Systems, Inc.
- Oracle
- Harvest CROO Robotics LLC
- ADM
- SYNGENTA ASIA- PACIFIC
- Corteva
- Bowery Farming Inc.
1 INTRODUCTION 72
1.1 OBJECTIVES OF THE STUDY 72
1.2 MARKET DEFINITION 72
1.3 OVERVIEW OF THE ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE 72
1.4 CURRENCY AND PRICING 74
1.5 LIMITATIONS 74
1.6 MARKETS COVERED 74
2 MARKET SEGMENTATION 79
2.1 MARKETS COVERED 79
2.2 GEOGRAPHICAL SCOPE 80
2.3 YEARS CONSIDERED FOR THE STUDY 81
2.4 DBMR TRIPOD DATA VALIDATION MODEL 82
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS 85
2.6 DBMR MARKET POSITION GRID 86
2.7 VENDOR SHARE ANALYSIS 87
2.8 MULTIVARIATE MODELING 88
2.9 OFFERING TIMELINE CURVE 89
2.10 SECONDARY SOURCES 90
2.11 ASSUMPTIONS 90
3 EXECUTIVE SUMMARY 91
4 PREMIUM INSIGHTS 96
4.1 PORTER'S FIVE FORCES ANALYSIS 97
4.2 REGULATORY STANDARDS 98
4.3 TECHNOLOGICAL TRENDS 99
4.4 COMPANY COMPARATIVE ANALYSIS 101
4.5 DEVICE LIFETIME 103
4.6 IMPORT AND EXPORT SHIPMENTS 104
4.7 VALUE CHAIN ANALYSIS 105
5 MARKET OVERVIEW 107
5.1 DRIVERS 109
5.1.1 INCREASING CROP MONITORING AND YIELD PREDICTION ACCURACY 109
5.1.2 INCREASING IMPLEMENTATION OF BETTER FARMING TECHNIQUES WITH AI 110
5.1.3 BOOSTING AGRICULTURAL EFFICIENCY WITH DATA-DRIVEN DECISIONS 110
5.1.4 IMPROVING PEST AND DISEASE MANAGEMENT WITH AI 112
5.2 RESTRAINTS 113
5.2.1 PERSISTENT DATA PRIVACY AND SECURITY CONCERNS 113
5.2.2 HIGH INITIAL INVESTMENT LIMITING TECHNOLOGY ADOPTION 114
5.3 OPPORTUNITIES 116
5.3.1 INTEGRATING AI WITH HARDWARE FOR BETTER DEPLOYMENT 116
5.3.2 INCREASE IN THE DEVELOPING AI TOOLS FOR MARKET PRICE FORECASTING 117
5.3.3 STRATEGIC PARTNERSHIPS ENHANCE AGRICULTURAL SOLUTIONS 117
5.4 CHALLENGES 119
5.4.1 LIMITED AVAILABILITY OF SKILLED PERSONNEL AFFECTS THE EFFECTIVE MANAGEMENT AND OPERATION OF AI TECHNOLOGIES 119
5.4.2 DIFFICULTY TOWARDS INTEGRATING AI SOLUTIONS WITH EXISTING AGRICULTURAL MACHINERY AND DURING SOFTWARE ADOPTION 120
6 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY OFFERING 121
6.1 OVERVIEW 122
6.2 HARDWARE 123
6.2.1 HARDWARE, BY TYPE 124
6.2.1.1 SENSORS 124
6.2.1.2 DRONE AND UAV's 124
6.2.1.3 ROBOT AND AUTONOMOUS MACHINERY 124
6.3 SOFTWARE 125
6.3.1 SOFTWARE, BY TYPE 125
6.3.1.1 FARM MANAGEMENT SOFTWARE 126
6.3.1.2 DATA ANALYTICS PLATFORMS 126
6.3.1.3 IMAGE PROCESSING SOFTWARE 126
6.4 SERVICES 127
6.4.1 SERVICES, BY TYPE 127
6.4.1.1 MANAGED SERVICES 128
6.4.1.1.1 MANAGED SERVICES, BY TYPE 128
6.4.1.1.1.1 DATA ANALYTICS 128
6.4.1.1.1.2 MONITORING 128
6.4.1.1.1.3 OTHERS 128
6.4.1.2 PROFESSIONAL SERVICES 129
6.4.1.2.1 PROFESSIONAL SERVICES, BY TYPE 129
6.4.1.2.1.1 IMPLEMENTATION 129
6.4.1.2.1.2 CONSULTING AND TRAINING 129
6.4.1.2.1.3 SUPPORT AND MAINTENANCE 129
7 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY TECHNOLOGY 130
7.1 OVERVIEW 131
7.2 MACHINE LEARNING (ML) 132
7.2.1 MACHINE LEARNING(ML), BY TYPE 133
7.2.1.1 PREDICTIVE ANALYTICS 133
7.2.1.2 ANOMALY DETECTION 133
7.2.1.3 DECISION SUPPORT SYSTEMS 133
7.2.1.4 CROP YIELD PREDICTIONS 133
7.3 COMPUTER VISION 134
7.3.1 COMPUTER VISION, BY TYPE 135
7.3.1.1 IMAGE RECOGNITION 135
7.3.1.2 OBJECT/INTRUSION DETECTION 135
7.3.1.3 AUTOMATED GRADING AND SORTING 135
7.3.1.4 PEST & DISEASE DETECTION 135
7.4 NATURAL LANGUAGE PROCESSING (NLP) 136
7.4.1 NATURAL LANGUAGE PROCESSING (NLP), BY TYPE 136
7.4.1.1 CHATBOT AND FARMER SUPPORT 137
7.4.1.2 VOICE RECOGNITION FOR MACHINERY CONTROL 137
7.5 ROBOTICS & AUTOMATION 138
7.5.1 ROBOTICS & AUTOMATION, BY TYPE 138
7.5.1.1 DRONE BASED MONITORING AND SPRAYING 139
7.5.1.2 ROBOTIC HARVESTING 139
7.5.1.3 AUTONOMOUS TRACTOR AND MACHINERY 139
7.6 OTHERS 139
8 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY APPLICATION 140
8.1 OVERVIEW 141
8.2 PRECISION FARMING 143
8.2.1 PRECISION FARMING, BY TYPE 143
8.2.1.1 VARIABLE RATE APPLICATION 144
8.2.1.2 CROP SCOUTING 144
8.2.1.3 FIELD MAPPING 144
8.3 LIVESTOCK MONITORING 144
8.3.1 LIVESTOCK MONITORING, BY TYPE 145
8.3.1.1 HEALTH MONITORING 145
8.3.1.2 BEHAVIOUR ANALYSIS 145
8.3.1.3 AUTOMATED FEEDING SYSTEMS 145
8.4 WEATHER FORECASTING 146
8.4.1 WEATHER FORECASTING, BY TYPE 146
8.4.1.1 CLIMATE PREDICTION 147
8.4.1.2 WEATHER PATTERN ANALYSIS 147
8.5 SOIL MANAGEMENT 147
8.5.1 SOIL MANAGEMENT, BY TYPE 148
8.5.1.1 SOIL CONDITION MONITORING 148
8.5.1.2 IRRIGATION MANAGEMENT 148
8.5.1.3 NUTRIENT MANAGEMENT 148
8.6 CROP HEALTH MONITORING 149
8.6.1 CROP HEALTH MONITORING, BY TYPE 149
8.6.1.1 DISEASE AND PEST DETECTION 150
8.6.1.2 PLANT STRESS ANALYSIS 150
8.6.1.3 NUTRIENT DEFICIENCY IDENTIFICATION 150
8.7 SUPPLY CHAIN OPTIMIZATION 150
8.7.1 SUPPLY CHAIN OPTIMIZATION, BY TYPE 151
8.7.1.1 INVENTORY MANAGEMENT 151
8.7.1.2 TRANSPORTATION AND LOGISTICS 151
8.7.1.3 DEMAND FORECASTING 151
8.8 OTHERS 152
9 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY DEPLOYMENT MODE 153
9.1 OVERVIEW 154
9.2 CLOUD 155
9.3 ON-PREMISE 156
10 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY END USER 157
10.1 OVERVIEW 158
10.2 FARMS 159
10.3 AGRO-TECH COMPANIES 160
10.4 AGRO CHEMICAL COMPANIES 161
10.5 RESEARCH INSTITUTES 162
10.6 OTHERS 163
11 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY REGION 164
11.1 ASIA-PACIFIC 166
11.1.1 CHINA 176
11.1.2 JAPAN 184
11.1.3 INDIA 192
11.1.4 SOUTH KOREA 200
11.1.5 AUSTRALIA 208
11.1.6 MALAYSIA 216
11.1.7 INDONESIA 224
11.1.8 NEW ZEALAND 232
11.1.9 SINGAPORE 240
11.1.10 THAILAND 247
11.1.11 PHILIPPINES 255
11.1.12 VIETNAM 263
11.1.13 TAIWAN 271
11.1.14 REST OF ASIA-PACIFIC 277
12 ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, COMPANY LANDSCAPE 278
12.1 COMPANY SHARE ANALYSIS: ASIA-PACIFIC 278
13 SWOT ANALYSIS 279
14 COMPANY PROFILE 280
14.1 OPEN TEXT CORPORATION 280
14.1.1 COMPANY SNAPSHOT 280
14.1.2 REVENUE ANALYSIS 280
14.1.3 COMPANY SHARE ANALYSIS 281
14.1.4 PRODUCT PORTFOLIO 281
14.1.5 RECENT DEVELOPMENTS 281
14.2 VALMONT INDUSTRIES, INC. 282
14.2.1 COMPANY SNAPSHOT 282
14.2.2 REVENUE ANALYSIS 282
14.2.3 COMPANY SHARE ANALYSIS 283
14.2.4 SOLUTION PORTFOLIO 283
14.2.5 RECENT DEVELOPMENTS 284
14.3 OPENAI 285
14.3.1 COMPANY SNAPSHOT 285
14.3.2 COMPANY SHARE ANALYSIS 285
14.3.3 PRODUCT PORTFOLIO 285
14.3.4 RECENT DEVELOPMENTS 286
14.4 AGCO CORPORATION 287
14.4.1 COMPANY SNAPSHOT 287
14.4.2 REVENUE ANALYSIS 287
14.4.3 COMPANY SHARE ANALYSIS 288
14.4.4 BRAND PORTFOLIO 288
14.4.5 RECENT DEVELOPMENT 288
14.5 IBM 290
14.5.1 COMPANY SNAPSHOT 290
14.5.2 REVENUE ANALYSIS 290
14.5.3 COMPANY SHARE ANALYSIS 291
14.5.4 SOLUTION PORTFOLIO 291
14.5.5 RECENT DEVELOPMENTS 291
14.6 ADM 293
14.6.1 COMPANY SNAPSHOT 293
14.6.2 REVENUE ANALYSIS 293
14.6.3 PRODUCT PORTFOLIO 294
14.6.4 RECENT DEVELOPMENT 294
14.7 AGEAGLE AERIAL SYSTEMS INC 295
14.7.1 COMPANY SNAPSHOT 295
14.7.2 REVENUE ANALYSIS 295
14.7.3 PRODUCT PORTFOLIO 296
14.7.4 RECENT DEVELOPMENTS 296
14.8 ALPHABET INC. 297
14.8.1 COMPANY SNAPSHOT 297
14.8.2 REVENUE ANALYSIS 297
14.8.3 PRODUCT PORTFOLIO 298
14.8.4 RECENT DEVELOPMENTS 298
14.9 BAYER AG 299
14.9.1 COMPANY SNAPSHOT 299
14.9.2 REVENUE ANALYSIS 299
14.9.3 SOLUTION PORTFOLIO 300
14.9.4 RECENT DEVELOPMENTS 300
14.10 BOWERY FARMING INC. 302
14.10.1 COMPANY SNAPSHOT 302
14.10.2 PRODUCT PORTFOLIO 302
14.10.3 RECENT DEVELOPMENTS 303
14.11 CISCO SYSTEMS, INC. 304
14.11.1 COMPANY SNAPSHOT 304
14.11.2 REVENUE ANALYSIS 304
14.11.3 SOLUTION PORTFOLIO 305
14.11.4 RECENT DEVELOPMENTS 305
14.12 CLIMATE AI 306
14.12.1 COMPANY SNAPSHOT 306
14.12.2 SOLUTION PORTFOLIO 306
14.12.3 RECENT DEVELOPMENT 306
14.13 CNH INDUSTRIAL N.V. 307
14.13.1 COMPANY SNAPSHOT 307
14.13.2 REVENUE ANALYSIS 307
14.13.3 BRAND PORTFOLIO 308
14.13.4 RECENT DEVELOPMENT 308
14.14 CORTEVA 309
14.14.1 COMPANY SNAPSHOT 309
14.14.2 REVENUE ANALYSIS 309
14.14.3 PRODUCT PORTFOLIO 310
14.14.4 RECENT DEVELOPMENTS 310
14.15 DEERE & COMPANY 312
14.15.1 COMPANY SNAPSHOT 312
14.15.2 REVENUE ANALYSIS 312
14.15.3 PRODUCT PORTFOLIO 313
14.15.4 RECENT DEVELOPMENTS 314
14.16 DELAVAL 315
14.16.1 COMPANY SNAPSHOT 315
14.16.2 SOLUTION PORTFOLIO 315
14.16.3 RECENT DEVELOPMENTS 316
14.17 GAMAYA 317
14.17.1 COMPANY SNAPSHOT 317
14.17.2 PRODUCT PORTFOLIO 317
14.17.3 RECENT DEVELOPMENTS 317
14.18 HARVEST CROO ROBOTICS LLC. 318
14.18.1 COMPANY SNAPSHOT 318
14.18.2 PRODUCT PORTFOLIO 318
14.18.3 RECENT DEVELOPMENT 319
14.19 KUBOTA CORPORATION 320
14.19.1 COMPANY SNAPSHOT 320
14.19.2 REVENUE ANALYSIS 321
14.19.3 PRODUCT & SOLUTION PORTFOLIO 321
14.19.4 RECENT DEVELOPMENTS 321
14.20 LELY 322
14.20.1 COMPANY SNAPSHOT 322
14.20.2 REVENUE ANALYSIS 322
14.20.3 SOLUTION PORTFOLIO 323
14.20.4 RECENT DEVELOPMENTS 323
14.21 MICROSOFT 324
14.21.1 COMPANY SNAPSHOT 324
14.21.2 REVENUE ANALYSIS 324
14.21.3 PRODUCT PORTFOLIO 325
14.21.4 RECENT DEVELOPMENTS 325
14.22 ORACLE 327
14.22.1 COMPANY SNAPSHOT 327
14.22.2 REVENUE ANALYSIS 327
14.22.3 SERVICE PORTFOLIO 328
14.22.4 RECENT DEVELOPMENTS 328
14.23 RAVEN INDUSTRIES, INC. (A SUBSIDIARY OF CNH) 329
14.23.1 COMPANY SNAPSHOT 329
14.23.2 SERVICE PORTFOLIO 329
14.23.3 RECENT DEVELOPMENTS 333
14.24 SYNGENTA AG GROUP 334
14.24.1 COMPANY SNAPSHOT 334
14.24.2 REVENUE ANALYSIS 334
14.24.3 PRODUCT PORTFOLIO 335
14.24.4 RECENT DEVELOPMENTS 335
14.25 YANMAR HOLDING CO., LTD. 337
14.25.1 COMPANY SNAPSHOT 337
14.25.2 PRODUCT & SERVICES PORTFOLIO 337
14.25.3 RECENT DEVELOPMENTS 338
15 QUESTIONNAIRE 339
16 RELATED REPORTS 343
14.21 MICROSOFT 324
14.21.1 COMPANY SNAPSHOT 324
14.21.2 REVENUE ANALYSIS 324
14.21.3 PRODUCT PORTFOLIO 325
14.21.4 RECENT DEVELOPMENTS 325
14.22 ORACLE 327
14.22.1 COMPANY SNAPSHOT 327
14.22.2 REVENUE ANALYSIS 327
14.22.3 SERVICE PORTFOLIO 328
14.22.4 RECENT DEVELOPMENTS 328
14.23 RAVEN INDUSTRIES, INC. (A SUBSIDIARY OF CNH) 329
14.23.1 COMPANY SNAPSHOT 329
14.23.2 SERVICE PORTFOLIO 329
14.23.3 RECENT DEVELOPMENTS 333
14.24 SYNGENTA AG GROUP 334
14.24.1 COMPANY SNAPSHOT 334
14.24.2 REVENUE ANALYSIS 334
14.24.3 PRODUCT PORTFOLIO 335
14.24.4 RECENT DEVELOPMENTS 335
14.25 YANMAR HOLDING CO., LTD. 337
14.25.1 COMPANY SNAPSHOT 337
14.25.2 PRODUCT & SERVICES PORTFOLIO 337
14.25.3 RECENT DEVELOPMENTS 338
15 QUESTIONNAIRE 339
16 RELATED REPORTS 343
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