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Report
Middle East and Africa Artificial Intelligence in Agriculture Market
Market Report I 2024-07-01 I 305 Pages I Data Bridge Market Research
Middle East and Africa Artificial Intelligence in Agriculture market is expected to reach USD 247.62 Million by 2031 from USD 57.27 Million in 2023, growing with a CAGR of 20.6% in the forecast period of 2024 to 2031.
Market Segmentation:
Middle East and Africa 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 (Saudi Arabia, South Africa, U.A.E., Israel, Egypt, Qatar, Oman, Kuwait, Bahrain, rest of Middle East and Africa)-Industry Trends and Forecast to 2031
Overview of Middle East and Africa 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 Middle East and Africa 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 GLOBAL
- Corteva
- Bowery Farming Inc.
1 INTRODUCTION 72
1.1 OBJECTIVES OF THE STUDY 72
1.2 MARKET DEFINITION 72
1.3 OVERVIEW OF THE MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY DEPLOYMENT MODE 153
9.1 OVERVIEW 154
9.2 CLOUD 155
9.3 ON-PREMISE 156
10 MIDDLE EAST AND AFRICA 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 MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, BY REGION 164
11.1 MIDDLE EAST AND AFRICA 166
11.1.1 SAUDI ARABIA 175
11.1.2 SOUTH AFRICA 183
11.1.3 U.A.E 191
11.1.4 ISRAEL 199
11.1.5 EGYPT 207
11.1.6 QATAR 214
11.1.7 OMAN 221
11.1.8 KUWAIT 227
11.1.9 BAHRAIN 233
11.1.10 REST OF MIDDLE EAST AND AFRICA 239
12 MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN AGRICULTURE MARKET, COMPANY LANDSCAPE 240
12.1 COMPANY SHARE ANALYSIS: MIDDLE EAST AND AFRICA 240
13 SWOT ANALYSIS 241
14 COMPANY PROFILE 242
14.1 OPEN TEXT CORPORATION 242
14.1.1 COMPANY SNAPSHOT 242
14.1.2 REVENUE ANALYSIS 242
14.1.3 COMPANY SHARE ANALYSIS 243
14.1.4 PRODUCT PORTFOLIO 243
14.1.5 RECENT DEVELOPMENTS 243
14.2 VALMONT INDUSTRIES, INC. 244
14.2.1 COMPANY SNAPSHOT 244
14.2.2 REVENUE ANALYSIS 244
14.2.3 COMPANY SHARE ANALYSIS 245
14.2.4 SOLUTION PORTFOLIO 245
14.2.5 RECENT DEVELOPMENTS 246
14.3 OPENAI 247
14.3.1 COMPANY SNAPSHOT 247
14.3.2 COMPANY SHARE ANALYSIS 247
14.3.3 PRODUCT PORTFOLIO 247
14.3.4 RECENT DEVELOPMENTS 248
14.4 AGCO CORPORATION 249
14.4.1 COMPANY SNAPSHOT 249
14.4.2 REVENUE ANALYSIS 249
14.4.3 COMPANY SHARE ANALYSIS 250
14.4.4 BRAND PORTFOLIO 250
14.4.5 RECENT DEVELOPMENT 250
14.5 IBM 252
14.5.1 COMPANY SNAPSHOT 252
14.5.2 REVENUE ANALYSIS 252
14.5.3 COMPANY SHARE ANALYSIS 253
14.5.4 SOLUTION PORTFOLIO 253
14.5.5 RECENT DEVELOPMENTS 253
14.6 ADM 255
14.6.1 COMPANY SNAPSHOT 255
14.6.2 REVENUE ANALYSIS 255
14.6.3 PRODUCT PORTFOLIO 256
14.6.4 RECENT DEVELOPMENT 256
14.7 AGEAGLE AERIAL SYSTEMS INC 257
14.7.1 COMPANY SNAPSHOT 257
14.7.2 REVENUE ANALYSIS 257
14.7.3 PRODUCT PORTFOLIO 258
14.7.4 RECENT DEVELOPMENTS 258
14.8 ALPHABET INC. 259
14.8.1 COMPANY SNAPSHOT 259
14.8.2 REVENUE ANALYSIS 259
14.8.3 PRODUCT PORTFOLIO 260
14.8.4 RECENT DEVELOPMENTS 260
14.9 BAYER AG 261
14.9.1 COMPANY SNAPSHOT 261
14.9.2 REVENUE ANALYSIS 261
14.9.3 SOLUTION PORTFOLIO 262
14.9.4 RECENT DEVELOPMENTS 262
14.10 BOWERY FARMING INC. 264
14.10.1 COMPANY SNAPSHOT 264
14.10.2 PRODUCT PORTFOLIO 264
14.10.3 RECENT DEVELOPMENTS 265
14.11 CISCO SYSTEMS, INC. 266
14.11.1 COMPANY SNAPSHOT 266
14.11.2 REVENUE ANALYSIS 266
14.11.3 SOLUTION PORTFOLIO 267
14.11.4 RECENT DEVELOPMENTS 267
14.12 CLIMATE AI 268
14.12.1 COMPANY SNAPSHOT 268
14.12.2 SOLUTION PORTFOLIO 268
14.12.3 RECENT DEVELOPMENT 268
14.13 CNH INDUSTRIAL N.V. 269
14.13.1 COMPANY SNAPSHOT 269
14.13.2 REVENUE ANALYSIS 269
14.13.3 BRAND PORTFOLIO 270
14.13.4 RECENT DEVELOPMENT 270
14.14 CORTEVA 271
14.14.1 COMPANY SNAPSHOT 271
14.14.2 REVENUE ANALYSIS 271
14.14.3 PRODUCT PORTFOLIO 272
14.14.4 RECENT DEVELOPMENTS 272
14.15 DEERE & COMPANY 274
14.15.1 COMPANY SNAPSHOT 274
14.15.2 REVENUE ANALYSIS 274
14.15.3 PRODUCT PORTFOLIO 275
14.15.4 RECENT DEVELOPMENTS 276
14.16 DELAVAL 277
14.16.1 COMPANY SNAPSHOT 277
14.16.2 SOLUTION PORTFOLIO 277
14.16.3 RECENT DEVELOPMENTS 278
14.17 GAMAYA 279
14.17.1 COMPANY SNAPSHOT 279
14.17.2 PRODUCT PORTFOLIO 279
14.17.3 RECENT DEVELOPMENTS 279
14.18 HARVEST CROO ROBOTICS LLC. 280
14.18.1 COMPANY SNAPSHOT 280
14.18.2 PRODUCT PORTFOLIO 280
14.18.3 RECENT DEVELOPMENT 281
14.19 KUBOTA CORPORATION 282
14.19.1 COMPANY SNAPSHOT 282
14.19.2 REVENUE ANALYSIS 283
14.19.3 PRODUCT & SOLUTION PORTFOLIO 283
14.19.4 RECENT DEVELOPMENTS 283
14.20 LELY 284
14.20.1 COMPANY SNAPSHOT 284
14.20.2 REVENUE ANALYSIS 284
14.20.3 SOLUTION PORTFOLIO 285
14.20.4 RECENT DEVELOPMENTS 285
14.21 MICROSOFT 286
14.21.1 COMPANY SNAPSHOT 286
14.21.2 REVENUE ANALYSIS 286
14.21.3 PRODUCT PORTFOLIO 287
14.21.4 RECENT DEVELOPMENTS 287
14.22 ORACLE 289
14.22.1 COMPANY SNAPSHOT 289
14.22.2 REVENUE ANALYSIS 289
14.22.3 SERVICE PORTFOLIO 290
14.22.4 RECENT DEVELOPMENTS 290
14.23 RAVEN INDUSTRIES, INC. (A SUBSIDIARY OF CNH) 291
14.23.1 COMPANY SNAPSHOT 291
14.23.2 SERVICE PORTFOLIO 291
14.23.3 RECENT DEVELOPMENTS 295
14.24 SYNGENTA AG GROUP 296
14.24.1 COMPANY SNAPSHOT 296
14.24.2 REVENUE ANALYSIS 296
14.24.3 PRODUCT PORTFOLIO 297
14.24.4 RECENT DEVELOPMENTS 297
14.25 YANMAR HOLDING CO., LTD. 299
14.25.1 COMPANY SNAPSHOT 299
14.25.2 PRODUCT & SERVICES PORTFOLIO 299
14.25.3 RECENT DEVELOPMENTS 300
15 QUESTIONNAIRE 301
16 RELATED REPORTS 305
14.21.4 RECENT DEVELOPMENTS 287
14.22 ORACLE 289
14.22.1 COMPANY SNAPSHOT 289
14.22.2 REVENUE ANALYSIS 289
14.22.3 SERVICE PORTFOLIO 290
14.22.4 RECENT DEVELOPMENTS 290
14.23 RAVEN INDUSTRIES, INC. (A SUBSIDIARY OF CNH) 291
14.23.1 COMPANY SNAPSHOT 291
14.23.2 SERVICE PORTFOLIO 291
14.23.3 RECENT DEVELOPMENTS 295
14.24 SYNGENTA AG GROUP 296
14.24.1 COMPANY SNAPSHOT 296
14.24.2 REVENUE ANALYSIS 296
14.24.3 PRODUCT PORTFOLIO 297
14.24.4 RECENT DEVELOPMENTS 297
14.25 YANMAR HOLDING CO., LTD. 299
14.25.1 COMPANY SNAPSHOT 299
14.25.2 PRODUCT & SERVICES PORTFOLIO 299
14.25.3 RECENT DEVELOPMENTS 300
15 QUESTIONNAIRE 301
16 RELATED REPORTS 305
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