1 INTRODUCTION 21
1.1 STUDY OBJECTIVES 21
1.2 MARKET DEFINITION AND SCOPE 21
1.2.1 INCLUSIONS AND EXCLUSIONS 22
1.3 STUDY SCOPE 23
1.3.1 YEARS CONSIDERED 24
1.4 CURRENCY 24
1.5 STAKEHOLDERS 24

2 RESEARCH METHODOLOGY 25
2.1 RESEARCH DATA 25
2.1.1 SECONDARY DATA 26
2.1.1.1 Major secondary sources 26
2.1.1.2 Key data from secondary sources 27
2.1.2 PRIMARY DATA 27
2.1.2.1 Key data from primary sources 28
2.1.2.2 Breakdown of primaries 28
2.1.3 SECONDARY AND PRIMARY RESEARCH 29
2.1.3.1 Key industry insights 30
2.2 MARKET SIZE ESTIMATION 30
2.2.1 BOTTOM-UP APPROACH 31
2.2.2 TOP-DOWN APPROACH 32
2.2.3 MARKET PROJECTIONS 33
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 34
2.4 RESEARCH ASSUMPTIONS AND LIMITATIONS 35
2.4.1 ASSUMPTIONS 35
2.4.2 LIMITATIONS 35

3 EXECUTIVE SUMMARY 36

4 PREMIUM INSIGHTS 40
4.1 ATTRACTIVE OPPORTUNITIES IN AGRICULTURAL ROBOTS MARKET 40
4.2 AGRICULTURAL ROBOTS MARKET, BY TYPE 40
4.3 AGRICULTURAL ROBOTS MARKET, BY OFFERING 41
4.4 AGRICULTURAL ROBOTS MARKET, BY FARM PRODUCE 41
4.5 AGRICULTURAL ROBOTS MARKET IN APAC, BY INDUSTRY AND BY COUNTRY 42
4.6 AGRICULTURAL ROBOTS MARKET, BY COUNTRY 43
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5 MARKET OVERVIEW 44
5.1 MARKET EVOLUTION 44
5.2 MARKET DYNAMICS 45
5.2.1 DRIVERS 47
5.2.1.1 Growing population and increasing labor shortage encouraging automation 47
5.2.1.2 Maturing IoT and navigation technologies are driving down cost of automation 47
5.2.2 RESTRAINTS 48
5.2.2.1 High cost of automation for small farms (10–1,000 acres) 48
5.2.2.2 Technological barriers pertaining to fully autonomous robots 48
5.2.3 OPPORTUNITIES 48
5.2.3.1 Untapped scope and market potential for automation in agriculture 48
5.2.3.2 Use of real-time multimodal robot systems in field 49
5.2.4 CHALLENGES 49
5.2.4.1 Concerns over data privacy and regulations 49
5.2.4.2 High cost and complexity of fully autonomous robots 50

6 INDUSTRY TRENDS 51
6.1 INTRODUCTION 51
6.2 VALUE CHAIN ANALYSIS 51
6.2.1 MAJOR PLAYERS IN AGRICULTURAL ROBOTS MARKET 53
6.2.1.1 Robot OEMs 53
6.2.1.2 Suppliers 53
6.2.1.3 IT/big data companies 53
6.2.1.4 Software solution providers 53
6.2.1.5 Startups 53
6.2.1.6 Research centers 53
6.3 TECHNOLOGY ROADMAP 54
6.4 PESTLE ANALYSIS 54
6.4.1 POLITICAL FACTORS 54
6.4.2 ECONOMIC FACTORS 55
6.4.3 SOCIAL FACTORS 55
6.4.4 TECHNOLOGICAL FACTORS 55
6.4.4.1 Agricultural IoT 56
6.4.4.2 AI in agriculture 56
6.4.5 LEGAL FACTORS 57
6.4.6 ENVIRONMENTAL FACTORS 57
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7 AGRICULTURAL ROBOTS MARKET, BY OFFERING 58
7.1 INTRODUCTION 59
7.2 HARDWARE 60
7.2.1 AUTOMATION & CONTROL SYSTEMS 61
7.2.1.1 Displays 62
7.2.1.1.1 Farmers can view location, fuel, and steering angle of tractors through displays 62
7.2.1.2 Guidance & steering 63
7.2.1.2.1 Many tractors that operate in large fields utilize automated steering or auto-steering 63
7.2.1.3 GPS/GNSS systems 63
7.2.1.3.1 GPS/GNSS systems are used in tractors and autonomous vehicles at farms 63
7.2.1.4 Cameras 63
7.2.1.4.1 Spectral imaging allows extraction of information that human eyes fail to capture 64
7.2.1.4.2 Accumulation of pests and changes in plant color appear in infrared frequencies long before they are seen in visible spectrum 64
7.2.1.4.3 Thermal cameras can identify stress caused in crops due to improper water supply 65
7.2.1.4.4 Main benefit of LiDAR cameras in agriculture is 3D mapping of ground elevation 65
7.2.1.4.5 High-resolution cameras capture detailed and colored photographs of crops that help in studying plant health 65
7.2.1.5 Mobile devices/handheld computers 65
7.2.1.5.1 Handheld displays are used to guide operators by providing real-time information on various inputs such as fertilizers, pesticides, and seeding 65
7.2.1.6 Flow & application control devices 66
7.2.1.6.1 Flow & application control devices operate on variable rate technology (VRT) 66
7.2.1.7 Others 66
7.2.2 SENSING & MONITORING DEVICES 66
7.2.2.1 Yield monitors 67
7.2.2.1.1 Yield monitoring systems can detect weed levels in crops 67
7.2.2.2 Soil sensors 67
7.2.2.2.1 Electrochemical sensors are used to measure soil nutrient levels and pH concentrations 68
7.2.2.2.2 Moisture sensors are used to manage irrigation systems optimally 68
7.2.2.2.3 Thermistors, thermocouples, thermocouple wires, and averaging thermocouples are standard soil temperature sensors 68
7.2.2.3 Water sensors 69
7.2.2.3.1 Flow sensors are used for water sensing and detecting flow 69
7.2.2.4 Climate sensors 69
7.2.2.4.1 Climate sensors are mostly used for indoor applications in greenhouses and vertical farms 69
7.2.2.5 Others 69
7.2.3 SOFTWARE 69
7.2.3.1 Local/web-based software 71
7.2.3.1.1 Web-based software are popular because they are easy to maintain and update 71
7.2.3.2 Cloud-based software 71
7.2.3.2.1 Advantages offered by cloud-based farm management solutions include optimized performance and ease of access 71
7.3 SERVICES 72
7.3.1 SYSTEM INTEGRATION & CONSULTING 73
7.3.1.1 System integrators are involved in troubleshooting and diagnosing farm management solutions 73
7.3.2 MANAGED SERVICES 73
7.3.2.1 Farm operation services 74
7.3.2.1.1 Farm operation services help generate records and integrate unstructured data 74
7.3.2.2 Data services 75
7.3.2.2.1 Data services provide a common platform and integrate demand and supply side participants 75
7.3.2.3 Analytics services 75
7.3.2.3.1 Analytics services help analyze acquired farm data and provide real-time information 75
7.3.3 CONNECTIVITY SERVICES 76
7.3.3.1 Connectivity service providers provide proper connectivity between device domain and end user through network channel 76
7.3.4 ASSISTED PROFESSIONAL SERVICES 76
7.3.4.1 Supply chain management services 76
7.3.4.1.1 Service providers can help optimize agricultural supply chain facilities and transportation 76
7.3.4.2 Climate information services 76
7.3.4.2.1 Climate information service providers keep farmers updated about weather condition 76
7.3.4.3 Others 77
7.3.5 MAINTENANCE & SUPPORT SERVICES 77
7.3.5.1 Maintenance & support services include troubleshooting problems related to farming software solutions 77
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8 AGRICULTURAL ROBOTS MARKET, BY TYPE 78
8.1 INTRODUCTION 79
8.2 UNMANNED AERIAL VEHICLES (UAVS)/DRONES 80
8.2.1 FIXED-WING DRONES 86
8.2.1.1 Advantages of fixed-wing drones include maximum flying time, long distance coverage, and high speed 86
8.2.2 ROTARY BLADE DRONES 86
8.2.2.1 Rotary blade drones are comparatively smaller in size and cheaper than fixed-wing drones 86
8.2.3 HYBRID DRONES 86
8.2.3.1 Hybrid drones can hover, fly at fast speed, and remain steady 86
8.3 MILKING ROBOTS 87
8.3.1 MILKING ROBOTS ARE ALSO KNOWN AS VOLUNTARY MILKING SYSTEMS 87
8.4 DRIVERLESS TRACTORS 90
8.4.1 DRIVERLESS TRACTORS CAN PERFORM SEEDING AND PLANTING AUTONOMOUSLY 90
8.5 AUTOMATED HARVESTING SYSTEMS 95
8.5.1 AUTOMATED HARVESTING SYSTEMS USE A COMBINATION OF CAMERAS, SENSORS, AND MACHINE VISION TO HARVEST 95
8.6 OTHERS 99
9 AGRICULTURAL ROBOTS MARKET, BY FARMING ENVIRONMENT 104
9.1 INTRODUCTION 105
9.2 OUTDOOR 106
9.2.1 UAVS DOMINATE OUTDOOR FARMING MARKET AS THEY WERE COMMERCIALIZED EARLIER THAN OTHER ROBOTS 106
9.3 INDOOR 107
9.3.1 MILKING ROBOTS ARE EXPECTED TO HAVE LEADING SHARE IN INDOOR FARMING 107
10 AGRICULTURAL ROBOTS MARKET, BY FARM PRODUCE 109
10.1 INTRODUCTION 110
10.2 FRUITS & VEGETABLES 111
10.2.1 AUTOMATED HARVESTING SYSTEMS DOMINATE AGRICULTURAL ROBOTS MARKET FOR FRUITS & VEGETABLES 111
10.3 FIELD CROPS 113
10.3.1 DRIVERLESS TRACTORS DOMINATE AGRICULTURAL ROBOTS MARKET FOR FIELD CROPS 113
10.4 DAIRY & LIVESTOCK 114
10.4.1 MILKING ROBOTS ARE THE MOST USED ROBOTS IN DAIRY & LIVESTOCK PRODUCE SEGMENT 114
10.5 OTHERS 115
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11 AGRICULTURAL ROBOTS MARKET, BY APPLICATION 117
11.1 INTRODUCTION 118
11.2 HARVEST MANAGEMENT 119
11.2.1 HARVEST MANAGEMENT APPLICATIONS UTILIZE UAVS AND AUTOMATED HARVESTING SYSTEMS 119
11.3 FIELD FARMING 121
11.3.1 CROP MONITORING 122
11.3.1.1 Crop monitoring is performed aerially using agricultural drones 122
11.3.2 PLANT SCOUTING 122
11.3.2.1 AGV platforms are used for crop scouting in indoor and outdoor environments 122
11.3.3 CROP SCOUTING 123
11.3.3.1 Robots for crop scouting application monitor plants in real time 123
11.4 DAIRY & LIVESTOCK MANAGEMENT 123
11.4.1 DAIRY FARM MANAGEMENT 124
11.4.1.1 Milking robots automate manual processes in dairy farms 124
11.4.2 LIVESTOCK MONITORING 124
11.4.2.1 Smart tags placed in farm animals continuously transmit data for remote monitoring 124
11.4.3 PRECISION FISH FARMING 124
11.4.3.1 Precision fish farming leverages AI-based image processing to perform various farm operations 124
11.5 SOIL MANAGEMENT 125
11.5.1 MOISTURE MONITORING 126
11.5.1.1 Moisture monitoring systems are fitted with IoT sensors for data transmission 126
11.5.2 NUTRIENT MONITORING 126
11.5.2.1 Nutrient monitoring systems are mostly used in hydroponic farming 126
11.6 IRRIGATION MANAGEMENT 127
11.6.1 IRRIGATION MANAGEMENT IS PERFORMED USING DRONES FLYING AT REGULAR INTERVALS 127
11.7 PRUNING MANAGEMENT 128
11.7.1 PRUNING MANAGEMENT IS PERFORMED MAINLY BY PROCESSING DATA FROM VISION SYSTEMS 128
11.8 WEATHER TRACKING & MONITORING 130
11.8.1 DRONES ARE MAINLY ADOPTED FOR WEATHER TRACKING & MONITORING APPLICATIONS 130
11.9 INVENTORY MANAGEMENT 131
11.9.1 INVENTORY MANAGEMENT IS MAINLY PERFORMED THROUGH SOFTWARE APPLICATIONS 131
11.10 OTHERS 132
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12 GEOGRAPHIC ANALYSIS 134
12.1 INTRODUCTION 135
12.2 AMERICAS 137
12.2.1 NORTH AMERICA 140
12.2.1.1 US 140
12.2.1.1.1 US is one of the largest markets for agricultural automation in North America 140
12.2.1.2 Canada 140
12.2.1.2.1 Drones are increasingly being used in Canada for agricultural applications 140
12.2.1.3 Mexico 141
12.2.1.3.1 Crop mapping using drones is gaining popularity in Mexico 141
12.2.2 SOUTH AMERICA 141
12.2.2.1 Brazil 142
12.2.2.1.1 Brazil is an important market for automated harvesting systems 142
12.2.2.2 Argentina 142
12.2.2.2.1 Small drones are expected to be used in small and medium-sized farms in Argentina 142
12.2.2.3 Rest of South America 142
12.3 EUROPE 143
12.3.1 UK 147
12.3.1.1 Universities in UK are involved in development of various agricultural robots 147
12.3.2 GERMANY 147
12.3.2.1 Germany is largest market for agricultural robots in Europe 147
12.3.3 FRANCE 147
12.3.3.1 French agricultural robots market expected to have highest growth among other European countries 147
12.3.4 ITALY 148
12.3.4.1 Increase in agricultural activities leading to adoption and acceptance of agricultural robots 148
12.3.5 NETHERLANDS 148
12.3.5.1 Netherlands represents one of the largest markets for milking robots 148
12.3.6 REST OF EUROPE 148
12.4 APAC 149
12.4.1 CHINA 152
12.4.1.1 Pesticide and herbicide spraying are popular applications for agriculture drones in China 152
12.4.2 JAPAN 152
12.4.2.1 Japan expected to be one of the first markets to commercialize driverless tractors in APAC 152
12.4.3 AUSTRALIA 152
12.4.3.1 Australia expected to be the largest market for agricultural robots during forecast period 152
12.4.4 INDIA 153
12.4.4.1 India has very low penetration of agricultural robots at present 153
12.4.5 SOUTH KOREA 153
12.4.5.1 South Korean government is subsidizing milking robots to make them affordable to farmers 153
12.4.6 REST OF APAC 154
12.5 ROW 154
12.5.1 AFRICA 157
12.5.1.1 South Africa has been recently granted clearance to fly agricultural drones 157
12.5.2 MIDDLE EAST 157
12.5.2.1 Feasibility of drones in Middle East is being studied 157
12.5.3 RUSSIA 157
12.5.3.1 Russia is a growing market for various agricultural robots 157

13 ADOPTION OF AGRICULTURAL ROBOTS BASED ON FARM SIZE 158
13.1 INTRODUCTION 158
13.2 SMALL FARMS 158
13.3 MEDIUM-SIZED FARMS 158
13.4 LARGE FARMS 159

14 COMPETITIVE LANDSCAPE 160
14.1 OVERVIEW 160
14.2 MARKET SHARE ANALYSIS: AGRICULTURAL ROBOTS MARKET, 2019 162
14.3 COMPETITIVE LEADERSHIP MAPPING 163
14.3.1 VISIONARY LEADERS 163
14.3.2 DYNAMIC DIFFERENTIATORS 163
14.3.3 INNOVATORS 163
14.3.4 EMERGING COMPANIES 163
14.3.5 STRENGTH OF PRODUCT PORTFOLIO (25 PLAYERS) 165
14.3.6 BUSINESS STRATEGY EXCELLENCE (25 PLAYERS) 166
14.4 STARTUP SCENARIO 167
14.4.1 STARTUP CATEGORIZATION BASED ON SOLUTIONS PROVIDED 167
14.4.1.1 Hardware providers 167
14.4.1.2 Software and service providers 168
14.5 COMPETITIVE SITUATIONS AND TRENDS 169
14.5.1 PRODUCT LAUNCHES 170
14.5.2 PARTNERSHIPS AND COLLABORATIONS 170
14.5.3 EXPANSIONS 171
14.5.4 ACQUISITIONS 172
14.5.5 CONTRACTS AND AGREEMENTS 172
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15 COMPANY PROFILES 173
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
15.1 KEY PLAYERS 173
15.1.1 DEERE & COMPANY 173
15.1.2 TRIMBLE 176
15.1.3 AGCO CORPORATION 179
15.1.4 DELAVAL 182
15.1.5 DJI 184
15.1.6 BOUMATIC ROBOTICS 186
15.1.7 LELY 187
15.1.8 AGJUNCTION 189
15.1.9 TOPCON POSITIONING SYSTEM 191
15.1.10 AGEAGLE AERIAL SYSTEMS 193
15.2 RIGHT TO WIN 194
15.2.1 DEERE & COMPANY 194
15.2.2 DJI 195
15.2.3 TRIMBLE 196
15.2.4 AGCO CORPORATION 197
15.2.5 DELAVAL 198
15.3 OTHER KEY PLAYERS 199
15.3.1 YANMAR CO. 199
15.3.2 DEEPFIELD ROBOTICS 200
15.3.3 ECOROBOTIX 200
15.3.4 HARVEST AUTOMATION 201
15.3.5 NA?O TECHNOLOGIES 201
15.3.6 ROBOTICS PLUS 202
15.3.7 CNH INDUSTRIAL N.V. 203
15.3.8 KUBOTA CORPORATION 203
15.3.9 HARVEST CROO 204
15.3.10 AUTONOMOUS TRACTOR CORPORATION 204
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

16 APPENDIX 205
16.1 DISCUSSION GUIDE 205
16.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 209
16.3 AVAILABLE CUSTOMIZATIONS 211
16.4 RELATED REPORTS 211
16.5 AUTHOR DETAILS 212