Smart Agriculture Market with COVID-19 impact analysis by Offering, Agriculture Type (Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse ), Application, Farm Size, & Geography – Global Forecast to 2026

スマート農業の世界市場予測:提供別、農業種類別、用途別、農場規模別、地域別

◆タイトル:Smart Agriculture Market with COVID-19 impact analysis by Offering, Agriculture Type (Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse ), Application, Farm Size, & Geography – Global Forecast to 2026
◆商品コード:SE4043
◆調査・発行会社:MarketsandMarkets
◆発行日:2021年10月22日
◆ページ数:300
◆レポート形式:PDF / 英語
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◆調査対象地域:グローバル
◆産業分野:農業
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【レポートの概要】

マーケッツアンドマーケッツ社はスマート農業の世界市場規模が2021年129億ドルから2026年208億ドルまで、年平均10.1%成長すると予想しています。本書では、世界のスマート農業市場を調査対象とし、イントロダクション、調査手法、エグゼクティブサマリー、プレミアムインサイト、市場概要、提供別(ハードウェア、ソフトウェア、サービス)分析、農業種類別(精密農業、家畜監視、精密養殖、精密林業、スマートグリーンハウス)分析、農場規模別(小規模農場、中規模農場、大規模農場)分析、地域別分析、競争状況、企業情報などを整理しました。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場概要
・スマート農業の世界市場規模:提供別(ハードウェア、ソフトウェア、サービス)
・スマート農業の世界市場規模:農業種類別(精密農業、家畜監視、精密養殖、精密林業、スマートグリーンハウス)
・スマート農業の世界市場規模:農場規模別(小規模農場、中規模農場、大規模農場)
・スマート農業の世界市場規模:地域別
・競争状況
・企業情報

“The smart agriculture market is expected to grow from USD 12.9 billion in 2021 to USD 20.8 billion by 2026; it is expected to grow at a CAGR of 10.1% during the forecast period.”
The major driving factors for the growth of the smart agriculture market include the implementation of advanced technologies like IoT and AI and the increase in population across the globe.

“RFID tags and readers to have the largest share of livestock monitoring hardware during the forecast period.”
RFID tags and readers to account for the largest share of the livestock monitoring hardware market during the forecast period. The market growth can be attributed to the rising demand for livestock monitoring systems, increasing preference for automated hardware and systems, and the rising number of dairy cattle across the world, along with technological advancements. GPS technology is gaining popularity among livestock owners owing to its low cost and compatibility with other devices such as cell phones, tabs, and laptops.

“Precision farming application to dominate the smart agriculture market during the forecast period.”
Major factors fueling the growth of the precision farming market include the high pressure on the global food supply system owing to the growing world population, substantial cost-cutting made possible with the adoption of precision farming technology, and strong support and initiatives by several governments across the world to adopt modern agricultural techniques.

“The Americas to have the largest market share during the forecast period.”
The Americas accounted for the largest share of the smart agriculture market in 2020, and a similar trend is likely to be observed during the forecast period due to the presence of several major players in the smart agriculture market, such as Deere & Company (US), Trimble (US), and Topcon Positioning Systems (US). These companies have contributed to the growth of the smart agriculture market by launching innovative products and services, as well as by spending extensively on the R&D of smart agriculture solutions.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with key officials in the smart agriculture market. Following is the breakup of the profiles of primary participants for the report.

• By Company Type: Tier 1 – 20 %, Tier 2 – 45%, and Tier 3 – 35%
• By Designation: C-Level Executives – 35%, Directors – 25%, and Others – 40%
• By Region: Americas– 45%, Europe – 25%, APAC – 20%, and RoW – 10%

The report profiles key players in the smart agriculture market and analyzes their market shares. Players profiled in this report are John Deere (US), Trimble (US), Topcon Positioning Systems (US), DeLaval (Sweden), AKVA(Norway) Antelliq(France), Afimilk(Israel), InnovaSea Systems(US), Heliospectra(Sweden) and LumiGrow(US), ABACO(Italy), Treemetrics(Ireland), Raven Industries(US), AG Leader Technology(US), AgJunction(US), The Climate Corporation(US), Nedap(Netherlands), BouMatic(US), Fancom(Netherlands), Aquabyte(US), Steinsvik(Norway), VEMCO(Nova Scotia), Nexus Greenhouse Systems(US), Certhon (Netherlands), NV5 Geospatial(US), Hitachi Construction Machinery(Japan), Akuakare(Turkey), Gamaya(Switzerland), ec2ce(Spain), Eruvaka Technologies(India) and CropX Technologies(Israel).

Research Coverage:
This report segments the smart agriculture market based on agriculture type, offering, application, farm size and region. It also describes major drivers, restraints, challenges, and opportunities about this market, as well as includes market share analysis, value chain analysis, porter’s five forces analysis, trade analysis, ecosystem, technological trends, pricing analysis, key patents, standards and frameworks, and case studies/use cases.

Reasons to Buy This Report:
The report will help leaders/new entrants in the smart agriculture market in the following ways:
1. The report segments the smart agriculture market comprehensively and provides the closest market size estimation for all subsegments across regions.
2. The report will help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities about the smart agriculture market.
3. The report will help stakeholders understand their competitors better and gain insights to improve their position in the smart agriculture market. The competitive landscape section describes the competitor ecosystem.

【レポートの目次】

“1 INTRODUCTION 29
1.1 STUDY OBJECTIVES 29
1.2 MARKET DEFINITION 29
1.2.1 INCLUSIONS AND EXCLUSIONS 30
1.3 STUDY SCOPE 30
1.3.1 MARKETS COVERED 30
1.3.2 GEOGRAPHIC SCOPE 31
1.3.3 YEARS CONSIDERED FOR THE STUDY 31
1.4 CURRENCY 32
1.5 LIMITATIONS 32
1.6 STAKEHOLDERS 32
1.7 SUMMARY OF CHANGES 33
2 RESEARCH METHODOLOGY 34
2.1 RESEARCH DATA 34
FIGURE 1 SMART AGRICULTURE MARKET: PROCESS FLOW OF MARKET SIZE ESTIMATION 34
FIGURE 2 SMART AGRICULTURE MARKET: RESEARCH DESIGN 35
2.1.1 SECONDARY AND PRIMARY RESEARCH 36
2.1.2 SECONDARY DATA 37
2.1.2.1 Key secondary sources 37
2.1.2.2 Secondary sources 37
2.1.3 PRIMARY DATA 38
2.1.3.1 Primary interviews with experts 38
2.1.3.2 List of key primary respondents 38
2.1.3.3 Breakdown of primaries 39
2.1.3.4 Key data from primary sources 39
2.1.3.5 Key industry insights 40
2.2 MARKET SIZE ESTIMATION 41
2.2.1 BOTTOM-UP APPROACH 41
2.2.1.1 Approach for capturing market size by bottom-up analysis
(demand side) 41
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH (DEMAND SIDE) 41
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
(SUPPLY SIDE) 42
2.2.2 TOP-DOWN APPROACH 42
2.2.2.1 Approach for capturing market size by top-down analysis
(supply side) 42
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 43
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 43
FIGURE 6 DATA TRIANGULATION 43
2.4 RESEARCH ASSUMPTIONS 44
2.5 LIMITATIONS 45
2.6 RISK ASSESSMENT 45
TABLE 1 RISK FACTOR ANALYSIS 45
3 EXECUTIVE SUMMARY 46
3.1 SMART AGRICULTURE MARKET: POST-COVID-19 47
3.1.1 REALISTIC SCENARIO 47
FIGURE 7 REALISTIC SCENARIO: SMART AGRICULTURE MARKET,
2017-2026 (USD BILLION) 47
3.1.2 PESSIMISTIC SCENARIO 48
FIGURE 8 PESSIMISTIC SCENARIO: SMART AGRICULTURE MARKET,
2017-2026 (USD BILLION) 48
3.1.3 OPTIMISTIC SCENARIO 48
FIGURE 9 OPTIMISTIC SCENARIO: SMART AGRICULTURE MARKET,
2017-2026 (USD BILLION) 48
FIGURE 10 IMPACT OF COVID-19 ON SMART AGRICULTURE MARKET 49
FIGURE 11 PRECISION FARMING SEGMENT TO LEAD SMART AGRICULTURE MARKET FROM 2021 TO 2026 49
FIGURE 12 SMART AGRICULTURE MARKET FOR SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 50
FIGURE 13 SMALL FARMS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 50
FIGURE 14 SMART AGRICULTURE MARKET IN APAC TO GROW AT THE HIGHEST CAGR FROM 2021 TO 2026 51
4 PREMIUM INSIGHT 52
4.1 ATTRACTIVE OPPORTUNITIES IN SMART AGRICULTURE MARKET 52
FIGURE 15 INCREASING DEMAND FOR SMART AGRICULTURE IN APAC TO FUEL MARKET GROWTH 52
4.2 SMART AGRICULTURE MARKET, BY OFFERING 52
FIGURE 16 HARDWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD 52
4.3 SMART AGRICULTURE MARKET, BY APPLICATION 53
FIGURE 17 PRECISION FARMING PROJECTED TO LEAD SMART AGRICULTURE MARKET FROM 2021 TO 2026 53
4.4 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE & REGION 53
FIGURE 18 PRECISION FARMING TO ACCOUNT FOR LARGEST SHARE IN AMERICAS DURING FORECAST PERIOD 53
4.5 SMART AGRICULTURE MARKET, BY FARM SIZE 54
FIGURE 19 SMALL FARM TO GROW HIGHEST CAGR DURING FORECAST PERIOD 54
4.6 SMART AGRICULTURE MARKET, BY GEOGRAPHY 54
FIGURE 20 MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 54
5 MARKET OVERVIEW 55
5.1 DEVELOPMENT OF SMART AGRICULTURE PRACTICES 55
FIGURE 21 EVOLUTION OF SMART AGRICULTURE CONCEPT 55
5.2 MARKET DYNAMICS 56
FIGURE 22 SMART AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 56
5.2.1 DRIVERS 57
FIGURE 23 SMART AGRICULTURE MARKET: DRIVERS 57
5.2.1.1 Rising pressure on food supply system owing to rapidly growing population 57
FIGURE 24 GLOBAL CONSUMPTION OF MAJOR FIELD CROPS, 2005–2050 58
5.2.1.2 Surging use of modern technologies in agricultural products 58
5.2.1.3 Rising income levels and demand for protein-rich aqua food 59
FIGURE 25 GLOBAL FISHERY PRODUCTION, 2016–2026 (MILLION TONS) 59
5.2.1.4 Growing focus of farmers on livestock monitoring and disease detection 59
5.2.1.5 Increasing emphasis on reducing management cost by adopting advanced livestock monitoring products 60
5.2.1.6 Increased adoption of advanced technologies such as IoT and AI in aquaculture farms 60
5.2.2 RESTRAINTS 60
FIGURE 26 SMART AGRICULTURE MARKET: RESTRAINTS 60
5.2.2.1 High upfront cost for development of modern agricultural equipment 61
5.2.2.2 Fragmented agriculture industry 61
5.2.3 OPPORTUNITIES 62
FIGURE 27 SMART AGRICULTURE MARKET: OPPORTUNITIES 62
5.2.3.1 Rising adoption of livestock monitoring solutions in emerging countries 62
FIGURE 28 GLOBAL MILKING ROBOTS INSTALLED BASE, 2017–2030 (UNITS) 63
5.2.3.2 Growing use of unmanned aerial vehicles or drones in agricultural farms 63
5.2.3.3 Increasing popularity of land-based recirculating aquaculture systems 64
5.2.3.4 Growing focus on integration of smartphones with agricultural hardware and software applications 64
5.2.3.5 Agritech startups to increase the use of smart agriculture practices in COVID-19 times 64
5.2.4 CHALLENGES 65
FIGURE 29 SMART AGRICULTURE MARKET: CHALLENGES 65
5.2.4.1 Management of large volumes of data for productive decision making 65
5.2.4.2 Livestock farming is increasing environmental concerns and global warming 66
5.2.5 WINNING IMPERATIVES 66
5.2.5.1 Environmental protection with the utilization of smart agriculture techniques 66
5.3 REVENUE SHIFT AND NEW REVENUE POCKETS FOR SMART AGRICULTURE MARKET PLAYERS 67
FIGURE 30 REVENUE SHIFT IN SMART AGRICULTURE MARKET 67
5.4 AVERAGE SELLING PRICE ANALYSIS 68
TABLE 2 MILKING ROBOTS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS. 2025 68
TABLE 3 RFID TAGS & READERS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS. 2025 68
5.5 PRICING ANALYSIS: AVERAGE SELLING PRICE (ASP) TREND FOR SENSORS IN PRECISION AQUACULTURE 68
FIGURE 31 AVERAGE SELLING PRICES OF PRECISION AQUACULTURE SENSORS (USD) 68
TABLE 4 PRICING ANALYSIS FOR ROV SYSTEM COMPONENTS 69
FIGURE 32 AVERAGE PRECISION FARMING DATA ANALYTICS SERVICE COST PER HECTARE FOR DIFFERENT FARM SIZES, 2019 69
5.6 VALUE CHAIN ANALYSIS 70
FIGURE 33 VALUE CHAIN ANALYSIS: SMART AGRICULTURE MARKET 70
5.6.1 MAJOR STAKEHOLDERS IN SMART AGRICULTURE MARKET 70
FIGURE 34 MAJOR PARTICIPANTS IN SMART AGRICULTURE VALUE CHAIN 71
5.7 SMART AGRICULTURE MARKET ECOSYSTEM 72
FIGURE 35 SMART AGRICULTURE ECOSYSTEM 72
5.7.1 SMART AGRICULTURE ECOSYSTEM 73
5.8 TECHNOLOGICAL TRENDS 74
5.8.1 INTERNET OF THINGS (IOT) 74
5.8.2 M2M SOLUTIONS 74
FIGURE 36 INCREASING USE OF M2M SOLUTIONS IN AGRICULTURE—LEADING TREND AMONG KEY MARKET PLAYERS 74
5.8.3 ROBOTICS 74
5.8.4 AI AND BLOCKCHAIN IN LIVESTOCK FARMING 75
FIGURE 37 BLOCKCHAIN AND AI IN PRECISION LIVESTOCK FARMING 75
5.8.5 ADOPTION OF ROBOTIC CAGES AND UNDERWATER DRONES IN AQUACULTURE FARMS 75
5.8.6 INTEGRATION OF TELEMATICS WITH FOREST MECHANIZATION IN PRECISION FORESTRY 76
5.8.7 ADVENT OF LIDAR-FITTED UAVS IN PRECISION FORESTRY 76
5.9 PORTER’S FIVE FORCES ANALYSIS 76
FIGURE 38 SMART AGRICULTURE MARKET: PORTER’S FIVE FORCES ANALYSIS 76
TABLE 5 SMART AGRICULTURE MARKET: PORTER’S FIVE FORCES ANALYSIS, 2020 77
5.9.1 THREAT OF NEW ENTRANTS 77
5.9.2 THREAT OF SUBSTITUTES 77
5.9.3 BARGAINING POWER OF SUPPLIERS 77
5.9.4 BARGAINING POWER OF BUYERS 78
5.9.5 INTENSITY OF COMPETITIVE RIVALRY 78
5.10 IMPACT OF COVID-19 ON SMART AGRICULTURE MARKET 78
5.10.1 PRECISION FARMING 78
5.10.2 LIVESTOCK MONITORING 79
5.10.3 PRECISION AQUACULTURE 79
5.10.4 SMART GREENHOUSE 79
5.10.5 PRECISION FORESTRY 79
5.11 REGULATORY LANDSCAPE IN SMART AGRICULTURE 79
5.11.1 US: AGRICULTURAL DATA ACT 2018 79
5.11.2 NATIONAL MISSION FOR SUSTAINABLE AGRICULTURE (NMSA) 80
5.11.3 ENVIRONMENTAL IMPACT ASSESSMENT (EIA) 80
5.11.4 NATURE CONSERVATION – EUROPEAN UNION (EU) 80
5.11.5 TARIFF AND REGULATIONS RELATED TO PRECISION FARMING AND
SMART GREENHOUSES 81
TABLE 6 TARIFF REGULATIONS: PRECISION FARMING AND SMART GREENHOUSES 81
5.11.6 TARIFFS AND REGULATIONS RELATED TO PRECISION AQUACULTURE 82
TABLE 7 TARIFF REGULATIONS: PRECISION AQUACULTURE 82
5.12 CASE STUDIES: SMART AGRICULTURE MARKET 84
5.12.1 INTRODUCTION 84
5.12.2 OPEN BLUE 84
TABLE 8 INNOVASEA HELPS OPEN BLUE BECOME LARGEST OPEN-OCEAN FISH FARM IN WORLD 84
5.12.3 EARTH OCEAN FARMS 85
TABLE 9 INNOVASEA ENABLES EARTH OCEAN FARMS TO EXPAND PRODUCTION WITH RUGGED EVOLUTION PENS 85
5.12.4 GIFAS 86
TABLE 10 PHILIPS LED SOLUTIONS OFFER NEW POSSIBILITIES FOR SALMON INDUSTRY 86
5.12.5 ERKO SEAFOOD AS 86
TABLE 11 AKVA GROUP HELPS ERKO SEAFOOD AS WITH PRECISION AQUACULTURE PRODUCTS 86
5.13 PATENT ANALYSIS 87
FIGURE 39 TOP 10 COMPANIES WITH HIGHEST NO. OF PATENT IN LAST 10 YEARS 87
5.13.1 JURISDICTION ANALYSIS 87
FIGURE 40 JURISDICTION ANALYSIS 87
5.13.2 TOP PATENT OWNERS 88
TABLE 12 TOP 20 PATENT OWNERS (US) IN LAST 10 YEARS 88
TABLE 13 SOME KEY INNOVATIONS AND PATENT REGISTRATIONS FROM SEL 89
5.14 TRADE DATA 89
TABLE 14 IMPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290,
2016-2020 (USD THOUSAND) 89
FIGURE 41 IMPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290,
2016-2020 (USD THOUSAND) 90
TABLE 15 EXPORT DATA FOR AGRICULTURAL, HORTICULTRAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290,
2016-2020 (USD THOUSAND) 90
FIGURE 42 EXPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290,
2016-2020 (USD THOUSAND) 91
6 SMART AGRICULTURE MARKET, BY OFFERING 92
6.1 INTRODUCTION 93
FIGURE 43 SERVICES SEGMENT TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 93
TABLE 16 SMART AGRICULTURE MARKET, BY OFFERING, 2017–2020 (USD MILLION) 93
TABLE 17 SMART AGRICULTURE MARKET, BY OFFERING, 2021–2026 (USD MILLION) 94
6.2 HARDWARE 94
6.2.1 PRECISION FARMING HARDWARE 94
6.2.1.1 Variety of precision farming tools is expected to increase the demand for precision hardware in the forecast period 94
FIGURE 44 IMPACT OF COVID-19 ON SMART AGRICULTURE HARDWARE MARKET 95
TABLE 18 POST-COVID-19: SMART AGRICULTURE HARDWARE MARKET, BY OFFERING, 2017–2026 (USD MILLION) 95
FIGURE 45 AUTOMATION AND CONTROL SYSTEMS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 96
TABLE 19 PRECISION FARMING MARKET, BY OFFERING, 2017–2020 (USD MILLION) 96
TABLE 20 PRECISION FARMING MARKET, BY OFFERING, 2021–2026 (USD MILLION) 96
TABLE 21 PRECISION FARMING HARDWARE MARKET, BY TYPE,
2017–2020 (USD MILLION) 97
TABLE 22 PRECISION FARMING HARDWARE MARKET, BY TYPE,
2021–2026 (USD MILLION) 97
6.2.1.2 Automation and control systems 97
FIGURE 46 IRRIGATION CONTROLLER TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 98
TABLE 23 AUTOMATION AND CONTROL SYSTEMS MARKET, BY DEVICE TYPE,
2017–2020 (USD MILLION) 98
TABLE 24 AUTOMATION AND CONTROL SYSTEMS MARKET, BY DEVICE TYPE,
2021–2026 (USD MILLION) 99
6.2.1.2.1 Displays 99
6.2.1.2.1.1 Utilization of display devices in precision farming systems will drive the hardware market during the forecast period 99
6.2.1.2.2 Guidance and steering systems 100
6.2.1.2.2.1 Automated guidance and steering systems are increasingly adopted in tractors and agriculture robots 100
6.2.1.2.3 GPS/GNSS devices 100
6.2.1.2.3.1 High demand for GPS/GNSS devices for variable rate applications will drive the market for automation control system 100
6.2.1.2.4 Drones/UAVs 101
6.2.1.2.4.1 Drones are mostly adopted for the identification of pests and weeds 101
6.2.1.2.5 Handheld mobile devices/handheld computers 101
6.2.1.2.5.1 Operational flexibility and ease of operation are measure factors for the growing use of handheld mobile devices and computers 101
6.2.1.2.6 Irrigation controllers 102
6.2.1.2.6.1 Concerns for efficient use of water expected to propel irrigation controllers market 102
6.2.1.2.7 Flow and application control devices 102
6.2.1.2.7.1 Flow and application control devices to facilitate the growth of the precision farming market for variable rate applications 102
6.2.1.2.8 Others 102
6.2.1.3 Sensing and monitoring devices 103
FIGURE 47 YIELD MONITORS TO LEAD MARKET FOR SENSING AND MONITORING DEVICES FROM 2021 TO 2026 103
TABLE 25 SENSING AND MONITORING DEVICES MARKET, BY DEVICE TYPE,
2017–2020 (USD MILLION) 103
TABLE 26 SENSING AND MONITORING DEVICES MARKET, BY DEVICE TYPE,
2021–2026 (USD MILLION) 104
6.2.1.3.1 Yield monitors 104
6.2.1.3.1.1 Yield monitors to continue to hold the largest market share during the forecast period 104
6.2.1.3.2 Soil sensors 104
6.2.1.3.2.1 Soil sensors to provide real-time data on various soil properties 104
6.2.1.3.3 Nutrient sensors 105
6.2.1.3.3.1 Nutrient sensors help in identifying nutrients is gaining popularity in precision farming 105
6.2.1.3.4 Moisture sensors 105
6.2.1.3.4.1 Moisture sensors help manage irrigation systems more efficiently 105
6.2.1.3.5 Temperature sensors 106
6.2.1.3.5.1 Adoption of temperature sensors for checking the suitability of soil for planting expected to grow during the forecast period 106
6.2.1.4 Water sensors 106
6.2.1.4.1 Need to focus on effective control on irrigation to drive the use of water sensors 106
6.2.1.5 Climate sensors 106
6.2.1.5.1 Uncertainties related to weather and climate propel the demand for climate sensors 106
6.2.2 LIVESTOCK MONITORING HARDWARE 106
FIGURE 48 GPS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 107
TABLE 27 LIVESTOCK MONITORING MARKET, BY OFFERING,
2017–2020 (USD MILLION) 107
TABLE 28 LIVESTOCK MONITORING MARKET, BY OFFERING,
2021–2026 (USD MILLION) 107
TABLE 29 LIVESTOCK MONITORING HARDWARE MARKET, BY DEVICE TYPE,
2017–2020 (USD MILLION) 108
TABLE 30 LIVESTOCK MONITORING HARDWARE MARKET, BY DEVICE TYPE,
2021–2026 (USD MILLION) 108
6.2.2.1 RFID tags and readers 108
6.2.2.1.1 Innovation in RFID tags and readers help increase its market share during forecast period 108
6.2.2.2 Sensors 109
6.2.2.2.1 Availability of various types of sensors help improve livestock monitoring applications 109
6.2.2.3 Transmitters and mounting equipment 109
6.2.2.3.1 Requirement for sending wireless video and audio signals projected to accelerate demand for transmitters 109
6.2.2.4 GPS 109
6.2.2.4.1 GPS help in monitoring animals and taking rapid actions to improve the overall efficiency of livestock farming 109
6.2.2.5 Others 109
6.2.3 PRECISION FORESTRY HARDWARE 110
6.2.3.1 Harvesters and forwarders 110
6.2.3.1.1 Harvesters and forwarders expected to play a crucial role in precision forestry operations 110
6.2.3.2 UAVs/drones 110
6.2.3.2.1 Advancements in UAVs/drones expected to increase their demand during the forecast period 110
6.2.3.3 GPS 110
6.2.3.3.1 Site-specific forestry management expected to propel the demand for GPS 110
6.2.3.4 Cameras 111
6.2.3.4.1 Demand for video cameras with hyperspectral, multispectral, and infra-red sensors expected to increase substantially during the forecast period 111
6.2.3.5 RFID tags and sensors 111
6.2.3.5.1 RFID tags and sensors help prevent illegal cutting and smuggling of trees 111
6.2.3.6 Variable rate controllers 111
6.2.3.6.1 Increasing adoption of site-specific vegetation management is expected to fuel the demand for variable rate controllers 111
6.2.3.7 Others 111
TABLE 31 PRECISION FORESTRY MARKET, BY OFFERING, 2017–2020 (USD MILLION) 111
TABLE 32 PRECISION FORESTRY MARKET, BY OFFERING, 2021–2026 (USD MILLION) 112
TABLE 33 PRECISION FORESTRY HARDWARE MARKET, BY TYPE,
2017–2020 (USD MILLION) 112
TABLE 34 PRECISION FORESTRY HARDWARE MARKET, BY TYPE,
2021–2026 (USD MILLION) 113
6.2.4 PRECISION AQUACULTURE HARDWARE 113
FIGURE 49 MONITORING DEVICES TO LEAD PRECISION AQUACULTURE HARDWARE MARKET FROM 2021 TO 2026 114
TABLE 35 PRECISION AQUACULTURE MARKET, BY OFFERING,
2017–2020 (USD MILLION) 114
TABLE 36 PRECISION AQUACULTURE MARKET, BY OFFERING,
2021–2026 (USD MILLION) 114
TABLE 37 PRECISION AQUACULTURE HARDWARE MARKET, BY DEVICE TYPE,
2017–2020 (USD MILLION) 115
TABLE 38 PRECISION AQUACULTURE HARDWARE MARKET, BY DEVICE TYPE,
2021–2026 (USD MILLION) 115
6.2.4.1 Monitoring devices 116
6.2.4.1.1 Temperature and environmental monitoring devices 116
6.2.4.1.1.1 Increasing demand for wireless sensor networks to monitor aquaculture farms would propel the growth of monitoring devices 116
6.2.4.1.2 pH and dissolved oxygen sensors 116
6.2.4.1.2.1 Growing need to monitor dissolved oxygen content expected to boost the deployment of pH and dissolved oxygen sensors 116
6.2.4.1.3 Others 116
6.2.4.2 Camera systems 116
6.2.4.2.1 Increase in the adoption of smart HD camera systems in aquaculture farming projected to fuel the market growth 116
6.2.4.3 Control systems 117
6.2.4.3.1 Adoption of automation devices in aquaculture farming is expected increase the demand for control systems 117
6.2.4.4 Others 117
6.2.5 SMART GREENHOUSE HARDWARE 117
FIGURE 50 HVAC SYSTEMS TO LEAD SMART GREENHOUSE HARDWARE MARKET DURING FORECAST PERIOD 117
TABLE 39 SMART GREENHOUSE MARKET, BY OFFERING, 2017–2020 (USD MILLION) 118
TABLE 40 SMART GREENHOUSE MARKET, BY OFFERING, 2021–2026 (USD MILLION) 118
TABLE 41 SMART GREENHOUSE HARDWARE MARKET, BY DEVICE TYPE,
2017–2020 (USD MILLION) 118
TABLE 42 SMART GREENHOUSE HARDWARE MARKET, BY DEVICE TYPE,
2021–2026 (USD MILLION) 119
TABLE 43 SMART GREENHOUSE HARDWARE MARKET, BY TYPE,
2017–2020 (USD MILLION) 119
TABLE 44 SMART GREENHOUSE HARDWARE MARKET, BY TYPE,
2021–2026 (USD MILLION) 119
6.2.5.1 HVAC systems 120
6.2.5.1.1 HVAC systems provide an improved indoor environment in smart greenhouses 120
6.2.5.2 LED grow lights 120
6.2.5.2.1 LED grow lights enhances operational efficiency and reduces energy consumption in smart greenhouses 120
6.2.5.3 Irrigation systems 120
6.2.5.3.1 Irrigation systems help in proper and timely watering of each zone in the greenhouse 120
6.2.5.4 Material handling equipment 121
6.2.5.4.1 Material handling equipment helps in reducing plant handling costs on farm 121
6.2.5.5 Valves and pumps 121
6.2.5.5.1 Valves and pumps help in managing efficient flow of water by proper distribution of water in various zones of farms 121
6.2.5.6 Control systems 121
6.2.5.6.1 Control systems in smart greenhouses make heating and cooling operations easy 121
6.2.5.7 Sensors and cameras 121
6.2.5.7.1 Sensors provide quantitative information to guide cultivators and enable automated decision-making related to crop cultivation 121
6.2.6 OTHER AGRICULTURE HARDWARE 122
TABLE 45 OTHER AGRICULTURE MARKET, BY OFFERING, 2017–2020 (USD MILLION) 122
TABLE 46 OTHER AGRICULTURE MARKET, BY OFFERING, 2021–2026 (USD MILLION) 122
6.3 SOFTWARE 122
FIGURE 51 IMPACT OF COVID-19 ON SMART AGRICULTURE SOFTWARE MARKET 123
TABLE 47 POST-COVID-19: SMART AGRICULTURE SOFTWARE MARKET,
2017–2026 (USD MILLION) 123
FIGURE 52 0N-CLOUD TO LEAD LIVESTOCK MONITORING SOFTWARE MARKET DURING FORECAST PERIOD 124
TABLE 48 PRECISION FARMING SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD MILLION) 124
TABLE 49 PRECISION FARMING SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD MILLION) 124
TABLE 50 LIVESTOCK MONITORING SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD MILLION) 125
TABLE 51 LIVESTOCK MONITORING SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD MILLION) 125
TABLE 52 PRECISION AQUACULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION) 125
TABLE 53 PRECISION AQUACULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION) 126
TABLE 54 SMART GREENHOUSE SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD MILLION) 126
TABLE 55 SMART GREENHOUSE SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD MILLION) 126
TABLE 56 OTHER AGRICULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2017–2020 (USD MILLION) 126
TABLE 57 OTHER AGRICULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE,
2021–2026 (USD MILLION) 127
6.3.1 ON-PREMISES 127
6.3.1.1 Ability to reuse existing servers drive the market for on-premises software solutions 127
6.3.2 ON-CLOUD 127
6.3.2.1 Software-as-a-Service (SaaS) 128
6.3.2.1.1 Increasing popularity of the software-as-a-service model to access crucial data fuels demand for cloud technology 128
6.3.2.2 Platform-as-a-Service (PaaS) 128
6.3.2.2.1 PaaS helps in reducing upfront costs for organizations 128
6.3.3 AI & DATA ANALYTICS 128
6.3.3.1 AI & data analytics helps in improving harvest quality and accuracy 128
6.3.4 FARM MANAGEMENT SOFTWARE 128
6.3.4.1 Farm management software is used to optimize and manage farm operations 128
6.4 SERVICES 129
FIGURE 53 SYSTEM INTEGRATION AND CONSULTING SERVICES TO LEAD PRECISION FARMING SERVICES MARKET FROM 2021 TO 2026 129
TABLE 58 PRECISION FARMING SERVICES MARKET, BY TYPE,
2017–2020 (USD MILLION) 129
TABLE 59 PRECISION FARMING SERVICES MARKET, BY TYPE,
2021–2026 (USD MILLION) 130
TABLE 60 LIVESTOCK MONITORING SERVICES MARKET, BY TYPE,
2017–2020 (USD MILLION) 130
TABLE 61 LIVESTOCK MONITORING SERVICES MARKET, BY TYPE,
2021–2026 (USD MILLION) 130
TABLE 62 PRECISION AQUACULTURE SERVICES MARKET, BY TYPE,
2017–2020 (USD MILLION) 131
TABLE 63 PRECISION AQUACULTURE SERVICES MARKET, BY TYPE,
2021–2026 (USD MILLION) 131
TABLE 64 SMART GREENHOUSE SERVICES MARKET, BY TYPE,
2017–2020 (USD MILLION) 131
TABLE 65 SMART GREENHOUSE SERVICES MARKET, BY TYPE,
2021–2026 (USD MILLION) 132
TABLE 66 OTHER AGRICULTURE SERVICES MARKET, BY TYPE,
2017–2020 (USD MILLION) 132
TABLE 67 OTHER AGRICULTURE SERVICES MARKET, BY TYPE,
2021–2026 (USD MILLION) 132
6.4.1 SYSTEM INTEGRATION AND CONSULTING SERVICES 133
6.4.1.1 High demand for integration of software and hardware equipment expected to propel the growth of system integration and consulting services 133
6.4.2 MANAGED SERVICES 133
6.4.2.1 Managed services are provided by third-party vendors who help in the management of precision farming activities 133
6.4.2.2 Farm operation services 133
6.4.2.2.1 Farm operation services help generate records and integrate unstructured data 133
6.4.2.3 Data services 133
6.4.2.3.1 Growth of mobile applications is expected to increase demand for data services 133
6.4.2.4 Analytics services 134
6.4.2.4.1 Increased demand for real-time information to propel the market for analytics services 134
6.4.3 CONNECTIVITY SERVICES 134
6.4.3.1 Connectivity services help in generating real-time data for better decision making 134
6.4.4 ASSISTED PROFESSIONAL SERVICES 134
6.4.4.1 Assisted professional services help in the improvement and implementation of standards of projects 134
6.4.4.2 Supply chain management services 135
6.4.4.2.1 Supply and management services help in mitigating frequent hardware system failures 135
6.4.4.3 Climate information services 135
6.4.4.3.1 Climate information services help in better planning of farming activities 135
6.4.4.4 Others 135
6.4.5 MAINTENANCE AND SUPPORT SERVICES 136
6.4.5.1 High deployment of software solutions and precision farming hardware equipment to boost demand for maintenance and support services 136
6.4.6 INSTALLATION AND DEPLOYMENT SERVICES 136
6.4.6.1 Installation of hardware equipment and software platform expected to create new opportunities 136
7 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE 137
7.1 INTRODUCTION 138
FIGURE 54 PRECISION FARMING EXPECTED TO DOMINATE SMART AGRICULTURE MARKET FROM 2021 TO 2026 138
TABLE 68 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE,
2017–2020 (USD MILLION) 138
TABLE 69 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE,
2021–2026 (USD MILLION) 139
7.2 PRECISION FARMING 139
7.2.1 FOCUS ON FARMERS TO IMPROVE FARM EFFICIENCY AND INCREASE CROP PRODUCTIVITY IS DRIVING THE PRECISION FARMING MARKET 139
FIGURE 55 VARIABLE RATE TECHNOLOGY TO GROW AT HIGHEST CAGR
FROM 2021 TO 2026 140
TABLE 70 PRECISION FARMING MARKET, BY TECHNOLOGY,
2017–2020 (USD MILLION) 140
TABLE 71 PRECISION FARMING MARKET, BY TECHNOLOGY,
2021–2026 (USD MILLION) 140
TABLE 72 PRECISION FARMING MARKET, BY REGION, 2017–2020 (USD MILLION) 141
TABLE 73 PRECISION FARMING MARKET, BY REGION, 2021–2026 (USD MILLION) 141
FIGURE 56 PRECISION FARMING MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 141
7.3 LIVESTOCK MONITORING 142
7.3.1 LIVESTOCK MONITORING HELPS PROVIDE REAL-TIME INFORMATION ON ANIMAL HEALTH 142
FIGURE 57 EUROPE TO LEAD LIVESTOCK MONITORING MARKET DURING FORECAST PERIOD 142
TABLE 74 LIVESTOCK MONITORING MARKET, BY REGION, 2017–2020 (USD MILLION) 143
TABLE 75 LIVESTOCK MONITORING MARKET, BY REGION, 2021–2026 (USD MILLION) 143
7.4 PRECISION AQUACULTURE 143
7.4.1 ADOPTION OF TECHNOLOGIES LIKE IOT AND AI IN AQUAFARMS HELPS IN DRIVING PRECISION AQUACULTURE MARKET 143
TABLE 76 PRECISION AQUACULTURE MARKET, BY REGION, 2017–2020 (USD MILLION) 144
TABLE 77 PRECISION AQUACULTURE MARKET, BY REGION, 2021–2026 (USD MILLION) 144
7.4.2 SMART FEEDING SYSTEMS 145
7.4.2.1 Smart feeding system helps in determining the size and eating behavior of fishes 145
7.4.3 MONITORING AND CONTROL SYSTEMS 145
7.4.3.1 Monitoring and control system improving the efficiency of aquafarms 145
7.4.4 UNDERWATER REMOTELY-OPERATED VEHICLES 145
7.4.4.1 ROVs helps in monitoring underwater species to improve the aquafarms operation 145
7.5 PRECISION FORESTRY 146
7.5.1 USE OF TECHNOLOGIES HELPS IN MAKING PRECISION FORESTRY EFFICIENT AND ECONOMICAL 146
FIGURE 58 FIRE DETECTION TECHNOLOGY TO GROW AT HIGHEST CAGR
FROM 2021 TO 2026 147
TABLE 78 PRECISION FORESTRY MARKET, BY TECHNOLOGY,
2017–2020 (USD MILLION) 147
TABLE 79 PRECISION FORESTRY MARKET, BY TECHNOLOGY,
2021–2026 (USD MILLION) 147
TABLE 80 PRECISION FORESTRY MARKET, BY REGION, 2017–2020 (USD MILLION) 148
TABLE 81 PRECISION FORESTRY MARKET, BY REGION, 2021–2026 (USD MILLION) 148
FIGURE 59 PRECISION FORESTRY MARKET IN APAC AND ROW TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 148
7.6 SMART GREENHOUSE 149
7.6.1 WIRED AND WIRELESS TECHNOLOGIES HELPS IN IMPROVING SMART GREENHOUSE OPERATIONS 149
TABLE 82 SMART GREENHOUSE MARKET, BY TYPE, 2017–2020 (USD MILLION) 150
TABLE 83 SMART GREENHOUSE MARKET, BY TYPE, 2021–2026 (USD MILLION) 150
TABLE 84 SMART GREENHOUSE MARKET, BY REGION, 2017–2020 (USD MILLION) 150
TABLE 85 SMART GREENHOUSE MARKET, BY REGION, 2021–2026 (USD MILLION) 150
FIGURE 60 SMART GREENHOUSE MARKET IN EUROPE TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 151
7.7 OTHERS 151
FIGURE 61 AMERICAS EXPECTED TO BE THE LARGEST MARKET FOR OTHER AGRICULTURE TYPES DURING FORECAST PERIOD 151
TABLE 86 OTHER AGRICULTURE MARKET, BY TYPE, 2017–2020 (USD MILLION) 152
TABLE 87 OTHER AGRICULTURE MARKET, BY TYPE, 2021–2026 (USD MILLION) 152
TABLE 88 OTHER AGRICULTURE MARKET, BY REGION, 2017–2020 (USD MILLION) 152
TABLE 89 OTHER AGRICULTURE MARKET, BY REGION, 2021–2026 (USD MILLION) 152
8 SMART AGRICULTURE MARKET, BY APPLICATION 153
8.1 INTRODUCTION 154
FIGURE 62 SMART AGRICULTURE MARKET, BY APPLICATION 154
TABLE 90 SMART AGRICULTURE MARKET, BY APPLICATION,
2017–2020 (USD MILLION) 154
TABLE 91 SMART AGRICULTURE MARKET, BY APPLICATION,
2021–2026 (USD MILLION) 155
8.2 PRECISION FARMING 155
FIGURE 63 COVID-19 IMPACT ON PRECISION FARMING 156
TABLE 92 POST-COVID 19: PRECISION FARMING MARKET, 2017–2026 (USD MILLION) 156
FIGURE 64 WEATHER TRACKING & FORECASTING TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 157
TABLE 93 PRECISION FARMING MARKET, BY FUNCTION, 2017–2020 (USD MILLION) 157
TABLE 94 PRECISION FARMING MARKET, BY FUNCTION, 2021–2026 (USD MILLION) 158
8.2.1 YIELD MONITORING 158
TABLE 95 BENEFITS OF YIELD MONITORING 159
8.2.1.1 On-farm yield monitoring 160
8.2.1.1.1 On-farm yield monitoring helps in the specific allocation of resources according to the needs of plants 160
8.2.1.2 Off-farm yield monitoring 160
8.2.1.2.1 Off-farm monitoring technique is beneficial for analysing health of the yield after the harvesting 160
FIGURE 65 MARKET FOR YIELD MONITORING IN APAC TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 161
8.2.2 FIELD MAPPING 161
8.2.2.1 Drainage mapping application to record higher CAGR during the forecast period 161
8.2.3 BOUNDARY MAPPING 161
8.2.3.1 Boundary mapping helps farmers attain objectives related to crop productivity 161
8.2.4 DRAINAGE MAPPING 161
8.2.4.1 Drainage mapping helps in the elimination of soil moisture 161
8.2.5 CROP SCOUTING 162
8.2.5.1 Increase in demand for crop management to propel the growth of crop scouting 162
8.2.6 WEATHER TRACKING & FORECASTING 162
8.2.6.1 Weather tracking and forecasting helps in taking precautionary measures for farm protection from natural calamities 162
8.2.7 VARIABLE RATE 163
8.2.7.1 Variable rate helps in optimizing crops input for efficient farming 163
8.2.8 PRECISION IRRIGATION 163
8.2.8.1 Precision irrigation helps in minimizing water wastage and improving soil fertility 163
8.2.9 PRECISION SEEDING 163
8.2.9.1 Precision seeding improves harvest and packing efficiency 163
8.2.10 PRECISION FERTILIZATION 164
8.2.10.1 Precision fertilizer helps in the nutrition requirements of crops for optimum growth 164
8.2.11 PESTICIDE VRA 164
8.2.11.1 Pesticide VRA prevents overuse of pesticides on crops 164

8.2.12 INVENTORY MANAGEMENT 164
8.2.12.1 Growing demand for GPS devices for inventory management to propel market growth 164
8.2.13 FARM LABOR MANAGEMENT 165
8.2.13.1 Increasing need for effective handling of labor expected to drive demand for farm labor management solutions 165
8.2.14 FINANCIAL MANAGEMENT 165
8.2.14.1 Financial management helps farmers or growers make strategic decisions 165
8.2.15 OTHERS 166
8.3 LIVESTOCK MONITORING 166
FIGURE 66 IMPACT OF COVID-19 ON LIVESTOCK MONITORING 166
TABLE 96 POST-COVID-19: LIVESTOCK MONITORING, 2017–2026 (USD MILLION) 166
FIGURE 67 BREEDING MANAGEMENT & ANIMAL COMFORT MANAGEMENT EXPECTED TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 167
TABLE 97 LIVESTOCK MONITORING MARKET, BY FUNCTION,
2017–2020 (USD MILLION) 167
TABLE 98 LIVESTOCK MONITORING MARKET, BY FUNCTION,
2021–2026 (USD MILLION) 168
8.3.1 FEEDING MANAGEMENT 168
8.3.1.1 Increasing awareness in dairy farm owners for correct diet formulation is expected to fuel the growth of feeding management 168
8.3.2 MILK HARVESTING MANAGEMENT 169
8.3.2.1 Automated milk solutions in dairy farms expected to drive milk harvest management 169
8.3.3 BREEDING MANAGEMENT 169
8.3.3.1 Increase in dairy cattle reproduction will drive demand for livestock monitoring solutions 169
8.3.4 HEAT STRESS MANAGEMENT 170
8.3.4.1 Heat stress management expected to witness steady growth in livestock monitoring market during the forecast period 170
8.3.5 ANIMAL COMFORT MANAGEMENT 170
8.3.5.1 Increase in practices by livestock owners to detect diseases at initial phase drives demand for animal comfort management software 170
8.3.6 BEHAVIOR MONITORING AND CONTROL 171
8.3.6.1 Active awareness regarding animal behavior is expected to boost demand for monitoring solutions 171
8.3.7 OTHERS 171
8.4 PRECISION AQUACULTURE 172
FIGURE 68 FEEDING MANAGEMENT TO LEAD PRECISION AQUACULTURE MARKET
FROM 2021 TO 2026 172
TABLE 99 PRECISION AQUACULTURE MARKET, BY FUNCTION,
2017–2020 (USD MILLION) 172
TABLE 100 PRECISION AQUACULTURE MARKET, BY FUNCTION,
2021–2026 (USD MILLION) 173

8.4.1 FEEDING MANAGEMENT 173
8.4.1.1 Increase in nutrition management of species projected to grow the demand for feeding management 173
8.4.2 MONITORING, CONTROL, AND SURVEILLANCE 173
8.4.2.1 Rising adoption of AI and IoT technologies for farm management to propel the growth of monitoring and surveillance 173
8.4.3 OTHERS 174
8.5 PRECISION FORESTRY 174
FIGURE 69 SILVICULTURE AND FIRE MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 174
TABLE 101 PRECISION FORESTRY MARKET, BY FUNCTION, 2017–2020 (USD MILLION) 175
TABLE 102 PRECISION FORESTRY MARKET, BY FUNCTION, 2021–2026 (USD MILLION) 175
8.5.1 GENETICS AND NURSERIES 175
8.5.1.1 UAVs/drones are increasingly being used for tree plantation 175
8.5.2 SILVICULTURE AND FIRE MANAGEMENT 176
8.5.2.1 High adoption of wireless sensor network-based forest fire detection systems to propel the growth of silviculture and fire management 176
8.5.3 HARVESTING MANAGEMENT 176
8.5.3.1 Harvesting management to account for largest market share during the forecast period 176
8.5.4 INVENTORY AND LOGISTICS MANAGEMENT 176
8.5.4.1 Inventory and logistics management helps in manual error to make the supply chain more effective 176
8.6 SMART GREENHOUSE 177
TABLE 103 SMART GREENHOUSE MARKET, BY FUNCTION, 2017–2020 (USD MILLION) 177
TABLE 104 SMART GREENHOUSE MARKET, BY FUNCTION, 2021–2026 (USD MILLION) 177
8.6.1 COMMERCIAL 178
8.6.1.1 Automation system to increase cultivation in commercial greenhouse 178
8.6.2 RESEARCH 178
8.6.2.1 Increase in demand for customized greenhouses for Research will drive the segment 178
8.6.3 UNIVERSITIES & SCHOOLS 178
8.6.3.1 School greenhouse is an effective way to educate students about eco-friendly farming practices 178
8.6.4 HVAC MANAGEMENT 178
8.6.4.1 Greenhouse helps in providing an optimal indoor environment for plant growth 178
8.6.5 YIELD MONITORING AND HARVESTING 179
8.6.5.1 Yield monitoring tracks temperature, humidity, and light in the room to improves productivity 179
8.6.6 WATER & FERTILIZER MANAGEMENT 179
8.6.6.1 Water & fertilizer management helps in reducing waste and production costs of greenhouse 179
8.6.7 OTHERS 179
8.7 OTHERS 179″

9 SMART AGRICULTURE MARKET, BY FARM SIZE 180
9.1 INTRODUCTION 181
FIGURE 70 MEDIUM FARMS TO LEAD SMART AGRICULTURE MARKET
FROM 2021 TO 2026 181
TABLE 105 SMART AGRICULTURE MARKET, BY FARM SIZE, 2017–2020 (USD MILLION) 181
TABLE 106 SMART AGRICULTURE MARKET, BY FARM SIZE, 2021–2026 (USD MILLION) 181
FIGURE 71 SMALL FARMS TO DOMINATE PRECISION FARMING MARKET DURING FORECAST PERIOD 182
TABLE 107 PRECISION FARMING MARKET, BY FARM SIZE, 2017–2020 (USD MILLION) 182
TABLE 108 PRECISION FARMING MARKET, BY FARM SIZE, 2021–2026 (USD MILLION) 182
FIGURE 72 LIVESTOCK MONITORING MARKET FOR MEDIUM-SIZED FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 183
TABLE 109 LIVESTOCK MONITORING MARKET, BY FARM SIZE,
2017–2020 (USD MILLION) 183
TABLE 110 LIVESTOCK MONITORING MARKET, BY FARM SIZE,
2021–2026 (USD MILLION) 183
TABLE 111 SMART GREENHOUSE MARKET, BY FARM SIZE, 2017–2020 (USD MILLION) 184
TABLE 112 SMART GREENHOUSE MARKET, BY FARM SIZE, 2021–2026 (USD MILLION) 184
9.2 SMALL FARMS 184
9.2.1 SMALL FARMS TO GROW AT HIGHEST RATE DURING FORECAST PERIOD 184
FIGURE 73 AMERICAS TO LEAD SMART AGRICULTURE MARKET FOR SMALL FARMS DURING FORECAST PERIOD 185
TABLE 113 SMART AGRICULTURE MARKET FOR SMALL FARMS, BY REGION,
2017–2020 (USD MILLION) 185
TABLE 114 SMART AGRICULTURE MARKET FOR SMALL FARMS, BY REGION,
2021–2026 (USD MILLION) 185
9.3 MEDIUM FARMS 186
9.3.1 MEDIUM FARMS ARE CONSTANTLY ADOPTING MONITORING SOLUTIONS 186
FIGURE 74 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS IN EUROPE TO GROW AT HIGHEST CAGR FROM 2021 TO 2026 186
TABLE 115 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2017–2020 (USD MILLION) 186
TABLE 116 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2021–2026 (USD MILLION) 187
9.4 LARGE FARMS 187
9.4.1 LARGE FARMS USE PRECISION FARMING TECHNOLOGIES LIKE GPS FOR SOIL MAPPING 187
FIGURE 75 AMERICAS EXPECTED TO LEAD SMART AGRICULTURE MARKET FOR LARGE FARMS FROM 2021 TO 2026 188
TABLE 117 SMART AGRICULTURE MARKET FOR LARGE FARMS, BY REGION,
2017–2020 (USD MILLION) 188
TABLE 118 SMART AGRICULTURE MARKET FOR LARGE FARMS, BY REGION,
2021–2026(USD MILLION) 188

10 SMART AGRICULTURE MARKET, BY GEOGRAPHY 189
10.1 INTRODUCTION 190
FIGURE 76 IMPACT OF COVID-19 ON SMART AGRICULTURE MARKET IN AMERICAS 190
TABLE 119 POST-COVID-19: SMART AGRICULTURE MARKET IN AMERICAS,
2017–2026 (USD MILLION) 190
TABLE 120 SMART AGRICULTURE MARKET, BY GEOGRAPHY, 2017–2020 (USD MILLION) 191
TABLE 121 SMART AGRICULTURE MARKET, BY GEOGRAPHY, 2021–2026 (USD MILLION) 191
10.2 AMERICAS 192
TABLE 122 SMART AGRICULTURE MARKET IN AMERICAS, BY OFFERING,
2017–2020 (USD MILLION) 192
TABLE 123 SMART AGRICULTURE MARKET IN AMERICAS, BY OFFERING,
2021–2026 (USD MILLION) 192
TABLE 124 SMART AGRICULTURE MARKET IN AMERICAS, BY AGRICULTURE TYPE,
2017–2020 (USD MILLION) 193
TABLE 125 SMART AGRICULTURE MARKET IN AMERICAS, BY AGRICULTURE TYPE,
2021–2026 (USD MILLION) 193
TABLE 126 SMART AGRICULTURE MARKET IN AMERICAS, BY REGION,
2017–2020 (USD MILLION) 193
TABLE 127 SMART AGRICULTURE MARKET IN AMERICAS, BY REGION,
2021–2026 (USD MILLION) 194
10.2.1 NORTH AMERICA 194
FIGURE 77 NORTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT 195
TABLE 128 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY OFFERING,
2017–2020 (USD MILLION) 195
TABLE 129 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY OFFERING,
2021–2026 (USD MILLION) 196
TABLE 130 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY,
2017–2020 (USD MILLION) 196
TABLE 131 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY,
2021–2026 (USD MILLION) 196
10.2.1.1 US 197
10.2.1.1.1 Presence of key players in the US to boost smart agriculture market growth 197
10.2.1.2 Canada 197
10.2.1.2.1 Increasing government initiatives and investments for automation of greenhouses to fuel growth of greenhouses in Canada 197
10.2.1.3 Mexico 198
10.2.1.3.1 Mexico expected to register the highest growth in the
North American market during the forecast period 198
10.2.2 SOUTH AMERICA 198
FIGURE 78 SOUTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT 199
TABLE 132 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY OFFERING,
2017–2020 (USD MILLION) 199
TABLE 133 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY OFFERING,
2021–2026 (USD MILLION) 200
TABLE 134 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY,
2017–2020 (USD MILLION) 200
TABLE 135 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY,
2021–2026 (USD MILLION) 200
10.2.2.1 Brazil 201
10.2.2.1.1 Rapid adoption of precision farming by commercial farmers to fuel the market growth in Brazil 201
10.2.2.2 Argentina 201
10.2.2.2.1 Argentina would be the fastest-growing market for smart agriculture solutions in South America during the forecast period 201
10.2.2.3 Rest of South America 201
10.3 EUROPE 202
FIGURE 79 EUROPE: SMART AGRICULTURE MARKET SNAPSHOT 202
FIGURE 80 IMPACT OF COVID-19 ON SMAR AGRICULTURE MARKET IN EUROPE 203
TABLE 136 POST COVID-19: SMART AGRICULTURE MARKET IN EUROPE,
2017–2026(USD MILLION) 203
TABLE 137 SMART AGRICULTURE MARKET IN EUROPE, BY OFFERING,
2017–2020 (USD MILLION) 204
TABLE 138 SMART AGRICULTURE MARKET IN EUROPE, BY OFFERING,
2021–2026 (USD MILLION) 204
TABLE 139 SMART AGRICULTURE MARKET IN EUROPE, BY AGRICULTURE TYPE,
2017–2020 (USD MILLION) 204
TABLE 140 SMART AGRICULTURE MARKET IN EUROPE, BY AGRICULTURE TYPE,
2021–2026 (USD MILLION) 205
TABLE 141 SMART AGRICULTURE MARKET IN EUROPE, BY COUNTRY,
2017–2020 (USD MILLION) 205
TABLE 142 SMART AGRICULTURE MARKET IN EUROPE, BY COUNTRY,

2017–2026 (USD MILLION) 210
TABLE 144 SMART AGRICULTURE MARKET IN APAC, BY OFFERING,
2017–2020 (USD MILLION) 210
TABLE 145 SMART AGRICULTURE MARKET IN APAC, BY OFFERING,
2021–2026 (USD MILLION) 211
TABLE 146 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE,
2017–2020 (USD MILLION) 211
TABLE 147 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE,
2021–2026 (USD MILLION) 211
TABLE 148 SMART AGRICULTURE MARKET IN APAC, BY COUNTRY,
2017–2020 (USD MILLION) 212
TABLE 149 SMART AGRICULTURE MARKET IN APAC, BY COUNTRY,
2021–2026 (USD MILLION) 212
10.4.1 CHINA 213
10.4.1.1 Population growth in China to boost adoption of smart agriculture practices 213
10.4.2 JAPAN 213
10.4.2.1 Rise in urban farming practices to fuel growth of smart agriculture market 213
10.4.3 AUSTRALIA 214
10.4.3.1 Government support plays a major role in the growth of the market 214
10.4.4 INDIA 214
10.4.4.1 India to provide attractive growth opportunities in precision farming during the forecast period 214
10.4.5 SOUTH KOREA 215
10.4.5.1 Increasing investments by the key players and government support will fuel the market growth during the forecast period 215
10.4.6 REST OF APAC 215
10.5 ROW 216
TABLE 150 SMART AGRICULTURE MARKET IN ROW, BY REGION/COUNTRY,
2017–2020 (USD MILLION) 216
TABLE 151 SMART AGRICULTURE MARKET IN ROW, BY REGION/COUNTRY,
2021–2026 (USD MILLION) 216
TABLE 152 SMART AGRICULTURE MARKET IN ROW, BY OFFERING,
2017–2020 (USD MILLION) 216
TABLE 153 SMART AGRICULTURE MARKET IN ROW, BY OFFERING,
2021–2026 (USD MILLION) 217
TABLE 154 SMART AGRICULTURE MARKET IN ROW, BY AGRICULTURE TYPE,
2017–2020 (USD MILLION) 217
TABLE 155 SMART AGRICULTURE MARKET IN ROW, BY AGRICULTURE TYPE,
2021–2026 (USD MILLION) 217
10.5.1 AFRICA 218
10.5.1.1 Precision agriculture market in Africa is expected to grow at a significant rate 218
10.5.2 MIDDLE EAST 218
10.5.2.1 Rapid technological developments in big data analytics and cloud-computing platforms expected to drive market 218
10.5.3 RUSSIA 219
10.5.3.1 Russia expected to account for the largest share of the smart agriculture market in RoW during the forecast period 219
11 COMPETITIVE LANDSCAPE 220
11.1 OVERVIEW 220
11.2 REVENUE ANALYSIS OF TOP 4 COMPANIES 220
FIGURE 83 REVENUE ANALYSIS (USD BILLION), 2016–2020 220
11.3 MARKET SHARE ANALYSIS, 2020 221
TABLE 156 SMART AGRICULTURE MARKET: DEGREE OF COMPETITION 221
11.4 COMPANY EVALUATION QUADRANT 223
11.4.1 STAR 223
11.4.2 EMERGING LEADER 223
11.4.3 PERVASIVE 223
11.4.4 PARTICIPANT 223
FIGURE 84 SMART AGRICULTURE MARKET: COMPANY EVALUATION QUADRANT, 2020 224
11.4.5 COMPANY FOOTPRINT 225
TABLE 157 COMPANY FOOTPRINT: SMART AGRICULTURE MARKET 225
TABLE 158 COMPANY OFFERING FOOTPRINT: SMART AGRICULTURE MARKET 226
TABLE 159 COMPANY APPLICATION FOOTPRINT: SMART AGRICULTURE MARKET 227
TABLE 160 COMPANY REGION FOOTPRINT: SMART AGRICULTURE MARKET 228
11.5 SMART AGRICULTURE MARKET STARTUP/SME EVALUATION QUADRANT, 2020 229
11.5.1 PROGRESSIVE COMPANIES 229
11.5.2 RESPONSIVE COMPANIES 229
11.5.3 DYNAMIC COMPANIES 229
11.5.4 STARTING BLOCKS 229
FIGURE 85 SMART AGRICULTURE MARKET, STARTUP/SME EVALUATION QUADRANT, 2020 230
11.6 COMPETITIVE SITUATIONS AND TRENDS 231
11.6.1 PRODUCT LAUNCHES AND DEVELOPMENTS 231
TABLE 161 PRODUCT LAUNCHES AND DEVELOPMENTS, 2019–2021 231
11.6.2 DEALS 232
TABLE 162 DEALS, 2019–2021 232
12 COMPANY PROFILES 233
12.1 INTRODUCTION 233
(Business overview, Products/Services offered, Recent developments & MnM View)*
12.2 KEY PLAYERS 233
12.2.1 JOHN DEERE 233
TABLE 163 JOHN DEERE: BUSINESS OVERVIEW 233
FIGURE 86 JOHN DEERE: COMPANY SNAPSHOT 234
12.2.2 TRIMBLE 239
TABLE 164 TRIMBLE: BUSINESS OVERVIEW 239
FIGURE 87 TRIMBLE: COMPANY SNAPSHOT 240
12.2.3 TOPCON POSITIONING SYSTEMS 244
TABLE 165 TOPCON POSITIONING SYSTEMS: BUSINESS OVERVIEW 244
12.2.4 DELAVAL 248
TABLE 166 DELAVAL: BUSINESS OVERVIEW 248
FIGURE 88 DELAVAL: COMPANY SNAPSHOT 249
12.2.5 AKVA 253
TABLE 167 AKVA: BUSINESS OVERVIEW 253
FIGURE 89 AKVA: COMPANY SNAPSHOT 254
12.2.6 ANTELLIQ (SUBSIDIARY OF MERCK & CO., INC.) 258
TABLE 168 ANTELLIQ: BUSINESS OVERVIEW 258
12.2.7 AFIMILK 261
TABLE 169 AFIMILK: BUSINESS OVERVIEW 261
12.2.8 INNOVASEA SYSTEMS 263
TABLE 170 INNOVASEA SYSTEMS: BUSINESS OVERVIEW 263
12.2.9 HELIOSPECTRA 266
TABLE 171 HELIOSPECTRA: BUSINESS OVERVIEW 266
FIGURE 90 HELIOSPECTRA: COMPANY SNAPSHOT 266
12.2.10 LUMIGROW 269
TABLE 172 LUMIGROW: BUSINESS OVERVIEW 269
12.2.11 ABACO GROUP 271
TABLE 173 ABACO GROUP: BUSINESS OVERVIEW 271
12.2.12 USE CASES 273
12.2.13 RIGHT TO WIN 274
*Details on Business overview, Products/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
12.3 OTHER PLAYERS 275
12.3.1 TREEMETRICS 275
12.3.2 RAVEN INDUSTRIES 276
12.3.3 AG LEADER TECHNOLOGY 277
12.3.4 AGJUNCTION 278
12.3.5 THE CLIMATE CORPORATION (SUBSIDIARY OF MONSANTO) 279
12.3.6 NEDAP 280
12.3.7 BOUMATIC 281
12.3.8 FANCOM (SUBSIDIARY OF CTB INTERNATIONAL CORP.) 282
12.3.9 AQUABYTE 283
12.3.10 STEINSVIK 284
12.3.11 VEMCO 285
12.3.12 NEXUS GREENHOUSE SYSTEMS 286
12.3.13 CERTHON 287
12.3.14 NV5 GEOSPATIAL 288
12.3.15 HITACHI CONSTRUCTION MACHINERY 289
12.3.16 AKUAKARE 290
12.3.17 GAMAYA 290
12.3.18 EC2CE 291
12.3.19 ERUVAKA TECHNOLOGIES 291
12.3.20 CROPX 292
13 APPENDIX 293
13.1 INSIGHTS FROM INDUSTRY EXPERTS 293
13.2 DISCUSSION GUIDE 294
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 296
13.4 AVAILABLE CUSTOMIZATION 298
13.5 RELATED REPORTS 298
13.6 AUTHOR DETAILS 299

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