農業IoTの世界市場予測:提供別、用途別

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1 Introduction (Page No. – 22)
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Years Considered
1.4 Currency
1.5 Stakeholders
2 Research Methodology (Page No. – 25)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Major Secondary Sources
2.1.1.2 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primary Interviews With Experts
2.1.2.2 Key Data From Primary Sources
2.1.2.3 Breakdown of Primaries
2.1.3 Secondary and Primary Research
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.1.1 Approach for Capturing Market Size By Bottom-Up Approach (Demand Side):
2.2.2 Top-Down Approach
2.2.2.1 Approach for Capturing Market Size By Top-Down Approach (Supply Side):
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Executive Summary (Page No. – 35)
4 Premium Insights (Page No. – 39)
4.1 Attractive Opportunities in Agriculture IoT Market
4.2 Market in APAC, By Application and Country
4.3 Market, By Offering
4.4 Market, By Agriculture Type
4.5 Market, By Region
4.6 Geographic Analysis of Market
5 Market Overview (Page No. – 43)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Adoption of IoT and AI By Farmers and Growers
5.2.1.2 Growing Focus on Livestock Monitoring and Disease Detection
5.2.1.3 Rising Demand for Agricultural Production Output
5.2.1.4 Governments Support to Adopt Modern Agricultural Techniques
5.2.2 Restraints
5.2.2.1 Fragmented Agriculture Industry
5.2.2.2 High Technological Cost and Limited Technical Knowledge and Skills of Farmers
5.2.3 Opportunities
5.2.3.1 Advent of Big Data in Agriculture Farm
5.2.3.2 Introduction of Agriculture-Specific Applications in Smartphones
5.2.3.3 Adoption of Drones in Precision Farming
5.2.4 Challenges
5.2.4.1 Unavailability of Simple and Standardized Data Management and Data Aggregation Tools
5.2.4.2 Lack of Standardization in Smart Agriculture Industry
5.2.5 Emerging Trends in Agriculture Industry
5.2.6 Technologies Influencing Future Precision Agriculture – A Road Map
5.2.7 Supply Chain Analysis
5.3 Value Chain Analysis
5.3.1 Major Stakeholders in Precision Farming Ecosystem
6 Agriculture IoT Market, By Offering (Page No. – 53)
6.1 Introduction
6.2 Hardware
6.2.1 Precision Farming Hardware
6.2.1.1 Automation and Control Systems
6.2.1.1.1 Drones/UAVS
6.2.1.1.1.1 Use of Drones Or Unmanned Aerial Vehicles (UAVS) in Precision Farming Enables Cost Saving
6.2.1.1.2 Irrigation Controllers
6.2.1.1.2.1 Improved Efficiency of Agricultural Irrigation Systems Substantially Contributes to Effective Management of Water
6.2.1.1.3 GPS/GNSS Systems
6.2.1.1.3.1 GPS/GNSS-Based Systems Find Applications in Farm Planning, Field Mapping, Soil Sampling, Guidance Technology, Crop Scouting, and Yield Mapping
6.2.1.1.4 Flow and Application Control Devices
6.2.1.1.4.1 Use of Flow and Application Control Devices Enables Even Application of Materials
6.2.1.1.5 Guidance and Steering
6.2.1.1.5.1 Reduced Machinery Costs and Accurate Placement of Inputs are Key Benefits Offered By Guidance and Steering Systems
6.2.1.1.6 Handheld Mobile Devices/Handheld Computers
6.2.1.1.6.1 Handheld Displays are Used to Guide Operators Regarding Variable Rate Applications of Fertilizers, Pesticides, Seeding, Etc.
6.2.1.1.7 Displays
6.2.1.1.7.1 Displays are Used to View Field Maps and Grid Alignments, as Well as Navigate Tractors and Agricultural Equipment
6.2.1.1.8 Others
6.2.1.2 Sensing and Monitoring Devices
6.2.1.2.1 Yield Monitors
6.2.1.2.1.1 Yield Maps Provide Information for Determining Effects of Fertilizers, Pesticides, and Seeding, as Well as Practices Such as Tillage and Irrigation
6.2.1.2.2 Soil Sensors
6.2.1.2.2.1 Soil Moisture Measurement is Important as It Helps Farmers Manage Their Irrigation Systems More Efficiently
6.2.1.2.3 Water Sensors
6.2.1.2.3.1 Water Sensors are Used in Fish Farming to Measure and Detect Water Flow and Control Irrigation Effectively
6.2.1.2.4 Climate Sensors
6.2.1.2.4.1 Climate Sensors are Gaining Significance in Market as Climate Change is Becoming Huge Concern
6.2.1.2.5 Others
6.2.2 Precision Forestry Hardware
6.2.2.1 Harvesters & Forwarders
6.2.2.1.1 Harvesters and Forwarders are Major Components of the Ctl System
6.2.2.2 UAVS/Drones
6.2.2.2.1 Drones are Also Used to Capture Vital Forest Data Such as Depth of Snow in Forests and Extent of Carbon Storage Within Forest
6.2.2.3 GPS
6.2.2.3.1 GPS is Used in Forests for Site-Specific Tree Management With High Precision
6.2.2.4 Cameras
6.2.2.4.1 Demand for High-Resolution Cameras has Increased in Recent Years in Forests for Tree Monitoring
6.2.2.5 RFID and Sensors
6.2.2.5.1 RFID and Sensors are Used Extensively to Track, Identify, and Monitor Trees in Forests
6.2.2.6 Variable Rate Controllers
6.2.2.6.1 Variable Rate Controllers are Integrated With Efficient Ground-Based Machines, Smart Planting Systems, and Smart Spraying Systems for Application of Herbicides and Fertilizers
6.2.2.7 Others
6.2.3 Livestock Monitoring Hardware
6.2.3.1 RFID Tags and Readers
6.2.3.1.1 Growers Can Determine Each Animal in Livestock and Track Their History and Performance Through RFID Tags
6.2.3.2 Sensors
6.2.3.2.1 Temperature Sensors, Skin Conductivity Sensors, Motion Sensors, and Environmental Humidity Sensors are Used in Livestock Monitoring Applications
6.2.3.3 Control System
6.2.3.3.1 All-Weather Wireless Transmitters and Receiver Systems Can Be Used to Send Wireless Video and Audio
6.2.3.4 GPS
6.2.3.4.1 Finding Missing Livestock is Possible With Using GPS Systems
6.2.3.5 Others
6.2.4 Fish Farm Monitoring Hardware
6.2.4.1 GPS/GNSS
6.2.4.1.1 GPS GNSS Systems are Becoming Widely Used Tools in Fish Farming for Fish Tracking and Fleet Navigation
6.2.4.2 Sensors
6.2.4.2.1 Sensors are Used to Monitor Real-Time Parameters to Control Water Quality and Prevent Diseases That Could Affect Fish
6.2.4.3 Others
6.2.5 Smart Greenhouse Hardware
6.2.5.1 HVAC Systems
6.2.5.1.1 HVAC Plays Vital Role in Maintaining Ideal Temperature for Plant Growth in Greenhouses
6.2.5.2 Led Grow Lights
6.2.5.2.1 Grow Lights are Used as Supplemental Lighting Sources Stimulating Plant Growth in Greenhouses
6.2.5.3 Sensors
6.2.5.3.1 Sensors Provide Quantitative Information to Help Guide and Automate Decision-Making Process Pertaining to Smart Greenhouses
6.2.6 Others
6.3 Software
6.3.1 Local/Web Based
6.3.2 Cloud Based
6.3.2.1 Platform as A Service (PaaS)
6.4 Services
6.4.1 System Integration and Consulting
6.4.2 Managed Services
6.4.2.1 Farm Operation Services
6.4.2.1.1 Farm Operation Services Provide Information on Traditional Farm Operations Such as Record Keeping and Farm Mapping Resources (Labor)
6.4.2.2 Data Services
6.4.2.2.1 Data Platform Services in Smart Agriculture Market are Capable of Integrating Entire Value Chain of Agribusiness
6.4.2.3 Analytics
6.4.2.3.1 Analytics Services Involve Analysis of Acquired Farm Data and Provision of Real-Time Information
6.4.3 Connectivity Services
6.4.4 Assisted Professional Services
6.4.4.1 Supply Chain Management Services
6.4.4.2 Climate Information Services
6.4.4.3 Others
6.4.5 Maintenance and Support
7 Agriculture IoT Market, By Agriculture Type (Page No. – 87)
7.1 Introduction
7.2 Precision Farming
7.3 Precision Forestry
7.4 Livestock Monitoring
7.5 Smart Greenhouse
7.6 Fish Farm Monitoring
7.7 Others
8 Agriculture IoT Market, By Application (Page No. – 100)
8.1 Introduction
8.2 Precision Farming Applications
8.2.1 Yield Monitoring
8.2.1.1 Yield Monitoring Includes Soil Monitoring and Nutrient Monitoring
8.2.2 Field Mapping
8.2.2.1 Field Mapping is Done Using Handheld Devices and Systems Equipped With GPS/GNSS
8.2.3 Crop Scouting
8.2.3.1 Crop Scouting Includes Use of Sophisticated Devices Such as GPS Receivers on Vehicles
8.2.4 Weather Tracking and Forecasting
8.2.4.1 Weather Tracking Analysis Modules Include Handheld Instruments, Software, and Sensors That Alert Farmers Even When There are Minor Changes in Weather
8.2.5 Irrigation Management
8.2.5.1 Irrigation Management Helps Enhancing Productivity of Fields and Minimizing Wastages of Water, Soil Infertility, Salinization, and Crop Water Stress
8.2.6 Inventory Management
8.2.6.1 Effective Farm Inventory Management Plays Integral Role in Managing Farm Inventories
8.2.7 Farm Labor Management
8.2.7.1 Farm Labor Management Software Helps in Applications Such as Crew Deployment and Payroll Management
8.2.8 Financial Management
8.2.8.1 Financial Management has Become Easier Due to Precision Agriculture Software
8.2.9 Others
8.3 Precision Forestry Applications
8.3.1 Genetics and Nurseries
8.3.1.1 Unmanned Aerial Vehicles/Drones are Increasingly Being Used for Tree Plantation
8.3.2 Silviculture and Fire Management
8.3.2.1 Wireless Sensor Network-Based Forest Fire Detection Systems are Adopted in Silviculture and Fire Management Applications
8.3.3 Harvesting Management
8.3.3.1 Harvesting Management to Hold Largest Market Share During Forecast Period
8.3.4 Inventory and Logistics Management
8.3.4.1 Inventory and Logistics Management to Witness Highest CAGR in Market for Precision Forestry Applications During Forecast Period
8.4 Livestock Monitoring Applications
8.4.1 Feeding Management
8.4.1.1 Hardware and Software Products Help Formulate and Update Cows’ Diets to Avoid Overfeeding and Resultant Fluctuations in Milk Production
8.4.2 Heat Stress Management
8.4.2.1 Cattle are Sensitive to Air Temperature, Radiant Temperature, Air Velocity, and Relative Humidity
8.4.3 Milk Harvesting Management
8.4.3.1 Automated Milk Harvesting Reduces Labor Cost, Increases Milking Efficiency, and Leads to Higher Yields
8.4.4 Breeding Management
8.4.4.1 Breeding Management is Highly Effective and Sustainable Approach for Increasing Animal Productivity in Long Term
8.4.5 Animal Comfort Management
8.4.5.1 High Level of Animal Comfort Results in Prominent Production Level Per Animal and Higher Product Quality
8.4.6 Behavior Monitoring and Management
8.4.6.1 Growing Use of Computerized Dairy Management Systems Creates New Opportunities for Automatic Routine Monitoring of Livestock Behavior
8.4.7 Others
8.5 Fish Farm Monitoring Applications
8.5.1 Fish Tracking and Fleet Navigation
8.5.1.1 Fleet Navigation Provides Real-Time Visibility, Location, Status, and Diagnostics
8.5.2 Feeding Management
8.5.2.1 Feeding Management Includes Choosing Right Feed, Using Correct Feeding Method, Calculating Feeding Cost, and Ensuring Cost-Effectiveness of Fish Farms
8.5.3 Water Quality Management
8.5.3.1 Fish Farms are Equipped With Sensors and Other Devices to Sense Water Quality and Take Appropriate Actions
8.5.4 Others
8.6 Smart Greenhouse Applications
8.6.1 HVAC Management
8.6.1.1 Wireless Systems and Sensors are Deployed to Meet Greenhouse Requirements
8.6.2 Yield Monitoring
8.6.2.1 Yield Monitors Can Track Temperature, Humidity, Light, and Other Factors Around Plants to Maximize Smart Greenhouse Yield
8.6.3 Water and Fertilizer Management
8.6.3.1 Advanced Technology-Based Tools Such as Ozone Water Treatment Systems, Filtration Motors, and Temperature and Humidity Sensors are Used for Water Management in Smart Greenhouses
8.7 Other Applications
9 Agriculture IoT Market, By Geography (Page No. – 118)
9.1 Introduction
9.2 Americas
9.2.1 North America
9.2.1.1 US
9.2.1.1.1 Growers in US are Using Sensing Technologies, Hardware Equipment, and Advanced Software Solutions to Efficiently Manage Their Crops, Livestock, Fish Farms, and Greenhouses
9.2.1.2 Canada
9.2.1.2.1 Most Companies in Canada Offer Customized Services to Livestock Farmers, Thereby Enabling Them to Monitor Their Livestock More Efficiently
9.2.1.3 Mexico
9.2.1.3.1 Mexican Government Provides Financial Support to Promote Use of Agriculture IoT Technologies
9.2.2 South America
9.2.2.1 Brazil
9.2.2.1.1 Brazilian Farmers Hold Large Farmlands and Adopt Smart Agriculture Technologies Such as GPS Trackers, Drones, and Sensors to Maximize Overall Farm Yield With Reduced Costs
9.2.2.2 Argentina
9.2.2.2.1 Argentina is Emphasizing on Increasing Livestock Export By Opening International Markets, Repealing Government Export Regulations, and Adopting New Methods of Production
9.2.2.3 Rest of South America
9.3 Europe
9.3.1 Germany
9.3.1.1 Germany is Pioneer in Adoption of Agriculture IoT Solutions
9.3.2 UK
9.3.2.1 UK is Focusing on Changing Its Agriculture IoT Landscape By Entering Into New Era of Technological Developments to Meet Rising Demand for Food By Growing Population
9.3.3 France
9.3.3.1 Driven By High Value of Crop and Importance of Quality, Several Precision Farming Research Projects Exist in Wine Production Areas of France
9.3.4 Italy
9.3.4.1 Start-Up Companies in Italy are Working on Agriculture IoT Solutions
9.3.5 Netherlands
9.3.5.1 Netherlands is Witnessing Steady Adoption Rate of Agriculture IoT Technologies
9.3.6 Rest of Europe
9.4 APAC
9.4.1 China
9.4.1.1 China Holds Huge Opportunities for Market
9.4.2 Japan
9.4.2.1 Japan is Technologically Advanced Country, Specifically in Agricultural Robotics and Precision Farming Technologies
9.4.3 Australia
9.4.3.1 Agriculture IoT in Australia is Dominated By Grains Industry
9.4.4 India
9.4.4.1 Adoption Rate of Agriculture IoT Technologies in India is Increasing Considerably
9.4.5 South Korea
9.4.5.1 South Korea has Presence of Many Smart Agriculture Device Providers and Manufacturers
9.4.6 Rest of APAC
9.5 Rest of World
9.5.1 Russia
9.5.1.1 Farmers and Growers in Russia are Using Some Precision Farming Technologies, Such as Navigation on Cultivators, GPS, and GIS
9.5.2 Africa
9.5.2.1 Farming Scenario has Been Changing in Africa With Introduction of Technologies Such as GPS/GIS and Drones
9.5.3 Middle East
9.5.3.1 Rapid Technological Developments in Big Data Analytics and Cloud Computing Platforms Contribute Significantly Toward Growth of Market in Middle East
10 Competitive Landscape (Page No. – 152)
10.1 Overview
10.1.1 Market Player Ranking Analysis
10.2 Competitive Leadership Mapping
10.2.1 Visionary Leaders
10.2.2 Dynamic Differentiators
10.2.3 Innovators
10.2.4 Emerging Companies
10.3 Strength of Product Portfolio
10.4 Business Strategy Excellence
10.5 Competitive Scenario
10.5.1 Product Launches, Product Developments, and Expansions
10.5.2 Agreements, Acquisitions, Collaborations, and Partnerships
11 Company Profiles (Page No. – 161)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis & MnM View)*
11.1 Introduction
11.2 Key Players
11.2.1 Deere and Company
11.2.2 Trimble Inc.
11.2.3 Agco Corporation
11.2.4 Raven Industries
11.2.5 Delaval (Subsidiary of Tetra Laval International, S.A.)
11.2.6 GEA Group
11.2.7 Agjunction
11.2.8 Antelliq (Subsidiary of Merck & Co., Inc)
11.2.9 Ponsse
11.2.10 Komatsu Forest
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis & MnM View Might Not Be Captured in Case of Unlisted Companies.
11.3 Other Key Players
11.3.1 Teejet Technologies
11.3.2 Topcon Positioning Systems
11.3.3 Dickey-John
11.3.4 Cropmetrics
11.3.5 DJI
11.3.6 Precisionhawk
11.3.7 Hexagon Agriculture
11.3.8 Granular
11.3.9 Tigercat
11.3.10 Tree Metrics
11.4 Innovators
11.4.1 Descartes Labs
11.4.2 Decisive Farming
11.4.3 Cainthus
11.4.4 Autonomous Tractor Corporation
11.4.5 Skyx
11.4.6 Nileworks Inc.
11.4.7 Gamaya
12 Appendix (Page No. – 198)
12.1 Discussion Guide
12.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
12.3 Available Customizations
12.4 Related Reports
12.5 Author Details




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