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Smart Agriculture Market by Precision Farming, Livestock Monitoring, Precision Aquaculture, on-Cloud, on-Premises, System Integration & Consulting, Harvesting Management, HVAC Management and Water and Fertilizer Management - Global Forecast to 2029

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    Report

  • 296 Pages
  • December 2024
  • Region: Global
  • Markets and Markets
  • ID: 5023854
The smart agriculture market is expected to reach USD 23.38 billion by 2029 from USD 14.40 billion in 2024, at a CAGR of 10.2% during the 2024-2029 period.

The growing emphasis on sustainable practices is propelling the expansion of the smart agriculture market.

Market growth in smart agriculture is driven by increased need for sustainable agricultural practices. As these technologies deliver fundamental tools that lessen environmental impact and maintain higher productivity. Smart agriculture thus empowers the farmers to use their resources better through data-driven decisions which reduces any wastage or inefficiency. IOT sensors, Al analytics, and automated machinery deliver a sustainable approach towards farming in various crop conditions as they can be monitored and regulated in real-time. This accuracy produces enhanced yields with minimum resources, while maintaining soil health and biodiversity. Due to the growing awareness of sustainability across the world, these benefits make smart agriculture an important investment for both environmental and ecological issues.

Livestock monitoring is expected to register the highest CAGR during the forecast period

Livestock monitoring plays a crucial role in modern animal husbandry, focusing on enhancing the health, productivity, and welfare of farm animals. By employing various technologies and techniques, livestock monitoring enables farmers to collect, analyze, and interpret data related to animal behavior, health, and performance. This data-driven approach helps farmers make informed decisions regarding animal management practices.

A key tool in livestock monitoring is wearable devices, such as collars or ear tags, which are equipped with sensors that track vital parameters like movement, temperature, and other physiological data of individual animals. These devices provide real-time monitoring, allowing farmers to stay informed about the health and well-being of their animals. Therefore, livestock monitoring application is expected to register the highest CAGR during the forecast period.

Asia Pacific is projected to grow at the highest CAGR during the forecast period

The Asia Pacific region is expected to grow at the highest CAGR during the forecast period in the smart agriculture market. The rising adoption of technologies such as variable rate systems, smart irrigation controllers, and Al-powered farm analytics services is a major growth driver in this region. Moreover, the growing demand for automation in livestock and aquaculture farming across the region is anticipated to further enhance the market. Increasing animal numbers and the need for more meat products in places such as China, Australia, India, and Japan further catalyzes regional growth. The growing knowledge among farm owners about the benefits of smart agricultural technologies, such as faster responses, reliability, and cost efficiency, will further boost demand for such solutions in the Asia Pacific.

In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the smart agriculture market.

The break-up of the profile of primary participants in the smart agriculture market:

  • By Company Type: Tier 1 - 40%, Tier 2 - 40%, Tier 3 - 20%
  • By Designation Type: Directors - 40%, Managers - 40%, Others - 20%
  • By Region Type: Americas - 40%, Europe -20 %, Asia Pacific - 30%, RoW - 10%
The major players in the smart agriculture market are Deere & Company (US), Trimble Inc. (US), AGCO Corporation (US), Topcon (US), DeLaval (Sweden), AKVA Group (Norway), Allflex Livestock Intelligence (MSD Animal Health), Innovasea Systems Inc. (US), Afimilk Ltd. (Israel), Heliospectra (Sweden), Ponsse Oyj (Finland), Komatsu Forest (Sweden), ScaleAQ (Norway), Tigercat International Inc. (Canada), Ag Leader Technology (US), Certhon, Nedap N.V. (Netherlands), Argus Control Systems Limited (Canada), DAIRYMASTER (Ireland), DICKEY-john (US), ABACO S.P.A. (Italy), TeeJet Technologies (US), Fancom BV (Netherlands), Sensaphone (US), BouMatic (US), and CeresAI (US).

Research Coverage

This report has categorized the smart agriculture market by agriculture type (precision farming, precision forestry, livestock monitoring, precision aquaculture, smart greenhouse, other agriculture types), offering (hardware, software, services), farm size (small, medium, and large), application (precision farming, precision forestry, livestock monitoring, precision aquaculture, smart greenhouse, other applications), and region (Americas, Europe, Asia Pacific, RoW). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the smart agriculture market.

A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; collaborations, partnerships, agreements, contracts, product launches, product developments, joint ventures, sales partnerships, acquisitions, and recent developments associated with the smart agriculture market. Competitive analysis of upcoming startups in the smart agriculture market ecosystem is covered in this report.

Reasons to buy the report:

The report will help the market leaders/new entrants in this market with information on the closest approximate revenues for the overall smart agriculture market and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market and plan suitable go-to-market strategies. The report also helps stakeholders understand the objectives of the market and provides information on key market drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:

  • Analysis of key drivers (The growing emphasis on sustainable practices is propelling the expansion of the smart agriculture market), restraints (interoperability issues due to absence of standardization and protocols), opportunities (accelerating investments and initiatives towards smart agriculture), and challenges (presence of security and privacy risks)
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches, and product developments in the smart agriculture market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the smart agriculture market across varied regions.
  • Market Diversification: Detailed information about new products, untapped geographies, recent developments, and investments in the smart agriculture market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Deere & Company (US), Trimble Inc. (US), AGCO Corporation (US), Topcon (US), DeLaval (Sweden).

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered and Regional Scope
1.3.2 Inclusions and Exclusions, by Company
1.3.3 Inclusions and Exclusions, by Agriculture Type
1.3.4 Inclusions and Exclusions, by Offering
1.3.5 Inclusions and Exclusions, by Farm Size
1.3.6 Inclusions and Exclusions, by Application
1.3.7 Inclusions and Exclusions, by Region
1.3.8 Years Considered
1.4 Currency
1.5 Units Considered
1.6 Limitations
1.7 Stakeholders
1.8 Summary of Changes
2 Research Methodology
2.1 Research Approach
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 List of Key Primary Interview Participants
2.1.2.3 Breakdown of Primaries
2.1.2.4 Key Data from Primary Sources
2.1.2.5 Key Industry Insights
2.1.3 Secondary and Primary Research
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.1.1 Approach to Obtain Market Size Using Bottom-Up Analysis (Demand Side)
2.2.2 Top-Down Approach
2.2.2.1 Approach to Obtain Market Size Using Top-Down Analysis (Supply Side)
2.3 Factor Analysis
2.3.1 Supply-Side Analysis
2.3.2 Growth Forecast Assumptions
2.4 Market Breakdown and Data Triangulation
2.5 Research Assumptions
2.6 Risk Assessment
3 Executive Summary
4 Premium Insights
4.1 Attractive Growth Opportunities in Smart Agriculture Market
4.2 Smart Agriculture Market, by Application
4.3 Smart Agriculture Market, by Farm Size
4.4 Smart Agriculture Market, by Agriculture Type
4.5 Smart Agriculture Market, by Offering
4.6 Smart Agriculture Market in Americas, by Agriculture Type and Country, 2024
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Pressure on Food Supply Chain
5.2.1.2 Accelerating Demand for IoT and AI-based Systems
5.2.1.3 Surging Demand for Sustainable Practices
5.2.2 Restraints
5.2.2.1 Interoperability Issues due to Lack of Standardization and Protocols
5.2.2.2 High Initial Cost
5.2.2.3 Connectivity and Infrastructure Limitations
5.2.3 Opportunities
5.2.3.1 Increasing Integration of Drones and Robotic Systems
5.2.3.2 Surging Investment and Initiatives Towards Smart Agriculture
5.2.4 Challenges
5.2.4.1 Lack of Digital Literacy
5.2.4.2 Security and Privacy Infringement
5.3 Value Chain Analysis
5.4 Ecosystem Analysis
5.5 Investment and Funding Scenario
5.6 Trends/Disruptions Impacting Customer Business
5.7 Technology Analysis
5.7.1 Key Technologies
5.7.1.1 Internet of Things (IoT)
5.7.1.2 M2M Solutions
5.7.1.3 Robotics
5.7.1.4 Artificial Intelligence (AI)
5.7.1.5 Blockchain
5.7.2 Complementary Technologies
5.7.2.1 Robotic Cages
5.7.2.2 Underwater Drones
5.7.2.3 Telematics Integration with Forest Mechanization
5.7.3 Adjacent Technologies
5.7.3.1 LiDAR-Fitted UAVs
5.8 Pricing Analysis
5.8.1 Average Selling Price of Key Players
5.8.2 Average Selling Price Trend of Smart Agriculture Systems, by Offering
5.8.3 Average Selling Price Trend of Smart Agriculture Systems, by Region
5.9 Key Stakeholders & Buying Criteria
5.9.1 Key Stakeholders in Buying Process
5.9.2 Buying Criteria
5.10 Porter's Five Forces Analysis
5.10.1 Threat of New Entrants
5.10.2 Threat of Substitutes
5.10.3 Bargaining Power of Suppliers
5.10.4 Bargaining Power of Buyers
5.10.5 Intensity of Competitive Rivalry
5.11 Impact of AI/Gen AI on Smart Agriculture Market
5.12 Case Studies
5.12.1 Adoption of Innovasea System's Turn-Key Solution Helped Establish Open Blue's Open-Ocean Fish Farm
5.12.2 Innovasea System Developed Evolution Pen for Earth Ocean Farms to Resolve Seasonal Challenges
5.12.3 Philips Lighting and Leroy Seafood Developed Intelligent Led Lighting Solution for Norway's Salmon Industry
5.12.4 Akva Group Provided Aquaculture Products to Erko Seafood to Support Salmon and Trout Production
5.13 Trade Analysis
5.13.1 Import Scenario (HS Code 8432)
5.13.2 Export Scenario (HS Code 8432)
5.14 Patent Analysis
5.15 Regulatory Landscape
5.15.1 Regulatory Bodies, Government Agencies, and Other Organizations
5.15.2 Standards
5.16 Key Conferences & Events, 2024-2025
6 Connecting Technologies Used in Smart Agriculture
6.1 Introduction
6.2 Internet of Things (IoT)
6.3 Cellular IoT
6.3.1 Lte-M
6.3.2 Nb-IoT
6.4 Lora
6.5 Global Navigation Satellite System (Gnss)
7 Smart Agriculture Market, by Farm Size
7.1 Introduction
7.2 Large Farms
7.2.1 Growing Dependence on Hired Labor for Operational Management
7.3 Medium Farms
7.3.1 Surging Need to Lower Labor Costs and Improve Productivity
7.4 Small Farms
7.4.1 Small Farms in Asia-Pacific Region Increasingly Adopting Advanced Technologies for Farming
8 Smart Agriculture Market, by Agriculture Type
8.1 Introduction
8.2 Precision Farming
8.2.1 Rising Demand for Higher Farm Efficiency and Increase in Crop Productivity
8.3 Livestock Monitoring
8.3.1 Demand for Cutting-Edge Technologies and Tools Growing to Enhance Productivity and Profitability in Dairy Farming
8.4 Precision Aquaculture
8.4.1 Increasing Integration of Smart Technologies to Monitor Aquafarms
8.4.2 Smart Feeding Systems
8.4.3 Monitoring and Control Systems
8.4.4 Underwater Remotely Operated Vehicles
8.5 Precision Forestry
8.5.1 Growing Need to Gather Real-Time Information for Decision-Making to Drive Market
8.6 Smart Greenhouse
8.6.1 Surging Need to Improve Operations Using Wired and Wireless Technologies
8.7 Other Agriculture Types
9 Smart Agriculture Market, by Offering
9.1 Introduction
9.2 Hardware
9.2.1 Precision Farming Hardware
9.2.1.1 Growing Availability of Precision Farming Tools to Fuel Demand
9.2.1.2 Automation & Control Systems
9.2.1.2.1 Drones/UAVs
9.2.1.2.1.1 Growing Need for Significant Cost Savings and Accurate Data for Vrt Applications to Drive Demand
9.2.1.2.2 Irrigation Controllers
9.2.1.2.2.1 Increasing Need to Improve Efficiency, Reduce Energy Consumption, and Maximize Crop Productivity to Support Market Growth
9.2.1.2.3 Gps/Gnss Devices
9.2.1.2.3.1 Accelerating Need to Resolve Poor Visibility Conditions to Increase Demand
9.2.1.2.4 Flow and Application Control Devices
9.2.1.2.4.1 Helps Eliminate Overlap and Double Coverage, Saves Inputs, and Promotes Efficiency
9.2.1.2.5 Guidance and Steering Systems
9.2.1.2.5.1 Helps Reduce Overlap and Inward Drift
9.2.1.2.6 Handheld Mobile Devices/Handheld Computers
9.2.1.2.6.1 Rising Need for Collection of Field Records, Soil Nutrient Data, and Soil Moisture Information to Increase Adoption
9.2.1.2.7 Displays
9.2.1.2.7.1 Surging Need for Farmers to View Farm-Related Information in Real Time
9.2.1.2.8 Others
9.2.1.3 Sensing & Monitoring Devices
9.2.1.3.1 Yield Monitors
9.2.1.3.1.1 Rising Need to Collect Real-Time Data on Crop Yields
9.2.1.3.2 Soil Sensors
9.2.1.3.2.1 Rising Need to Provide Real-Time Data on Various Soil Properties to Drive Market
9.2.1.3.3 Nutrient Sensors
9.2.1.3.3.1 Increasing Need to Measure Levels of Essential Plant Nutrients
9.2.1.3.4 Moisture Sensors
9.2.1.3.4.1 Accelerating Demand for Moisture Sensors to Manage Irrigation Systems More Efficiently
9.2.1.3.5 Temperature Sensors
9.2.1.3.5.1 Temperature Sensors Used to Make Sowing Decisions and Check Soil Sustainability for Planting
9.2.1.4 Water Sensors
9.2.1.4.1 Assist Farmers in Determining Most Efficient and Effective Times to Water Crops
9.2.1.5 Climate Sensors
9.2.1.5.1 Rising Need to Monitor and Record Climate Changes to Drive Demand
9.2.1.6 Other Sensors
9.2.2 Livestock Monitoring Hardware
9.2.2.1 Increasing Demand for Efficient Resource Management, Livestock Tracking, and Devising and Managing Feeding and Milking Plans
9.2.2.2 RFID Tags & Readers
9.2.2.2.1 Growing Need to Track and Monitor Livestock, Crops, and Farm Assets to Drive Demand
9.2.2.3 Sensors
9.2.2.3.1 Growing Demand for Enhanced Livestock Monitoring Applications
9.2.2.4 Transmitters & Mounting Equipment
9.2.2.4.1 Enables Owners to Observe Animals' Behavior Through Video Feed
9.2.2.5 Gps
9.2.2.5.1 Rising Need for Aid in Animal Management to Drive Market
9.2.2.6 Others
9.2.3 Precision Forestry Hardware
9.2.3.1 Rising Need to Optimize Efficiency and Accuracy of Forest Management Operations
9.2.3.2 Harvesters & Forwarders
9.2.3.2.1 Surging Importance for Precision Forestry Operations to Fuel Market Growth
9.2.3.3 UAVs/Drones
9.2.3.3.1 Rising Need for Planting Trees and Reducing Associated Costs
9.2.3.4 Gps
9.2.3.4.1 Rising Demand for Site-Specific Tree Management with High Precision
9.2.3.5 Cameras
9.2.3.5.1 Growing Need to Monitor Trees in Forests to Drive Demand
9.2.3.6 Sensors & RFID Tags
9.2.3.6.1 Rising Number of Illegal Cutting and Smuggling of Trees
9.2.3.7 Variable Rate Controllers
9.2.3.7.1 Rising Adoption in Application of Herbicides and Fertilizers
9.2.3.8 Others
9.2.4 Precision Aquaculture Hardware
9.2.4.1 Surging Need for Effective Management of Aquaculture Farms
9.2.4.2 Monitoring Devices
9.2.4.2.1 Increasing Need for Aquatic Farm Efficiency and Productivity
9.2.4.2.2 Temperature and Environmental Monitoring Devices
9.2.4.2.3 Ph and Dissolved Oxygen Sensors
9.2.4.2.4 Others
9.2.4.3 Camera Systems
9.2.4.3.1 Rising Demand to Monitor Feeding Response, Feeding Rate, and Fish Behavior
9.2.4.4 Control Systems
9.2.4.4.1 Need for Comprehensive Control Over Aquaculture Operations to Drive Demand
9.2.4.5 Others
9.2.5 Smart Greenhouse Hardware
9.2.5.1 Increasing Need to Improve Plant Growth, Increase Yields, and Reduce Waste
9.2.5.2 HVAC Systems
9.2.5.2.1 Demand for Improved Indoor Environment in Smart Greenhouses
9.2.5.3 Led Grow Lights
9.2.5.3.1 Growing Use as Supplemental Lighting Source to Drive Market
9.2.5.4 Irrigation Systems
9.2.5.4.1 Surging Adoption for Proper and Timely Watering of Each Zone in Greenhouses
9.2.5.5 Material Handling Equipment
9.2.5.5.1 Growing Adoption for Mechanization of Greenhouses
9.2.5.6 Valves & Pumps
9.2.5.6.1 Growing Need to Maintain Optimal Flow of Water in Greenhouses
9.2.5.7 Control Systems
9.2.5.7.1 Rising Need for Ease in Heating and Cooling Operations
9.2.5.8 Sensors & Cameras
9.2.5.8.1 Growing Need for Quantitative Information to Guide Farm Owners
9.2.6 Other Hardware
9.3 Software
9.3.1 On-Premises Software
9.3.1.1 Offers Lower Cost of Ownership
9.3.2 On-Cloud
9.3.2.1 Enables Shared Processing of Resources and Data to Users
9.3.2.2 Software-As-A-Service (SaaS)
9.3.2.3 Platform-As-A-Service (PaaS)
9.3.3 AI & Data Analytics
9.3.3.1 Growing Need to Improve Harvest Quality and Accuracy
9.3.3.2 Farm Management Software
9.4 Services
9.4.1 System Integration and Consulting Services
9.4.1.1 Growing Demand for Troubleshooting and Diagnosing Farm Management Issues
9.4.2 Managed Services
9.4.2.1 Need for Suggestions to Farmers to Enhance Production
9.4.2.2 Farm Operation Services
9.4.2.3 Data Services
9.4.2.4 Analytics Services
9.4.3 Connectivity Services
9.4.3.1 Rising Demand for Proper Communication Between Devices and End-users
9.4.4 Assisted Professional Services
9.4.4.1 Helps Improve Standards of Projects to Meet Industry Benchmarks
9.4.4.2 Supply Chain Management Services
9.4.4.3 Climate Information Services
9.4.4.4 Other Services
9.4.5 Maintenance and Support Services
9.4.5.1 Growing Demand for Efficient Farm Operations to Increase Adoption
9.4.5.2 Installation and Deployment Services
10 Smart Agriculture Market, by Application
10.1 Introduction
10.2 Precision Farming
10.2.1 Growing Demand for Enhanced Agricultural Production
10.2.2 Yield Monitoring
10.2.2.1 Helps Maximize Yields by Optimizing Irrigation and Fertilizer Application
10.2.2.2 On-Farm Yield Monitoring
10.2.2.3 Off-Farm Yield Monitoring
10.2.3 Crop Scouting
10.2.3.1 Rising Demand for Crop Management Tool for Making Timely Decisions During Harvesting
10.2.4 Field Mapping
10.2.4.1 Helps Farmers in Decision-Making Related to Yield Production
10.2.4.2 Boundary Mapping
10.2.4.3 Drainage Mapping
10.2.5 Variable Rate Application
10.2.5.1 Increasing Need to Optimize Crop Input for Efficient Farming
10.2.5.2 Precision Irrigation
10.2.5.3 Precision Seeding
10.2.5.4 Precision Fertilization
10.2.5.5 Pesticide Vra
10.2.6 Weather Tracking & Forecasting
10.2.6.1 Rising Need to Take Precautionary Measures for Farm Protection from Natural Calamities
10.2.7 Inventory Management
10.2.7.1 Growing Demand to Track and Organize Materials, Irrigation Parts, and Chemicals to Drive Market
10.2.8 Farm Labor Management
10.2.8.1 Helps Optimize Production and Manage Cost
10.2.9 Financial Management
10.2.9.1 Financial Management Critical for Optimum Fund Utilization and Determining Capital Investment
10.2.10 Others
10.3 Livestock Monitoring
10.3.1 Need to Enable Real-Time Monitoring of Health and Well-Being of Animals to Drive Market
10.3.2 Milk Harvesting Management
10.3.2.1 Need to Reduce Labor Costs and Increase Milking Efficiency Through Automated Milk Harvesting
10.3.3 Breeding Management
10.3.3.1 Breeding Management Necessary for Enhancing Long-Term Animal Productivity
10.3.4 Feeding Management
10.3.4.1 Rising Need to Accurately Formulate Animal Diet to Drive Market
10.3.5 Heat Stress Management
10.3.5.1 Need for Maintaining Comfortable Environment for Dairy Cows to Drive Demand
10.3.6 Animal Comfort Management
10.3.6.1 Increasing Awareness About Animal Health and Well-Being to Support Market Growth
10.3.7 Behavior Monitoring and Control
10.3.7.1 Rising Demand for Early Detection of Any Deviations in Animal Behavior
10.3.8 Others
10.4 Precision Aquaculture
10.4.1 Growing Need to Optimize Aquaculture Production and Management
10.4.2 Feeding Management
10.4.2.1 Feeding Management Necessary to Avoid Overfeeding
10.4.3 Monitoring, Control, and Surveillance
10.4.3.1 Rising Need to Minimize Waste and Environmental Impact
10.4.4 Others
10.5 Precision Forestry
10.5.1 Rising Need to Improve Sustainability of Forestry Practices
10.5.2 Genetics & Nurseries
10.5.2.1 Use of UAVs in Seed Planting Revolutionizing Plantation Management
10.5.3 Silviculture & Fire Management
10.5.3.1 Rising Need to Minimize Damage and Casualties due to Wildfires
10.5.4 Harvesting Management
10.5.4.1 Harvesting Management Essential for Preventing Forest Damage
10.5.5 Inventory & Logistics Management
10.5.5.1 Need to Diminish Manual Error and Enable Quick Reporting and Data Processing
10.6 Smart Greenhouse
10.6.1 HVAC Management Widely Adopted in Smart Greenhouses
10.6.2 HVAC Management
10.6.2.1 Need to Regulate Temperature for Favorable Plant Growth to Drive Demand
10.6.3 Yield Monitoring & Harvesting
10.6.3.1 Surging Need for Improved Efficiency and Productivity of Greenhouse Operations
10.6.4 Water & Fertilizer Management
10.6.4.1 Need to Reduce Water Wastage and Production Costs of Greenhouses to Drive Market
10.6.5 Others
10.7 Other Applications
11 Smart Agriculture Market, by Region
11.1 Introduction
11.2 Americas
11.2.1 Macroeconomic Outlook for Americas
11.2.2 North America
11.2.2.1 US
11.2.2.1.1 Increasing Presence of Key Players to Boost Market Growth
11.2.2.2 Canada
11.2.2.2.1 Surging Government Initiatives and Investments to Fuel Market Growth
11.2.2.3 Mexico
11.2.2.3.1 Government Initiatives to Promote Use of Remote Sensing Technology to Accelerate Market Growth
11.2.3 South America
11.2.3.1 Brazil
11.2.3.1.1 Availability of Large Lands at Low Cost to Propel Market
11.2.3.2 Argentina
11.2.3.2.1 Increasing Crop Production Areas to Drive Market Growth
11.2.3.3 Rest of South America
11.3 Europe
11.3.1 Macroeconomic Outlook for Europe
11.3.2 Germany
11.3.2.1 Increasing Number of Livestock Farms to Drive Market Growth
11.3.3 UK
11.3.3.1 Growing Innovation Supporting Market Growth
11.3.4 France
11.3.4.1 Increasing Adoption of Smart Agriculture Technologies to Drive Market Growth
11.3.5 Italy
11.3.5.1 Ongoing Shift Toward Smart Farming Techniques to Spur Market Growth
11.3.6 Netherlands
11.3.6.1 Rising Adoption of Advanced Technologies for Harvesting Processes to Fuel Market Growth
11.3.7 Rest of Europe
11.4 Asia-Pacific
11.4.1 Macroeconomic Outlook for Asia-Pacific
11.4.2 China
11.4.2.1 Government Initiatives to Advance Agriculture Sector to Drive Market
11.4.3 Japan
11.4.3.1 Labor Shortage to Fuel Demand for Smart Agriculture Solutions
11.4.4 Australia
11.4.4.1 Government Support and Presence of Research Organizations to Play Major Role in Market Growth
11.4.5 India
11.4.5.1 Government Initiatives to Increase Adoption of Smart Agriculture Solutions
11.4.6 South Korea
11.4.6.1 Rising Need to Produce High-Value Agricultural Products to Fuel Market Growth
11.4.7 Rest of Asia-Pacific
11.5 RoW
11.5.1 Macroeconomic Outlook for Rest of the World
11.5.2 Africa
11.5.2.1 Increasing Awareness Among Farmers to Contribute to Market Growth
11.5.3 Russia
11.5.3.1 Increasing Awareness About Benefits of Smart Agriculture to Support Market
11.5.4 Middle East
11.5.4.1 Developments in Big Data Analytics and Cloud-Computing Platforms to Support Market Growth
11.5.4.2 GCC Countries
11.5.4.2.1 Growing Adoption of Smart Irrigation Systems Driving Market Growth
11.5.4.3 Rest of Middle East
11.5.4.3.1 Escalating Demand for Food, Water, and Energy to Fuel Market Growth
12 Competitive Landscape
12.1 Introduction
12.2 Key Players' Strategies/Right to Win, 2020-2024
12.3 Revenue Analysis
12.4 Market Share Analysis, 2023
12.5 Company Valuation and Financial Metrics
12.6 Brand/Product Comparison
12.7 Company Evaluation Matrix: Key Players, 2023
12.7.1 Stars
12.7.2 Emerging Leaders
12.7.3 Pervasive Players
12.7.4 Participants
12.7.5 Company Footprint: Key Players, 2023
12.7.5.1 Company Footprint
12.7.5.2 Region Footprint
12.7.5.3 Offering Footprint
12.7.5.4 Application Footprint
12.7.5.5 Agriculture Type Footprint
12.8 Competitive Evaluation Matrix: Startups/SMEs, 2023
12.8.1 Progressive Companies
12.8.2 Responsive Companies
12.8.3 Dynamic Companies
12.8.4 Starting Blocks
12.8.5 Competitive Benchmarking: Startups/SMEs, 2023
12.8.5.1 Detailed List of Startups/SMEs
12.8.5.2 Competitive Benchmarking for Startups/SMEs
12.9 Competitive Situation and Trends
12.9.1 Product Launches, Product Developments, and Brand Launches
12.9.2 Deals
12.9.3 Expansions
12.9.4 Others
13 Company Profiles
13.1 Introduction
13.2 Key Players
13.2.1 Deere & Company
13.2.1.1 Business Overview
13.2.1.2 Products Offered
13.2.1.3 Recent Developments
13.2.1.3.1 Product Launches/Developments
13.2.1.3.2 Deals
13.2.1.3.3 Expansions
13.2.1.4 Analyst's View
13.2.1.4.1 Key Strengths
13.2.1.4.2 Strategic Choices
13.2.1.4.3 Weaknesses and Competitive Threats
13.2.2 Trimble Inc.
13.2.2.1 Business Overview
13.2.2.2 Products Offered
13.2.2.3 Recent Developments
13.2.2.3.1 Product Launches/Developments
13.2.2.4 Deals
13.2.2.5 Analyst's View
13.2.2.5.1 Key Strengths
13.2.2.5.2 Strategic Choices
13.2.2.5.3 Weaknesses and Competitive Threats
13.2.3 Agco Corporation
13.2.3.1 Business Overview
13.2.3.2 Products Offered
13.2.3.3 Recent Developments
13.2.3.3.1 Product Launches/Developments
13.2.3.3.2 Deals
13.2.3.4 Analyst's View
13.2.3.4.1 Key Strengths
13.2.3.4.2 Strategic Choices
13.2.3.4.3 Weaknesses and Competitive Threats
13.2.4 Topcon
13.2.4.1 Business Overview
13.2.4.2 Products Offered
13.2.4.3 Recent Developments
13.2.4.3.1 Deals
13.2.4.4 Analyst's View
13.2.4.4.1 Key Strengths
13.2.4.4.2 Strategic Choices
13.2.4.4.3 Weaknesses and Competitive Threats
13.2.5 Delaval
13.2.5.1 Business Overview
13.2.5.2 Products Offered
13.2.5.3 Recent Developments
13.2.5.3.1 Product Launches/Developments
13.2.5.3.2 Deals
13.2.5.4 Analyst's View
13.2.5.4.1 Key Strengths
13.2.5.4.2 Strategic Choices
13.2.5.4.3 Weaknesses and Competitive Threats
13.2.6 Akva Group
13.2.6.1 Business Overview
13.2.6.2 Products Offered
13.2.6.3 Recent Developments
13.2.6.3.1 Deals
13.2.6.3.2 Expansions
13.2.6.3.3 Others
13.2.7 Allflex Livestock Intelligence (Msd Animal Health)
13.2.7.1 Business Overview
13.2.7.2 Products Offered
13.2.7.3 Recent Developments
13.2.7.3.1 Product Launches/Developments
13.2.7.3.2 Deals
13.2.8 Innovasea Systems Inc.
13.2.8.1 Business Overview
13.2.8.2 Products Offered
13.2.8.3 Recent Developments
13.2.8.3.1 Product Launches/Developments
13.2.8.3.2 Deals
13.2.9 Afimilk Ltd.
13.2.9.1 Business Overview
13.2.9.2 Products Offered
13.2.9.3 Recent Developments
13.2.9.3.1 Deals
13.2.10 Heliospectra
13.2.10.1 Business Overview
13.2.10.2 Products Offered
13.2.10.3 Recent Developments
13.2.10.3.1 Product Launches/Developments
13.2.10.3.2 Deals
13.3 Other Players
13.3.1 Ponsse Oyj
13.3.2 Komatsu Forest
13.3.3 Scaleaq
13.3.4 Tigercat International Inc.
13.3.5 AG Leader Technology
13.3.6 Certhon
13.3.7 Nedap N.V.
13.3.8 Argus Control Systems Limited
13.3.9 Dairymaster
13.3.10 Dickey-John
13.3.11 Abaco S.P.A.
13.3.12 Teejet Technologies
13.3.13 Fancom Bv
13.3.14 Sensaphone
13.3.15 Boumatic
13.3.16 Ceresai
13.3.17 Raven Industries, Inc.
14 Appendix
14.1 Insights of Industry Experts
14.2 Discussion Guide
14.3 Knowledgestore: The Subscription Portal
14.4 Customization Options
List of Figures
Figure 1 Smart Agriculture Market Segmentation and Regional Scope
Figure 2 Smart Agriculture Market: Research Design
Figure 3 Smart Agriculture Market: Bottom-Up Approach
Figure 4 Smart Agriculture Market: Top-Down Approach
Figure 5 Market Size Estimation Methodology: Supply-Side Analysis (Approach 1)
Figure 6 Market Size Estimation Methodology: Supply-Side Analysis (Approach 2)
Figure 7 Data Triangulation: Smart Agriculture Market
Figure 8 Smart Agriculture Market: Global Snapshot
Figure 9 Precision Farming to Dominate Smart Agriculture Market During Forecast Period
Figure 10 Hardware Segment to Account for Largest Market Share During Forecast Period
Figure 11 Medium Segment to Account for Largest Market Share During Forecast Period
Figure 12 Asia-Pacific to Register Highest CAGR During Forecast Period
Figure 13 Growing Pressure on Food Supply Chain to Drive Market Growth
Figure 14 Precision Farming to Account for Largest Market Share During Forecast Period
Figure 15 Medium Farms to Account for Largest Market Share During Forecast Period
Figure 16 Precision Farming to Dominate Market During Forecast Period
Figure 17 Hardware to Account for Largest Market Share During Forecast Period
Figure 18 US to Dominate Smart Agriculture Market in Americas
Figure 19 Smart Agriculture Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Smart Agriculture Market Drivers: Impact Analysis
Figure 21 Smart Agriculture Market Restraints: Impact Analysis
Figure 22 Smart Agriculture Market Opportunities: Impact Analysis
Figure 23 Smart Agriculture Market Challenges: Impact Analysis
Figure 24 Value Chain Analysis: Smart Agriculture Market
Figure 25 Smart Agriculture Market: Ecosystem Analysis
Figure 26 Investment and Funding Scenario, 2021-2024
Figure 27 Trends/Disruptions Impacting Customer Business
Figure 28 Average Selling Price of Smart Agriculture Systems, by Key Players
Figure 29 Average Selling Price Trend of Smart Agriculture Systems, by Offering
Figure 30 Average Selling Price Trend for Smart Agriculture Systems, by Region
Figure 31 Influence of Stakeholders on Buying Process for Top Two Applications
Figure 32 Key Buying Criteria for Top Two Applications
Figure 33 Smart Agriculture Market: Porter's Five Forces Analysis
Figure 34 Impact of AI/Gen AI on Smart Agriculture Market
Figure 35 Import Scenario for HS Code 8432-Compliant Products, by Country, 2019-2023 (USD Million)
Figure 36 Export Scenario for HS Code 8432-Compliant Products, by Country, 2019-2023 (USD Million)
Figure 37 Patents Granted and Applied, 2013-2023
Figure 38 Medium Farms to Account for Largest Market Share During Forecast Period
Figure 39 Precision Farming to Dominate Smart Agriculture Market During Forecast Period
Figure 40 Hardware Segment to Account for Largest Market Share During Forecast Period
Figure 41 Precision Farming Segment to Account for Largest Market Share During Forecast Period
Figure 42 China to Register Highest CAGR During Forecast Period
Figure 43 Americas: Smart Agriculture Market Snapshot
Figure 44 Europe: Smart Agriculture Market Snapshot
Figure 45 Asia-Pacific: Smart Agriculture Market Snapshot
Figure 46 Smart Agriculture Market: Revenue Analysis of Key Players, 2020-2023
Figure 47 Smart Agriculture Market Share Analysis, 2023
Figure 48 Company Valuation, 2024
Figure 49 Financial Metrics (EV/Ebitda), 2024
Figure 50 Brand/Product Comparison
Figure 51 Smart Agriculture Market: Company Evaluation Matrix (Key Players), 2023
Figure 52 Smart Agriculture Market: Company Footprint
Figure 53 Smart Agriculture Market: Company Evaluation Matrix (Startups/SMEs), 2023
Figure 54 Deere & Company: Company Snapshot
Figure 55 Trimble Inc.: Company Snapshot
Figure 56 Agco Corporation: Company Snapshot
Figure 57 Delaval: Company Snapshot
Figure 58 Akva Group: Company Snapshot
Figure 59 Heliospectra: Company Snapshot

Companies Mentioned

  • Deere & Company
  • Trimble Inc.
  • Agco Corporation
  • Topcon
  • Delaval
  • Akva Group
  • Allflex Livestock Intelligence (Msd Animal Health)
  • Innovasea Systems Inc.
  • Afimilk Ltd.
  • Heliospectra
  • Ponsse Oyj
  • Komatsu Forest
  • Scaleaq
  • Tigercat International Inc.
  • AG Leader Technology
  • Certhon
  • Nedap N.V.
  • Argus Control Systems Limited
  • Dairymaster
  • Dickey-John
  • Abaco S.P.A.
  • Teejet Technologies
  • Fancom Bv
  • Sensaphone
  • Boumatic
  • Ceresai
  • Raven Industries, Inc.

Methodology

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Table Information