Smart Agriculture Market Size, Share and Trends

Report Code SE 4043
Published in Dec, 2024, By MarketsandMarkets™
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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

 

Smart Agriculture Market Size, Share & Trends

The global smart agriculture market is anticipated to grow from USD 14.40 billion in 2024 to USD 23.38 billion by 2029, expanding at a CAGR of 10.2% during the forecast period.

The growing pressure on the food supply chain and surging demand for sustainable practices are driving the growth of the market. The rising demand for IoT and AI-based systems is a major catalyst in the widespread adoption of smart agriculture technologies, as these advanced systems offer precise, data-driven insights. IoT devices collect real-time data, giving farmers the ability to make informed decisions tailored to specific conditions.

Smart Agriculture Market

Attractive Opportunities in the Smart Agriculture Market

AMERICAS

The market growth in the Americas can be attributed to the extensive adoption of advanced technologies aimed at increasing crop yields, optimizing crop management practices, and reducing resource wastage (such as water and fertilizers).

Growing pressure  on food supply chain and increasing initiatives and investments are driving the demand for smart agriculture solutions and services.

Product launches, product development, partnerships, agreements, and joint ventures are expected to offer lucrative opportunities for market players in the next five years.

The smart agriculture market in the Americas is projected to reach USD 6,346.2 million by 2029, registering a CAGR of 8.7% during the forecast period.

The US, Canada, Mexico, Brazil, and Argentina are likely to offer high growth opportunities for the providers of smart agriculture solutions.

Impact of AI in Smart Agriculture Market

The major use cases of AI/Gen AI in the smart agriculture market include predictive analysis, automated farming operations, climate adaptation strategies, and disease and pest detection. Predictive analytics supports data-driven decision-making by forecasting yields and optimizing resources, while disease and pest detection leverages real-time AI monitoring to protect crop health and reduce chemical usage. Climate adaptation strategies are becoming essential to withstand environmental changes. Automated farming increases efficiency and consistency, particularly in large-scale operations, and sustainability enhancements like precision irrigation and eco-friendly practices are vital for long-term agricultural viability. These features address key challenges in modern agriculture and support a sustainable path forward.

Smart Agriculture Market

Global Smart Agriculture Market Dynamics

DRIVER: Growing pressure on food supply chain

The increasing strain on the global food supply chain is driving the demand for smart agriculture technologies, which offer efficient, sustainable methods to boost food production with limited resources. The need for higher crop yields amid finite land and water resources and the impact of climate change on farming practices are increasing the adoption of smart agriculture solutions. Smart irrigation, soil monitoring, and predictive climate allow farmers to use resources efficiently and adapt to changing weather patterns. It helps farmers optimize inputs and reduce waste. These technologies enable more resilient agricultural practices that address the growing global food demand. Furthermore, smart agriculture improves the quality of food, meeting the rising expectations of consumers for nutrient-rich food. By integrating smart agriculture practices, farmers can better manage food security risks and ensure steady food production in an increasingly volatile environment. Moreover, the adoption of technology-driven tracking ensures transparency and food safety, while the use of automation tools-based resource management reduces operational costs. This dual focus on quality and efficiency allows farmers to stay competitive and sustainable despite rising costs and supply chain challenges. 

RESTRAINTS: Limited connectivity and infrastructure constraints

Connectivity and infrastructure limitations are major obstacles to the adoption of smart agriculture solutions, as many technologies require stable internet access and advanced digital infrastructure for operation. The tools that form part of smart agriculture are IoT sensors, drones, and cloud-based data analytics platforms, which require stable connectivity for data collection, transmission, and real-time processing. Infrastructure constraints can further raise the costs and complexity of installing smart agriculture systems. For example, regions without cellular or broadband connectivity are covered through specialized satellite connectivity, which is more expensive and less accessible. Lack of infrastructure complicates the integration of smart technology as one has to incur higher setup and maintenance costs to set up the needed networks. These constraints discourage the adoption of smart agriculture solutions, especially in remote areas. In rural and remote farming areas, access to high-speed internet is often limited or inconsistent, making it difficult for farmers to fully utilize these digital tools. The data obtained from farms using smart agriculture tools are vital, as they help make productive decisions. However, the absence of connectivity and infrastructure makes the tasks daunting for cultivators.

 

OPPORTUNITY: Surging investment and initiatives towards smart agriculture

Rising investments and initiatives in smart agriculture are driving significant market growth by meeting the need for efficient, sustainable, and high-yield farming practices. Precision farming technologies, such as drones, soil sensors, and satellite imagery, are benefiting from these investments, allowing farmers to optimize resources and reduce costs through real-time monitoring. Government and private initiatives supporting precision irrigation, regenerative farming, and organic pest control align with global sustainability goals and encourage eco-friendly farming. Governments are further bolstering smart agriculture by offering subsidies and supportive policies that lower adoption barriers. Advancements in technology, including GPS, remote sensing, and data analytics, enable farmers to gather detailed information about their fields, such as soil variability and crop health. This data allows for precise and targeted application of resources, including water and fertilizers, optimizing inputs and reducing waste. Rising concerns over water scarcity and environmental sustainability drive the need for efficient water management practices in agriculture. Precision irrigation aligns with these goals by delivering water directly to the root zone of plants, minimizing evaporation and runoff compared to traditional methods. As precision farming continues to expand, driven by technological innovations and sustainability imperatives, the demand for smart agriculture is expected to grow significantly.

CHALLENGE: Lack of digital literacy

The lack of digital literacy acts as a significant challenge in the adoption of smart agriculture solutions. These technologies often require users to be comfortable with data analysis, software platforms, and automated systems. Farmers often face operational challenges in using IoT sensors, data analytics derived from analytics platforms, and managing advanced machinery such as drones and robotics. The digital skill gap becomes a limitation for the proper understanding and adoption of smart agriculture technologies. This may affect the system's efficiency and RoI. With insufficient training or guidance, the adoption of these solutions might be met with apprehension on the part of the farmer since they could be perceived as too complex or because they may disturb traditional ways of farming. The lack of training among farmers presents significant barriers to the market growth. The adoption and operation of these systems to improve agricultural efficiency require a certain level of technical knowledge to be effective. Insufficient training and education lead to several challenges, such as difficulty in the initial installation and configuration of smart agriculture systems, which can result in frequent malfunctions, inefficiencies, and user frustration.

Smart Agriculture Market Ecosystem

Major companies offering smart agriculture solutions include Deere & Company (US), Trimble Inc. (US), AGCO Corporation (US), Topcon (US), DeLaval (Sweden), AKVA Group (Norway), Innovasea Systems Inc. (US), Afimilk Ltd. (Israel), and Heliospectra (Sweden), among others. These companies use organic growth strategies, such as product launches, brand launches, product developments, collaborations, joint ventures,  partnerships, agreements, contracts, acquisitions, and expansions, to strengthen their position in the market.

Top Companies in Smart Agriculture Market
 

Precision farming segment to dominate overall market from 2024 to 2029

The precision farming segment is estimated to account for the largest share of the overall smart agriculture market during the forecast period. This is driven by the increasing global demand for food and the emphasis on enhancing farm productivity and profitability through advanced agricultural practices. To meet this escalating demand, precision farming technologies offer transformative solutions, making traditional agricultural practices more efficient and predictable. Various tools such as display systems, GPS devices, handheld devices, sensors, and farm data management systems are employed to improve efficiency and productivity. These technologies enable the optimization of fertilizer application, reduce operational costs, and minimize environmental impact, positioning precision farming as a key approach to addressing global food security challenges. Furthermore, variable rate technology (VRT) enables the precise application of agricultural inputs, resulting in higher crop yields and improved quality. By ensuring that resources such as fertilizers and water are applied only where they are needed and in optimal amounts, VRT minimizes overuse and reduces waste. This resource-efficient approach not only enhances sustainability but also delivers significant cost savings over time. As a result, the adoption of VRT is expected to increase significantly among farmers in the near future. 

Hardware segment to account for largest market share during forecast period

The hardware segment accounts for the largest share of the overall smart agriculture market. This is driven by the widespread adoption of advanced tools and equipment such as drones, sensors, irrigation systems, handheld devices, GPS receivers, guidance and steering systems, and variable rate technology (VRT) solutions. Factors such as the global increase in livestock farm numbers, the expansion of average herd sizes, ongoing advancements in sensor technology, and the growing emphasis on cost-efficiency fuel the demand for hardware in smart agriculture. Precision farming leverages various hardware components, including sensors, drones, irrigation systems, and other components, to collect, process, and analyze critical data related to crops, soil, and weather conditions. These devices monitor environmental factors such as soil moisture, temperature, light levels, and other variables, providing farmers with real-time insights. Precision aquaculture relies on various hardware systems to manage aquaculture farms effectively. Key components include temperature and environmental sensors, pH and dissolved oxygen sensors, smart camera systems, and monitoring and control devices. These systems facilitate real-time tracking and monitoring of aquaculture species, along with the creation of tailored feeding plans for each cage on the farm.

Asia Pacific projected to register highest CAGR in smart agriculture market

Asia Pacific is projected to be the fastest-growing market for smart agriculture, driven by ongoing technological advancements and the growing recognition of the benefits of smart agriculture solutions. These benefits include reducing operational costs and enhancing farm productivity. The rapid population growth in developing countries across the region is placing increasing pressure on the supply of plant-based foods, cereals, meat, poultry, and dairy products. Farm owners are turning to advanced smart agriculture solutions to address these challenges to improve efficiency, increase productivity, and maximize profits. The widespread adoption of IoT-enabled smart agriculture systems further drives the market's expansion. Moreover, the growing automation of aquaculture farms in countries like Australia, Japan, China, Indonesia, Vietnam, Thailand, and India is significantly contributing to the rise of precision aquaculture in the region. The adoption of new technologies, such as farm software packages, yield monitoring sensors, crop growth sensors, variable rate nutrient application systems, and site-specific variability systems, is gaining traction in the Asia Pacific region. Strong government support, coupled with a significant labor shortage due to its aging population and increased investments in the aquaculture industry, is also creating new opportunities in precision aquaculture in the region.

LARGEST MARKET SHARE IN 2024
ASIA PACIFIC FASTER-GROWING MARKET IN REGION
Smart Agriculture Markett Size and Share

Recent Developments of Smart Agriculture Market

  • In April 2024, Trimble Inc. and Holmen, a Swedish forestry company, formed a collaboration in which Holmen selected Trimble's CONNECTED FOREST as its new comprehensive forest management system for Holmen Skog.
  • In April 2024, AGCO Corporation launched PTx, its new brand representation of its precision agriculture portfolio. It combines precision agriculture technologies from the cornerstones of AGCO's tech stack, precision planting, and its newest joint venture (JV), PTx Trimble.
  • In March 2024, Deere & Company, Kinze Manufacturing, and Ag Leader Technology formed a collaboration that makes it easier for farmers to integrate each company's equipment and technology solution into their farming operation. They will have the option to integrate their agronomic data in the John Deere Operations Center.
  • In March 2024, Topcon and Tabula collaborated to integrate their respective solutions to create a combined solution for ground-based fertilizer and spray application.
  • In January 2024, Deere & Company formed a partnership with SpaceX to deliver advanced satellite communications (SATCOM) service to farmers. This solution uses the Starlink network, which allows farmers facing rural connectivity challenges to fully leverage precision agriculture technologies.

Key Market Players

List of Top Smart Agriculture Market

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2029
Base year considered 2023
Forecast period 2024–2029
Forecast units Value (USD Million/Billion), Volume (Million Units)
Segments Covered By Agriculture Type, Offering, Farm Size, Application, and Region
Regions covered Americas, Europe, Asia Pacific, and RoW

Key Questions Addressed by the Report

Which are the major companies in the smart agriculture market? What are their major strategies to strengthen their market presence?
The major players in the smart agriculture market include Deere & Company (US), Trimble Inc. (US), AGCO Corporation (US), Topcon (US), DeLaval (Sweden), AKVA Group (Norway), Innovasea Systems Inc. (US), Afimilk Ltd. (Israel), and Heliospectra (Sweden), and the major strategies adopted by these players are product launches and developments.
What is smart agriculture? 
Smart agriculture leverages cutting-edge technologies such as the Internet of Things (IoT), sensors, location tracking systems, robotics, and artificial intelligence (AI) to streamline agricultural processes and reduce reliance on manual labor and other resources. This approach focuses on improving both the quality and quantity of crop yields while minimizing operational expenses. Moreover, data gathered from these advanced devices provides valuable insights, empowering farmers to make informed and efficient decisions regarding farm management.
Which region is expected to have the largest market share in the smart agriculture market?
Americas is expected to account for the largest market share in the smart agriculture market.
What are the drivers for the smart agriculture market?
Growing pressure on the food supply chain, accelerating demand for IoT and AI-based systems, and surging demand for sustainable practices are some of the major drivers and opportunities in the market.
How big is the global smart agriculture market today?
The global smart agriculture market is expected to reach USD 23.38 billion by 2029 from USD 14.40 billion in 2024, expanding at a CAGR of 10.2% during the forecast period.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
30
RESEARCH METHODOLOGY
35
EXECUTIVE SUMMARY
48
PREMIUM INSIGHTS
52
SMART AGRICULTURE MARKET OVERVIEW
55
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Growing pressure on food supply chain
    - Accelerating demand for IoT and AI-based systems
    - Surging demand for sustainable practices
    RESTRAINTS
    - Interoperability issues due to lack of standardization and protocols
    - High initial cost
    - Connectivity and infrastructure limitations
    OPPORTUNITIES
    - Increasing integration of drones and robotic systems
    - Surging investment and initiatives towards smart agriculture
    CHALLENGES
    - Lack of digital literacy
    - 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
    KEY TECHNOLOGIES
    - Internet of Things (IoT)
    - M2M solutions
    - Robotics
    - Artificial Intelligence (AI)
    - Blockchain
    COMPLEMENTARY TECHNOLOGIES
    - Robotic cages
    - Underwater drones
    - Telematics integration with forest mechanization
    ADJACENT TECHNOLOGIES
    - LiDAR-fitted UAVs
  • 5.8 PRICING ANALYSIS
    AVERAGE SELLING PRICE OF KEY PLAYERS
    AVERAGE SELLING PRICE TREND OF SMART AGRICULTURE SYSTEMS, BY OFFERING
    AVERAGE SELLING PRICE TREND OF SMART AGRICULTURE SYSTEMS, BY REGION
  • 5.9 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.10 PORTER'S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.11 IMPACT OF AI/GEN AI ON SMART AGRICULTURE MARKET
  • 5.12 CASE STUDIES
    ADOPTION OF INNOVASEA SYSTEM'S TURN-KEY SOLUTION HELPED ESTABLISH OPEN BLUE'S OPEN-OCEAN FISH FARM
    INNOVASEA SYSTEM DEVELOPED EVOLUTION PEN FOR EARTH OCEAN FARMS TO RESOLVE SEASONAL CHALLENGES
    PHILIPS LIGHTING AND LEROY SEAFOOD DEVELOPED INTELLIGENT LED LIGHTING SOLUTION FOR NORWAY'S SALMON INDUSTRY
    AKVA GROUP PROVIDED AQUACULTURE PRODUCTS TO ERKO SEAFOOD TO SUPPORT SALMON AND TROUT PRODUCTION
  • 5.13 TRADE ANALYSIS
    IMPORT SCENARIO (HS CODE 8432)
    EXPORT SCENARIO (HS CODE 8432)
  • 5.14 PATENT ANALYSIS
  • 5.15 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    STANDARDS
  • 5.16 KEY CONFERENCES & EVENTS, 2024−2025
CONNECTING TECHNOLOGIES USED IN SMART AGRICULTURE
91
  • 6.1 INTRODUCTION
  • 6.2 INTERNET OF THINGS (IOT)
  • 6.3 CELLULAR IOT
    LTE-M
    NB-IOT
  • 6.4 LORA
  • 6.5 GLOBAL NAVIGATION SATELLITE SYSTEM (GNSS)
SMART AGRICULTURE MARKET, BY FARM SIZE
93
  • 7.1 INTRODUCTION
  • 7.2 LARGE FARMS
    GROWING DEPENDENCE ON HIRED LABOR FOR OPERATIONAL MANAGEMENT
  • 7.3 MEDIUM FARMS
    SURGING NEED TO LOWER LABOR COSTS AND IMPROVE PRODUCTIVITY
  • 7.4 SMALL FARMS
    SMALL FARMS IN ASIA PACIFIC REGION INCREASINGLY ADOPTING ADVANCED TECHNOLOGIES FOR FARMING
SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE
99
  • 8.1 INTRODUCTION
  • 8.2 PRECISION FARMING
    RISING DEMAND FOR HIGHER FARM EFFICIENCY AND INCREASE IN CROP PRODUCTIVITY
  • 8.3 LIVESTOCK MONITORING
    DEMAND FOR CUTTING-EDGE TECHNOLOGIES AND TOOLS GROWING TO ENHANCE PRODUCTIVITY AND PROFITABILITY IN DAIRY FARMING
  • 8.4 PRECISION AQUACULTURE
    INCREASING INTEGRATION OF SMART TECHNOLOGIES TO MONITOR AQUAFARMS
    SMART FEEDING SYSTEMS
    MONITORING AND CONTROL SYSTEMS
    UNDERWATER REMOTELY OPERATED VEHICLES
  • 8.5 PRECISION FORESTRY
    GROWING NEED TO GATHER REAL-TIME INFORMATION FOR DECISION-MAKING TO DRIVE MARKET
  • 8.6 SMART GREENHOUSE
    SURGING NEED TO IMPROVE OPERATIONS USING WIRED AND WIRELESS TECHNOLOGIES
  • 8.7 OTHER AGRICULTURE TYPES
SMART AGRICULTURE MARKET, BY OFFERING
130
  • 9.1 INTRODUCTION
  • 9.2 HARDWARE
    PRECISION FARMING HARDWARE
    - Growing availability of precision farming tools to fuel demand
    - Automation & control systems
    - Sensing & monitoring devices
    - Water sensors
    - Climate sensors
    - Other sensors
    LIVESTOCK MONITORING HARDWARE
    - Increasing demand for efficient resource management, livestock tracking, and devising and managing feeding and milking plans
    - RFID tags & readers
    - Sensors
    - Transmitters & mounting equipment
    - GPS
    - Others
    PRECISION FORESTRY HARDWARE
    - Rising need to optimize efficiency and accuracy of forest management operations
    - Harvesters & forwarders
    - UAVs/Drones
    - GPS
    - Cameras
    - Sensors & RFID tags
    - Variable rate controllers
    - Others
    PRECISION AQUACULTURE HARDWARE
    - Surging need for effective management of aquaculture farms
    - Monitoring devices
    - Camera systems
    - Control systems
    - Others
    SMART GREENHOUSE HARDWARE
    - Increasing need to improve plant growth, increase yields, and reduce waste
    - HVAC systems
    - LED grow lights
    - Irrigation systems
    - Material handling equipment
    - Valves & pumps
    - Control systems
    - Sensors & cameras
    OTHER HARDWARE
  • 9.3 SOFTWARE
    ON-PREMISES SOFTWARE
    - Offers lower cost of ownership
    ON-CLOUD
    - Enables shared processing of resources and data to users
    - Software-as-a-Service (SaaS)
    - Platform-as-a-Service (PaaS)
    AI & DATA ANALYTICS
    - Growing need to improve harvest quality and accuracy
    - Farm management software
  • 9.4 SERVICES
    SYSTEM INTEGRATION AND CONSULTING SERVICES
    - Growing demand for troubleshooting and diagnosing farm management issues
    MANAGED SERVICES
    - Need for suggestions to farmers to enhance production
    - Farm operation services
    - Data services
    - Analytics services
    CONNECTIVITY SERVICES
    - Rising demand for proper communication between devices and end users
    ASSISTED PROFESSIONAL SERVICES
    - Helps improve standards of projects to meet industry benchmarks
    - Supply chain management services
    - Climate information services
    - Other services
    MAINTENANCE AND SUPPORT SERVICES
    - Growing demand for efficient farm operations to increase adoption
    - Installation and deployment services
    SMART AGRICULTURE MARKET, BY APPLICATION
SMART AGRICULTURE MARKET, BY APPLICATION
158
  • 10.1 INTRODUCTION
  • 10.2 PRECISION FARMING
    GROWING DEMAND FOR ENHANCED AGRICULTURAL PRODUCTION
    YIELD MONITORING
    - Helps maximize yields by optimizing irrigation and fertilizer application
    - On-farm yield monitoring
    - Off-farm yield monitoring
    CROP SCOUTING
    - Rising demand for crop management tool for making timely decisions during harvesting
    FIELD MAPPING
    - Helps farmers in decision-making related to yield production
    - Boundary mapping
    - Drainage mapping
    VARIABLE RATE APPLICATION
    - Increasing need to optimize crop input for efficient farming
    - Precision irrigation
    - Precision seeding
    - Precision fertilization
    - Pesticide VRA
    WEATHER TRACKING & FORECASTING
    - Rising need to take precautionary measures for farm protection from natural calamities
    INVENTORY MANAGEMENT
    - Growing demand to track and organize materials, irrigation parts, and chemicals to drive market
    FARM LABOR MANAGEMENT
    - Helps optimize production and manage cost
    FINANCIAL MANAGEMENT
    - Financial management critical for optimum fund utilization and determining capital investment
    OTHERS
  • 10.3 LIVESTOCK MONITORING
    NEED TO ENABLE REAL-TIME MONITORING OF HEALTH AND WELL-BEING OF ANIMALS TO DRIVE MARKET
    MILK HARVESTING MANAGEMENT
    - Need to reduce labor costs and increase milking efficiency through automated milk harvesting
    BREEDING MANAGEMENT
    - Breeding management necessary for enhancing long-term animal productivity
    FEEDING MANAGEMENT
    - Rising need to accurately formulate animal diet to drive market
    HEAT STRESS MANAGEMENT
    - Need for maintaining comfortable environment for dairy cows to drive demand
    ANIMAL COMFORT MANAGEMENT
    - Increasing awareness about animal health and well-being to support market growth
    BEHAVIOR MONITORING AND CONTROL
    - Rising demand for early detection of any deviations in animal behavior
    OTHERS
  • 10.4 PRECISION AQUACULTURE
    GROWING NEED TO OPTIMIZE AQUACULTURE PRODUCTION AND MANAGEMENT
    FEEDING MANAGEMENT
    - Feeding management necessary to avoid overfeeding
    MONITORING, CONTROL, AND SURVEILLANCE
    - Rising need to minimize waste and environmental impact
    OTHERS
  • 10.5 PRECISION FORESTRY
    RISING NEED TO IMPROVE SUSTAINABILITY OF FORESTRY PRACTICES
    GENETICS & NURSERIES
    - Use of UAVs in seed planting revolutionizing plantation management
    SILVICULTURE & FIRE MANAGEMENT
    - Rising need to minimize damage and casualties due to wildfires
    HARVESTING MANAGEMENT
    - Harvesting management essential for preventing forest damage
    INVENTORY & LOGISTICS MANAGEMENT
    - Need to diminish manual error and enable quick reporting and data processing
  • 10.6 SMART GREENHOUSE
    HVAC MANAGEMENT WIDELY ADOPTED IN SMART GREENHOUSES
    HVAC MANAGEMENT
    - Need to regulate temperature for favorable plant growth to drive demand
    YIELD MONITORING & HARVESTING
    - Surging need for improved efficiency and productivity of greenhouse operations
    WATER & FERTILIZER MANAGEMENT
    - Need to reduce water wastage and production costs of greenhouses to drive market
    OTHERS
  • 10.7 OTHER APPLICATIONS
SMART AGRICULTURE MARKET, BY REGION
178
  • 11.1 INTRODUCTION
  • 11.2 AMERICAS
    MACROECONOMIC OUTLOOK FOR AMERICAS
    NORTH AMERICA
    - US
    - Canada
    - Mexico
    SOUTH AMERICA
    - Brazil
    - Argentina
    - Rest of South America
  • 11.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    GERMANY
    - Increasing number of livestock farms to drive market growth
    UK
    - Growing innovation supporting market growth
    FRANCE
    - Increasing adoption of smart agriculture technologies to drive market growth
    ITALY
    - Ongoing shift toward smart farming techniques to spur market growth
    NETHERLANDS
    - Rising adoption of advanced technologies for harvesting processes to fuel market growth
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    - Government initiatives to advance agriculture sector to drive market
    JAPAN
    - Labor shortage to fuel demand for smart agriculture solutions
    AUSTRALIA
    - Government support and presence of research organizations to play major role in market growth
    INDIA
    - Government initiatives to increase adoption of smart agriculture solutions
    SOUTH KOREA
    - Rising need to produce high-value agricultural products to fuel market growth
    REST OF ASIA PACIFIC
  • 11.5 ROW
    MACROECONOMIC OUTLOOK FOR REST OF THE WORLD
    AFRICA
    - Increasing awareness among farmers to contribute to market growth
    RUSSIA
    - Increasing awareness about benefits of smart agriculture to support market
    MIDDLE EAST
    - Developments in big data analytics and cloud-computing platforms to support market growth
    - GCC countries
    - Rest of Middle East
COMPETITIVE LANDSCAPE
204
  • 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
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company footprint
    - Region footprint
    - Offering footprint
    - Application footprint
    - Agriculture type footprint
  • 12.8 COMPETITIVE EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed list of startups/SMEs
    - Competitive benchmarking for startups/SMEs
  • 12.9 COMPETITIVE SITUATION AND TRENDS
    PRODUCT LAUNCHES, PRODUCT DEVELOPMENTS, AND BRAND LAUNCHES
    DEALS
    EXPANSIONS
    OTHERS
COMPANY PROFILES
230
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    DEERE & COMPANY
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    TRIMBLE INC.
    - Business overview
    - Products offered
    - Recent developments
    - Deals
    - MnM view
    AGCO CORPORATION
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    TOPCON
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    DELAVAL
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    AKVA GROUP
    - Business overview
    - Products offered
    - Recent developments
    ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH)
    - Business overview
    - Products offered
    - Recent developments
    INNOVASEA SYSTEMS INC.
    - Business overview
    - Products offered
    - Recent developments
    AFIMILK LTD.
    - Business overview
    - Products offered
    - Recent developments
    HELIOSPECTRA
    - Business overview
    - Products offered
    - Recent developments
  • 13.3 OTHER PLAYERS
    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.
APPENDIX
287
  • 14.1 INSIGHTS OF INDUSTRY EXPERTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.4 CUSTOMIZATION OPTIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 MARKET GROWTH ASSUMPTIONS
  • TABLE 2 RISK ASSESSMENT: SMART AGRICULTURE MARKET
  • TABLE 3 SMART AGRICULTURE MARKET: ROLES OF COMPANIES IN ECOSYSTEM
  • TABLE 4 AVERAGE SELLING PRICE TREND OF SMART AGRICULTURE SYSTEMS, BY KEY PLAYERS, 2020–2023 (USD)
  • TABLE 5 AVERAGE SELLING PRICE TREND OF SMART AGRICULTURE SYSTEMS, BY REGION, 2020−2023 (USD THOUSAND)
  • TABLE 6 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP TWO APPLICATIONS
  • TABLE 7 KEY BUYING CRITERIA FOR TOP TWO APPLICATIONS
  • TABLE 8 SMART AGRICULTURE MARKET: PORTER'S FIVE FORCES ANALYSIS
  • TABLE 9 IMPORT DATA FOR HS CODE 8432-COMPLIANT PRODUCTS, BY COUNTRY, 2019−2023 (USD MILLION)
  • TABLE 10 EXPORT DATA FOR HS CODE 8432-COMPLIANT PRODUCTS, BY COUNTRY 2019−2023 (USD MILLION)
  • TABLE 11 NUMBER OF PATENTS FILED BETWEEN 2013 AND 2023
  • TABLE 12 LIST OF PATENTS RELATED OT SMART AGRICULTURE MARKET, 2021–2024
  • TABLE 13 AMERICAS: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 SMART AGRICULTURE MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024−2025
  • TABLE 17 SMART AGRICULTURE MARKET, BY FARM SIZE, 2020–2023 (USD MILLION)
  • TABLE 18 SMART AGRICULTURE MARKET, BY FARM SIZE, 2024–2029 (USD MILLION)
  • TABLE 19 PRECISION FARMING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2020–2023 (USD MILLION)
  • TABLE 20 PRECISION FARMING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2024–2029 (USD MILLION)
  • TABLE 21 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY FARM SIZE, 2020–2023 (USD MILLION)
  • TABLE 22 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY FARM SIZE, 2024–2029 (USD MILLION)
  • TABLE 23 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2020–2023 (USD MILLION)
  • TABLE 24 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM SIZE, 2024–2029 (USD MILLION)
  • TABLE 25 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 26 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 27 PRECISION FARMING: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 28 PRECISION FARMING: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 29 PRECISION FARMING: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 30 PRECISION FARMING: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 31 PRECISION FARMING: AUTOMATION AND CONTROL SYSTEMS IN SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 32 PRECISION FARMING: AUTOMATION AND CONTROL SYSTEMS IN SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 33 PRECISION FARMING: DRONES/UAVS IN SMART AGRICULTURE MARKET, 2020–2023 (THOUSAND UNITS)
  • TABLE 34 PRECISION FARMING: DRONES/UAVS IN SMART AGRICULTURE MARKET, 2024–2029 (THOUSAND UNITS)
  • TABLE 35 PRECISION FARMING: SENSING AND MONITORING DEVICES IN SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 36 PRECISION FARMING: SENSING AND MONITORING DEVICES IN SMART AGRICULTURE MARKET, BY DEVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 37 PRECISION FARMING: SENSING AND MONITORING DEVICES IN SMART AGRICULTURE MARKET, BY SENSOR TYPE, 2020–2023 (USD MILLION)
  • TABLE 38 PRECISION FARMING: SENSING AND MONITORING DEVICES IN SMART AGRICULTURE MARKET, BY SENSOR TYPE, 2024–2029 (USD MILLION)
  • TABLE 39 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 40 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 41 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 42 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 43 PRECISION FARMING: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 44 PRECISION FARMING: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 45 PRECISION FARMING: GUIDANCE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 46 PRECISION FARMING: GUIDANCE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 47 PRECISION FARMING: REMOTE SENSING IN SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 48 PRECISION FARMING: REMOTE SENSING IN SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 49 PRECISION FARMING: VARIABLE RATE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 50 PRECISION FARMING: VARIABLE RATE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 51 PRECISION FARMING: GUIDANCE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 52 PRECISION FARMING: GUIDANCE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 53 PRECISION FARMING: REMOTE SENSING IN SMART AGRICULTURE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 54 PRECISION FARMING: REMOTE SENSING IN SMART AGRICULTURE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 55 PRECISION FARMING: VARIABLE RATE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY TYPE, 2020–2023 (USD MILLION)
  • TABLE 56 PRECISION FARMING: VARIABLE RATE TECHNOLOGY IN SMART AGRICULTURE MARKET, BY TYPE, 2024–2029 (USD MILLION)
  • TABLE 57 PRECISION FARMING: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 58 PRECISION FARMING: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 59 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 60 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 61 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 62 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 63 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 64 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 65 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 66 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 67 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 68 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 69 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM TYPE, 2020–2023 (USD MILLION)
  • TABLE 70 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY FARM TYPE, 2024–2029 (USD MILLION)
  • TABLE 71 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 72 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 73 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 74 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 75 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 76 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 77 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 78 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 79 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 80 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 81 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 82 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 83 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 84 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 85 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 86 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 87 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 88 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 89 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 90 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 91 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 92 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 93 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2020–2023 (USD MILLION)
  • TABLE 94 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY HARDWARE TYPE, 2024–2029 (USD MILLION)
  • TABLE 95 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 96 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 97 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 98 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SERVICE TYPE 2024–2029 (USD MILLION)
  • TABLE 99 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 100 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 101 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2020–2023 (USD MILLION)
  • TABLE 102 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2024–2029 (USD MILLION)
  • TABLE 103 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 104 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 105 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 106 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SOFTWARE DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 107 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2020–2023 (USD MILLION)
  • TABLE 108 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 109 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 110 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 111 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2020–2023 (USD MILLION)
  • TABLE 112 OTHER AGRICULTURE TYPES: SMART AGRICULTURE MARKET, BY SUB-TYPE, 2024–2029 (USD MILLION)
  • TABLE 113 SMART AGRICULTURE MARKET, BY OFFERING, 2020–2023 (USD MILLION)
  • TABLE 114 SMART AGRICULTURE MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 115 HARDWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 116 HARDWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 117 SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 118 SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 119 SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2020–2023 (USD MILLION)
  • TABLE 120 SOFTWARE: SMART AGRICULTURE MARKET, BY DEPLOYMENT TYPE, 2024–2029 (USD MILLION)
  • TABLE 121 ON-PREMISE SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 122 ON-PREMISE SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 123 ON-CLOUD SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 124 ON-CLOUD SOFTWARE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 125 SERVICES: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 126 SERVICES: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 127 SMART AGRICULTURE MARKET, BY APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 128 SMART AGRICULTURE MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 129 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 130 PRECISION FARMING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 131 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 132 LIVESTOCK MONITORING: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 133 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 134 PRECISION AQUACULTURE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 135 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 136 PRECISION FORESTRY: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 137 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2020–2023 (USD MILLION)
  • TABLE 138 SMART GREENHOUSE: SMART AGRICULTURE MARKET, BY SUB-APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 139 SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 140 SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 141 AMERICAS: SMART AGRICULTURE MARKET, BY REGION, 2020–2023 (USD MILLION)
  • TABLE 142 AMERICAS: SMART AGRICULTURE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 143 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 144 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 145 AMERICAS: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 146 AMERICAS: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 147 NORTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 148 NORTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 149 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 150 SOUTH AMERICA: SMART AGRICULTURE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 151 EUROPE: SMART AGRICULTURE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 152 EUROPE: SMART AGRICULTURE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 153 EUROPE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 154 EUROPE: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 155 EUROPE: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 156 EUROPE: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 158 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 163 ROW: SMART AGRICULTURE MARKET, BY REGION/COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 164 ROW: SMART AGRICULTURE MARKET, BY REGION/COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 165 ROW: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2020–2023 (USD MILLION)
  • TABLE 166 ROW: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2024–2029 (USD MILLION)
  • TABLE 167 ROW: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
  • TABLE 168 ROW: PRECISION FARMING IN SMART AGRICULTURE MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 169 MIDDLE EAST: SMART AGRICULTURE MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
  • TABLE 170 MIDDLE EAST: SMART AGRICULTURE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 171 SMART AGRICULTURE MARKET: OVERVIEW OF STRATEGIES ADOPTED BY KEY MARKET PLAYERS, 2020−2024
  • TABLE 172 SMART AGRICULTURE MARKET: DEGREE OF COMPETITION, 2023
  • TABLE 173 SMART AGRICULTURE MARKET: REGION FOOTPRINT
  • TABLE 174 SMART AGRICULTURE MARKET: OFFERING FOOTPRINT
  • TABLE 175 SMART AGRICULTURE MARKET: APPLICATION FOOTPRINT
  • TABLE 176 SMART AGRICULTURE MARKET: AGRICULTURE TYPE FOOTPRINT
  • TABLE 177 SMART AGRICULTURE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 178 SMART AGRICULTURE MARKET: COMPETITIVE BENCHMARKING FOR STARTUPS/SMES
  • TABLE 179 SMART AGRICULTURE MARKET: PRODUCT LAUNCHES, DECEMBER 2020–OCTOBER 2024
  • TABLE 180 SMART AGRICULTURE MARKET: DEALS, DECEMBER 2020–OCTOBER 2024
  • TABLE 181 SMART AGRICULTURE MARKET: EXPANSIONS, DECEMBER 2020–OCTOBER 2024
  • TABLE 182 SMART AGRICULTURE MARKET: OTHERS, DECEMBER 2020–OCTOBER 2024
  • TABLE 183 DEERE & COMPANY: COMPANY OVERVIEW
  • TABLE 184 DEERE & COMPANY: PRODUCTS OFFERED
  • TABLE 185 DEERE & COMPANY: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 186 DEERE & COMPANY: DEALS
  • TABLE 187 DEERE & COMPANY: EXPANSIONS
  • TABLE 188 TRIMBLE INC.: COMPANY OVERVIEW
  • TABLE 189 TRIMBLE INC.: PRODUCTS OFFERED
  • TABLE 190 TRIMBLE INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 191 TRIMBLE INC.: DEALS
  • TABLE 192 AGCO CORPORATION: COMPANY OVERVIEW
  • TABLE 193 AGCO CORPORATION: PRODUCTS OFFERED
  • TABLE 194 AGCO CORPORATION: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 195 AGCO CORPORATION: DEALS
  • TABLE 196 TOPCON: COMPANY OVERVIEW
  • TABLE 197 TOPCON: PRODUCTS OFFERED
  • TABLE 198 TOPCON: DEALS
  • TABLE 199 DELAVAL: COMPANY OVERVIEW
  • TABLE 200 DELAVAL: PRODUCTS OFFERED
  • TABLE 201 DELAVAL: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 202 DELAVAL: DEALS
  • TABLE 203 AKVA GROUP: COMPANY OVERVIEW
  • TABLE 204 AKVA GROUP: PRODUCTS OFFERED
  • TABLE 205 AKVA GROUP: DEALS
  • TABLE 206 AKVA GROUP: EXPANSIONS
  • TABLE 207 AKVA GROUP: OTHERS
  • TABLE 208 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH): COMPANY OVERVIEW
  • TABLE 209 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH): PRODUCTS OFFERED
  • TABLE 210 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH): PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 211 ALLFLEX LIVESTOCK INTELLIGENCE (MSD ANIMAL HEALTH): DEALS
  • TABLE 212 INNOVASEA SYSTEMS INC.: COMPANY OVERVIEW
  • TABLE 213 INNOVASEA SYSTEMS INC.: PRODUCTS OFFERED
  • TABLE 214 INNOVASEA SYSTEMS INC.: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 215 INNOVASEA SYSTEMS INC.: DEALS
  • TABLE 216 AFIMILK LTD.: COMPANY OVERVIEW
  • TABLE 217 AFIMILK LTD.: PRODUCTS OFFERED
  • TABLE 218 AFIMILK LTD.: DEALS
  • TABLE 219 HELIOSPECTRA: COMPANY OVERVIEW
  • TABLE 220 HELIOSPECTRA: PRODUCTS OFFERED
  • TABLE 221 HELIOSPECTRA: PRODUCT LAUNCHES/DEVELOPMENTS
  • TABLE 222 HELIOSPECTRA: DEALS
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

 

The study involved major activities in estimating the current market size for the smart agriculture market. Exhaustive secondary research was done to collect information on the smart agriculture industry. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the smart agriculture market.

Secondary Research

The market for the companies offering smart agriculture solutions and services is arrived at by secondary data available through paid and unpaid sources, analysing the offering portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases. In the secondary research process, various secondary sources have been referred to for identifying and collecting information required for this study. The secondary sources include annual reports, press releases, and investor presentations of companies, white papers, and articles from recognized authors. Secondary research has been mainly done to obtain key information about the market’s value chain, the pool of key market players, market segmentation according to industry trends, regional outlook and developments from both market and technology perspectives

Primary Research

In primary research, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative insights required for this report. Primary sources from supply side include experts such as CEOs, vice presidents, marketing directors, manufacturers, technology and innovation directors, end users and related executives from multiple key companies and organizations operating in the smart agriculture market ecosystem.

After market engineering that includes calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation, extensive primary research has been conducted to verify and validate critical market numbers.

Primary research has also been conducted to identify segmentation types, industry trends, key players, and analyze the competitive landscape and key factors affecting the market dynamics, such as drivers, restraints, opportunities, industry trends, and key growth strategies. In the market engineering process, both the top-down and bottom-up approaches have been extensively used along with data triangulation methods to estimate and forecast the size of the smart agriculture market, including the overall market segments and subsegments as listed in the report. Extensive qualitative and quantitative analysis has been done on the complete market engineering process to include important information and insights throughout the report.

 

Smart Agriculture Market Size, and Share

Note: “Others” includes sales, marketing, and product managers

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches have been used to estimate and validate the size of the smart agriculture market. The key players in the market have been identified through secondary research, and their market shares in respective regions have been determined through primary and secondary research. This entire research methodology includes the study of key insights by top players, as well as interviews with experts (such as CXOs, vice presidents, directors, and marketing executives) for quantitative and qualitative key insights. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All parameters that affect markets covered in this research study were accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been competitive and supplemented with detailed inputs and analysis from the MarketsandMarkets data repository and presented in this report.

Smart Agriculture Market : Top-Down and Bottom-Up Approach

Smart Agriculture Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size by the market size estimation process explained in the earlier section, the overall smart agriculture market has been divided into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments, the data triangulation and market breakdown procedures have been used, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply side perspectives. Along with data triangulation and market breakdown, the market has been validated by top-down and bottom-up approaches.

Market Definition

Smart agriculture leverages advanced technologies such as the Internet of Things (IOT), sensors, location tracking systems, robotics, and artificial intelligence (Al) to enable agricultural processes and reduce the manual labour and other resources. This approach aims on improving both the quality and quantity of crop yields while minimizing operational expenses. Moreover, data gathered from these advanced devices delivers valuable insights, that supports farmers to make informed and efficient decisions towards farm management.

Key Stakeholders

  • Agriculture Equipment Component Suppliers
  • Electronics Component and Device Manufacturers
  • Original Equipment Manufacturers (OEMs)
  • Product Manufacturers
  • Agriculture Component and Device Suppliers and Distributors
  • Software, Service, and Technology Providers
  • Standardization and Testing Firms
  • Government Bodies such as Regulatory Authorities and Policymakers
  • Research Institutes and Organizations
  • Market Research and Consulting Firms
  • Agri-food Buyers

Report Objectives

  • To define, analyze and forecast the smart agriculture market size, by agriculture type, offering, farm size, and application in terms of value
  • To define, analyze and forecast the smart agriculture market size, by application, in terms of volume
  • To forecast the market size for various segments with respect to four main regions, namely, Americas, Europe, Asia Pacific, and Rest of the World (RoW)
  • To provide detailed information regarding the major drivers, restraints, opportunities, and challenges influencing the growth of the smart agriculture market
  • To study the complete value chain and related industry segments for the smart agriculture market
  • To strategically analyze the micromarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze the value chain, market ecosystem; trends/disruptions impacting customer’s business; technology analysis; pricing analysis; Porter’s five forces model; key stakeholders & buying criteria; investment and funding; impact of Gen AI/AI; case study analysis; trade analysis; patent analysis; key conferences & events, 2024–2025; regulations related to the smart agriculture market; and investment and funding scenario.
  • To analyze opportunities in the market for various stakeholders by identifying the high-growth segments of the market.
  • To strategically profile the key players and comprehensively analyze their market position in terms of ranking, core competencies, company valuation and financial metrics and product/brand comparison; along with detailing the competitive landscape for the market leaders.
  • To analyze competitive developments such as product launches, brand launches, product developments, collaborations, joint ventures, partnerships, agreements, contracts, acquisitions, expansions and research and development (R&D) activities carried out by players in the smart agriculture market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

  • Detailed analysis and profiling of additional market players (up to 5)
  • Detailed analysis of additional countries (up to 5)
  • Detailed analysis of smart agriculture solutions and services

Previous Versions of this Report

Smart Agriculture Market by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region ( America, Europe, Asia Pacific, Row) - Global Forecast to 2028

Report Code SE 4043
Published in Mar, 2023, By MarketsandMarkets™

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

Report Code SE 4043
Published in Oct, 2021, By MarketsandMarkets™

Smart Agriculture Market by Agriculture Type (Precision Farming, Livestock, Aquaculture, Greenhouse), Hardware (GPS, Drones, Sensors, RFID, LED Grow Lights), Software, Services, Application, Farm Size, and Geography - Global Forecast to 2025

Report Code SE 4043
Published in Apr, 2020, By MarketsandMarkets™

Smart Agriculture Market by Agriculture Type (Precision Farming, Livestock Monitoring, Fish Farming, Smart Greenhouse), Hardware (GPS, Drones, Sensors, RFID, LED Grow Lights), Software, Services, Application, and Geography - Global Forecast to 2023

Report Code SE 4043
Published in Aug, 2018, By MarketsandMarkets™

Smart Agriculture Market by Agriculture Type (Precision Farming, Livestock Monitoring, Fish Farming, Smart Greenhouse), Hardware (GPS, Drones, Sensors, RFID, LED Grow Lights), Software, Services, Application, and Geography - Global Forecast to 2022

Report Code SE 4043
Published in Mar, 2017, By MarketsandMarkets™

Smart Agriculture Market by Hardware and Network Platform (GPS/GNSS Devices, Sensor Monitoring Systems, and Gateway/Router), Service (Connectivity, System Integrator, Supply Chain Management), Software, Application, and Geography - Global Forecast to 2022

Report Code SE 4043
Published in Jan, 2016, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Smart Agriculture Market

User

Sep, 2019

Dairy farm automation and livestock monitoring management have picked up its growth in recent years. Application such as early detection of diseases and feeding management is of focus area for ranchers and farm owners. Have you covered these applications for livestock industry in your reserach survey?.

User

Sep, 2019

"Adoption of technologies such as GPS, IoT, remote sensing and AI has witnessed substantial adoption in recent years. I am looking for application areas like Yield monitoring, crop scouting, harvesting management, and crop health analytics.".

User

Sep, 2019

I would like to procure data with breakdown for Asian countries for the smart agricultural report..

User

Nov, 2019

I'm working now on the smart farming in the hay and straw market, if you have something in this topic ill might be interested  .

User

Mar, 2019

Have you include aquaculturetechnology in your scope or it is just limited to precision agriculture industry ?.

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