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
[235 Pages Report] The smart agriculture market is estimated to be worth USD 13.7 billion in 2020 and is projected to reach USD 22.0 billion by 2025; it is expected to grow at a CAGR of 9.8% from 2020 to 2025. The rising pressure on food supply system owing to rapidly growing population, surging use of modern technologies in agricultural products and growing focus of farmers on livestock monitoring and disease detection to fuel the growth of smart irrigation systems. Moreover, the rising investments in the agriculture technology sector have propelled the growth the growth for smart agriculture market.
Attractive Opportunities in Smart Agriculture Market
COVID-19 Impact on the Global Smart Agriculture Market
Smart agriculture market is expected to witness a marginal dip in 2020 due to the COVID-19 pandemic as the movement restriction and lockdowns has resulted in the disruptions in the supply chain, However the use of remote monitoring technology and farm management software tools could lead to higher adoption during post COVID-19 period. COVID-19 has disrupted the supply chain of different vertical of smart agriculture market, which included precision farming, livestock monitoring, aquaculture , greenhouse, and forestry. The companies are exploring new opportunities to interact with growers and farmers by leveraging advanced technologies.
The outbreak of the COVID-19 pandemic that originated in China, has become a serious health crisis worldwide. Demand for agriculture equipment and related technologies is likely to be reduced in the short term. Some recovery is expected by the first quarter of 2021, and the market might start picking momentum by the end of 2021 Major agricultural OEMs such as John Deere, and AGCO have reduced their sales guidance for the first half of FY 2020 by 10 to 20%, mainly due to disruptions in the supply chain.
The effect of COVID-19 on the livestock sector is more noticeable as the access to the animal feed has reduced and diminished capacity of the slaughterhouses due to the logistical constraints and labor shortages. The shutdown of businesses and quarantine measures is expected to have a negative impact on providers of livestock monitoring products. For instance, RFID tags, milking robots, and feeding systems may witness reduced demand due to the temporary shutdown of business activities in the US and western European countries. However, in medium to long term the demand for livestock monitoring products is expected to witness robust growth.
The precision aquaculture sector is facing a disruption in the supply chain of fresh fish due to the outbreak of Novel Coronavirus. As per the Alliance of Independent Press Councils of Europe, the precision aquaculture industry has been dealing with a combination of issues that had led to closures of production sites in the EU and loss of many small businesses, with severe consequences on the employment in coastal areas. Recirculating Aquaculture System (RAS)-based aquaculture projects will have a more significant impact due to reduced demand for aquaculture products.
The smart greenhouse market too has been affected bu the COVID-19 pandemic. The consumer demand is not yet clear for the time being, but it is expected that the demand for commodities will face a decline in the short term as bulk demand from restaurants or hotels has stopped due to closures and lockdowns. With a shortage of raw materials, companies are unable to deliver end products on the promised dates.
The precision forestry is expected to see a reduction in demand for CTL-based harvesting equipment in 2020. The reason for the decline in the growth for forestry equipment is the temporary shutdown of manufacturing facilities in the Americas and Europe. Further, this segment does not exactly produce essential products; hence, the recovery in the precision forestry segment will be comparatively longer.
Smart Agriculture Market Dynamics
Driver: Surging use of modern technologies in agricultural products
Smart agriculture could ensure high returns for agribusiness if used to its complete potential; it can help farmers battle the negative effects of nature on crops by collecting geospatial data of soil, livestock, and plant, and other inter- and intra-field information. Precision farming also provides inputs about required quantities of irrigation water, liquid fertilizers, nutrients, herbicides, and pesticides, thereby reducing wastage of resources, and thus the cost of farming goes down. Increased business efficiency through process automation, improved output with the reduced cost of farming are two important factors that drive the deployment of smart agricultural tools. With precision farming techniques, agribusiness is likely to be more profitable than ever. In line with this, business-oriented agriculturists have started adopting various precision farming/smart agriculture tools to increase crop yield and profit margins
Restraint: High upfront cost for deployment of modern agricultural equipment
A major factor restraining the growth of the smart agriculture market is the requirement for high initial investments. Currently, smart agricultural tools are expensive, thereby making it unaffordable for smaller farmers in developed regions and most farmers in emerging economies. Thus, the latest technology can be accessed only by big and industrialized farms owing to the high cost of technology. Apart from high initial monetary investment to deploy GPS, drones, and GIS, VRT, and satellite devices, precision farming also requires a skilled workforce to handle these technology-enabled devices, which poses a challenge for the adoption of these technologies among small-scale farmers.
Opportunity:Rising adoption of livestock monitoring solutions in developing countries
The adoption of livestock monitoring technology, currently, in developing countries is slow, primarily due to the high installation cost and low awareness among farmers. However, with the growing demand for milk and dairy products, increasing per capita income of farmers in developing countries, increasing herd size, livestock farming and agricultural sectors in developing countries are expected to witness increased demand for livestock monitoring technologies, such as milking robots and feeding robots, in the coming years. Considering this, emerging markets such as India, China, Turkey are expected to offer significant opportunities to key players providing livestock monitoring solutions.
Challenge: Management of large volumes of data for productive decision making
Management of data is a major challenge faced by users of smart agricultural tools. The data obtained from farms using smart agricultural tools is highly important as this data helps farmers making productive decisions. In precision farming, large volumes of crucial data pertaining to mapping, variable rate seeding, soil testing, yield monitoring, and historical crop rotation is produced regularly. This data must be stored and managed properly as successful smart farming techniques rely entirely on it for assessing farm conditions. Data management is the key to making smart farm management decisions and improving farm operations. There is no industry standard for managing the agricultural data; this makes the task difficult for growers. Hence, it is essential to provide farmers and growers with proper data management tools and techniques to acquire, manage, process, and use data effectively.
Hardware offering expected to continue to hold the largest market share during forecast period
The hardware segment is expected to hold the largest share of the smart agriculture market in 2020. The growing adoption of new technologies and modern smart agricultural devices is expected to drive the growth of the smart agriculture market for hardware offerings during the forecast period. Increasing adoption of automation and control systems, such as GPS/GNSS receivers, irrigation controllers, and guidance and steering systems, has created a new approach to farming practices, which is boosting the market growth. Further, surging deployment of IoT- and AI-driven livestock monitoring devices by dairy farmers is some of the major factors accelerating the growth of the hardware devices in livestock monitoring segment
Precision farming segment expected to hold major market share from 2020 to 2025
Precision farming accounted for the largest share of ~46% of the smart agriculture market, by agriculture type, in 2019 owing to the increasing focus on farm efficiency and productivity. The implementation of precision farming tools has the potential to change the concept of agriculture for good, making traditional agricultural activities more efficient and predictable. Precision farming technologies, such as guidance technology, remote sensing, smart sensors, drones, and variable rate technology (VRT), have made it possible to manage the soil and crop effectively. These technologies are used in conjunction with on-field equipment and devices for guidance and navigation applications.
Yield monitoring application (precision farming), and feeding management (livestock monitoring) expected to hold significant market share from 2020 to 2025
Precision farming tools are widely used in yield monitoring applications; hence, this application held the largest market share in 2019. Among farmers, precision farming tools are gaining tremendous popularity for yield monitoring applications due to the increasing need for optimum crop production with the availability of a limited number of resources. The feeding management application is expected to continue to account for the largest size of the livestock monitoring market during the forecast period owing to the increasing demand for automated feeding systems and dry feeding systems.
Market Players
The smart agriculture market is dominated by a few globally established players such as Deere & Company (US), Trimble (US), Topcon Positioning Systems (US), DeLaval (Sweden), Antelliq (France), Afimilk (Israel), Raven Industries (US), AgJunction (US).
Scope of the report
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Report Metric |
Scope |
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Market size available for years |
2017–2025 |
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Base year considered |
2019 |
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Forecast period |
2020–2025 |
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Forecast units |
Value (USD Billion) and Volume (Million Units) |
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Segments covered |
By Offering, By Agriculture Type, By Application, By Farm Size |
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Geographies covered |
Asia Pacific, Europe, Americas (North America, South America), and Rest of World |
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Companies covered |
The major market players include Deere & Company (US), Trimble, Inc. (Trimble) (US), Topcon Positioning Systems (US), DeLaval (Sweden), Antelliq (France), Afimilk Ltd. (Israel), AG Leader Technology (US), Raven Industries (US), AgJunction (US), The Climate Corporation (US). |
The study categorizes the smart agriculture market based on component, system type, application at the regional and global level.
By Offering
- Hardware
- Software
- Services
By Agriculture Type
- Precision Farming
- Precision Forestry
- Livestock Monitoring
- Smart Greenhouse
- Smart Feeding Systems
- Monitoring and Control Systems
- Underwater Remotely Operated Vehicles
- Others
- Precision Aquaculture
- Others
By Application
- Precision Farming Application
- Yield Monitoring
- Field Mapping
- Drainage Mapping
- Crop Scouting
- Weather Tracking & Forecasting
- Variable Rate Technology
- Inventory Management
- Farm Labor Management
- Financial Management
- Others
- Precision Forestry Application
- Genetics and nurseries
- Silviculture and fire management
- Harvesting management
- Inventory & logistics management
- Livestock Monitoring Application
- Milk harvesting management
- Breeding management
- Feeding management
- Heat stress management
- Animal comfort management
- Behavior monitoring and control
- Others
- Precision Aquaculture Application
- Feeding management
- Monitoring, control and surveillance
- Others
- Smart Greenhouse Application
- HVAC management
- Yield monitoring and harvesting
- Water & fertilizer management
- Others
- Others
BY Farm Size
- Small Farm
- Medium Farm
- Large Farm
By Region
- Americas
- North America
- South America
- Europe
- Asia Pacific
- Rest of World
Recent Developments
- Deere & Company announced updates to its 19-1 software to enhance the automation, documentation, functionality, and security of Generation 4 4600 CommandCenter and 4640 Universal Displays. This latest software has a higher level of automation activation, which has enabled the company’s Machine Sync harvest automation functionality on the Gen 4 platform for tractors.
- Trimble launched a new entry-level Trimble Ag Software subscription called Farmer Core, which enables farmers to connect all aspects of their farm operations.
- Topcon Agriculture launched the Topcon Agriculture Platform, a cloud-based farm workflow improvement tool, which integrates connectivity, cloud services, and data analytics for farmers.
- DeLaval collaborated with the Swedish University of Agricultural Sciences (SLU) to install DeLaval VMS V300 at Lövsta research and education center (Sweden). The company also gave access to the latest robotic technology and digital milk sampling equipment to SLU.
- Antelliq opened its new Allflex Livestock Intelligence office in South Africa. The increased demand for its products and services, which helps farmers collate and interpret animal health data, has resulted in its continued expansion.
Frequently Asked Questions (FAQ):
What is the current size of the global smart agriculture market?
The smart agriculture market was valued at USD 13.2 billion in 2019 and is projected to reach USD 22.0 billion by 2025; it is expected to grow at a CAGR of 9.8% from 2020 to 2025. The rising pressure on food supply system owing to rapidly growing population, surging use of modern technologies in agricultural products and growing focus of farmers on livestock monitoring and disease detection to fuel the growth of smart irrigation systems. Moreover, the rising investments in the agriculture technology sector have propelled the growth the growth for smart agriculture market.
Who are the winners in the global smart agriculture market?
Companies such as Deere & Company (US), Trimble (US), Topcon Positioning Systems (US), DeLaval (Sweden), Antelliq (France), Afimilk (Israel), AG Leader Technology (US), Raven Industries (US), AgJunction (US), The Climate Corporation (US) fall under the winners category. These companies cater to the requirements of their customers by providing smart agriculture equipment and solutions with a presence in majority of countries.
What is the COVID-19 impact on smart agriculture market?
The smart agriculture industry is expected to witness a downturn in 2020 due to the COVID-19 pandemic as the movement restriction and lockdowns has resulted in the disruptions in the supply chain and led to a shortage of equipment, anf the demand for agriculture equipment and related technologies is likely to be reduced in the short term. The effect of COVID-19 on the livestock sector is more noticeable as the access to the animal feed has reduced and diminished capacity of the slaughterhouses due to the logistical constraints and labor shortages. The precision aquaculture sector is facing a disruption in the supply chain of fresh fish due to the outbreak of Novel Coronavirus. The precision forestry is expected to see a reduction in demand for CTL-based harvesting equipment in 2020.
Which applications are expected to drive the growth of smart agriculture market in the next 5 years ?
The demand for the hardware, software and services in the smart agriculture market has witnessed a significant growth in the recent years. Moreover the heavy investment in the field of ag-technology by major players in the market has driven the market on the growth path in the recent years and could do the same in the next five. The OCVID-19 pandemic could temporarily affect the smart agriculture market but the it has a promising potential in the long term. The increasing pressure on food supply system to feed the growing population, surging use of modern technologies in agricultural products, growing focus of farmers on livestock monitoring and disease detection is expected to fuel the growth of smart agriculture market in the years to come. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 24)
1.1 STUDY OBJECTIVES
1.2 DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 SMART AGRICULTURE APPLICATION SCOPE
1.3.3 GEOGRAPHIC SCOPE
1.3.4 YEARS CONSIDERED
1.4 CURRENCY
1.5 LIMITATIONS
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY (Page No. - 28)
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of 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 Breakdown of primaries
2.1.2.3 Key data from primary sources
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.3.1 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach for capturing market size by bottom-up analysis (demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach for capturing market size by top-down analysis (supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY (Page No. - 39)
4 PREMIUM INSIGHTS (Page No. - 43)
4.1 ATTRACTIVE OPPORTUNITIES IN SMART AGRICULTURE MARKET
4.2 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE AND COUNTRY
4.3 SMART AGRICULTURE MARKET, BY OFFERING
4.4 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE
4.5 SMART AGRICULTURE MARKET, BY GEOGRAPHY (2020–2025)
5 MARKET OVERVIEW (Page No. - 46)
5.1 DEVELOPMENT OF SMART AGRICULTURE PRACTICES
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Rising pressure on food supply system owing to rapidly growing population
5.2.1.2 Surging use of modern technologies in agriculture farms
5.2.1.3 Rising income levels and demand for protein-rich aqua food
5.2.1.4 Growing focus of farmers on livestock monitoring and disease detection
5.2.1.5 Increasing emphasis on reducing management cost by adopting advanced livestock monitoring products
5.2.1.6 Surging adoption of advanced technologies such as IoT and AI in aquaculture farms
5.2.2 RESTRAINTS
5.2.2.1 High upfront cost for deployment of modern agricultural equipment
5.2.2.2 Overall fragmented agriculture industry
5.2.3 OPPORTUNITIES
5.2.3.1 Rising adoption of livestock monitoring solutions in developing countries
5.2.3.2 Growing use of unmanned aerial vehicles or drones in agricultural farms
5.2.3.3 Increasing popularity of land-based recirculating aquaculture systems
5.2.3.4 Growing focus on integration of smartphones with agricultural hardware and software applications
5.2.4 CHALLENGES
5.2.4.1 Management of large volumes of data for productive decision making
5.2.4.2 Environmental concerns and global warming
5.2.5 WINNING IMPERATIVES
5.2.5.1 Environmental protection with utilization of smart agriculture techniques
6 INDUSTRY TRENDS (Page No. - 56)
6.1 INTRODUCTION
6.2 VALUE CHAIN ANALYSIS
6.2.1 MAJOR STAKEHOLDERS IN SMART AGRICULTURE MARKET
6.3 KEY INDUSTRY TRENDS
6.3.1 INTERNET OF THINGS (IOT) SHAPING SMART AGRICULTURE MARKET
6.3.2 INCREASING USE OF M2M SOLUTIONS IN AGRICULTURE
6.4 IMPACT OF COVID-19 ON SMART AGRICULTURE MARKET
6.4.1 PRECISION FARMING
6.4.2 LIVESTOCK MONITORING
6.4.3 PRECISION AQUACULTURE
6.4.4 SMART GREENHOUSE
6.4.5 PRECISION FORESTRY
7 SMART AGRICULTURE MARKET, BY OFFERING (Page No. - 61)
7.1 INTRODUCTION
7.2 HARDWARE
7.2.1 PRECISION FARMING HARDWARE
7.2.1.1 Automation and control systems
7.2.1.1.1 Displays
7.2.1.1.1.1 Utilization of display devices in precision farming systems to drive displays market
7.2.1.1.2 Guidance and steering systems
7.2.1.1.2.1 Adoption of automated guidance and steering systems in tractors and agriculture robots
7.2.1.1.3 GPS/GNSS devices
7.2.1.1.3.1 High demand for GPS/GNSS devices for variable rate applications
7.2.1.1.4 Drones/UAVs
7.2.1.1.4.1 Implementation of drones for identification of pests and weeds to propel market growth
7.2.1.1.5 Irrigation controllers
7.2.1.1.5.1 Concerns for efficient use of water to propel irrigation controllers market
7.2.1.1.6 Handheld mobile devices/handheld computers
7.2.1.1.6.1 Operational flexibility and ease of operation are measure factors for growing use of handheld mobile devices and computers
7.2.1.1.7 Flow and application control devices
7.2.1.1.7.1 Flow and application control devices to facilitate growth of precision farming market for variable rate applications
7.2.1.1.8 Others
7.2.1.2 Sensing and monitoring devices
7.2.1.2.1 Yield monitors
7.2.1.2.1.1 Yield monitors to continue to hold largest market share from 2020 to 2025
7.2.1.2.2 Soil sensors
7.2.1.2.2.1 Soil moisture sensors
7.2.1.2.2.1.1 Soil moisture sensors expected to witness higher adoption for efficient management of irrigation
7.2.1.2.2.2 Soil temperature sensors
7.2.1.2.2.2.1 Increasing adoption of soil temperature sensors for checking suitability of soil for planting
7.2.1.2.2.2.2 Soil nutrient sensors
7.2.1.2.2.2.2.1 Soil nutrient sensors to witness attarctive growth during forecast period
7.2.1.2.3 Water sensors
7.2.1.2.3.1 Need to focus on effective control on irrigation to drive use of water sensors
7.2.1.2.4 Climate sensors
7.2.1.2.4.1 Uncertainties related to weather and climate to propel demand for climate sensors
7.2.1.2.5 Others
7.2.2 PRECISION FORESTRY HARDWARE
7.2.2.1 Harvesters and forwarders
7.2.2.1.1 Harvesters and forwarders held largest market share in 2019
7.2.2.2 UAVs/drones
7.2.2.2.1 UAVs/drones to witness highest CAGR during forecast period
7.2.2.3 GPS
7.2.2.3.1 Site-specific forestry management expected to propel demand for GPS
7.2.2.4 Cameras
7.2.2.4.1 Demand for video cameras with hyperspectral, multispectral, and infra-red sensors expected to increase substantially during forecast period
7.2.2.5 RFID tags and sensors
7.2.2.5.1 Market for RFID tags and sensors to grow at significant rate from 2020 to 2025
7.2.2.6 Variable rate controllers
7.2.2.6.1 Increasing adoption of site-specific vegetation management expected to fuel demand for variable rate controllers
7.2.2.7 Others
7.2.3 LIVESTOCK MONITORING HARDWARE
7.2.3.1 RFID tags and readers
7.2.3.1.1 RFID tags and readers held largest market share in 2019
7.2.3.2 Sensors
7.2.3.2.1 Sensors to be highly adopted for various livestock monitoring applications
7.2.3.3 Transmitters and mounting equipment
7.2.3.3.1 Requirement for sending wireless video and audio signals to accelerate demand for transmitters
7.2.3.4 GPS
7.2.3.4.1 Market for GPS to grow at highest CAGR during forecast period
7.2.3.5 Others
7.2.4 PRECISION AQUACULTURE HARDWARE
7.2.4.1 Monitoring devices
7.2.4.1.1 Temperature and environmental monitoring devices
7.2.4.1.1.1 Increasing demand for wireless sensor networks to monitor aquaculture farms would propel growth of monitoring devices
7.2.4.1.2 pH and dissolved oxygen sensors
7.2.4.1.2.1 Growing need to monitor dissolved oxygen content to boost deployment of pH and dissolved oxygen sensors
7.2.4.1.3 Others
7.2.4.2 Camera systems
7.2.4.2.1 Camera systems to continue to account for second-largest market size in coming years
7.2.4.3 Control systems
7.2.4.3.1 Market for wireless control systems to witness significant growth rate in coming years
7.2.4.4 Others
7.2.5 SMART GREENHOUSE HARDWARE
7.2.5.1 HVAC systems
7.2.5.1.1 HVAC systems provide improved indoor environment in smart greenhouses
7.2.5.2 LED grow lights
7.2.5.2.1 Increased adoption of LED grow lights in smart greenhouses for enhanced operational efficiency and reduced energy consumption
7.2.5.3 Irrigation systems
7.2.5.3.1 Market for irrigation systems to grow at significant rate during forecast period
7.2.5.4 Material handling equipment
7.2.5.4.1 Material handling equipment help in reducing plant handling cost on farm
7.2.5.5 Valves and pumps
7.2.5.5.1 Valves and pumps help in managing efficient flow of water by proper distribution of water in various zones of farms
7.2.5.6 Control systems
7.2.5.6.1 Control systems in smart greenhouses make operations easy
7.2.5.7 Sensors and cameras
7.2.5.7.1 Sensors provide quantitative information to guide cultivators and enable automated decision-making related to crop cultivation
7.2.6 OTHER AGRICULTURE HARDWARE
7.3 SOFTWARE
7.3.1 LOCAL/WEB BASED
7.3.1.1 Web-based delivery model held larger share of precision farming software market in 2019
7.3.2 CLOUD BASED
7.3.2.1 Increasing popularity of software-as-a-service model to access crucial data fuels demand for cloud technology
7.4 SERVICES
7.4.1 SYSTEM INTEGRATION AND CONSULTING SERVICES
7.4.1.1 High demand for integration of software and hardware equipment to propel growth of market for system integration and consulting services
7.4.2 MANAGED SERVICES
7.4.2.1 Farm operation services
7.4.2.2 Data services
7.4.2.3 Analytics services
7.4.3 CONNECTIVITY SERVICES
7.4.3.1 Market for connectivity services expected to grow at highest CAGR during forecast period
7.4.4 ASSISTED PROFESSIONAL SERVICES
7.4.4.1 Supply chain management services
7.4.4.1.1 Increasing focus on food traceability from source to destination by implementing IoT-devices
7.4.4.2 Climate information services
7.4.4.2.1 Market for climate information services to grow at significant rate from 2020 to 2025
7.4.4.3 Others
7.4.5 MAINTENANCE AND SUPPORT SERVICES
7.4.5.1 High deployment of software solutions and precision farming hardware equipment to boost demand for maintenance and support services
8 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE (Page No. - 96)
8.1 INTRODUCTION
8.2 PRECISION FARMING
8.2.1 INCREASING ADOPTION OF TECHNOLOGIES SUCH AS GLOBAL POSITIONING SYSTEM (GPS), GUIDANCE TECHNOLOGY, AND REMOTE SENSING TECHNOLOGY BY FARMERS OR GROWERS
8.3 PRECISION FORESTRY
8.3.1 WIDE RANGE OF EMERGING TECHNOLOGIES SUCH AS DRONES/UNMANNED AERIAL VEHICLES, LIDAR, GPS, AND SENSORS TO COLLECT REAL-TIME FORESTRY DATA
8.4 LIVESTOCK MONITORING
8.4.1 USE OF VARIOUS HARDWARE DEVICES SUCH AS GPS, RFID TAGS AND READERS, AND SENSORS TO PROPEL MARKET GROWTH
8.5 SMART GREENHOUSE
8.5.1 AMERICAS TO PROVIDE SUBSTANTIAL OPPORTUNITIES FOR SMART GREENHOUSE MARKET
8.6 PRECISION AQUACULTURE
8.6.1 SMART FEEDING SYSTEMS
8.6.1.1 Smart feeding systems equipped with in-water vibration sensors and machine learning technology gaining popularity
8.6.2 MONITORING AND CONTROL SYSTEMS
8.6.2.1 Increasing adoption of wireless monitoring and control systems for effective management of aquaculture farms
8.6.3 UNDERWATER REMOTELY OPERATED VEHICLES
8.6.3.1 Underwater remotely operated vehicles are likely to gain strong momentum in coming years
8.6.4 OTHERS
8.7 OTHERS
9 SMART AGRICULTURE MARKET, BY APPLICATION (Page No. - 116)
9.1 INTRODUCTION
9.2 PRECISION FARMING APPLICATIONS
9.2.1 YIELD MONITORING
9.2.1.1 On-farm yield monitoring
9.2.1.1.1 On-farm yield monitoring application held largest share of precision farming market in 2019
9.2.1.2 Off-farm yield monitoring
9.2.1.2.1 Market for off-farm yield monitoring application to grow at higher CAGR during forecast period
9.2.2 FIELD MAPPING
9.2.2.1 Drainage mapping application to record higher CAGR in precision farming market for field mapping from 2020 to 2025
9.2.2.2 Boundary mapping
9.2.2.3 Drainage mapping
9.2.3 CROP SCOUTING
9.2.3.1 Rising need for crop management to propel growth of crop scouting application
9.2.4 WEATHER TRACKING AND FORECASTING
9.2.4.1 Weather tracking and forecasting application to exhibit highest CAGR in precision farming market during forecast period
9.2.5 VARIABLE RATE APPLICATION
9.2.5.1 Precision irrigation
9.2.5.1.1 Precision irrigation to witness steady growth between 2020 to 2025
9.2.5.2 Precision seeding
9.2.5.2.1 Increasing focus on planting seeds at precise depth and spacing for higher yield
9.2.5.3 Precision fertilization
9.2.5.3.1 Precision fertilization result in environmental benefit by avoiding excess implementation of fertilizers in the filed
9.2.5.4 Pesticide VRA
9.2.5.4.1 Pesticide VRA allows to target specific zone of field for eliminating weeds, diseases, and insects from plants.
9.2.6 INVENTORY MANAGEMENT
9.2.6.1 Growing demand for GPS devices for inventory management to propel market growth
9.2.7 FARM LABOR MANAGEMENT
9.2.7.1 Increasing need for effective handling of labor to drive demand for farm labor management software solutions
9.2.8 FINANCIAL MANAGEMENT
9.2.8.1 Financial management helps farmers or growers to make strategic decisions
9.2.9 OTHERS
9.3 PRECISION FORESTRY APPLICATIONS
9.3.1 GENETICS AND NURSERIES
9.3.1.1 UAVs/drones are increasingly being used for tree plantation
9.3.2 SILVICULTURE AND FIRE MANAGEMENT
9.3.2.1 High adoption of wireless sensor network-based forest fire detection systems to propel precision forestry market growth for silviculture and fire management applications
9.3.3 HARVESTING MANAGEMENT
9.3.3.1 Harvesting management applications to hold largest market share during forecast period
9.3.4 INVENTORY AND LOGISTICS MANAGEMENT
9.3.4.1 Inventory and logistics management expected to register highest CAGR in precision forestry market during forecast period
9.4 LIVESTOCK MONITORING APPLICATIONS
9.4.1 MILK HARVESTING MANAGEMENT
9.4.1.1 Rising demand for automated milking solutions on dairy farms to propel growth of market for this application
9.4.2 BREEDING MANAGEMENT
9.4.2.1 High dairy cattle reproduction to drive demand for livestock monitoring solutions
9.4.3 FEEDING MANAGEMENT
9.4.3.1 Increasing awareness in dairy farm owners for correct diet formulation to accelerate market growth for feeding management application
9.4.4 HEAT STRESS MANAGEMENT
9.4.4.1 Heat stress management applications to witness steady growth in livestock monitoring market during forecast period
9.4.5 ANIMAL COMFORT MANAGEMENT
9.4.5.1 Growing interest among dairy farm owners to detect diseases at initial phase leads to increase in demand for animal comfort management software
9.4.6 BEHAVIOR MONITORING AND CONTROL
9.4.6.1 Active awareness regarding animal behavior to boost demand for monitoring solutions
9.4.7 OTHERS
9.5 PRECISION AQUACULTURE APPLICATIONS
9.5.1 FEEDING MANAGEMENT
9.5.1.1 Feeding management to hold largest share due to increasing focus on feed waste management, feed dose, and feed optimization
9.5.2 MONITORING, CONTROL, AND SURVEILLANCE
9.5.2.1 Market for monitoring, control, and surveillance application to grow at higher CAGR during forecast period
9.5.3 OTHERS
9.5.3.1 Rising focus on aquaculture farm yield analysis, fish size estimation, net inspection, and lice counting to propel growth of this segment
9.6 SMART GREENHOUSE APPLICATIONS
9.6.1 HVAC MANAGEMENT
9.6.1.1 HVAC management to account for largest share in 2025
9.6.2 YIELD MONITORING AND HARVESTING
9.6.2.1 Yield monitoring and harvesting application to witness increased automation during forecast period
9.6.3 WATER & FERTILIZER MANAGEMENT
9.6.3.1 Market for water & fertilizer management application to grow at higher CAGR from 2020 to 2025
9.6.4 OTHERS
9.7 OTHERS
10 SMART AGRICULTURE MARKET, BY FARM SIZE (Page No. - 141)
10.1 INTRODUCTION
10.2 SMALL FARMS
10.2.1 SMALL FARMS TO WITNESS HIGHEST GROWTH RATE IN SMART AGRICULTURE MARKET DURING FORECAST PERIOD
10.3 MEDIUM-SIZED FARMS
10.3.1 MEDIUM FARMS ARE CONSTANTLY ADOPTING MONITORING SOLUTIONS
10.4 LARGE FARMS
10.4.1 LARGE FARMS TO GROW SIGNIFICANTLY FROM 2020 TO 2025
11 GEOGRAPHIC ANALYSIS (Page No. - 148)
11.1 INTRODUCTION
11.2 AMERICAS
11.2.1 NORTH AMERICA
11.2.1.1 US
11.2.1.1.1 Prominent presence of key players in US to boost smart agriculture market growth
11.2.1.2 Canada
11.2.1.2.1 Increasing government initiatives and support for automation of greenhouses to fuel growth of greenhouses in Canada
11.2.1.3 Mexico
11.2.1.3.1 Mexico expected to register highest growth rate in North American market during forecast period
11.2.2 SOUTH AMERICA
11.2.2.1 Brazil
11.2.2.1.1 Brazil to continue to hold largest share of smart agriculture market in coming years
11.2.2.2 Argentina
11.2.2.2.1 Argentina would be fastest-growing market in South America for smart agriculture solutions during forecast period
11.2.2.3 Rest of South America
11.3 EUROPE
11.3.1 GERMANY
11.3.1.1 Strong R&D base encouraging implementation of advanced farming tools
11.3.2 UK
11.3.2.1 Higher adoption rate of precision farming technology in UK
11.3.3 FRANCE
11.3.3.1 Large number of livestock farms in country
11.3.4 ITALY
11.3.4.1 Popularity of precision farming techniques by growers in Italy
11.3.5 NETHERLANDS
11.3.5.1 Increasing adoption of advanced technologies in harvesting processes in Netherlands
11.3.6 REST OF EUROPE
11.4 APAC
11.4.1 CHINA
11.4.1.1 Population growth in China to boost adoption of smart agriculture practices
11.4.2 JAPAN
11.4.2.1 Rise in urban farming practices to increase growth of smart agriculture market
11.4.3 AUSTRALIA
11.4.3.1 Australia held largest size of smart agriculture market in 2019
11.4.4 INDIA
11.4.4.1 India to provide attractive growth opportunities in precision farming from 2020 to 2025
11.4.5 SOUTH KOREA
11.4.5.1 Significant presence of smart agriculture device providers and manufacturers to drive market growth
11.4.6 REST OF APAC
11.5 ROW
11.5.1 RUSSIA
11.5.1.1 Russia held largest share of smart agriculture market in RoW in 2019
11.5.2 AFRICA
11.5.2.1 Livestock monitoring market in Africa expected to grow at significant rate
11.5.3 MIDDLE EAST
11.5.3.1 Increasing R&D investments to boost adoption of aquaculture robots
12 COMPETITIVE LANDSCAPE (Page No. - 171)
12.1 OVERVIEW
12.2 MARKET RANKING ANALYSIS, 2019
12.3 COMPETITIVE SITUATION AND TRENDS
12.4 COMPETITIVE LEADERSHIP MAPPING
12.4.1 VISIONARY LEADERS
12.4.2 INNOVATORS
12.4.3 DYNAMIC DIFFERENTIATORS
12.4.4 EMERGING COMPANIES
12.5 RECENT DEVELOPMENTS
12.5.1 PRODUCT LAUNCHES AND DEVELOPMENTS
12.5.2 AGREEMENTS, PARTNERSHIPS, AND CONTRACTS
12.5.3 MERGERS AND ACQUISITIONS
13 COMPANY PROFILES (Page No. - 179)
(Business overview, Products offered, Recent Developments, SWOT Analysis, MNM view)*
13.1 KEY PLAYERS
13.1.1 DEERE & COMPANY
13.1.2 TRIMBLE
13.1.3 TOPCON POSITIONING SYSTEMS
13.1.4 DELAVAL
13.1.5 ANTELLIQ (SUBSIDIARY OF MERCK & CO., INC.)
13.1.6 AFIMILK LTD.
13.1.7 AKVA GROUP
13.1.8 INNOVASEA SYSTEMS
13.1.9 HELIOSPECTRA
13.1.10 LUMIGROW
13.1.11 TREEMETRICS
13.2 OTHER IMPORTANT PLAYERS
13.2.1 RAVEN INDUSTRIES
13.2.2 AG LEADER TECHNOLOGY
13.2.3 AGJUNCTION
13.2.4 THE CLIMATE CORPORATION (SUBSIDIARY OF MONSANTO)
13.2.5 NEDAP NV
13.2.6 BOUMATIC, LLC
13.2.7 FANCOM B.V. (SUBSIDIARY OF CTB INTERNATIONAL CORP.)
13.2.8 AQUABYTE
13.2.9 STEINSVIK
13.2.10 VEMCO
13.2.11 NEXUS
13.2.12 CERTHON
13.2.13 QUANTUM SPATIAL
13.2.14 HITACHI CONSTRUCTION MACHINERY
*Details on Business overview, Products offered, Recent Developments, SWOT Analysis, MNM view might not be captured in case of unlisted companies.
14 APPENDIX (Page No. - 229)
14.1 INSIGHTS FROM INDUSTRY EXPERTS
14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 AVAILABLE CUSTOMIZATION
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
LIST OF TABLES (91 Tables)
TABLE 1 SMART AGRICULTURE MARKET, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 2 SMART AGRICULTURE MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 3 PRECISION FARMING MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
TABLE 4 PRECISION FARMING MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 5 PRECISION FARMING MARKET FOR AUTOMATION AND CONTROL SYSTEMS, BY TYPE, 2017–2025 (USD MILLION)
TABLE 6 PRECISION FARMING MARKET FOR AUTOMATION AND CONTROL SYSTEMS, BY TYPE, 2017–2025 (THOUSAND UNITS)
TABLE 7 PRECISION FARMING MARKET FOR AUTOMATION AND CONTROL SYSTEMS, BY REGION, 2017–2025
TABLE 8 PRECISION FARMING MARKET FOR SENSING AND MONITORING DEVICES, BY TYPE, 2017–2025 (USD MILLION)
TABLE 9 PRECISION FARMING MARKET FOR SENSING AND MONITORING DEVICES, BY REGION, 2017–2025 (USD MILLION)
TABLE 10 PRECISION FORESTRY MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
TABLE 11 PRECISION FORESTRY MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 12 LIVESTOCK MONITORING MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
TABLE 13 LIVESTOCK MONITORING MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 14 LIVESTOCK MONITORING MARKET FOR RFID TAGS AND READERS, BY REGION, 2017–2025 (USD MILLION)
TABLE 15 LIVESTOCK MONITORING MARKET FOR SENSORS, BY REGION, 2017–2025 (USD MILLION)
TABLE 16 PRECISION AQUACULTURE MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
TABLE 17 PRECISION AQUACULTURE MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 18 SMART GREENHOUSE MARKET FOR HARDWARE, BY TYPE, 2017–2025 (USD MILLION)
TABLE 19 SMART GREENHOUSE MARKET FOR HARDWARE, BY REGION, 2017–2025 (USD MILLION)
TABLE 20 SMART AGRICULTURE MARKET FOR SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 21 LIVESTOCK MONITORING MARKET FOR SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 22 PRECISION AQUACULTURE MARKET FOR SOFTWARE, BY DEPLOYMENT TYPE, 2017–2025 (USD MILLION)
TABLE 23 SMART AGRICULTURE MARKET FOR SERVICES, BY REGION, 2017–2025 (USD MILLION)
TABLE 24 PRECISION FARMING MARKET FOR SERVICES, BY TYPE, 2017–2025 (USD MILLION)
TABLE 25 LIVESTOCK MONITORING MARKET FOR SERVICES, BY TYPE, 2017–2025 (USD MILLION)
TABLE 26 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 27 PRECISION FARMING MARKET, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 28 PRECISION FARMING MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 29 PRECISION FARMING MARKET IN AMERICAS, BY REGION, 2017–2025 (USD MILLION)
TABLE 30 PRECISION FARMING MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 31 PRECISION FARMING MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 32 PRECISION FARMING MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 33 PRECISION FARMING MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 34 PRECISION FARMING MARKET IN ROW, BY GEOGRAPHY, 2017–2025 (USD MILLION)
TABLE 35 PRECISION FARMING MARKET FOR GUIDANCE TECHNOLOGY, BY TYPE, 2017–2025 (USD MILLION)
TABLE 36 PRECISION FORESTRY MARKET, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 37 PRECISION FORESTRY MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 38 PRECISION FORESTRY MARKET IN AMERICAS, BY REGION, 2017–2025 (USD MILLION)
TABLE 39 PRECISION FORESTRY MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 40 PRECISION FORESTRY MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 41 PRECISION FORESTRY MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 42 PRECISION FORESTRY MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 43 LIVESTOCK MONITORING MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 44 SMART GREENHOUSE MARKET, BY TYPE, 2017–2025 (USD MILLION)
TABLE 45 SMART GREENHOUSE MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 46 PRECISION AQUACULTURE MARKET, BY TECHNOLOGY, 2017–2025 (USD MILLION)
TABLE 47 PRECISION AQUACULTURE MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 48 MARKET FOR OTHER AGRICULTURE TYPES, 2017–2025 (USD MILLION)
TABLE 49 MARKET FOR OTHER AGRICULTURE TYPES, BY REGION, 2017–2025 (USD MILLION)
TABLE 50 SMART AGRICULTURE MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 51 PRECISION FARMING MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 52 BENEFITS OF YIELD MONITORING
TABLE 53 PRECISION FARMING MARKET FOR YIELD MONITORING APPLICATION, BY TYPE, 2017–2025 (USD MILLION)
TABLE 54 PRECISION FARMING MARKET FOR YIELD MONITORING APPLICATION, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 55 PRECISION FARMING MARKET FOR YIELD MONITORING APPLICATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 56 PRECISION FARMING MARKET FOR FIELD MAPPING APPLICATION, BY TYPE, 2017–2025 (USD MILLION)
TABLE 57 PRECISION FORESTRY MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 58 LIVESTOCK MONITORING MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 59 LIVESTOCK MONITORING MARKET FOR MILK HARVESTING MANAGEMENT APPLICATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 60 LIVESTOCK MONITORING MARKET FOR BREEDING MANAGEMENT APPLICATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 61 LIVESTOCK MONITORING MARKET FOR FEEDING MANAGEMENT APPLICATION, BY REGION, 2017–2025 (USD MILLION)
TABLE 62 PRECISION AQUACULTURE MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 63 SMART GREENHOUSE MARKET, BY APPLICATION, 2017–2025 (USD MILLION)
TABLE 64 SMART AGRICULTURE MARKET, BY FARM SIZE, 2017–2025 (USD MILLION)
TABLE 65 PRECISION FARMING MARKET, BY FARM SIZE, 2017–2025 (USD MILLION)
TABLE 66 LIVESTOCK MONITORING MARKET, BY FARM SIZE, 2017–2025 (USD MILLION)
TABLE 67 SMART AGRICULTURE MARKET FOR SMALL FARMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 68 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 69 SMART AGRICULTURE MARKET FOR LARGE FARMS, BY REGION, 2017–2025 (USD MILLION)
TABLE 70 SMART AGRICULTURE MARKET, BY REGION, 2017–2025 (USD MILLION)
TABLE 71 SMART AGRICULTURE MARKET IN AMERICAS, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 72 SMART AGRICULTURE MARKET IN AMERICAS, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 73 SMART AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017–2025 (USD MILLION)
TABLE 74 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 75 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 76 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 77 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 78 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 79 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 80 SMART AGRICULTURE MARKET IN EUROPE, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 81 SMART AGRICULTURE MARKET IN EUROPE, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 82 SMART AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 83 SMART AGRICULTURE MARKET IN APAC, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 84 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 85 SMART AGRICULTURE MARKET IN APAC, BY COUNTRY, 2017–2025 (USD MILLION)
TABLE 86 SMART AGRICULTURE MARKET IN ROW, BY OFFERING, 2017–2025 (USD MILLION)
TABLE 87 SMART AGRICULTURE MARKET IN ROW, BY AGRICULTURE TYPE, 2017–2025 (USD MILLION)
TABLE 88 SMART AGRICULTURE MARKET IN ROW, BY GEOGRAPHY, 2017–2025 (USD MILLION)
TABLE 89 PRODUCT LAUNCHES AND DEVELOPMENTS, 2017–2019
TABLE 90 AGREEMENTS, PARTNERSHIPS, AND CONTRACTS, 2017–2019
TABLE 91 MERGERS AND ACQUISITIONS, 2017–2019
LIST OF FIGURES (67 Figures)
FIGURE 1 SMART AGRICULTURE MARKET: RESEARCH DESIGN
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 4 DATA TRIANGULATION
FIGURE 5 INCREASING ADOPTION OF IOT AND AI TECHNOLOGIES TO DRIVE GROWTH OF SMART AGRICULTURE MARKET FROM 2020 TO 2025
FIGURE 6 PRECISION FARMING AGRICULTURE TYPE TO HOLD LARGEST SIZE OF OVERALL SMART AGRICULTURE MARKET IN 2025
FIGURE 7 SMART AGRICULTURE MARKET FOR SOFTWARE OFFERINGS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 8 AMERICAS HELD MAJOR SHARE OF SMART AGRICULTURE MARKET IN 2019
FIGURE 9 SURGING ADOPTION OF ADVANCED TECHNOLOGIES SUCH AS IOT AND ARTIFICIAL INTELLIGENCE TO CREATE NEW OPPORTUNITIES IN SMART AGRICULTURE MARKET
FIGURE 10 AUSTRALIA HELD LARGEST SHARE OF SMART AGRICULTURE MARKET IN APAC IN 2019
FIGURE 11 HARDWARE TO HOLD LARGEST SHARE OF SMART AGRICULTURE MARKET IN 2025
FIGURE 12 PRECISION FARMING AGRICULTURE TYPE TO HOLD LARGEST SIZE OF SMART AGRICULTURE MARKET IN 2025
FIGURE 13 CHINA TO WITNESS HIGHEST CAGR IN GLOBAL SMART AGRICULTURE MARKET DURING FORECAST PERIOD
FIGURE 14 EVOLUTION OF SMART AGRICULTURE CONCEPT
FIGURE 15 SMART AGRICULTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 16 GLOBAL CONSUMPTION OF MAJOR FIELD CROPS, 2005–2050
FIGURE 17 GLOBAL FISHERY PRODUCTION, 2016–2026 (MILLION TONNES)
FIGURE 18 GLOBAL MILKING ROBOTS INSTALLED BASE, 2017–2030 (UNITS)
FIGURE 19 VALUE CHAIN ANALYSIS: SMART AGRICULTURE MARKET
FIGURE 20 MAJOR PARTICIPANTS IN SMART AGRICULTURE VALUE CHAIN
FIGURE 21 INCREASING USE OF M2M SOLUTIONS IN AGRICULTURE—LEADING TREND AMONG KEY MARKET PLAYERS
FIGURE 22 SOFTWARE AND SERVICE OFFERINGS TO EXHIBIT HIGHER CAGR THAN HARDWARE OFFERINGS IN SMART AGRICULTURE MARKET FROM 2020 TO 2025
FIGURE 23 AUTOMATION AND CONTROL SYSTEMS TO HOLD LARGER SIZE OF PRECISION FARMING MARKET FOR HARDWARE IN 2020
FIGURE 24 PRECISION FARMING MARKET IN APAC FOR AUTOMATION AND CONTROL SYSTEMS TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 25 YIELD MONITORS TO HOLD LARGEST SIZE OF PRECISION FARMING MARKET IN 2025
FIGURE 26 AMERICAS TO ACCOUNT FOR LARGEST SIZE OF PRECISION FORESTRY MARKET IN 2020
FIGURE 27 GPS TO REGISTER HIGHEST CAGR IN LIVESTOCK MONITORING MARKET FROM 2020 TO 2025
FIGURE 28 SHIPMENT OF RFID TAGS, 2019—2025 (MILLION UNITS)
FIGURE 29 MONITORING DEVICES TO HOLD LARGEST SIZE OF PRECISION AQUACULTURE HARDWARE MARKET IN 2025
FIGURE 30 HVAC SYSTEMS TO ACCOUNT FOR LARGEST SIZE OF SMART GREENHOUSE HARDWARE MARKET IN 2020
FIGURE 31 CLOUD-BASED SOFTWARE TO CAPTURE LARGEST SIZE OF LIVESTOCK MONITORING MARKET IN 2025
FIGURE 32 SYSTEM INTEGRATION AND CONSULTING SERVICES TO HOLD LARGEST SIZE OF PRECISION FARMING MARKET IN 2025
FIGURE 33 PRECISION FARMING TO CONTINUE TO DOMINATE SMART AGRICULTURE MARKET FROM 2020 TO 2025
FIGURE 34 VARIABLE RATE TECHNOLOGY TO EXHIBIT HIGHEST CAGR IN PRECISION FARMING MARKET, BY TECHNOLOGY, FROM 2020 TO 2025
FIGURE 35 NETHERLANDS TO RECORD HIGHEST CAGR IN EUROPEAN PRECISION FARMING MARKET FROM 2020 TO 2025
FIGURE 36 FIRE DETECTION TECHNOLOGY TO EXHIBIT HIGHEST CAGR IN PRECISION FORESTRY MARKET FROM 2020 TO 2025
FIGURE 37 PRECISION FORESTRY MARKET IN APAC TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 38 ARGENTINA TO EXHIBIT HIGHEST CAGR IN SOUTH AMERICAN PRECISION FORESTRY MARKET FROM 2020 TO 2025
FIGURE 39 EUROPE TO ACCOUNT FOR LARGEST SIZE OF LIVESTOCK MONITORING MARKET IN 2025
FIGURE 40 EUROPE TO REGISTER LARGEST SIZE OF SMART GREENHOUSE MARKET IN 2025
FIGURE 41 AMERICAS TO HOLD LARGEST SIZE OF MARKET FOR OTHER AGRICULTURE TYPES IN 2025
FIGURE 42 SMART AGRICULTURE MARKET, BY APPLICATION, 2020 VS. 2025
FIGURE 43 WEATHER TRACKING AND FORECASTING APPLICATION IN PRECISION TRACKING TO WITNESS HIGHEST CAGR IN SMART AGRICULTURE MARKET FROM 2020 TO 2025
FIGURE 44 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN PRECISION FARMING MARKET FOR YIELD MONITORING APPLICATION FROM 2020 TO 2025
FIGURE 45 INVENTORY AND LOGISTIC MANAGEMENT APPLICATION TO WITNESS HIGHEST CAGR IN PRECISION FORESTRY MARKET DURING FORECAST PERIOD
FIGURE 46 LIVESTOCK MONITORING MARKET FOR HEAT STRESS MANAGEMENT APPLICATION TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 47 FEEDING MANAGEMENT APPLICATION TO CAPTURE LARGEST SIZE OF PRECISION AQUACULTURE MARKET DURING 2020–2025
FIGURE 48 MEDIUM-SIZED FARMS TO HOLD LARGEST SIZE OF SMART AGRICULTURE MARKET FROM 2020 TO 2025
FIGURE 49 SMALL FARMS TO REGISTER HIGHEST CAGR IN PRECISION FARMING MARKET DURING FORECAST PERIOD
FIGURE 50 LIVESTOCK MONITORING MARKET FOR MEDIUM-SIZED FARMS TO GROW AT HIGHEST CAGR FROM 2020 TO 2025
FIGURE 51 AMERICAS TO HOLD LARGEST SIZE OF SMART AGRICULTURE MARKET FOR SMALL FARMS FROM 2020 TO 2025
FIGURE 52 EUROPE TO WITNESS HIGHEST CAGR IN SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS FROM 2020 TO 2025
FIGURE 53 AMERICAS TO HOLD LARGEST SIZE OF SMART AGRICULTURE MARKET FOR LARGE FARMS IN 2025
FIGURE 54 CHINA TO REGISTER HIGHEST CAGR IN GLOBAL SMART AGRICULTURE MARKET DURING FORECAST PERIOD
FIGURE 55 NORTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT
FIGURE 56 SOUTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT
FIGURE 57 EUROPE: SMART AGRICULTURE MARKET SNAPSHOT
FIGURE 58 APAC: SMART AGRICULTURE MARKET SNAPSHOT
FIGURE 59 PRODUCT LAUNCHES: KEY STRATEGIES ADOPTED BY KEY PLAYERS FROM 2017 TO 2019
FIGURE 60 MARKET RANKING OF TOP 5 PLAYERS IN SMART AGRICULTURE MARKET, 2019
FIGURE 61 SMART AGRICULTURE MARKET EVALUATION FRAMEWORK
FIGURE 62 SMART AGRICULTURE MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019
FIGURE 63 DEERE & COMPANY: COMPANY SNAPSHOT
FIGURE 64 TRIMBLE: COMPANY SNAPSHOT
FIGURE 65 DELAVAL: COMPANY SNAPSHOT
FIGURE 66 AKVA GROUP: COMPANY SNAPSHOT
FIGURE 67 HELIOSPECTRA: COMPANY SNAPSHOT
The study involved 4 major activities in estimating the size of the smart agriculture market. Exhaustive secondary research has been done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and market sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches have been employed to estimate the size of the global market. After that, market breakdown and data triangulation have been used to estimate the market sizes of segments and subsegments.
Secondary Research
In the smart agriculture market report, both top-down and bottom-up approaches have been used to estimate and validate the size of the smart agriculture market, along with other dependent submarkets. The key players in the smart agriculture market have been identified through secondary research, and their market shares have been determined through primary and secondary research. This entire research methodology involved studying annual and financial reports of the top players and interviewing experts (such as CEOs, VPs, directors, and marketing executives) for key insights (both quantitative and qualitative). All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the possible parameters that may affect the markets covered in this research study have been accounted for, viewed in detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.
Primary Research
The smart agriculture market supply chain comprises several stakeholders such as equipment manufacturers, device manufacturers, technology and solution providers, and system integrators. The demand side of this market is characterized by government, precision farming companies, livestock monitoring technology providers, smart greenhouse providers, precision aquaculture companies, commercial agriculture farms, agriculture research institutes, family-owned agriculture, livestock, and aquaculture farms, and agriculture-related associations; the supply side is characterized by agriculture equipment manufacturer component suppliers, solution providers, and system integrators. Various primary sources from both the supply and demand sides of the market have been interviewed to obtain qualitative and quantitative information. The breakdown of the primary respondents is provided below:
Market Size Estimation
Both top-down and bottom-up approaches have been used to estimate and validate the total size of the smart agriculture market. These methods have also been extensively used to estimate the sizes of various market subsegments. The research methodology used to estimate the market size includes the following:
- Key players in the market have been identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size—using the market size estimation processes explained above—the market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides.
Objectives of This Study Are as Follows:
- To define, analyze, and forecast the smart agriculture market, in terms of value, by system type, offering, application, and geography
- To forecast the smart agriculture market, in terms of volume, by hardware offerings
- To analyze opportunities in the market for various stakeholders by identifying the high-growth segments of the smart agriculture market
- To forecast the smart agriculture market for various segments with respect to 4 regions—Americas–North America, South America; Europe, Asia Pacific (APAC), and Rest of the World (RoW)
- To strategically profile key players and comprehensively analyze their market positions in terms of ranking and core competencies, and detail the competitive landscape for market leaders
Available Customizations:
Country-wise Information:
- Detailed analysis of various hardware and software for each country.
- Detailed analysis of agriculture types–precision farming, livestock monitoring, precision aquaculture, smart greenhouses, and precision forestry in each country.
Company Information:
- Detailed analysis and profiling of additional market players (up to 5)
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Benchmarking the rapid strategy shifts of the Top 100 companies in the Smart Agriculture Market
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Growth opportunities and latent adjacency in Smart Agriculture Market
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?
"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."
I would like to procure data with breakdown for Asian countries for the smart agricultural report.
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
Have you include aquaculturetechnology in your scope or it is just limited to precision agriculture industry ?