Smart Agriculture Market by Offering, Agriculture Type (Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse ), Application, Farm Size, & Geography, 2026
Updated on : Feb 01, 2023
The smart agriculture market is projected to reach USD 20.8 billion by 2026; it is expected to grow at a CAGR of 10.1% during the forecast period.
Some of the major factor propelling the growth of smart agriculture market includes rising pressure on food supply system owing to rapidly growing population, surging use of modern technologies in agricultural products, rising income levels and demand for protein-rich aqua food, and growing focus of farmers on livestock monitoring and disease detection.
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Smart Agriculture Market Dynamics:
Driver: Rising pressure on food supply system owing to rapidly growing population
According to the United States Food and Agriculture Organization, the global population is expected to reach 9 billion by 2050. Thus, the demand for food is estimated to grow at arate of 2% every year, with a subsequent increase in global demand for land, energy, water, and other resources. 70% more food is expected to beproduced by 2050.
Precision farming could be a long-term solution to an increased requirement for food across the world, especially in emerging countries such as India and China. It will also allow farmers to improve efficiency and increase production. Farmers might have to multiply their yield manifold to meet the increasing demand for food. The utilization of precision farming tools could optimize farm operations and help increase food production without compromising quality standards.
Additionally, with the utilization of modern tools, farmers can achieve better control over techniques of raising livestock and growing crops. This technique not only ensures improved efficiency and high crop productivity but also mitigates the risk of losing yield and avoids wastage of valuable resources, including water, fertilizers, and pesticides. The implementation of smart farming techniques also implies reduced strain on the environment as it is not exposed to harmful chemicals as these chemicals are used rarely, only when it is highly needed.
Restraint: High upfront cost for development 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 them high-priced 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.
Apart from high initial monetary investment to deploy GPS, drones, 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:Growing use of unmanned aerial vehicles or drones in agricultural farms
The Association for Unmanned Vehicle Systems International (AUVSI)—the trade group that represents manufacturers and users of drones and other robotic equipment—predicts that agricultural usage would account for 80% of the commercial market for drones by 2030. Once the Federal Aviation Administration (FAA) establishes guidelines for commercial use, the drone industry is expected to create more than 100,000 jobs and generate nearly half a billion in tax revenue by 2025 in the US—of which, the highest, would be generated by the agriculture sector.
The use of unmanned aerial vehicles (UAVs) or drones is no more limited to battlefields as they are increasingly used inagricultural fields as well.They capture highly accurate aerial images up to hundreds of hectares/acres in a single flight, thereby saving a lot of money in the process. Agricultural drones are cheaper than surveillance drones, and they come with advanced sensors and imaging abilities that provide farmers with new ways of increasing crop yield and reducing crop damage.
Challenge: Livestock farming is increasing environmental concerns and global warming
Livestock farming contributes 14-15% of the man-made greenhouse-gas emissions that are warming the planet. Animal manure can disrupt the nitrogen cycle or contaminate waterways. Livestock farming has a vast environmental footprint and negative impact on climate. It also contributes to land and water degradation, biodiversity loss, acid rain, coral reef degeneration, and deforestation. The livestock sector already uses around 10% of global agricultural land and 8% of the total available freshwater. It is also largely responsible for deforestation and biodiversity loss and contributes 15% of global CO2 emissions.
According to the UN Food and Agriculture Organization, the demand for meat is expected to rise by 73% between 2010 and 2030; and the demand for milk is expected to increase by 58% during the same period. Due to the increasing demand for livestock products, more pressure on the environment is expected to be observed by 2030. The rising demand for dairy products, focus on increasing profitability and yield, along with the minimum impact on the environment and climate change, are expected to be major challenges for livestock farming in the near future.
Demand for farm monitoring and sensing devices to witness significant surge between 2022 and 2027
The demand for sensing and monitoring devices is expected to increase during the forecast period. Water sensor devices are expected togrow at the highest CAGR during the forecast period. The water sensor is extensively used in irrigation practices as the demand for smart irrigation practices is increasing.
Hardware devices used for livestock monitoring include RFID tags and readers, sensors, transmitters and mounting equipment, and GPS. These hardware systems enable the efficient management of resources, tracking cattle movement, and devising and managing feeding and milking plans for each animal. It is necessary to install highly reliable storage and networking devices, as well as monitoring devices such as RFID tags and readers and GPS systems to get real-time data for livestock monitoring.
Precision farming likely to account for highest market share in smart agriculture during the forecast period
The most significant factor fueling the growth of the precision farming market is the high focus of farmers on improving farm efficiency and increasing crop productivity due to the growing global population. This large share can be attributed 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.Currently, the precision farming market is in the growth phase and is expected to grow further due to the increasing adoption of technologies such as global positioning systems (GPS), guidance technology, and remote sensing technology by farmers or growers. The most significant factor driving the growth of the precision farming market is the high focus of farmers on improving farm efficiency and increasing crop productivity due to the growing global population.
Small-sized farms expected to adopt farm automation and other advanced technologies at the highest rate in the coming years
Small farms for precision farming are farms with less than 100 acres. Many small farms do not have access to fundamental precision farming technologies, such as yield monitoring, guidance, and variable rate technologies. The growing government initiatives and startups to understand the importance of adopting the latest technologies over traditional methods of farming to increase crop yield are driving the demand for precision farming technologies. For example, in July 2021, a Bengaluru-based startup ELAI AgriTech started offering free precision agriculture advice to farmers like weather update about when to irrigate fields, measures to be taken to combat diseases, pest attacks, and nutrition measurement. This creates opportunities for various small farm owners to adopt precision farming technologies.
The definition of dairy farm size varies across different countries and regions. Smart greenhouses with less than 5 ha are considered small. The reduction in the cost of farm automation equipment and advancements in technologies helps in the deployment of automation tools in smaller farms and helps achieve a high return on investment.
Smart agriculture likely to grow at a higher rate in APAC to meet the growing demand for food by the rapidly increasing population
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APAC is one of the emerging markets for smart agriculture. The market in APAC is in the early stage of adoption; the market in this region is expected to grow at a double-digit rate during the forecast period. India, China, and Japan have embraced this technology and hold a major share of the smart agriculture market. However, significant opportunities are yet to be tapped in other Asian countries.Factors driving the adoption of smart agriculture technologies in APAC include the growing demand for food, rising pressure on farmers to improve yields with limited available resources, and increasing requirements to protect crops from unexpected climatic changes.
Key Market Players
John Deere (US), Trimble (US), Topcon Positioning Systems (US), DeLaval (Sweden), AKVA (Norway), Antelliq(France), Afimilk(Israel), InnovaSea Systems(US), Heliospectra(Sweden) and LumiGrow(US)are among the key players operating in the smart agriculturemarket.
Smart Agriculture Market Report Scope -
|
Report Metric |
Details |
| Estimated Market Size | USD 12.9 Billion |
| Market size value in 2026 | USD 20.8 Billion |
| Growth rate | CAGR of 10.1% |
|
Market size available for years |
2017–2026 |
|
Base year considered |
2020 |
|
Forecast period |
2021–2026 |
|
Forecast units |
Value (USD) |
|
Segments covered |
Agriculture Type, Offering, Application, Farm Size, and Region |
|
Regions covered |
Americas, APAC, Europe, and RoW |
| Market Leaders | DeLaval (Sweden), AKVA (Norway), Antelliq(France), Afimilk(Israel), Heliospectra(Sweden) |
| Top Companies in North America | John Deere (US), Trimble (US), Topcon Positioning Systems (US), InnovaSea Systems(US) and LumiGrow(US) |
| Key Market Driver | Rising pressure on food supply system owing to rapidly growing population |
|
Key Market Opportunity |
Growing use of unmanned aerial vehicles or drones in agricultural farms |
| Largest Growing Region | Asia Pacific |
| Largest Market Share | Precision Farming |
This research report categorizes the market based on Agriculture Type, Offering, Application, Farm Size, and Region
Smart Agriculture Market, by Agriculture Type
- Precision Farming
- Livestock Monitoring
- Precision Aquaculture
- Precision Forestry
- Smart Greenhouse
- Others
Smart Agriculture Market, by Offering
- Hardware
- Software
- Services
Smart Agriculture Market, by Application
- Precision Farming
- Livestock Monitoring
- Precision Aquaculture
- Precision Forestry
- Smart Greenhouse
- Others
Market, by Farm Size
- Small
- Medium
- Large
Smart Agriculture Market, by region
- Americas (US, Canada, Mexico, Brazil, Argentina, and Rest of North and South America)
- Europe (UK, Germany, France, Italy, Netherland and Rest of Europe)
- APAC (China, South Korea, Japan, India, Australia, and Rest of APAC)
- RoW (Russia, Middle East and Africa)
Recent Developments
- In April 2021, Topcon Agriculture launched the new manual guidance and autosteering receivers - the AGM 1 and AGS 2, and new Topnet Live cellular, satellite, and bridging correction services - Realpoint, Starpoint, and Skybridge.
- In March 2021, John Deere launched an updated version of ExactRate, an on-planter system to fertilize new crops twice the previous speed and reduce refills needed for fertilizer tanks during planting.
- In March 2021, DeLaval launched RC550 & RC700, a robot collector designed for solid floors to improve cow comfort and hoof condition. With their unique rotary manure intake system, they can handle any manure without using additional water.
- In January 2021,John Deere made significant advancements to its flagship digital product, the Operations Center, by adding a new Work Planner feature allowing farmers to streamline their work setup experience and help operators work more quickly in the field.
- In November 2020, John Deere launched the new AutoPath, a new precision ag application that uses data collected from the first pass in the field to establish precise row guidance for all subsequent field passes, regardless of the machine type or width of the equipment.
- In November 2020, AKVA entered into a USD 58 million agreement with Nordic Aqua Ningbo (China) to deliver a complete RAS facility outside Shanghai.
Critical questions answered by this report:
What are the key strategies adopted by key companies in the smart agriculture market?
The agreements and partnership has been and continues to be some of the major strategies adopted by the key players to grow in the smart agriculture market.
Which is the emerging technology in smart agriculture market?
Artificial intelligence (AI) and internet of things (IoT) are the emerging technologies in the smart agriculture market.
What agriculture type dominates smart agriculture market?
Precision farming dominates smart agriculture market
Who are the major companies in the smart agriculture market?
John Deere (US), Trimble (US), Topcon Positioning Systems (US), DeLaval (Sweden) .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 29)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 GEOGRAPHIC SCOPE
1.3.3 YEARS CONSIDERED FOR THE STUDY
1.4 CURRENCY
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 34)
2.1 RESEARCH DATA
FIGURE 1 SMART AGRICULTURE MARKET: PROCESS FLOW OF MARKET SIZE ESTIMATION
FIGURE 2 MARKET: RESEARCH DESIGN
2.1.1 SECONDARY AND PRIMARY RESEARCH
2.1.2 SECONDARY DATA
2.1.2.1 Key secondary sources
2.1.2.2 Secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 Primary interviews with experts
2.1.3.2 List of key primary respondents
2.1.3.3 Breakdown of primaries
2.1.3.4 Key data from primary sources
2.1.3.5 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)
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH (DEMAND SIDE)
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH (SUPPLY SIDE)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach for capturing market size by top-down analysis (supply side)
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 6 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 LIMITATIONS
2.6 RISK ASSESSMENT
TABLE 1 RISK FACTOR ANALYSIS
3 EXECUTIVE SUMMARY (Page No. - 46)
3.1 SMART AGRICULTURE MARKET: POST-COVID-19
3.1.1 REALISTIC SCENARIO
FIGURE 7 REALISTIC SCENARIO: MARKET, 2017-2026 (USD BILLION)
3.1.2 PESSIMISTIC SCENARIO
FIGURE 8 PESSIMISTIC SCENARIO: MARKET, 2017-2026 (USD BILLION)
3.1.3 OPTIMISTIC SCENARIO
FIGURE 9 OPTIMISTIC SCENARIO: SMART AGRICULTURE MARKET, 2017-2026 (USD BILLION)
FIGURE 10 IMPACT OF COVID-19 ON MARKET
FIGURE 11 PRECISION FARMING SEGMENT TO LEAD MARKET FROM 2021 TO 2026
FIGURE 12 MARKET FOR SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 13 SMALL FARMS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 14 MARKET IN APAC TO GROW AT THE HIGHEST CAGR FROM 2021 TO 2026
4 PREMIUM INSIGHT (Page No. - 52)
4.1 ATTRACTIVE OPPORTUNITIES IN MARKET
FIGURE 15 INCREASING DEMAND FOR SMART AGRICULTURE IN APAC TO FUEL MARKET GROWTH
4.2 MARKET, BY OFFERING
FIGURE 16 HARDWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
4.3 MARKET, BY APPLICATION
FIGURE 17 PRECISION FARMING PROJECTED TO LEAD MARKET FROM 2021 TO 2026
4.4 AMERICAS: MARKET, BY AGRICULTURE TYPE & REGION
FIGURE 18 PRECISION FARMING TO ACCOUNT FOR LARGEST SHARE IN AMERICAS DURING FORECAST PERIOD
4.5 MARKET, BY FARM SIZE
FIGURE 19 SMALL FARM TO GROW HIGHEST CAGR DURING FORECAST PERIOD
4.6 MARKET, BY GEOGRAPHY
FIGURE 20 MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 55)
5.1 DEVELOPMENT OF SMART AGRICULTURE PRACTICES
FIGURE 21 EVOLUTION OF SMART AGRICULTURE CONCEPT
5.2 MARKET DYNAMICS
FIGURE 22 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
FIGURE 23 SMART AGRICULTURE MARKET: DRIVERS
5.2.1.1 Rising pressure on food supply system owing to rapidly growing population
FIGURE 24 GLOBAL CONSUMPTION OF MAJOR FIELD CROPS, 2005–2050
5.2.1.2 Surging use of modern technologies in agricultural products
5.2.1.3 Rising income levels and demand for protein-rich aqua food
FIGURE 25 GLOBAL FISHERY PRODUCTION, 2016–2026 (MILLION TONS)
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 Increased adoption of advanced technologies such as IoT and AI in aquaculture farms
5.2.2 RESTRAINTS
FIGURE 26 MARKET: RESTRAINTS
5.2.2.1 High upfront cost for development of modern agricultural equipment
5.2.2.2 Fragmented agriculture industry
5.2.3 OPPORTUNITIES
FIGURE 27 SMART AGRICULTURE MARKET: OPPORTUNITIES
5.2.3.1 Rising adoption of livestock monitoring solutions in emerging countries
FIGURE 28 GLOBAL MILKING ROBOTS INSTALLED BASE, 2017–2030 (UNITS)
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
5.2.3.5 Agritech startups to increase the use of smart agriculture practices in COVID-19 times
5.2.4 CHALLENGES
FIGURE 29 MARKET: CHALLENGES
5.2.4.1 Management of large volumes of data for productive decision making
5.2.4.2 Livestock farming is increasing environmental concerns and global warming
5.2.5 WINNING IMPERATIVES
5.2.5.1 Environmental protection with the utilization of smart agriculture techniques
5.3 REVENUE SHIFT AND NEW REVENUE POCKETS FOR MARKET PLAYERS
FIGURE 30 REVENUE SHIFT IN SMART AGRICULTURE MARKET
5.4 AVERAGE SELLING PRICE ANALYSIS
TABLE 2 MILKING ROBOTS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS. 2025
TABLE 3 RFID TAGS & READERS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS. 2025
5.5 PRICING ANALYSIS: AVERAGE SELLING PRICE (ASP) TREND FOR SENSORS IN PRECISION AQUACULTURE
FIGURE 31 AVERAGE SELLING PRICES OF PRECISION AQUACULTURE SENSORS (USD)
TABLE 4 PRICING ANALYSIS FOR ROV SYSTEM COMPONENTS
FIGURE 32 AVERAGE PRECISION FARMING DATA ANALYTICS SERVICE COST PER HECTARE FOR DIFFERENT FARM SIZES, 2019
5.6 VALUE CHAIN ANALYSIS
FIGURE 33 VALUE CHAIN ANALYSIS: SMART AGRICULTURE MARKET
5.6.1 MAJOR STAKEHOLDERS IN MARKET
FIGURE 34 MAJOR PARTICIPANTS IN SMART AGRICULTURE VALUE CHAIN
5.7 SMART AGRICULTURE MARKET ECOSYSTEM
FIGURE 35 SMART AGRICULTURE ECOSYSTEM
5.7.1 SMART AGRICULTURE ECOSYSTEM
5.8 TECHNOLOGICAL TRENDS
5.8.1 INTERNET OF THINGS (IOT)
5.8.2 M2M SOLUTIONS
FIGURE 36 INCREASING USE OF M2M SOLUTIONS IN AGRICULTURE—LEADING TREND AMONG KEY MARKET PLAYERS
5.8.3 ROBOTICS
5.8.4 AI AND BLOCKCHAIN IN LIVESTOCK FARMING
FIGURE 37 BLOCKCHAIN AND AI IN PRECISION LIVESTOCK FARMING
5.8.5 ADOPTION OF ROBOTIC CAGES AND UNDERWATER DRONES IN AQUACULTURE FARMS
5.8.6 INTEGRATION OF TELEMATICS WITH FOREST MECHANIZATION IN PRECISION FORESTRY
5.8.7 ADVENT OF LIDAR-FITTED UAVS IN PRECISION FORESTRY
5.9 PORTER’S FIVE FORCES ANALYSIS
FIGURE 38 SMART AGRICULTURE MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 5 MARKET: PORTER’S FIVE FORCES ANALYSIS, 2020
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
5.10 IMPACT OF COVID-19 ON MARKET
5.10.1 PRECISION FARMING
5.10.2 LIVESTOCK MONITORING
5.10.3 PRECISION AQUACULTURE
5.10.4 SMART GREENHOUSE
5.10.5 PRECISION FORESTRY
5.11 REGULATORY LANDSCAPE IN SMART AGRICULTURE
5.11.1 US: AGRICULTURAL DATA ACT 2018
5.11.2 NATIONAL MISSION FOR SUSTAINABLE AGRICULTURE (NMSA)
5.11.3 ENVIRONMENTAL IMPACT ASSESSMENT (EIA)
5.11.4 NATURE CONSERVATION – EUROPEAN UNION (EU)
5.11.5 TARIFF AND REGULATIONS RELATED TO PRECISION FARMING AND SMART GREENHOUSES
TABLE 6 TARIFF REGULATIONS: PRECISION FARMING AND SMART GREENHOUSES
5.11.6 TARIFFS AND REGULATIONS RELATED TO PRECISION AQUACULTURE
TABLE 7 TARIFF REGULATIONS: PRECISION AQUACULTURE
5.12 CASE STUDIES: SMART AGRICULTURE MARKET
5.12.1 INTRODUCTION
5.12.2 OPEN BLUE
TABLE 8 INNOVASEA HELPS OPEN BLUE BECOME LARGEST OPEN-OCEAN FISH FARM IN WORLD
5.12.3 EARTH OCEAN FARMS
TABLE 9 INNOVASEA ENABLES EARTH OCEAN FARMS TO EXPAND PRODUCTION WITH RUGGED EVOLUTION PENS
5.12.4 GIFAS
TABLE 10 PHILIPS LED SOLUTIONS OFFER NEW POSSIBILITIES FOR SALMON INDUSTRY
5.12.5 ERKO SEAFOOD AS
TABLE 11 AKVA GROUP HELPS ERKO SEAFOOD AS WITH PRECISION AQUACULTURE PRODUCTS
5.13 PATENT ANALYSIS
FIGURE 39 TOP 10 COMPANIES WITH HIGHEST NO. OF PATENT IN LAST 10 YEARS
5.13.1 JURISDICTION ANALYSIS
FIGURE 40 JURISDICTION ANALYSIS
5.13.2 TOP PATENT OWNERS
TABLE 12 TOP 20 PATENT OWNERS (US) IN LAST 10 YEARS
TABLE 13 SOME KEY INNOVATIONS AND PATENT REGISTRATIONS FROM SEL
5.14 TRADE DATA
TABLE 14 IMPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290, 2016-2020 (USD THOUSAND)
FIGURE 41 IMPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290, 2016-2020 (USD THOUSAND)
TABLE 15 EXPORT DATA FOR AGRICULTURAL, HORTICULTRAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290, 2016-2020 (USD THOUSAND)
FIGURE 42 EXPORT DATA FOR AGRICULTURAL, HORTICULTURAL, OR FORESTRY MACHINERY EQUIPMENT UNDER HS CODE 843290, 2016-2020 (USD THOUSAND)
6 SMART AGRICULTURE MARKET, BY OFFERING (Page No. - 92)
6.1 INTRODUCTION
FIGURE 43 SERVICES SEGMENT TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 16 MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 17 MARKET, BY OFFERING, 2021–2026 (USD MILLION)
6.2 HARDWARE
6.2.1 PRECISION FARMING HARDWARE
6.2.1.1 Variety of precision farming tools is expected to increase the demand for precision hardware in the forecast period
FIGURE 44 IMPACT OF COVID-19 ON SMART AGRICULTURE HARDWARE MARKET
TABLE 18 POST-COVID-19: SMART AGRICULTURE HARDWARE MARKET, BY OFFERING, 2017–2026 (USD MILLION)
FIGURE 45 AUTOMATION AND CONTROL SYSTEMS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
TABLE 19 PRECISION FARMING MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 20 PRECISION FARMING MARKET, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 21 PRECISION FARMING HARDWARE MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 22 PRECISION FARMING HARDWARE MARKET, BY TYPE, 2021–2026 (USD MILLION)
6.2.1.2 Automation and control systems
FIGURE 46 IRRIGATION CONTROLLER TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 23 AUTOMATION AND CONTROL SYSTEMS MARKET, BY DEVICE TYPE, 2017–2020 (USD MILLION)
TABLE 24 AUTOMATION AND CONTROL SYSTEMS MARKET, BY DEVICE TYPE, 2021–2026 (USD MILLION)
6.2.1.2.1 Displays
6.2.1.2.1.1 Utilization of display devices in precision farming systems will drive the hardware market during the forecast period
6.2.1.2.2 Guidance and steering systems
6.2.1.2.2.1 Automated guidance and steering systems are increasingly adopted in tractors and agriculture robots
6.2.1.2.3 GPS/GNSS devices
6.2.1.2.3.1 High demand for GPS/GNSS devices for variable rate applications will drive the market for automation control system
6.2.1.2.4 Drones/UAVs
6.2.1.2.4.1 Drones are mostly adopted for the identification of pests and weeds
6.2.1.2.5 Handheld mobile devices/handheld computers
6.2.1.2.5.1 Operational flexibility and ease of operation are measure factors for the growing use of handheld mobile devices and computers
6.2.1.2.6 Irrigation controllers
6.2.1.2.6.1 Concerns for efficient use of water expected to propel irrigation controllers market
6.2.1.2.7 Flow and application control devices
6.2.1.2.7.1 Flow and application control devices to facilitate the growth of the precision farming market for variable rate applications
6.2.1.2.8 Others
6.2.1.3 Sensing and monitoring devices
FIGURE 47 YIELD MONITORS TO LEAD MARKET FOR SENSING AND MONITORING DEVICES FROM 2021 TO 2026
TABLE 25 SENSING AND MONITORING DEVICES MARKET, BY DEVICE TYPE, 2017–2020 (USD MILLION)
TABLE 26 SENSING AND MONITORING DEVICES MARKET, BY DEVICE TYPE, 2021–2026 (USD MILLION)
6.2.1.3.1 Yield monitors
6.2.1.3.1.1 Yield monitors to continue to hold the largest market share during the forecast period
6.2.1.3.2 Soil sensors
6.2.1.3.2.1 Soil sensors to provide real-time data on various soil properties
6.2.1.3.3 Nutrient sensors
6.2.1.3.3.1 Nutrient sensors help in identifying nutrients is gaining popularity in precision farming
6.2.1.3.4 Moisture sensors
6.2.1.3.4.1 Moisture sensors help manage irrigation systems more efficiently
6.2.1.3.5 Temperature sensors
6.2.1.3.5.1 Adoption of temperature sensors for checking the suitability of soil for planting expected to grow during the forecast period
6.2.1.4 Water sensors
6.2.1.4.1 Need to focus on effective control on irrigation to drive the use of water sensors
6.2.1.5 Climate sensors
6.2.1.5.1 Uncertainties related to weather and climate propel the demand for climate sensors
6.2.2 LIVESTOCK MONITORING HARDWARE
FIGURE 48 GPS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 27 LIVESTOCK MONITORING MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 28 LIVESTOCK MONITORING MARKET, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 29 LIVESTOCK MONITORING HARDWARE MARKET, BY DEVICE TYPE, 2017–2020 (USD MILLION)
TABLE 30 LIVESTOCK MONITORING HARDWARE MARKET, BY DEVICE TYPE, 2021–2026 (USD MILLION)
6.2.2.1 RFID tags and readers
6.2.2.1.1 Innovation in RFID tags and readers help increase its market share during forecast period
6.2.2.2 Sensors
6.2.2.2.1 Availability of various types of sensors help improve livestock monitoring applications
6.2.2.3 Transmitters and mounting equipment
6.2.2.3.1 Requirement for sending wireless video and audio signals projected to accelerate demand for transmitters
6.2.2.4 GPS
6.2.2.4.1 GPS help in monitoring animals and taking rapid actions to improve the overall efficiency of livestock farming
6.2.2.5 Others
6.2.3 PRECISION FORESTRY HARDWARE
6.2.3.1 Harvesters and forwarders
6.2.3.1.1 Harvesters and forwarders expected to play a crucial role in precision forestry operations
6.2.3.2 UAVs/drones
6.2.3.2.1 Advancements in UAVs/drones expected to increase their demand during the forecast period
6.2.3.3 GPS
6.2.3.3.1 Site-specific forestry management expected to propel the demand for GPS
6.2.3.4 Cameras
6.2.3.4.1 Demand for video cameras with hyperspectral, multispectral, and infra-red sensors expected to increase substantially during the forecast period
6.2.3.5 RFID tags and sensors
6.2.3.5.1 RFID tags and sensors help prevent illegal cutting and smuggling of trees
6.2.3.6 Variable rate controllers
6.2.3.6.1 Increasing adoption of site-specific vegetation management is expected to fuel the demand for variable rate controllers
6.2.3.7 Others
TABLE 31 PRECISION FORESTRY MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 32 PRECISION FORESTRY MARKET, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 33 PRECISION FORESTRY HARDWARE MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 34 PRECISION FORESTRY HARDWARE MARKET, BY TYPE, 2021–2026 (USD MILLION)
6.2.4 PRECISION AQUACULTURE HARDWARE
FIGURE 49 MONITORING DEVICES TO LEAD PRECISION AQUACULTURE HARDWARE MARKET FROM 2021 TO 2026
TABLE 35 PRECISION AQUACULTURE MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 36 PRECISION AQUACULTURE MARKET, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 37 PRECISION AQUACULTURE HARDWARE MARKET, BY DEVICE TYPE, 2017–2020 (USD MILLION)
TABLE 38 PRECISION AQUACULTURE HARDWARE MARKET, BY DEVICE TYPE, 2021–2026 (USD MILLION)
6.2.4.1 Monitoring devices
6.2.4.1.1 Temperature and environmental monitoring devices
6.2.4.1.1.1 Increasing demand for wireless sensor networks to monitor aquaculture farms would propel the growth of monitoring devices
6.2.4.1.2 pH and dissolved oxygen sensors
6.2.4.1.2.1 Growing need to monitor dissolved oxygen content expected to boost the deployment of pH and dissolved oxygen sensors
6.2.4.1.3 Others
6.2.4.2 Camera systems
6.2.4.2.1 Increase in the adoption of smart HD camera systems in aquaculture farming projected to fuel the market growth
6.2.4.3 Control systems
6.2.4.3.1 Adoption of automation devices in aquaculture farming is expected increase the demand for control systems
6.2.4.4 Others
6.2.5 SMART GREENHOUSE HARDWARE
FIGURE 50 HVAC SYSTEMS TO LEAD SMART GREENHOUSE HARDWARE MARKET DURING FORECAST PERIOD
TABLE 39 SMART GREENHOUSE MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 40 SMART GREENHOUSE MARKET, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 41 SMART GREENHOUSE HARDWARE MARKET, BY DEVICE TYPE, 2017–2020 (USD MILLION)
TABLE 42 SMART GREENHOUSE HARDWARE MARKET, BY DEVICE TYPE, 2021–2026 (USD MILLION)
TABLE 43 SMART GREENHOUSE HARDWARE MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 44 SMART GREENHOUSE HARDWARE MARKET, BY TYPE, 2021–2026 (USD MILLION)
6.2.5.1 HVAC systems
6.2.5.1.1 HVAC systems provide an improved indoor environment in smart greenhouses
6.2.5.2 LED grow lights
6.2.5.2.1 LED grow lights enhances operational efficiency and reduces energy consumption in smart greenhouses
6.2.5.3 Irrigation systems
6.2.5.3.1 Irrigation systems help in proper and timely watering of each zone in the greenhouse
6.2.5.4 Material handling equipment
6.2.5.4.1 Material handling equipment helps in reducing plant handling costs on farm
6.2.5.5 Valves and pumps
6.2.5.5.1 Valves and pumps help in managing efficient flow of water by proper distribution of water in various zones of farms
6.2.5.6 Control systems
6.2.5.6.1 Control systems in smart greenhouses make heating and cooling operations easy
6.2.5.7 Sensors and cameras
6.2.5.7.1 Sensors provide quantitative information to guide cultivators and enable automated decision-making related to crop cultivation
6.2.6 OTHER AGRICULTURE HARDWARE
TABLE 45 OTHER AGRICULTURE MARKET, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 46 OTHER AGRICULTURE MARKET, BY OFFERING, 2021–2026 (USD MILLION)
6.3 SOFTWARE
FIGURE 51 IMPACT OF COVID-19 ON SMART AGRICULTURE SOFTWARE MARKET
TABLE 47 POST-COVID-19: SMART AGRICULTURE SOFTWARE MARKET, 2017–2026 (USD MILLION)
FIGURE 52 0N-CLOUD TO LEAD LIVESTOCK MONITORING SOFTWARE MARKET DURING FORECAST PERIOD
TABLE 48 PRECISION FARMING SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION)
TABLE 49 PRECISION FARMING SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
TABLE 50 LIVESTOCK MONITORING SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION)
TABLE 51 LIVESTOCK MONITORING SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
TABLE 52 PRECISION AQUACULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION)
TABLE 53 PRECISION AQUACULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
TABLE 54 SMART GREENHOUSE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION)
TABLE 55 SMART GREENHOUSE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
TABLE 56 OTHER AGRICULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2017–2020 (USD MILLION)
TABLE 57 OTHER AGRICULTURE SOFTWARE MARKET, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
6.3.1 ON-PREMISES
6.3.1.1 Ability to reuse existing servers drive the market for on-premises software solutions
6.3.2 ON-CLOUD
6.3.2.1 Software-as-a-Service (SaaS)
6.3.2.1.1 Increasing popularity of the software-as-a-service model to access crucial data fuels demand for cloud technology
6.3.2.2 Platform-as-a-Service (PaaS)
6.3.2.2.1 PaaS helps in reducing upfront costs for organizations
6.3.3 AI & DATA ANALYTICS
6.3.3.1 AI & data analytics helps in improving harvest quality and accuracy
6.3.4 FARM MANAGEMENT SOFTWARE
6.3.4.1 Farm management software is used to optimize and manage farm operations
6.4 SERVICES
FIGURE 53 SYSTEM INTEGRATION AND CONSULTING SERVICES TO LEAD PRECISION FARMING SERVICES MARKET FROM 2021 TO 2026
TABLE 58 PRECISION FARMING SERVICES MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 59 PRECISION FARMING SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 60 LIVESTOCK MONITORING SERVICES MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 61 LIVESTOCK MONITORING SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 62 PRECISION AQUACULTURE SERVICES MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 63 PRECISION AQUACULTURE SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 64 SMART GREENHOUSE SERVICES MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 65 SMART GREENHOUSE SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 66 OTHER AGRICULTURE SERVICES MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 67 OTHER AGRICULTURE SERVICES MARKET, BY TYPE, 2021–2026 (USD MILLION)
6.4.1 SYSTEM INTEGRATION AND CONSULTING SERVICES
6.4.1.1 High demand for integration of software and hardware equipment expected to propel the growth of system integration and consulting services
6.4.2 MANAGED SERVICES
6.4.2.1 Managed services are provided by third-party vendors who help in the management of precision farming activities
6.4.2.2 Farm operation services
6.4.2.2.1 Farm operation services help generate records and integrate unstructured data
6.4.2.3 Data services
6.4.2.3.1 Growth of mobile applications is expected to increase demand for data services
6.4.2.4 Analytics services
6.4.2.4.1 Increased demand for real-time information to propel the market for analytics services
6.4.3 CONNECTIVITY SERVICES
6.4.3.1 Connectivity services help in generating real-time data for better decision making
6.4.4 ASSISTED PROFESSIONAL SERVICES
6.4.4.1 Assisted professional services help in the improvement and implementation of standards of projects
6.4.4.2 Supply chain management services
6.4.4.2.1 Supply and management services help in mitigating frequent hardware system failures
6.4.4.3 Climate information services
6.4.4.3.1 Climate information services help in better planning of farming activities
6.4.4.4 Others
6.4.5 MAINTENANCE AND SUPPORT SERVICES
6.4.5.1 High deployment of software solutions and precision farming hardware equipment to boost demand for maintenance and support services
6.4.6.1 Installation of hardware equipment and software platform expected to create new opportunities
7 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE (Page No. - 137)
7.1 INTRODUCTION
FIGURE 54 PRECISION FARMING EXPECTED TO DOMINATE SMART AGRICULTURE MARKET FROM 2021 TO 2026
TABLE 68 MARKET, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
TABLE 69 MARKET, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
7.2 PRECISION FARMING
7.2.1 FOCUS ON FARMERS TO IMPROVE FARM EFFICIENCY AND INCREASE CROP PRODUCTIVITY IS DRIVING THE PRECISION FARMING MARKET
FIGURE 55 VARIABLE RATE TECHNOLOGY TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 70 PRECISION FARMING MARKET, BY TECHNOLOGY, 2017–2020 (USD MILLION)
TABLE 71 PRECISION FARMING MARKET, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 72 PRECISION FARMING MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 73 PRECISION FARMING MARKET, BY REGION, 2021–2026 (USD MILLION)
FIGURE 56 PRECISION FARMING MARKET IN APAC EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
7.3 LIVESTOCK MONITORING
7.3.1 LIVESTOCK MONITORING HELPS PROVIDE REAL-TIME INFORMATION ON ANIMAL HEALTH
FIGURE 57 EUROPE TO LEAD LIVESTOCK MONITORING MARKET DURING FORECAST PERIOD
TABLE 74 LIVESTOCK MONITORING MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 75 LIVESTOCK MONITORING MARKET, BY REGION, 2021–2026 (USD MILLION)
7.4 PRECISION AQUACULTURE
7.4.1 ADOPTION OF TECHNOLOGIES LIKE IOT AND AI IN AQUAFARMS HELPS IN DRIVING PRECISION AQUACULTURE MARKET
TABLE 76 PRECISION AQUACULTURE MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 77 PRECISION AQUACULTURE MARKET, BY REGION, 2021–2026 (USD MILLION)
7.4.2 SMART FEEDING SYSTEMS
7.4.2.1 Smart feeding system helps in determining the size and eating behavior of fishes
7.4.3 MONITORING AND CONTROL SYSTEMS
7.4.3.1 Monitoring and control system improving the efficiency of aquafarms
7.4.4 UNDERWATER REMOTELY-OPERATED VEHICLES
7.4.4.1 ROVs helps in monitoring underwater species to improve the aquafarms operation
7.5 PRECISION FORESTRY
7.5.1 USE OF TECHNOLOGIES HELPS IN MAKING PRECISION FORESTRY EFFICIENT AND ECONOMICAL
FIGURE 58 FIRE DETECTION TECHNOLOGY TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 78 PRECISION FORESTRY MARKET, BY TECHNOLOGY, 2017–2020 (USD MILLION)
TABLE 79 PRECISION FORESTRY MARKET, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 80 PRECISION FORESTRY MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 81 PRECISION FORESTRY MARKET, BY REGION, 2021–2026 (USD MILLION)
FIGURE 59 PRECISION FORESTRY MARKET IN APAC AND ROW TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
7.6 SMART GREENHOUSE
7.6.1 WIRED AND WIRELESS TECHNOLOGIES HELPS IN IMPROVING SMART GREENHOUSE OPERATIONS
TABLE 82 SMART GREENHOUSE MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 83 SMART GREENHOUSE MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 84 SMART GREENHOUSE MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 85 SMART GREENHOUSE MARKET, BY REGION, 2021–2026 (USD MILLION)
FIGURE 60 SMART GREENHOUSE MARKET IN EUROPE TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
7.7 OTHERS
FIGURE 61 AMERICAS EXPECTED TO BE THE LARGEST MARKET FOR OTHER AGRICULTURE TYPES DURING FORECAST PERIOD
TABLE 86 OTHER AGRICULTURE MARKET, BY TYPE, 2017–2020 (USD MILLION)
TABLE 87 OTHER AGRICULTURE MARKET, BY TYPE, 2021–2026 (USD MILLION)
TABLE 88 OTHER AGRICULTURE MARKET, BY REGION, 2017–2020 (USD MILLION)
TABLE 89 OTHER AGRICULTURE MARKET, BY REGION, 2021–2026 (USD MILLION)
8 SMART AGRICULTURE MARKET, BY APPLICATION (Page No. - 153)
8.1 INTRODUCTION
FIGURE 62 MARKET, BY APPLICATION
TABLE 90 MARKET, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 91 MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
8.2 PRECISION FARMING
FIGURE 63 COVID-19 IMPACT ON PRECISION FARMING
TABLE 92 POST-COVID 19: PRECISION FARMING MARKET, 2017–2026 (USD MILLION)
FIGURE 64 WEATHER TRACKING & FORECASTING TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 93 PRECISION FARMING MARKET, BY FUNCTION, 2017–2020 (USD MILLION)
TABLE 94 PRECISION FARMING MARKET, BY FUNCTION, 2021–2026 (USD MILLION)
8.2.1 YIELD MONITORING
TABLE 95 BENEFITS OF YIELD MONITORING
8.2.1.1 On-farm yield monitoring
8.2.1.1.1 On-farm yield monitoring helps in the specific allocation of resources according to the needs of plants
8.2.1.2 Off-farm yield monitoring
8.2.1.2.1 Off-farm monitoring technique is beneficial for analysing health of the yield after the harvesting
FIGURE 65 MARKET FOR YIELD MONITORING IN APAC TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
8.2.2 FIELD MAPPING
8.2.2.1 Drainage mapping application to record higher CAGR during the forecast period
8.2.3 BOUNDARY MAPPING
8.2.3.1 Boundary mapping helps farmers attain objectives related to crop productivity
8.2.4 DRAINAGE MAPPING
8.2.4.1 Drainage mapping helps in the elimination of soil moisture
8.2.5 CROP SCOUTING
8.2.5.1 Increase in demand for crop management to propel the growth of crop scouting
8.2.6 WEATHER TRACKING & FORECASTING
8.2.6.1 Weather tracking and forecasting helps in taking precautionary measures for farm protection from natural calamities
8.2.7 VARIABLE RATE
8.2.7.1 Variable rate helps in optimizing crops input for efficient farming
8.2.8 PRECISION IRRIGATION
8.2.8.1 Precision irrigation helps in minimizing water wastage and improving soil fertility
8.2.9 PRECISION SEEDING
8.2.9.1 Precision seeding improves harvest and packing efficiency
8.2.10.1 Precision fertilizer helps in the nutrition requirements of crops for optimum growth
8.2.11.1 Pesticide VRA prevents overuse of pesticides on crops
8.2.12.1 Growing demand for GPS devices for inventory management to propel market growth
8.2.13.1 Increasing need for effective handling of labor expected to drive demand for farm labor management solutions
8.2.14.1 Financial management helps farmers or growers make strategic decisions
8.3 LIVESTOCK MONITORING
FIGURE 66 IMPACT OF COVID-19 ON LIVESTOCK MONITORING
TABLE 96 POST-COVID-19: LIVESTOCK MONITORING, 2017–2026 (USD MILLION)
FIGURE 67 BREEDING MANAGEMENT & ANIMAL COMFORT MANAGEMENT EXPECTED TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 97 LIVESTOCK MONITORING MARKET, BY FUNCTION, 2017–2020 (USD MILLION)
TABLE 98 LIVESTOCK MONITORING MARKET, BY FUNCTION, 2021–2026 (USD MILLION)
8.3.1 FEEDING MANAGEMENT
8.3.1.1 Increasing awareness in dairy farm owners for correct diet formulation is expected to fuel the growth of feeding management
8.3.2 MILK HARVESTING MANAGEMENT
8.3.2.1 Automated milk solutions in dairy farms expected to drive milk harvest management
8.3.3 BREEDING MANAGEMENT
8.3.3.1 Increase in dairy cattle reproduction will drive demand for livestock monitoring solutions
8.3.4 HEAT STRESS MANAGEMENT
8.3.4.1 Heat stress management expected to witness steady growth in livestock monitoring market during the forecast period
8.3.5 ANIMAL COMFORT MANAGEMENT
8.3.5.1 Increase in practices by livestock owners to detect diseases at initial phase drives demand for animal comfort management software
8.3.6 BEHAVIOR MONITORING AND CONTROL
8.3.6.1 Active awareness regarding animal behavior is expected to boost demand for monitoring solutions
8.3.7 OTHERS
8.4 PRECISION AQUACULTURE
FIGURE 68 FEEDING MANAGEMENT TO LEAD PRECISION AQUACULTURE MARKET FROM 2021 TO 2026
TABLE 99 PRECISION AQUACULTURE MARKET, BY FUNCTION, 2017–2020 (USD MILLION)
TABLE 100 PRECISION AQUACULTURE MARKET, BY FUNCTION, 2021–2026 (USD MILLION)
8.4.1 FEEDING MANAGEMENT
8.4.1.1 Increase in nutrition management of species projected to grow the demand for feeding management
8.4.2 MONITORING, CONTROL, AND SURVEILLANCE
8.4.2.1 Rising adoption of AI and IoT technologies for farm management to propel the growth of monitoring and surveillance
8.4.3 OTHERS
8.5 PRECISION FORESTRY
FIGURE 69 SILVICULTURE AND FIRE MANAGEMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
TABLE 101 PRECISION FORESTRY MARKET, BY FUNCTION, 2017–2020 (USD MILLION)
TABLE 102 PRECISION FORESTRY MARKET, BY FUNCTION, 2021–2026 (USD MILLION)
8.5.1 GENETICS AND NURSERIES
8.5.1.1 UAVs/drones are increasingly being used for tree plantation
8.5.2 SILVICULTURE AND FIRE MANAGEMENT
8.5.2.1 High adoption of wireless sensor network-based forest fire detection systems to propel the growth of silviculture and fire management
8.5.3 HARVESTING MANAGEMENT
8.5.3.1 Harvesting management to account for largest market share during the forecast period
8.5.4 INVENTORY AND LOGISTICS MANAGEMENT
8.5.4.1 Inventory and logistics management helps in manual error to make the supply chain more effective
8.6 SMART GREENHOUSE
TABLE 103 SMART GREENHOUSE MARKET, BY FUNCTION, 2017–2020 (USD MILLION)
TABLE 104 SMART GREENHOUSE MARKET, BY FUNCTION, 2021–2026 (USD MILLION)
8.6.1 COMMERCIAL
8.6.1.1 Automation system to increase cultivation in commercial greenhouse
8.6.2 RESEARCH
8.6.2.1 Increase in demand for customized greenhouses for Research will drive the segment
8.6.3 UNIVERSITIES & SCHOOLS
8.6.3.1 School greenhouse is an effective way to educate students about eco-friendly farming practices
8.6.4 HVAC MANAGEMENT
8.6.4.1 Greenhouse helps in providing an optimal indoor environment for plant growth
8.6.5 YIELD MONITORING AND HARVESTING
8.6.5.1 Yield monitoring tracks temperature, humidity, and light in the room to improves productivity
8.6.6 WATER & FERTILIZER MANAGEMENT
8.6.6.1 Water & fertilizer management helps in reducing waste and production costs of greenhouse
8.6.7 OTHERS
8.7 OTHERS
9 SMART AGRICULTURE MARKET, BY FARM SIZE (Page No. - 180)
9.1 INTRODUCTION
FIGURE 70 MEDIUM FARMS TO LEAD MARKET FROM 2021 TO 2026
TABLE 105 MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
TABLE 106 MARKET, BY FARM SIZE, 2021–2026 (USD MILLION)
FIGURE 71 SMALL FARMS TO DOMINATE PRECISION FARMING MARKET DURING FORECAST PERIOD
TABLE 107 PRECISION FARMING MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
TABLE 108 PRECISION FARMING MARKET, BY FARM SIZE, 2021–2026 (USD MILLION)
FIGURE 72 LIVESTOCK MONITORING MARKET FOR MEDIUM-SIZED FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 109 LIVESTOCK MONITORING MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
TABLE 110 LIVESTOCK MONITORING MARKET, BY FARM SIZE, 2021–2026 (USD MILLION)
TABLE 111 SMART GREENHOUSE MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
TABLE 112 SMART GREENHOUSE MARKET, BY FARM SIZE, 2021–2026 (USD MILLION)
9.2 SMALL FARMS
9.2.1 SMALL FARMS TO GROW AT HIGHEST RATE DURING FORECAST PERIOD
FIGURE 73 AMERICAS TO LEAD MARKET FOR SMALL FARMS DURING FORECAST PERIOD
TABLE 113 MARKET FOR SMALL FARMS, BY REGION, 2017–2020 (USD MILLION)
TABLE 114 SMART AGRICULTURE MARKET FOR SMALL FARMS, BY REGION, 2021–2026 (USD MILLION)
9.3 MEDIUM FARMS
9.3.1 MEDIUM FARMS ARE CONSTANTLY ADOPTING MONITORING SOLUTIONS
FIGURE 74 MARKET FOR MEDIUM-SIZED FARMS IN EUROPE TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
TABLE 115 MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2017–2020 (USD MILLION)
TABLE 116 MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2021–2026 (USD MILLION)
9.4 LARGE FARMS
9.4.1 LARGE FARMS USE PRECISION FARMING TECHNOLOGIES LIKE GPS FOR SOIL MAPPING
FIGURE 75 AMERICAS EXPECTED TO LEAD MARKET FOR LARGE FARMS FROM 2021 TO 2026
TABLE 117 MARKET FOR LARGE FARMS, BY REGION, 2017–2020 (USD MILLION)
TABLE 118 MARKET FOR LARGE FARMS, BY REGION, 2021–2026(USD MILLION)
10 SMART AGRICULTURE MARKET, BY GEOGRAPHY (Page No. - 189)
10.1 INTRODUCTION
FIGURE 76 IMPACT OF COVID-19 ON MARKET IN AMERICAS
TABLE 119 POST-COVID-19: SMART AGRICULTURE MARKET IN AMERICAS, 2017–2026 (USD MILLION)
TABLE 120 MARKET, BY GEOGRAPHY, 2017–2020 (USD MILLION)
TABLE 121 MARKET, BY GEOGRAPHY, 2021–2026 (USD MILLION)
10.2 AMERICAS
TABLE 122 MARKET IN AMERICAS, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 123 MARKET IN AMERICAS, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 124 MARKET IN AMERICAS, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
TABLE 125 MARKET IN AMERICAS, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
TABLE 126 MARKET IN AMERICAS, BY REGION, 2017–2020 (USD MILLION)
TABLE 127 MARKET IN AMERICAS, BY REGION, 2021–2026 (USD MILLION)
10.2.1 NORTH AMERICA
FIGURE 77 NORTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT
TABLE 128 MARKET IN NORTH AMERICA, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 129 MARKET IN NORTH AMERICA, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 130 MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 131 MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2026 (USD MILLION)
10.2.1.1 US
10.2.1.1.1 Presence of key players in the US to boost smart agriculture market growth
10.2.1.2 Canada
10.2.1.2.1 Increasing government initiatives and investments for automation of greenhouses to fuel growth of greenhouses in Canada
10.2.1.3 Mexico
10.2.1.3.1 Mexico expected to register the highest growth in the North American market during the forecast period
10.2.2 SOUTH AMERICA
FIGURE 78 SOUTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT
TABLE 132 MARKET IN SOUTH AMERICA, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 133 MARKET IN SOUTH AMERICA, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 134 MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 135 MARKET IN SOUTH AMERICA, BY COUNTRY, 2021–2026 (USD MILLION)
10.2.2.1 Brazil
10.2.2.1.1 Rapid adoption of precision farming by commercial farmers to fuel the market growth in Brazil
10.2.2.2 Argentina
10.2.2.2.1 Argentina would be the fastest-growing market for smart agriculture solutions in South America during the forecast period
10.2.2.3 Rest of South America
10.3 EUROPE
FIGURE 79 EUROPE: SMART AGRICULTURE MARKET SNAPSHOT
FIGURE 80 IMPACT OF COVID-19 ON SMAR AGRICULTURE MARKET IN EUROPE
TABLE 136 POST COVID-19: SMART AGRICULTURE MARKET IN EUROPE, 2017–2026(USD MILLION)
TABLE 137 MARKET IN EUROPE, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 138 MARKET IN EUROPE, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 139 MARKET IN EUROPE, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
TABLE 140 MARKET IN EUROPE, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
TABLE 141 MARKET IN EUROPE, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 142 MARKET IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION)
TABLE 144 MARKET IN APAC, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 145 MARKET IN APAC, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 146 MARKET IN APAC, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
TABLE 147 MARKET IN APAC, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
TABLE 148 MARKET IN APAC, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 149 MARKET IN APAC, BY COUNTRY, 2021–2026 (USD MILLION)
10.4.1 CHINA
10.4.1.1 Population growth in China to boost adoption of smart agriculture practices
10.4.2 JAPAN
10.4.2.1 Rise in urban farming practices to fuel growth of market
10.4.3 AUSTRALIA
10.4.3.1 Government support plays a major role in the growth of the market
10.4.4 INDIA
10.4.4.1 India to provide attractive growth opportunities in precision farming during the forecast period
10.4.5 SOUTH KOREA
10.4.5.1 Increasing investments by the key players and government support will fuel the market growth during the forecast period
10.4.6 REST OF APAC
10.5 ROW
TABLE 150 SMART AGRICULTURE MARKET IN ROW, BY REGION/COUNTRY, 2017–2020 (USD MILLION)
TABLE 151 MARKET IN ROW, BY REGION/COUNTRY, 2021–2026 (USD MILLION)
TABLE 152 MARKET IN ROW, BY OFFERING, 2017–2020 (USD MILLION)
TABLE 153 MARKET IN ROW, BY OFFERING, 2021–2026 (USD MILLION)
TABLE 154 MARKET IN ROW, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
TABLE 155 MARKET IN ROW, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
10.5.1 AFRICA
10.5.1.1 Precision agriculture market in Africa is expected to grow at a significant rate
10.5.2 MIDDLE EAST
10.5.2.1 Rapid technological developments in big data analytics and cloud-computing platforms expected to drive market
10.5.3 RUSSIA
10.5.3.1 Russia expected to account for the largest share of the smart agriculture market in RoW during the forecast period
11 COMPETITIVE LANDSCAPE (Page No. - 220)
11.1 OVERVIEW
11.2 REVENUE ANALYSIS OF TOP 4 COMPANIES
FIGURE 83 REVENUE ANALYSIS (USD BILLION), 2016–2020
11.3 MARKET SHARE ANALYSIS, 2020
TABLE 156 SMART AGRICULTURE MARKET: DEGREE OF COMPETITION
11.4 COMPANY EVALUATION QUADRANT
11.4.1 STAR
11.4.2 EMERGING LEADER
11.4.3 PERVASIVE
11.4.4 PARTICIPANT
FIGURE 84 MARKET: COMPANY EVALUATION QUADRANT, 2020
11.4.5 COMPANY FOOTPRINT
TABLE 157 COMPANY FOOTPRINT: SMART AGRICULTURE MARKET
TABLE 158 COMPANY OFFERING FOOTPRINT: SMART AGRICULTURE MARKET
TABLE 159 COMPANY APPLICATION FOOTPRINT: SMART AGRICULTURE MARKET
TABLE 160 COMPANY REGION FOOTPRINT: SMART AGRICULTURE MARKET
11.5 MARKET STARTUP/SME EVALUATION QUADRANT, 2020
11.5.1 PROGRESSIVE COMPANIES
11.5.2 RESPONSIVE COMPANIES
11.5.3 DYNAMIC COMPANIES
11.5.4 STARTING BLOCKS
FIGURE 85 MARKET, STARTUP/SME EVALUATION QUADRANT, 2020
11.6 COMPETITIVE SITUATIONS AND TRENDS
11.6.1 PRODUCT LAUNCHES AND DEVELOPMENTS
TABLE 161 PRODUCT LAUNCHES AND DEVELOPMENTS, 2019–2021
11.6.2 DEALS
TABLE 162 DEALS, 2019–2021
12 COMPANY PROFILES (Page No. - 233)
12.1 INTRODUCTION
(Business overview, Products/Services offered, Recent developments & MnM View)*
12.2 KEY PLAYERS
12.2.1 JOHN DEERE
TABLE 163 JOHN DEERE: BUSINESS OVERVIEW
FIGURE 86 JOHN DEERE: COMPANY SNAPSHOT
12.2.2 TRIMBLE
TABLE 164 TRIMBLE: BUSINESS OVERVIEW
FIGURE 87 TRIMBLE: COMPANY SNAPSHOT
12.2.3 TOPCON POSITIONING SYSTEMS
TABLE 165 TOPCON POSITIONING SYSTEMS: BUSINESS OVERVIEW
12.2.4 DELAVAL
TABLE 166 DELAVAL: BUSINESS OVERVIEW
FIGURE 88 DELAVAL: COMPANY SNAPSHOT
12.2.5 AKVA
TABLE 167 AKVA: BUSINESS OVERVIEW
FIGURE 89 AKVA: COMPANY SNAPSHOT
12.2.6 ANTELLIQ (SUBSIDIARY OF MERCK & CO., INC.)
TABLE 168 ANTELLIQ: BUSINESS OVERVIEW
12.2.7 AFIMILK
TABLE 169 AFIMILK: BUSINESS OVERVIEW
12.2.8 INNOVASEA SYSTEMS
TABLE 170 INNOVASEA SYSTEMS: BUSINESS OVERVIEW
12.2.9 HELIOSPECTRA
TABLE 171 HELIOSPECTRA: BUSINESS OVERVIEW
FIGURE 90 HELIOSPECTRA: COMPANY SNAPSHOT
12.2.10 LUMIGROW
TABLE 172 LUMIGROW: BUSINESS OVERVIEW
12.2.11 ABACO GROUP
TABLE 173 ABACO GROUP: BUSINESS OVERVIEW
12.2.12 USE CASES
12.2.13 RIGHT TO WIN
*Details on Business overview, Products/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
12.3 OTHER PLAYERS
12.3.1 TREEMETRICS
12.3.2 RAVEN INDUSTRIES
12.3.3 AG LEADER TECHNOLOGY
12.3.4 AGJUNCTION
12.3.5 THE CLIMATE CORPORATION (SUBSIDIARY OF MONSANTO)
12.3.6 NEDAP
12.3.7 BOUMATIC
12.3.8 FANCOM (SUBSIDIARY OF CTB INTERNATIONAL CORP.)
12.3.9 AQUABYTE
12.3.10 STEINSVIK
12.3.11 VEMCO
12.3.12 NEXUS GREENHOUSE SYSTEMS
12.3.13 CERTHON
12.3.14 NV5 GEOSPATIAL
12.3.15 HITACHI CONSTRUCTION MACHINERY
12.3.16 AKUAKARE
12.3.17 GAMAYA
12.3.18 EC2CE
12.3.19 ERUVAKA TECHNOLOGIES
12.3.20 CROPX
13 APPENDIX (Page No. - 293)
13.1 INSIGHTS FROM INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 AVAILABLE CUSTOMIZATION
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
The study involved four major activities in estimating the current size of the smart agriculture market. Exhaustive secondary research was done to collect information on the market and its peer and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, market breakdown and data triangulation were employed to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources have been referred to for identifying and collecting information important for this study. These secondary sources include smart agriculture journals and magazines, annual reports, press releases, and investor presentations of companies; white papers; certified publications and articles from recognized authors; and directories and databases such as Factiva, Hoovers, and OneSource.
Primary Research
In the primary research process, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative information important for this report. The primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and related executives from key companies and organizations operating in the smart agriculture market. After complete market engineering (including calculations regarding market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information as well as to verify and validate the critical numbers arrived at.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
In the complete market engineering process, both top-down and bottom-up approaches have been implemented, along with several data triangulation methods, to estimate and validate the size of the smart agriculture market and other dependent submarkets listed in this report.
- Key players in the industry and markets have been identified through extensive secondary research.
- In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Smart Agriculture Market: Top-Down Approach
Data Triangulation
After arriving at the overall market size from the estimation process explained above, the global market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at exact statistics for all segments and subsegments, market breakdown and data triangulation procedures have been employed wherever applicable. The data has been triangulated by studying various factors and trends identified from both demand and supply sides.
Report Objectives
The following are the primary objectives of the study.
- To define, describe, and forecast the smart agriculture market, in terms of agriculture type, offering, application, farm size, and region.
- To provide the market size estimation for Americas, Europe, Asia Pacific (APAC), and Rest of the World (RoW), along with their respective country-level market sizes, in terms of value
- To provide detailed information regarding the drivers, restraints, opportunities, and challenges that influence market growth.
- To provide a detailed overview of the smart agriculture market value chain
- To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the total market
- To analyze key trends related to components, connectivity technologies, and applications that shape and influence the global smart agriculture market.
- To profile key players and comprehensively analyze their ranking based on their revenues and core competencies.
- To analyze opportunities in the market for stakeholders and provide a detailed competitive landscape of the market.
- To analyze competitive developments in the market, such as expansion, agreements, partnerships, contracts, product developments, and research and development (R&D)
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information:
- Detailed analysis and profiling of additional market players (up to 5)
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 ?