Smart Agriculture Market

Smart Agriculture Market with COVID-19 impact analysis by Offering, Agriculture Type (Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart Greenhouse ), Application, Farm Size, & Geography – Global Forecast to 2026

Report Code: SE 4043 Apr, 2020, by marketsandmarkets.com

[299 Pages Report] The smart agriculture market is expected to grow from USD 12.9 billion in 2021 to USD 20.8 billion by 2026; it is expected to grow at a CAGR of 10.1 % during the forecast period. The smart agriculture market has been witnessing significant growth over the past years, mainly owing to the advancement and implementation of technologies like artificial intelligence (AI) and internet of things (IoT) in smart agriculture and rising pressure on food supply system, owing to rapid growing population.  

Smart Agriculture Market

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Impact of COVID-19 on Smart Agriculture Market:

The smart agriculture market witnessed a decline in 2020 owing to the spread of COVID-19. The outbreak had adversely impacted the supply chain of the smart agriculture market, as some of the prominent players are based in China and the US, and these countries were the worst affected countries in the pandemic in the first half of 2020. Major companies operating in the smart agriculture market, such as John Deere Trimble, DeLaval, Ponsse, The Climate Corporation, and AKVA Group, witnessed a slowdown in their normal business operations during the first half of 2020. Companies were the most impacted at the end of the second quarter (June) of 2020 as major parts of Europe and North America was under complete lockdown during this period.

The smart agriculture market started witnessing strong momentum during the latter half of 2020 on account of new orders and contracts. The market is expected to witness a U-shaped recovery in 2021 with the rising demand for equipment and automation products in various applications, such as precision farming, precision livestock, precision aquaculture, precision forestry, smart greenhouse, and horticulture. Hence, the need for automation and the adoption of advanced technologies in the agriculture sector is expected to fuel the growth of the smart agriculture market.

Market Dynamics:

Driver: Surging use of modern technologies in agricultural products

Precision farming/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 the wastage of resources. The use of modern technologies such as mapping software, variable rate technology (VRT), yield mapping software, GPS, and data management software in agricultural products help enhance land fertility and profitability, facilitate sustainable agriculture, maximize productivity, and reduce the cost of farming. Increased business efficiency through process automation and 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. Thus, business-oriented agriculturists have started adopting various precision farming/smart agriculture tools to increase crop yield and profit margins.

Restraint: Fragmented agriculture industry

The agriculture industry is not dominated by a single player or by a few large players; it is fragmented with the presence of a large number of small players. The fragmented nature of this industry makes it difficult to implement a standardized machine-to-machine (M2M) solution. Land fragmentation leads to an improper allocation of input and resources, which further leads to high costs. Implementing smart agricultural technologies in fragmented lands wastes time, money, and resources as managing, supervising, and collecting data from scattered lands is difficult. This, in addition, makes it difficult for farmers to attain economies of scale for M2M solutions.

Opportunity: Agritech startups to increase the use of smart agriculture practices in COVID-19 times

With the pandemic hitting the world, there is a huge rise in the use of IoT and AI technologies in agriculture. The agritech startups are bringing innovations. They are integrating AI, IoT, data analytics, and remote sensing technologies to provide immediate solutions for farmer’s problems. These technologies helped create channels during COVID-19 restrictions that allow farmers to choose their market and sell their products at better prices. According to the Federation of Indian Chambers of Commerce & Industry (FICCI), there are nearly 450 agritech startups in India, and is growing at a rate of 25% yearly. Farmers have huge demands to fulfill, especially in countries like India. Agri startups have come up with precision-based sowing techniques. There are AI-based applications that help predict weather conditions and determine the right time to sow seed with precision to get better results and less wastage. The pandemic has created opportunities for agritech startups to innovate and help farmers.

Challenge: Management of large volume of data for productive decision making

The 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 are 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 make smart farm management decisions and improve farm operations. There is no industry standard for managing the agricultural data; this makes the task difficult for growers. The challenge is to standardize the data management system throughout the industry to enable the uniformity of operations

Precision farming to have the largest market share during the forecast period

The rising global demand for food and the growing focus on increasing profitability and production by implementing advanced techniques in farming are among a few of the major factors contributing to the growth of the smart agriculture market. Precision farming accounted for the largest share of the smart agriculture market, by agriculture type. 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.

Medium-sized farm to lead  smart agriculture market during the forecast period

In medium-sized farms, the use of technology is to grow at the highest rate due to the presence of numerous farms across the world. Other factors for the higher penetration of technologies in medium- and large-sized farms include higher return on investment (RoI), flexibility in the integration of software tools in hardware equipment, and a huge saving on labor costs with the use of automated tools.

Smart Agriculture Market by Region

APAC is expected to grow with the highest CAGR during the forecast period

The smart agriculture market in APAC is expected to grow during the forecast period. The adoption rate of smart agriculture techniques is expected to grow at a high rate in APAC as this region consists of emerging countries such as India, China, and countries in Southeast Asia. The increasing adoption of variable rate technology and smart irrigation controllers, along with AI-based farm analytics services, are some of the major factors propelling the growth of the smart agriculture market in this region. The rising demand for automation of livestock farms and aquaculture farms in this region is further expected to boost the growth of the smart agriculture market in Asia Pacific.

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 agriculture market.

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Scope of the Report

Report Metric

Details

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

Companies covered

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 agriculture market.

This research report categorizes the smart agriculture 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                

Smart Agriculture 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 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. It provides farmers with a holistic tool to manage their farms, set up, plan, monitor fieldwork, and analyze their data.
  • 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. AutoPath is included in the John Deere Generation 4 Automation Bundle and is available for the 4600 CommandCenter Integrated Display or the 4640 Universal Display.
  • In November 2019, Trimble introduced GFX-350, an android-based display useful for auto-steering application control for farms. It can be combined with the NAV-500 and NAV-900 guidance systems for different user accuracy needs.

Critical questions answered by this report:

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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 SMART AGRICULTURE 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: SMART AGRICULTURE MARKET, 2017-2026 (USD BILLION)
           3.1.2 PESSIMISTIC SCENARIO
                    FIGURE 8 PESSIMISTIC SCENARIO: SMART AGRICULTURE 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 SMART AGRICULTURE MARKET
                    FIGURE 11 PRECISION FARMING SEGMENT TO LEAD SMART AGRICULTURE MARKET FROM 2021 TO 2026
                    FIGURE 12 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET IN APAC TO GROW AT THE HIGHEST CAGR FROM 2021 TO 2026

4 PREMIUM INSIGHT (Page No. - 52)
    4.1 ATTRACTIVE OPPORTUNITIES IN SMART AGRICULTURE MARKET
           FIGURE 15 INCREASING DEMAND FOR SMART AGRICULTURE IN APAC TO FUEL MARKET GROWTH
    4.2 SMART AGRICULTURE MARKET, BY OFFERING
           FIGURE 16 HARDWARE SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
    4.3 SMART AGRICULTURE MARKET, BY APPLICATION
           FIGURE 17 PRECISION FARMING PROJECTED TO LEAD SMART AGRICULTURE MARKET FROM 2021 TO 2026
    4.4 AMERICAS: SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE & REGION
           FIGURE 18 PRECISION FARMING TO ACCOUNT FOR LARGEST SHARE IN AMERICAS DURING FORECAST PERIOD
    4.5 SMART AGRICULTURE MARKET, BY FARM SIZE
           FIGURE 19 SMALL FARM TO GROW HIGHEST CAGR DURING FORECAST PERIOD
    4.6 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET, BY OFFERING, 2017–2020 (USD MILLION)
           TABLE 17 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
           TABLE 69 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET, BY APPLICATION
           TABLE 90 SMART AGRICULTURE MARKET, BY APPLICATION, 2017–2020 (USD MILLION)
           TABLE 91 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET FROM 2021 TO 2026
           TABLE 105 SMART AGRICULTURE MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
           TABLE 106 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET FOR SMALL FARMS DURING FORECAST PERIOD
                    TABLE 113 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS IN EUROPE TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
                    TABLE 115 SMART AGRICULTURE MARKET FOR MEDIUM-SIZED FARMS, BY REGION, 2017–2020 (USD MILLION)
                    TABLE 116 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET FOR LARGE FARMS FROM 2021 TO 2026
                    TABLE 117 SMART AGRICULTURE MARKET FOR LARGE FARMS, BY REGION, 2017–2020 (USD MILLION)
                    TABLE 118 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET IN AMERICAS
             TABLE 119 POST-COVID-19: SMART AGRICULTURE MARKET IN AMERICAS, 2017–2026 (USD MILLION)
             TABLE 120 SMART AGRICULTURE MARKET, BY GEOGRAPHY, 2017–2020 (USD MILLION)
             TABLE 121 SMART AGRICULTURE MARKET, BY GEOGRAPHY, 2021–2026 (USD MILLION)
     10.2 AMERICAS
             TABLE 122 SMART AGRICULTURE MARKET IN AMERICAS, BY OFFERING, 2017–2020 (USD MILLION)
             TABLE 123 SMART AGRICULTURE MARKET IN AMERICAS, BY OFFERING, 2021–2026 (USD MILLION)
             TABLE 124 SMART AGRICULTURE MARKET IN AMERICAS, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
             TABLE 125 SMART AGRICULTURE MARKET IN AMERICAS, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
             TABLE 126 SMART AGRICULTURE MARKET IN AMERICAS, BY REGION, 2017–2020 (USD MILLION)
             TABLE 127 SMART AGRICULTURE MARKET IN AMERICAS, BY REGION, 2021–2026 (USD MILLION)
             10.2.1 NORTH AMERICA
                        FIGURE 77 NORTH AMERICA: SMART AGRICULTURE MARKET SNAPSHOT
                        TABLE 128 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY OFFERING, 2017–2020 (USD MILLION)
                        TABLE 129 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY OFFERING, 2021–2026 (USD MILLION)
                        TABLE 130 SMART AGRICULTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
                        TABLE 131 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY OFFERING, 2017–2020 (USD MILLION)
                        TABLE 133 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY OFFERING, 2021–2026 (USD MILLION)
                        TABLE 134 SMART AGRICULTURE MARKET IN SOUTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
                        TABLE 135 SMART AGRICULTURE 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 SMART AGRICULTURE MARKET IN EUROPE, BY OFFERING, 2017–2020 (USD MILLION)
             TABLE 138 SMART AGRICULTURE MARKET IN EUROPE, BY OFFERING, 2021–2026 (USD MILLION)
             TABLE 139 SMART AGRICULTURE MARKET IN EUROPE, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
             TABLE 140 SMART AGRICULTURE MARKET IN EUROPE, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
             TABLE 141 SMART AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017–2020 (USD MILLION)
             TABLE 142 SMART AGRICULTURE MARKET IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION)
             TABLE 144 SMART AGRICULTURE MARKET IN APAC, BY OFFERING, 2017–2020 (USD MILLION)
             TABLE 145 SMART AGRICULTURE MARKET IN APAC, BY OFFERING, 2021–2026 (USD MILLION)
             TABLE 146 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
             TABLE 147 SMART AGRICULTURE MARKET IN APAC, BY AGRICULTURE TYPE, 2021–2026 (USD MILLION)
             TABLE 148 SMART AGRICULTURE MARKET IN APAC, BY COUNTRY, 2017–2020 (USD MILLION)
             TABLE 149 SMART AGRICULTURE 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 smart agriculture 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 SMART AGRICULTURE MARKET IN ROW, BY REGION/COUNTRY, 2021–2026 (USD MILLION)
             TABLE 152 SMART AGRICULTURE MARKET IN ROW, BY OFFERING, 2017–2020 (USD MILLION)
             TABLE 153 SMART AGRICULTURE MARKET IN ROW, BY OFFERING, 2021–2026 (USD MILLION)
             TABLE 154 SMART AGRICULTURE MARKET IN ROW, BY AGRICULTURE TYPE, 2017–2020 (USD MILLION)
             TABLE 155 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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 SMART AGRICULTURE 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.

Smart Agriculture Market Size, and Share

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

Smart Agriculture Market Size, and 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)
COVID-19

Get in-depth analysis of the COVID-19 impact on the Smart Agriculture Market

Benchmarking the rapid strategy shifts of the Top 100 companies in the Smart Agriculture Market

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