Agriculture IoT Market

Agriculture IoT Market with COVID-19 Impact Analysis by Hardware, Application (Precision Farming, Precision Forestry, Precision Livestock, Precision Aquaculture, Smart Greenhouse), Farm Size, Production Stage, and Geography - Global Forecast to 2026

Report Code: SE 7397 May, 2021, by marketsandmarkets.com

[348 Pages Report] The global agriculture IoT market is estimated to grow from USD 11.4 billion in 2021 to USD 18.1 billion by 2026 at a CAGR of 9.8% during 2021–2026. The growth of the agriculture IoT market is driven by factors such as increasing adoption of the Internet of Things (IoT) and artificial intelligence (AI) by farmers and growers, growing focus on livestock monitoring and disease detection, high demand for fresh produce, population growth, loss of arable land, surging adoption of aquaculture monitoring and feed optimization devices in developing countries, and strong government support for precision farming practices.

The advent of advanced technologies such as guidance systems, variable rate technology, IoT, AI, and remote sensing has transformed the agriculture industry into a technologically intense and data-rich industry. Smart agriculture technologies assist in increasing profitability, improving sustainability, protecting the environment, and minimizing the consumption of resources such as water, fertilizers, and energy. IoT is implemented in various applications, including precision farming, livestock monitoring, precision aquaculture, smart greenhouse,

Agriculture IoT Market

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COVID-19 Impact on the Global Agriculture IoT market

The agriculture IoT market includes key companies such as Deere & Company (US), Trimble Inc. (US), Raven Industries (US), DeLaval (a subsidiary of Tetra Laval International, S.A.) (Sweden), AKVA group (Norway), Topcon Positioning Systems (US), AgJunction (US), Allflex (Subsidiary of Merck & Co., Inc.), Ponsse (Finland), Komatsu Forest AB (Sweden), InnovaSea Systems (US), Steinsvik (ScaleAQ) (Norway), TeeJet Technologies (US), DICKEY-john (US), AG Leader Technology (US), DJI (US), AgEagle (US), Afimilk (Israel), PrecisionHawk (US), and Eruvaka Technologies (India). These companies have their manufacturing facilities and corporate offices spread across various countries across Asia Pacific, Europe, North America, and RoW. The agriculture IoT hardware products manufactured by these companies are purchased by several stakeholders for various applications. COVID-19 has impacted the operations of the various agriculture IoT hardware manufacturers companies, along with businesses of their suppliers and distributors. The fall in export shipments and slow domestic demand for agriculture IoT hardware in comparison to pre COVID-19 levels is also expected to negatively impact and slightly stagnate the demand for agriculture IoT hardware in short term.

Agriculture IoT market Dynamics

Driver: Increased adoption of VRT, remote sensing, and guidance technologies by farmers worldwide

Precision farming/smart farming 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 the requirements for irrigation, liquid fertilizers, nutrients, herbicides, and pesticides, thereby reducing the wastage of resources and the overall cost of farming. The use of advanced technologies such as remote sensing, variable rate technology (VRT), guidance technology, yield mapping software, GPS, and data management software in agricultural practices help enhance land fertility and profitability, facilitate sustainable agriculture, maximize productivity, reduce the cost of farming, and decrease labor overheads.  GPS-based auto-guidance technology allows growers to reduce the overlapping of equipment and tractor passes, thereby saving fuel, labor, time, and soil compaction. Similarly, VRT allows input application rates to be varied across fields for site-specific management of the field variability. This technology helps in reducing input usage, thereby decreasing environmental impacts such as greenhouse gas emission, soil erosion and degradation, and genetic erosion. The growth rate of VRT is expected to be higher than that of other technologies because VRT helps in applying the right amount of input at the right place on the field, which minimizes the input waste and increases land and crop productivity.

Restraint: High upfront cost for deployment of modern agricultural equipment

A major factor restraining the growth of the agriculture IoT market is the requirement for high initial investments. Currently, agricultural IoT devices and tools are expensive, thereby making it unaffordable for smaller farmers in developed regions and most farmers in emerging economies. Apart from high initial monetary investment to deploy GPS, drones, and GIS, VRT, and satellite devices, precision farming also requires a skilled workforce to handle these technology-enabled devices. Precision livestock farming technologies include automated milking and feeding robots, monitoring and sensing devices, herd management software, which have a huge set-up cost associated with them. Farmers have to make huge investments in automation and control devices, distribution wagons, RFID or GPS-enabled livestock monitoring systems, and robotic equipment. These livestock monitoring products also have high installation and maintenance costs. Similarly, in the case of precision aquaculture farming technologies, tracking systems need to be employed at aquaculture farms, thereby increasing the overall cost of deployment.

Opportunity: Growing adoption of UAVs or drones in agricultural farms

Unmanned aerial vehicles (UAVs) or drones are quickly moving from battlefields to agricultural fields; 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 wastage of resources.

Generally, farmers use satellite imagery and planes to monitor crops. However, these methods are time-consuming, and the data collected through these methods take a longer time to process and analyze.

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 agriculture sector would generate the highest. Drones are being extensively used for capturing real-time data in precision farming, mainly for large farms. Thus, the adoption of unmanned aerial vehicles (UAVs) or drones is expected to provide opportunities for the growth of the agriculture IoT market.

Challenge: Unavailability of simple and standardized data management and data aggregation tools

Data aggregation is a major challenge in the agriculture IoT market. The data obtained from farms using smart agricultural tools is highly important as this data helps farmers in making productive decisions. In precision farming, large volumes of crucial data pertaining to mapping, variable rate seeding, soil testing, yield monitoring, and historical crop rotation is produced regularly. This data must be stored and managed properly as successful precision farming relies entirely on it for assessing farm conditions. Data management is the key to making smart farm-management decisions and improving farm operations.

There is no industry standard for managing agricultural data; this makes the task difficult for growers. The challenge is to standardize the data management system throughout the industry to enable uniformity of operations. Many growers or farmers are not aware of the effective use of data for decision-making purposes. Therefore, it is important to provide farmers and growers with proper data management tools and techniques to acquire, manage, process, and use data effectively. Monitoring, collecting, and managing data on feeding rate, pH levels, quality of water, humidity, and others are essential for livestock farming, and the information also assists in making decisions to improve livestock production. Proper data management in livestock farming enables farmers to understand the behavioral pattern of livestock, track their locations, and detect disease conditions in animals.

Precision aquaculture application segment to register higher CAGR during the forecast period

The precision aquaculture application segment is projected to register the higher CAGR during the forecast period, by application. Increasing demand for real-time tracking of fishing activity is the major reason behind the high growth of the agriculture IoT market in aquaculture farm monitoring applications. Additionally, increasing government support worldwide for freshwater aquaculture production, and growing investments in technological research and product innovations to further boost the demand for the market.

Small farm segment is expected to witness higher CAGR growth during the forecast period

The agriculture IoT market for the small farm segment is projected to register the higher CAGR during the forecast period, by farm size. Small farms are expected to adopt automation and other advanced technologies at the highest rate in the coming years due to the reducing cost of farm automation equipment and advancements in technology that make it more feasible to deploy automation tools even on smaller farms to achieve high returns on investments.

The Post-planning stage segment for the agriculture IoT market is expected to witness higher CAGR growth during the forecast period

The market for the post-production planning stage is estimated to grow at the highest CAGR during the forecast period, by farm production planning stage. In recent years, farm owners have started using agriculture IoT hardware devices extensively for the post-production planning stage. Large and medium-sized farm owners are using yield monitors and inventory and logistics management solutions for the post-production stage of farming.

APAC is projected to register the highest CAGR growth during the forecast period

APAC is likely to be the fastest-growing agriculture IoT market during the forecast period. Agriculture IoT techniques are expected to be adopted at a high rate in APAC. This region consists of emerging countries such as India, China, and countries in South East Asia. Rapidly growing population, availability of arable land, and strong government support for farmers through subsidies in these regions are the major factors driving the adoption of agriculture IoT technologies in APAC.

Agriculture IoT Market by Region

Key Market Players

The agriculture IoT market is dominated by a few established players such as Deere & Company (US), Trimble Inc. (US), Raven Industries (US), DeLaval (a subsidiary of Tetra Laval International, S.A.) (Sweden), and AKVA group (Norway). These companies have adopted both organic and inorganic growth strategies such as product launches and developments, partnerships, contracts, expansions, and acquisitions to strengthen their position in the market.

Scope of the report

Report Metric

Details

Market Size Available for Years

2017–2026

Base Year

2020

Forecast Period

2021–2026

Forecast Unit

Value (USD Million/Billion)

Segments Covered

By Hardware Type,  Farm Type, Farm Production Planning Stage, Application, and Region

Geographic Regions Covered

APAC, North America, South America, Europe, and RoW (includes Middle East and Africa (MEA))

Companies Covered

The major players include are Deere & Company (US), Trimble Inc. (US), Raven Industries (US), DeLaval (a subsidiary of Tetra Laval International, S.A.) (Sweden), AKVA group (Norway), Topcon Positioning Systems (US), AgJunction (US), Allflex (Subsidiary of Merck & Co., Inc.), Ponsse (Finland), Komatsu Forest AB (Sweden), InnovaSea Systems (US), Steinsvik (ScaleAQ) (Norway), TeeJet Technologies (US), DICKEY-john (US), AG Leader Technology (US), DJI (US), AgEagle (US), Afimilk (Israel), PrecisionHawk (US), Hexagon Agriculture (Brazil), Farmers Edge (Canada), Tigercat (US), The Climate Corporation (US), Descartes Labs (US), CropX (Israel), Eruvaka Technologies (India), ec2ce (Spain), Gamaya (Switzerland), Akuakare (Turkey), and In-Situ (US).
 (Total 30 companies)

This report categorizes the agriculture IoT market based on hardware type, farm size, application, farm production planning stage, and region available at the regional and global level

By Hardware Type

  • Precision Farming Hardware
  • Precision Livestock Hardware
  • Precision Aquaculture Hardware
  • Precision Forestry Hardware
  • Smart Greenhouses Hardware
  • Others Hardware

By Farm Type

  • Large
  • Mid-Sized
  • Small Farms

By Farm Production Planning Stage

  • Pre-Production Planning
  • Production Planning
  • Post-Production Planning

By Application

  • Precision Farming
  • Precision Livestock
  • Precision Aquaculture
  • Precision Forestry
  • Smart Greenhouses
  • Others

By Region

  • APAC
  • North America 
  • South America
  • Europe
  • RoW

Recent Developments

  • In March 2021, Deere & Company launched an updated version of ExactRate, which is an on-planter system that fertilizes new crops with twice the previous speed and reduces the number of refills needed for fertilizer tanks during planting.
  • In February 2021, DeLaval introduced RC550 & RC700 to its portfolio of robots. These robots were designed for solid floors to improve cow comfort and hoof condition. With their unique rotary manure intake system, any type of manure can be handled by the collector, and additional water need not be added.
  • In January 2021, Raven Industries introduced its first driverless agriculture technology for harvesting operations. It helps farmers to monitor driverless vehicles by setting field plans, adjusting speeds and monitoring location activities.
  • In December 2020, Trimble Inc. had acquired Midstates VRS, a network that was previously owned by Butler Machinery and Frontier Precision. This acquisition increases the footprint of Trimble's VRS Nowฎ GNSS connections. With this acquisition, Trimble VRS covers more than 1 million square miles in North America. This acquisition is ideal to provide a high-performance GNSS solution for precision agriculture.
  • In November 2020, Innovasea Systems introduced new V3 acoustic telemetry transmitters, which are the smallest in its industry-leading lineup of fish tracking tags. It gives researchers and scientists the ability to study both smaller species of fish and larger species that are at earlier stages of their lifecycle
  • In November 2020, AKVA group entered into an agreement with Nordic Aqua Ningbo to deliver a complete RAS facility outside Shanghai. The project has a planned production volume of 8,000 tons in 2026.
  • In September 2020, Deere & Company acquired Unimil (Brazil), a Brazilian provider of aftermarket parts to sugarcane harvesters. Through this acquisition, the company made investments in the Brazilian market, which will help customers in Brazil to reduce their sugarcane production costs. This acquisition would also allow Deere to offer an expanded portfolio of parts with cost-effective solutions for customers.
  • In July 2020, DeLaval had acquired milkrite|InterPuls (UK), a milking point solution provider to dairy farmers to enhance its product portfolio. Milkrite|InterPuls would continue to operate as a stand-alone company after the acquisition.
  • In June 2020, Merck Animal Health, the parent company of Allflex, acquired Quantified Ag (US). Quantified Ag is a leading data and analytics company in monitoring animal health. This acquisition will offer the complementary products of both the companies to farmers, providing real-time information to farmers.
  • In January 2020, AKVA group acquired Newfoundland Aqua Service Ltd (NAS), a leading supplier of fish farming services in Newfoundland and Labrador. NAS manufactures fish cages, docks, boats and barges, and nets and offers a full range of services including on-land net washing and disinfection, net manufacturing, testing, mending/repair, and antifoulant treatment. Through this acquisition, the company aims to strengthen its geographic presence in this region.
  • In August 2019, AKVA group completed its prototype of a fully electric Polarcirkel boat, which is equipped with a battery pack of 100 kWh with the capacity of 1-hour operation and can be charged in 30 minutes. The product is well suited for the aquaculture industry. The company would commercialize the Polarcirkel boat in 2020.
  • In August 2019, Topcon Agriculture partnered with IBM to develop software for agriculture that integrates the use of artificial intelligence and brings evolution to all the phases of the farming cycle.
  • In March 2019, Steinsvik was chosen as a feeding and integration provider for FishGLOBE, a floating closed cage system developed by Norwegian entrepreneur Arne Berge for a closed-cage aquaculture system. FishGLOBE will be delivering the first cage to a customer in Norway, and it will be equipped with a feeding system, data acquisition, and remote operations capabilities from Steinsvik.

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 40)
    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
    1.4 CURRENCY
    1.5 LIMITATIONS
    1.6 SUMMARY OF CHANGES
    1.7 STAKEHOLDERS

2 RESEARCH METHODOLOGY (Page No. - 45)
    2.1 RESEARCH DATA
           FIGURE 1 AGRICULTURE IOT MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 List of major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews with experts
                    2.1.2.2 List of key primary interview participants
                    2.1.2.3 Breakdown of primaries
                    2.1.2.4 Primary sources
           2.1.3 SECONDARY AND PRIMARY RESEARCH
                    2.1.3.1 Key industry insights
    2.2 MARKET SIZE ESTIMATION
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach for capturing market size by bottom-up analysis
                               FIGURE 2 BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach for capturing market size by top-down analysis
                               FIGURE 3 TOP-DOWN APPROACH
           2.2.3 AGRICULTURE IOT MARKET: DEMAND-SIDE ANALYSIS
                    FIGURE 4 DEMAND-SIDE MARKET SIZE ESTIMATION FOR AGRICULTURE IOT MARKET (PRECISION AQUACULTURE VERTICAL)
                    FIGURE 5 DEMAND-SIDE MARKET SIZE ESTIMATION FOR AGRICULTURE IOT MARKET (PRECISION LIVESTOCK VERTICAL)
           2.2.4 AGRICULTURE IOT MARKET: SUPPLY-SIDE ANALYSIS
                    FIGURE 6 SUPPLY-SIDE MARKET SIZE ESTIMATION FOR PRECISION AQUACULTURE
                    FIGURE 7 MARKET SIZE ESTIMATION: SUPPLY-SIDE APPROACH FOR PRECISION LIVESTOCK
           2.2.5 GROWTH FORECAST ASSUMPTIONS
                    TABLE 1 REMOTE SENSING TECHNOLOGY PENETRATION IN MAJOR COUNTRIES
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
           FIGURE 8 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS

3 EXECUTIVE SUMMARY (Page No. - 61)
    FIGURE 9 AGRICULTURE IOT MARKET: POST-COVID-19 SCENARIO ANALYSIS, 2017–2026 (USD MILLION)
    3.1 REALISTIC SCENARIO (POST-COVID-19)
    3.2 OPTIMISTIC SCENARIO (POST-COVID-19)
    3.3 PESSIMISTIC SCENARIO (POST-COVID-19)
           FIGURE 10 AUTOMATION & CONTROL SYSTEM SEGMENT TO GROW AT HIGHER CAGR IN AGRICULTURE IOT MARKET FOR PRECISION FARMING HARDWARE DURING FORECAST PERIOD
           FIGURE 11 PRECISION FARMING APPLICATION TO HOLD LARGEST SHARE OF AGRICULTURE IOT MARKET DURING FORECAST PERIOD
           FIGURE 12 AGRICULTURE IOT MARKET FOR SMALL FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
           FIGURE 13 PRODUCTION PLANNING SEGMENT TO ACCOUNT FOR LARGEST SIZE OF AGRICULTURE IOT MARKET FROM 2021 TO 2026
           FIGURE 14 AGRICULTURE IOT MARKET IN SOUTH AMERICA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD

4 PREMIUM INSIGHTS (Page No. - 67)
    4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN GLOBAL AGRICULTURE IOT MARKET
           FIGURE 15 INCREASING ADOPTION OF IOT TECHNOLOGY BY FARMERS AND GROWERS IS DRIVING AGRICULTURE IOT MARKET GROWTH
    4.2 AGRICULTURE IOT MARKET IN APAC, BY APPLICATION AND COUNTRY
           FIGURE 16 PRECISION FARMING AND AUSTRALIA HELD LARGEST SHARE OF AGRICULTURE IOT MARKET IN APAC IN 2020, BY APPLICATION AND COUNTRY, RESPECTIVELY
    4.3 AGRICULTURE IOT MARKET, BY HARDWARE TYPE
           FIGURE 17 SENSORS TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET FOR PRECISION AQUACULTURE DURING FORECAST PERIOD
    4.4 AGRICULTURE IOT MARKET, BY APPLICATION
           FIGURE 18 PRECISION FARMING TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET DURING FORECAST PERIOD
    4.5 AGRICULTURE IOT MARKET, BY FARM SIZE
           FIGURE 19 AGRICULTURE IOT MARKET FOR SMALL FARMS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.6 AGRICULTURE IOT MARKET, BY PRODUCTION PLANNING STAGE
           FIGURE 20 PRODUCTION STAGE TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET DURING FORECAST PERIOD
    4.7 REGIONAL ANALYSIS OF AGRICULTURE IOT MARKET
           FIGURE 21 AMERICAS TO BE LARGEST SHAREHOLDER IN AGRICULTURE IOT MARKET FROM 2021 TO 2026

5 MARKET OVERVIEW (Page No. - 71)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           FIGURE 22 AGRICULTURE IOT MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Strong government support for promoting use of precision farming techniques
                    5.2.1.2 Increasing adoption of IoT and AI for various agricultural applications
                               FIGURE 23 LIVESTOCK RFID TAGS INSTALLED BASE, 2018–2032 (MILLION UNITS)
                    5.2.1.3 Rise in number of industrial-scale indoor farms to meet increasing demand for food, as well as lack of arable land
                               FIGURE 24 POPULATION VS. ARABLE LAND STATISTICS, 1950–2050
                    5.2.1.4 Surging adoption of aquaculture monitoring and feed optimization devices in developing countries
                    5.2.1.5 Increased adoption of VRT, remote sensing, and guidance technologies by farmers worldwide
                    5.2.1.6 Increasing focus on real-time monitoring and early disease detection
                               FIGURE 25 IMPACT ANALYSIS OF DRIVERS ON AGRICULTURE IOT MARKET
           5.2.2 RESTRAINTS
                    5.2.2.1 High upfront cost for deployment of modern agricultural equipment
                               FIGURE 26 PRICE TREND OF AUTOMATED MILKING ROBOTS, (USD THOUSAND), 2017–2025
                    5.2.2.2 Lack of technical knowledge and skills among farmers
                    5.2.2.3 Fragmented agriculture industry
                               FIGURE 27 IMPACT ANALYSIS OF RESTRAINTS ON AGRICULTURE IOT MARKET
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growing adoption of UAVs or drones in agricultural farms
                    5.2.3.2 Rising adoption of livestock monitoring solutions in developing countries
                               TABLE 2 GLOBAL TECHNOLOGY ADOPTION
                               FIGURE 28 GLOBAL MILKING ROBOTS INSTALLED BASE, 2017–2030 (UNITS)
                    5.2.3.3 Growing popularity of poultry robots and BSC smart cameras
                    5.2.3.4 Increasing number of cage-based farms in developing regions such as India, China, and South East Asian countries
                               FIGURE 29 SHARE OF MAJOR CAGE-BASED AQUACULTURE-PRODUCING COUNTRIES, 2018
                               FIGURE 30 AQUACULTURE PRODUCTION EXPECTED TO SURPASS WILD-CAUGHT FISH PRODUCTION BY 2024
                    5.2.3.5 Introduction of agriculture-specific smartphone applications
                               FIGURE 31 IMPACT ANALYSIS OF OPPORTUNITIES ON AGRICULTURE IOT MARKET
           5.2.4 CHALLENGES
                    5.2.4.1 Unavailability of simple and standardized data management and data aggregation tools
                    5.2.4.2 Emergence and re-emergence of diseases and environmental concerns
                               FIGURE 32 IMPACT ANALYSIS OF CHALLENGES ON AGRICULTURE IOT MARKET
    5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
           5.3.1 REVENUE SHIFT & NEW REVENUE POCKETS FOR AGRICULTURE IOT HARDWARE MANUFACTURERS
                    FIGURE 33 REVENUE SHIFT FOR AGRICULTURE IOT MARKET

6 INDUSTRY TRENDS (Page No. - 89)
    6.1 INTRODUCTION
    6.2 VALUE CHAIN ANALYSIS
           FIGURE 34 VALUE CHAIN ANALYSIS: AGRICULTURE IOT MARKET
           6.2.1 MAJOR STAKEHOLDERS IN AGRICULTURE IOT MARKET
           6.2.2 SUPPLY CHAIN ANALYSIS
                    FIGURE 35 SUPPLY CHAIN: AGRICULTURE IOT MARKET
                    TABLE 3 AGRICULTURE IOT MARKET: SUPPLY CHAIN
    6.3 TECHNOLOGY TRENDS
           6.3.1 INTERNET OF THINGS (IOT) SHAPING AGRICULTURE IOT MARKET
           6.3.2 DRONES/UAVS
           6.3.3 AI, AR/VR, AND BLOCKCHAIN IN AQUACULTURE TO ACCELERATE MARKET GROWTH
           6.3.4 USE OF FARM AUTOMATION SOLUTIONS, REMOTELY OPERATED VEHICLES, AND FEEDING ROBOTS TO REDUCE LABOR COSTS
           6.3.5 ADOPTION OF ROBOTIC CAGES AND UNDERWATER DRONES IN AQUACULTURE FARMS
           6.3.6 AI AND BLOCKCHAIN IN LIVESTOCK FARMING
                    FIGURE 36 BLOCKCHAIN AND AI IN PRECISION LIVESTOCK FARMING
           6.3.7 BODY CONDITIONING SCORING (BCS) SYSTEMS
                    TABLE 4 BODY CONDITIONING SCORING PARAMETERS FOR DAIRY COWS
                    TABLE 5 BODY CONDITIONING SCORING SYSTEMS: MAJOR ADVANTAGES
           6.3.8 TECHNOLOGY ADOPTION IN DAIRY FARMS
                    FIGURE 37 MAJOR TECHNOLOGY TRENDS IN DAIRY FARMS
           6.3.9 TECHNOLOGY ADOPTION IN POULTRY FARMS
                    TABLE 6 MAJOR TECHNOLOGY TRENDS IN POULTRY FARMS
           6.3.10 INTEGRATION OF TELEMATICS WITH FOREST MECHANIZATION IN PRECISION FORESTRY
           6.3.11 ADVENT OF LIDAR-FITTED UAVS IN PRECISION FORESTRY
    6.4 AVERAGE SELLING PRICE ANALYSIS
           TABLE 7 MILKING ROBOTS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS 2025
           FIGURE 38 MILKING ROBOTS: AVERAGE SELLING PRICE ANALYSIS, 2016–2025
           TABLE 8 RFID TAGS & READERS: AVERAGE SELLING PRICE ANALYSIS, 2019 VS 2025
           6.4.1 PRICING ANALYSIS: AVERAGE SELLING PRICE (ASP) TREND FOR SENSORS IN PRECISION AQUACULTURE
                    FIGURE 39 AVERAGE SELLING PRICES OF PRECISION AQUACULTURE SENSORS (IN USD)
                    TABLE 9 PRICING ANALYSIS FOR ROV SYSTEM COMPONENTS
                    FIGURE 40 AVERAGE PRECISION FARMING DATA ANALYTICS SERVICE COST PER HECTARE FOR DIFFERENT FARM SIZES IN 2019
    6.5 LIST OF KEY PATENTS AND INNOVATIONS IN AGRICULTURE IOT MARKET, 2015–2020
           FIGURE 41 NUMBER OF PATENTS APPROVED FOR AQUACULTURE TECHNOLOGIES WORLDWIDE, 2015–2020
           FIGURE 42 TOP 10 PATENT-HOLDING COMPANIES FOR SMART FARMING, 2015–2020
           FIGURE 43 NUMBER OF PATENTS APPROVED FOR AGRICULTURE ANALYTICS WORLDWIDE, 2016–2020
           FIGURE 44 REGION-WISE ANALYSIS OF PATENTS FILED BY PLAYERS IN PRECISION FARMING, 2015–2020
           FIGURE 45 REGION-WISE ANALYSIS OF PATENTS FILED BY PLAYERS IN PRECISION LIVESTOCK, 2015–2020
    6.6 TRADE DATA
           TABLE 10 IMPORT DATA FOR VACUUM PUMPS AND FILTRATION SYSTEMS UNDER HS CODE: 8414, 2015–2019 (USD MILLION)
           FIGURE 46 IMPORT VALUES OF VACUUM PUMPS AND FILTRATION SYSTEMS IN MAJOR COUNTRIES, 2015–2019
           TABLE 11 EXPORT DATA OF VACUUM PUMPS AND FILTRATION SYSTEMS UNDER HS CODE: 8414, 2015–2019 (USD MILLION)
           FIGURE 47 EXPORT VALUES OF VACUUM PUMPS AND FILTRATION SYSTEMS IN MAJOR COUNTRIES, 2015–2019
    6.7 TARIFF AND REGULATORY LANDSCAPE
           6.7.1 CARBON POLICY TRENDS IN AGRICULTURE
           6.7.2 GROWING CLIMATE SOLUTIONS ACT
           6.7.3 TARIFF AND REGULATIONS RELATED TO PRECISION FARMING AND SMART GREENHOUSES
                    TABLE 12 TARIFF REGULATIONS: PRECISION FARMING AND SMART GREENHOUSES
           6.7.4 TARIFF AND REGULATIONS RELATED TO PRECISION AQUACULTURE
                    TABLE 13 TARIFF REGULATIONS: PRECISION AQUACULTURE
    6.8 CASE STUDIES: AGRICULTURE IOT MARKET
           6.8.1 INTRODUCTION
           6.8.2 OPEN BLUE
                    TABLE 14 INNOVASEA HELPS OPEN BLUE BECOME LARGEST OPEN-OCEAN FISH FARM IN WORLD
           6.8.3 EARTH OCEAN FARMS
                    TABLE 15 INNOVASEA ENABLES EARTH OCEAN FARMS TO EXPAND PRODUCTION WITH RUGGED EVOLUTION PENS
           6.8.4 ERKO SEAFOOD AS
                    TABLE 16 WITH AKVA GROUP’S EXPERTISE AND QUICK SERVICE, ERKO SEAFOOD AS FOUND REAL DEAL
           6.8.5 ALLFLEX: LIVESTOCK MONITORING SOLUTION IMPROVING BREEDING RATE IN DAIRY COWS
                    TABLE 17 ALLFLEX SOLUTIONS FOR DAIRY COW HEALTH MONITORING
           6.8.6 LATIUM: RANCHERS IN GHANA REMOTELY MONITORING THEIR LIVESTOCK
                    TABLE 18 LATIUM: LIVESTOCK MONITORING SOLUTION
           6.8.7 ONNECTERRA: AI-BASED SOLUTION IMPROVING FARM PRODUCTIVITY
                    TABLE 19 CONNECTERRA INTELLIGENT DAIRY FARM SOLUTIONS
           6.8.8 WHITESIDES
                    TABLE 20 WHITESIDES USED AGWORLD SOFTWARE PLATFORM FOR RECORD-KEEPING AND CUSTOM FERTILIZER APPLICATION
           6.8.9 ANNA BINNA FARMS
                    TABLE 21 ANNA BINNA FARMS USED AGWORLD SOFTWARE PLATFORM FOR FARM RECORD KEEPING SYSTEM AND FOR PRE-EMERGENT HERBICIDES
           6.8.10 MURDOCH FAMILY
                    TABLE 22 WITH AGWORLD SOFTWARE PLATFORM, MURDOCH FAMILY DIGITIZED THEIR FARM MANAGEMENT FOR IMPROVED ACCURACY AND PROFITABILITY
           6.8.11 LILLIPUT AG
                    TABLE 23 LILLIPUT AG AIMS TO IMPROVE PLANNING BY CAPTURING DATA WITH AGWORLD PLATFORM
    6.9 PORTER’S FIVE FORCES ANALYSIS
           FIGURE 48 AGRICULTURE IOT MARKET: PORTER’S FIVE FORCES ANALYSIS
           TABLE 24 AGRICULTURE IOT MARKET: PORTER’S FIVE FORCES ANALYSIS
           6.9.1 THREAT OF NEW ENTRANTS
           6.9.2 THREAT OF SUBSTITUTES
           6.9.3 BARGAINING POWER OF SUPPLIERS
           6.9.4 BARGAINING POWER OF BUYERS
           6.9.5 INTENSITY OF COMPETITIVE RIVALRY
    6.10 AGRICULTURE IOT MARKET ECOSYSTEM
           FIGURE 49 AGRICULTURE IOT ECOSYSTEM

7 AGRICULTURE IOT MARKET, BY HARDWARE TYPE (Page No. - 124)
    7.1 INTRODUCTION
    7.2 PRECISION FARMING HARDWARE
           TABLE 25 PRECISION FARMING HARDWARE MARKET, BY HARDWARE TYPE, 2017–2020 (USD MILLION)
           TABLE 26 PRECISION FARMING HARDWARE MARKET, BY HARDWARE TYPE, 2021–2026 (USD MILLION)
           7.2.1 AUTOMATION AND CONTROL SYSTEMS
                    FIGURE 50 DRONES/UAVS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 27 PRECISION FARMING HARDWARE MARKET FOR AUTOMATION & CONTROL SYSTEMS, BY DEVICE TYPE, 2017–2020 (USD MILLION)
                    TABLE 28 PRECISION FARMING HARDWARE MARKET FOR AUTOMATION & CONTROL SYSTEMS, BY DEVICE TYPE, 2021–2026 (USD MILLION)
                    TABLE 29 PRECISION FARMING HARDWARE MARKET FOR AUTOMATION & CONTROL SYSTEMS, BY REGION, 2017–2020 (USD MILLION)
                    TABLE 30 PRECISION FARMING HARDWARE MARKET FOR AUTOMATION & CONTROL SYSTEMS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.1 Drones/UAVs
                               7.2.1.1.1 Drones are being widely implemented for identification of pests and weeds
                                             TABLE 31 PRECISION FARMING HARDWARE MARKET FOR DRONES/UAVS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 32 PRECISION FARMING HARDWARE MARKET FOR DRONES/UAVS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.2 Irrigation controllers
                               7.2.1.2.1 Concerns pertaining to efficient use of water to propel demand for irrigation controllers
                                             TABLE 33 PRECISION FARMING HARDWARE MARKET FOR IRRIGATION CONTROLLERS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 34 PRECISION FARMING HARDWARE MARKET FOR IRRIGATION CONTROLLER, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.3 Global Positioning System (GPS)/GNSS devices
                               7.2.1.3.1 GPS/GNSS devices are being extensively used for variable rate applications
                                             TABLE 35 PRECISION FARMING HARDWARE MARKET FOR GPS/GNSS DEVICES, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 36 PRECISION FARMING HARDWARE MARKET FOR GPS/GNSS DEVICES, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.4 Flow and application control devices
                               7.2.1.4.1 Flow and application control devices facilitate even application of agricultural chemicals
                                             TABLE 37 PRECISION FARMING HARDWARE MARKET FOR FLOW & APPLICATION CONTROL DEVICES, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 38 PRECISION FARMING HARDWARE MARKET FOR FLOW & APPLICATION CONTROL DEVICES, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.5 Guidance and steering systems
                               7.2.1.5.1 Automated guidance and steering systems are used in tractors and agriculture robots
                                             TABLE 39 PRECISION FARMING HARDWARE MARKET FOR GUIDANCE & STEERING SYSTEMS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 40 PRECISION FARMING HARDWARE MARKET FOR GUIDANCE AND STEERING SYSTEMS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.6 Handheld mobile devices/handheld computers
                               7.2.1.6.1 Handheld mobile devices and computers can perform variety of functions and offer operational flexibility
                                             TABLE 41 PRECISION FARMING HARDWARE MARKET FOR HANDHELD MOBILE DEVICES /HANDHELD COMPUTERS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 42 PRECISION FARMING HARDWARE MARKET FOR HANDHELD MOBILE DEVICES/HANDHELD COMPUTERS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.7 Displays
                               7.2.1.7.1 Display devices provide user interface to operators and farmers
                                             TABLE 43 PRECISION FARMING HARDWARE MARKET FOR DISPLAYS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 44 PRECISION FARMING HARDWARE MARKET FOR DISPLAYS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.1.8 Others
                               TABLE 45 PRECISION FARMING HARDWARE MARKET FOR OTHER AUTOMATION & CONTROL SYSTEMS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 46 PRECISION FARMING HARDWARE MARKET FOR OTHER AUTOMATION & CONTROL SYSTEMS, BY REGION, 2021–2026 (USD MILLION)
           7.2.2 SENSING AND MONITORING DEVICES
                    FIGURE 51 YIELD MONITORS TO HOLD LARGEST SIZE OF SENSING & MONITORING DEVICES MARKET IN 2026
                    TABLE 47 PRECISION FARMING HARDWARE MARKET FOR SENSING & MONITORING DEVICES, BY DEVICE TYPE, 2017–2020 (USD MILLION)
                    TABLE 48 PRECISION FARMING HARDWARE MARKET FOR SENSING & MONITORING DEVICES, BY DEVICE TYPE, 2021–2026 (USD MILLION)
                    TABLE 49 PRECISION FARMING HARDWARE MARKET FOR SENSING & MONITORING DEVICES , BY REGION, 2017–2020 (USD MILLION)
                    TABLE 50 PRECISION FARMING HARDWARE MARKET FOR SENSING & MONITORING DEVICES , BY REGION, 2021–2026 (USD MILLION)
                    7.2.2.1 Yield monitors
                               7.2.2.1.1 Yield monitors to continue to hold largest market share from 2021 to 2026
                                             TABLE 51 PRECISION FARMING AGRICULTURE IOT MARKET FOR YIELD MONITORS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 52 PRECISION FARMING AGRICULTURE IOT MARKET FOR YIELD MONITORS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.2.2 Soil sensors
                               7.2.2.2.1 Soil sensors provide real-time data on various soil properties
                                             TABLE 53 PRECISION FARMING AGRICULTURE IOT MARKET FOR SOIL SENSORS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 54 PRECISION FARMING AGRICULTURE IOT MARKET FOR SOIL SENSORS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.2.3 Water sensors
                               7.2.2.3.1 Scarcity of water to increase demand for water sensors in coming years
                                             TABLE 55 PRECISION FARMING AGRICULTURE IOT MARKET FOR WATER SENSORS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 56 PRECISION FARMING AGRICULTURE IOT MARKET FOR WATER SENSORS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.2.4 Climate sensors
                               7.2.2.4.1 Uncertainties related to weather and climate to propel demand for climate sensors
                                             TABLE 57 PRECISION FARMING AGRICULTURE IOT MARKET FOR CLIMATE SENSORS, BY REGION, 2017–2020 (USD MILLION)
                                             TABLE 58 PRECISION FARMING AGRICULTURE IOT MARKET FOR CLIMATE SENSORS, BY REGION, 2021–2026 (USD MILLION)
                    7.2.2.5 Others
                               TABLE 59 PRECISION FARMING AGRICULTURE IOT MARKET FOR OTHERS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 60 PRECISION FARMING AGRICULTURE IOT MARKET FOR OTHERS, BY REGION, 2021–2026 (USD MILLION)
    7.3 PRECISION FORESTRY HARDWARE
           TABLE 61 PRECISION FORESTRY HARDWARE MARKET, BY HARDWARE TYPE, 2017–2020 (USD MILLION)
           FIGURE 52 UAVS/DRONES TO REGISTER HIGHEST CAGR IN PRECISION FORESTRY HARDWARE MARKET FROM 2021 TO 2026
           TABLE 62 PRECISION FORESTRY HARDWARE MARKET, BY HARDWARE TYPE, 2021–2026 (USD MILLION)
           7.3.1 HARVESTERS AND FORWARDERS
                    7.3.1.1 Harvesters and forwarders held largest market share in 2020
           7.3.2 UAVS/DRONES
                    7.3.2.1 UAVs/drones to register highest CAGR during forecast period
           7.3.3 GPS
                    7.3.3.1 GPS is predominantly used for fire prevention, boundary determination, and aerial spraying in precision forestry
           7.3.4 CAMERAS
                    7.3.4.1 Video cameras are used in surveillance of forests for prevention of fires and illegal logging
           7.3.5 RADIO-FREQUENCY IDENTIFICATION (RFID) AND SENSORS
                    7.3.5.1 RFID tags and sensors play a major role in prevention of illegal cutting and smuggling of precious trees
           7.3.6 VARIABLE RATE CONTROLLERS
                    7.3.6.1 Increasing adoption of site-specific vegetation management expected to fuel demand for variable rate controllers
           7.3.7 OTHERS
    7.4 LIVESTOCK MONITORING HARDWARE
           TABLE 63 PRECISION LIVESTOCK MONITORING HARDWARE MARKET, BY HARDWARE TYPE, 2017–2020 (USD MILLION)
           FIGURE 53 SENSORS TO GROW AT HIGHEST CAGR IN PRECISION LIVESTOCK FARMING AGRICULTURE IOT MARKET DURING FORECAST PERIOD
           TABLE 64 LIVESTOCK MONITORING HARDWARE MARKET, BY HARDWARE TYPE, 2021–2026 (USD MILLION)
           TABLE 65 LIVESTOCK MONITORING HARDWARE MARKET, BY REGION, 2017–2020 (USD MILLION)
           TABLE 66 LIVESTOCK MONITORING HARDWARE MARKET, BY REGION, 2021–2026 (USD MILLION)
           7.4.1 ROBOTIC HARDWARE
                    7.4.1.1 Increasing herd size of dairy farms and rising labor costs expected to propel growth of robotics hardware component
                               TABLE 67 LIVESTOCK MONITORING HARDWARE MARKET FOR ROBOTIC HARDWARE, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 68 LIVESTOCK MONITORING HARDWARE MARKET FOR ROBOTIC HARDWARE, BY REGION, 2021–2026 (USD MILLION)
           7.4.2 RFID TAGS AND READERS
                    7.4.2.1 Rising adoption of low-frequency RFID tags for identification and tracking of livestock to drive market growth
                               TABLE 69 LIVESTOCK MONITORING HARDWARE MARKET FOR RFID TAGS & READERS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 70 LIVESTOCK MONITORING HARDWARE MARKET FOR RFID TAGS & READERS, BY REGION, 2021–2026 (USD MILLION)
           7.4.3 SENSORS
                    7.4.3.1 Rising popularity of sensors among small farmers to drive market growth
                               TABLE 71 LIVESTOCK MONITORING MARKET FOR SENSORS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 72 LIVESTOCK MONITORING MARKET FOR SENSORS, BY REGION,  2021–2026 (USD MILLION)
           7.4.4 CAMERAS
                    7.4.4.1 Growing awareness among ranchers for remote monitoring of livestock expected to propel adoption of cameras
                               TABLE 73 LIVESTOCK MONITORING MARKET FOR CAMERAS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 74 LIVESTOCK MONITORING MARKET FOR CAMERAS, BY REGION, 2021–2026 (USD MILLION)
           7.4.5 GPS
                    7.4.5.1 Surging demand for livestock location tracking is major factor driving growth of GPS market
                               TABLE 75 LIVESTOCK MONITORING MARKET FOR GPS, BY REGION, 2017–2020 (USD MILLION)
                               TABLE 76 LIVESTOCK MONITORING MARKET FOR GPS, BY REGION, 2021–2026 (USD MILLION)
           7.4.6 OTHERS
                    TABLE 77 LIVESTOCK MONITORING MARKET FOR OTHERS, BY REGION, 2017–2020 (USD MILLION)
                    TABLE 78 LIVESTOCK MONITORING MARKET FOR OTHERS, BY REGION, 2021–2026 (USD MILLION)
    7.5 PRECISION AQUACULTURE HARDWARE
           TABLE 79 PRECISION AQUACULTURE HARDWARE MARKET, BY HARDWARE TYPE, 2017–2020 (USD MILLION)
           FIGURE 54 SENSORS TO HOLD LARGEST SIZE OF PRECISION AQUACULTURE HARDWARE MARKET IN 2021
           TABLE 80 PRECISION AQUACULTURE HARDWARE MARKET, BY HARDWARE TYPE, 2021–2026 (USD MILLION)
           TABLE 81 PRECISION AQUACULTURE HARDWARE MARKET, BY SENSOR TYPE, 2017–2020 (USD MILLION)
           TABLE 82 PRECISION AQUACULTURE HARDWARE MARKET, BY SENSOR TYPE, 2021–2026 (USD MILLION)
           TABLE 83 PRECISION AQUACULTURE HARDWARE MARKET, BY SENSOR TYPE, 2017–2020 (MILLION UNITS)
           TABLE 84 PRECISION AQUACULTURE HARDWARE MARKET, BY SENSOR TYPE, 2021–2026 (MILLION UNITS)
           7.5.1 SENSORS
                    7.5.1.1 Temperature and environmental sensors
                               7.5.1.1.1 Increasing demand for temperature and environmental sensors for monitoring fish pens and cages in widely varying sea conditions likely to foster market growth
                    7.5.1.2 pH and dissolved oxygen sensors
                               7.5.1.2.1 Growing need to monitor dissolved oxygen content to boost deployment of pH and dissolved oxygen sensors in aquaculture farms
                    7.5.1.3 Electrical Conductivity (EC) sensors
                               7.5.1.3.1 EC sensors to witness increased adoption in RAS and pond-based aquaculture farms
                    7.5.1.4 Others
           7.5.2 CAMERA SYSTEMS
                    7.5.2.1 Rising adoption of smart HD and 4K camera systems in aquaculture farms to augment market growth
           7.5.3 CONTROL SYSTEMS
                    7.5.3.1 Adoption of various automated devices in aquaculture farming to raise demand for control systems in coming years
           7.5.4 OTHERS
    7.6 SMART GREENHOUSE HARDWARE
           TABLE 85 SMART GREENHOUSE HARDWARE MARKET, BY HARDWARE TYPE, 2017–2020 (USD MILLION)
           FIGURE 55 LED GROW LIGHTS TO GROW AT HIGHEST RATE FROM 2020 TO 2026
           TABLE 86 SMART GREENHOUSE HARDWARE MARKET, BY HARDWARE TYPE, 2021–2026 (USD MILLION)
           7.6.1 HVAC SYSTEMS
                    7.6.1.1 HVAC systems provide improved indoor environment in smart greenhouses
           7.6.2 LED GROW LIGHTS
                    7.6.2.1 LED grow lights enhance operational efficiency and reduce energy consumption in smart greenhouses
           7.6.3 IRRIGATION SYSTEMS
                    7.6.3.1 Irrigation systems ensure optimum, timely watering of each zone in greenhouses
           7.6.4 MATERIAL HANDLING EQUIPMENT
                    7.6.4.1 Material handling equipment help in reducing plant handling costs
           7.6.5 VALVES AND PUMPS
                    7.6.5.1 Valves and pumps help in proper distribution of water in various zones of greenhouses
           7.6.6 CONTROL SYSTEMS
                    7.6.6.1 Control systems in smart greenhouses make operations easy
           7.6.7 SENSORS AND CAMERAS
                    7.6.7.1 Sensors provide quantitative information to guide cultivators and enable automated decision-making related to crop cultivation
    7.7 OTHER AGRICULTURE HARDWARE

8 AGRICULTURE IOT MARKET, BY FARM PRODUCTION PLANNING STAGE (Page No. - 166)
    8.1 INTRODUCTION
           TABLE 87 AGRICULTURE IOT MARKET, BY FARM PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
           FIGURE 56 PRODUCTION PLANNING STAGE TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET DURING FORECAST PERIOD
           TABLE 88 AGRICULTURE IOT MARKET, BY FARM PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
    8.2 PRE-PRODUCTION PLANNING
           8.2.1 IN PRE-PRODUCTION PLANNING, AGRICULTURE IOT HARDWARE DEVICES ARE USED TO IDENTIFY AREAS IN FARMS SUITABLE FOR CULTIVATION
                    TABLE 89 AGRICULTURE IOT MARKET FOR PRE-PRODUCTION PLANNING, BY REGION, 2017–2020 (USD MILLION)
                    FIGURE 57 AMERICAS TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET FOR PRE-PRODUCTION PLANNING DURING FORECAST PERIOD
                    TABLE 90 AGRICULTURE IOT MARKET FOR PRE-PRODUCTION PLANNING, BY REGION, 2021–2026 (USD MILLION)
    8.3 PRODUCTION PLANNING
           8.3.1 IN PRODUCTION STAGE, AGRICULTURE IOT HARDWARE DEVICES ARE USED TO MONITOR CROPS AND PRODUCTION PROCESSES TO IMPROVE PRODUCTIVITY AND REDUCE COSTS
                    TABLE 91 AGRICULTURE IOT MARKET FOR PRODUCTION PLANNING, BY REGION, 2017–2020 (USD MILLION)
                    FIGURE 58 AGRICULTURE IOT MARKET FOR PRODUCTION PLANNING TO REGISTER HIGHEST CAGR IN APAC DURING FORECAST PERIOD
                    TABLE 92 AGRICULTURE IOT MARKET PRODUCTION PLANNING, BY REGION, 2021–2026 (USD MILLION)
    8.4 POST-PRODUCTION PLANNING
           8.4.1 AGRICULTURE IOT HARDWARE DEVICES REDUCE MANUAL ERROR AND ASSIST FARM OWNERS IN STRATEGIC POST-PRODUCTION PLANNING
                    TABLE 93 AGRICULTURE IOT MARKET FOR POST-PRODUCTION PLANNING, BY REGION, 2017–2020 (USD MILLION)
                    FIGURE 59 AGRICULTURE IOT MARKET FOR POST-PRODUCTION PLANNING TO CAPTURE HIGHEST CAGR IN APAC DURING FORECAST PERIOD
                    TABLE 94 AGRICULTURE IOT MARKET FOR POST-PRODUCTION PLANNING, BY REGION, 2021–2026 (USD MILLION)

9 AGRICULTURE IOT MARKET, BY FARM SIZE (Page No. - 174)
    9.1 INTRODUCTION
           TABLE 95 AGRICULTURE IOT MARKET, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 60 MID-SIZED FARMS TO HOLD LARGEST SIZE OF AGRICULTURE IOT MARKET FROM 2021 TO 2026
           TABLE 96 AGRICULTURE IOT MARKET, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 97 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 61 MID-SIZED FARMS TO HOLD LARGEST SIZE OF PRECISION FARMING AGRICULTURE IOT MARKET FROM 2021 TO 2026
           TABLE 98 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 99 AGRICULTURE IOT MARKET FOR LIVESTOCK MONITORING, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 62 LIVESTOCK MONITORING AGRICULTURE IOT MARKET FOR SMALL FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
           TABLE 100 AGRICULTURE IOT MARKET FOR LIVESTOCK MONITORING, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 101 AGRICULTURE IOT MARKET FOR AQUACULTURE, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 63 PRECISION AQUACULTURE AGRICULTURE IOT MARKET FOR LARGE FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
           TABLE 102 AGRICULTURE IOT MARKET FOR AQUACULTURE, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 103 AGRICULTURE IOT MARKET FOR SMART GREENHOUSES, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 64 SMART GREENHOUSE AGRICULTURE IOT MARKET FOR SMALL FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
           TABLE 104 AGRICULTURE IOT MARKET FOR SMART GREENHOUSES, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 105 AGRICULTURE IOT MARKET FOR FORESTRY, BY FARM SIZE, 2017–2020 (USD MILLION)
           FIGURE 65 PRECISION FORESTRY AGRICULTURE IOT MARKET FOR SMALL FARMS TO GROW AT HIGHEST CAGR FROM 2021 TO 2026
           TABLE 106 AGRICULTURE IOT MARKET FOR FORESTRY, BY FARM SIZE, 2021–2026 (USD MILLION)
           TABLE 107 AGRICULTURE IOT MARKET FOR OTHERS, BY FARM SIZE, 2017–2020 (USD MILLION)
           TABLE 108 AGRICULTURE IOT MARKET FOR OTHERS, BY FARM SIZE, 2021–2026 (USD MILLION)
    9.2 SMALL FARMS
           9.2.1 SMALL FARMS TO WITNESS HIGHEST GROWTH RATE IN AGRICULTURE IOT MARKET DURING FORECAST PERIOD
    9.3 MID-SIZED FARMS
           9.3.1 MID-SIZED FARMS ARE CONSTANTLY ADOPTING MONITORING SOLUTIONS
    9.4 LARGE FARMS
           9.4.1 LARGE FARMS TO GROW SIGNIFICANTLY FROM 2021 TO 2026

10 AGRICULTURE IOT MARKET, BY APPLICATION (Page No. - 184)
     10.1 INTRODUCTION
               FIGURE 66 PRECISION FARMING APPLICATIONS TO ACCOUNT FOR LARGEST SIZE OF AGRICULTURE IOT MARKET DURING FORECAST PERIOD
               TABLE 109 AGRICULTURE IOT MARKET, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 110 AGRICULTURE IOT MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
     10.2 PRECISION FARMING
               TABLE 111 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 112 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 113 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY REGION, 2017–2020 (USD MILLION)
               TABLE 114 AGRICULTURE IOT MARKET FOR PRECISION FARMING, BY REGION, 2021–2026 (USD MILLION)
             10.2.1 YIELD MONITORING AND HARVESTING
                       10.2.1.1 Yield monitoring and harvesting facilitate allocation of resources according to specific needs of plants
             10.2.2 SOIL AND CROP MONITORING
                       10.2.2.1 Soil and crop monitoring enable farmers to collect data pertaining to soil moisture content, crop image analytics, and plant stress level and predict crop yield on per hectare basis
             10.2.3 FIELD MAPPING
                       10.2.3.1 Filed mapping helps farmers attain objectives related to crop productivity
                                   10.2.3.1.1 Boundary mapping
                                   10.2.3.1.2 Drainage mapping
             10.2.4 VARIABLE RATE APPLICATION
                       10.2.4.1 Variable rate application helps in optimizing crop inputs
             10.2.5 IRRIGATION AND WEATHER FORECASTING
                       10.2.5.1 Weather forecasting and real-time irrigation scheduling help farmers in undertaking precautionary measures for protecting farms from natural calamities
             10.2.6 INVENTORY MANAGEMENT
                       10.2.6.1 Inventory management includes keeping details of all inventory movements to ensure a proper mix of inventory
             10.2.7 FARM LABOR MANAGEMENT
                       10.2.7.1 Farm labor management facilitates effective handling of labor
             10.2.8 EQUIPMENT MONITORING AND TELEMATICS
                       10.2.8.1 Agriculture IoT hardware devices/solutions can help to schedule various maintenance activities and automate multiple processes that incur costs
             10.2.9 OTHERS
     10.3 PRECISION FORESTRY
               TABLE 115 AGRICULTURE IOT MARKET FOR PRECISION FORESTRY, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 116 AGRICULTURE IOT MARKET FOR PRECISION FORESTRY, BY APPLICATION, 2021–2026 (USD MILLION)
             10.3.1 GENETICS AND NURSERIES
                       10.3.1.1 UAVs/drones are increasingly being used for tree plantation
             10.3.2 SILVICULTURE AND FIRE MANAGEMENT
                       10.3.2.1 High adoption of wireless sensor network-based forest fire detection systems to propel market growth for silviculture and fire management applications
             10.3.3 HARVESTING MANAGEMENT
                       10.3.3.1 Harvesting management applications to hold largest market share during forecast period
             10.3.4 INVENTORY AND LOGISTICS MANAGEMENT
                       10.3.4.1 Inventory and logistics management enable quick reporting and data processing
                                   TABLE 117 AGRICULTURE IOT MARKET FOR PRECISION FORESTRY, BY REGION, 2017–2020 (USD MILLION)
                                   TABLE 118 AGRICULTURE IOT MARKET FOR PRECISION FORESTRY, BY REGION, 2021–2026 (USD MILLION)
     10.4 LIVESTOCK MONITORING
               TABLE 119 AGRICULTURE IOT MARKET FOR LIVESTOCK MONITORING, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 120 AGRICULTURE IOT MARKET FOR LIVESTOCK MONITORING, BY APPLICATION, 2021–2026 (USD MILLION)
             10.4.1 MILK HARVESTING
                       10.4.1.1 Rising demand for milking robots on dairy farms to propel growth of market for milk harvesting application
             10.4.2 FEEDING MANAGEMENT
                       10.4.2.1 Increasing awareness among dairy farm owners for accurate diet formulation to fuel demand for IoT-based feeding management solutions
             10.4.3 LIVESTOCK BEHAVIOR AND HEALTH MONITORING
                       10.4.3.1 Increasing awareness among ranchers and dairy farm owners about animal health to boost adoption of behavior and health monitoring applications
             10.4.4 OTHERS
     10.5 PRECISION AQUACULTURE
               TABLE 121 AGRICULTURE IOT MARKET FOR PRECISION AQUACULTURE, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 122 AGRICULTURE IOT MARKET FOR PRECISION AQUACULTURE, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 123 AGRICULTURE IOT MARKET FOR PRECISION AQUACULTURE, BY FARM TYPE, 2017–2020 (USD MILLION)
               TABLE 124 AGRICULTURE IOT MARKET FOR PRECISION AQUACULTURE, BY FARM TYPE, 2021–2026 (USD MILLION)
             10.5.1 FEED MANAGEMENT
                       10.5.1.1 Feed management application held largest share of agriculture IoT market for precision aquaculture in 2020
             10.5.2 FARM MONITORING, CONTROL, AND SURVEILLANCE
                       10.5.2.1 Growing focus on increasing farm productivity and early detection of diseases among aquatic species to propel adoption of IoT hardware devices
             10.5.3 YIELD ANALYSIS AND MEASUREMENT
                       10.5.3.1 Increasing focus on higher yields and ROI to drive demand for IoT-based yield analysis and measurement tools
             10.5.4 OTHERS
     10.6 SMART GREENHOUSE
               TABLE 125 AGRICULTURE IOT MARKET FOR SMART GREENHOUSE, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 126 AGRICULTURE IOT MARKET FOR SMART GREENHOUSE, BY APPLICATION, 2021–2026 (USD MILLION)
             10.6.1 HVAC MANAGEMENT
                       10.6.1.1 HVAC management helps to improve indoor environment in smart greenhouses
             10.6.2 YIELD MONITORING AND HARVESTING
                       10.6.2.1 Agriculture IoT hardware devices help in crop health and yield monitoring for undertaking strategic decisions
             10.6.3 WATER & FERTILIZER MANAGEMENT
                       10.6.3.1 IoT-based hardware devices facilitate controlled release of fertilizers
             10.6.4 OTHERS
     10.7 OTHER APPLICATIONS
               TABLE 127 AGRICULTURE IOT MARKET FOR OTHER APPLICATIONS, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 128 AGRICULTURE IOT MARKET FOR OTHER APPLICATIONS, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 129 AGRICULTURE IOT MARKET FOR OTHER APPLICATIONS, BY REGION, 2017–2020 (USD MILLION)
               TABLE 130 AGRICULTURE IOT MARKET FOR OTHER APPLICATIONS, BY REGION, 2021–2026 (USD MILLION)

11 AGRICULTURE IOT MARKET, BY GEOGRAPHY (Page No. - 206)
     11.1 INTRODUCTION
               FIGURE 67 AGRICULTURE IOT MARKET TO REGISTER SIGNIFICANTLY HIGH CAGR IN COUNTRIES IN APAC DURING FORECAST PERIOD
               TABLE 131 AGRICULTURE IOT MARKET, BY REGION, 2017–2020 (USD MILLION)
               TABLE 132 AGRICULTURE IOT MARKET, BY REGION, 2021–2026 (USD MILLION)
     11.2 AMERICAS
               TABLE 133 AGRICULTURE IOT MARKET IN AMERICAS, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 134 AGRICULTURE IOT MARKET IN AMERICAS, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 135 AGRICULTURE IOT MARKET IN AMERICAS, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
               TABLE 136 AGRICULTURE IOT MARKET IN AMERICAS, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
               TABLE 137 AGRICULTURE IOT MARKET IN AMERICAS, BY REGION, 2017–2020 (USD MILLION)
               TABLE 138 AGRICULTURE IOT MARKET IN AMERICAS, BY REGION, 2021–2026 (USD MILLION)
             11.2.1 NORTH AMERICA
                       FIGURE 68 SNAPSHOT: AGRICULTURE IOT MARKET IN NORTH AMERICA
                       TABLE 139 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY APPLICATION, 2017–2020 (USD MILLION)
                       TABLE 140 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY APPLICATION, 2021–2026 (USD MILLION)
                       TABLE 141 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
                       TABLE 142 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
                       TABLE 143 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
                       TABLE 144 AGRICULTURE IOT MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2026 (USD MILLION)
                       11.2.1.1 US
                                   11.2.1.1.1 Higher adoption of advanced technologies and presence of prominent market players are fostering growth of agriculture IoT market in US
                       11.2.1.2 Canada
                                   11.2.1.2.1 Canada to register highest CAGR in agriculture IoT market in North America during forecast period
                       11.2.1.3 Mexico
                                   11.2.1.3.1 Support from government and growing cattle industry in Mexico to support agriculture IoT market growth
             11.2.2 SOUTH AMERICA
                       FIGURE 69 SNAPSHOT: AGRICULTURE IOT MARKET IN SOUTH AMERICA
                       TABLE 145 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY APPLICATION, 2017–2020 (USD MILLION)
                       TABLE 146 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY APPLICATION, 2021–2026 (USD MILLION)
                       TABLE 147 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
                       TABLE 148 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
                       TABLE 149 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY COUNTRY,  2017–2020 (USD MILLION)
                       TABLE 150 AGRICULTURE IOT MARKET IN SOUTH AMERICA, BY COUNTRY, 2021–2026 (USD MILLION)
                       11.2.2.1 Brazil
                                   11.2.2.1.1 Rapid adoption of precision farming technology by commercial farmers to provide opportunities for market growth in Brazil
                       11.2.2.2 Argentina
                                   11.2.2.2.1 Established agricultural machinery market in Argentina is conducive to growth of agriculture IoT market
                       11.2.2.3 Rest of South America
     11.3 EUROPE
               FIGURE 70 SNAPSHOT: AGRICULTURE IOT MARKET IN EUROPE
               TABLE 151 AGRICULTURE IOT MARKET IN EUROPE, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 152 AGRICULTURE IOT MARKET IN EUROPE, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 153 AGRICULTURE IOT MARKET IN EUROPE, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
               TABLE 154 AGRICULTURE IOT MARKET IN EUROPE, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
               TABLE 155 AGRICULTURE IOT MARKET IN EUROPE, BY COUNTRY, 2017–2020 (USD MILLION)
               TABLE 156 AGRICULTURE IOT MARKET IN EUROPE, BY COUNTRY,  2021–2026 (USD MILLION)
             11.3.1 GERMANY
                       11.3.1.1 Germany to hold largest size of agriculture IoT market in Europe during forecast period
             11.3.2 UK
                       11.3.2.1 Reduced technology cost in UK is leading to high adoption of agriculture IoT technologies
             11.3.3 FRANCE
                       11.3.3.1 Growing number of livestock farms to drive growth of agriculture IoT market in France
             11.3.4 ITALY
                       11.3.4.1 Increasing popularity of precision farming techniques in Italy to propel growth of agriculture IoT market
             11.3.5 NETHERLANDS
                       11.3.5.1 Agriculture IoT market in Netherlands expected to grow at highest CAGR in Europe during forecast period
             11.3.6 REST OF EUROPE
     11.4 APAC
               FIGURE 71 SNAPSHOT: AGRICULTURE IOT MARKET IN APAC
               TABLE 157 AGRICULTURE IOT MARKET IN APAC, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 158 AGRICULTURE IOT MARKET IN APAC, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 159 AGRICULTURE IOT MARKET IN APAC, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
               TABLE 160 AGRICULTURE IOT MARKET IN APAC, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
               TABLE 161 AGRICULTURE IOT MARKET IN APAC, BY COUNTRY, 2017–2020 (USD MILLION)
               TABLE 162 AGRICULTURE IOT MARKET IN APAC, BY COUNTRY, 2021–2026 (USD MILLION)
             11.4.1 CHINA
                       11.4.1.1 Population growth in China to boost adoption of agriculture IoT devices
             11.4.2 JAPAN
                       11.4.2.1 Rise in urban farming practices to favor growth of agriculture IoT market
             11.4.3 AUSTRALIA
                       11.4.3.1 Australia held largest size of agriculture IoT market in APAC in 2020
             11.4.4 INDIA
                       11.4.4.1 India to be fastest-growing agriculture IoT market in APAC from 2021 to 2026
             11.4.5 SOUTH KOREA
                       11.4.5.1 Significant investments in aquaculture industry to drive agriculture IoT market growth
             11.4.6 REST OF APAC
     11.5 REST OF THE WORLD
               TABLE 163 AGRICULTURE IOT MARKET IN ROW, BY APPLICATION, 2017–2020 (USD MILLION)
               TABLE 164 AGRICULTURE IOT MARKET IN ROW, BY APPLICATION, 2021–2026 (USD MILLION)
               TABLE 165 AGRICULTURE IOT MARKET IN ROW, BY PRODUCTION PLANNING STAGE, 2017–2020 (USD MILLION)
               TABLE 166 AGRICULTURE IOT MARKET IN ROW, BY PRODUCTION PLANNING STAGE, 2021–2026 (USD MILLION)
               TABLE 167 AGRICULTURE IOT MARKET IN ROW, BY REGION, 2017–2020 (USD MILLION)
               TABLE 168 AGRICULTURE IOT MARKET IN ROW, BY REGION, 2021–2026 (USD MILLION)
             11.5.1 AFRICA
                       11.5.1.1 Livestock monitoring application in Africa expected to grow at significant rate
             11.5.2 MIDDLE EAST
                       11.5.2.1 Focus on water conservation is supporting adoption of agriculture IoT technologies in Middle East

12 COMPETITIVE LANDSCAPE (Page No. - 240)
     12.1 OVERVIEW
               FIGURE 72 PRODUCT LAUNCHES: KEY STRATEGIES ADOPTED BY MAJOR PLAYERS FROM 2017 TO 2020
     12.2 MARKET SHARE ANALYSIS
               TABLE 169 AGRICULTURE IOT MARKET: DEGREE OF COMPETITION (2020)
     12.3 REVENUE ANALYSIS
               FIGURE 73 HISTORICAL REVENUE ANALYSIS (PRECISION FARMING SEGMENT) OF MAJOR COMPANIES OFFERING AGRICULTURE IOT DEVICES & EQUIPMENT, 2015–2019 (USD MILLION)
               FIGURE 74 HISTORICAL REVENUE ANALYSIS (AQUACULTURE SEGMENT) OF MAJOR COMPANIES OFFERING AGRICULTURE IOT DEVICES & EQUIPMENT, 2015–2019 (USD MILLION)
     12.4 COMPANY EVALUATION MATRIX
             12.4.1 STAR
             12.4.2 PERVASIVE
             12.4.3 EMERGING LEADER
             12.4.4 PARTICIPANT
                       FIGURE 75 AGRICULTURE IOT MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2020
     12.5 SME EVALUATION MATRIX FOR AGRICULTURE IOT MARKET, 2020
             12.5.1 PROGRESSIVE COMPANY
             12.5.2 RESPONSIVE COMPANY
             12.5.3 DYNAMIC COMPANY
             12.5.4 STARTING BLOCK
                       FIGURE 76 AGRICULTURE IOT MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, SME/START-UP ECOSYSTEM, 2020
                       TABLE 170 COMPANY FOOTPRINT
                       TABLE 171 COMPANY APPLICATION FOOTPRINT
                       TABLE 172 COMPANY PRODUCT FOOTPRINT
                       TABLE 173 COMPANY REGION FOOTPRINT
     12.6 COMPETITIVE SITUATION AND TRENDS
             12.6.1 PRODUCT LAUNCHES AND DEVELOPMENTS
                       TABLE 174 PRODUCT LAUNCHES & DEVELOPMENTS, 2017–2020
             12.6.2 DEALS
                       TABLE 175 AGRICULTURE IOT MARKET: DEALS, JANUARY 2017–DECEMBER 2020

13 COMPANY PROFILES (Page No. - 267)
(Business Overview, Products/solutions/services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
     13.1 INTRODUCTION
     13.2 KEY PLAYERS
             13.2.1 DEERE & COMPANY
                       TABLE 176 DEERE & COMPANY: COMPANY OVERVIEW
                       FIGURE 77 DEERE & COMPANY: COMPANY SNAPSHOT
                       TABLE 177 DEERE & COMPANY: PRODUCT LAUNCHES
                       TABLE 178 DEERE & COMPANY: DEALS
             13.2.2 TRIMBLE INC.
                       TABLE 179 TRIMBLE INC.: COMPANY OVERVIEW
                       FIGURE 78 TRIMBLE INC.: COMPANY SNAPSHOT
                       TABLE 180 TRIMBLE: PRODUCT LAUNCHES
                       TABLE 181 TRIMBLE: DEALS
             13.2.3 RAVEN INDUSTRIES
                       TABLE 182 RAVEN INDUSTRIES: COMPANY OVERVIEW
                       FIGURE 79 RAVEN INDUSTRIES: COMPANY SNAPSHOT
                       TABLE 183 RAVEN INDUSTRIES: PRODUCT LAUNCHES
                       TABLE 184 RAVEN INDUSTRIES: DEALS
                       TABLE 185 RAVEN INDUSTRIES: OTHERS
             13.2.4 AKVA GROUP
                       TABLE 186 AKVA GROUP: COMPANY OVERVIEW
                       FIGURE 80 AKVA GROUP: COMPANY SNAPSHOT
                       TABLE 187 AKVA GROUP: PRODUCT LAUNCHES
                       TABLE 188 AKVA GROUP: DEALS
             13.2.5 DELAVAL (SUBSIDIARY OF TETRA LAVAL INTERNATIONAL, S.A.)
                       TABLE 189 DELAVAL: COMPANY OVERVIEW
                       FIGURE 81 DELAVAL: COMPANY SNAPSHOT
                       TABLE 190 DELAVAL: PRODUCT LAUNCHES
                       TABLE 191 DELAVAL : DEALS
             13.2.6 AGJUNCTION
                       TABLE 192 AGJUNCTION: COMPANY OVERVIEW
                       FIGURE 82 AGJUNCTION: COMPANY SNAPSHOT
                       TABLE 193 AGJUNCTION: PRODUCT LAUNCHES
                       TABLE 194 AGJUNCTION: DEALS
             13.2.7 TOPCON POSITIONING SYSTEMS
                       TABLE 195 TOPCON POSITIONING SYSTEMS: COMPANY OVERVIEW
                       TABLE 196 TOPCON: PRODUCT LAUNCHES
                       TABLE 197 TOPCON: DEALS
             13.2.8 ALLFLEX (SUBSIDIARY OF MERCK & CO., INC.)
                       TABLE 198 ALLFLEX (SUBSIDIARY OF MERCK & CO., INC.): COMPANY OVERVIEW
                       TABLE 199 ALLFLEX: PRODUCT LAUNCHES
                       TABLE 200 ALLFLEX: DEALS
                       TABLE 201 ALLFLEX: OTHERS
             13.2.9 PONSSE
                       TABLE 202 PONSSE: COMPANY OVERVIEW
                       FIGURE 83 PONSSE: COMPANY SNAPSHOT
                       TABLE 203 PONSSE: PRODUCT LAUNCHES
                       TABLE 204 PONSSE: DEALS
                       TABLE 205 PONSSE: OTHERS
             13.2.10 KOMATSU FOREST
                       TABLE 206 KOMATSU FOREST: COMPANY OVERVIEW
                       TABLE 207 KOMATSU FOREST: PRODUCT LAUNCHES
                       TABLE 208 KOMATSU FOREST: DEALS
                       TABLE 209 KOMATSU FOREST: OTHERS
             13.2.11 INNOVASEA SYSTEMS
                       TABLE 210 INNOVASEA SYSTEMS: COMPANY OVERVIEW
                       TABLE 211 INNOVASEA SYSTEMS: PRODUCT LAUNCHES
                       TABLE 212 INNOVASEA SYSTEMS: DEALS
                       TABLE 213 INNOVASEA SYSTEMS: OTHERS
             13.2.12 STEINSVIK (PART OF SCALE AQ)
                       TABLE 214 STEINSVIK (SCALEAQ): COMPANY OVERVIEW
                       TABLE 215 STEINSVIK: PRODUCT LAUNCHES
                       TABLE 216 STEINSVIK: DEALS
     13.3 OTHER KEY PLAYERS
             13.3.1 TEEJET TECHNOLOGIES
                       TABLE 217 TEEJET TECHNOLOGIES: COMPANY OVERVIEW
             13.3.2 AG LEADER TECHNOLOGY
                       TABLE 218 AG LEADER TECHNOLOGY: COMPANY OVERVIEW
             13.3.3 AFIMILK
                       TABLE 219 AFIMILK: COMPANY OVERVIEW
             13.3.4 DICKEY-JOHN
                       TABLE 220 DICKEY-JOHN: COMPANY OVERVIEW
             13.3.5 DJI
                       TABLE 221 DJI: COMPANY OVERVIEW
             13.3.6 AGEAGLE
                       TABLE 222 AGEAGLE: COMPANY OVERVIEW
             13.3.7 PRECISIONHAWK
                       TABLE 223 PRECISIONHAWK: COMPANY OVERVIEW
             13.3.8 HEXAGON AGRICULTURE (SUBSIDIARY OF HEXAGON GROUP)
                       TABLE 224 HEXAGON AGRICULTURE: COMPANY OVERVIEW
             13.3.9 FARMERS EDGE
                       TABLE 225 FARMERS EDGE: COMPANY OVERVIEW
             13.3.10 TIGERCAT
                       TABLE 226 TIGERCAT: COMPANY OVERVIEW
             13.3.11 THE CLIMATE CORPORATION
                       TABLE 227 THE CLIMATE CORPORATION: COMPANY OVERVIEW
             13.3.12 DESCARTES LABS
                       TABLE 228 DESCARTES LABS: COMPANY OVERVIEW
             13.3.13 CROPX
                       TABLE 229 CROPX: COMPANY OVERVIEW
             13.3.14 ERUVAKA TECHNOLOGIES
                       TABLE 230 ERUVAKA TECHNOLOGIES: COMPANY OVERVIEW
             13.3.15 EC2CE
                       TABLE 231 EC2CE: COMPANY OVERVIEW
             13.3.16 GAMAYA
                       TABLE 232 GAMAYA: COMPANY OVERVIEW
             13.3.17 AKUAKARE
                       TABLE 233 AKUAKARE: COMPANY OVERVIEW
             13.3.18 IN-SITU, INC.
                       TABLE 234 IN-SITU: COMPANY OVERVIEW

*Details on Business Overview, Products/solutions/services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

14 APPENDIX (Page No. - 341)
     14.1 INSIGHTS FROM INDUSTRY EXPERTS
     14.2 DISCUSSION GUIDE
     14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     14.4 AVAILABLE CUSTOMIZATIONS
     14.5 RELATED REPORTS
     14.6 AUTHOR DETAILS

The study involved four major activities for estimating the size of the agriculture IoT market. Exhaustive secondary research has been carried out to collect information relevant to the market, its peer markets, and its child market. Primary research has been undertaken to validate key findings, assumptions, and sizing with the industry experts across the value chain of the agriculture IoT market. Both top-down and bottom-up approaches have been employed to estimate the complete market size. It has been followed by the market breakdown and data triangulation methods to estimate the size of different segments and subsegments of the market.

Secondary Research

The research methodology that has been used to estimate and forecast the size of the agriculture IoT market began with the acquisition of data related to the revenues of key vendors in the market through secondary research. The secondary research referred to for this research study involves Precision Ag Institute, International Federation of Robotics, Precision Agriculture Association NZ, Global Aquaculture Alliance, National Aquaculture Association, FAOstat, and AgTech association. Moreover, the study involved extensive use of secondary sources, directories, and databases, such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect information useful for a technical, market-oriented, and commercial study of the agriculture IoT market. Vendor offerings have been taken into consideration to determine the market segmentation. The entire research methodology included the study of annual reports, press releases, and investor presentations of companies; white papers; and certified publications and articles by recognized authors; directories; and databases.

Primary Research

Extensive primary research has been conducted after acquiring an understanding of the agriculture IoT market scenario through secondary research. Several primary interviews have been conducted with market experts from both the demand and supply-side players across key regions, namely, North America, Europe, APAC, and Middle East and Africa (MEA), and South America. Various primary sources from both the supply and demand sides of the market have been interviewed to obtain qualitative and quantitative information. Following is the breakdown of the primary respondents.

Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and administration, were covered to provide a holistic viewpoint in our report. After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report.

Agriculture IoT Market Size, and Share

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

Market Size Estimation

Both top-down and bottom-up approaches have been used to estimate and validate the size of agriculture IoT market and its segments. The research methodology used to estimate the market size includes the following:

  • Key players in the market have been identified through extensive secondary research
  • The supply chain and the size of the agriculture IoT market, in terms of value, have been determined through primary and secondary research processes
  • Several primary interviews have been conducted with key opinion leaders related to agriculture IoT market including key OEMs, IDMs, and Tier I suppliers.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources
  • Qualitative aspects such as market drivers, restraints, opportunities, and challenges have been taken into consideration while calculating and forecasting the market size.

Global Agriculture IoT market Size: Bottom-Up Approach

Agriculture IoT Market Size, and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size-using the market size estimation process explained above-the market has been split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics for each segment and subsegment of the market. The data has been triangulated by studying various factors and trends from both the demand and supply sides of the agriculture IoT market.

Report Objectives

  • To describe and forecast the agriculture IoT market, in terms of value, based on hardware type, farm size type, farm production planning stage, application, and region
  • To describe and forecast the agriculture IoT market, in terms of value, for various segments with respect to 4 key regions, namely, North America, South America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contribution to the overall market
  • To provide a detailed overview of the agriculture IoT value chain
  • To strategically profile the key players and comprehensively analyze their market ranking in terms of revenue and core competencies
  • To provide detailed information regarding drivers, restraints, opportunities, and challenges pertaining to the agriculture IoT market
  • To map competitive intelligence based on company profiles, strategies of key players, and game-changing developments such as product launches, partnerships, collaborations, and agreements undertaken in the agriculture IoT market

Available Customizations

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

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)
  • Additional country-level analysis of agriculture IoT market
  • Estimation of the market size of the segments of the agriculture IoT market based on different subsegments
COVID-19

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

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

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