Agriculture Analytics Market

Agriculture Analytics Market by Application Area (Farm Analytics, Livestock Analytics, and Aquaculture Analytics), Component (Solution and Services), Farm Size (Small, Medium Sized, and Large), Deployment Type, and Region - Global Forecast to 2023

[161 Pages Report]MarketsandMarkets expects the global agriculture analytics market size to grow from USD 585 million in 2018 to USD 1,236 million by 2023, at a Compound Annual Growth Rate (CAGR) of 16.2% during the forecast period. The major growth drivers for the market include government initiatives to deploy modern agriculture techniques, rising pressure to meet the global demand for food, and need to improve farm productivity.

Agriculture Analytics Market

The livestock analytics application segment to grow at the highest CAGR during the forecast period

The livestock analytics application segment includes feeding management, heat stress management, milk harvesting, breed management, behaviour monitoring and management, and others (calf management, genetic management, and cattle sorting). The livestock agriculture includes varied task performed daily, which generate large volumes of critical data about the animal. Any, miss-management in the diet or tracking of the animals may result in major loss for farmers. Hence, farmers are investing in analytics solutions that help them in managing their livestock process for quality production.

By component type, the solution segment to hold the largest market size during the forecast period

The growing need for agribusiness to effectively analyze critical farm-related data for better decision-making is contributing to the growth of the agricultural analytics solution segment. Crop yield depends on multiple factors, such as weather parameters, soil condition, fertilizer application, and seed variety. It becomes very challenging for farmers to identify the critical factors from large data sets that can impact their farm productivity. Agriculture analytics solution allows to corelate a wide variety of data to get valuable insight for increasing productivity.

The large farms segment to hold a larger market size during the forecast period

The adoption of agriculture analytics solution in large farms is higher than that of the small and medium-sized farms, owing to the affordability and high economies of scale. The increasing competitive landscape and need to meet the global food requirements encourage them to turn to agriculture analytics solution and services to enhance the usage of resources for better production. Large farm size performs high-level business operations that generate large volumes of information. Agriculture analytics service providers help large farms to effectively manage and utilize the data for maximum output.

Agriculture Analytics Market

North America to account for the largest market size during the forecast period

North America is expected to hold the largest market size and dominate the global agriculture analytics market from 2018 to 2023. The region majorly has large farms with best-in-class farming equipment, which largely contribute to the growth of the agriculture analytics market. APAC is expected to provide lucrative opportunities for the agriculture analytics vendors, owing to the increasing investments in the digital agriculture practices and implementation of cloud-based solutions among growers in the region. However, lack of standardization for data in various regions could affect the adoption of agriculture analytics solution.

Key Agriculture Analytics Market Players

Major vendors offering agriculture analytics solution and services across the globe include Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto Company (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere Inc. (US), Conservis Corporation (US), DeLaval (Sweden), Farmer's Business Network (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), and AgVue Technologies (US).

Deere & Company, a leader in offering an extensive set of solution and services under its modern agriculture portfolio, caters to the needs of farms across the globe. The company follows the comprehensive agricultural management systems approach enabling farmers to control their input costs and yields better, improve soil conservation, and minimize the use of chemicals by leveraging advanced communications, data collection, and global satellite positioning technologies. For instance, in 2017, it invested 4.6% of its revenue in R&D activities to extend its offerings in the agriculture analytics market. Deere & Company focuses on growth strategies to enhance its offerings and expand its market reach with the help of strategic partnerships, mergers and acquisitions, business expansions, and product and service developments.

Recent developments

  • In October 2018, DTN, a leading provider of independent weather insights, upgraded and enhanced the capabilities of its premier agriculture weather solution, WeatherSentry Global Agricultural Edition by integrating enhanced capabilities. The enhanced solution includes spray outlook, global precipitation nowcast, and field outlook capabilities, which will would help farmers make critical growing decisions in order to increase the yield.
  • In September 2018, John Deere acquired PLA, a leading manufacturer of sprayers, planters, and agriculture specialty products. The acquisition has enabled John Deere to strengthen its product portfolio.
  • In July 2018, Proagrica rebranded solutions from F4F, DBT, and SST Software under the Proagrica brand. This branding under one umbrella would enable Proagrica to deliver more connected farming solutions.
  • In March 2018, Granular signed a multi-year agreement with Planet, a leading provider of integrated aerospace and data analytics solutions, to deliver digital agriculture software and solutions to farmers.

Key questions addressed by the report

  • What are the major challenges faced while deploying agricultural analytics solutions in different application area?
  • What are key industry trends in agriculture analytics market?
  • What is the level of preparedness of farmers to deal with unforeseen business risks?
  • What are the challenges faced by agriculture analytics vendors while integrating digital farming technologies with a client’s farm equipment?

Table of Contents

1 Introduction (Page No. - 19)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Market Segmentation
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 23)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakup of Primary Profiles
                    2.1.2.2 Key Industry Insights
    2.2 Market Breakup and Data Triangulation
    2.3 Market Size Estimation
           2.3.1 Bottom-Up Approach
           2.3.2 Top-Down Approach
    2.4 Market Forecast
    2.5 Assumptions for Study
    2.6 Limitations of the Study

3 Executive Summary (Page No. - 31)

4 Premium Insights (Page No. - 34)
    4.1 Attractive Market Opportunities in the Agriculture Analytics Market
    4.2 Market: Top 3 Application Areas and Regions (2018)
    4.3 Agriculture Analytics Market: Major Countries

5 Market Dynamics (Page No. - 36)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Increasing Government Initiatives to Deploy Modern Agricultural Techniques
                    5.2.1.2 Unpredictable Climate Changes and Environmental Factors
                    5.2.1.3 Rising Pressure to Meet the Global Demand for Food
           5.2.2 Restraints
                    5.2.2.1 High Capital Investment
                    5.2.2.2 Fragmented Agriculture Industry
           5.2.3 Opportunities
                    5.2.3.1 Increasing Adoption of AI and Predictive Analytics to Improve the Yield
                    5.2.3.2 Growing Adoption of IoT and Smart Technologies to Enable Precision Agriculture
           5.2.4 Challenges
                    5.2.4.1 Lack of Standardization for Data Management and Data Aggregation in Agriculture Industry
                    5.2.4.2 Lack of Technical Know-How Among Farmers
    5.3 Industry Trends
           5.3.1 Use Case 1: Agribotix
           5.3.2 Use Case 2: Agrivi
           5.3.3 Use Case 3: Sentera

6 Agriculture Analytics Market, By Application Area (Page No. - 43)
    6.1 Introduction
    6.2 Farm Analytics
           6.2.1 Planning
                    6.2.1.1 Field Mapping
                    6.2.1.2 Crop Scouting
                    6.2.1.3 Weather Data Analytics
                    6.2.1.4 Soil Moisture Analysis
           6.2.2 Farm Production
                    6.2.2.1 Irrigation and Water Management
                    6.2.2.2 Fertilizer Management
                    6.2.2.3 Crop Growth and Health
                    6.2.2.4 Farm Labor Management
                    6.2.2.5 Yield Monitoring
           6.2.3 Post-Harvest Activities
                    6.2.3.1 Storage
                    6.2.3.2 Processing
                    6.2.3.3 Transport
                    6.2.3.4 Market Access
    6.3 Livestock Analytics
           6.3.1 Feeding Management
                    6.3.1.1 Growing Focus of Producers to Monitor Food Intake of Livestocks is Driving the Growth of Feeding Management Segment
           6.3.2 Heat Stress Management
                    6.3.2.1 Need to Reduce Heat Stress Level of Cattle is Driving the Demand for Heat Stress Management Segment
           6.3.3 Milk Harvesting
                    6.3.3.1 Growing Focus of Producers to Manage Various Activities of Milk Parlor is Driving the Demand for Milk Harvesting Segment
           6.3.4 Breeding Management
                    6.3.4.1 Increasing Focus of Livestock Producers to Improve Animal Productivity is Driving the Demand for Breeding Management Segment
           6.3.5 Behavior Monitoring and Management
                    6.3.5.1 Increasing Focus of Livestock Producers to Monitor Animal Behavior is Driving the Demand for Behaviour Monitoring and Management Segment
           6.3.6 Others
    6.4 Aquaculture Analytics
           6.4.1 Fish Tracking and Fleet Navigation
                    6.4.1.1 Need to Improve the Productivity of Fish Farms is Driving the Demand for Fish Tracking and Fleet Navigation Segment
           6.4.2 Feed Management
                    6.4.2.1 Need to Improve Optimal Nutrients and Feed Intake of Aquatic Animals is Driving the Demand for Feed Management Segment
           6.4.3 Water Quality Management
                    6.4.3.1 Increasing Focus of Aqua Farmers to Maintain Water Quality is Driving the Demand for Water Quality Management Segment
           6.4.4 Others
    6.5 Others

7 Market, By Component (Page No. - 55)
    7.1 Introduction
    7.2 Solution
           7.2.1 Growing Need for Agribusinesses to Effectively Analyze Critical Data in Real-Time and Make Timely Operational Decisions Driving the Adoption of Agriculture Analytics Solution
    7.3 Services
           7.3.1 Professional Services
                    7.3.1.1 Integration and Implementation
                               7.3.1.1.1 Growing Focus of Farmers to Reduce the Complexities Occurred While Deploying Agriculture Analytics Solution is Driving the Growth of Integration and Implementation Services in Market
                    7.3.1.2 Consulting
                               7.3.1.2.1 Increasing Demand of Farmers to Improve Land Cultivation With the Help of Experts Advice is Driving the Growth of Consulting Services in Market
                    7.3.1.3 Support and Maintenance
                               7.3.1.3.1 Need to Upkeep System Performance With Routine Infrastructure Maintenance is Driving the Growth of Support and Maintenance Services in Market
                    7.3.1.4 Training and Education
                               7.3.1.4.1 Growing Focus of Farmers to Follow Best Farming Practices and Improve Food and Livestock Production is Driving the Growth of Training and Education Services in Agriculture Analytics Market
           7.3.2 Managed Services
                    7.3.2.1 Increasing Labor Shortage and Growing Need to Outsource Field-Related Operations Driving the Growth of Managed Services

8 Market, By Deployment Type (Page No. - 64)
    8.1 Introduction
    8.2 Cloud
           8.2.1 Factors Such as Scalability and Cost-Effectiveness to Drive the Adoption of Cloud-Based Agriculture Analytics Solution
    8.3 On-Premises
           8.3.1 Data Security Concerns Among End Users to Drive the Adoption of On-Premises Agriculture Analytics Solution

9 Agriculture Analytics Market, By Farm Size (Page No. - 68)
    9.1 Introduction
    9.2 Small and Medium-Sized Farms
           9.2.1 Need for Cost-Effective Analytics Solutions Which Enhance Farm Productivity to Drive the Growth of Agriculture Analytics Solutions in Small and Medium-Sized Farms
    9.3 Large Farms
           9.3.1 Real-Time Farm Data Management to Increase the Adoption of Agriculture Analytics Solutions in Large Farms

10 Market, By Region (Page No. - 72)
     10.1 Introduction
     10.2 North America
             10.2.1 United States
                        10.2.1.1 Data Driven Methodology for Managing and Increasing Crop Production to Drive the Growth of the Agriculture Analytics Market
             10.2.2 Canada
                        10.2.2.1 Implementation of Advanced Technologies to Monitor Livestock is Fueling the Growth of the Agriculture Analytics Market
     10.3 Europe
             10.3.1 Germany
                        10.3.1.1 Developed Communication Infrastructure to Propel the Growth of the Agriculture Analytics Market
             10.3.2 United Kingdom
                        10.3.2.1 Automation of Agriculture Process to Increase the Adoption of Agriculture Analytics Solution
             10.3.3 Rest of Europe
     10.4 Asia Pacific
             10.4.1 Australia and New Zealand
                        10.4.1.1 Agricultural Committees and Organizations to Motivate Farmers to Adopt Digital Agriculture Technologies
             10.4.2 China
                        10.4.2.1 Rapid Development of Connected Agricultural Equipment to Fuel the Growth of Agriculture Analytics Market
             10.4.3 Rest of Asia Pacific
     10.5 Middle East and Africa
             10.5.1 Kingdom of Saudi Arabia
                        10.5.1.1 Increasing Investment in the Development of Aquaculture Application to Drive the Growth of the Agriculture Analytics Market
             10.5.2 South Africa
                        10.5.2.1 Government Initiatives to Boost the Agriculture Analytics Market
             10.5.3 Rest of Middle East and Africa
     10.6 Latin America
             10.6.1 Brazil
                        10.6.1.1 Adoption of Modern Agriculture Techniques to Utilize Natural Water Resource to Contribute A Significant Share in the Agriculture Analytics Market
             10.6.2 Mexico
                        10.6.2.1 Growing Digital Transformation in the Country to Boost the Market Growth
             10.6.3 Rest of Latin America

11 Competitive Landscape (Page No. - 94)
     11.1 Overview
     11.2 Competitive Scenario
             11.2.1 Product/Service/Solution Launches and Enhancements
             11.2.2 Business Expansions
             11.2.3 Acquisitions
             11.2.4 Partnerships, Agreement, and Collaborations

12 Company Profiles (Page No. - 100)
     12.1 Introduction
(Business Overview, Products, Solutions, & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
     12.2 Deere & Company
     12.3 IBM
     12.4 Monsanto Company
     12.5 SAP
     12.6 Trimble
     12.7 Accenture
     12.8 Delaval
     12.9 Iteris
     12.10 Oracle
     12.11 Agribotix
     12.12 Agrivi
     12.13 Agvue Technologies
     12.14 Awhere
     12.15 Conservis Corporation
     12.16 DTN
     12.17 Farmers Business Network
     12.18 Farmers Edge
     12.19 Geosys
     12.20 Granular
     12.21 Gro Intelligence
     12.22 Precisionhawk
     12.23 Proagrica
     12.24 Resson
     12.25 Taranis
     12.26 Stesalit

*Details on Business Overview, Products, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. - 154)
     13.1 Discussion Guide
     13.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.3 Available Customizations
     13.4 Related Reports
     13.5 Author Details


List of Tables (64 Tables)

Table 1 Currency Conversion
Table 2 Factor Analysis
Table 3 Agriculture Analytics Market Size, By Application Area, 2016–2023 (USD Million)
Table 4 Farm Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 5 Livestock Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 6 Aquaculture Analytics: Market Size, By Region, 2016–2023 (USD Million)
Table 7 Others: Market Size, By Region, 2016–2023 (USD Million)
Table 8 Agriculture Analytics Market Size, By Component, 2016–2023 (USD Million)
Table 9 Solution: Market Size, By Region, 2016–2023 (USD Million)
Table 10 Services: Market Size, By Type, 2016–2023 (USD Million)
Table 11 Services: Market Size, By Region, 2016–2023 (USD Million)
Table 12 Professional Services Market Size, By Type, 2016–2023 (USD Million)
Table 13 Professional Services Market Size, By Region, 2016–2023 (USD Million)
Table 14 Integration and Implementation Market Size, By Region, 2016–2023 (USD Million)
Table 15 Consulting Market Size, By Region, 2016–2023 (USD Million)
Table 16 Support and Maintenance Market Size, By Region, 2016–2023 (USD Million)
Table 17 Training and Education Market Size, By Region, 2016–2023 (USD Million)
Table 18 Managed Services Market Size, By Region, 2016–2023 (USD Million)
Table 19 Agriculture Analytics Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 20 Cloud: Market Size, By Region, 2016–2023 (USD Million)
Table 21 On-Premises: Market Size, By Region, 2016–2023 (USD Million)
Table 22 Agriculture Analytics Market Size, By Farm Size, 2016–2023 (USD Million)
Table 23 Small and Medium-Sized Farms: Market Size, By Region, 2016–2023 (USD Million)
Table 24 Large Farms: Market Size, By Region, 2016–2023 (USD Million)
Table 25 Agriculture Analytics Market Size, By Region, 2016–2023 (USD Million)
Table 26 North America: Market Size, By Country, 2016–2023 (USD Million)
Table 27 North America: Market Size, By Component, 2016–2023 (USD Million)
Table 28 North America: Market Size, By Service, 2016–2023 (USD Million)
Table 29 North America: Market Size, By Professional Service, 2016–2023 (USD Million)
Table 30 North America: Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 31 North America: Market Size, By Farm Size, 2016–2023 (USD Million)
Table 32 North America: Market Size, By Application Area, 2016–2023 (USD Million)
Table 33 Europe: Agriculture Analytics Market Size, By Country, 2016–2023 (USD Million)
Table 34 Europe: Market Size, By Component, 2016–2023 (USD Million)
Table 35 Europe: Market Size, By Service, 2016–2023 (USD Million)
Table 36 Europe: Market Size, By Professional Service, 2016–2023 (USD Million)
Table 37 Europe: Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 38 Europe: Market Size, By Farm Size, 2016–2023 (USD Million)
Table 39 Europe: Market Size, By Application Area, 2016–2023 (USD Million)
Table 40 Asia Pacific: Agriculture Analytics Market Size, By Country, 2016–2023 (USD Million)
Table 41 Asia Pacific: Market Size, By Component, 2016–2023 (USD Million)
Table 42 Asia Pacific: Market Size, By Service, 2016–2023 (USD Million)
Table 43 Asia Pacific: Market Size, By Professional Service, 2016–2023 (USD Million)
Table 44 Asia Pacific: Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 45 Asia Pacific: Market Size, By Farm Size, 2016–2023 (USD Million)
Table 46 Asia Pacific: Market Size, By Application Area, 2016–2023 (USD Million)
Table 47 Middle East and Africa: Agriculture Analytics Market Size, By Country, 2016–2023 (USD Million)
Table 48 Middle East and Africa: Market Size, By Component, 2016–2023 (USD Million)
Table 49 Middle East and Africa: Market Size, By Service, 2016–2023 (USD Million)
Table 50 Middle East and Africa: Market Size, By Professional Service, 2016–2023 (USD Million)
Table 51 Middle East and Africa: Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 52 Middle East and Africa: Market Size, By Farm Size, 2016–2023 (USD Million)
Table 53 Middle East and Africa: Market Size, By Application Area, 2016–2023 (USD Million)
Table 54 Latin America: Agriculture Analytics Market Size, By Country, 2016–2023 (USD Million)
Table 55 Latin America: Market Size, By Component, 2016–2023 (USD Million)
Table 56 Latin America: Market Size, By Service, 2016–2023 (USD Million)
Table 57 Latin America: Market Size, By Professional Service, 2016–2023 (USD Million)
Table 58 Latin America: Market Size, By Deployment Type, 2016–2023 (USD Million)
Table 59 Latin America: Market Size, By Farm Size, 2016–2023 (USD Million)
Table 60 Latin America: Agriculture Analytics Market Size, By Application Area, 2016–2023 (USD Million)
Table 61 Product/Service/Solution Launches and Enhancements, 2016–2018
Table 62 Business Expansions, 2017–2018
Table 63 Acquisitions, 2018
Table 64 Partnerships, Agreement, Collaborations, 2018


List of Figures (36 figures)

Figure 1 Agriculture Analytics Market: Research Design
Figure 2 Market: Bottom-Up Approach
Figure 3 Market: Top-Down Approach
Figure 4 Various Sources of Data Generation
Figure 5 Farm Analytics Segment Holds the Highest Market Share in the Agriculture Analytics Market in 2018
Figure 6 North America is Estimated to Hold the Highest Market Share in 2018
Figure 7 Growing Focus of Agribusinesses to Adopt Modern Agriculture Techniques and Improve Yield to Drive the Growth of  Market During the Forecast Period
Figure 8 Farm Analytics Application Segment and North America to Hold the Highest Market Shares in the Agriculture Analytics Market in 2018
Figure 9 China to Grow at the Highest Rate During the Forecast Period
Figure 10 Drivers, Restraints, Opportunities, and Challenges: Agriculture Analytics Market
Figure 11 Global Agtech Investment in USD Billion (2012–2016)
Figure 12 World Food Consumption in Kcal\Person\Day By 2030
Figure 13 Livestock Analytics Segment to Grow at the Highest CAGR During the Forecast Period
Figure 14 Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 15 Managed Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 16 Cloud Deployment Type to Grow at A Higher CAGR During the Forecast Period
Figure 17 Small and Medium-Sized Farms Segment to Grow at A Higher CAGR During the Forecast Period
Figure 18 Asia Pacific to Witness A Significant Growth During the Forecast Period
Figure 19 North America: Market Snapshot
Figure 20 Asia Pacific: Market Snapshot
Figure 21 Key Developments in the Agriculture Analytics Market, 2017–2018
Figure 22 Market Evaluation Framework
Figure 23 Geographic Revenue Mix of the Top Market Players
Figure 24 Deere & Company: Company Snapshot
Figure 25 SWOT Analysis: Deere & Company
Figure 26 IBM: Company Snapshot
Figure 27 SWOT Analysis: IBM
Figure 28 SWOT Analysis: Monsanto Company
Figure 29 SAP: Company Snapshot
Figure 30 SWOT Analysis: SAP
Figure 31 Trimble: Company Snapshot
Figure 32 SWOT Analysis: Trimble
Figure 33 Accenture: Company Snapshot
Figure 34 Delaval: Company Snapshot
Figure 35 Iteris: Company Snapshot
Figure 36 Oracle: Company Snapshot

The study involved 4 major activities to estimate the current market size for the agriculture analytics market. Exhaustive secondary research was done to collect information on the market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. Thereafter, the market breakdown and data triangulation procedures were used to estimate the market size of the segments and subsegments of the agriculture analytics market.

Secondary research

In the secondary research process, various secondary sources, such as D&B Hoovers, Bloomberg BusinessWeek, and Factiva have been referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases and investor presentations of companies, whitepapers, certified publications and articles by recognized authors, gold standard and silver standard websites, regulatory bodies, trade directories, and databases.

Primary research

The agriculture analytics market comprises several stakeholders, such as agriculture analytics vendors, precision farming providers, managed service providers, smart farming vendors, farming equipment manufacturers, system integrators, consulting service providers, resellers and distributors, research organizations, government agencies, enterprise users, technology providers, venture capitalists, private equity firms, and startup companies. The demand side of the market consists of farmers, growers, cooperatives, agribusiness, seed companies, fertilizer companies, and food and beverage companies. The supply side includes agriculture analytics providers offering agriculture analytics solution and services. Various primary sources from both the supply and demand sides of the market were interviewed to obtain qualitative and quantitative information.

Following is the breakup of the primary respondents’ profiles:

Agriculture Analytics Market

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

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the agriculture analytics market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the industry and markets have been identified through extensive secondary research.
  • The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, the data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying several factors and trends from both, the demand and supply sides.

Report Objectives

  • To define, describe, and forecast the market by application area, component, deployment type, farm size, and region
  • To provide detailed information about major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the growth of the agriculture analytics market
  • To analyze the market with respect to individual growth trends, prospects, and contributions to the agriculture analytics market
  • To forecast the market size of the 5 main regional segments, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the market
  • To profile the key players in the market and comprehensively analyze their core competencies in each microsegment
  • To analyze the competitive developments, such as agreements, alliances, joint ventures, and mergers and acquisitions, in the market

Scope of Report

Report Metrics

Details

Market size available for years

2016-2023

Base year considered

2017

Forecast period

2018-2023

Forecast units

Value (USD) and Volume (kT)

Segments covered

Application Area, Component, Farm Size, Deployment Type, and Region

Geographies covered

North America, Europe, APAC, Latin America and MEA

Companies covered

Deere & Company (US), IBM (US), SAP SE (Germany), Trimble (US), Monsanto Company (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere Inc. (US), Conservis Corporation (US), DeLaval (Sweden), Farmer's Business Network (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), Proagrica (UK), PrecisionHawk (US), RESSON (Canada), Stesalit Systems (India), and AgVue Technologies (US)

This research report categorizes the agriculture analytics market to forecast revenues and analyze trends in each of the following submarkets:

On the basis of component, the market has been segmented as follows:

  • Solution
  • Services

On the basis of application areas, the market has been segmented as follows:

  • Farm analytics
  • Livestock analytics
  • Aquaculture analytics
  • Others (Orchid, Forestry, and Horticulture)

On the basis of farm size, the agriculture analytics market has been segmented as follows:

  • Large Farms
  • Small and Medium-Sized Farms

On the basis of deployment types, the agriculture analytics market has been segmented as follows:

  • Cloud
  • On-premises

On the basis of regions, the market has been segmented as follows:

  • North America
    • US
    • Canada
  • Europe
    • Germany
    • UK
    • Rest of Europe
  • APAC
    • Australia and New Zealand (ANZ)
    • China
    • Rest of APAC
  • MEA
    • Kingdom of Saudi Arabia (KSA)
    • South Africa
    • Rest of MEA
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix gives a detailed comparison of the product portfolio of each company

Company Information

  • Detailed analysis and profiling of additional market players
Report Code
TC 6840
Published ON
Jan, 2019
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