AI in Agriculture Market

AI in Agriculture Market by Technology (Machine Learning, Computer Vision, Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring), Offering, and Geography - Global Forecast to 2025

Report Code: SE 5832 Nov, 2019, by marketsandmarkets.com
Updated date -

The global artificial intelligence (AI) in agriculture market size estimated at USD 519 million in 2017 is expected to be worth USD 2.6 billion by 2025. The major factors driving the growth of the AI in agriculture market include the growing demand for agricultural production owing to the increasing population, rising adoption of information management systems and new, advanced technologies for improving crop productivity, increasing crop productivity by implementing deep learning techniques, and growing initiatives by worldwide governments supporting the adoption of modern agricultural techniques. The combination of the Internet of Things and artificial intelligence technologies, such as machine learning, computer vision, and predictive analytics, further allow farmers to analyze real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in the market.

AI in Agriculture Market

Market Dynamics

AI in agriculture market for computer vision technology grow fastest in coming years

Use of AI-powered equipment based on the computer vision technology increases crop yields by about 30% and enables to predict weekly and seasonal crop yields with more than 90% accuracy (Source: Farmer’s Weekly Magazine). The AI-based equipment based on the computer vision technology are also widely used for monitoring crop health and detecting a nutrient deficiency in plants. For instance, Prospera, an Israeli company, has developed a product series in which the computer vision technology is used, thereby enabling automatic detection of pests and diseases. Farmers can use this information to determine if plants are underperforming or suffering from nutrient deficiencies.

The increasing use of computer vision technology for agriculture applications, such as plant image recognition, and the rising demand for continuous monitoring and analyzing crop health are the major factors contributing to the growth of the market for AI solutions based on computer vision technology.

Software segment held the largest size of AI in agriculture market in 2017

The market for the software segment is mainly driven by the integration of mobile technologies with farming techniques, growing use of artificial intelligence software to improve farm efficiency, and rising demand for real-time data management systems. The market for the hardware segment is expected to grow at the highest CAGR during the forecast period. The increasing demand for processors and data storage devices for farm operations is the major factor that is likely to contribute to the high growth rate of the hardware market in the coming years.

Asia Pacific to witness the highest growth within the global artificial intelligence (AI) in agriculture market during the forecast period

The main factors contributing toward the growth of the AI in agriculture market in APAC include the increasing practice of precision farming to increase crop yield, drone analytics services, and increasing adoption of agriculture robots on the farm. Farmers in countries such as Australia, China, Japan, and India are increasingly adopting machine learning, deep learning, computer vision, and predictive analytics technologies.

AI in Agriculture Market

Americas accounted for the largest of the global AI in agriculture market share in 2016. The presence of a number of agriculture technology providers in this region such as IBM, Microsoft, John Deere, Granular, Blue River Technology, and The Climate Corporation is driving the growth of the North American market.

AI in Agriculture Market

Key Market Players

The key players in AI in agriculture market include IBM (US), John Deere (US), Microsoft (US), Agribotix (US)(A AgEagle (US) Company), The Climate Corporation (US), ec2ce (Spain), Descartes Labs (US),  Vineview (Canada), Taranis (Israel), aWhere (US), Gamaya (Switzerland), Precision Hawk (US), Granular (US), Prospera (Israel), Cainthus (US), DTN (US), Resson (Canada), FarmBot (US), Connecterra (Netherlands), Vision Robotics (US), Harvest Croo (US), Autonomous Tractor Corporation (US), Trace Genomics (US), and CropX (Israel).

Scope of the Report:

Report Metric

Details

Market size available for years

2014–2025

Base year

2016

Forecast period

2017–2025

Units

Value, USD

Segments covered

Technology, Deployment, Function, Offering, Application

Geographic regions covered

Americas, Europe, APAC, and RoW

Companies covered

IBM (US), John Deere (US), Microsoft (US), Agribotix (US)(A AgEagle (US) Company), The Climate Corporation (US), ec2ce (Spain), Descartes Labs (US),  Vineview (Canada), Taranis (Israel), aWhere (US), Gamaya (Switzerland), Precision Hawk (US), Granular (US), Prospera (Israel), Cainthus (US), DTN (US), Resson (Canada), FarmBot (US), Connecterra (Netherlands), Vision Robotics (US), Harvest Croo (US), Autonomous Tractor Corporation (US), Trace Genomics (US), and CropX (Israel).

AI in Agriculture Market Segmentation:

This report categorizes the market based on technology, deployment, function, offering, application and region.

AI in Agriculture market, by Technology:

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

AI in Agriculture market, by Deployment:

  • Datacenters
  • On-premise/Edge

AI in Agriculture market, by Function:

  • Training
  • Inference

AI in Agriculture Market, by Offering:

  • Hardware
  • Software
  • AI-as-a-Service
  • Service

AI in Agriculture Market, by Application:

  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Others
    • Smart Greenhouse Applications
    • Soil Management
    • Fish Farming Application
    • Supply Chain Efficiencies

    AI in agriculture market, by Region:

    • Americas
      • North America
        • US
        • Canada
        • Mexico
      • South America
        • Brazil
        • Argentina
        • Rest of South America
    • Europe
      • UK
      • Germany
      • France
      • Italy
      • Spain
      • Rest of Europe
    • APAC
      • Australia
      • China
      • Japan
      • South Korea
      • India
      • Rest of APAC
    • RoW
      • Middle East
      • Africa

    Major strategies identified in the global market include the following:

    • Product Launches
    • Partnership
    • Acquisitions

    Key Questions Addressed by the Report

    • Who are the major market players in the AI in agriculture market?
    • What are the regional growth trends and the largest revenue-generating regions for the market?
    • Which are the significant regions for different industries that are projected to witness remarkable growth for the market?
    • Which AI technologies will lead the market in next 5 years?
    • What are the major applications of AI in agriculture?

    To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 14)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 18)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Major Secondary Sources
                    2.1.1.2 Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Primary Interviews With Experts
                    2.1.2.2 Breakdown of Primaries
                    2.1.2.3 Primary Sources
                    2.1.2.4 Key Industry Insights
           2.1.3 Secondary and Primary Research
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
                    2.2.1.1 Approach for Capturing Market Share By Bottom-Up Analysis (Demand Side)
           2.2.2 Top-Down Approach
                    2.2.2.1 Approach for Capturing Market Share By Top-Down Analysis (Supply Side)
    2.3 Market Breakdown and Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 28)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Opportunities in the Market
    4.2 Market, By Application
    4.3 Market, By Geography
    4.4 Market, By Offering
    4.5 Market, By Technology

5 Market Overview (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Demand for Agricultural Production Owing to Increasing Population
                    5.2.1.2 Rising Adoption of Information Management System and New, Advanced Technologies for Increasing Crop Productivity
                    5.2.1.3 Increasing Crop Productivity By Implementing Deep Learning Techniques
                    5.2.1.4 Growing Initiatives By Worldwide Governments Supporting Adoption of Modern Agricultural Techniques
           5.2.2 Restraints
                    5.2.2.1 High Cost of Gathering Precise Field Data
           5.2.3 Opportunities
                    5.2.3.1 Developing Countries to Offer Significant Growth Opportunities
                    5.2.3.2 Increasing Use of Unmanned Aerial Vehicles (UAVs) Or Drones in Agricultural Farms
           5.2.4 Challenges
                    5.2.4.1 Lack of Standards
                    5.2.4.2 Technological Unawareness in Farmers About AI
                    5.2.4.3 Limited Availability of Historical Data

6 Industry Trends (Page No. - 44)
    6.1 Introduction
    6.2 Value Chain Analysis
    6.3 Industry Trends

7 Artificial Intelligence in Agriculture Market, By Technology (Page No. - 47)
    7.1 Introduction
    7.2 Machine Learning
    7.3 Computer Vision
    7.4 Predictive Analytics

8 Artificial Intelligence in Agriculture Market, By Offering (Page No. - 53)
    8.1 Introduction
    8.2 Hardware
           8.2.1 Processor
           8.2.2 Storage Device
           8.2.3 Network
    8.3 Software
           8.3.1 AI Platform
           8.3.2 AI Solution
    8.4 AI-As-A-Service
    8.5 Service
           8.5.1 Deployment and Integration
           8.5.2 Support and Maintenance

9 Artificial Intelligence in Agriculture Market, By Application (Page No. - 64)
    9.1 Introduction
    9.2 Precision Farming
           9.2.1 Yield Monitoring
           9.2.2 Field Mapping
           9.2.3 Crop Scouting
           9.2.4 Weather Tracking and Forecasting
           9.2.5 Irrigation Management
    9.3 Livestock Monitoring
    9.4 Drone Analytics
    9.5 Agriculture Robots
    9.6 Other Applications
           9.6.1 Smart Greenhouse Applications
           9.6.2 Soil Management
                    9.6.2.1 Moisture Monitoring
                    9.6.2.2 Nutrient Monitoring
           9.6.3 Fish Farming Application

10 Geographic Analysis (Page No. - 93)
     10.1 Introduction
     10.2 Americas
             10.2.1 North America
                        10.2.1.1 US
                        10.2.1.2 Canada
                        10.2.1.3 Mexico
             10.2.2 South America
                        10.2.2.1 Brazil
                        10.2.2.2 Argentina
                        10.2.2.3 Rest of South America
     10.3 Europe
             10.3.1 UK
             10.3.2 Germany
             10.3.3 France
             10.3.4 Italy
             10.3.5 Spain
             10.3.6 Rest of Europe
     10.4 APAC
             10.4.1 Australia
             10.4.2 China
             10.4.3 Japan
             10.4.4 South Korea
             10.4.5 India
             10.4.6 Rest of APAC
     10.5 Rest of the World

11 Competitive Landscape (Page No. - 116)
     11.1 Introduction
     11.2 Market Ranking for Market,2016
     11.3 Competitive Scenario
     11.4 Competitive Situation and Trends
             11.4.1 Product Launches
             11.4.2 Partnerships, Agreements, & Collaborations
             11.4.3 Mergers & Acquisitions

12 Company Profiles (Page No. - 120)
     12.1 Introduction
(Business Overview, Products Offered & Services Strategies, Key Insights, Recent Developments, MnM View)*
     12.2 IBM
     12.3 Deere & Company
     12.4 Microsoft
     12.5 Agribotix
     12.6 The Climate Corporation (Subsidiary of Monsanto)
     12.7 Granular
     12.8 Descartes Labs
     12.9 Prospera
     12.10 Mavrx
     12.11 Awhere
     12.12 Key Innovators
             12.12.1 Gamaya
             12.12.2 Ec2ce
             12.12.3 Precision Hawk
             12.12.4 Skysquirrel Technologies
             12.12.5 Cainthus
     12.13 Other Companies
             12.13.1 Tule Technologies
             12.13.2 Resson
             12.13.3 Farmbot
             12.13.4 Connecterra
             12.13.5 Vision Robotics
             12.13.6 Harvest Croo
             12.13.7 Autonomous Tractor Corporation
             12.13.8 Trace Genomics
             12.13.9 Vine Rangers
             12.13.10 Cropx
             12.13.11 Spensa Technologies

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

13 Appendix (Page No. - 154)
     13.1 Insights of Industry Experts
     13.2 Discussion Guide
     13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.4 Introducing RT: Real-Time Market Intelligence
     13.5 Available Customizations
     13.6 Related Reports
     13.7 Author Details


List of Tables (75 Tables)

Table 1 AI in Agriculture Market, By Technology, 2014–2025 (USD Million)
Table 2 Market for Machine Learning Technology, By Region, 2014–2025 (USD Million)
Table 3 Market for Computer Vision Technology, By Region, 2014–2025 (USD Million)
Table 4 Market for Predictive Analytics Technology, By Region, 2014–2025 (USD Million)
Table 5 Market, By Offering, 2014–2025 (USD Million)
Table 6 Market for Hardware Segment, By Type, 2014–2025 (USD Million)
Table 7 Market for Hardware Segment, By Region, 2014–2025 (USD Million)
Table 8 Market for Processors, By Type, 2014–2025 (USD Million)
Table 9 Market for Software Segment, By Type, 2014–2025 (USD Million)
Table 10 Market for Software Segment, By Region, 2014–2025 (USD Million)
Table 11 Market for AI Platforms , By Platform Type, 2014–2025 (USD Million)
Table 12 Market for AI Solutions , By Deployment Type, 2014–2025 (USD Million)
Table 13 Market for Services, By Type, 2014–2025 (USD Million)
Table 14 Market for Services, By Region, 2014–2025 (USD Million)
Table 15 Market, By Application, 2014–2025 (USD Million)
Table 16 Market for Precision Farming Application, By Region 2014–2025 (USD Million)
Table 17 Market for Precision Farming Application, By Type, 2014–2025 (USD Million)
Table 18 Market for Precision Farming Application in Americas, By Region, 2014–2025 (USD Million)
Table 19 Market in North America for Precision Farming Application, By Country, 2014–2025 (USD Million)
Table 20 Market in South America for Precision Farming Application, By Country, 2014–2025 (USD Million)
Table 21 Market in Europe for Precision Farming Application, By Country, 2014–2025 (USD Million)
Table 22 Market in Asia Pacific for Precision Farming Application, By Country, 2014–2025 (USD Million)
Table 23 Market in RoW for Precision Farming Application, By Region, 2014–2025 (USD Million)
Table 24 Market for Livestock Monitoring Application, By Region, 2014–2025 (USD Million)
Table 25 Market in Americas for Livestock Monitoring Application, By Region, 2014–2025 (USD Million)
Table 26 Market in North America for Livestock Monitoring Application, By Country 2014–2025, (USD Million)
Table 27 Market in South America for Livestock Monitoring Application, By Country, 2014–2025 (USD Million)
Table 28 Market in Europe for Livestock Monitoring Application, By Country, 2014–2025 (USD Million)
Table 29 Market in Asia Pacific for Livestock Monitoring Application, By Country, 2014–2025 (USD Million)
Table 30 Market in RoW for Livestock Monitoring Application, By Region, 2014–2025 (USD Million)
Table 31 Market for Drone Analytics Application, By Region, 2014–2025 (USD Million)
Table 32 Market in Americas for Drone Analytics Application, By Region, 2014–2025 (USD Million)
Table 33 Market in North America for Drone Analytics Application, By Country, 2014–2025 (USD Million)
Table 34 Market in South America for Drone Analytics Application, By Country, 2014–2025 (USD Million)
Table 35 Market in Europe for Drone Analytics Application, By Country, 2014–2025 (USD Million)
Table 36 Market in Asia Pacific for Drone Analytics Application, By Country, 2014–2025 (USD Million)
Table 37 Market in RoW for Drone Analytics Application, By Region, 2014–2025 (USD Million)
Table 38 Market for Agriculture Robots Application, By Region, 2014–2025 (USD Million)
Table 39 Market in Americas for Agriculture Robots Application, By Region, 2014–2025 (USD Million)
Table 40 Market in North America for Agriculture Robots Application, By Country, 2014–2025 (USD Million)
Table 41 Market in South America for Agriculture Robots, By Country, 2014–2025 (USD Million)
Table 42 Market in Europe for Agriculture Robots Application, By Country, 2014–2025 (USD Million)
Table 43 Market in Asia Pacific for Agriculture Robots Application, By Country, 2014–2025 (USD Million)
Table 44 Market in RoW for Agriculture Robots Application, By Region, 2014–2025 (USD Million)
Table 45 Market for Other Applications, By Region, 2014–2025 (USD Million)
Table 46 Market in Americas for Other Applications, By Region, 2014–2025 (USD Million)
Table 47 Market in North America for Other Applications, By Country, 2014–2025 (USD Million)
Table 48 Market in South America for Other Applications, By Country, 2014–2025 (USD Million)
Table 49 Market in Europe for Other Applications, By Country, 2014–2025 (USD Million)
Table 50 Market in Asia Pacific for Other Applications, By Country, 2014–2025 (USD Million)
Table 51 Market in RoW for Other Applications, By Region, 2014–2025 (USD Million)
Table 52 Market, By Region, 2014–2025 (USD Million)
Table 53 Market in Americas, By Application, 2014–2025 (USD Million)
Table 54 Market in Americas, By Technology, 2014–2025 (USD Million)
Table 55 Market in Americas, By Offering, 2014–2025 (USD Million)
Table 56 Market in Americas, By Region, 2014–2025 (USD Million)
Table 57 Market in North America, By Country, 2014–2025 (USD Million)
Table 58 Market in South America, By Country, 2014–2025 (USD Million)
Table 59 Market in Europe, By Application, 2014–2025 (USD Million)
Table 60 Market in Europe, By Technology, 2014–2025 (USD Million)
Table 61 Market in Europe, By Offering, 2014–2025 (USD Million)
Table 62 Market in Europe, By Country, 2014–2025 (USD Million)
Table 63 Market in Asia Pacific, By Application, 2014–2025 (USD Million)
Table 64 Market in Asia Pacific, By Technology, 2014–2025 (USD Million)
Table 65 Market in Asia Pacific, By Offering, 2014–2025 (USD Million)
Table 66 Market in Asia Pacific, By Country, 2014–2025 (USD Million)
Table 67 Market in RoW, By Application, 2014–2025 (USD Million)
Table 68 Market in RoW, By Technology, 2014–2025 (USD Million)
Table 69 Market in RoW, By Offering, 2014–2025 (USD Million)
Table 70 Market in RoW, By Region, 2014–2025 (USD Million)
Table 71 Ranking Analysis of the Top Players in the Artificial Intelligence (AI) in Agriculture Market, 2016
Table 72 Market Evaluation Framework—Partnerships and Agreements Emerged as Major Growth Strategies Between 2014 and 2017
Table 73 Product Launches, 2014–2017
Table 74 Partnerships, Agreements, and Collaborations, 2014–2017
Table 75 Mergers & Acquisitions, 2014–2017


List of Figures (47 Figures)

Figure 1 AI in Agriculture Market Segmentation
Figure 2 Geographic Scope
Figure 3 Market: Research Design
Figure 4 Market Size Estimation Methodology: Bottom-Up Approach
Figure 5 Market Size Estimation Methodology: Top-Down Approach
Figure 6 Market Breakdown and Data Triangulation
Figure 7 Assumptions for Research Study
Figure 8 Global Market, 2014–2025 (USD Million)
Figure 9 Software Segment Expected to Hold the Largest Size of the Market During the Forecast Period
Figure 10 Market for Drone Analytics Application Expected to Grow at the Highest Rate During the Forecast Period
Figure 11 Computer Vision Technology Expected to Grow at the Highest Rate During the Forecast Period
Figure 12 Market in APAC Expected to Grow at the Highest Rate During the Forecast Period
Figure 13 Market to Grow at A High Rate Between 2017 and 2025
Figure 14 Australia to Hold the Largest Share in 2017
Figure 15 US Held the Largest Share of the Global Market in 2016
Figure 16 Software Segment Held the Largest Market Share in 2016
Figure 17 Machine Learning Technology Expected to Hold the Largest Market Size During the Forecast Period
Figure 18 Artificial Intelligence (AI) in Agriculture Market: Drivers, Restraints, Opportunities, and Challenges
Figure 19 Estimated Amount of Data Generated By the Iot-Connected Farm Each Day (2015–2025)
Figure 20 Software, Hardware, and Testing Solution Providers Play A Crucial Role in the Value Chain of Market
Figure 21 Market for Computer Vision Technology Expected to Grow at the Highest CAGR Between 2017 and 2025
Figure 22 Americas to Hold the Largest Market Size for Computer Vision Technology During 2017–2025
Figure 23 Market in Asia Pacific for Predictive Analytics Technology Expected to Grow at the Highest CAGR During the Forecast Period
Figure 24 Market for Hardware Segment Estimated to Grow at the Highest CAGR Between 2017 and 2025
Figure 25 Market in Asia Pacific for Hardware Segment Expected to Grow at the Highest CAGR During the Forecast Period
Figure 26 Market for AI Platform Software Expected to Grow at the Highest CAGR During the Forecast Period
Figure 27 Americas Held the Largest Size of the Market for Services in 2016
Figure 28 Market, By Application, 2017 vs 2025 (USD Million)
Figure 29 Americas Expected to Hold the Largest Size of the Market for Precision Farming By 2025
Figure 30 Market in Mexico for Precision Farming Application Expected to Grow at the Highest CAGR During the Forecast Period
Figure 31 Market in Germany for Precision Farming Application Expected to Grow at the Highest CAGR During the Forecast Period
Figure 32 Americas Expected to Dominate the Market for Livestock Monitoring Applications During 2017–2023
Figure 33 Brazil to Account for the Largest Size of the Market for Livestock Monitoring Application By 2025
Figure 34 Asia Pacific Expected to Exhibit the Highest Growth in the Market for Drone Analytics Application During the Forecast Period
Figure 35 Brazil Likely to Account for the Largest Size of the Market for Drone Analytics Application By 2025
Figure 36 Americas to Hold the Largest Size of the Market for Agriculture Robots Application By 2025
Figure 37 Market in Argentina for Agriculture Robots Expected to Grow at the Highest CAGR During the Forecast Period
Figure 38 Americas to Account for the Largest Size of the Market for Other Applications By 2025
Figure 39 Geographic Snapshot: Rapidly Growing Markets Such as Australia, China, and India are Emerging as New Hot Spots for the Global Market
Figure 40 Americas: Market Snapshot
Figure 41 Europe: Market Snapshot
Figure 42 APAC: Market Snapshot
Figure 43 Partnerships, Agreements, & Acquisitions Emerged as Key Growth Strategies Adopted By Companies Between 2014 and 2017
Figure 44 Geographic Revenue Mix of Major Market Players
Figure 45 IBM : Company Snapshot
Figure 46 Deere & Company: Company Snapshot
Figure 47 Microsoft: Company Snapshot

The study involved 4 major activities in estimating the current size of the AI in agriculture market. Exhaustive secondary research has been conducted to collect information about the market, the peer market, and the parent market. Validating findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments.

Secondary Research

The research methodology used to estimate and forecast the AI in agriculture market begins with capturing data on revenues of the key vendors in the market through secondary research. This study involves the use of extensive secondary sources, directories, and databases such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource to identify and collect information useful for the technical and commercial study of the market. Moreover, secondary sources include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized authors; directories; and databases. Secondary research has been mainly done to obtain key information about the industry’s supply chain, the market’s value chain, the total pool of key players, market classification and segmentation according to industry trends, geographic markets, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain the qualitative and quantitative information relevant to the market. Primary sources from the supply side include experts such as CEOs, vice presidents, marketing directors, technology and innovation directors, application developers, application users, and related executives from various key companies and organizations operating in the ecosystem of the market.

AI in Agriculture Market

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 overall size of the AI in agriculture market. These methods have also been used extensively to estimate the size of various market subsegments. The research methodology used to estimate the market size includes the following:

  • Key players in major applications 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 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, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides.

Report Objectives

  • To describe and forecast the market, in terms of value, by technology, deployment, function, offering, application and end user
  • To describe and forecast the market size, by region—Americas, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
  • To provide detailed information regarding the major factors influencing the growth (drivers, restraints, opportunities, and challenges)
  • To analyze opportunities in the market for stakeholders and detail the competitive landscape for market players
  • To map competitive intelligence based on company profiles, key player strategies, and game-changing developments such as product launches, partnerships, and acquisitions

Available Customizations:

Technology Analysis:

  • Detailed analysis of AI technology in agriculture application

Country-Wise Information:

  • Detailed analysis of various types of AI technology and application areas in each country

Company Information:

  • Detailed analysis and profiling of additional market players (up to 5)
Report Code
SE 5832
Published ON
Nov, 2019
Choose License Type
BUY NOW
  • SHARE
X
Request Customization
Speak to Analyst
Speak to Analyst
OR FACE-TO-FACE MEETING
PERSONALIZE THIS RESEARCH
  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
REQUEST A FREE CUSTOMIZATION
LET US HELP YOU!
  • What are the Known and Unknown Adjacencies Impacting the AI in Agriculture Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
CUSTOMIZED WORKSHOP REQUEST
ADJACENT MARKETS
REQUEST BUNDLE REPORTS
ONLINE CHAT
+1-888-600-6441
  • Call Us
  • +1-888-600-6441 (Corporate office hours)
  • +1-888-600-6441 (US/Can toll free)
  • +44-800-368-9399 (UK office hours)
CONNECT WITH US
ABOUT TRUST ONLINE
© MarketsandMarkets Research Private Ltd. All rights reserved
...

Digital Virtual Assistant - MarketsandMarkets

Home