China AI in Agriculture Market is projected to grow at a robust CAGR over the next five years. The major factors driving the growth of market are rising adoption of information management systems, increasing population and technological advancements for increasing crop productivity. Based on technology, market has been classified into machine learning, computer vision and predictive analytics. In 2018, Machine learning holds largest market size due to rising adoption of AI technology for various applications like, drone, agriculture robots, precision farming etc. Moreover, increasing adoption of deep learning and computer vision technologies for agricultural applications drives the AI in Agriculture Market in China.

Years considered for this report:

Historical Year : 2014 - 2017

Base Year : 2018

Estimated : 2019

Forecast : 2020 - 2024

Objective of the Study:

  • To analyse and forecast the market size of AI in Agriculture, in terms of value.
  • To classify and forecast China AI in Agriculture based on technology, offering, application and regional distribution.
  • To identify drivers and challenges for China AI in Agriculture.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in China AI in Agriculture.
  • To conduct the pricing analysis for AI in Agriculture.
  • To identify and analyse the profile of leading players involved in the manufacturing of China AI in Agriculture.

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Some of the leading players in the China AI in Agriculture market are IBM, Granular, Microsoft, Deere & Company, Mavrx, Awhere, The Climate Corporation, Agribotix, Descartes Labs, Prospera etc.

TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across China. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analysed the service offerings, distribution channels and presence of all major collaboration service providers across China.

TechSci Research calculated the market size of China AI in Agriculture using a bottom-up approach, where data for various end user industries and its application across various product types were recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analysing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company website, news articles, press releases, company annual reports, investor presentations and financial reports were also used by TechSci Research.

Key Target Audience:

  • Artificial intelligence software and solution providers
  • Artificial intelligence technology providers
  • Electronic hardware equipment manufacturers
  • AI system providers
  • Research organizations and consulting companies.
  • Research Institutes
  • Industry associations
  • Market research and consulting firm.

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as collaboration service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, China AI in Agriculture market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Market, By Technology:
    • Machine Learning
    • Predictive Analytics
    • Computer Vision
  • Market, By Offering:
    • Hardware
    • Software
    • AI-As-A-Service
  • Market, By Application:
    • Precision Farming
    • Livestock Monitoring
    • Agriculture Robots
    • Drone
    • Others
  • Market, by Region:
    • East China
    • North & North-East China
    • Southwest China
    • South-Central China
    • Northwest China

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in AI in Agriculture.

Available Customizations:

With the given market data, TechSci Research offers customizations according the company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Profit Margin Analysis

  • Profit margin analysis in case of direct and indirect sales channel.

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1.    Product Overview

2.    Research Methodology

3.    Executive Summary

4.    Voice of Customers

4.1.  Product Awareness

4.2.  Overall Satisfaction

4.3.  Challenges

5.    China AI in Agriculture Market Landscape

6.    China AI in Agriculture Market Outlook

6.1.  Market Size & Forecast

6.1.1.     By Value         

6.2.  Market Share & Forecast

6.2.1.     By Technology (Machine Learning, Predictive Analytics and Computer Vision)

6.2.2.     By Offering (Hardware, Software and Service)

6.2.3.     By Application (Precision Farming, Livestock Monitoring, Agriculture Robots, Drone and Others)

6.3.  Market Attractiveness Index

7.    China Machine Learning AI in Agriculture Market Outlook

7.1.  Market Size & Forecast

7.1.1.     By Value         

7.2.  Market Share & Forecast

7.2.1.     By Application

8.    China Predictive Analytics AI in Agriculture Market Outlook

8.1.  Market Size & Forecast

8.1.1.     By Value         

8.2.  Market Share & Forecast

8.2.1.     By Application

9.    China Computer Vision AI in Agriculture Market Outlook

9.1.  Market Size & Forecast

9.1.1.     By Value         

9.2.  Market Share & Forecast

9.2.1.     By Application

10.  Market Dynamics

10.1.              Drivers

10.2.              Challenges

11.  Market Trends & Developments

12.  Price Point Analysis

13.  Policy & Regulatory

14.  China Economic Profile

15.  Competitive Landscape

Strategic Recommendations

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