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AI in Agriculture Market Share 2022 – Global Trends, Market Demand, Industry Analysis, Growth, Opportunities and Forecast 2026

Global AI in Agriculture market research study provides a basic summary of the industry such as definitions, applications, classifications, and industry chain structure. The Global AI in Agriculture market analysis is offered for the global markets such as competitive landscape analysis, development trends, and major regions growth status.

Global AI in Agriculture Market research provides an in-depth precise analysis of market size, share, growth, trends and forecast. The AI in Agriculture Market including detailed description of market sizing and growth, value, the key opportunities in the AI in Agriculture Market and outlines the factors that are and will be driving the growth of the industry taking into consideration the previous growth patterns with forecast period 2022-2026. The AI in Agriculture Market research report provides insight into main drivers, challenges, opportunities and risk of the market. Key players are profiled as well with their market shares in the global AI in Agriculture Market discussed. Overall, this report covers the historical situation, present status and the future prospects. The AI in Agriculture Market research report encompasses research methodologies, and porter’s five forces analysis, product scope, CAGR status. Finally, the report offers a quantitative analysis of key countries according to their revenue share and latest technologies advancements in each region.

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About AI in Agriculture Market:

Artificial intelligence (AI) is a program that can adapt itself to execute tasks in real-time situations using cognitive processing as the human mind. As the program can analyze and adapt itself to real-time situations, it does not require constant supervision. In the agriculture industry, on the basis of application, AI technology has been segmented into robotics, crop and soil management, and animal husbandry.Based on technology, the AI in agriculture market has been classified into machine learning, computer vision, and predictive analytics.

Machine learning held the largest market size owing to the growing adoption of this technology for various applications of agriculture such as precision farming, drone analytics, agriculture robots, and livestock monitoring.Market Analysis and Insights: Global AI in Agriculture MarketThe global AI in Agriculture market size is projected to reach USD 692.8 million by 2026, from USD 608.8 million in 2020, at a CAGR of 12.8%% during 2021-2026.

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Here is List of BEST KEY PLAYERS Listed in AI in Agriculture Market Report are:-

  • Ag Leader Technology
  • Trimble
  • John Deere
  • Iteris
  • AGCO
  • aWhere
  • Gamaya
  • Granular
  • Raven Industries
  • Prospera
  • Skysquirrel Technologies

AI in Agriculture Market Segmentation By Type:

  • Machine Learning
  • Computer Vision
  • Predictive Analytics

AI in Agriculture Market Segmentation By Application:

  • Precision Farming
  • Livestock Monitoring
  • Drone Analytics
  • Agriculture Robots
  • Others

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The detailed information is based on current trends and historic milestones. This section also provides an analysis of the volume of production about the global market and about each type from 2017 to 2026. This section mentions the volume of production by region from 2017 to 2026. Pricing analysis is included in the report according to each type from the year 2017 to 2026, manufacturer from 2017 to 2022, region from 2017 to 2022, and global price from 2017 to 2026.

Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of AI in Agriculture in these regions, from 2015 to 2026, covering

  • North America (United States, Canada and Mexico)
  • Europe (Germany, UK, France, Italy, Russia and Turkey etc.)
  • Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
  • South America (Brazil, Argentina, Columbia etc.)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

AI in Agriculture Market Forecast by regions, type and application, with sales and revenue, from 2022 to 2026. AI in Agriculture Market Share, distributors, major suppliers, changing price patterns and the supply chain of raw materials is highlighted in the report. AI in Agriculture Market Size (sales, revenue) forecast by regions and countries from 2022 to 2026 of AI in Agriculture industry.The global AI in Agriculture market Growth is anticipated to rise at a considerable rate during the forecast period, between 2022 and 2026. In 2022, the market was growing at a steady rate and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

AI in Agriculture Market Trend for Development and marketing channels are analysed. Finally, the feasibility of new investment projects is assessed and overall research conclusions offered. AI in Agriculture Market Report also mentions market share accrued by each product in the AI in Agriculture market, along with the production growth.

Study Objectives of this report are:

  • To study and analyze the global AI in Agriculture market size (value and volume) by company, key regions/countries, products and application, history data from 2017 to 2020, and forecast to 2026.
  • To understand the structure of AI in Agriculture market by identifying its various subsegments.
  • To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
  • Focuses on the key global AI in Agriculture manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
  • To analyze the AI in Agriculture with respect to individual growth trends, future prospects, and their contribution to the total market.
  • To project the value and volume of AI in Agriculture submarkets, with respect to key regions (along with their respective key countries).
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
  • To strategically profile the key players and comprehensively analyze their growth strategies.

Key Stakeholders

  • Raw material suppliers
  • Distributors/traders/wholesalers/suppliers
  • Regulatory bodies, including government agencies and NGO
  • Commercial research and development (RandD) institutions
  • Importers and exporters
  • Government organizations, research organizations, and consulting firms
  • Trade associations and industry bodies
  • End-use industries

This AI in Agriculture Market Research/Analysis Report Contains Answers to your following Questions

  • Which Manufacturing Technology is used for AI in Agriculture? What Developments Are Going On in That Technology? Which Trends Are Causing These Developments?
  • Who Are the Global Key Players in This AI in Agriculture Market? What are Their Company Profile, Their Product Information, and Contact Information?
  • What Was Global Market Status of AI in Agriculture Market? What Was Capacity, Production Value, Cost and PROFIT of AI in Agriculture Market?
  • What Is Current Market Status of AI in Agriculture Industry? What’s Market Competition in This Industry, Both Company, and Country Wise? What’s Market Analysis of AI in Agriculture Market by Taking Applications and Types in Consideration?
  • What Are Projections of Global AI in Agriculture Industry Considering Capacity, Production and Production Value? What Will Be the Estimation of Cost and Profit? What Will Be Market Share, Supply and Consumption? What about Import and Export?
  • What Is AI in Agriculture Market Chain Analysis by Upstream Raw Materials and Downstream Industry?
  • What Is Economic Impact On AI in Agriculture Industry? What are Global Macroeconomic Environment Analysis Results? What Are Global Macroeconomic Environment Development Trends?
  • What Are Market Dynamics of AI in Agriculture Market? What Are Challenges and Opportunities?
  • What Should Be Entry Strategies, Countermeasures to Economic Impact, and Marketing Channels for AI in Agriculture Industry?

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Detailed TOC of Global AI in Agriculture Market Report 2022

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by AI in Agriculture Revenue
1.4 Market by Type
1.4.1 Global AI in Agriculture Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Machine Learning
1.4.3 Computer Vision
1.4.4 Predictive Analytics
1.5 Market by Application
1.5.1 Global AI in Agriculture Market Share by Application: 2020 VS 2026
1.5.2 Precision Farming
1.5.3 Livestock Monitoring
1.5.4 Drone Analytics
1.5.5 Agriculture Robots
1.5.6 Others
1.6 Study Objectives
1.7 Years Considered

2 Executive Summary
2.1 Global AI in Agriculture Market Perspective (2015-2026)
2.2 Global AI in Agriculture Growth Trends by Regions
2.2.1 AI in Agriculture Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 AI in Agriculture Historic Market Share by Regions (2018-2019)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers

3 Competition Landscape by Key Players
3.1 AI in Agriculture Revenue by Players (2019-2020)
3.2 AI in Agriculture Key Players Head office and Area Served
3.3 Key Players AI in Agriculture Product/Solution/Service
3.4 Date of Enter into AI in Agriculture Market
3.5 Key Players AI in Agriculture Funding/Investment Analysis
3.6 Global Key Players AI in Agriculture Valuation and Market Capitalization
3.7 Mergers and Acquisitions, Expansion Plans

4 Global AI in Agriculture Market Size by Type (2019-2026)

5 Global AI in Agriculture Market Size by Application (2019-2026)

6 North America
6.1 North America AI in Agriculture Market Forecast (2019-2026)
6.2 AI in Agriculture Key Players in North America (2019-2020)
6.3 North America AI in Agriculture Market Size by Type (2015-2020)
6.4 North America AI in Agriculture Market Size by Application (2015-2020)

7 Europe
7.1 Europe AI in Agriculture Market Forecast (2019-2026)
7.2 AI in Agriculture Key Players in Europe (2019-2020)
7.3 Europe AI in Agriculture Market Size by Type (2015-2020)
7.4 Europe AI in Agriculture Market Size by Application (2015-2020)

8 China
8.1 China AI in Agriculture Market Forecast (2019-2026)
8.2 AI in Agriculture Key Players in China (2019-2020)
8.3 China AI in Agriculture Market Size by Type (2015-2020)
8.4 China AI in Agriculture Market Size by Application (2015-2020)

9 Japan
9.1 Japan AI in Agriculture Market Forecast (2019-2026)
9.2 AI in Agriculture Key Players in Japan (2019-2020)
9.3 Japan AI in Agriculture Market Size by Type (2015-2020)
9.4 Japan AI in Agriculture Market Size by Application (2015-2020)

10 Southeast Asia
10.1 Southeast Asia AI in Agriculture Market Forecast (2019-2026)
10.2 AI in Agriculture Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia AI in Agriculture Market Size by Type (2015-2020)
10.4 Southeast Asia AI in Agriculture Market Size by Application (2015-2020)

11 India
11.1 India AI in Agriculture Market Forecast (2019-2026)
11.2 AI in Agriculture Key Players in India (2019-2020)
11.3 India AI in Agriculture Market Size by Type (2015-2020)
11.4 India AI in Agriculture Market Size by Application (2015-2020)

12 Central and South America
12.1 Central and South America AI in Agriculture Market Forecast (2019-2026)
12.2 AI in Agriculture Key Players in Central and South America (2019-2020)
12.3 Central and South America AI in Agriculture Market Size by Type (2015-2020)
12.4 Central and South America AI in Agriculture Market Size by Application (2015-2020)

13 Key Players Profiles
13.1 Ag Leader Technology
13.1.1 Ag Leader Technology Company Details
13.1.2 Ag Leader Technology Business Overview
13.1.3 Ag Leader Technology AI in Agriculture Introduction
13.1.4 Ag Leader Technology Revenue in AI in Agriculture Business (2019-2020))
13.1.5 Ag Leader Technology Recent Development
13.2 Trimble
13.2.1 Trimble Company Details
13.2.2 Trimble Business Overview
13.2.3 Trimble AI in Agriculture Introduction
13.2.4 Trimble Revenue in AI in Agriculture Business (2019-2020))
13.2.5 Trimble Recent Development
13.3 John Deere
13.3.1 John Deere Company Details
13.3.2 John Deere Business Overview
13.3.3 John Deere AI in Agriculture Introduction
13.3.4 John Deere Revenue in AI in Agriculture Business (2019-2020))
13.3.5 John Deere Recent Development
13.4 Iteris
13.4.1 Iteris Company Details
13.4.2 Iteris Business Overview
13.4.3 Iteris AI in Agriculture Introduction
13.4.4 Iteris Revenue in AI in Agriculture Business (2019-2020))
13.4.5 Iteris Recent Development
13.5 AGCO
13.5.1 AGCO Company Details
13.5.2 AGCO Business Overview
13.5.3 AGCO AI in Agriculture Introduction
13.5.4 AGCO Revenue in AI in Agriculture Business (2019-2020))
13.5.5 AGCO Recent Development
13.6 aWhere
13.6.1 aWhere Company Details
13.6.2 aWhere Business Overview
13.6.3 aWhere AI in Agriculture Introduction
13.6.4 aWhere Revenue in AI in Agriculture Business (2019-2020))
13.6.5 aWhere Recent Development
13.7 Gamaya
13.7.1 Gamaya Company Details
13.7.2 Gamaya Business Overview
13.7.3 Gamaya AI in Agriculture Introduction
13.7.4 Gamaya Revenue in AI in Agriculture Business (2019-2020))
13.7.5 Gamaya Recent Development
13.8 Granular
13.8.1 Granular Company Details
13.8.2 Granular Business Overview
13.8.3 Granular AI in Agriculture Introduction
13.8.4 Granular Revenue in AI in Agriculture Business (2019-2020))
13.8.5 Granular Recent Development
13.9 Raven Industries
13.9.1 Raven Industries Company Details
13.9.2 Raven Industries Business Overview
13.9.3 Raven Industries AI in Agriculture Introduction
13.9.4 Raven Industries Revenue in AI in Agriculture Business (2019-2020))
13.9.5 Raven Industries Recent Development
13.10 Prospera
13.10.1 Prospera Company Details
13.10.2 Prospera Business Overview
13.10.3 Prospera AI in Agriculture Introduction
13.10.4 Prospera Revenue in AI in Agriculture Business (2019-2020))
13.10.5 Prospera Recent Development
13.11 Skysquirrel Technologies
10.11.1 Skysquirrel Technologies Company Details
10.11.2 Skysquirrel Technologies Business Overview
10.11.3 Skysquirrel Technologies AI in Agriculture Introduction
10.11.4 Skysquirrel Technologies Revenue in AI in Agriculture Business (2019-2020))
10.11.5 Skysquirrel Technologies Recent Development

14 Market Dynamics
14.1 Drivers
14.2 Challenges
14.3 Porter’s Five Forces Analysis
14.4 Market Ecosystem and Value Chain Analysis

15 Key Findings in This Report
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details

Continued….

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