Global AI in Agriculture Market Key Players Competitive Survey Report 2023

Report ID: ARS10307 | Category: TECHNOLOGY & MEDIA | Pages: 122 | Format: PDF | Published Date: December 18,2023

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Report Description
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Report Summary

The global AI in Agriculture market size in 2022 is 1250.0 million US dollars, and it is expected to be 5927.2 million US dollars by 2029, with a compound annual growth rate of 24.90% expected in 2023-2029.

MARKET COMPETITIVE LANDSCAPE:
The main players in the AI in Agriculture market include IBM Corporation (US), Microsoft Corporation (US), Bayer AG (Germany), Google LLC (US), and John Deere & Company (US). The share of the top 3 players in the AI in Agriculture market is XX%.

REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, and North America accounted for XX%, Europe accounted for XX% of AI in Agriculture market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:
The report segments the market by Type and Application. Machine Learning accounted for XX% of AI in Agriculture market in 2022. Predictive Analytics share of XX%.
Precision Farming accounted for XX% of the AI in Agriculture market in 2022. Agricultural Robots accounts for XX%.

Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

COVID-19 Impact:
Outbreak of COVID-19 pandemic due to lockdown restrictions imposed by governments around the world has affected the growth of the global AI in Agriculture market in 2020. The containment measures taken by the governments of various countries in response to control the outbreak of COVID-19 disrupted the entire supply chain by creating logistical interruptions, transportation restrictions, and product supply across borders.

The report analyzes the key trends in each segment of the global AI in Agriculture market along with global and country-level forecasts from 2023 to 2028. Our report segments the market based on types and applications, thereby providing a detailed analysis of the market to help gain an in-depth understanding of the market and enable market participants, stakeholders, investors, etc. to have a clearer understanding of the market and judgment.

Key benefits to stakeholders:
The report provides a comprehensive quantitative analysis of various segments, historical and current market trends, market forecasts, and dynamics of the AI in Agriculture market for 2017-2028.
The research report provides the latest information on the market drivers, challenges and opportunities of the global AI in Agriculture market.
The study profiles the leading as well as the fastest growing regional markets. It further enables stakeholders to identify key country-level markets within each region.
Porter's Five Forces Analysis helps stakeholders assess the impact of new entrants, competitors, supplier strength, buyer strength, and threat of substitution. It helps stakeholders analyze the level of competition in the AI in Agriculture industry and its attractiveness.
The competitive landscape enables stakeholders to understand their competitive environment and gain insight into the current position of the key players in the market.

Chapter Outline
Chapter 1: Introduces the product overview, research purposes, and then includes economic analysis of global regions, inflation analysis, and the impact of the Russian-Ukrainian war on the market.
Chapters 2-4: Segmented the global AI in Agriculture market by type, application and region. Analyze the revenue of market segments from different perspectives.
Chapters 5-9: Provide North America, Europe, Asia-Pacific, Latin America and Middle East & Africa AI in Agriculture market type, application and country market segmentation data.
Chapter 10: Analysis of the competitive environment of AI in Agriculture market participants. This mainly includes the revenue and market share of the top players, along with the players' M&A and expansion in recent years.
Chapter 11: Analyzes the main companies in the AI in Agriculture industry, including their main businesses, products/services, revenue, gross margin, and the latest developments.
Chapters 12-14: Provide detailed AI in Agriculture market forecast data, broken down by type, application, and region to help understand future growth trends.
Chapter 15: Introduces the market dynamics, the trends factors and drivers factors of the market, and the challenges and restraints faced by manufacturers in the industry.

Highlights-Regions

North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Spain
Nordic
Asia Pacific
China
Japan
South Korea
India
Southeast Asia
Australia
Latin America
Brazil
Mexico
Argentina
Middle East & Africa
Egypt
South Africa
UAE
Turkey
Saudi Arabia

Player list
IBM Corporation (US)
Microsoft Corporation (US)
Bayer AG (Germany)
Google LLC (US)
John Deere & Company (US)
A.A.A Taranis Visual Ltd. (Israel)
AgEagle Aerial Systems Ltd. (US)
Gamaya SA (Switzerland)
AGCO Corporation (US)
AG Leader Technology (US)
Trimble Inc. (US)
Granular Inc. (US)

Types list
Machine Learning
Predictive Analytics
Computer Vision

Application list
Precision Farming
Agricultural Robots
Livestock Monitoring

Table of Content

1 AI in Agriculture Market Introduction and Overview
1.1 AI in Agriculture Definition
1.2 Research Purposes
1.3 Report Timeline
1.4 Economic Analysis of Global Regions
1.5 Inflation Analysis
1.6 The Impact of the Russian-Ukrainian War on the Market
1.7 Coronavirus Disease 2020 (COVID-19) Impact on Global
2 Global AI in Agriculture Historical Market Analysis by Type
2.1 Market Size Analysis by Types
2.2 Global AI in Agriculture Revenue and Market Share by Type
3 Global AI in Agriculture Historical Market Analysis by Application
3.1 Market Size Analysis by Application
3.2 Global AI in Agriculture Revenue Market Share by Application (2018-2023)
4 Global Market Growth Trends Analysis
4.1 Global AI in Agriculture Market Size (2018-2023)
4.2 AI in Agriculture Growth Trends Analysis by Regions
4.2.1 AI in Agriculture Market Size by Regions: 2018 VS 2023 VS 2029
4.2.2 AI in Agriculture Historic Revenue Market Size by Regions (2018-2023)
4.2.3 North America AI in Agriculture Market Size (2018-2023)
4.2.4 Europe AI in Agriculture Market Size (2018-2023)
4.2.5 Asia-Pacific AI in Agriculture Market Size (2018-2023)
4.2.6 Latin America AI in Agriculture Market Size (2018-2023)
4.2.7 Middle East & Africa AI in Agriculture Market Size (2018-2023)
5 North America
5.1 North America AI in Agriculture Revenue by Countries
5.1.1 North America AI in Agriculture Revenue by Countries (2018-2023)
5.2 North America AI in Agriculture Revenue by Types
5.3 North America AI in Agriculture Revenue by Applications
5.4 United States
5.5 Canada
6 Asia Pacific
6.1 Asia Pacific AI in Agriculture Revenue by Countries
6.1.1 Asia Pacific AI in Agriculture Revenue by Countries (2018-2023)
6.2 Asia Pacific AI in Agriculture Revenue by Types
6.3 Asia Pacific AI in Agriculture Revenue by Applications
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe AI in Agriculture Revenue by Countries
7.1.1 Europe AI in Agriculture Revenue by Countries (2018-2023)
7.2 Europe AI in Agriculture Revenue by Types
7.3 Europe AI in Agriculture Revenue by Applications
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
7.9 Spain
7.10 Nordic
8 Latin America
8.1 Latin America AI in Agriculture Revenue by Countries
8.1.1 Latin America AI in Agriculture Revenue by Countries (2018-2023)
8.2 Latin America AI in Agriculture Revenue by Types
8.3 Latin America AI in Agriculture Revenue by Applications
8.4 Brazil
8.5 Argentina
8.6 Mexico
9 Middle East & Africa
9.1 Middle East & Africa AI in Agriculture Revenue by Countries
9.1.1 Middle East & Africa AI in Agriculture Revenue by Countries (2018-2023)
9.2 Middle East & Africa AI in Agriculture Revenue by Types
9.3 Middle East & Africa AI in Agriculture Revenue by Applications
9.4 Egypt
9.5 South Africa
9.6 UAE
9.7 Turkey
9.8 Saudi Arabia
10 Global AI in Agriculture Market Competition, by Players
10.1 Global AI in Agriculture Revenue and Market Share by Players
10.2 Market Concentration Rate
10.2.1 Top 3 AI in Agriculture Players Market Share in 2022
10.2.2 Top 6 AI in Agriculture Players Market Share in 2022
10.2.3 Market Competition Trend
10.3 AI in Agriculture Players Head Office, Business Provided
10.4 AI in Agriculture Mergers & Acquisitions
10.5 AI in Agriculture New Entrants and Expansion Plans
11 Players Profiles11.1 IBM Corporation (US)
11.1.1 IBM Corporation (US) Company Profile
11.1.2 AI in Agriculture Product Overview
11.1.3 IBM Corporation (US) AI in Agriculture Market Performance (2018-2023)
11.1.4 IBM Corporation (US) Business Overview
11.1.5 Recent Developments and Plans
11.2 Microsoft Corporation (US)
11.2.1 Microsoft Corporation (US) Company Profile
11.2.2 AI in Agriculture Product Overview
11.2.3 Microsoft Corporation (US) AI in Agriculture Market Performance (2018-2023)
11.2.4 Microsoft Corporation (US) Business Overview
11.2.5 Recent Developments and Plans
11.3 Bayer AG (Germany)
11.3.1 Bayer AG (Germany) Company Profile
11.3.2 AI in Agriculture Product Overview
11.3.3 Bayer AG (Germany) AI in Agriculture Market Performance (2018-2023)
11.3.4 Bayer AG (Germany) Business Overview
11.3.5 Recent Developments and Plans
11.4 Google LLC (US)
11.4.1 Google LLC (US) Company Profile
11.4.2 AI in Agriculture Product Overview
11.4.3 Google LLC (US) AI in Agriculture Market Performance (2018-2023)
11.4.4 Google LLC (US) Business Overview
11.4.5 Recent Developments and Plans
11.5 John Deere & Company (US)
11.5.1 John Deere & Company (US) Company Profile
11.5.2 AI in Agriculture Product Overview
11.5.3 John Deere & Company (US) AI in Agriculture Market Performance (2018-2023)
11.5.4 John Deere & Company (US) Business Overview
11.5.5 Recent Developments and Plans
11.6 A.A.A Taranis Visual Ltd. (Israel)
11.6.1 A.A.A Taranis Visual Ltd. (Israel) Company Profile
11.6.2 AI in Agriculture Product Overview
11.6.3 A.A.A Taranis Visual Ltd. (Israel) AI in Agriculture Market Performance (2018-2023)
11.6.4 A.A.A Taranis Visual Ltd. (Israel) Business Overview
11.6.5 Recent Developments and Plans
11.7 AgEagle Aerial Systems Ltd. (US)
11.7.1 AgEagle Aerial Systems Ltd. (US) Company Profile
11.7.2 AI in Agriculture Product Overview
11.7.3 AgEagle Aerial Systems Ltd. (US) AI in Agriculture Market Performance (2018-2023)
11.7.4 AgEagle Aerial Systems Ltd. (US) Business Overview
11.7.5 Recent Developments and Plans
11.8 Gamaya SA (Switzerland)
11.8.1 Gamaya SA (Switzerland) Company Profile
11.8.2 AI in Agriculture Product Overview
11.8.3 Gamaya SA (Switzerland) AI in Agriculture Market Performance (2018-2023)
11.8.4 Gamaya SA (Switzerland) Business Overview
11.8.5 Recent Developments and Plans
11.9 AGCO Corporation (US)
11.9.1 AGCO Corporation (US) Company Profile
11.9.2 AI in Agriculture Product Overview
11.9.3 AGCO Corporation (US) AI in Agriculture Market Performance (2018-2023)
11.9.4 AGCO Corporation (US) Business Overview
11.9.5 Recent Developments and Plans
11.10 AG Leader Technology (US)
11.10.1 AG Leader Technology (US) Company Profile
11.10.2 AI in Agriculture Product Overview
11.10.3 AG Leader Technology (US) AI in Agriculture Market Performance (2018-2023)
11.10.4 AG Leader Technology (US) Business Overview
11.10.5 Recent Developments and Plans
11.11 Trimble Inc. (US)
11.11.1 Trimble Inc. (US) Company Profile
11.11.2 AI in Agriculture Product Overview
11.11.3 Trimble Inc. (US) AI in Agriculture Market Performance (2018-2023)
11.11.4 Trimble Inc. (US) Business Overview
11.11.5 Recent Developments and Plans
11.12 Granular Inc. (US)
11.12.1 Granular Inc. (US) Company Profile
11.12.2 AI in Agriculture Product Overview
11.12.3 Granular Inc. (US) AI in Agriculture Market Performance (2018-2023)
11.12.4 Granular Inc. (US) Business Overview
11.12.5 Recent Developments and Plans
12 Global AI in Agriculture Forecast Market Analysis by Type
12.1 Global AI in Agriculture Revenue Market Forecast by Type (2023-2029)
13 Global AI in Agriculture Forecast Market Analysis by Application
13.1 AI in Agriculture Revenue Market Forecast by Application (2023-2029)
14 Global Market Growth Forecast Analysis
14.1 Global AI in Agriculture Forecast Market Size (2023-2029)
14.2 AI in Agriculture Growth Trends Forecast Analysis by Regions
14.2.1 AI in Agriculture Revenue Forecast Market Size by Regions (2023-2029)
14.2.2 North America AI in Agriculture Forecast Market Size (2023-2029)
14.2.3 Europe AI in Agriculture Forecast Market Size (2023-2029)
14.2.4 Asia-Pacific AI in Agriculture Forecast Market Size (2023-2029)
14.2.5 Latin America AI in Agriculture Forecast Market Size (2023-2029)
14.2.6 Middle East & Africa AI in Agriculture Forecast Market Size (2023-2029)
15 AI in Agriculture Industry Dynamic Analysis
15.1 AI in Agriculture Market Trends Analysis
15.2 AI in Agriculture Market Drivers Analysis
15.3 AI in Agriculture Market Challenges Analysis
15.4 AI in Agriculture Market Restraints Analysis

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Global AI in Agriculture Market Key Players Competitive Survey Report 2023

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