Artificial Intelligence in Agriculture Market 2025 by Types, Application, Technology, Opportunities, End Users and Regions | The Insight Partners

Artificial Intelligence in Agriculture Market to 2025 - Global Analysis and Forecasts by Type (Machine Learning, Computer Vision, and Predictive Analytics), Component (Hardware, Service, Software), Application (Crop and Soil Monitoring, Predictive Agricultural Analytics, Supply Chain Efficiencies, Agriculture Robots, and Drone Analytics)

Report Code: TIPTE100001301 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming
AI having applications in various sectors including agriculture has completely transformed the approaches of the agriculture market. AI in Agriculture helps the farmers in examining weather, soil, and field data to improve farming operations and crop productivity. AI in the agriculture market seems to be driven by the Internet of Things (IoT) due to its ability to revolutionize and transform current farming methods to a new level. Although, collecting accurate field data requires high initial investments which may hamper the growth of AI in the agriculture market.

The "Global Artificial Intelligence in Agriculture Analysis to 2025" is a specialized and in-depth study of the Artificial Intelligence in Agriculture industry with a focus on the global market trend. The report aims to provide an overview of global Artificial Intelligence in Agriculture with detailed market segmentation by type, component, application, and geography. The global Artificial Intelligence in Agriculture is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Agriculture based on by type, component, and application. It also provides market size and forecast till 2025 for overall Artificial Intelligence in Agriculture with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 counties globally along with current trend and opportunities prevailing in the region.

Besides this, the report analyzes factors affecting market from both demand and supply side and further drivers evaluate market dynamics affecting the market during the forecast period i.e., restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors affecting the market in these regions.

Also, key Artificial Intelligence in Agriculture players influencing the market is profiled in the study along with their SWOT analysis and market strategies. The report also focuses on leading industry players with information such as company profiles, products and services offered, financial information for the last 3 years, and the key development for past five years. Some of the key players influencing the market are Ag Leader Technology, Trimble Inc., Agribotix LLC, Granular, Inc., SAP, Mavrx Inc., PrecisionHawk, aWhere, IBM, and Prospera Technologies among others.
1 Introduction
1.1 Scope of Study
1.2 The Insight Partners Research Report Guidance

2 Key Takeaways
3 Artificial Intelligence in Agriculture Market Landscape
3.1 Market Overview
3.2 Market Segmentation
3.2.1 Artificial Intelligence in Agriculture Market - By Type
3.2.2 Artificial Intelligence in Agriculture Market - By Component
3.2.3 Artificial Intelligence in Agriculture Market- By Application
3.2.4 Artificial Intelligence in Agriculture Market- By Region
3.2.4.1 By Countries
3.3 PEST Analysis
3.3.1 North America - PEST Analysis
3.3.2 Europe - PEST Analysis
3.3.3 Asia Pacific - PEST Analysis
3.3.4 Middle East and Africa - PEST Analysis
3.3.5 South America - PEST Analysis

4 Artificial Intelligence in Agriculture - Key Industry Dynamics
4.1 Key Market Drivers
4.2 Key Market Restraints
4.3 Key Market Opportunities
4.4 Future Trends
4.5 Impact Analysis

5 5.1 Artificial Intelligence in Agriculture Analysis- Global
5.1 Artificial Intelligence in Agriculture Market Overview
5.2 Artificial Intelligence in Agriculture Market Forecasts and Analysis



6 Artificial Intelligence in Agriculture Market Revenue and Forecasts to 2025 - Type
6.1 Overview
6.2 Type Market Forecasts and Analysis
6.3 Machine Learning
6.3.1 Overview
6.3.2 Machine Learning Market Forecasts and Analysis
6.4 Computer Vision
6.4.1 Overview
6.4.2 Computer Vision Market Forecasts and Analysis
6.5 Predictive Analytics
6.5.1 Overview
6.5.2 Predictive Analytics Market Forecast and Analysis
7 Artificial Intelligence in Agriculture Market Revenue and Forecasts to 2025 - Component
7.1 Overview
7.2 Component Market Forecasts and Analysis
7.3 Hardware
7.3.1 Overview
7.3.2 Hardware Market Forecasts and Analysis
7.3.2.1 Processor
7.3.2.1.1 Overview
7.3.2.1.2 Processor Market Forecasts and Analysis
7.3.2.2 Storage Device
7.3.2.2.1 Overview
7.3.2.2.2 Storage Device Market Forecasts and Analysis
7.3.2.3 Network
7.3.2.3.1 Overview
7.3.2.3.2 Network Market Forecasts and Analysis
7.4 Service
7.4.1 Overview
7.4.2 Service Market Forecasts and Analysis
7.4.2.1 Deployment & Integration
7.4.2.1.1 Overview
7.4.2.1.2 Deployment & Integration Market Forecasts and Analysis
7.4.2.2 Support & Maintenance
7.4.2.2.1 Support & Maintenance Market Forecasts and Analysis
7.5 Software
7.5.1 Overview
7.5.2 Software Market Forecast and Analysis
7.5.2.1 AI Solution
7.5.2.1.1 Overview
7.5.2.1.2 AI Solution Market Forecasts and Analysis
7.5.2.2 AI Platform
7.5.2.2.1 Overview
7.5.2.2.2 AI Platform Market Forecasts and Analysis
8 Artificial Intelligence in Agriculture Market Revenue and Forecasts to 2025 - Application
8.1 Overview
8.2 Application Market Forecasts and Analysis
8.3 Crop and Soil Monitoring
8.3.1 Overview
8.3.2 Crop and Soil Monitoring Market Forecasts and Analysis
8.4 Predictive Agricultural Analytics
8.4.1 Overview
8.4.2 Predictive Agricultural Analytics Forecasts and Analysis
8.5 Supply Chain Efficiencies
8.5.1 Overview
8.5.2 Supply Chain Efficiencies Market Forecasts and Analysis
8.6 Agriculture Robots
8.6.1 Overview
8.6.2 Agricultural Robots Market Forecasts and Analysis
8.7 Drone Analytics
8.7.1 Overview
8.7.2 Drone Analytics Market Forecasts and Analysis
8.8 Other
8.8.1 Overview
8.8.2 Other Market Forecasts and Analysis

9 Artificial Intelligence in Agriculture Market Revenue and Forecasts to 2025 - Geographical Analysis
9.1 North America
9.1.1 North America Artificial Intelligence in Agriculture Market Overview
9.1.2 North America Artificial Intelligence in Agriculture Market Forecasts and Analysis
9.1.2.1 North America Market Forecasts and Analysis - By Countries
9.1.2.1.1 US market
9.1.2.1.2 Canada market
9.1.2.1.3 Mexico market
9.1.3 North America Market Forecasts and Analysis - By Type
9.1.4 North America Market Forecasts and Analysis - By Component
9.1.5 North America Market Forecasts and Analysis - By Application
9.2 Europe
9.2.1 Europe Artificial Intelligence in Agriculture Market Overview
9.2.2 Europe Artificial Intelligence in Agriculture Market Forecasts and Analysis
9.2.2.1 Europe Market Forecasts and Analysis - By Countries
9.2.2.1.1 France market
9.2.2.1.2 Germany market
9.2.2.1.3 Italy market
9.2.2.1.4 Spain market
9.2.2.1.5 UK market
9.2.2.2 Europe Market Forecasts and Analysis - By Type
9.2.2.3 Europe Market Forecasts and Analysis - By Component
9.2.2.4 Europe Market Forecasts and Analysis - By Application
9.3 Asia pacific (APAC)
9.3.1 Asia Pacific Artificial Intelligence in Agriculture Market Overview
9.3.2 Asia Pacific Artificial Intelligence in Agriculture Market Forecasts and Analysis
9.3.2.1 Asia Pacific Market Forecasts and Analysis - By Countries
9.3.2.1.1 Australia market
9.3.2.1.2 China market
9.3.2.1.3 India market
9.3.2.1.4 Japan market
9.3.3 Asia Pacific Market Forecasts and Analysis - By Type
9.3.4 Asia Pacific Market Forecasts and Analysis - By Component
9.3.5 Asia Pacific Market Forecasts and Analysis - By Application
9.4 Middle East and Africa (MEA)
9.4.1 Middle East and Africa Artificial Intelligence in Agriculture Market Overview
9.4.2 Middle East and Africa Artificial Intelligence in Agriculture Market Forecasts and Analysis
9.4.2.1 Middle East and Africa Market Forecasts and Analysis - By Countries
9.4.2.1.1 South Africa market
9.4.2.1.2 Saudi Arabia market
9.4.2.1.3 UAE market
9.4.3 Middle East and Africa Market Forecasts and Analysis - By Type
9.4.4 Middle East and Africa Market Forecasts and Analysis - By Component
9.4.5 Middle East and Africa Market Forecasts and Analysis - By Application
9.5 South America (SAM)
9.5.1 South America Artificial Intelligence in Agriculture Market Overview
9.5.2 South America Artificial Intelligence in Agriculture Market Forecasts and Analysis
9.5.2.1 South America Market Forecasts and Analysis - By Countries
9.5.2.1.1 Brazil market
9.5.3 South America Market Forecasts and Analysis - By Type
9.5.4 South America Market Forecasts and Analysis - By Component
9.5.5 South America Market Forecasts and Analysis - By Application

10 Industry Landscape
10.1 Mergers & acquisitions
10.2 Market Initiatives
10.3 New developments
10.4 Investment scenarios

11 Competitive Landscape
11.1 Competitive Product mapping
11.2 Market Positioning/ Market Share

12 Artificial Intelligence in Agriculture Market, Key Company Profiles
12.1 Ag Leader Technology
12.1.1 Key Facts
12.1.2 Business Description
12.1.3 Financial Overview
12.1.4 SWOT Analysis
12.1.5 Key Developments
12.2 Trimble Inc.
12.2.1 Key Facts
12.2.2 Business Description
12.2.3 Financial Overview
12.2.4 SWOT Analysis
12.2.5 Key Developments
12.3 Agribotix LLC
12.3.1 Key Facts
12.3.2 Business Description
12.3.3 Financial Overview
12.3.4 SWOT Analysis
12.3.5 Key Developments
12.4 Granular, Inc.
12.4.1 Key Facts
12.4.2 Business Description
12.4.3 Financial Overview
12.4.4 SWOT Analysis
12.4.5 Key Developments
12.5 SAP
12.5.1 Key Facts
12.5.2 Business Description
12.5.3 Financial Overview
12.5.4 SWOT Analysis
12.5.5 Key Developments
12.6 Mavrx Inc.
12.6.1 Key Facts
12.6.2 Business Description
12.6.3 Financial Overview
12.6.4 SWOT Analysis
12.6.5 Key Developments
12.7 PrecisionHawk
12.7.1 Key Facts
12.7.2 Business Description
12.7.3 Financial Overview
12.7.4 SWOT Analysis
12.7.5 Key Developments
12.8 aWhere
12.8.1 Key Facts
12.8.2 Business Description
12.8.3 Financial Overview
12.8.4 SWOT Analysis
12.8.5 Key Developments
12.9 IBM
12.9.1 Key Facts
12.9.2 Business Description
12.9.3 Financial Overview
12.9.4 SWOT Analysis
12.9.5 Key Developments
12.10 Prospera Technologies
12.10.1 Key Facts
12.10.2 Business Description
12.10.3 Financial Overview
12.10.4 SWOT Analysis
12.10.5 Key Developments

13 Appendix
13.1 About The Insight Partners
13.2 Glossary of Terms
13.3 Research Methodology

The List of Companies

1. Ag Leader Technology
2. Trimble Inc.
3. Agribotix LLC
4. Granular, Inc.
5. SAP
6. Mavrx Inc.
7. PrecisionHawk
8. aWhere
9. IBM
10. Prospera Technologies

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