A Comprehensive historical analysis of Global Artificial Intelligence In Agriculture Market has thoroughly analyzed in this report. It offers data and insights from 2019-2022, and provides extensive market forecasts from 2022-2032 by region/country and subsectors. It covers the price, sales volume, revenue, historical growth, gross margin, and future outlooks for the Artificial Intelligence In Agriculture market.
The Global Artificial Intelligence in Agriculture Market Size is expected to reach USD 5.27 Billion by 2032, at a CAGR of 17.5% during the forecast period 2022 to 2032.
The report includes growth prospects in the global Artificial Intelligence In Agriculture market by type, application, sub segement and region and QMI has compiled a comprehensive detailed research report to offer insights. The report details consumption in the Information & Technology and other sectors. Regional coverage spans North America, Europe, and rest of the world including Asia Pacific.
Leading players of Artificial Intelligence In Agriculture including:
- Deere & Company
- IBM Corporation
- Microsoft Corporation
- Google LLC
- The Climate Corporation
- Farmers Edge Inc.
- Granular Inc.
- AgEagle Aerial Systems Inc.
- Descartes Labs, Inc.
- Raven Industries Inc.
- AGCO Corporation
- Gamaya SA
- Bayer AG
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Market split by Segement, can be divided into:
By Technology
- Machine Learning
- Computer Vision
- Predictive Analytics
By Offering
- Hardware
- Software
- AI-as-a-Service
- Service
Market segment by Region/Country including:
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- Uk
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia Pacific
- South America
- Brazil
- Argentina
- Rest of South America
- Middle East & Africa
- UAE
- Saudi Arabia
- Qatar
- South Africa
- Rest of Middle East & Africa
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- In May 2022, AGRA and Microsoft have announced an extension of their collaboration to enhance the digital transformation of agriculture in Africa, with the goal of enhancing food security. This partnership aims to provide support to governments, farmers, and SMEs in the region, enabling them to develop robust food systems by leveraging the digital tools offered by Microsoft.
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Whats covered in the report?
- 1. Overview of the Artificial Intelligence In Agriculture market.
- 2. The current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East and Africa) market size data for the Artificial Intelligence In Agriculture market, based on segement.
- 3. Artificial Intelligence In Agriculture Market trends.
- 4. Artificial Intelligence In Agriculture Market drivers.
- 5. Analysis of major company profiles.
Reasons to buy this Market Report:
1. Save time carrying out entry-level research by identifying the size, growth, and leading players in the emerging Artificial Intelligence In Agriculture market.
2. Use the SWOT analysis to determine the competitive intensity and therefore attractiveness of the emerging Artificial Intelligence In Agriculture Industry.
3. Leading company profiles reveal details of key Artificial Intelligence In Agriculture market players emerging five operations and financial performance.
4. Add weight to presentations and pitches by understanding the future growth prospects of the emerging Artificial Intelligence In Agriculture market with five year historical forecasts.
5. Compares data from North America, South America, Asia Pacific Europe and Middle East Africa, alongside individual chapters on each region.
6. Extensive information on factors that will amplify the growth of the Artificial Intelligence In Agriculture market over the upcoming seven years.
7. Accurate estimation of the global Artificial Intelligence In Agriculture market size.
8. Exact estimations of the upcoming trends and changes observed in the consumer behavior.
9. Growth of the global Artificial Intelligence In Agriculture market across the North & South America, EMEA, Asia Pacific, and Latin America.
10. Information about Artificial Intelligence In Agriculture market growth potential.
11. In-depth analysis of the industry’s competitive landscape and detailed information vis-a-vis on various vendors.
12. Furnishing of detailed information on the factors that will restrain the growth of the Artificial Intelligence In Agriculture market.
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