Global Market for Artificial Intelligence (AI) In Agriculture Was Estimated at USD 2.69 Billion In the Year 2023 and is Projected to Reach A Revised Size of USD 16.71 Billion By 2032, Growing at A CAGR of 22.5% Over the Forecast Period 2024- 2032.

IMR posted new studies guide on AI in Agriculture Market Insights with self-defined Tables and charts in presentable format. In the Study you may locate new evolving Trends, Drivers, Restraints, Opportunities generated via targeting market related stakeholders. The boom of the AI in Agriculture marketplace became specifically driven with the aid of the growing R&D spending internationally.

Some of the Top Leading Key Players:

Deere & Company (US), IBM Corporation (US), Microsoft Corporation (US), The Climate Corporation (US), Farmers Edge Inc. (Canada), Hewlett Packard Enterprise Development LP (US), Cisco Systems Inc. (US), Google LLC (US), Amazon Web Services Inc (US), Corteva, Inc (US), AgEagle Aerial Systems Inc. (US), Descartes Labs Inc. (US) and Other Major Players.

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AI in Agriculture Market Synopsis:

Artificial Intelligence has become one of the most important technologies in every sector, including education, banking, robotics, agriculture, etc. In the agriculture sector, it is playing a very crucial role, and it is transforming the agriculture industry. Artificial Intelligence has improved crop production and real-time monitoring, harvesting, processing, and marketing.

Introspective Market Research offers comprehensive market research studies, providing valuable insights and strategic guidance to businesses worldwide. We ensure reliability and accuracy in our reports for informed decision-making. A very important area of this report is the in-depth company profiles and competitive analysis, offering invaluable insights into market players' overview, market role, operating business segments & Products, and financial performance. By evaluating crucial metrics like production volume, sales volume, and sales margin, we provide a comprehensive understanding of their market position.

Segmentation Analysis of the AI in Agriculture Market

By Type, the market is categorized into Solutions, Services. By Technology, the market is categorized into Machine Learning, Computer Vision, and Predictive Analytics. By Deployment, the market is categorized into Cloud, On-premise, and Hybrid. By Application, the market is categorized into Weather Tracking, Precision Farming, and Drone Analytics.

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AI in Agriculture Market Trend Analysis:

There has always been an issue of labor shortage in the agriculture industry. AI can solve this issue with automation in farming. With AI and automation, farmers can get work done without having more people, and some examples are Driverless tractors.

Key Industry Developments in the AI in Agriculture Market:

In June 2024, Cisco Investments, the venture arm of Cisco (NASDAQ: CSCO), launched a $1B AI investment fund to enhance the startup ecosystem and develop secure AI solutions. Initial investments include Cohere, Mistral AI, and Scale AI, aiming to boost customers’ AI readiness and support Cisco's AI innovation strategy. 

Regional Analysis

North America is Expected to Dominate the Market Over the Forecast period.

Geographically, the distinctive analysis of consumption, revenue, market share, and growth rate of the subsequent areas:

• North America (U.S., Canada, Mexico)
• Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
• Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
• Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
• Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
• South America (Brazil, Argentina, Rest of SA)

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In addition to investigating market intricacies, our look at focuses substantially on the holistic atmosphere of the AI in Agriculture marketplace. We examine the features and interdependencies of numerous market stakeholders, presenting insights into their roles in the enterprise. Furthermore, our wide-ranging geographical insurance allows a profound expertise of local traits.

The Study Addresses Key Questions About the Market

* What are the significant trends and dynamics?

* What are projections of the market considering capacity and production?

* Where will the strategic developments take the AI in Agriculture Market in the mid to long term?

* Who are the major players operating in the industry?

* What will the market size and growth rate be over the forecast period?

* What are the recent industry trends businesses can use to generate additional revenue streams?

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Strategic Points Covered in Table of Content of Global AI in Agriculture Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in Agriculture market

Chapter 2: Exclusive Summary - the basic information of the AI in Agriculture Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI in Agriculture

Chapter 4: Presenting the AI in Agriculture Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2024-2032

Chapter 6: Evaluating the leading manufacturers of the AI in Agriculture market which consists of its Competitive Landscape, Competitive Positioning, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2024-2032)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

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