The Artificial Intelligence (AI) in Agriculture Market sector is undergoing rapid transformation, with significant growth and innovations expected by 2030. In-depth market research offers a thorough analysis of market size, share, and emerging trends, providing essential insights into its expansion potential. The report explores market segmentation and definitions, emphasizing key components and growth drivers. Through the use of SWOT and PESTEL analyses, it evaluates the sector’s strengths, weaknesses, opportunities, and threats, while considering political, economic, social, technological, environmental, and legal influences. Expert evaluations of competitor strategies and recent developments shed light on geographical trends and forecast the market’s future direction, creating a solid framework for strategic planning and investment decisions.

Brief Overview of the Artificial Intelligence (AI) in Agriculture Market:

The global Artificial Intelligence (AI) in Agriculture Market is expected to experience substantial growth between 2024 and 2031. Starting from a steady growth rate in 2023, the market is anticipated to accelerate due to increasing strategic initiatives by key market players throughout the forecast period.

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 Which are the top companies operating in the Artificial Intelligence (AI) in Agriculture Market?

The report profiles noticeable organizations working in the water purifier showcase and the triumphant methodologies received by them. It likewise reveals insights about the share held by each organization and their contribution to the market's extension. This Global Artificial Intelligence (AI) in Agriculture Market report provides the information of the Top Companies in Artificial Intelligence (AI) in Agriculture Market in the market their business strategy, financial situation etc.

Hewlett Packard Enterprise Development LP (U.S.), Cisco Systems, Inc. (U.S.), IBM Corporation (U.S.), Microsoft (U.S.), Amazon Web Services Inc. (U.S.), Oracle (U.S.), Google LLC (U.S.), Broadcom (U.S.), Descartes Labs, Inc. (U.S.), Wipro Limited. (India), Deere & Company (U.S.), Granular, Inc. (U.S.), aWhere Inc. (U.S.), The Climate Corporation (U.S.), Agribotix LLC (U.S.), Tule Technologies Inc (U.S.), Prospera Technologies (Israel), CropX inc. (Israel), Harvest CROO Robotics LLC. (U.S.) and FarmBot (U.S.) among others

Report Scope and Market Segmentation

Which are the driving factors of the Artificial Intelligence (AI) in Agriculture Market?

The driving factors of the Artificial Intelligence (AI) in Agriculture Market are multifaceted and crucial for its growth and development. Technological advancements play a significant role by enhancing product efficiency, reducing costs, and introducing innovative features that cater to evolving consumer demands. Rising consumer interest and demand for keyword-related products and services further fuel market expansion. Favorable economic conditions, including increased disposable incomes, enable higher consumer spending, which benefits the market. Supportive regulatory environments, with policies that provide incentives and subsidies, also encourage growth, while globalization opens new opportunities by expanding market reach and international trade.

Artificial Intelligence (AI) in Agriculture Market - Competitive and Segmentation Analysis:

**Segments**

- **By Offering**
- Hardware
- Software
- Services

- **By Technology**
- Machine Learning
- Computer Vision
- Predictive Analytics

- **By Application**
- Precision Farming
- Livestock Monitoring
- Drone Analytics
- Agricultural Robots

- **By Region**
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa

The global artificial intelligence in agriculture market is projected to experience substantial growth over the forecast period from 2020 to 2030. This growth can be attributed to the increasing adoption of modern technologies in the agriculture sector to improve productivity and efficiency. The market is segmented based on offering, technology, application, and region. By offering, the market is classified into hardware, software, and services. The software segment is expected to witness significant growth due to the rising demand for AI-powered solutions for crop monitoring and yield forecasting. In terms of technology, machine learning, computer vision, and predictive analytics are the key segments that are driving the market. Machine learning, in particular, is widely used in agriculture for tasks such as crop disease detection and predictive analytics for weather forecasting. Application-wise, precision farming, livestock monitoring, drone analytics, and agricultural robots are the major segments contributing to market growth. Geographically, North America is anticipated to dominate the market owing to the presence of major players and the adoption of advanced technologies in the agriculture sector.

**Market Players**

- IBM
- Microsoft
- Deere & Company
- Ag Leader Technology
- Trimble Inc.
- Raven Industries
- Gamaya
- The Climate Corporation
- Prospera Technologies

Key market players in the global AI in agriculture market are actively engaging in partnerships, collaborations, and product launches to enhance their market presence. IBM and Microsoft are among the leading players that are investing significantly in AI technologies for agriculture applications. Deere & Company and Ag Leader Technology are focusing on developing precision farming solutions to cater to the increasing demand for smart farming techniques. Trimble Inc. and Raven Industries are key players providing advanced technologies for crop monitoring and analytics. Gamaya and Prospera Technologies are prominent players in the drone analytics segment, offering solutions for aerial imaging and data analytics in agriculture. The Climate Corporation is known for its digital agriculture platform that integrates AI and data analytics for improved decision-making in farming practices.

For more detailed insights, visit: https://www.databridgemarketresearch.com/reports/global-ai-agriculture-marketThe global artificial intelligence in agriculture market is poised for significant growth in the coming years as technological advancements continue to transform the agriculture sector. One key trend that is expected to shape the market is the increasing focus on sustainable agriculture practices. AI technologies can help farmers optimize resource utilization, reduce wastage, and minimize environmental impact. Moreover, the integration of AI with precision farming techniques is enabling farmers to make data-driven decisions to enhance crop yield and quality. This trend is particularly prominent in regions like North America and Europe where sustainability and efficiency in agriculture are key priorities.

Another driving factor for the market is the growing demand for smart farming solutions to address the challenges posed by a growing global population and the need for increased food production. AI-powered technologies such as machine learning and computer vision are enabling farmers to automate tasks, monitor crop health, and manage resources more effectively. The adoption of agricultural robots for tasks like planting, spraying, and harvesting is also on the rise, contributing to improved efficiency and productivity in the agriculture sector.

In terms of market competition, key players such as IBM, Microsoft, and Deere & Company are at the forefront of driving innovation in AI for agriculture. These companies are continuously investing in research and development to enhance the capabilities of AI technologies for specific agricultural applications. Strategic partnerships and collaborations are common in the market as players seek to leverage each other's strengths and expertise to develop comprehensive solutions for farmers.

Furthermore, the evolution of AI in agriculture is not only revolutionizing traditional farming practices but also opening up new opportunities for technology vendors and startups to enter the market with niche solutions. Companies like Ag Leader Technology, Trimble Inc., and Raven Industries are focusing on providing specialized precision farming technologies to cater to the evolving needs of modern farmers. The development of AI-powered drones for aerial imaging and data collection is another area of growth, with players like Gamaya and Prospera Technologies offering advanced analytics solutions for actionable insights in agriculture.

Overall, the global AI in agriculture market presents a dynamic landscape with immense potential for growth and innovation. As AI technologies continue to mature and adoption rates increase across different regions, the agriculture sector is expected to witness a transformation towards more sustainable, efficient, and productive practices. The convergence of AI, data analytics, and precision farming is reshaping the future of agriculture, paving the way for a new era of smart farming that is driven by data-driven decision-making and automation.**Segments**

Global Artificial Intelligence (AI) in Agriculture Market, By Offering (Hardware, Software, and Service and Artificial Intelligence-as-a-Service), Technology (Predictive Analytics, Machine Learning, and Computer Vision), Application (Livestock Monitoring, Precision Farming, Agriculture Robots, Livestock Monitoring, and Drone Analytics) & Industry Trends and Forecast to 2030.

In the global artificial intelligence in agriculture market, the offering segment includes hardware, software, services, and Artificial Intelligence-as-a-Service. The technology segment comprises predictive analytics, machine learning, and computer vision. When it comes to application, the market is categorized into livestock monitoring, precision farming, agricultural robots, drone analytics, and more. Looking at the trends and forecast up to 2030, the industry is expected to witness significant growth driven by advancements in AI technologies tailored for agricultural applications.

**Market Players**

- Hewlett Packard Enterprise Development LP (U.S.)
- Cisco Systems, Inc. (U.S.)
- IBM Corporation (U.S.)
- Microsoft (U.S.)
- Amazon Web Services Inc. (U.S.)
- Oracle (U.S.)
- Google LLC (U.S.)
- Broadcom (U.S.)
- Descartes Labs, Inc. (U.S.)
- Wipro Limited. (India)
- Deere & Company (U.S.)
- Granular, Inc. (U.S.)
- aWhere Inc. (U.S.)
- The Climate Corporation (U.S.)
- Agribotix LLC (U.S.)
- Tule Technologies Inc (U.S.)
- Prospera Technologies (Israel)
- CropX inc. (Israel)
- Harvest CROO Robotics LLC. (U.S.)
- FarmBot (U.S.)

The global artificial intelligence in agriculture market is witnessing rapid growth and transformation with key industry players actively engaging in partnerships, product innovations, and strategic collaborations to capitalize on the growing demand for AI solutions in agriculture. Companies such as IBM, Microsoft, and Deere & Company are leading the way in driving innovation and research in AI technologies for agriculture applications. IBM and Microsoft, in particular, are investing heavily in developing AI solutions to enhance crop monitoring and yield forecasting.

Moreover, players like Amazon Web Services, Google, and Oracle are leveraging AI capabilities to provide cloud-based services tailored for the agriculture sector. The integration of AI with precision farming techniques by companies like Deere & Company and Wipro Limited is enabling farmers to make data-driven decisions for improved crop management and resource utilization. Granular, Inc. and aWhere Inc. are focused on providing data analytics solutions for better decision-making in agriculture, further driving market growth.

Additionally, startups and technology firms such as Prospera Technologies, CropX Inc., and Harvest CROO Robotics are bringing specialized AI solutions to address the evolving needs of modern agriculture. The development of AI-powered drones and robotics for tasks like aerial imaging, crop monitoring, and harvesting is reshaping farming practices and efficiency. With a strong emphasis on sustainability and efficiency, the market is poised for continued growth and innovation as AI technologies continue to revolutionize the agriculture industry landscape.

North America, particularly the United States, will continue to exert significant influence that cannot be overlooked. Any shifts in the United States could impact the development trajectory of the Artificial Intelligence (AI) in Agriculture Market. The North American market is poised for substantial growth over the forecast period. The region benefits from widespread adoption of advanced technologies and the presence of major industry players, creating abundant growth opportunities.

Similarly, Europe plays a crucial role in the global Artificial Intelligence (AI) in Agriculture Market, expected to exhibit impressive growth in CAGR from 2024 to 2030.

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Key Benefits for Industry Participants and Stakeholders: –

  • Industry drivers, trends, restraints, and opportunities are covered in the study.
  • Neutral perspective on the Artificial Intelligence (AI) in Agriculture Market scenario
  • Recent industry growth and new developments
  • Competitive landscape and strategies of key companies
  • The Historical, current, and estimated Artificial Intelligence (AI) in Agriculture Market size in terms of value and size
  • In-depth, comprehensive analysis and forecasting of the Artificial Intelligence (AI) in Agriculture Market

 Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historical data and forecast (2024-2031) of the following regions are covered in Chapters

The countries covered in the Artificial Intelligence (AI) in Agriculture Market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA

 Detailed TOC of Artificial Intelligence (AI) in Agriculture Market Insights and Forecast to 2030

Part 01: Executive Summary

Part 02: Scope Of The Report

Part 03: Research Methodology

Part 04: Artificial Intelligence (AI) in Agriculture Market Landscape

Part 05: Pipeline Analysis

Part 06: Artificial Intelligence (AI) in Agriculture Market Sizing

Part 07: Five Forces Analysis

Part 08: Artificial Intelligence (AI) in Agriculture Market Segmentation

Part 09: Customer Landscape

Part 10: Regional Landscape

Part 11: Decision Framework

Part 12: Drivers And Challenges

Part 13: Artificial Intelligence (AI) in Agriculture Market Trends

Part 14: Vendor Landscape

Part 15: Vendor Analysis

Part 16: Appendix

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