The Artificial Intelligence in Agriculture Market sector is undergoing rapid transformation, with significant growth and innovations expected by 2031. 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.
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Which are the top companies operating in the Artificial Intelligence 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 in Agriculture Market report provides the information of the Top Companies in Artificial Intelligence 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 in Agriculture Market?
The driving factors of the Artificial Intelligence 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 in Agriculture Market – Competitive and Segmentation Analysis:
**Segments**
– On the basis of technology in 2031, the market is categorized into machine learning, computer vision, natural language processing, and others. Machine learning is expected to hold a significant market share as it allows AI systems to learn from data and improve their performance over time. Computer vision is also anticipated to witness substantial growth due to its application in monitoring crop health and detecting pests and diseases.
– In terms of component by 2031, the market is segmented into hardware, software, and services. The software segment is likely to dominate the market as AI algorithms play a crucial role in analyzing agricultural data and providing actionable insights. Hardware, including sensors and drones, is essential for data collection in precision agriculture, driving the demand for these components.
– Based on application in 2031, the AI in agriculture market is divided into precision farming, livestock monitoring, drone analytics, agricultural robots, and others. Precision farming is projected to lead the market as it enables farmers to optimize inputs such as water and fertilizers, resulting in higher yields and cost savings. The adoption of agricultural robots for tasks like seeding and harvesting is also expected to increase significantly.
**Market Players**
– Some of the key players operating in the global AI in agriculture market in 2031 include IBM Corporation, Microsoft Corporation, John Deere, Bayer AG, Deere & Company, Ag Leader Technology, aWhere Inc., and PrecisionHawk. These companies are focusing on strategic partnerships, product innovations, and acquisitions to strengthen their market position and expand their customer base. IBM and Microsoft, being tech giants, are leveraging their expertise in AI to develop cutting-edge solutions for the agriculture sector.
– Additionally, agricultural equipment manufacturers like John Deere and Bayer AG are integrating AI technologies into their products to enhance precision farming practices. Startups such as PrecisionHawk and aWhere Inc. are also gaining traction in the market with their specialized AI solutions tailored for agriculture. The competitive landscape is characterized by intense rivalry, withThe global AI in agriculture market in 2031 is witnessing significant growth and is poised for further expansion across various segments. In terms of technology, machine learning is expected to lead the market due to its ability to enhance AI systems’ performance over time by learning from data. This segment’s dominance is attributed to the growing need for advanced data analytics and insights in agriculture. Computer vision technology is also anticipated to experience substantial growth, driven by its applications in crop health monitoring, pest detection, and disease identification. Natural language processing, another key technology segment, is likely to contribute to the market’s growth by enabling efficient communication between humans and AI systems in agricultural operations.
The market segmentation based on components in 2031 highlights the key role of software, hardware, and services in driving AI adoption in agriculture. The software segment is expected to dominate the market owing to the pivotal role of AI algorithms in analyzing agricultural data and providing actionable insights for farmers. Hardware components such as sensors and drones play a crucial part in data collection and precision agriculture practices, thus driving the demand for these technologies. Additionally, AI-powered services are gaining traction as they provide support for implementing and managing AI solutions in agricultural operations, contributing to the overall market growth.
Regarding applications, the AI in agriculture market in 2031 is segmented into precision farming, livestock monitoring, drone analytics, agricultural robots, and others. Precision farming is projected to lead the market due to its ability to optimize input resources such as water and fertilizers, leading to increased yields and cost savings for farmers. The adoption of agricultural robots for tasks like seeding and harvesting is also expected to witness significant growth, driven by the need for automation and efficiency in agricultural practices. Drone analytics are being increasingly used for crop monitoring, yield estimation, and field mapping, contributing to the market’s expansion in the coming years.
Key players such as IBM Corporation, Microsoft Corporation, John Deere, Bayer AG, Deere & Company, Ag Leader Technology, aWhere Inc., and PrecisionHawk are**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 AI in agriculture market in 2031 is witnessing significant growth across various segments such as technology, components, and applications. Machine learning is expected to lead the market due to its capacity to improve AI systems’ performance over time by learning from data, catering to the increasing demand for advanced data analytics and insights in agriculture. Computer vision technology is also anticipated to grow substantially, fueled by its applications in crop health monitoring, pest detection, and disease identification. Similarly, natural language processing is likely to contribute to market growth by enabling efficient communication between humans and AI systems in agricultural operations.
In terms of components, the software
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 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 in Agriculture Market, expected to exhibit impressive growth in CAGR from 2024 to 2031.
Explore Further Details about This Research Artificial Intelligence in Agriculture Market Report https://www.databridgemarketresearch.com/reports/global-ai-agriculture-market
Key Benefits for Industry Participants and Stakeholders: –
- Industry drivers, trends, restraints, and opportunities are covered in the study.
- Neutral perspective on the Artificial Intelligence in Agriculture Market scenario
- Recent industry growth and new developments
- Competitive landscape and strategies of key companies
- The Historical, current, and estimated Artificial Intelligence in Agriculture Market size in terms of value and size
- In-depth, comprehensive analysis and forecasting of the Artificial Intelligence 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 in Agriculture Market report are U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, and Rest of the Middle East and Africa
Detailed TOC of Artificial Intelligence in Agriculture Market Insights and Forecast to 2031
Part 01: Executive Summary
Part 02: Scope Of The Report
Part 03: Research Methodology
Part 04: Artificial Intelligence in Agriculture Market Landscape
Part 05: Pipeline Analysis
Part 06: Artificial Intelligence in Agriculture Market Sizing
Part 07: Five Forces Analysis
Part 08: Artificial Intelligence 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 in Agriculture Market Trends
Part 14: Vendor Landscape
Part 15: Vendor Analysis
Part 16: Appendix
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