Artificial Intelligence (AI) in Agriculture Market expected to reach a value of USD 8.5 billion by 2031
Artificial Intelligence (AI) in Agriculture Market expected to reach a value of USD 8.5 billion by 2031
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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:
**Market Analysis of Global Artificial Intelligence (AI) in Agriculture Market**
The global Artificial Intelligence (AI) in Agriculture Market is expected to witness significant growth from 2021 to 2030. The integration of AI in agriculture has revolutionized the industry, offering advanced solutions for crop monitoring, soil analysis, predictive analytics, and autonomous farming equipment. The market size for AI in agriculture is projected to expand at a considerable CAGR during the forecast period. The increasing adoption of precision farming techniques, growing demand for agricultural productivity, and the need to optimize resources are driving the market growth.
**Segments**
1. **Technology**: The market can be segmented based on technology into Machine Learning, Computer Vision, Predictive Analytics, and others. Machine learning holds a significant market share as it enables AI systems to learn from data and improve decision-making processes.
2. **Application**: Segmentation by application includes Precision Farming, Livestock Monitoring, Drone Analytics, and others. Precision farming dominates the market due to its ability to enhance crop yield and reduce wastage.
3. **Offering**: The market can be segmented by offering into Hardware, Software, and AI-as-a-Service. The software segment is anticipated to grow rapidly as it provides data analytics and management solutions for farmers.
4. **Deployment**: Based on deployment, the market is categorized into Cloud-based and On-premises solutions. Cloud-based deployment is gaining traction due to its scalability and cost-effectiveness.
5. **Region**: Geographically, the market is divided into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America holds a significant share owing to the presence of key market players and the rapid adoption of advanced technologies in agriculture.
**Market Players**
- IBM Corporation
- Microsoft Corporation
- Deere & Company
- The Climate Corporation
- Ag Leader Technology
- aWhere
- GAMAYA
- PrecisionHawk
- Granular
- Prospera Technologies
The key players in the global AI in Agriculture market are focusing on strategic collaborations, partnerships, and product innovations to gain a competitive edge. The market is witnessing intense competition, leading to technological advancements and the development of AI-powered solutions tailored for the agricultural sector.
The growth of the AI in Agriculture market is driven by factors such as the increasing global population, rising food demand, shrinking arable land, and the need for sustainable farming practices. AI technologies offer farmers real-time insights, predictive analytics, and automation capabilities, resulting in improved efficiency and productivity. Moreover, government initiatives promoting digital agriculture and the adoption of AI solutions further propel market growth.
However, challenges such as high initial investment costs, lack of awareness among farmers, data privacy concerns, and the complexity of integrating AI into existing agricultural practices hinder market expansion. Overcoming these challenges requires industry stakeholders to provide training and support to farmers, ensure data security measures, and offer cost-effective solutions to enhance market penetration.
In conclusion, the global Artificial Intelligence (AI) in Agriculture market is poised for substantial growth, driven by technological advancements, increasing demand for sustainable farming practices, and the need for enhanced agricultural productivity. The market players are focusing on innovation and strategic partnerships to capitalize on emerging opportunities in the agricultural sector.
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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., copyright 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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