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.
Artificial Intelligence (AI) in Agriculture Market Industry Trends and Forecast to 2030
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**
- **Offering:** The AI in agriculture market is segmented based on offering into software, hardware, and services. The software segment is expected to witness significant growth as it plays a crucial role in collecting and analyzing data to provide actionable insights for farmers to enhance their decision-making process.
- **Application:** Segmented into precision farming, livestock monitoring, drone analytics, agricultural robots, and others. Precision farming is anticipated to dominate this segment due to the increasing adoption of AI technologies to optimize farming practices and maximize crop yields.
- **Technology:** The market is divided into machine learning, computer vision, predictive analytics, and others. Machine learning holds a substantial market share as it allows AI systems to learn from data and improve decision-making capabilities over time, making it a preferred technology in agriculture.
**Market Players**
- **IBM Corporation:** IBM offers AI solutions for agriculture, including precision agriculture, crop management, and supply chain optimization, leveraging its advanced AI technologies and cloud services.
- **Microsoft Corporation:** Microsoft provides AI tools and services for agriculture, focusing on improving crop yield predictions, pest detection, and resource management to support sustainable farming practices.
- **John Deere:** John Deere integrates AI into its precision agriculture solutions, such as autonomous tractors and field sensors, to enable farmers to make informed decisions and optimize field operations.
- **Deere & Company:** Deere & Company provides AI-driven solutions for automated crop monitoring, soil analysis, and equipment management, aiming to enhance productivity and reduce operational costs for farmers.
The global AI in agriculture market is poised for robust growth, driven by technological advancements, increasing demand for precision farming, and the rising adoption of AI-based solutions in agriculture practices. With the potential to revolutionize traditional farming methods, AI technologies offer farmers valuable insights to optimize crop production, manage resources efficiently, and mitigate risks. By 2030, the AI in agriculture market is expected to expand significantly, propelled by key segments such as offering, application, and technology. Major playersThe global AI in agriculture market is experiencing a rapid transformation, propelled by key factors such as technological advancement, increasing focus on precision farming, and the growing adoption of AI solutions across various agricultural practices. The segmentation of the market based on offering, application, and technology provides a comprehensive understanding of the diverse opportunities and challenges within the industry. In terms of offering, the software segment is expected to witness substantial growth due to its pivotal role in data collection, analysis, and providing actionable insights for farmers. This trend highlights the increasing importance of data-driven decision-making in agriculture and the potential for software solutions to drive efficiency and productivity in farming operations.
Within the application segment, precision farming emerges as a dominant force, driven by the need for optimized farming practices and enhanced crop yields. The integration of AI technologies in precision farming allows for real-time monitoring, data analysis, and predictive capabilities that empower farmers to make informed decisions and maximize their agricultural output. Moreover, the application of AI in areas such as livestock monitoring, drone analytics, and agricultural robots signifies the broader impact of AI across diverse agricultural activities, paving the way for more sustainable and efficient farming practices.
In terms of technology, machine learning stands out as a critical enabler of AI solutions in agriculture, offering learning capabilities that enhance decision-making processes and operational efficiencies over time. Machine learning algorithms enable AI systems to analyze vast amounts of data, identify patterns, and make predictions that can optimize agricultural processes and resource utilization. Additionally, the integration of computer vision and predictive analytics technologies further enhances the capabilities of AI systems in agriculture, offering innovative solutions for crop monitoring, pest detection, and yield optimization.
Key market players such as IBM Corporation, Microsoft Corporation, John Deere, and Deere & Company are at the forefront of driving innovation and adoption of AI technologies in agriculture. These companies offer a range of AI solutions tailored to meet the specific needs of farmers, from precision agriculture and crop management to autonomous machinery and supply chain optimization. By leveraging advanced AI technologies and cloud services, these market**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 is experiencing significant growth and transformation driven by technological advancements, increasing adoption of precision farming, and the integration of AI solutions in agricultural practices. The segmentation of the market based on offering, application, and technology provides insights into the diverse opportunities within the industry. The software segment is expected to witness substantial growth as it enables data collection, analysis, and actionable insights for farmers, highlighting the importance of data-driven decision-making in agriculture. Precision farming leads the application segment, leveraging AI technologies for real-time monitoring and data analysis to optimize farming practices and increase crop yields. Machine learning emerges as a critical
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.
Global Artificial Intelligence (AI) in Agriculture Market Industry Trends and Forecast to 2030
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
Explore Further Details about This Research Artificial Intelligence (AI) in Agriculture Market Report https://www.databridgemarketresearch.com/reports/global-ai-agriculture-market
This Artificial Intelligence (AI) in Agriculture Market Research/Analysis Report Contains Answers to the Following Questions:
Who are the Key Players of Artificial Intelligence (AI) in Agriculture Market?
- Identify the major companies and entities leading the market, their market share, financial performance, geographic presence, and their role in driving industry trends.
What are the Artificial Intelligence (AI) in Agriculture Market Trends?
- Explore current and emerging trends shaping the market, including technological advancements, consumer preferences, and regulatory impacts.
What is the Artificial Intelligence (AI) in Agriculture Market Size and Growth Rate?
- Understand the current size of the market, its historical growth, and future projections, including key factors driving or hindering growth.
What are the Opportunities and Challenges?
- Identify potential opportunities for growth, innovation, and investment, as well as the challenges and risks that may affect market dynamics.
What are the Key Artificial Intelligence (AI) in Agriculture Market Segments?
- Breakdown the market into its major segments based on product types, applications, end-users, and geographic regions to highlight areas of significant activity and potential.
What are the Competitive Strategies?
- Analyze the strategies adopted by key players, including product development, partnerships, mergers and acquisitions, and marketing tactics that drive their competitive edge.
What is the Consumer Behavior?
- Gain insights into consumer preferences, purchasing patterns, and factors influencing buying decisions within the market.
What are the Regulatory and Compliance Requirements?
- Understand the legal and regulatory landscape governing the market, including compliance requirements that companies must adhere to.
What are the Artificial Intelligence (AI) in Agriculture Market Forecasts?
- Provide future market outlook with detailed forecasts, including expected growth rates, emerging trends, and potential disruptions over the next few years.
What are the Innovation and R&D Activities?
- Highlight key innovations and research and development activities by leading companies that are shaping the future of the market.
Explore a comprehensive Table of Contents (TOC) with detailed tables, figures, and charts spanning over 350+ pages. Gain exclusive access to crucial data, information, vital statistics, trends, and a detailed competitive landscape analysis within this specialized sector.
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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