Artificial Intelligence in Agriculture Market expected to reach a value of USD 10.49 billion by 2032
Artificial Intelligence in Agriculture Market expected to reach a value of USD 10.49 billion by 2032
Blog Article
The Artificial Intelligence in Agriculture Market sector is undergoing rapid transformation, with significant growth and innovations expected by 2032. 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.
Get a Sample PDF of Report - https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-ai-agriculture-market
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**
- Based on technology, the global artificial intelligence in agriculture market can be segmented into machine learning, computer vision, predictive analytics, and others. Machine learning technology is widely adopted in agriculture for improving crop yield predictions, disease detection, and pest control. Computer vision technology helps in monitoring plant growth, detecting weeds, and assessing crop health through image recognition. Predictive analytics is utilized for weather forecasting, soil management, and yield optimization in agriculture.
- On the basis of offering, the market can be categorized into software, hardware, and services. The software segment includes farm management software, crop management software, and livestock monitoring software that help in decision-making and resource allocation. The hardware segment comprises drones, sensors, robots, and automated machinery used for data collection and precision agriculture practices. Services include consulting, maintenance, and support services provided for the efficient functioning of AI technologies in agriculture.
- In terms of application, the artificial intelligence in agriculture market can be divided into precision farming, livestock monitoring, drone analytics, agricultural drones, and others. Precision farming applications involve the use of AI for soil scanning, variable rate technology, and crop monitoring to enhance productivity and sustainability. Livestock monitoring applications utilize AI for tracking animal health, behavior, and productivity. Drone analytics and agricultural drones are used for crop surveillance, spraying, and mapping in agriculture.
**Market Players**
- Some of the key players operating in the global artificial intelligence in agriculture market are IBM Corporation, Microsoft Corporation, Intel Corporation, Agribotix LLC, PrecisionHawk, Granular Ag, Prospera Technologies, The Climate Corporation, Trimble Inc., and Gamaya. These companies are actively involved in developing AI-based solutions for various agricultural applications such as precision farming, crop monitoring, and yield optimization. Collaborations, partnerships, and product launches are common strategies adopted by market players to expand their presence in the AI agriculture market.
- Other prominent players in the industry include Descartes Labs, Taranis, aWhere, VineViewThe global artificial intelligence in agriculture market is witnessing significant growth and innovation, driven by advancements in machine learning, computer vision, predictive analytics, and other emerging technologies. Machine learning, a key segment in this market, is revolutionizing agricultural practices by enabling accurate crop yield predictions, disease detection, and effective pest control strategies. Computer vision technology plays a crucial role in monitoring plant growth, detecting weeds, and assessing crop health through advanced image recognition algorithms. Predictive analytics is instrumental in applications such as weather forecasting, soil management, and yield optimization, thereby enhancing overall agricultural productivity and sustainability.
Moving on to the offering segment, the market is categorized into software, hardware, and services. The software segment includes a range of farm management, crop management, and livestock monitoring software solutions that empower farmers with data-driven insights for optimized decision-making and resource allocation. Hardware offerings encompass drones, sensors, robots, and automated machinery, which are instrumental in data collection and enabling precision agriculture practices. Services such as consulting, maintenance, and support play a crucial role in ensuring the efficient functioning and integration of AI technologies in agriculture, further driving market growth.
In terms of applications, artificial intelligence in agriculture finds widespread use in precision farming, livestock monitoring, drone analytics, agricultural drones, and various other areas. Precision farming applications leverage AI for soil scanning, variable rate technology, and crop monitoring, thereby enhancing productivity, sustainability, and resource utilization in agriculture. Livestock monitoring applications utilize AI for tracking animal health, behavior, and productivity, contributing to improved livestock management practices. Drone analytics and agricultural drones play a pivotal role in crop surveillance, spraying, and mapping activities, offering enhanced efficiency and precision in agricultural operations.
The competitive landscape of the global artificial intelligence in agriculture market is characterized by the presence of key players such as IBM Corporation, Microsoft Corporation, Intel Corporation, Agribotix LLC, PrecisionHawk, Granular Ag, Prospera Technologies, The Climate Corporation, Trimble Inc., and Gamaya. These market players are actively engagedThe global artificial intelligence in agriculture market is experiencing significant growth momentum, primarily fueled by technological advancements and innovative solutions offered by key market players. Machine learning technology stands out as a vital segment driving transformation in agricultural practices, enabling precise crop yield predictions, disease detection, and pest control strategies. Adoption of computer vision technology plays a crucial role in monitoring plant growth, weed detection, and crop health assessment, enhancing overall agricultural efficiency. Predictive analytics applications in weather forecasting, soil management, and yield optimization further contribute to improving productivity and sustainability in the agriculture sector.
The market offering segment showcases a diverse range of software, hardware, and services tailored to meet the specific needs of the agriculture industry. Software solutions such as farm management software, crop management software, and livestock monitoring software empower farmers with data-driven insights for informed decision-making and resource allocation. Hardware offerings including drones, sensors, robots, and automated machinery play a pivotal role in data collection and precision agriculture practices, driving operational efficiency and productivity. The services segment, comprising consulting, maintenance, and support services, ensures seamless integration and optimal performance of AI technologies in agriculture, fostering market growth and innovation.
Artificial intelligence in agriculture finds versatile applications across precision farming, livestock monitoring, drone analytics, agricultural drones, and various other sectors, contributing to enhanced agricultural practices and resource utilization. Precision farming applications leverage AI for soil scanning, variable rate technology, and crop monitoring, promoting sustainable agricultural practices and increased productivity. Livestock monitoring applications utilize AI for tracking animal health, behavior,
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 (2024-2032) of the following regions are covered in Chapters
The countries covered in the Artificial Intelligence in Agriculture Market report are U.S., copyright, 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 2032
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
Browse More Reports:
Tire Material Market - Industry Trends and Forecast
Biological Safety Cabinet Market – Industry Trends and Forecast
Butadiene Market – Industry Trends and Forecast
Flow Chemistry Market – Industry Trends and Forecast
Nano Sensors Market – Industry Trends and Forecast
5G Chipset Market - Industry Trends and Forecast
Eastern Europe Core Materials Market - Industry Trends and Forecast
Biodegradable Paper and Plastic Packaging Market – Industry Trends and Forecast
Chloromethanes Market - Industry Trends and Forecast
Choline Chloride Market - Industry Trends and Forecast
Flexible Electronics Market – Industry Trends and Forecast
Data Resiliency Market – Industry Trends and Forecast
Middle East and Africa Alcoholic Beverages Market – Industry Trends and Forecast
Diamond Coatings Market – Industry Trends and Forecast
Asia-Pacific Alcoholic Beverages Market – Industry Trends and Forecast
Data Bridge Market Research:
Today's trends are a great way to predict future events!
Data Bridge Market Research is a market research and consulting company that stands out for its innovative and distinctive approach, as well as its unmatched resilience and integrated methods. We are dedicated to identifying the best market opportunities, and providing insightful information that will help your business thrive in the marketplace. Data Bridge offers tailored solutions to complex business challenges. This facilitates a smooth decision-making process. Data Bridge was founded in Pune in 2015. It is the product of deep wisdom and experience.
Contact Us:
Data Bridge Market Research
US: +1 614 591 3140
UK: +44 845 154 9652
APAC: +653 1251 978
Email:- [email protected]
Report this page