Delivering more actionable and strategically valuable research, The Business Research Company’s 2026 market reports feature market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights.
Generative Artificial Intelligence (AI) In Agriculture Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The data center radio-frequency identification (rfid) market has experienced substantial expansion in its market size recently. Projections show that it will grow from $2.2 billion in 2025 to $2.72 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 23.6%. The historical surge in this market can be attributed to factors such as the expansion of data center infrastructure, an increasing demand for asset management automation, the greater adoption of IoT devices, the proliferation of cloud computing facilities, and a heightened requirement for operational efficiency.
The data center radio-frequency identification (rfid) market is set for substantial growth in the upcoming years. It is forecast to grow to $6.33 billion in 2030, showing a compound annual growth rate (CAGR) of 23.5%. This expansion during the forecast period can be attributed to the proliferation of hyperscale data centers, increasing adoption of smart infrastructure technologies, the rise of edge computing facilities, a greater demand for automated monitoring tools, and the integration of AI-driven asset analytics. Major trends anticipated within the forecast period include automated asset tracking systems, real-time inventory visibility, rfid-enabled data center automation, smart rack monitoring integration, and predictive maintenance asset analytics.
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Generative Artificial Intelligence (AI) In Agriculture Market Industry Drivers: What Is Driving Revenue Growth?
Continued widespread adoption of cloud computing is projected to fuel expansion within the data center radio-frequency identification (RFID) market. This technology involves the provision of computing assets, including servers, storage, databases, networks, and software, via the internet, offering users access to flexible and economical solutions without requiring physical infrastructure onsite. Its increasing prevalence stems from its capacity to allow organizations to effortlessly adjust their IT resources to match varying demand, thereby guaranteeing peak performance and cost-effectiveness while avoiding significant initial capital expenditure on hardware. In support of cloud computing, data center radio-frequency identification facilitates the real-time monitoring and oversight of IT assets, refines resource distribution, improves security measures, and guarantees smooth functioning across extensive cloud infrastructures. For example, data from Auvik, an IT network monitoring and management firm headquartered in Canada, indicated in August 2024 that 57% of organizations expedited their cloud migration in late 2023 relative to the preceding year. Furthermore, 52% had already transitioned the majority of their IT environments to the cloud, with 63% expecting to finalize this migration within the next 18 months. Consequently, the growing utilization of cloud computing is a key factor propelling the expansion of the data center radio-frequency identification (RFID) market.
Generative Artificial Intelligence (AI) In Agriculture Market Segment Analysis: What Are The Major Market Categories?
The generative artificial intelligence (AI) in agriculture market covered in this report is segmented –
1) By Crop Type: Wheat, Rice, Corn, Vegetables, Other Crop Types
2) By Technology: Deep Learning, Computer Vision, Machine Learning, Natural Language Processing, Robotics
3) By Application: Precision Farming, Crop Management, Soil Analysis, Other Applications
4) By End User Industry: Farmer, Agriculture Technology Companies, Agriculture Consultants, Government Agencies, Research Institutions
Subsegments:
1) By Wheat: Hard Red Winter Wheat, Soft Red Winter Wheat, Hard Red Spring Wheat, Durum Wheat
2) By Rice: Basmati Rice, Jasmine Rice, Long-Grain Rice, Short-Grain Rice
3) By Corn: Sweet Corn, Field Corn, Flint Corn, Popcorn
4) By Vegetables: Leafy Greens, Root Vegetables, Cruciferous Vegetables, Solanaceous Vegetables
5) By Other Crop Types: Fruits, Pulses, Oilseeds, Fiber Crops
Generative Artificial Intelligence (AI) In Agriculture Market Innovation Trends Driving Future Development
Key players within the data center radio-frequency identification (RFID) market are concentrating on developing advanced, infrastructure-optimized solutions, such as data center passive real-time locating system (RTLS) RFID solutions, to enhance RFID coverage, boost installation adaptability, and facilitate efficient asset tracking in dense server environments. A data center passive real-time locating system (RTLS) RFID solution specifically refers to a tracking technology that utilizes passive RFID tags and fixed RFID readers to monitor the real-time location, movement, and status of assets, equipment, or IT hardware within a data center. For example, in December 2024, EPC Solutions Taiwan, a Taiwan-based Radio Frequency Identification Device (RFID) technology provider, introduced a low-cost, passive real-time locating system (RTLS) RFID solution for data centers. This solution incorporates RFID readers and antennas designed for easy installation on server racks, RFID tags for IT assets, and software with APIs for asset tracking, environmental monitoring (temperature and humidity), and digital record-keeping. It provides continuous insight into asset presence, condition, and movement, aiding data centers in improving operational efficiency, preventing theft, and automating asset management. The system is economical, can be deployed simply within hours, and supports integration with future cloud-based platforms, setting it apart from traditional data center infrastructure management systems. This launch addresses the growing industry need for better asset visibility and environmental monitoring in data centers.
Generative Artificial Intelligence (AI) In Agriculture Market Leading Companies Driving Competitive Growth
Major companies operating in the generative artificial intelligence (AI) in agriculture market are Bayer AG, Benson Hill Inc., Raven Industries Inc., AgroStar, FarmWise Labs Inc., Sentera Inc., Farmers Edge Inc., Taranis, AeroFarms LLC, Ceres Imaging Inc., CropX Inc., FarmBot, Source AG, FarmLogs, Fasal, AgriWebb Pty Ltd., Ecorobotix Ltd., IUNU Inc., Trace Genomics Inc., KisanHub, Agmatix, Agroop, Aker Technologies Inc., Bloomfield Robotics, SmartFarm, Harvest CROO LLC
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Generative Artificial Intelligence (AI) In Agriculture Market Leading Geography: Which Region Generates The Most Revenue?
North America was the largest region in the generative artificial intelligence (AI) in banking and finance market in 2025.Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in agriculture market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.