Dublin, Aug. 17, 2026 (GLOBE NEWSWIRE) -- The "Guide to New Technologies for the AI Data Center" has been added to ResearchAndMarkets.com's offering.
New 100-Page AI Data Center Technology Report Delivers Competitive Intelligence for Strategic Decision-Making
A comprehensive new report on AI data center technology provides business leaders, government professionals, academic institutions and investors with focused competitive intelligence on one of the technology industry's most rapidly evolving sectors. Spanning 100 pages, the report presents the publisher's latest analysis and perspective on the AI data center market, supporting informed product planning, marketing and strategic decision-making.
As artificial intelligence adoption accelerates, AI data centers are becoming increasingly important to enterprise technology strategies, infrastructure investment and public-sector planning. Organizations require reliable market intelligence to evaluate emerging opportunities, anticipate competitive developments and align their priorities with changes across the sector. This report addresses that demand by consolidating relevant analysis into a single resource designed for professionals monitoring AI infrastructure and data center technology.
The publication is intended to help companies strengthen product development and market positioning. Executives, product managers and marketing teams can use its competitive intelligence to inform planning, assess strategic priorities and improve their understanding of the broader AI data center landscape. By presenting the publisher's current opinions and analysis, the report offers a valuable foundation for organizations seeking to refine commercial strategies in a complex and fast-moving market.
Government professionals can also use the report to support technology planning and gain perspective on developments affecting AI infrastructure. As public agencies examine the implications of artificial intelligence, computing capacity and data center expansion, access to specialized sector analysis can contribute to more informed discussions and long-term planning.
For academic professionals, researchers and institutions, the report provides a concentrated source of industry insight that can complement ongoing work related to artificial intelligence, computing infrastructure and technology markets. Its analysis may assist readers in identifying areas of interest, evaluating industry direction and developing a broader view of the forces influencing AI data center technology.
Investment professionals can draw on the report to enhance their understanding of the AI data center sector and its competitive environment. The publication is relevant to investors, analysts and advisers evaluating technology trends, infrastructure priorities and potential market opportunities. Its focused perspective can support further research and help inform assessments of companies and strategies connected to AI data center development.
Designed as a go-to resource for stakeholders seeking the publisher's latest view of the market, the 100-page report brings together competitive intelligence for multiple professional audiences. Rather than limiting its relevance to a single discipline, it supports cross-sector decision-makers whose work involves artificial intelligence, data center infrastructure, product strategy, market development or investment analysis.
The report's publication reflects growing demand for authoritative AI data center market analysis as businesses and institutions navigate changing technology requirements. By providing actionable perspective in an accessible, consolidated format, it enables readers to approach planning and evaluation with greater context.
Professionals across business, government, academia and the investment community can use this AI data center technology report to strengthen market awareness, improve strategic planning and stay informed about an increasingly significant area of the global technology economy.
Key Topics Covered:
Chapter One: Understanding Data Centers
1.1 An Introduction to Data Centers
1.2 About the Analyst
1.3 An AI Market Overview
1.4 What is an AI Data Center?
WHAT TO DO NOW
Chapter Two: Servers and Processors
2.1 Introduction
2.2 What Is an AI Server?
2.2.1 Rethinking Servers
2.3 AI Processors
2.3.1 AI Chip Makers
WHAT TO DO NOW
Chapter Three: Networks and Interconnects In AI Data Centers
3.1 Introduction
3.2 Traffic Patterns in AI Data Centers
3.2.1 Networking in the Data Center: Resilient, Reliable and Secure
3.3 Ultra Ethernet vs. CPO: The Future of AI Data Center Interconnects
3.3.1 CPO in the AI Data Center: The Latest Announcements
3.3.2 Alternatives to CPO
3.4 Dawn of the Quantum Data Center
3.5 AI, the Internet and Other Networks
WHAT TO DO NOW
Chapter Four: Data Storage In AI Data Centers
4.1 Introduction
4.2 AI and Data Lakes
4.3 The Role of Object Storage
4.4 NVMe SSDs
4.5 Hierarchical Storage Management (HSM)
4.6 Storage for Training
WHAT TO DO NOW
Chapter Five: Power and Cooling for AI Data Centers
5.1 Future Power for the AI Data Center
5.2 The Monster is Coming and What to do About It
5.3 The Future of Cooling AI Data Centers
5.3.1 Evolution of Liquid Cooling
5.3.2 Liquid Immersion Cooling
5.3.3 Microconvective Cooling
5.3.4 Direct-to-Chip- Cooling
5.3.5 Microchannel Cooling
5.3.6 Oil Cooling
WHAT TO DO NOW
Chapter Six: Policy Considerations
6.1 United States
6.1.1 The Biden Executive Order
6.2 Trump and AI
6.3 Safety and Security in AI
6.3.1 The Threat from Emergent Intelligence
6.4 AI Regulation in Other Countries
List of Exhibits
Exhibit 1-1: AI Data Centers Built by Year: 2025 to 2034
Exhibit 1-2: Types of AI Data Centers in 2025
Exhibit 1-3: Selected Sources of AI Product/Technology Innovation
Exhibit 1-4: Worldwide AI Data Center Markets
Exhibit 1-5: Key Characteristics of AI Data Centers
Exhibit 2-1: AI Chip Types
Exhibit 2-2: AI Chip Players (Alphabetical Order)
Exhibit 3-1: Quantum Computer Companies with Data Center Machines
Exhibit 3-2: Opportunities for AI in the Internet/Web Networks
Exhibit 5-1: Power Solutions Proposed for AI Data Centers: What to Expect 2026
Companies Featured
- Amazon Web Services (AWS / Amazon Braket)
- Atom Computing
- Fujitsu
- Google Cloud
- Google Quantum AI
- Harvard University
- IBM
- IonQ
- IQM
- Microsoft
- NTT
- Pasqal
- Photonic (Canada)
- PsiQuantum
- qBraid
- Quantinuum
- Quantum Computing, Inc.
- QuEra Computing
- Rigetti Computing
- Strangeworks
- Xanadu Quantum Technologies
For more information about this report visit https://www.researchandmarkets.com/r/4wia49
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