Growth Opportunities in the Data Center Services Industry, 2024

Information Technology Growth Opportunities in the Data Center Services Industry, 2024

The AI Megatrend Drives Growth Opportunities for Data Center Services and Drives Industry Transformation


RELEASE DATE
29-Apr-2024
REGION
Global
DELIVERABLE TYPE
Market Research

RESEARCH CODE
PFIC-01-00-00-00
SKU
IT_2024_694
Yes
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Growth Opportunities in the Data Center Services Industry, 2024
Published on: 29-Apr-2024 | SKU: IT_2024_694

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Artificial intelligence (AI) adoption is increasing rapidly across industry segments and functional use cases, significantly impacting the way businesses create and deliver value. Generative AI has accelerated the awareness of the transformative impact of AI and the potential of leveraging the technology to create business value. As AI adoption continues, workloads also demand significantly unique digital infrastructure to support business outcomes.

Data center service providers have been witnessing intense competition in the global and regional colocation landscape. While the AI revolution is creating unique challenges for legacy infrastructure and data center builds, it is also opening up new revenue growth avenues and opportunities to create greater customer value and drive strategic differentiation. Colocation service providers must not only provide adequate space and power but also design facilities aligned with growth strategies and design technologies. Accelerating AI advancements will drive innovation in the data center industry, and service providers must reinvent existing facilities and planned digital infrastructure. Flexible and customized infrastructure that supports AI architectures for effective model training and inferencing will be essential in the changing technological landscape. This study discusses the global state of AI adoption and its impact on the data center colocation industry.

Author: Nishchal Khorana

Impact of the Top 3 Strategic Imperatives on the Data Center Services Industry

Disruptive Technologies

Why

  • Enterprise adoption of artificial intelligence (AI) and machine learning (ML) technologies continues to accelerate the demand for compute and storage infrastructure, thereby driving the need for colocation services.

Frost Perspective

  • AI and ML workloads will drive the need for scalable infrastructure and design that support high-density colocation capabilities. While legacy infrastructure may not be best suited for emerging requirements, AI creates new growth opportunities for colocation service providers to address enterprise needs through best-in-class AI-ready data centers.

Transformative Megatrends

Why

  • Achieving sustainability goals is a strategic priority for governments and enterprises. Given the high degree of impact data center facilities have on environmental, social, and governance (ESG) goals, enterprises are increasingly considering the sustainability focus of data center service providers as a key selection criterion.

Frost Perspective

  • Data center service providers are rapidly aligning with the transformative megatrend of sustainability and focusing on leveraging renewable energy sources. They are driving greater energy efficiency through better data center designs and investing in emerging technologies to deliver greater customer value.

Competitive Intensity

Why

  • While the data center industry’s competitive landscape has evolved significantly over the years, the competitive intensity continues to rise, with carrier-neutral service providers expanding facilities and entering new regions to monetize the opportunity.

Frost Perspective

  • Data center service providers are creating strategic differentiation by building purpose-built facilities to enable training of AI foundation models, strategically located to support lower latency for effective inference.

 

Growth Drivers

  • Colocation by public cloud service providers continues to drive hyperscale demand and will be a key growth driver during the forecast period. AI and ML adoption will accelerate the demand for colocation services.
  • AI and ML workloads demand significant compute processing for model training and storage capacity, accelerating the demand for colocation IT load capacity from enterprises across industry verticals.
  • Besides ML/LLM training, the need for real-time inferencing will drive the demand for colocation facilities at edge locations.

 

Growth Restraints

  • Limited availability of land and power can restrain building data center facilities in several strategic locations to address the high growth in demand.
  • Rapidly evolving data center technologies and the expanding landscape also demand design and operational talent/skill sets, which may be a key growth restraint in several emerging markets.
  • The increasing competition in the data center ecosystem will restrain growth in several markets and impact the pricing of colocation services.

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

Impact of the Top 3 Strategic Imperatives on the Data Center Services Industry

Enterprises Recognize the Importance of AI/ML in Achieving Business Priorities

Improving Operational Efficiency is a Key Driver for Enterprise AI Investments

Enterprise AI Deployments are Moving Beyond the Proof-of-Concept Stage

AI-driven Data Center Industry Transformation

AI-driven Data Center Industry Transformation (continued)

AI-driven Data Center Industry Transformation (continued)

Strategy & Services

Strategy & Services (continued)

Scale

Location

Design: Ultra-High-Density Colocation Capabilities

Design: Liquid Cooling Technologies

Sustainability

Sustainability (continued)

Growth Drivers

Growth Restraints

Digital Realty

Empyrion Digital

Equinix

ST Telemedia Global Datacentres

Growth Opportunity 1: Hyperscale AI-ready Data Centers

Growth Opportunity 1: Hyperscale AI-ready Data Centers (continued)

Growth Opportunity 2: Edge Data Centers to Support AI Inferencing

Growth Opportunity 2: Edge Data Centers to Support AI Inferencing (continued)

Research Objectives and Methodology

Survey Respondent Profile

Best Practices Recognition

Frost Radar

Benefits and Impacts of Growth Opportunities

Next Steps

Take the Next Step

List of Exhibits

Legal Disclaimer


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Artificial intelligence (AI) adoption is increasing rapidly across industry segments and functional use cases, significantly impacting the way businesses create and deliver value. Generative AI has accelerated the awareness of the transformative impact of AI and the potential of leveraging the technology to create business value. As AI adoption continues, workloads also demand significantly unique digital infrastructure to support business outcomes. Data center service providers have been witnessing intense competition in the global and regional colocation landscape. While the AI revolution is creating unique challenges for legacy infrastructure and data center builds, it is also opening up new revenue growth avenues and opportunities to create greater customer value and drive strategic differentiation. Colocation service providers must not only provide adequate space and power but also design facilities aligned with growth strategies and design technologies. Accelerating AI advancements will drive innovation in the data center industry, and service providers must reinvent existing facilities and planned digital infrastructure. Flexible and customized infrastructure that supports AI architectures for effective model training and inferencing will be essential in the changing technological landscape. This study discusses the global state of AI adoption and its impact on the data center colocation industry. Author: Nishchal Khorana
More Information
Deliverable Type Market Research
Industries Information Technology
No Index No
Is Prebook No
Keyword 1 Sustainability In Data Center Operations
Keyword 2 Data Center Services Industry
Keyword 3 Data Center Security
Podcast No
WIP Number PFIC-01-00-00-00