Strategic Intelligence: Data Centers
Description
Strategic Intelligence: Data Centers
Summary
The scale of investment in data center infrastructure is unprecedented. Microsoft, Alphabet, Amazon, and Meta reported combined capital expenditure (capex) of $245 billion in 2024, and their spending could exceed $360 billion in 2025, primarily driven by AI-related investments. They are competing to build large data centers and fill them with specialized chips to stay ahead in the race for AI dominance.
Key Highlights
Summary
The scale of investment in data center infrastructure is unprecedented. Microsoft, Alphabet, Amazon, and Meta reported combined capital expenditure (capex) of $245 billion in 2024, and their spending could exceed $360 billion in 2025, primarily driven by AI-related investments. They are competing to build large data centers and fill them with specialized chips to stay ahead in the race for AI dominance.
Key Highlights
- Most AI training takes place in large-scale data centers. AI models require high-performance computing (HPC) infrastructure, specialized chips, large memory, and advanced cooling systems, making modern data centers essential to power AI development. As a result, data center expansion is accelerating. This expansion includes more facilities, wider geographic distribution, and substantial capacity increases to support AI workloads, which is reflected in their physical size and technology density.
- Data centers are significant drivers of electricity demand. According to the International Energy Agency (IEA), data centers' electricity consumption will more than double to approximately 945 terawatt-hours (TWh) by 2030, up from 415TWh in 2024. Cooling and air conditioning systems consume a lot of energy, and water use is another significant environmental issue associated with data centers.
- Tech giants and data center operators are increasingly shifting to low-carbon energy solutions to meet growing power demands within their data centers. Companies that develop and deploy innovative cooling technologies, particularly liquid cooling, will likely see increased demand.
- This report provides an overview of the data centers theme.
- It includes a comprehensive industry analysis, including forecasts for data center and hosting revenues to 2029.
- The detailed value chain comprises four layers: data center energy sources, data center infrastructure, connectivity, and data center services.
- Data centers have become essential for modern life and are increasingly recognized as a critical utility. Data centers provide stability and computing power, allowing businesses to run important applications, store valuable data, and deliver online services.
- Major technology and business shifts are shaping the data center industry. These include the rise in demand for digital and online services, greater automation across industries, and businesses' increased use of integrated networks of systems and platforms. The COVID-19 pandemic sped up the shift to remote working, further increasing the demand for computing power. More recently, demand for artificial intelligence (AI) surged after the launch of ChatGPT by OpenAI at the end of 2022. AI created new demands on data center infrastructure, as AI workloads require significant computing power.
- This report is the perfect introduction to the data center theme, including an overview of the issues driving the rapid increase in data center expansion and analysis of the leading tech vendors.
Table of Contents
67 Pages
- Executive Summary
- Players
- The Evolving Data Center Landscape
- Data centers are a critical utility
- Balancing data center supply and demand is a growing challenge
- As demand for data center capacity surges, supply may struggle to keep up
- Edge data centers are on the rise and may reduce the need for additional capacity
- Data centers are a key area of focus for digital sovereignty efforts
- The impact of US tariffs on data centers
- AI is driving demand for data center capacity
- Big Tech is fueling demand for AI-enabled data centers
- AI chips are the core computing power inside AI-enabled data centers
- The amount of energy required to power data centers is surging
- Data centers are shifting to low-carbon energy
- Cooling systems are major consumers of energy
- AI training and inference optimization techniques reduce data center power use
- Industry Analysis
- Market size and growth forecasts
- Timeline
- Value Chain
- Data center energy sources
- Fossil fuels
- Renewable energy
- Nuclear energy
- Onsite energy systems
- Data center infrastructure
- Servers
- Storage
- Networking equipment
- Data center infrastructure management software
- Edge data center infrastructure
- Cooling systems
- Data center services
- On-premise data centers
- Hyperscale data centers
- Data center service providers
- Infrastructure as a service cloud providers
- Telecom services
- Companies
- Sector Scorecards
- IT infrastructure sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Semiconductors sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Glossary
- Further Reading
- GlobalData reports
- Our Thematic Research Methodology
- About GlobalData
- Contact Us
- List of Tables
- Table 1: Companies
- Table 2: Glossary
- Table 3: GlobalData reports
- List of Figures
- Figure 1: Who are the leading players in the data center theme, and where do they sit in the value chain?
- Figure 2: The total number of data center construction projects is expected to peak in 2026
- Figure 3: The IEA expects the global installed capacity of data centers to more than double from 2024 to 2030
- Figure 4: The global edge data center market will be worth $19.3 billion by 2029
- Figure 5: In edge computing, computations can be run and tasks performed closer to the users
- Figure 6: Most of the data centers are concentrated in a few regions, creating disparities in digital sovereignty
- Figure 7: Examples of data sovereignty laws in select countries
- Figure 8: The total global AI market will be worth $641.8 billion by 2029
- Figure 9: The capex of Big Tech will exceed $360 billion in 2025
- Figure 10: The IEA estimates that global data center electricity consumption will reach 945TWh by 2030
- Figure 11: By 2029, global enterprise data center and hosting revenues will reach $188.2 billion
- Figure 12: North America is the largest regional market by revenue share
- Figure 13: The data centers story
- Figure 14: The data center value chain
- Figure 15: The data center value chain – data center energy sources - Fossil fuels
- Figure 16: The data center value chain – data center energy sources - Renewable energy
- Figure 17: The data center value chain – data center energy sources - Nuclear energy
- Figure 18: The data center value chain – data center energy sources - Onsite energy systems
- Figure 19: The data center value chain – data center infrastructure - Servers
- Figure 20: The data center value chain – data center infrastructure - Storage
- Figure 21: The data center value chain – data center infrastructure - Networking equipment
- Figure 22: The data center value chain – data center infrastructure
- Figure 23: The data center value chain –data center infrastructure - Edge data center infrastructure
- Figure 24: The data center value chain – data center infrastructure - Cooling systems
- Figure 25: The data center value chain – data center services - Hyperscale data centers
- Figure 26: The data center value chain – data center services - Data center service providers
- Figure 27: The data center value chain – data center services - Infrastructure as a service cloud providers
- Figure 28: The data center value chain – data center services - Telecom services
- Figure 29: Who does what in the IT infrastructure space?
- Figure 30: Thematic screen - IT infrastructure sector scorecard
- Figure 31: Valuation screen - IT infrastructure sector scorecard
- Figure 32: Risk screen - IT infrastructure sector scorecard
- Figure 33: Who does what in the semiconductors space?
- Figure 34: Thematic screen - Semiconductors sector scorecard
- Figure 35: Valuation screen - Semiconductors sector scorecard
- Figure 36: Risk screen - Semiconductors sector scorecard
- Figure 37: Our five-step approach for generating a sector scorecard
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