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Global Data Center Construction

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    Report

  • 161 Pages
  • May 2026
  • Region: Global
  • GlobalData
  • ID: 6262344
This report provides construction outlook data for 31 countries and deep dive analysis of the prospects for the global data center construction outlook in 16 major countries to 2030.

Across the 31 key data center construction markets covered in our forecast, data center construction output in real terms is estimated at $150.8B in 2025, rising to $173.8B in 2026 and $318.6B by 2030. This implies annual growth of around 15.3% in 2026 and a 2026-2030 CAGR of approximately 16.4%, making data centers one of the fastest growing construction markets globally. The scale of growth reflects the convergence of AI workloads, cloud migration, digital sovereignty, enterprise digitization and hyperscale expansion, all of which are translating into demand for larger, denser and more power-intensive facilities.

The IEA expects global data center electricity consumption to roughly double to around 945 TWh by 2030, with consumption growing by about 15% per year from 2024 to 2030, more than four times faster than electricity demand growth from other sectors. The IEA also forecasts global electricity demand to grow by 3.6% annually from 2026 to 2030, supported partly by rising consumption from data centers.

Scope

  • An overview of the outlook for the global data center construction sector to 2030.
  • Analysis of the latest data on data center construction trends in key markets.

Reasons to Buy

  • Evaluate global data center construction trends from insight on output values and forecast data to 2030. Identify the fastest-growing markets to support assessment and targeting of commercial opportunities best aligned with strategic priorities.
  • Identify the drivers in the global data center construction sector and consider growth in emerging and developed economies.

Table of Contents

1 Executive Summary
1.1 Catalyst
1.2 Related reports
1.3 Upcoming reports
2 Epidemiology
2.1 Disease background
2.2 Risk factors and comorbidities
2.3 Global and historical trends
2.4 7MM forecast methodology
2.4.1 Sources
2.4.2 Forecast assumptions and methods
2.4.3 Forecast assumptions and methods: total prevalent cases of CKD
2.4.4 Forecast assumptions and methods: total prevalent cases of CKD by stage
2.4.5 Diagnosed prevalent cases of CKD
2.4.6 Diagnosed prevalent cases of CKD by stage
2.4.7 Diagnosed prevalent cases of CKD based on dialysis dependence
2.5 Epidemiological forecast for CKD (2025-35)
2.5.1 Total prevalent cases of CKD
2.5.2 Total prevalent cases of CKD by stage
2.5.3 Diagnosed prevalent cases of CKD
2.5.4 Age-specific diagnosed prevalent cases of CKD
2.5.5 Sex-specific diagnosed prevalent cases of CKD
2.5.6 Diagnosed prevalent cases of CKD by stage
2.5.7 Diagnosed prevalent cases of CKD by dialysis dependence
2.6 Discussion
2.6.1 Epidemiological forecast insight
2.6.2 Limitations of the analysis
2.6.3 Strengths of the analysis
3 Appendix
3.1 Bibliography
3.2 About the Authors
3.2.1 Epidemiologist
3.2.2 Reviewers
3.2.3 Vice President of Disease Intelligence and Epidemiology
3.2.4 Global Head of Pharma Research, Analysis, and Competitive Intelligence
  • About the Analyst
  • Contact the Publisher
List of Tables
Table 1: Summary of updated data types
Table 2: KDIGO classification of CKD
Table 3: Risk factors and comorbidities for CKD
List of Figures
Figure 1: 7MM, total prevalent cases of CKD, both sexes, N, age =18 years, 2025 and 2035
Figure 2: 7MM, diagnosed prevalent cases of CKD, both sexes, N, =18 years, 2025 and 2035
Figure 3: 7MM, total prevalence of CKD, men and women, %, =18 years, 2015-35
Figure 4: 7MM, diagnosed prevalence of CKD, men and women, %, =18 years, 2015-35
Figure 5: 7MM, sources used to forecast the total prevalent cases of CKD
Figure 6: 7MM, sources used to forecast the total prevalent cases of CKD by stage
Figure 7: 7MM, sources used to forecast the diagnosed prevalent cases of CKD
Figure 8: 7MM, sources used to forecast the diagnosed prevalent cases of CKD by stage
Figure 9: 7MM, sources used to forecast the diagnosed prevalent cases of CKD by dialysis dependence
Figure 10: 7MM, total prevalent cases of CKD, N, both sexes, ages =18 years, 2025
Figure 11: 7MM, total prevalent cases of CKD by stage, N, both sexes, ages =18 years, 2025
Figure 12: 7MM, diagnosed prevalent cases of CKD, N, both sexes, ages =18 years, 2025
Figure 13: 7MM, diagnosed prevalent cases of CKD by age, N, both sexes, 2025
Figure 14: 7MM, diagnosed prevalent cases of CKD by sex, N, ages =18 years, 2025
Figure 15: 7MM, diagnosed prevalent cases of CKD by stage, N, ages =18 years, 2025
Figure 16: 7MM, diagnosed prevalent cases of CKD by dialysis dependence, N, both sexes, ages =18 years, 2025
Figure 17: 7MM, diagnosed prevalent cases of CKD based on dialysis-dependence subtype, N, both sexes, ages =18 years, 2025