Enterprise computing spans technology budgets, cloud workloads, workplace AI, data centers and operational risk. The figures below identify their populations, geographies and measurement periods, while distinguishing estimates, forecasts, surveys and incident datasets.
Key Enterprise Computing Statistics
These highlights cover the most broadly useful measures:
- In 2025, worldwide IT spending was forecast at $5.435555 trillion, up 7.9% from 2024.
- In 2024, worldwide IT spending was estimated at $5.039699 trillion, with 7.4% growth.
- In 2025, worldwide data-center systems spending was forecast at $474.883 billion, growing 42.4%.
- In 2025, worldwide software spending was forecast at $1.232145 trillion, growing 10.5%.
- In a 2025 worldwide survey, 84% of more than 750 cloud-involved professionals and executives identified managing cloud spend as their top cloud challenge.
- In Flexera’s 2025 worldwide survey, 72% of organizations reported using public-cloud generative-AI services extensively or sparingly.
- In the 2025 Flexera survey, 21% of cloud workloads had been repatriated to non-cloud environments.
- In 2024, 75% of global knowledge workers reported using generative AI at work.
- In 2024, only 39% of global workplace AI users reported receiving AI training from their company.
- In 2024, 80% of worldwide SMB employees reported bringing their own AI tools to work.
- In 2024, global data-center electricity consumption was about 415 TWh, roughly 1.5% of world electricity use.
- In 2024, the United States accounted for 45% of global data-center electricity consumption.
- In the IEA 2030 base case, global data-center electricity demand is projected to reach about 945 TWh, just under 3% of global electricity.
- In Uptime’s 2023 survey, 54% of respondents said their latest qualifying outage cost more than $100,000.
- In Verizon’s 2025 DBIR, ransomware was linked to 75% of system-intrusion breaches.
- In Verizon’s 2025 DBIR basic web-application attack pattern, about 88% of breaches involved stolen credentials.
Contents
- Enterprise computing spending statistics and growth
- Cloud computing adoption and cost-control data
- Workplace AI adoption and enterprise skills
- Data-center energy use and infrastructure trends
- Enterprise computing reliability, outages and cyber risk
Enterprise Computing Spending Statistics and Growth
Gartner’s worldwide market estimates show enterprise computing as part of a much larger technology economy. The 2024 figures are estimates, while the 2025 figures are forecasts rather than realized spending.
| Gartner category | 2024 estimate | 2025 forecast | 2025 growth |
|---|---|---|---|
| Total IT spending | $5.039699 trillion; 7.4% growth | $5.435555 trillion | 7.9% |
| Data-center systems | $333.372 billion; 40.3% growth | $474.883 billion | 42.4% |
| Devices | — | $759.615 billion | 5.4% |
| Software | — | $1.232145 trillion | 10.5% |
| IT services | — | $1.686321 trillion | 4.4% |
| Communications services | — | $1.282592 trillion | 2.1% |
Source: Gartner Forecasts Worldwide IT Spending to Grow 7.9% in 2025. Gartner’s data-center systems category is not all data-center construction, and its devices category includes enterprise and non-enterprise demand.
The category growth rates indicate different spending trajectories. Gartner’s software forecast is $1.232145 trillion, while IT-services spending is forecast at $1.686321 trillion; these are category totals, not measures of enterprise-only budgets.
Among 252 senior leaders at organizations with at least $500 million in enterprise-wide revenue, 62% said AI defines competition for the next 10 years in a March–May 2025 Gartner survey of North America and Western Europe. This was a non-probability executive survey, not a census of large organizations.
Cloud Computing Adoption and Cost-Control Data
Flexera’s 2025 survey describes cloud use among more than 750 cloud-involved technical professionals and executives worldwide. Its percentages are self-reported organizational measures, so they do not represent every enterprise or a common accounting measure of cloud share.
- 84% identified managing cloud spend as their top cloud challenge in 2025.
- 76% of organizations reported using data-warehouse services in 2025.
- Public-cloud generative-AI service use rose from 47% in 2024 to 72% in 2025; the comparison may reflect sample or wording changes.
- 21% of cloud workloads had been repatriated to non-cloud environments in the 2025 survey.
- Reported FinOps adoption for cloud cost optimization rose from 51% in 2024 to 59% in 2025.
Source: 84% of organizations struggle to manage cloud spend. Flexera describes workload repatriation as a minority and the provider figures below measure significant workload use, not market share or spend share.
| Cloud provider | Enterprises using it for significant workloads, 2025 |
|---|---|
| AWS | 53% |
| Azure | 29% |
| Google Cloud | 16% |
The provider results should be read as overlapping usage measures: a surveyed enterprise can use more than one provider. They therefore should not be added to create a market-share total.
Workplace AI Adoption and Enterprise Computing Skills
Microsoft and LinkedIn’s 2024 Work Trend Index measured workplace AI perceptions and use among knowledge workers and professionals. These figures describe respondents, not all workers, enterprises or completed training programs.
- 75% of global knowledge workers reported using generative AI at work in 2024, and the source said use had nearly doubled during the preceding six months.
- 45% of US executives said they were not investing in AI tools or products for employees in 2024; this is not a dollar-based investment measure.
- 39% of global workplace AI users had received AI training from their company.
- 25% of companies planned to offer generative-AI training in 2024, a plan rather than completed delivery.
- 76% of professionals globally said AI skills were needed to remain competitive in the job market; this is a perceived labor-market need, not an employer census.
Source: AI at Work Is Here. Now Comes the Hard Part.
Country results illustrate why global averages need population labels. Microsoft reported that 61% of Polish workers used generative AI daily in 2024, while 92% of Indonesian knowledge workers reported using generative AI at work; the two figures do not describe identical populations.
Microsoft and LinkedIn’s 2024 SMB reporting adds a separate small-business view:
- 61% of SMB leaders worldwide said their company lacked a vision and plan to implement AI.
- 80% of SMB employees worldwide reported bringing their own AI tools to work.
- 49% of SMB employees were reluctant to admit using AI on their most important tasks.
- More than 60% of SMB leaders said they would not hire someone without AI skills.
- 79% of SMB employees believed AI skills would provide more job opportunities.
Source: Workers worldwide are embracing AI, especially in small and medium-size businesses. SMB definitions and samples are those used by Microsoft and LinkedIn, and the figures are self-reported.
Data-Center Energy Use and Infrastructure Trends
The International Energy Agency separates observed or estimated electricity use from base-case and sensitivity forecasts. Data-center boundaries and inventories introduce uncertainty in the estimates, while projected figures are not realized consumption.
| Measure | Period and geography | Figure |
|---|---|---|
| Data-center electricity use | 2024, worldwide | About 415 TWh; roughly 1.5% of world electricity |
| Annual electricity growth | 2017–2024, worldwide | About 12% per year |
| Data-center investment | 2024, worldwide | About $500 billion; nearly doubled since 2022 |
| US share of data-center electricity | 2024, worldwide total | 45% |
| China share of data-center electricity | 2024, worldwide total | 25% |
| Europe share of data-center electricity | 2024, worldwide total | 15% |
Sources: Energy and AI: Executive summary and Energy demand from AI.
In the IEA’s 2030 base case, worldwide data-center electricity demand is projected at about 945 TWh, just under 3% of global electricity. Accelerated-server electricity use is projected to grow 30% annually from 2024 to 2030, compared with 9% annually for conventional-server electricity use.
The same base case projects the United States adding about 240 TWh of data-center electricity consumption by 2030, 130% above 2024, while China adds about 175 TWh, 170% above 2024. In the IEA’s 2035 lift-off sensitivity case, global data-center electricity demand exceeds 1,700 TWh, about 45% above the base case; this is a sensitivity case, not the central forecast.
Enterprise Computing Reliability, Outages and Cyber Risk
Reliability costs are difficult to summarize with one rate because outage reporting is incomplete and methodologies vary. Uptime’s figures concern operators’ latest qualifying outage, while Verizon’s figures apply to specific incident patterns and contributed cases.
- In Uptime’s 2023 global data-center-operator survey, 54% said their latest significant, serious or severe outage cost more than $100,000.
- 16% said that latest qualifying outage cost more than $1 million.
- Uptime estimates 10 to 20 high-profile IT outages or data-center events per year cause serious or severe global disruption, while warning that outage tracking has uncertainty.
Source: Annual outage analysis 2024. The costs are self-reported and apply to the respondents’ most recent qualifying outage, not all outages.
Verizon’s 2025 Data Breach Investigations Report defines its incident window as November 1, 2023 through October 31, 2024. Within the report’s contributed global dataset, ransomware was linked to 75% of system-intrusion breaches, and about 88% of breaches in the basic web-application attack pattern involved stolen credentials.
Source: 2025 Data Breach Investigations Report. These percentages are pattern-specific, not rates for all breaches; the report’s 2023 edition page also describes detailed analysis covering more than 16,000 global security incidents, which are not equivalent to confirmed breaches.