100+ Cloud Computing Statistics: Market Size, Adoption & Trends in 2026 

Cloud computing has moved from an emerging technology to a foundational part of enterprise IT, with cloud adoption, infrastructure spending, and AI workloads continuing to reshape technology strategies. In 2025, 52.7% of EU enterprises used paid cloud services, up from 45.3% in 2023, while Gartner forecasts $17.5 billion in public-cloud spending in India alone in 2026, reflecting growing demand for AI-ready infrastructure and application modernization. 

Top Cloud Computing Statistics: Editor’s Picks

• Global public-cloud spending is forecast to reach $723.4 billion in 2026.
• Global AI spending is forecast to reach $2.59 trillion in 2026.
• 82% of organizations running containers use Kubernetes in production.
• 58% of organizations use GenAI through public-cloud services.
• 51% of enterprise data is stored in the public cloud.
• AWS holds 37.7% of the global IaaS market.
• Global data creation is projected to exceed 394 zettabytes by 2028.
• Data-center electricity consumption is projected to reach 945 TWh by 2030.
• 19.2% of Canadian businesses used AI in 2026, up from 6.1% in 2024.
• Australian public-cloud spending is forecast to reach A$33.6 billion in 2026.

Cloud adoption, however, tells only part of the story. How enterprises use cloud, where workloads are moving, how much organizations are spending, and how AI is reshaping infrastructure demand reveal a much broader picture. 

The statistics below examine the cloud market through adoption, usage, migration, spending, provider share, AI, security, architecture, and other trends shaping enterprise cloud strategies.

Cloud Computing Market Size and Growth Statistics

Cloud computing is no longer growing simply because more enterprises are moving workloads away from on-premises infrastructure. AI workloads, expanding infrastructure demand, and continued enterprise consumption are changing the scale of the market itself. The latest numbers show a cloud industry growing at a pace few enterprise technology categories can match.

• Worldwide public-cloud end-user spending is forecast to grow 21.3% in 2026, reaching approximately $850 billion. (Gartner)
• Worldwide public-cloud spending is projected to reach approximately $1.48 trillion by 2029.  (Gartner)
• Global spending on cloud infrastructure services reached $419 billion in 2025, up 30% year over year, according to Synergy Research Group.

• Cloud infrastructure services generated $119.1 billion in revenue during Q4 2025 alone, making it the largest quarterly market recorded by Synergy Research Group.
• The cloud infrastructure market grew 35% year over year in Q1 2026, reaching $129 billion in quarterly enterprise spending. (Synergy Research Group)
• The Q1 2026 cloud infrastructure market was running at an annual revenue rate above $500 billion, based on Synergy Research Group’s quarterly figures. (Synergy Research Group)
• Generative AI was identified as the primary driver of the acceleration in cloud infrastructure growth during Q4 2025, with IaaS and PaaS accounting for 34% of quarterly growth. (Synergy Research Group)
• The three largest cloud providers accounted for 63% of enterprise cloud infrastructure spending in Q3 2025, up from 62% a year earlier. (Synergy Research Group)

The growth story is becoming more nuanced. Cloud demand is expanding, but AI is changing where infrastructure investment goes and how quickly capacity needs to scale. For enterprise technology leaders, market growth therefore needs to be read alongside adoption, workload patterns, provider concentration, migration, and cloud economics.

Cloud Adoption Statistics

Cloud adoption has become widespread across enterprise technology environments, but adoption rates alone do not tell the full story. The more useful question is how deeply organizations are moving workloads, applications, and data into cloud environments, and how that adoption is evolving across different types of enterprises.

• 88% of organizations reported using a multicloud strategy, according to Flexera’s 2026 State of the Cloud research, demonstrating how broadly cloud has become embedded across enterprise technology environments.
• 73% of organizations reported using a hybrid-cloud strategy, showing that most enterprises continue to combine public-cloud services with private infrastructure or other environments. (Flexera)
• 60% of organizations reported running more than half of their workloads in the cloud, according to research cited by CloudZero, indicating that cloud adoption is moving beyond isolated applications toward a larger share of enterprise workloads. (Frontinet 2026 Cloud Security Report)
• 76% of large enterprises spend more than $5 million per month on public cloud, compared with 69% of SMBs spending less than $50,000 per month, illustrating the significant difference in cloud adoption and consumption at enterprise scale. (Flexera)

• 52.7% of EU enterprises used paid cloud services in 2025, up 7.4 percentage points from 2023. This provides a useful benchmark for enterprise cloud adoption in a mature digital market. (Eurostat)
• 85% of large EU enterprises used paid cloud services in 2025, compared with 52% of SMEs, showing how organization size continues to influence the depth of cloud adoption. (Eurostat)
• 48% of organizations planned to migrate at least half of their applications to the cloud, while 20% planned to migrate all applications, according to O’Reilly’s enterprise cloud research.  
• 47% of organizations reported pursuing a cloud-first strategy, while 30% described themselves as already cloud-native in O’Reilly’s research.  

Cloud Usage Statistics

Cloud usage now spans far more than storage and productivity software. Enterprises are running databases, data warehouses, containers, AI services, security platforms, and business applications in cloud environments, while the mix of workloads varies according to organizational scale and technology maturity. 

• 71% of organizations use cloud-based data warehouse services, making data warehousing the most widely used public-cloud service in Flexera’s 2026 State of the Cloud research.
• 64% of organizations use relational Database-as-a-Service (DBaaS), placing managed database infrastructure among the most established cloud workloads.  
• 58% of organizations use generative AI through public-cloud services, up from 50% the previous year, making GenAI the third most widely used public-cloud service.  
• 56% of organizations use containers as a public-cloud service, putting containerized application infrastructure among the leading cloud services in current use.  
• 31% of organizations are experimenting with generative AI through public-cloud services, making GenAI the leading cloud service in the experimentation category. (Flexera)
• 29% are experimenting with machine learning through public-cloud services, placing ML immediately behind GenAI among cloud services being evaluated.
• 18% of organizations identify disaster recovery as a planned public-cloud service, making DRaaS the leading service in Flexera’s planned-adoption category. (Flexera)
• 85.2% of EU enterprises using paid cloud services used cloud-based email in 2025, making email the most widely reported cloud workload in Eurostat’s enterprise data. (Eurostat)
• 71.7% used cloud-based office software, showing the continued scale of cloud-delivered productivity applications.  (Eurostat)
• 71.5% used cloud-based file storage, demonstrating how deeply cloud storage has become embedded in enterprise collaboration and information management.
• 65.5% used cloud services for security software, indicating that security itself is increasingly delivered through cloud platforms.
• 58.2% used cloud services for finance or accounting software, extending cloud adoption into core business operations.
• 45.5% used cloud services to host databases, reinforcing the growing role of cloud infrastructure in enterprise data management. 
• 30.1% used cloud services for ERP, showing that cloud adoption increasingly reaches business-critical enterprise systems.  
• 28.2% used cloud platforms for running applications, highlighting cloud’s role as an application execution environment rather than simply a destination for SaaS. 
• 27.9% used cloud services for CRM, bringing customer-facing systems into the enterprise cloud workload mix.  (Eurostat)
• 26.1% used cloud platforms for application development, testing, or deployment, showing how cloud infrastructure is becoming part of the software delivery lifecycle.  (Eurostat)
• 63% of SMB cloud workloads were hosted in public cloud, according to Flexera’s 2026 research, up from 55% the previous year. (Flexera)
• 76% of large enterprises spend more than $5 million per month on public cloud, illustrating how dramatically cloud consumption scales with organizational size. (Flexera)

The Takeaway

The workload mix gives technology leaders a useful way to assess cloud maturity. Productivity and storage services have broad adoption, while databases, ERP, application runtime, and development platforms represent deeper changes in enterprise architecture.

The distinction matters when planning cloud engineering work. Migrating an email system, moving a database, modernizing an application, and creating a cloud-native development platform involve very different architecture, security, integration, and operational requirements.

Cloud Provider Market Share Statistics

The cloud infrastructure market remains concentrated among a small group of hyperscalers, but the competitive picture is shifting as Microsoft and Google grow faster than AWS and specialized providers gain ground in AI infrastructure. Market share therefore tells only part of the story; growth rates, provider concentration, and the emergence of specialized cloud platforms are becoming equally important indicators.

• AWS held 28% of the global cloud infrastructure services market in Q1 2026, retaining the largest share among the major providers.
• Microsoft Azure held 21% of the global market in Q1 2026, putting it seven percentage points behind AWS.
• Google Cloud held 14% of the global cloud infrastructure market in Q1 2026, continuing to expand its position behind AWS and Azure.
• AWS, Microsoft, and Google collectively accounted for 63% of enterprise cloud infrastructure spending in Q1 2026, reinforcing the concentration of the market around the three hyperscalers.
• The three hyperscalers increased their combined share from 62% to 63% over the previous four quarters, showing that market concentration has continued to rise even as the overall market expands rapidly. 

• Amazon’s share fell from 31% in Q3 2024 to 29% in Q3 2025, while Microsoft and Google gained share during the same period.
• Microsoft’s cloud infrastructure share reached 20% in Q3 2025, up from 19% a year earlier, according to Synergy Research Group.
• Google Cloud’s share reached 13% in Q3 2025, compared with 12% a year earlier, as its cloud business continued to grow faster than AWS.
• The global cloud infrastructure market reached $129 billion in Q1 2026, up by more than $35 billion from the same quarter a year earlier.
• Cloud infrastructure spending grew 35% year over year in Q1 2026, marking the highest growth rate since Q4 2021.
• The global cloud infrastructure market was already running at an annual revenue rate above $500 billion in Q1 2026, based on Synergy Research Group’s quarterly data.
• AWS, Microsoft, and Google held a combined 68% share of enterprise cloud infrastructure spending in Q4 2025, according to Synergy’s Q4 market data.
• Q4 2025 cloud infrastructure revenue reached $119 billion, a $29 billion increase from Q4 2024.
• Oracle and specialized “neocloud” providers are gaining share, with CoreWeave identified by Synergy as the largest neocloud provider and other rapidly growing players including Crusoe, Nebius, and Lambda.
• AI is contributing to the changing competitive dynamics, with specialized providers such as CoreWeave benefiting from demand for accelerated computing infrastructure alongside the hyperscalers. 

Sources:

• Synergy Research Group — Q1 2026 
• Synergy Research Group — Q3 2025 
• Synergy Research Group — Q4 2025 

Public, Private, Hybrid, and Multicloud Statistics

• 73% of organizations operate hybrid-cloud environments, according to Flexera’s 2026 State of the Cloud Report, up 3 percentage points from the previous year.
• Multicloud adoption reached 88%, making the use of multiple cloud providers one of the most common characteristics of enterprise cloud environments.
• Only 14% of organizations operate exclusively across multiple public clouds without a private-cloud component, indicating that many organizations described as “multicloud” are actually operating broader hybrid estates. 

• 33% of organizations use multiple public clouds together with multiple private clouds, representing one of the more complex hybrid configurations tracked in Flexera’s research.
• 69% of organizations with up to 5,000 employees use hybrid cloud, compared with 78% of organizations with more than 5,000 employees, showing that hybrid architectures become more prevalent as enterprise scale increases.
• 68% of organizations spending up to $500,000 per month on cloud use hybrid cloud, compared with 79% among organizations spending more than $500,000 per month.
• SMB public-cloud workload adoption increased from 55% to 63% year over year, indicating that smaller organizations are also moving a greater share of their workloads into public-cloud environments.
• 76% of large enterprises spend more than $5 million per month on public cloud, while large organizations are also more likely to operate hybrid environments.
• Hybrid-cloud adoption increased by three percentage points year over year, while multicloud adoption increased by two percentage points, according to Flexera’s latest survey.
• Mergers and acquisitions, application silos, and inherited infrastructure are among the factors contributing to multicloud complexity, according to Flexera’s analysis of current enterprise environments.
• Organizations with higher cloud spending are more likely to operate hybrid estates, reinforcing the relationship between cloud scale and the need for workload-placement flexibility. 

(Source: Flexera 2026 State of the Cloud Report)

Cloud Migration and Modernization Statistics

Cloud migration has shifted from a straightforward infrastructure move to a broader modernization exercise. Enterprises are now weighing application dependencies, technical feasibility, workload economics, data placement, modernization requirements, and long-term operating models before deciding what should move, what should be rearchitected, and what should remain where it is.

• 49% of organizations rank migrating more workloads to the cloud among their top cloud initiatives, making migration the second-highest priority after cloud-cost optimization in Flexera’s 2026 State of the Cloud research.
• 54% of enterprise workloads currently run in public cloud, up from 52% in the previous year, according to Flexera’s 2026 research.
• 63% of SMB workloads run in public cloud, up from 55% a year earlier, showing that cloud migration is accelerating beyond large enterprises.
• 51% of enterprise data is currently in public cloud, while 61% of SMB data is in public cloud, according to Flexera.
• Understanding application dependencies is the leading challenge in migrating workloads to public cloud, followed by assessing technical feasibility, according to Flexera’s 2026 survey of 753 cloud decision-makers.
• 43% of organizations identify assessing on-premises versus cloud costs as a migration challenge, while 40% cite selecting the best cloud instance.
• 39% of organizations identify optimizing costs after migration as a migration challenge, down from third place previously, suggesting that organizations are increasingly addressing cloud economics earlier in the migration process.
• Organizations are increasingly moving sensitive data to cloud and SaaS environments, with Flexera reporting a steady rise in sensitive-data migration over the past four years.
• Cloud-based workload repatriation increased by 2 percentage points year over year, according to Flexera’s 2026 research, indicating that some organizations are repositioning workloads after initial migration.
• Cloud-based data repatriation also increased by 2 percentage points year over year, reinforcing the shift toward workload and data placement based on economics and technical requirements rather than a blanket cloud-first approach.
• 76% of large enterprises spend more than $5 million per month on public cloud, illustrating the financial scale at which migration and modernization decisions increasingly operate.
• 27% of organizations expect their public-cloud spending to increase, according to Flexera’s 2026 research, providing another indication that migration and cloud expansion remain active investment priorities.
• 17% of organizations exceeded their public-cloud budgets during the previous year, highlighting the importance of incorporating cost modelling into migration planning rather than optimizing only after workloads have moved.
• End-user public-cloud spending in India is forecast to rise 28.1%, from $13.7 billion in 2025 to $17.5 billion in 2026, with Gartner citing application modernization and demand for AI-ready infrastructure among the factors driving growth.
• 45.3% of enterprises surveyed by IDC expected to increase spending on migrating applications from on-premises environments to cloud IaaS or SaaS in 2026, placing application migration among the technology investments expected to receive increased funding.
• Enterprises are also allocating increased spending toward rearchitecting legacy cloud applications, according to IDC’s 2025 Future Enterprise Resiliency & Spending survey, showing that modernization continues after workloads have already entered cloud environments.
• Cloud migration increasingly involves sovereign-cloud and private-infrastructure decisions, with IDC’s survey tracking planned spending on both migration to in-country sovereign cloud infrastructure and migration from public cloud to private on-premises infrastructure. 

Cloud Spending, Cost Optimization, and FinOps Statistics

Cloud spending is becoming a larger and more strategic technology investment as enterprises expand public-cloud workloads, adopt AI, and modernize applications and data platforms. At the same time, organizations are building stronger mechanisms to control waste, measure cloud value, and extend financial accountability beyond public-cloud infrastructure.

Cloud spending and optimization

• 85% of organizations identify managing cloud spend as a top cloud challenge.
• 68% rank optimizing existing cloud use among their top cloud initiatives.
• 29% of IaaS and PaaS cloud spending is estimated to be wasted, marking the first increase in Flexera’s estimated cloud waste in five years.
• 76% of large enterprises spend more than $5 million per month on public cloud.
• 81% of organizations use cost efficiency as a cloud success metric, making it the most widely used measure of cloud performance.
• 74% use workloads migrated as a cloud success metric, while 73% measure delivery speed.
• 69% measure customer adoption when evaluating cloud success.
• 64% measure value delivered to business units, up 12 percentage points year over year.
• 49% use unit economics to measure cloud costs, up from 40% previously.

Source: Flexera 2026 State of the Cloud Report

FinOps is expanding beyond public-cloud costs

• 63% of organizations have established FinOps teams, reflecting the growing adoption of dedicated cloud financial-management capabilities.
• 78% of FinOps practices report into the CTO or CIO organization, up 18 percentage points from 2023.
• Only 8% report into the CFO organization.
• 98% of FinOps practitioners manage AI spend, compared with 31% two years earlier.
• 90% manage SaaS spend, up from 65% the previous year.
• 64% manage software licensing, up 15 percentage points.
• 57% manage private-cloud costs, up from 39%.
• 48% manage data-center costs, up from 36%.
• 28% are beginning to include labor costs within FinOps practices.
• FinOps practitioners represented more than $83 billion in annual cloud spend in the 2026 State of FinOps survey.
• 34% of respondents were from North America, providing substantial representation from the region in the global FinOps research.

Source: FinOps Foundation — State of FinOps 2026

AI, Machine Learning, and AI-Native Cloud Computing Statistics 

Artificial intelligence is changing the role of cloud computing from a general-purpose infrastructure layer into the foundation for increasingly intelligent applications, data platforms, and automated workflows. The shift is visible across the full AI lifecycle: organizations are adopting AI and machine learning, moving GenAI workloads into production, investing in AI infrastructure, and beginning to redesign operating models around AI.

• 88% of organizations reported using AI in at least one business function in 2025, according to McKinsey’s Global Survey on AI. Despite the high adoption rate, most organizations remain in the experimentation or piloting stage rather than having scaled AI across the enterprise. (McKinsey)
• 62% of organizations said they were at least experimenting with AI agents in 2025, showing how quickly AI is moving from generating information to performing tasks and orchestrating workflows.  
• Nearly two-thirds of organizations had not yet begun scaling AI across the enterprise, despite widespread AI adoption, highlighting the gap between access to AI and enterprise-level deployment. 
• Only around 1% of organizations considered themselves fully mature in AI, according to McKinsey’s 2025 research, underscoring how far most enterprises remain from operating AI as a deeply embedded enterprise capability. (McKinsey)
• 64% of organizations said AI was enabling innovation, although only 39% reported an enterprise-level EBIT impact, illustrating the gap between AI activity and measurable financial outcomes. (McKinsey)
• 80% of organizations identified efficiency as an objective of their AI initiatives, while higher-performing organizations were more likely to combine efficiency with growth and innovation objectives. (McKinsey)
• 58% of organizations use generative AI through public-cloud services, up from 50% the previous year, according to Flexera’s 2026 State of the Cloud research. (Flexera)
• 45% of organizations use GenAI extensively, up from 36% the previous year, while 81% report using it either extensively or sparingly. 
• 31% of organizations are experimenting with GenAI through public-cloud services, making it the leading public-cloud service in the experimentation category.
• 29% of organizations are experimenting with machine learning through public-cloud services, placing ML among the leading emerging cloud workloads. (Flexera)
• 90% of technology professionals surveyed by Google’s 2025 DORA research reported using AI at work, while more than 80% believed AI had increased their productivity. (Google Cloud)
• 90% of organizations in the DORA research had adopted at least one internal platform, highlighting the importance of platform engineering as organizations attempt to operationalize AI-assisted software development. (Google Cloud)
• 30% of technology professionals reported little or no trust in AI-generated code, demonstrating that widespread AI-assisted development does not eliminate the need for engineering controls, testing, security, and human review. (Google Cloud)
• One in four companies surveyed by IBM already uses an AI-first approach, while organizations using an AI-first approach attributed 52% of their revenue growth and 54% of their operating-margin improvement to AI initiatives over the previous 12 months. (IBM)
• 64% of AI budgets were being directed toward core business functions, according to IBM’s 2025 research, indicating that AI investment is moving beyond isolated experimentation toward operational use cases.  
• 61% of surveyed CEOs said their organizations were already adopting AI agents and preparing to implement them at scale, according to IBM’s 2025 CEO study.  
• 68% of CEOs identified integrated enterprise-wide data architecture as critical for cross-functional collaboration, while 72% viewed proprietary enterprise data as important for unlocking GenAI value. (IBM)
• 34% of organizations reported using AI to deeply transform their business, according to Deloitte’s 2026 State of AI in the Enterprise research. (Deloitte)
• 30% of organizations reported redesigning key processes around AI, while 37% said they were using AI mainly at a surface level with little or no change to underlying business processes. 
• 85% of companies expect to customize AI agents for their specific business needs, according to Deloitte’s 2026 research, highlighting the movement toward AI systems designed around enterprise workflows rather than generic tools.  
• Nearly three-quarters of companies plan to deploy agentic AI within two years, while only 21% of those organizations report having a mature model for agent governance.  
• 58% of organizations already use physical AI, according to Deloitte’s 2026 research, extending AI adoption beyond software into physical and industrial environments.  
• 83% of organizations consider sovereign AI important to their strategic planning, highlighting the growing connection between AI infrastructure, data sovereignty, national policy, and cloud architecture. (Deloitte)
• 19.2% of Canadian businesses reported using AI to produce goods or deliver services in 2026, up from 6.1% in 2024, according to Statistics Canada. (Statistics Canada)
• AI adoption among Canadian businesses more than tripled between 2024 and 2026, rising from 6.1% to 19.2%.  
• 42.3% of Canadian businesses in information and cultural industries used AI in 2026, followed by 40.4% in finance and insurance and 32.4% in professional, scientific and technical services. (Statistics Canada)
• Global AI infrastructure spending reached $318 billion in 2025, more than double the $153 billion recorded in 2024, according to IDC. (IDC)
• AI infrastructure spending is forecast to reach $487 billion in 2026, representing approximately 53% growth from 2025. 
• AI infrastructure spending is projected to exceed $1 trillion by 2029, with IDC forecasting approximately 31% CAGR between 2025 and 2029. (IDC)
• Worldwide AI spending is forecast to reach $2.59 trillion in 2026, representing 47% year-over-year growth. (Gartner)
• AI-optimized infrastructure is expected to account for more than 45% of worldwide AI spending in 2026, according to Gartner’s forecast. (Gartner)

Cloud Data and Storage Statistics

Cloud computing is increasingly becoming a data infrastructure story. Enterprises are moving databases, data warehouses, application data, analytics workloads, and AI pipelines into cloud environments, while the volume of data being created continues to expand. As data volumes grow, cloud decisions increasingly involve storage, databases, architecture, performance, governance, and data location.

Data volumes are driving cloud infrastructure demand

• Global data creation, capture, copying, and consumption reached an estimated 149 zettabytes in 2024.
• Global data creation is projected to exceed 394 zettabytes by 2028.

Source: ITU — State of Broadband 2025

Cloud databases are becoming a major market

• The global cloud database market was valued at $24.17 billion in 2025.
• The market is projected to reach $28.78 billion in 2026.
• Cloud database revenue is forecast to reach $120.22 billion by 2034, representing a 19.6% CAGR from 2026 to 2034.
• North America accounted for 45.09% of the global cloud database market in 2025.

Source: Fortune Business Insights — Cloud Database Market

Data warehouses and managed databases lead cloud usage

• 71% of organizations use cloud-based data warehouse services.
• 64% use relational Database-as-a-Service (DBaaS).
• 51% of enterprise data is stored in public cloud, compared with 61% among SMBs.
• 40% of organizations identify data quality as a top challenge when scaling AI workloads in the cloud.

Source: Flexera 2026 State of the Cloud Report

Cloud Security and Compliance Statistics

As cloud environments become more distributed and AI workloads expand, security risks are increasingly concentrated around identity, APIs, data access, AI systems, and fragmented security operations. Recent research also shows a growing governance gap as organizations deploy AI faster than security controls and policies mature.

Cloud threats increasingly target identity and data

• 83% of cloud-related incidents involved compromised identities as the initial access vector in Mandiant engagements during H2 2025.
• 73% of cloud-related incidents involved data theft, making data access and exfiltration a dominant attacker objective.
• 41% of organizations experienced a surge in API attacks.
• 53% identified lenient IAM practices as a top cloud-security challenge and leading data-exfiltration vector.
• 30% of cloud-security teams take more than a day to resolve an incident.
• 89% believe cloud and application security should be fully integrated with the SOC.
• 97% prioritize consolidating their cloud-security footprint.

Source: Google Cloud — Cloud Threat Horizons Report H1 2026
Source: Palo Alto Networks — State of Cloud Security Report 2025

AI is creating a new cloud security exposure

• 99% of organizations encountered an attack on an AI system during the previous year.
• More than 20% of organizations reported a breach targeting AI models or applications.
• 27% of AI-related breaches involved compromised APIs, applications, or plug-ins, while another 27% involved cloud misconfigurations affecting AI workloads.
• One in four malicious breaches were AI-enabled in 2026, representing a 56% increase from the previous year.
• AI-enabled malicious breaches cost an average of $6 million, compared with a global average breach cost of $4.99 million.
• Organizations using AI and automation extensively in security operations reduced breach costs by almost $2 million on average.

Source: IBM — Cost of a Data Breach Report 2026
Source: Palo Alto Networks — State of Cloud Security Report 2025 

AI governance and data protection still lag adoption

• Only 37% of breached organizations encrypt sensitive data both at rest and in transit.
• 34% have visibility into their cryptographic assets.
• 97% of organizations reporting an AI-related security incident lacked proper AI access controls.
• 63% of organizations lacked AI governance policies to manage AI or prevent shadow AI.
• Extensive use of AI and automation in security operations was associated with $1.9 million in average breach-cost savings in IBM’s 2025 research.
• The global average cost of a data breach was $4.44 million in 2025, down 9% from the previous year.

Source: IBM — Cost of a Data Breach Report 2025

Cloud Infrastructure and Emerging Technology Statistics

Cloud infrastructure is moving from traditional virtualized workloads toward cloud-native applications, Kubernetes, platform engineering, and AI infrastructure. The latest CNCF research shows how widely cloud-native practices have spread while also revealing a gap between having the infrastructure to run AI and operating AI workloads at production scale.

Cloud-native infrastructure has become mainstream

• 98% of organizations have adopted cloud-native techniques.
• 59% report that much or nearly all of their development and deployment is cloud native.
• 82% of container users run Kubernetes in production, up from 66% in 2023.
• 47% of organizations cite cultural change within development teams as a leading cloud-native challenge.
• 36% cite lack of training as a challenge, while another 36% cite security and 34% cite complexity.

Source: CNCF Annual Cloud Native Survey 2025

Kubernetes is becoming AI infrastructure

• 66% of organizations hosting generative AI models use Kubernetes for some or all inference workloads.
• 44% of organizations do not yet run AI/ML workloads on Kubernetes.
• Only 7% deploy AI/ML models daily, while 47% deploy them occasionally.

Source: CNCF Annual Cloud Native Survey 2025

That combination is particularly useful for the article because it shows the difference between infrastructure adoption and AI operational maturity without us having to make the interpretation ourselves.

The cloud-native developer ecosystem continues to expand

• 19.9 million developers worldwide were part of the cloud-native developer community in Q1 2026, up from 15.6 million in Q3 2025.
• 52% of backend developers were classified as cloud native in Q1 2026, up from 49% in Q1 2025.
• 77% of backend developers use at least one cloud-native technology.
• 58% of backend and DevOps professionals lead cloud-native adoption.
• 32% of developers use hybrid cloud, while 26% use multicloud.

Source: CNCF and SlashData — State of Cloud Native Development

Serverless continues to grow as a cloud-native model

• The global serverless computing market was valued at $2.57 billion in 2025.
• The market is forecast to reach $2.97 billion in 2026 and $9.41 billion by 2034, representing a 15.52% CAGR from 2026 to 2034.

Source: Fortune Business Insights — Serverless Computing Market

IaaS, PaaS, and SaaS Statistics

Cloud service models continue to evolve at different speeds as enterprises balance infrastructure control, application platforms, managed software, and AI requirements. Current spending forecasts show IaaS and PaaS gaining momentum as enterprises invest in AI-ready infrastructure and application platforms, while SaaS remains the largest spending category in several markets.

India is accelerating investment in IaaS and PaaS

• India’s public-cloud spending is forecast to reach $17.5 billion in 2026, up 28.1% from $13.7 billion in 2025.
• IaaS spending is forecast to grow 40% to $6.26 billion in 2026, making it India’s fastest-growing major cloud service segment.
• PaaS spending is forecast to grow 25.4% to $6.41 billion, making PaaS the largest public-cloud spending category in India.
• SaaS spending is forecast to reach $4.64 billion in 2026, growing 18.9% from $3.90 billion in 2025.
• IaaS is projected to grow from $4.47 billion in 2025 to $6.26 billion in 2026, driven by demand for AI-ready infrastructure, GPUs, high-performance computing, networking, and scalable storage.
• PaaS is projected to rise from $5.11 billion to $6.41 billion, as enterprises invest in platforms for data integration, application development, and AI-enabled workloads.

Source: Gartner’s India public-cloud forecast

Global IaaS remains concentrated

• The global IaaS market reached $171.8 billion in 2024, growing 22.5% year over year.
• AWS held 37.7% of the global IaaS market in 2024, followed by Microsoft at 23.9% and Google at 9.0%.
• The five largest IaaS providers accounted for 82.1% of the global market in 2024.

Source: Gartner — Worldwide IaaS Market, 2024

SaaS remains a major cloud market

• The global SaaS market was valued at $464.7 billion in 2025 and is projected to reach $530.0 billion in 2026.
• North America accounted for 44.1% of the global SaaS market in 2025, making it the largest regional market.
• Large enterprises accounted for 57.9% of the SaaS market in 2025.
• CRM represented 22.0% of the SaaS market in 2025, making it the largest application segment.
• Private-cloud deployments accounted for 44.6% of SaaS revenue in 2025.

Source: Grand View Research — SaaS Market

Australia shows a similar shift toward infrastructure and platforms

• Australian public-cloud spending is forecast to reach A$33.6 billion in 2026, with SaaS accounting for A$16.4 billion, PaaS for A$10.0 billion, and IaaS for A$7.1 billion.
• IaaS is forecast to grow 24.1% in Australia in 2026, ahead of PaaS at 20.9% and SaaS at 13.8%.
• SaaS remains Australia’s largest public-cloud spending category in 2026, despite its slower growth rate.

Source: Gartner — Australian Public Cloud Forecast 2026

Sovereign Cloud and Regional Cloud Computing Statistics

Sovereignty is becoming a larger consideration in cloud strategy as governments and enterprises weigh data location, regulatory control, domestic infrastructure, geopolitical exposure, and access to critical compute. The trend is particularly relevant in Canada, where government policy increasingly connects cloud adoption with data residency and domestic AI infrastructure.

Sovereign cloud investment is accelerating

• Global sovereign-cloud IaaS spending is forecast to reach $80 billion in 2026, up 35.6% from 2025.
• North American sovereign-cloud IaaS spending is forecast to reach $16.4 billion in 2026, up from $12.7 billion in 2025.
• European sovereign-cloud IaaS spending is forecast to reach $12.6 billion in 2026, up from $6.9 billion in 2025.
• Europe is projected to surpass North America in sovereign-cloud IaaS spending in 2027.
• Gartner estimates that 20% of current workloads could shift from global to local cloud providers as organizations pursue “geopatriation.”

Source: Gartner — Sovereign Cloud IaaS Forecast

Canada is building domestic AI compute capacity

• Canada’s Sovereign AI Compute Strategy represents a $2 billion federal investment in domestic AI compute capacity.
• Up to $700 million is allocated to the AI Compute Challenge to support projects that build Canadian AI data centers.
• Up to $705 million is allocated to a Canadian-owned sovereign supercomputing system through the Sovereign Compute Infrastructure Program.
• Up to $300 million is allocated to the AI Compute Access Fund to help Canadian innovators access AI compute capacity.
• The Canadian government committed up to $240 million to Cohere to expand domestic AI compute capacity through a new Canadian AI data-center project.

Source: Government of Canada — Canadian Sovereign AI Compute Strategy

Canadian cloud policy puts data location into the architecture decision

• Canada’s federal cloud-first strategy prioritizes public cloud, followed by hybrid cloud, private cloud, and non-cloud deployment models.
• Government-held Protected B, Protected C, and Classified information must reside within Canada’s geographic boundaries, subject to the applicable government requirements.
• Public cloud is the primary delivery model for government systems and data classified at Protected B or below, when it meets business, privacy, security, and policy requirements.
• Canada’s government analysis notes that AWS, Microsoft Azure, and Google Cloud dominate the Canadian cloud market, creating considerations around operational and technological sovereignty.

Source: Government of Canada — Data Sovereignty and Public Cloud

AI infrastructure is becoming increasingly regional

• The United States accounted for 77% of global AI infrastructure spending in Q4 2025, compared with 9.4% for China.
• AI infrastructure spending in Western Europe grew 42% year over year in Q4 2025.
• Spending in Asia/Pacific excluding Japan grew 47% year over year.
• Middle East and Africa AI infrastructure spending increased 535% year over year to $1.8 billion.
• Global AI infrastructure spending reached $89.9 billion in Q4 2025, up 62% year over year.

Source: IDC — AI Infrastructure Spending Q4 2025

Sovereign AI is becoming an enterprise planning issue

• 83% of organizations say sovereign AI is important to their strategic planning, according to Deloitte’s 2026 State of AI in the Enterprise research.

Source: Deloitte — State of AI in the Enterprise 2026

Cloud Data Center and Infrastructure Statistics

Cloud computing ultimately depends on physical infrastructure: data centers, servers, networking, cooling, and power. As cloud adoption and AI workloads expand, electricity demand, capacity constraints, geographic concentration, and the efficiency of data-center infrastructure are becoming increasingly important to cloud strategy.

Data centers are becoming a larger electricity consumer

• Data centers consumed around 415 TWh of electricity globally in 2024, equivalent to about 1.5% of global electricity consumption.
• Global data-center electricity consumption is projected to reach around 945 TWh by 2030, more than doubling from 2024.
• Data-center electricity demand grew 17% in 2025, compared with about 3% growth in total global electricity demand.
• AI-focused data-center electricity consumption grew 50% in 2025, significantly faster than overall data-center demand.
• Electricity consumption from AI-focused data centers is projected to triple by 2030.
• Accelerated servers are projected to consume electricity at around 30% annual growth through 2030, with AI as the primary driver.
• Accelerated servers are expected to account for almost half of the net increase in data-center electricity consumption through 2030.

Source: IEA — Energy and AI / IEA — Key Questions on Energy and AI

The United States remains the largest data-center electricity market

• The United States accounted for 45% of global data-center electricity consumption in 2024, followed by China at 25% and Europe at 15%.
• The United States is expected to account for nearly half of global data-center electricity-demand growth through 2030.
• U.S. data-center electricity consumption is projected to increase by around 240 TWh through 2030, about 130% above 2024 levels.
• China’s data-center electricity consumption is projected to increase by around 175 TWh, about 170% above its 2024 level.
• European data-center electricity consumption is projected to increase by more than 45 TWh, about 70% above 2024 levels.
• Southeast Asia’s data-center electricity demand is expected to more than double by 2030, partly driven by data-center hubs in Singapore and southern Malaysia.
• The United States had the world’s highest data-center electricity consumption per capita in 2024, at around 540 kWh per person.
• U.S. data-center electricity consumption per capita could exceed 1,200 kWh by 2030.

Source: IEA — Energy Demand from Data Centres

AI infrastructure is driving capital investment and power demand

• Five major technology companies spent more than $400 billion on capital expenditure in 2025, with the IEA expecting spending to rise another 75% in 2026.
• Data-center electricity demand is projected to roughly double from 485 TWh in 2025 to about 950 TWh in 2030 in the IEA’s updated outlook.
• AI-focused data-center electricity consumption is projected to triple between 2025 and 2030.
• Data centers accounted for around half of the increase in U.S. electricity demand in 2025.

Source: IEA — Key Questions on Energy and AI

Renewables will supply much of the additional power

• Renewables are projected to provide around half of the additional electricity needed to meet data-center demand through 2035.
• More than 450 TWh of additional renewable generation is expected to serve data-center demand through 2035.
• Natural gas is projected to provide around 175 TWh of additional generation through 2035.
• Nuclear power is projected to contribute roughly 175 TWh of additional generation through 2035.
• The IEA’s base case projects global data-center electricity consumption at around 1,200 TWh by 2035.

Source: IEA — Energy and AI

Cloud Computing Statistics by Industry

Cloud adoption varies by industry because workloads, regulatory requirements, customer expectations, and operating models differ. Financial services, manufacturing, construction, professional services, and other sectors may use the same cloud platforms while making very different decisions around resilience, compliance, application development, data, and AI.

Financial services are increasing cloud investment

• 87% of financial-services firms increased cloud spending over the previous two years, according to LSEG’s 2025 Global Cloud Survey of 453 financial-services executives.
• 82% operate with either a hybrid-cloud or multicloud strategy, reflecting the sector’s emphasis on resilience, flexibility, and risk diversification.
• 91% are advancing AI through cloud technologies, connecting cloud adoption directly with AI initiatives across financial services.
• 84% have adjusted their cloud strategies in response to regulations such as DORA and GDPR, demonstrating how regulatory requirements are influencing cloud architecture.
• 92% consider operational resilience a critical or very important factor when selecting a cloud provider.
• 54% report having migrated workloads and already seeing value, particularly across risk management, customer engagement, and enterprise data access.

Source: LSEG — Global Cloud Survey: Financial Services Firms Embrace Cloud to Drive Competitiveness

Cloud usage differs significantly across industries

Ireland’s 2025 enterprise data provides a useful sector-level comparison:

• 69.5% of construction enterprises used cloud computing for email, compared with 68.1% of manufacturing enterprises and 62.8% of selected services enterprises.
• 62.7% of construction enterprises used cloud computing for office software, compared with 61.3% of manufacturing enterprises and 56.9% of selected services enterprises.
• 21.7% of selected services enterprises used cloud-based CRM, compared with 16.8% of manufacturing enterprises and 6.1% of construction enterprises.
• 15.0% of selected services enterprises used cloud platforms for application development, testing, or deployment, compared with 13.1% of manufacturing enterprises and 7.7% of construction enterprises.
• 16.6% of Irish enterprises used cloud computing for hosting and managing ERP software in 2025, while 13.9% used cloud platforms for application development, testing, or deployment.

Source: Central Statistics Office Ireland — Information Society Statistics: Enterprises 2025

Canadian businesses continue to expand cloud adoption

• 48.5% of Canadian businesses used cloud computing in 2023, up from 45.3% in 2021 and 38.9% in 2019.
• 25.7% of Canadian businesses used internet-connected smart devices or IoT in 2023, providing another indication of the expanding technology infrastructure surrounding cloud environments.
• 6.8% used AI-related software or hardware in 2023, up from 3.7% in 2021 and 2.3% in 2019.

Source: Statistics Canada Survey of Digital Technology

What’s Next?

Cloud computing will continue to shape how enterprises modernize applications, scale infrastructure, manage data, and operationalize AI. The statistics in this report point to a clear direction: cloud strategy is becoming increasingly connected to business growth, engineering efficiency, security, resilience, and AI readiness.

At TechBlocks, we help enterprises turn that direction into an actionable cloud strategy. From cloud engineering and application migration to modernization, DevOps, data platforms, AI/ML, and cloud-native development, our teams help organizations build and evolve cloud environments around their business priorities.