Cloud Computing Market to Reach USD 2,281.1 Billion by 2030, Growth Accelerates as AI Drives Cloud Adoption | Report by MarketsandMarkets Trademark

Cloud Computing Market by Service Model (IaaS (Compute, Storage, Networking), PaaS (Application Development & Integration, Database & Data, Analytics & Reporting), SaaS (CRM, SCM, Collaboration & Productivity)), Impact of AI - Global Forecast to 2030.
DELRAY BEACH, Fla. - August 21, 2026 - According to MarketsandMarkets Trademark , the Cloud Computing market [https://www.marketsandmarkets.com/Market-Reports/cloud-computing-market-234.html?utm_source=abnewswire.com&utm_medium=referral&utm_campaign=cloud-computing-market] size was valued at USD 1125.9 billion in 2024 and is projected to grow from USD 1,294.9 billion in 2025 to USD 2,281.1 billion by 2030, exhibiting a CAGR of 12.0% during the forecast period. Data processing, storage, and access have all been completely transformed by cloud computing. It enables companies to expand their operations without having to make significant upfront expenses. Cloud systems provide the speed and flexibility that businesses want in light of their increasing reliance on digital tools and remote labor. In contemporary cloud plans, security, automation, and AI integration are also becoming more crucial.

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The compute subsegment will register the largest market share during the forecast period

Infrastructure as a Service (IaaS) compute is undergoing rapid advancements driven by the surge in artificial intelligence and high-performance workloads. Cloud providers such as AWS, Google Cloud, and Microsoft Azure are integrating cutting-edge technologies such as AI-optimized processors (e.g., AWS Trainium, Google TPU v5p) and high-speed networking to support increasingly complex applications. These innovations enable organizations to handle massive datasets, accelerate model training, and deploy real-time services with greater efficiency. A notable example is Google Cloud's partnership with CoreWeave to supply high-performance GPU computing infrastructure for OpenAI, helping support the scaling needs of models like ChatGPT. This shift highlights the growing importance of specialized compute in IaaS to power next-generation digital services.

The supply chain management subsegment is poised for the highest growth rate during the forecast period

Supply chain management in Software as a Service (SaaS) now incorporates cutting-edge technologies such as AI-powered demand forecasting, IoT-enabled tracking, and blockchain-backed transparency within cloud platforms. AI models detect demand fluctuations and optimize inventory, while IoT sensors provide real-time visibility into shipments, preventing spoilage and delays. Blockchain ensures tamper-proof logging and smart contracts for smoother supplier interactions. For example, Trimble's Supplier Xchange platform connects over 10,000 digital partners and handles 130,000 monthly quote requests totaling USD 18 billion, automating pricing-to-order workflows. By combining these emerging technologies, SaaS SCM solutions help businesses reduce errors, enhance collaboration, and boost responsiveness to market changes, driving inventory accuracy, cost reductions, and operational agility across complex supply chains.

The US will account for the largest market during the forecast period

The US accounts for the largest market in cloud computing, driven by its advanced digital infrastructure, early technology adoption, and strong presence of leading cloud service providers such as AWS, Microsoft Azure, and Google Cloud. US enterprises across sectors, ranging from finance and healthcare to retail and manufacturing, are heavily investing in cloud solutions to enhance agility, reduce operational costs, and accelerate innovation. The widespread use of AI, data analytics, and hybrid cloud models further amplifies demand. Additionally, supportive regulatory frameworks and high cloud readiness position the US as the dominant force in the global cloud computing landscape.

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Unique Features in the Cloud Computing Market

Cloud platforms are increasingly optimized for AI/ML workloads, offering scalable computing, storage, and networking resources for generative AI and advanced analytics.

Organizations are adopting hybrid and multi-cloud strategies to improve flexibility, avoid vendor dependency, and optimize workloads across different environments.

Growing data residency, privacy, and regulatory requirements are driving demand for sovereign cloud environments that provide greater control over data and infrastructure.

Containers, Kubernetes, serverless computing, and microservices are enabling organizations to develop, deploy, and scale applications more efficiently.

Cloud providers are increasingly developing verticalized solutions tailored to sectors such as BFSI, healthcare, manufacturing, retail, and government.

Major Highlights of the Cloud Computing Market

Growing AI, generative AI, and data-intensive workloads are increasing demand for scalable cloud compute, storage, and networking infrastructure.

The compute segment of IaaS is expected to hold the largest market share, supported by increasing AI and high-performance computing requirements.

Enterprises are increasingly combining public, private, and multiple cloud environments to improve flexibility, scalability, workload management, and resilience.

Data localization, regulatory compliance, and sovereignty requirements are encouraging organizations and governments to adopt region-specific cloud infrastructure.

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Top Companies in the Cloud Computing Market

Some of the major players in the cloud computing market include Google (US), Salesforce (US), Microsoft (US), AWS (US), Oracle (US) and Atlantic.Net (US). These companies use cloud computing to move fast, innovate, and stay connected with customers worldwide. It helps them harness AI, manage massive data, and create smarter, more seamless experiences, such as recommending shows, processing payments, or running voice assistants. The cloud gives them the flexibility and power to keep evolving and delivering at scale.

GOOGLE

Google Cloud is Google's powerful cloud platform that helps businesses transform the way they work. Known for its deep expertise in data analytics, AI, and open-source technologies, Google Cloud offers smart, scalable solutions that support innovation across industries. Whether it's helping retailers personalize customer experiences or enabling healthcare providers to improve patient care with data insights, Google Cloud is focused on solving real-world problems. It runs on the same trusted infrastructure that powers Google Search and YouTube, giving users unmatched speed, security, and reliability. Google Cloud also stands out for its commitment to sustainability, aiming to operate entirely on carbon-free energy by 2030.

AWS

AWS is the world's most comprehensive cloud platform, used by millions, from fast-growing startups to government agencies. It offers over 200 services, including computing, storage, AI, and machine learning, helping organizations innovate quickly and stay agile. AWS powers global giants such as Netflix and Airbnb, allowing them to scale effortlessly, manage data securely, and deliver amazing digital experiences. With a massive global infrastructure, AWS ensures high availability and performance wherever businesses operate. Its pay-as-you-go model and wide service range make it a go-to choice for developers, enterprises, and public sector organizations. AWS continues to lead by listening to customers and constantly improving its offerings.

Oracle

Oracle's agentic AI efforts are anchored in its OCI AI agents offering, enabling autonomous decision-making across Oracle Cloud infrastructure and fusion applications. The company's core strength lies in embedding intelligent agents directly within ERP, HCM, and SCM systems, thus enabling task automation, self-service analytics, and predictive workflows. Oracle's strategy focuses on integrating agentic orchestration at the data layer by using its proprietary LLMs, integrating with MySQL HeatWave, and employing retrieval augmented generation from structured enterprise databases. Oracle's AI agents support dynamic task decomposition and can perform planning and tool execution across finance, HR, and operations workflows.

Microsoft

Microsoft, a U.S. tech powerhouse, is at the forefront of the agentic AI market with its Copilot Studio, Azure AI Foundry, Microsoft 365 Copilot, Security Copilot, and GitHub Copilot platforms enabling organizations to build, orchestrate, and deploy autonomous AI agents across business, security, and development workflows. These agents can proactively address tasks like sales lead qualification, employee onboarding, cybersecurity triage, and code refactoring all using no-code/low-code interfaces, robust governance frameworks (through Azure AI Foundry, Entra Agent ID, and Purview), and multi-agent orchestration with support for standards like A2A and Model Context Protocol. Its strategy also includes consumer-facing AI agents in Windows 11 and industry-specific solutions (e.g., healthcare, finance, supply chain), emphasizing proactive assistance embedded within UI and workflows, positioning Microsoft as a leader in transitioning from chat-based AI to an ecosystem of autonomous software agents.

SALESFORCE

Salesforce, Inc., founded in March 1999 by Marc Benioff and headquartered in San Francisco, is the world's leading cloud-based customer relationship management (CRM) platform. Through a subscription-based model, Salesforce offers a unified suite-Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, and Data/Analytics (including Tableau CRM and Einstein AI)-to help businesses manage sales pipelines, customer service, marketing campaigns, e-commerce, and analytics, all powered by AI.

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