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Infrastructure-as-a-Service Market to Be Worth $512.4 Billion by 2031 – Exclusive Report by Meticulous Research®

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REDDING, Calif., July 3, 2024 /PRNewswire/ — According to a new market research report titled, ‘Infrastructure-as-a-Service Market by Offering (Compute, Storage, Others), Deployment (Public, Private, Hybrid), Organization Size, Application (Hosting, Others), Sector (IT & Telecommunications, BFSI, Others), and Geography – Global Forecast to 2031,’ the infrastructure-as-a-service market is projected to reach $512.4 billion by 2031, at a CAGR of 23.1% from 2024–2031.

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In cloud computing, there are three main categories of services, namely, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Infrastructure as a service (IaaS) is a form of cloud computing that provides access to cloud infrastructure resources from cloud service providers (CSPs), including servers, virtual machines, networking resources, and storage. Organizations use the IaaS to migrate IT infrastructure to the cloud. It helps to reduce the maintenance of on-premises data centers, save money on hardware costs, and gain real-time business insights. It also helps to provision new applications and adopt advanced technologies such as AI, ML, and big data.

Enterprises are adopting the IaaS model to eliminate the complexity and costs associated with building and maintaining physical infrastructure in an on-premises data center. The CSPs are responsible for managing and maintaining the infrastructure. The IaaS model is a pay-as-you-go basis that only allows for a particular resource that the consumer uses. IaaS gives flexibility to easily increase or decrease resources, allowing consumers to pay less when needed or instantly provision and scale out resources to meet new demands.

The infrastructure-as-a-service market is segmented by offering (compute, network, storage, other offerings), deployment mode (public cloud, private cloud, hybrid cloud), organization size (large enterprises, small & medium-sized enterprises), application (testing and development, hosting, storage, backup, and recovery, high performance computing, other applications), sector (IT & telecommunications, BFSI, healthcare, retail & e-commerce, government & defense, manufacturing, transportation & logistics, other sectors). The study also evaluates industry competitors and analyzes the market at the regional and country levels.

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Based on offering, the infrastructure-as-a-service market is segmented into compute, network, storage, and other offerings. In 2024, the compute segment is expected to account for the largest share of above 42% of the infrastructure-as-a-service market. The large market share of this segment is attributed to the increasing use of virtualized computing resources by SMEs due to limited IT budgets and increasing digital transformation by various sectors to transfer their workload to the cloud.

Based on deployment mode, the infrastructure-as-a-service market is segmented into public cloud, private cloud, and hybrid cloud. In 2024, the public cloud segment is expected to account for the largest share of above 50% of the infrastructure-as-a-service market. The large market share of this segment is attributed to the increasing use of the public cloud by small and medium-sized enterprises due lower cost of subscription-based or pay-per-usage pricing models in the public cloud.

Based on organization size, the infrastructure-as-a-service market is segmented into large enterprises and small & medium-sized enterprises. In 2024, the large enterprises segment is expected to account for the larger share of the infrastructure-as-a-service market. The large market share of this segment is attributed to the growing adoption of advanced technologies such as cloud computing, AI, and blockchain, and the rapid migration of IT infrastructure in the cloud.

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Based on application, the infrastructure-as-a-service market is segmented into testing and development, hosting, storage, backup and recovery, high performance computing, and other applications. In 2024, the storage, backup, and recovery segment is expected to account for the largest share of around 38% of the infrastructure-as-a-service market. The large market share of this segment is attributed to the increasing use of cloud storage applications in large enterprises due to the increasing volume of data and growing demand across SMEs to avoid the complexity of storage management, the lack of skilled professionals, and reduce cost.

Based on sector, the infrastructure-as-a-service market is segmented into IT & telecommunications, BFSI, healthcare, retail & e-commerce, government & defense, manufacturing, transportation & logistics, and other sectors. In 2024, the IT & telecommunications segment is expected to account for the largest share of around 32% of the infrastructure-as-a-service market. The large market share of this segment is attributed to the increasing adoption of advanced technologies, including cloud computing, and the increasing use of the IaaS model to reduce data centers and increase storage capacity. Telecommunications operators are migrating to cloud infrastructure to decrease operational costs and increase deployment times. For instance, Deutsche Telekom AG (Germany) is using Amazon Web Services, Inc. (U.S.) and Microsoft Corporation (U.S.) cloud infrastructure to reduce its data centers from 89 to 13 across the globe and increase computing and storage capacity by around 25%.

Based on geography, the infrastructure-as-a-service market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of around 46% of the infrastructure-as-a-service market. The market growth in North America is driven by the increasing government initiatives for the implementation of cloud computing technologies, the presence of major technology companies in the region, the high acceptance & extensive adoption of cutting-edge technologies in the region, and growing cloud adoption to manage security, infrastructure, network, business continuity, mobility, and regulatory standards within the cloud infrastructure. Companies are increasingly adopting cloud infrastructure to improve business productivity and decision-making capabilities by migrating their on-premise workload to the cloud. For instance, in April 2022, Amazon Web Services, Inc. (U.S.) extended its partnership with Boeing (U.S.), the leading manufacturer of airplanes, rotorcraft, rockets, satellites, and telecommunications equipment, to migrate Boeing’s applications from on-premises data centers to AWS cloud to strengthen their engineering and manufacturing processes.

The key players operating in the infrastructure-as-a-service market are Amazon Web Services, Inc. (U.S.), Microsoft Corporation (U.S.), Alibaba Cloud (China), Google LLC (U.S.), Huawei Technologies Co., Ltd. (China), Oracle Corporation (U.S.), IBM Corporation (U.S.), Cisco Systems, Inc. (U.S.), SAP SE (Germany), VMware, Inc. (U.S.), Rackspace Technology, Inc. (U.S.), DigitalOcean LLC (U.S.), Hewlett Packard Enterprise Company (U.S.), Tencent Cloud (China), Linode LLC (U.S.), NTT Communications Corporation (Japan), Utho (India), and Vultr (U.S.).

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Scope of the Report:

Infrastructure-as-a-Service Market Assessment—by Offering

StorageComputeNetworkOther Offerings

Infrastructure-as-a-Service Market Assessment—by Deployment Mode

Public CloudPrivate CloudHybrid Cloud

Infrastructure-as-a-Service Market Assessment—by Organization Size

Large EnterprisesSmall & Medium-sized Enterprises

Infrastructure-as-a-Service Market Assessment—by Application

Storage, Backup, and RecoveryHigh Performance ComputingHostingTesting and DevelopmentOther Applications

Infrastructure-as-a-Service Market Assessment—by Sector

IT & TelecommunicationsRetail & E-commerceBFSIManufacturingHealthcareTransportation & LogisticsGovernment & DefenseOther Sectors

 Infrastructure-as-a-Service Market Assessment—by Geography 

North AmericaU.S.CanadaAsia-PacificChinaJapanIndiaSouth KoreaRest of Asia-PacificEuropeU.K.GermanyItalySpainFranceRest of EuropeLatin AmericaMiddle East & Africa

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Related Reports:

Platform-as-a-Service Market by Type (Application PaaS, Integration PaaS, Database PaaS, Other PaaS), Deployment Mode (Private PaaS, Public PaaS, Hybrid PaaS), Organization Size (SMEs and Large Enterprises), Sector (IT & Telecom, Retail & E-commerce, Healthcare, BFSI, Manufacturing, Government & Defense, Energy & Utility) – Global Forecast to 2030

Cybersecurity-as-a-Service Market by Application (Network Security, Cloud Security, Endpoint Security, Application Security), Organization Size, Sector (BFSI, IT & Telecommunications, Retail, Healthcare), and Geography – Global Forecast to 2030

Cloud Computing Market by Service Model (Infrastructure as a Service, Platform as a Service, and Software as a Service), Deployment Mode, Organization Size, End User (BFSI, Retail, and Healthcare), and Geography – Global Forecast to 2030

Cloud Managed Services Market by Type, Deployment Mode, Organization Size, Sector (IT & Telecommunications, BFSI, Retail & Consumer Goods and Healthcare & Life Sciences)—Global Forecast to 2030

About Meticulous Research®

Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.

Contact:
Mr. Khushal Bombe
Meticulous Market Research Inc.
1267 Willis St, Ste 200 Redding,
California, 96001, U.S.
USA: +1-646-781-8004
Europe : +44-203-868-8738
APAC: +91 744-7780008
Email- sales@meticulousresearch.com
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Hong Kong banking sector posts strong 2025 results as structural shifts open next wave of growth, says KPMG

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Report identifies fixed income and currencies, gold, transition finance and family offices as the sector’s next growth frontiers — with AI governance and cyber resilience critical to long-term trust

HONG KONG, June 18, 2026 /PRNewswire/ — Hong Kong banks delivered solid headline performance in 2025, with the total assets of all licensed banks increasing by 7.1% to HK$26 trillion and operating profit before impairment charges rising by 5.5% to HK$337 billion. While lower interest rates compressed net interest margins as rate cuts took effect, the sector continued to demonstrate balance sheet resilience. Looking forward, challenges including an uncertain interest rate environment, persistent softness in commercial real estate and intense competition for deposits may weigh on profitability. Maintaining strong asset quality and prudent risk management will remain essential to preserving earnings and balance sheet resilience. The newly launched KPMG’s Hong Kong Banking Report 2026 explores the trends, opportunities and risks shaping the next phase of the sector’s development.

While maintaining resilience remains a key priority, the report suggests that the next phase of growth for Hong Kong banks will increasingly be driven by their ability to adapt to structural shifts currently underway.

The report highlights significant opportunities in Hong Kong’s fixed income and currency (FIC) markets, with the SFC-HKMA Roadmap providing a strong foundation for the next stage of market development. Hong Kong already accounts for nearly 30% of Asian international bond issuances, has topped the regional league table for nine of the past ten years, and is the world’s fourth-largest foreign exchange market by daily turnover. As Hong Kong deepens its FIC foundations, maintaining strong standards of conduct, transparency, and accountability will be essential to reinforcing the city’s position as a trusted international financial centre.

Jia Ning Song, Head of Banking and Capital Markets, Hong Kong SAR, KPMG China, says: “A fully integrated gold value chain is a natural and significant extension of Hong Kong’s fixed income and currency markets, and the opportunity for banks is substantial, spanning financing, custody, clearing and the development of new products for international and Chinese Mainland clients alike. History shows that what distinguishes a trading hub of lasting importance from one that simply attracts flows is the quality of its foundations. Trust, benchmark integrity and clear standards of accountability are what allow a market to deepen over time and withstand periods of stress. By embedding these standards now, Hong Kong can ensure this next phase of growth strengthens, rather than tests, its standing as a trusted international financial centre.”

Transition finance was identified as another major opportunity. Hong Kong is well positioned to become a leading centre for transition finance as the Chinese Mainland channels increasing capital into technology and industrial decarbonisation. Banks that can demonstrate credible methodologies, robust assessments of transition plans, and clear transition frameworks will be best placed to connect these financing needs with international capital and capture emerging growth opportunities.

Paul McSheaffrey, Senior Banking Partner, Hong Kong SAR, KPMG China, says: “The outlook for Hong Kong’s banking sector is increasingly being shaped by structural changes. As Hong Kong continues to strengthen its role as an international financial centre and a bridge between global capital and the Chinese Mainland, opportunities are emerging across capital markets, transition finance, and technology-enabled banking. At a time when traditional revenue drivers such as net interest margins remain under pressure, banks that successfully capture these opportunities while maintaining strong governance, trust, and resilience will be best positioned to drive sustainable growth.”

The report also underscores the importance of maintaining trust and resilience as the banking sector evolves. As new technologies and financing models reshape the industry, banks will need to balance innovation with strong governance and risk management.

The adoption of artificial intelligence (AI) is entering a new phase. As banks move beyond isolated AI pilots, the harder challenge is no longer the technology but the governance, model risk management and accountability needed to scale safely across the enterprise.

Angel Mok, Partner, Financial Services Technology Consulting, Hong Kong SAR, KPMG China, says: “Generating sustainable value from AI requires more than technology investment alone. Banks that combine innovation with strong governance, accountability, and workforce readiness will be best positioned to scale AI across the enterprise with regulatory credibility and confidence.”

As artificial intelligence accelerates the pace and sophistication of cyber threats, banks are under increasing pressure to strengthen their cyber resilience capabilities. While strong security controls remain essential, regulators are placing greater emphasis on intelligence-led risk management and the embedding of governance and accountability across all lines of defence. Expectations are also expanding beyond prevention, with banks increasingly required to demonstrate their ability to respond to, contain and recover from cyber incidents while maintaining critical operations.

Scan the QR code to download the report:

-Ends-

About KPMG

KPMG in China has offices located in 31 cities with over 14,000 partners and staff, in Beijing, Changchun, Changsha, Chengdu, Chongqing, Dalian, Dongguan, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Hefei, Jinan, Nanjing, Nantong, Ningbo, Qingdao, Shanghai, Shenyang, Shenzhen, Suzhou, Taiyuan, Tianjin, Wuhan, Wuxi, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR. It started operations in Hong Kong in 1945. In 1992, KPMG became the first international accounting network to be granted a joint venture licence in the Chinese Mainland. In 2012, KPMG became the first among the “Big Four” in the Chinese Mainland to convert from a joint venture to a special general partnership.

KPMG is a global organisation of independent professional services firms providing Audit, Tax and Advisory services. KPMG is the brand under which the member firms of KPMG International Limited (“KPMG International”) operate and provide professional services. “KPMG” is used to refer to individual member firms within the KPMG organisation or to one or more member firms collectively.

KPMG firms operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. Each KPMG member firm is responsible for its own obligations and liabilities.

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SOURCE KPMG

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Yotta and MarketsandMarkets Reveal India’s AI Execution Gap — and the Sovereign Infrastructure Closing It

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 “New whitepaper finds that while 87% of Indian enterprises have moved past AI pilots, infrastructure constraints — not strategy — are the primary barrier to production-scale deployment”

DELRAY BEACH, Fla., June 18, 2026 /PRNewswire/ — MarketsandMarkets™, in collaboration with Yotta, has released a new whitepaper titled “AI Adoption Landscape in Indian Enterprises: From Readiness to Realization”, delivering a data-driven assessment of where India’s enterprise AI ambitions are succeeding — and where they are stalling.

The research finds India’s AI market on a steep growth curve, projected to expand nearly 7x from USD 17.87 billion in 2026 to USD 119.44 billion by 2032. Yet despite ranking among the top globally in AI operating environment and enterprise adoption, India contributes just 2% of global large-scale AI systems — a stark indicator that readiness and execution remain disconnected.

The Infrastructure Deficit Is the Critical Variable

The whitepaper identifies compute infrastructure as the decisive gap. India currently ranks 68th globally on infrastructure — despite ranking 3rd in operating environment. Limited access to high-throughput GPU clusters, fragmented AI pipelines, and high compute costs on foreign hyperscalers are slowing model iteration, increasing compliance risk, and constraining the economics of large-scale AI deployment. Yotta’s Shakti Cloud directly addresses this gap by delivering AI-native, GPU-accelerated cloud infrastructure built entirely within India, powered by NVIDIA H100 and A100 clusters, with with next-generation GPU architectures coming soon.

The Compute Layer India’s Enterprises Have Been Missing

With 87% of organizations now in structured AI deployment, demand has shifted from experimentation to production-grade infrastructure that can perform across BFSI, healthcare, manufacturing, and the public sector. Yotta’s sovereign compute ecosystem including Shakti Cloud and Shakti Studio enables enterprises to reduce total cost of ownership, optimize GPU utilization, and accelerate deployment cycles, making large-scale AI operationally and economically viable within India’s borders.

The Sovereignty Imperative: India’s Next AI Frontier

The whitepaper makes clear that India’s next phase of AI leadership will not be won on talent or policy alone. Sovereign, scalable compute infrastructure aligned to the IndiaAI Mission is the foundational layer that will determine whether India becomes a net producer, not just a consumer, of global AI systems. Yotta is positioned as that foundational layer: combining high-performance NVIDIA-accelerated infrastructure, data sovereignty, and ecosystem partnerships to enable enterprises, startups, and public institutions to build AI that is secure, scalable, and globally competitive.

Research Methodology

This study is based on a combination of primary research (industry experts, enterprise stakeholders, and technology providers) and secondary research, including company publications, whitepapers, industry reports, and proprietary MarketsandMarkets’ analysis frameworks. The methodology incorporates:

Market sizing and forecasting across AI adoption segmentsAnalysis of enterprise AI maturity and deployment trendsEvaluation of infrastructure, compute, and ecosystem readinessCase studies and real-world implementation insights

About MarketsandMarkets™

MarketsandMarkets™ is a global market research and consulting firm specializing in high-growth niche markets. Through its Knowledge Store platform, the company provides actionable insights across 200,000+ markets, enabling organizations to identify opportunities, benchmark strategies, and drive growth in a competitive landscape.

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA: +1-888-600-6441
Email: sales@marketsandmarkets.com
Visit Our Website: https://www.marketsandmarkets.com

About Yotta

Yotta Data Services is a sovereign cloud infrastructure and platform services provider, offering cloud, AI cloud, data center hosting, connectivity, media tech and cybersecurity services; managed applications; and a wide range of managed IT services. Yotta operates its cloud regions at its hyperscale data center parks in Panvel (Navi Mumbai) and Greater Noida (Delhi NCR). Yotta’s homegrown, open-source-based, feature-rich Sovereign hyperscale cloud, Yntraa, is MeitY empanelled (VCC and GCC) and is also deployed in large government-owned CSPs on a white labelled / PPP model. In addition, Yotta has launched Shakti Cloud, a cutting-edge platform that leverages advanced AI capabilities, providing enterprises with a comprehensive suite of AI services, including AI labs, AI workspaces, Shakti Studio – AI Inference platform and access to NVIDIA’s NIM services, alongside Kubernetes clusters with GPU resources. Yotta is the only NVIDIA Cloud Partner (NCP) across the APAC region to be part of the NVIDIA Exemplar cloud initiative and is one of only seven Reference Architecture Platform NCPs across the world.

Yotta has won numerous accolades and certifications, including RBI’s cybersecurity framework and localization framework, ISO 27017 for the protection of personal information in public cloud, ISO 27701 for Privacy Information Management (PIMS), PCI-DSS, SOC2-Type 2, and SOC3. For more information, visit www.yotta.com.

Contact:

Nikhil Pradhan
npradhan@yotta.com

 

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SOURCE MarketsandMarkets

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Sumsub Becomes First Verification Platform to Enable AI Agents to Build Compliance Setup

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Teams can now upload AML policies to Claude, ChatGPT, or other AI and get a fully configured Sumsub workflow in minutes, then manage day-to-day tasks

LONDON, June 18, 2026 /PRNewswire/ — Sumsub, a global verification and fraud prevention leader, today announces the launch of its Model Context Protocol (MCP) integration and a new suite of AI agent skills. This makes it the first identity verification and compliance platform to give AI agents — including Claude, ChatGPT, and other leading models — access not just to day-to-day operations, but to the full configuration and setup layer of the platform.

With Sumsub’s agentic experience, an AI agent can take a real compliance policy document and automatically generate a fully configured Sumsub environment. That means even a complex, multi-page PDF with country-specific risk brackets, weighted scoring tables, and conditional logic gets translated into live platform settings — verification levels, risk questionnaires, and onboarding workflows — directly in the customer’s dashboard. A setup that previously could take days can now complete in minutes.

The release marks a significant shift in how compliance setups are built. Until now, configuring a verification platform required significant manual effort from solution architects or technical teams, interpreting AML policies, translating regulatory requirements into platform settings, and building out onboarding workflows by hand.

New capabilities for compliance teams

Policy-to-configuration –  teams upload their AML policy or regulatory requirements and ask an AI agent to configure their Sumsub environment from it. The agent reads the document, determines what is needed, and builds the settings live in the platform;Faster technical integration –  AI agents can handle the technical side of embedding Sumsub into a customer’s application, writing the necessary code and embedding verification as a mandatory step in an onboarding flow in real time;Manage compliance day to day – teams can use AI agents to review applicants, run analytics, generate verification links, and respond to regulatory changes.

“Setting up a compliance workflow has always required significant manual effort, and updating it when regulations change requires even more,” said Andrew Novoselsky, Chief Product Officer at Sumsub. “Our Agentic experience changes that by connecting an AI agent directly to the configuration layer of the platform — a team can take their AML policy, hand it to an AI agent, and have their full environment built automatically. That is a fundamentally different category of capability from what has been available in this space.”

How the integration works

The integration is model-agnostic, designed to work with any leading AI agent. Sumsub has published an open-source set of agent skills on GitHub, installable with a single terminal command.

The MCP integration builds on Sumsub’s broader AI strategy, which includes Summy, an AI Copilot for compliance and fraud teams inside the platform. These capabilities reflect Sumsub’s approach to building compliance infrastructure that works alongside the tools and workflows modern teams already use.

Access to the MCP integration is restricted by separate permission to allow granular control over data. Sensitive actions are performed in isolated sandbox, ensuring that configuration changes are always reviewed and approved by the human.

The integration is available now, with Sumsub becoming the first verification platform to be officially listed on the ChatGPT Apps platform. Further discussions ongoing with additional LLMs. Full documentation and agent skills are publicly available via Sumsub’s developer resources.

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About Sumsub

Sumsub is a leading full-cycle verification platform that enables fraud-free, scalable compliance. Its adaptive, no-code solution covers everything from identity and business verification to ongoing monitoring – quickly adjusting to evolving risks, regulations, and market demands.

Recognized as a Leader by Gartner, Forrester, and IDC, Sumsub combines seamless integration with advanced fraud prevention to deliver industry-leading performance. Sumsub also invests in responsible AI innovation through its AI Academic Program, forming alliances with top academia and institutions globally to enhance the world’s resilience against AI-powered fraud.

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