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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.
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California, 96001, U.S.
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Times of India Launches Inaugural ‘TOI AI Quotient Awards’ to Celebrate Pioneers in AI Innovation

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In collaboration with Knowledge Partner Adrosonic, the premier nomination-led platform will honor excellence, scalability, and measurable impact across India’s AI ecosystem.

NEW DELHI, June 18, 2026 /PRNewswire/ — The Times of India has announced the launch of the inaugural edition of the TOI AI Quotient Awards—India’s most credible, nomination-led recognition platform celebrating excellence in artificial intelligence adoption, innovation, and impact.

Organized in collaboration with Adrosonic as the official Knowledge Partner, the awards will bring together pioneering enterprises, technology leaders, startups, innovators, and institutions that are harnessing the power of AI to drive business transformation, optimize decision-making, and enhance customer experiences.

As AI becomes a core driver of competitiveness and productivity, this initiative marks the beginning of a prestigious annual celebration. The awards aim to spotlight those leveraging AI to solve complex challenges, unlock new opportunities, and deliver meaningful, scalable outcomes across sectors.

Leadership Insights

“The conversation around AI has rapidly moved from experimentation to execution. For modern brands, a high AI Quotient is now a boardroom priority. The TOI AI Quotient Awards will serve as India’s most credible validation platform, spotlighting the enterprises that are successfully navigating this transition to drive real business outcomes and stronger governance. We look forward to uncovering the incredible stories of human-machine collaboration that are redefining the future of Indian industry.”
— Prasad Sanyal, Group Business Head – TOI, IndiaTimes, WhatsHot

“AI will not replace human intelligence, it will amplify it. The organisations that succeed with AI will be those that combine technology with human judgement, domain expertise and a clear focus on business outcomes. The true measure of AI success is not how much AI is deployed, but how effectively it improves decision making and delivers measurable value. Achieving this requires clear objectives, strong governance and responsible guardrails. The TOI AI Quotient Awards celebrate organisations turning AI potential into meaningful business impact.”
— Mayank, Founder & CEO, Adrosonic

Award Tracks & Categories

The initiative features 25+ awards distributed across 4 distinct tracks: Industry, Functional AI, Maturity-based, and Special Jury Awards. Key categories include:

Sector Excellence: BFSI, Retail & Commerce, Healthcare & Wellness, Travel & Hospitality, Media & Content.Functional & Strategic AI: Customer Experience, HR & Talent, Risk & Compliance.Enterprise & Impact: Social Impact, Women in AI, Legacy to AI Transformation, and Native Enterprise.

To ensure absolute credibility, the evaluation matrix leverages Adrosonic’s deep technical consulting frameworks for an objective initial screening. Following a preliminary audit by the expert TOI Editorial Board, the final winners will be selected by an esteemed, independent jury comprising leading AI experts, technology pioneers, industry veterans, and business visionaries.

Why Nominate Your Organization?

The TOI AI Quotient Awards offer more than just recognition—they provide a premier platform for national visibility and industry-wide alignment:

National Recognition: Showcase your AI-led innovations and business impact before a distinguished audience of industry leaders and decision-makers.Credible Validation: Gain elite positioning backed by TOI’s powerful media reach and Adrosonic’s technical validation frameworks.Industry Benchmarking: Measure your achievements against the rapidly evolving AI ecosystem to strengthen your market leadership.

How to Participate

Is your organization setting new benchmarks in AI adoption and implementation? Do you know an enterprise driving measurable transformation through artificial intelligence?

Nominate your organization or a deserving industry leader today to secure your place among India’s most forward-thinking, AI-driven enterprises.

Learn more and submit your nomination here: toievents.indiatimes.com/ai-quotient-awards

 

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Saturn Cloud and Spectro Cloud Partner to Bring Production-Ready AI to Palette-Managed Kubernetes

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Organizations running Spectro Cloud Palette can now deploy Saturn Cloud’s managed AI platform directly onto their existing Kubernetes infrastructure, from data center to edge, including FIPS 140-3 validated environments.

NEW YORK, June 18, 2026 /PRNewswire/ — Saturn Cloud, the AI token factory platform for GPU clouds, AI Factory operators, and enterprises, today announced an integration with Spectro Cloud, the Kubernetes management platform trusted by enterprises and government agencies worldwide. The integration allows organizations already running Spectro Cloud Palette to add Saturn Cloud as a managed AI layer on their existing clusters, giving engineers self-service access to Jupyter, VS Code, RStudio, SSH, distributed training, and model deployments without requiring changes to the underlying infrastructure.

This integration meets platform teams where they already are: on managed Kubernetes. Palette handles cluster lifecycle management, GPU operator deployment, compliance profiles, and infrastructure governance. Saturn Cloud delivers the AI experience on top. The result is a complete AI platform that inherits the operational model and governance controls established by the platform team.

A Managed AI Layer on Palette-Managed Clusters

Platform engineering teams at large enterprises, government agencies, and regulated industries have already invested in Kubernetes and standardized on Spectro Cloud Palette to manage clusters across data centers, cloud environments, and edge locations. What they lack is a way to deliver AI capabilities to their engineering teams without spinning up a parallel stack or compromising the controls they have spent years building.

Saturn Cloud fits into the Palette-managed environment as a workload layer. Engineers get distributed multi-GPU training with automatic retry and logging, one-click model deployments with autoscaling, experiment tracking across training runs, and pre-configured development environments, all deployed through the same Palette cluster profiles and governance policies that manage the rest of the organization’s infrastructure. Palette’s GPU Operator Packs handle driver installation, device plugins, and monitoring automatically across the cluster, so there is no additional GPU lifecycle overhead. Engineers write standard PyTorch, TensorFlow, or JAX code and ship to production with no Kubernetes expertise required on the practitioner side.

“Most enterprise AI teams already have Kubernetes. What they don’t have is a way to give engineers a self-service AI experience on top of it without months of internal platform work. With Spectro Cloud, we eliminate that gap,” said Sebastian Metti, Founder, Saturn Cloud.

Why This Matters for Regulated Industries

For organizations in defense, healthcare, financial services, and other regulated sectors, the integration extends to Spectro Cloud’s Palette VerteX edition. VerteX is the only multi-environment Kubernetes management platform to have achieved FIPS 140-3 validation and is in progress for FedRAMP Moderate authorization (Army-sponsored). Saturn Cloud running on VerteX-managed clusters inherits the cryptographic assurance that agencies and compliance-driven enterprises require, including air-gapped and tactical edge deployments.

This is a meaningful distinction from public cloud AI services that cannot operate in disconnected or classified environments.

Where the Integration Runs

Spectro Cloud Palette manages Kubernetes across bare metal, VMware, public cloud (EKS, AKS, OCI), private data centers, and edge locations, often from a single control plane managing thousands of clusters. Saturn Cloud’s integration spans that same footprint. An organization can run AI workloads in a central GPU cluster and deploy trained models to Palette-managed edge clusters at hospital sites, retail locations, manufacturing floors, or forward-deployed military installations.

“Most organizations do not want to build a separate AI platform from scratch. They want to extend the Kubernetes operating model, governance, and security they already trust into AI development and production. Our integration with Saturn Cloud does exactly that. Together, we enable platform teams to deliver a self-service AI experience on Palette-managed infrastructure – across data center, cloud, edge, and regulated environments – without introducing a parallel stack or compromising operational control”, said Saad Malik, Spectro Cloud’s CTO and Co-Founder.

About Saturn Cloud

Saturn Cloud is the AI token factory platform for neoclouds, AI Factory operators, and enterprises. Saturn Cloud’s platform layer gives these operators a managed AI platform on top of their GPU infrastructure, including fine-tuning, model serving, per-token inference, development environments, distributed training, OpenAI-compatible model deployment, and enterprise security and governance. Saturn Cloud supports GPU architectures and deploys across public cloud, private cloud, and on-premises environments. Learn more at saturncloud.io.

About Spectro Cloud

With our Palette and PaletteAI platforms, Spectro Cloud solves how enterprises and public sector organizations manage full-stack application and AI infrastructure in any environment: from edge to cloud, and from metal to model. Using the power of cloud-native technologies like Kubernetes, we give platform engineers and operations teams flexibility to choose their perfect stack, while benefiting from complete repeatable consistency. We automate the full lifecycle of complex infrastructure at scale, for massive cost savings and better business outcomes. Learn more at spectrocloud.com.

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SOURCE Saturn Cloud

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Orion Innovation Achieves AWS Migration Competency for Cloud Transformation

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New AWS competency empowers Orion to guide enterprises through seamless cloud migration and accelerated modernization at scale.

ISELIN, N.J., June 18, 2026 /PRNewswire/ — Orion Innovation (“Orion”), a data and AI-enabled software engineering services partner, announced that it has achieved Amazon Web Services (AWS) Migration Competency. This designation recognizes Orion’s demonstrated expertise in helping customers plan, accelerate, and execute their cloud migration and modernization journeys to AWS with a proven, outcome-driven methodology.

Achieving AWS Migration Competency differentiates Orion as an AWS Partner that delivers specialized consulting services designed to help enterprises adopt, develop, and deploy complex workloads on AWS. To earn the designation, partners must demonstrate deep technical proficiency and a strong track record of successfully delivering cloud migration solutions at scale.

The AWS Migration Competency enables Orion to offer customers the ability to participate in the AWS Migration Acceleration Program (MAP), a comprehensive and proven program based on AWS’s experience migrating thousands of enterprise customers to the cloud. Through MAP’s three-phased framework, Assess, Mobilize, and Migrate, and Modernize, Orion helps organizations reduce risk, optimize cost, and accelerate timelines as they move to the cloud.

“Earning the AWS Migration Competency reflects the depth of our cloud engineering expertise and our commitment to delivering secure, seamless migrations that create real business value for our clients,” said David Winter, EVP, Chief Cloud & Strategic Partner Officer at Orion Innovation. “This recognition strengthens our partnership with AWS and validates the proven methodology our teams use to modernize mission-critical workloads, reduce migration risk, and help our customers innovate faster on the cloud. We look forward to helping more organizations unlock the full benefits of AWS and build intelligent, future-ready enterprises.”

AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and proven expertise. As an AWS Partner with a proven approach to migrating applications on AWS, Orion enables organizations to move faster and create competitive business advantages.

About Orion Innovation

Orion Innovation is a data and AI-enabled software engineering services partner with deep cloud expertise, delivering digital experiences that create measurable business impact for clients.

Orion combines strategy, experience design, and engineering capabilities to help enterprises innovate, scale, and embrace future technologies.

Envision what’s next. Build what matters. For more information, visit orioninnovation.com.

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SOURCE Orion Innovation

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