Authors:
Preeti Wadhwani, Satyam Jaiswal
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Cloud Migration Service Market Size & Share 2026-2035
Report ID: GMI8436
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Published Date: July 2026
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Report Format: PDF/Excel/Dashboard/Platform
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Cloud Migration Service Market Size
The global cloud migration service market was estimated at USD 15.1 billion in 2025. The market is expected to grow from USD 18.2 Billion in 2026 to USD 146.6 Billion in 2035, at a CAGR of 26.1% according to latest report published by Global Market Insights.
Cloud Migration Service Market Key Takeaways
Market Leader: AWS led with over 10.6% market share in 2025.
Leading Players: Top 5 players in this market include AWS, IBM, Accenture, Google, NTT Data, which collectively held a market share of 45.9% in 2025.
Every industry is implementing accelerated digitalization of their businesses, including the modernization of outdated technology infrastructure, by being more efficient with their operations and using information from their operations to create new models for doing business. One of the most common types of cloud services is cloud migration service, which is a way to transfer workloads, applications and databases from physical locations into cloud environments with less disruption to daily operations than other methods. The overall demand for cloud consulting and deployment services and managed cloud services is expected to increase due to the recent increases in adoption of artificial intelligence, analytics, Internet of Things (IoT) devices, and cloud-native applications.[1]National Institute of Standards and Technology (NIST), https://www.nist.gov/programs-projects/nist-cloud-computing-program-nccp
Companies are increasingly using the cloud as a means of transitioning to a more efficient operation while reducing capital costs associated with operating physical data centers and using legacy hardware. One of the key features of many cloud platforms is their ability to provide flexible pay-as-you-go pricing structures, which allow companies to more effectively manage IT costs by maximizing the amount of resource that can be used (i.e., using resources more effectively) and only paying for those resources on an "as-needed" basis. The ability to have the quantity of computing resources needed to meet the needs of the business, without incurring any upfront equipment costs, has made migration to the cloud a key goal for companies looking to improve their flexibility (financially) and operational efficiency.[2]OECD Digital Economy, https://www.oecd.org/digital
There is an increasing demand for scalable infrastructures with many organizations migrating applications to the cloud as they seek to increase efficiency through migrated applications and a quicker time to market for their new products and services. Organizations can save time and money by utilizing cloud computing services, allowing them to efficiently migrate their applications into a cloud environment, thereby improving their ability to restore services after an outage.
The trends of hybrid and remote employments have many organizations continuing to invest in cloud migration or expanding their use of clouds. Many organizations need secure and dependable access to their applications, data and collaborative tools across multiple geographic locations. Cloud migration services help organizations build centralized, scalable and secure digital environments for remote workers, as well as providing IT departments with simpler processes for managing infrastructure and improving IT resiliency.
Cloud Migration Service Market Trends
The trend to adopt hybrid and multi-cloud strategies is one of the most important in the cloud migration services market. Enterprises are moving workloads to multiple public, private, and hybrid clouds to be more operationally resilient, not be locked into a vendor and allow for the optimization of costs associated with their infrastructures. As organizations look for more flexibility in how to manage their mission critical applications, the demand for consulting, integration and managed services pertaining to cloud migration continues to grow around the world.
Automation and Artificial Intelligence (AI) are changing cloud migration processes by improving everything from assessing the workload to planning its migration to determining the dependencies of the applications to optimizing after the migration is complete. Migration providers are deploying AI-based tools because they can help reduce project complexity, minimize downtime and accelerate cloud migration schedules.
Cloud-Native Modernization Continues to Grow as Organizations move Beyond Simple Lift-and-Shift, while the current trend of lift-and-shift is transitioning into more advanced forms of migration such as re-architecting, and containerization, the trend towards adopting Microservices, Kubernetes, serverless computing, and DevOps practices to gain greater benefits from cloud environments is continuing to grow. This is driving the need for enhanced migration services that can assist with the transformation of applications while migrating to the cloud.
Migration to the cloud will require enterprises to consider the security of their data and to ensure compliance with local regulations. Cloud service providers that are successfully providing services to enterprises in highly-regulated sectors of the economy (such as banking and finance, healthcare, government and telecommunications) are increasingly seeking secure migration methodologies and zero-trust architectures, rather than simply fulfilling regulatory requirements.[4]Cloud Security Alliance, https://cloudsecurityalliance.org
With continued changes in regulations around the world, cloud migration service providers are increasing their governance and compliance capabilities with a focus on helping their customers address the increasing complexity of their requirements.
With the growth of managed cloud services, more than ever before, organizations are utilizing cloud service providers to provide their operational support. As service providers are being relied upon to perform activities such as cloud optimization, day-to-day monitoring, security management, disaster recovery, and governance of their clients' infrastructure, these providers are also gaining a recurring revenue stream that is benefiting from managed cloud services. As a result, this evolution has created a long-term business relationship for service providers and their customers through end-to-end lifecycle management of cloud migration.
Cloud Migration Service Market Analysis
Based on platform, the cloud migration service market is segmented into solution and services. The solution segment dominated the market, accounting for around 62.1% in 2025 and is expected to grow at a CAGR of over 25.3% from 2026 to 2035.
Based on deployment model, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. The Public Cloud segment dominated the market, accounting for around 48.3% in 2025 and is expected to grow at a CAGR of over 27% from 2026 to 2035.
Based on enterprise size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). The Large Enterprises segment dominated the market, accounting for around 72.5% in 2025 and is expected to grow at a CAGR of over 24.1% from 2026 to 2035.
Based on end use, the market is segmented into BFSI, IT & Telecommunications, Healthcare & Life Sciences, Government & Public Sector, Manufacturing, Retail & Consumer Goods, Media & Entertainment, and Others. IT & Telecommunications segment accounted for the largest market share, accounting for around 24% in 2025.
U.S. dominates the North American cloud migration service market, showcasing strong growth potential, with a CAGR of 24.7% from 2026 to 2035.
Germany dominates the European market, growing with a CAGR of 27.7% from 2026 to 2035.
China dominates the Asia Pacific market, accounting for 53.9% and generating USD 2.2 billion in 2026.
Brazil leads the Latin American market, exhibiting growth of 17.7% CAGR during the forecast period of 2026 to 2035.
UAE witnessed substantial growth in the Middle East and Africa market in 2025, growing with a CAGR of 22.5% from 2026 to 2035.
Cloud Migration Service Market Share
The top 7 companies in cloud migration service industry are Accenture, IBM, Tata Consultancy Services (TCS), Infosys, Cognizant Technology Solutions, Wipro, and Capgemini, contributing around 52% of the market share in 2025.
Accenture has established itself as the leading provider of cloud transformation services to the banking, financial services, insurance, healthcare, manufacturing and public sectors. Through many partnerships with major cloud providers including AWS, Microsoft Azure, Google Cloud, Oracle Cloud and Salesforce, Accenture has established itself as a leader in the cloud migration services market. Accenture provides complete cloud migration and transformation solutions for its customers through end-to-end cloud migration and transformation service offerings including application and service migrations to the cloud; modernizing existing applications and services to make them suitable for cloud use; developing new cloud-native applications and services; providing security; and providing accountable management of cloud operations post-migration.
Cloud Migration Service Market Companies
Major players operating in the cloud migration service industry are:
Accenture
10.6% Market Share
Collective Market Share is 45.9%
Cloud Migration Service Industry News
In February 2025, Accenture Expands Generative AI-Powered Cloud Migration Services. Accenture has utilized Generative AI within its Cloud Migration Portfolio to enhance its offerings in Cloud Assessment, Application Modernization and Cloud Optimization, making it easier and faster than ever to migrate workloads. By leveraging these capabilities. Accenture can accelerate the timeline for cloud migration projects, increase the speed at which organizations can analyze workloads; and solidify its position as a leader in enterprise-level cloud migration projects.
In November 2024, IBM Introduces New Hybrid Cloud Migration Solutions Through Red Hat Platform. IBM has enhanced its Hybrid Cloud Migration Capability by enhancing Red Hat's OpenShift Technologies within IBM's Hybrid Platform to allow for better application modernization and support for multi-cloud solutions. This technology allows businesses that have built complex workloads on their respective on-premises (i.e. private cloud to public to hybrid) infrastructures to migrate them while still adhering to their respective security and compliance policies.
The Cloud migration service market research report includes in depth coverage of the industry with estimates & forecasts in terms of revenue (USD Mn) from 2022 to 2035, for the following segments:
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Market, By Platform
Solution
Market, By Deployment Model
Market, By Enterprise Size
Market, By End Use
The above information is provided for the following regions and countries:
North America
Europe
Asia Pacific
Latin America
MEA
Table of Contents
Chapter 1 Research Methodology
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates & Forecast, By Platform, 2022 - 2035 (USD Mn)
Chapter 6 Market Estimates & Forecast, By Deployment Model, 2022 - 2035 (USD Mn)
Chapter 7 Market Estimates & Forecast, By Enterprise Size, 2022 - 2035 (USD Mn)
Chapter 8 Market Estimates & Forecast, By End User, 2022 - 2035 (USD Mn)
Chapter 9 Market Estimates & Forecast, By Region, 2022 - 2035 (USD Mn)
Chapter 10 Company Profiles
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The companies listed in this report are a curated selection - not the full competitive universe.
Our market revenue calculations use a bottom-up methodology that accounts for all players across all regions - including manufacturers, distributors, and specialists not individually profiled. The profiles section spotlights strategically significant players; it does not define the scope of our market sizing.
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
โ Key growth drivers and their assumed impact
โ Restraining factors and mitigation scenarios
โ Regulatory assumptions and policy change risk
โ Technology adoption curve parameter
โ Macroeconomic assumptions (GDP growth, inflation, currency)
โ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
โ Statistical Validation
โ Expert Validation
โ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →