July 7, 2024

Global Cloud Migration Service Market Owing To Growing Adoption Of Cloud-Based Technologies

Market Overview:

Cloud migration services help organizations easily transfer their applications, data, and infrastructure from on-premise servers to public, private or hybrid cloud environments. This enables companies to leverage various benefits of cloud computing such as scalability, agility, flexibility and pay-per-use pricing.

Cloud migration services involve assessing existing IT infrastructure, developing cloud architecture and migration plan, re-platforming applications for cloud, managing the migration process, testing, and go-live support. Key end-uses of cloud migration services are BFSI, IT & telecom, healthcare, retail, government, and manufacturing sectors. With more businesses adopting cloud technologies to power their IT operations, demand for cloud migration services is growing at a robust pace.

Market Dynamics:

The growing adoption of cloud-based technologies across various industry verticals is driving the growth of global cloud migration service market. Cloud migration helps companies improve scalability, agility and reduce infrastructure costs which is prompting more organizations to shift to cloud platforms. Additionally, emergence of technologies like big data analytics, artificial intelligence are necessitating companies to migrate to cloud to efficiently manage large volumes of data. However, security concerns related to cloud platforms and lack of in-house expertise are restraining the market growth.

The global Cloud Migration Service Market Demand is estimated to be valued at US$ 6.84 Bn in 2023 and is expected to exhibit a CAGR of 20% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

SWOT Analysis

Strength: The global cloud migration service market provides flexibility and scalability to businesses. It offers reduced IT costs and easy access to advanced tools & technologies. Cloud migration services help companies optimize resources and focus on core business functions.

Weakness: Migrating to the cloud comes with security risks as vulnerabilities may exist. It also requires sizable investments in new infrastructure and retraining of employees. Managing cloud platforms is complex and migrating legacy systems to the cloud is challenging.

Opportunity: The widespread adoption of hybrid cloud models can drive the demand for migration services. Growing acceptance of Work from Home trends post-COVID-19 is also prompting more organizations to leverage cloud infrastructure.

Threats: Lack of skilled professionals hampers effective cloud migrations. Compatibility issues between legacy systems and cloud environments pose a threat. Regulatory uncertainty and geo-political tensions can negatively impact businesses’ cloud strategies.

Key Takeaways:

The global cloud migration service market is expected to witness high growth, exhibiting CAGR of 20.% over the forecast period, due to increasing demand for scalable and flexible cloud platforms. Large enterprises and SMEs are widely adopting cloud migration solutions to optimize operations and reduce capital expenditure.

Regional analysis: North America dominates the global market, owing to significant technological advancements and widespread adoption of cloud computing in the region. Asia Pacific exhibits the fastest growth, supported by growing investments to develop cloud infrastructure by key players like AWS, Microsoft, and Google. China, India, and Japan are major revenue generators in the region.

Key players operating in the global cloud migration service market are IBM, Microsoft, Amazon Web Services, Google, Cisco, NTT Data, VMware, DXC, Rackspace, Informatica, Accenture, WSM, Zerto, Virtustream, RiverMeadow, OpenStack, CloudEndure, Cloudreach, Apps Associates, Rigs IT. The market is highly competitive with leading players focusing on partnerships, M&A, and innovations to strengthen their market position.

Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it