The Global Public Cloud market is valued at USD 518.69 billion in the current year and is expected to register a CAGR of 16.3% during the forecast period to reach USD 1,103.60 billion in five years. One of the primary market drivers for public cloud adoption is the unmatched scalability and elasticity it offers to businesses of all sizes. Traditional on-premises infrastructures often need help to handle sudden spikes in demand, leading to costly overprovisioning or underutilization of resources. Numerous providers allow businesses to scale their resources up or down rapidly in response to changing requirements.
The Global Public Cloud market is moderately consolidated with the presence of several players like Amazon Web Services Inc.(AMAZON.COM, Inc.), Alibaba Cloud (Alibaba Group Holding Limited), Google LLC (Alphabet Inc.), Microsoft Corporation, Oracle Corporation, SAP SE, etc. The companies continuously invest in strategic partnerships and product developments to gain substantial market share. Some of the recent developments in the market are:
In April 2023, VMware, Inc. announced VMware Cross-Cloud managed services, a set of prescriptive recommendations with improved partner and consumer benefits that will enable highly skilled members to grow their managed services practices. Building on VMware's conquest in creating an ecosystem of more than 4,000 cloud service players that serve tens of thousands of clients worldwide, VMware Cross-Cloud managed services will make facility-managed services faster for partners and easier to consume by clients. This will enhance partner profitability while opening new possibilities for growth and expansion.
In October 2022, Google Cloud announced that Wayfair, one of the world's most prominent online destinations for the home, has completed migrating its data center services and applications to the cloud, with Google Cloud as the basis of its overall cloud strategy. The move enables the retailer to increase enterprise agility and technical innovation, manage burst capacity, and scale new uses of machine learning (ML) and artificial intelligence (AI) for scenarios ranging from fraud detection to personalized customer outreach.
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