Serverless Architecture Market Analysis

Organization 

The serverless architecture market is segmented and analyzed for demand and supply by organization size into large enterprise, and SMEs. Out of which, the large enterprise segment is anticipated to garner the highest revenue by the end of 2035. The growth of the market can be attributed to growing number of large enterprises. In 2021, there were predicted to be about 351,519 large enterprises with 250 or more employees worldwide, up from approximately 337,520 in 2020. Hence, the adoption of serverless architecture is growing. Large businesses are capable of handling unforeseen, abrupt spikes in traffic or demand via serverless architecture. Serverless architecture ensures that applications could handle any level of traffic without the need for manual intervention by automatically scaling up or down. Moreover, large businesses that might have to cope with the high costs of owning and maintaining their own servers and data centers may find that serverless architecture is a cost-effective alternative. Instead of needing to maintain a predetermined amount of capacity, serverless architecture allows businesses to simply pay for the computer resources they really utilize.

Deployment Model 

The global serverless architecture market is also segmented and analyzed for demand and supply by deployment model into public cloud, and private cloud. Amongst which, the public cloud is estimated to have the significant growth over the forecast period. As a result of their scalability, availability, and affordability, public clouds including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are frequently chosen for serverless architecture. Public clouds may provide on-demand access to a variety of serverless services and resources, which could be quickly and simply scaled up or down to suit changing demand. In addition to its pay-as-you-go pricing options, which allow businesses to only pay for the resources they use, public cloud is also cost-effective for serverless architecture. Advanced technologies including machine learning, artificial intelligence, and big data analytics are readily available through public cloud providers and may be incorporated into serverless applications. These technologies could be also provided by private cloud. However, a private cloud might not provide the same level of scalability and flexibility as a public cloud and may cost more to set up and maintain. Since public cloud companies have more money to devote to R&D, private cloud providers might not provide the same level of access to cutting-edge technologies. Hence, the demand for public cloud is more in serverless architecture.

Our in-depth analysis of the global market includes the following segments: