Serverless Architecture Market to Witness Surge in Adoption during the Forecast Period

Introduction

A serverless infrastructure enables users to shift their operational responsibilities, increasing agility, and innovation. Hosting a software application on the internet usually involves some kind of server infrastructure. Serverless architecture allows users to build and run applications by eliminating the management of servers, cluster provisioning, patching, operating system maintenance, and capacity provisioning. It supports any type of application or backend services with advanced monitoring, logging, developing, and debugging tools.

Serverless features differ among cloud vendors, as each vendor has its idea of integration points and configuration. Therefore, to transition from on-premise to cloud, customers need to change their code, operational tools, and even their software architecture. Service level agreements do not guarantee performance, and functions may take a long time to respond. Serverless architecture is highly in demand among various industry verticals worldwide, and many companies are interested in making huge investments to explore new areas of the market in the study. Thus, foreign investments, demand from customers, and favorable government regulations are anticipated to boost the serverless architecture market growth during the forecast period.

Competitive Players

1. Amazon
2. Google
3. Microsoft
4. IBM
5. Oracle
6. Alibaba
7. Cloudflare
8. NTT DATA
9. Rackspace
10. TIBCO Software
11. Stackpath
12. EnterpriseWeb
13. Kong
14. Serverless
15. Snyk
16. OpenLegacy
17. Innominds
18. Stackery
19. Twistlock

Recent Developments

Recent Developments

• In April 2020, Amazon Web Services launched Fargate 1.4, an update to its serverless compute engine for containers platform that also supports shared Elastic File System storage and removes the use of Docker Engine
• In November 2019, Google released Cloud Run serverless containers, including new metrics that allows developers to run containers on Kubernetes (K8s) using a serverless model

Segmentation

1. By Service Type
   1. Automatation and Integration
   2. Monitoring
   3. API management
   4. Security
   5. Analytics
   6. Design and consulting
   7. Others
2. By Deployment Mode
   1. Public Cloud
   2. Private Cloud
3. By organization size
   1. Large Enterprises
   2. SMEs
4. By Application
   1. Real-time file/stream processing
   2. Web Application Development
   3. IoT Backend
   4. Others
5. By Vertical
   1. Banking, Financial Services, and Insurance
   2. Telecommunications and IT
   3. Retail and E-commerce
   4. Healthcare and Life Sciences
   5. Government and Public Sector
   6. Manufacturing
   7. Media and Entertainment
   8. Others