Serverless Computing Market Size, Share, and Trends 2025 to 2034

The global serverless computing market size accounted for USD 28.02 billion in 2025 and is forecasted to hit around USD 92.22 billion by 2034, representing a CAGR of 14.15% from 2025 to 2034. The North America market size was estimated at USD 8.59 billion in 2024 and is expanding at a CAGR of 14.32% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

Last Updated : September 2025  |  Report Code : 6796  |  Category : ICT  |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Serverless Computing Market 

5.1. COVID-19 Landscape: Serverless Computing Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Serverless Computing Market, By Service Model

8.1. Serverless Computing Market, by Service Model

8.1.1. Function-as-a-Service (FaaS)

8.1.1.1. Market Revenue and Forecast

8.1.2. Backend-as-a-Service (BaaS)

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Serverless Computing Market, By Deployment Model

9.1. Serverless Computing Market, by Deployment Model

9.1.1. Public Cloud

9.1.1.1. Market Revenue and Forecast

9.1.2. Private Cloud

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid Cloud

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Serverless Computing Market, By Enterprise Size 

10.1. Serverless Computing Market, by Enterprise Size

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast

10.1.2. Small & Medium Enterprises (SMEs)

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global Serverless Computing Market, By End-Use Industry 

11.1. Serverless Computing Market, by End-Use Industry

11.1.1. BFSI (Banking, Financial Services & Insurance)

11.1.1.1. Market Revenue and Forecast

11.1.2. IT & Telecom

11.1.2.1. Market Revenue and Forecast

11.1.3. Healthcare & Life Sciences

11.1.3.1. Market Revenue and Forecast

11.1.4. Retail & eCommerce

11.1.4.1. Market Revenue and Forecast

11.1.5. Media & Entertainment

11.1.5.1. Market Revenue and Forecast

11.1.6. Manufacturing

11.1.6.1. Market Revenue and Forecast

11.1.7. Government & Public Sector

11.1.7.1. Market Revenue and Forecast

11.1.8. Others (Education, Travel, Transportation & Logistics)

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global Serverless Computing Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Service Model

12.1.2. Market Revenue and Forecast, by Deployment Model

12.1.3. Market Revenue and Forecast, by Enterprise Size

12.1.4. Market Revenue and Forecast, by End-Use Industry

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Service Model

12.1.5.2. Market Revenue and Forecast, by Deployment Model

12.1.5.3. Market Revenue and Forecast, by Enterprise Size

12.1.5.4. Market Revenue and Forecast, by End-Use Industry

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Service Model

12.1.6.2. Market Revenue and Forecast, by Deployment Model

12.1.6.3. Market Revenue and Forecast, by Enterprise Size

12.1.6.4. Market Revenue and Forecast, by End-Use Industry

12.2. Europe

12.2.1. Market Revenue and Forecast, by Service Model

12.2.2. Market Revenue and Forecast, by Deployment Model

12.2.3. Market Revenue and Forecast, by Enterprise Size

12.2.4. Market Revenue and Forecast, by End-Use Industry

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Service Model

12.2.5.2. Market Revenue and Forecast, by Deployment Model

12.2.5.3. Market Revenue and Forecast, by Enterprise Size

12.2.5.4. Market Revenue and Forecast, by End-Use Industry

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Service Model

12.2.6.2. Market Revenue and Forecast, by Deployment Model

12.2.6.3. Market Revenue and Forecast, by Enterprise Size

12.2.6.4. Market Revenue and Forecast, by End-Use Industry

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Service Model

12.2.7.2. Market Revenue and Forecast, by Deployment Model

12.2.7.3. Market Revenue and Forecast, by Enterprise Size

12.2.7.4. Market Revenue and Forecast, by End-Use Industry

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Service Model

12.2.8.2. Market Revenue and Forecast, by Deployment Model

12.2.8.3. Market Revenue and Forecast, by Enterprise Size

12.2.8.4. Market Revenue and Forecast, by End-Use Industry

12.3. APAC

12.3.1. Market Revenue and Forecast, by Service Model

12.3.2. Market Revenue and Forecast, by Deployment Model

12.3.3. Market Revenue and Forecast, by Enterprise Size

12.3.4. Market Revenue and Forecast, by End-Use Industry

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Service Model

12.3.5.2. Market Revenue and Forecast, by Deployment Model

12.3.5.3. Market Revenue and Forecast, by Enterprise Size

12.3.5.4. Market Revenue and Forecast, by End-Use Industry

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Service Model

12.3.6.2. Market Revenue and Forecast, by Deployment Model

12.3.6.3. Market Revenue and Forecast, by Enterprise Size

12.3.6.4. Market Revenue and Forecast, by End-Use Industry

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Service Model

12.3.7.2. Market Revenue and Forecast, by Deployment Model

12.3.7.3. Market Revenue and Forecast, by Enterprise Size

12.3.7.4. Market Revenue and Forecast, by End-Use Industry

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Service Model

12.3.8.2. Market Revenue and Forecast, by Deployment Model

12.3.8.3. Market Revenue and Forecast, by Enterprise Size

12.3.8.4. Market Revenue and Forecast, by End-Use Industry

12.4. MEA

12.4.1. Market Revenue and Forecast, by Service Model

12.4.2. Market Revenue and Forecast, by Deployment Model

12.4.3. Market Revenue and Forecast, by Enterprise Size

12.4.4. Market Revenue and Forecast, by End-Use Industry

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Service Model

12.4.5.2. Market Revenue and Forecast, by Deployment Model

12.4.5.3. Market Revenue and Forecast, by Enterprise Size

12.4.5.4. Market Revenue and Forecast, by End-Use Industry

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Service Model

12.4.6.2. Market Revenue and Forecast, by Deployment Model

12.4.6.3. Market Revenue and Forecast, by Enterprise Size

12.4.6.4. Market Revenue and Forecast, by End-Use Industry

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Service Model

12.4.7.2. Market Revenue and Forecast, by Deployment Model

12.4.7.3. Market Revenue and Forecast, by Enterprise Size

12.4.7.4. Market Revenue and Forecast, by End-Use Industry

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Service Model

12.4.8.2. Market Revenue and Forecast, by Deployment Model

12.4.8.3. Market Revenue and Forecast, by Enterprise Size

12.4.8.4. Market Revenue and Forecast, by End-Use Industry

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Service Model

12.5.2. Market Revenue and Forecast, by Deployment Model

12.5.3. Market Revenue and Forecast, by Enterprise Size

12.5.4. Market Revenue and Forecast, by End-Use Industry

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Service Model

12.5.5.2. Market Revenue and Forecast, by Deployment Model

12.5.5.3. Market Revenue and Forecast, by Enterprise Size

12.5.5.4. Market Revenue and Forecast, by End-Use Industry

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Service Model

12.5.6.2. Market Revenue and Forecast, by Deployment Model

12.5.6.3. Market Revenue and Forecast, by Enterprise Size

12.5.6.4. Market Revenue and Forecast, by End-Use Industry

Chapter 13. Company Profiles

13.1. Alibaba Cloud Function Compute

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Amazon Web Services (AWS Lambda)

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Cloudflare Workers

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. DigitalOcean App Platform

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Google Cloud Functions

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. IBM Cloud Functions

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Iron.io

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Microsoft Azure Functions

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. MuleSoft (API-led integration with serverless features)

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Netlify Functions

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The serverless computing market size is expected to increase from USD 24.55 billion in 2024 to USD 92.22 billion by 2034.

The serverless computing market is expected to grow at a compound annual growth rate (CAGR) of around 14.15% from 2025 to 2034.

The major players in the serverless computing market include Alibaba Cloud Function Compute, Amazon Web Services (AWS Lambda), Cloudflare Workers, DigitalOcean App Platform, Google Cloud Functions, IBM Cloud Functions, Iron.io, Microsoft Azure Functions, MuleSoft, Netlify Functions, Nimbella, OpenFaaS, Oracle Cloud Functions, Red Hat OpenShift Serverless, SAP Serverless Runtime, Serverless, Inc, StackPath Serverless Edge, Tencent Cloud SCF, Twilio Runtime, and Vercel (Now).

The driving factors of the serverless computing market are the increasing adoption of cloud-native architectures, real-time data processing requirements, and the rising demand for cost-efficient, scalable, and event-driven computing solutions.

North America region will lead the global serverless computing market during the forecast period 2025 to 2034.

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