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Serverless Computing Market Size, Share And Trends Report, 2030
The global serverless computing market size was estimated at USD 24.51 billion in 2024 and is projected to reach USD 52.13 billion by 2030, growing at a CAGR of 14.1% from 2025 to 2030


Serverless Computing Mark
BriefingWire.com, 9/03/2025 - Serverless Computing Market Summary

The global serverless computing market size was estimated at USD 24.51 billion in 2024 and is projected to reach USD 52.13 billion by 2030, growing at a CAGR of 14.1% from 2025 to 2030. The serverless computing industry is poised for significant growth, driven by enterprises' digital transformation initiatives, increasing adoption of cloud technologies, and the need for agile, cost-effective Function-as-a-service (FaaS)s.

Key Market Trends & Insights

North America dominated the global serverless computing industry with the largest share of over 35% in 2024.

The serverless computing industry in Europe is growing significantly at a CAGR of over 13.0% from 2025 to 2030.

The Asia Pacific serverless computing industry is growing significantly at a CAGR of over 15.0% from 2025 to 2030.

Based on service model, the function-as-a-service (FaaS) segment dominated the serverless computing industry and accounted for a market share of over 61% in 2024.

In terms of enterprise size, the large enterprises segment accounted for the largest market share of over 59% in 2024.

Market Size & Forecast

2024 Market Size: USD AA Billion

2030 Projected Market Size: USD 52.13 Billion

CAGR (2025-2030): 14.1%

North America: Largest market in 2024

Serverless computing offers a transformative approach to cost management by eliminating the need for organizations to maintain and manage physical or virtual server infrastructure. Unlike traditional IT environments that require upfront investments in servers, storage, and ongoing maintenance, serverless Function-as-a-service (FaaS) operate on a pay-as-you-go pricing model. This means businesses are charged only for the compute resources consumed during the execution of their end uses, significantly reducing capital expenditure and operating costs. This model is particularly advantageous for small and medium enterprises (SMEs), which often have limited IT budgets and cannot afford to invest heavily in infrastructure.

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