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市场调查报告书
商品编码
1587626

到 2030 年无伺服器运算市场预测：按服务类型、使用类型、部署模型、公司规模、应用程式、最终用户和地区进行的全球分析

Serverless Computing Market Forecasts to 2030 - Global Analysis By Service Type (Function as a Service (FaaS), Backend as a Service (BaaS) and Serverless Containers), Usage Type, Deployment Model, Enterprise Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球无伺服器运算市场规模将达到 147 亿美元，预计到 2030 年将达到 485 亿美元，预测期内复合年增长率为 22.0%。

无伺服器运算是云端处理执行模型，允许开发人员建置和运行应用程式而无需管理伺服器基础架构。在此模型中，云端提供者动态分配资源，并根据需要自动扩展和管理功能的执行。开发人员只专注于编写程式码，而提供者负责处理配置、扩充和维护等任务。这种方法具有成本效益，因为使用者只需为执行期间消耗的运算资源付费，并且非常适合具有不同工作负载的应用程式。

根据犹他州智慧 IT 自动化软体供应商 SaltStack 最近的一项研究，40% 的组织将超过 10% 的应用程式容器化，儘管三分之二的组织担心容器策略需要在安全性方面进行足够的投资。

数位转型倡议

市场上的数位转型工作使组织能够建立和部署应用程序，而无需复杂的基础设施管理，从而推动创新。这种转变使公司能够无缝扩展业务、降低成本并加快上市时间。透过利用无伺服器架构，企业可以专注于核心功能并提高敏捷性，从而改善客户体验并提高业务效率。

失去对基础设施的控制

失去对市场基础设施​​的控制可能会给组织带来重大挑战。由于第三方提供者管理关键元件，因此监控能力的降低可能会导致安全漏洞。此外，依赖外部服务可能会使监管标准的合规性变得复杂，并妨碍故障排除。此外，供应商政策的意外变更或效能问题可能会扰乱业务并降低可靠性。

与新兴技术集成

与市场中的新技术整合可以增强能力并促进创新。透过将无伺服器架构与人工智慧、机器学习和物联网结合，企业可以创建更快、更聪明的应用程式。这种协同效应可以实现即时资料处理和自动扩展，以优化效能和资源利用率。此外，无伺服器运算可以与区块链技术集成，以提高安全性和透明度。

资料安全问题

市场中的资料安全问题为组织带来了重大风险。共用责任模型可能会导致谁负责保护敏感资料的混乱，从而增加了违规的可能性。此外，如果第三方供应商存在安全问题，那么依赖第三方供应商可能会使企业面临漏洞。此外，无伺服器环境的动态特性使监控和合规工作变得复杂，难以确保资料完整性并防止未授权存取。

COVID-19 的影响：

随着组织寻求灵活且可扩展的解决方案来支援远端工作和数位服务，COVID-19 大流行加速了无伺服器运算的采用。随着线上应用程式和服务需求的增加，企业已转向无伺服器架构以提高敏捷性并降低营运成本。这种转变实现了新功能的快速部署，并提高了不确定时期的復原能力。因此，无伺服器运算已成为疫情后数位转型倡议的关键推动者。

事件驱动计算领域预计将在预测期内成为最大的领域

事件驱动运算领域使应用程式能够动态响应即时事件，预计将在预测期内占据最大的市场占有率。该模型允许开发人员根据特定事件（例如使用者互动或系统变更）触发功能，从而实现高效的资源利用并节省成本。这种方法还促进创新，使团队能够快速迭代和部署新功能，而无需增加基础设施管理。

预计移动后端领域在预测期内将出现最高的复合年增长率。

预计移动后端领域在预测期内将出现最高的复合年增长率。透过利用无伺服器架构，开发人员可以专注于建置功能，同时随着用户负载的变化自动扩展。这种方法提高了开发速度并降低了成本，从而可以快速部署行动应用程式。此外，与第三方服务的无缝整合简化了资料管理并改善了行动应用程式的使用者体验。

占比最大的地区：

预计北美地区在预测期内将占据最大的市场占有率。主要企业正在采用无伺服器架构来提高应用开发和部署的效率，从而提高敏捷性和创新性。该地区非常关注数位转型，推动无伺服器技术的采用以及云端基础设施的进步。随着公司寻求优化其运营，北美仍然是全球无伺服器领域的关键参与者。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高成长率。云端运算的日益普及使得无伺服器架构对于希望提高业务效率且无需管理实体伺服器负担的企业来说成为有吸引力的选择。中国、印度和日本等国家数位技术的快速发展正在促使企业采用云端基础的解决方案，包括无伺服器架构。

免费客製化服务：

订阅此报告的客户将收到以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要参与者的 SWOT 分析（最多 3 家公司）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球无伺服器运算市场：依服务类型

  • Function as a Service（FaaS）
  • Backend as a Service（BaaS）
  • 无伺服器容器

第六章全球无伺服器运算市场：依使用类型

  • 事件驱动计算
  • 微服务架构
  • 网路应用程式

第七章全球无伺服器运算市场：依部署模型

  • 公共云端
  • 私有云端
  • 混合云端

第八章全球无伺服器运算市场：依公司规模

  • 小型企业
  • 大公司

第九章全球无伺服器运算市场：依应用分类

  • 网路和行动应用程式
  • IoT
  • 巨量资料
  • 机器学习
  • 行动后端
  • 媒体处理
  • 其他用途

第 10 章 全球无伺服器运算市场：依最终使用者划分

  • 资讯科技和通讯
  • 零售与电子商务
  • 银行、金融服务和保险 (BFSI)
  • 卫生保健
  • 媒体和娱乐
  • 教育
  • 其他最终用户

第十一章全球无伺服器运算市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • Amazon Web Services（AWS）
  • Microsoft Azure
  • Google Cloud Platform
  • IBM Cloud
  • Oracle Cloud
  • Cloudflare
  • Firebase
  • VMware Inc.
  • Zappa
  • Twilio
  • Alibaba Cloud
  • Supabase
  • Mongodb Atlas
  • Redis Labs
  • Pivotal
Product Code: SMRC27611

According to Stratistics MRC, the Global Serverless Computing Market is accounted for $14.7 billion in 2024 and is expected to reach $48.5 billion by 2030 growing at a CAGR of 22.0% during the forecast period. Serverless computing is a cloud computing execution model that allows developers to build and run applications without managing server infrastructure. In this model, the cloud provider dynamically allocates resources, automatically scaling and managing the execution of functions as needed. Developers focus solely on writing code, while the provider handles tasks like provisioning, scaling, and maintenance. This approach enables cost efficiency, as users pay only for the compute resources consumed during execution, making it ideal for applications with variable workloads.

According to a recent survey by SaltStack, a Utah-based provider of intelligent IT automation software, even though two-thirds of organizations have more than 10% of their applications containerized, 40% of the organizations still need to be concerned that their container strategy needs to invest in security adequately.

Market Dynamics:

Driver:

Digital transformation initiatives

Digital transformation initiatives in the market are driving innovation by enabling organizations to build and deploy applications without the complexity of managing infrastructure. This shift allows businesses to scale operations seamlessly, reduce costs, and accelerate time-to-market. By leveraging serverless architectures, companies can focus on core functionalities and enhance agility, resulting in improved customer experiences and greater operational efficiency.

Restraint:

Loss of control over infrastructure

The loss of control over infrastructure in the market can lead to significant challenges for organizations. This diminished oversight may result in security vulnerabilities, as third-party providers manage critical components. Additionally, reliance on external services can complicate compliance with regulatory standards and hinder troubleshooting efforts. Moreover, unexpected changes in vendor policies or performance issues can disrupt business operations, leading to decreased reliability.

Opportunity:

Integration with emerging technologies

Integration with emerging technologies in the market is enhancing capabilities and driving innovation. By combining serverless architectures with artificial intelligence, machine learning, and IoT, organizations can create more responsive and intelligent applications. This synergy allows for real-time data processing and automated scaling, optimizing performance and resource usage. Additionally, integrating serverless computing with blockchain technology can enhance security and transparency.

Threat:

Data security concerns

Data security concerns in the market pose significant risks for organizations. The shared responsibility model can lead to confusion over who is accountable for securing sensitive data, increasing the potential for breaches. Additionally, reliance on third-party providers can expose businesses to vulnerabilities if those vendors experience security lapses. Furthermore, the dynamic nature of serverless environments complicates monitoring and compliance efforts, making it challenging to ensure data integrity and protect against unauthorized access.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of serverless computing as organizations sought flexible, scalable solutions to support remote work and digital services. With increased demand for online applications and services, businesses turned to serverless architectures to enhance agility and reduce operational costs. This shift enabled rapid deployment of new features and improved resilience during uncertain times. As a result, serverless computing has gained prominence as a key enabler of digital transformation initiatives in the post-pandemic landscape.

The event-driven computing segment is projected to be the largest during the forecast period

The event-driven computing segment is projected to account for the largest market share during the projection period enabling applications to respond dynamically to real-time events. This model allows developers to trigger functions based on specific events, such as user actions or system changes, resulting in efficient resource utilization and cost savings. This approach also fosters innovation, as teams can rapidly iterate and deploy new features without heavy infrastructure management.

The mobile backend segment is expected to have the highest CAGR during the forecast period

The mobile backend segment is expected to have the highest CAGR during the extrapolated period. By leveraging serverless architectures, developers can focus on building features while automatically scaling to accommodate varying user loads. This approach enhances development speed and reduces costs, enabling quicker deployment of mobile applications. Furthermore, seamless integration with third-party services simplifies data management and enhances user experiences in mobile applications.

Region with largest share:

North America region is projected to account for the largest market share during the forecast period. Major tech companies are adopting serverless architectures to enhance application development and deployment efficiency, leading to improved agility and innovation. The region's strong emphasis on digital transformation, coupled with advancements in cloud infrastructure, is fostering the adoption of serverless technologies. As businesses seek to optimize operations, North America remains a key player in the global serverless landscape.

Region with highest CAGR:

Asia Pacific is expected to register the highest growth rate over the forecast period. The increasing penetration of cloud computing is making serverless architecture an attractive option for companies looking to streamline operations without the burden of managing physical servers. Rapid advancements in digital technologies across countries like China, India, and Japan are pushing businesses to adopt cloud-based solutions, including serverless architecture.

Key players in the market

Some of the key players in Serverless Computing market include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, IBM Cloud, Oracle Cloud, Cloudflare, Firebase, VMware Inc., Zappa, Twilio , Alibaba Cloud, Supabase, Mongodb Atlas, Redis Labs and Pivotal.

Key Developments:

In May 2024, Google Cloud and MongoDB collaborated to enhance Gemini Code Assist, improving code suggestions for MongoDB users. This collaboration helps developers rapidly prototype and modernize applications by offering better insights and updates for MongoDB code and best practices.

In March 2024, Cloudflare launched defensive AI, a tailored security solution designed to protect organizations against AI-driven threats. Defensive AI leverages unique traffic patterns to offer personalized defenses, safeguarding critical applications and networks from evolving risks as AI-enhanced attacks become more sophisticated.

Service Types Covered:

  • Function as a Service (FaaS)
  • Backend as a Service (BaaS)
  • Serverless Containers

Usage Types Covered:

  • Event-driven Computing
  • Microservices Architecture
  • Web Applications

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Enterprise Sizes Covered:

  • Small and Medium-Sized Enterprises (SMEs)
  • Large Enterprises

Applications Covered:

  • Web and Mobile Apps
  • IoT
  • Big Data
  • Machine Learning
  • Mobile Backend
  • Media Processing
  • Other Applications

End Users Covered:

  • IT and Telecom
  • Retail and E-commerce
  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Media and Entertainment
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Serverless Computing Market, By Service Type

  • 5.1 Introduction
  • 5.2 Function as a Service (FaaS)
  • 5.3 Backend as a Service (BaaS)
  • 5.4 Serverless Containers

6 Global Serverless Computing Market, By Usage Type

  • 6.1 Introduction
  • 6.2 Event-driven Computing
  • 6.3 Microservices Architecture
  • 6.4 Web Applications

7 Global Serverless Computing Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Public Cloud
  • 7.3 Private Cloud
  • 7.4 Hybrid Cloud

8 Global Serverless Computing Market, By Enterprise Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Enterprises (SMEs)
  • 8.3 Large Enterprises

9 Global Serverless Computing Market, By Application

  • 9.1 Introduction
  • 9.2 Web and Mobile Apps
  • 9.3 IoT
  • 9.4 Big Data
  • 9.5 Machine Learning
  • 9.6 Mobile Backend
  • 9.7 Media Processing
  • 9.8 Other Applications

10 Global Serverless Computing Market, By End User

  • 10.1 Introduction
  • 10.2 IT and Telecom
  • 10.3 Retail and E-commerce
  • 10.4 Banking, Financial Services, and Insurance (BFSI)
  • 10.5 Healthcare
  • 10.6 Media and Entertainment
  • 10.7 Education
  • 10.8 Other End Users

11 Global Serverless Computing Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Amazon Web Services (AWS)
  • 13.2 Microsoft Azure
  • 13.3 Google Cloud Platform
  • 13.4 IBM Cloud
  • 13.5 Oracle Cloud
  • 13.6 Cloudflare
  • 13.7 Firebase
  • 13.8 VMware Inc.
  • 13.9 Zappa
  • 13.10 Twilio
  • 13.11 Alibaba Cloud
  • 13.12 Supabase
  • 13.13 Mongodb Atlas
  • 13.14 Redis Labs
  • 13.15 Pivotal

List of Tables

  • Table 1 Global Serverless Computing Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Serverless Computing Market Outlook, By Service Type (2022-2030) ($MN)
  • Table 3 Global Serverless Computing Market Outlook, By Function as a Service (FaaS) (2022-2030) ($MN)
  • Table 4 Global Serverless Computing Market Outlook, By Backend as a Service (BaaS) (2022-2030) ($MN)
  • Table 5 Global Serverless Computing Market Outlook, By Serverless Containers (2022-2030) ($MN)
  • Table 6 Global Serverless Computing Market Outlook, By Usage Type (2022-2030) ($MN)
  • Table 7 Global Serverless Computing Market Outlook, By Event-driven Computing (2022-2030) ($MN)
  • Table 8 Global Serverless Computing Market Outlook, By Microservices Architecture (2022-2030) ($MN)
  • Table 9 Global Serverless Computing Market Outlook, By Web Applications (2022-2030) ($MN)
  • Table 10 Global Serverless Computing Market Outlook, By Deployment Model (2022-2030) ($MN)
  • Table 11 Global Serverless Computing Market Outlook, By Public Cloud (2022-2030) ($MN)
  • Table 12 Global Serverless Computing Market Outlook, By Private Cloud (2022-2030) ($MN)
  • Table 13 Global Serverless Computing Market Outlook, By Hybrid Cloud (2022-2030) ($MN)
  • Table 14 Global Serverless Computing Market Outlook, By Enterprise Size (2022-2030) ($MN)
  • Table 15 Global Serverless Computing Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2022-2030) ($MN)
  • Table 16 Global Serverless Computing Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 17 Global Serverless Computing Market Outlook, By Application (2022-2030) ($MN)
  • Table 18 Global Serverless Computing Market Outlook, By Web and Mobile Apps (2022-2030) ($MN)
  • Table 19 Global Serverless Computing Market Outlook, By IoT (2022-2030) ($MN)
  • Table 20 Global Serverless Computing Market Outlook, By Big Data (2022-2030) ($MN)
  • Table 21 Global Serverless Computing Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 22 Global Serverless Computing Market Outlook, By Mobile Backend (2022-2030) ($MN)
  • Table 23 Global Serverless Computing Market Outlook, By Media Processing (2022-2030) ($MN)
  • Table 24 Global Serverless Computing Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 25 Global Serverless Computing Market Outlook, By End User (2022-2030) ($MN)
  • Table 26 Global Serverless Computing Market Outlook, By IT and Telecom (2022-2030) ($MN)
  • Table 27 Global Serverless Computing Market Outlook, By Retail and E-commerce (2022-2030) ($MN)
  • Table 28 Global Serverless Computing Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
  • Table 29 Global Serverless Computing Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 30 Global Serverless Computing Market Outlook, By Media and Entertainment (2022-2030) ($MN)
  • Table 31 Global Serverless Computing Market Outlook, By Education (2022-2030) ($MN)
  • Table 32 Global Serverless Computing Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.