查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1587626

到 2030 年無伺服器運算市場預測：按服務類型、使用類型、部署模型、公司規模、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球無伺服器運算市場規模將達到 147 億美元，預計到 2030 年將達到 485 億美元，預測期內複合年成長率為 22.0%。

無伺服器運算是雲端處理執行模型，允許開發人員建置和運行應用程式而無需管理伺服器基礎架構。在此模型中，雲端提供者動態分配資源，並根據需要自動擴展和管理功能的執行。開發人員只專注於編寫程式碼，而提供者負責處理配置、擴充和維護等任務。這種方法具有成本效益，因為使用者只需為執行期間消耗的運算資源付費，並且非常適合具有不同工作負載的應用程式。

根據猶他州智慧 IT 自動化軟體供應商 SaltStack 最近的一項研究，40% 的組織將超過 10% 的應用程式容器化，儘管三分之二的組織擔心容器策略需要在安全性方面進行足夠的投資。

數位轉型舉措

市場上的數位轉型工作使組織能夠建立和部署應用程式，而無需複雜的基礎設施管理，從而推動創新。這種轉變使公司能夠無縫擴展業務、降低成本並加快上市時間。透過利用無伺服器架構，企業可以專注於核心功能並提高敏捷性，從而改善客戶體驗並提高業務效率。

失去對基礎設施的控制

失去對市場基礎設施​​的控制可能會給組織帶來重大挑戰。由於第三方提供者管理關鍵元件，因此監控能力的降低可能會導致安全漏洞。此外，依賴外部服務可能會使監管標準的合規性變得複雜，並妨礙故障排除。此外，供應商政策的意外變更或效能問題可能會擾亂業務並降低可靠性。

與新興技術整合

與市場中的新技術整合可以增強能力並促進創新。透過將無伺服器架構與人工智慧、機器學習和物聯網結合，企業可以創建更快、更聰明的應用程式。這種協同效應可以實現即時資料處理和自動擴展，以最佳化效能和資源利用率。此外，無伺服器運算可以與區塊鏈技術整合，以提高安全性和透明度。

資料安全問題

市場中的資料安全問題為組織帶來了重大風險。共用責任模型可能會導致誰負責保護敏感資料的混亂，從而增加了違規的可能性。此外，如果第三方供應商存在安全問題，那麼依賴第三方供應商可能會使企業面臨漏洞。此外，無伺服器環境的動態特性使監控和合規工作變得複雜，難以確保資料完整性並防止未授權存取。

COVID-19 的影響：

隨著組織尋求靈活且可擴展的解決方案來支援遠端工作和數位服務，COVID-19 大流行加速了無伺服器運算的採用。隨著線上應用程式和服務需求的增加，企業已轉向無伺服器架構以提高敏捷性並降低營運成本。這種轉變實現了新功能的快速部署，並提高了不確定時期的復原能力。因此，無伺服器運算已成為疫情後數位轉型舉措的關鍵推動者。

事件驅動計算領域預計將在預測期內成為最大的領域

事件驅動運算領域使應用程式能夠動態響應即時事件，預計將在預測期內佔據最大的市場佔有率。該模型允許開發人員根據特定事件（例如使用者互動或系統變更）觸發功能，從而實現高效的資源利用並節省成本。這種方法還促進創新，使團隊能夠快速迭代和部署新功能，而無需增加基礎設施管理。

預計移動後端領域在預測期內將出現最高的複合年成長率。

預計移動後端領域在預測期內將出現最高的複合年成長率。透過利用無伺服器架構，開發人員可以專注於建置功能，同時隨著用戶負載的變化自動擴展。這種方法提高了開發速度並降低了成本，從而可以快速部署行動應用程式。此外，與第三方服務的無縫整合簡化了資料管理並改善了行動應用程式的使用者體驗。

佔比最大的地區：

預計北美地區在預測期內將佔據最大的市場佔有率。主要企業正在採用無伺服器架構來提高應用開發和部署的效率，從而提高敏捷性和創新性。該地區非常關注數位轉型，推動無伺服器技術的採用以及雲端基礎設施的進步。隨著公司尋求最佳化其營運，北美仍然是全球無伺服器領域的關鍵參與者。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高成長率。雲端運算的日益普及使得無伺服器架構對於希望提高業務效率且無需管理實體伺服器負擔的企業來說成為有吸引力的選擇。中國、印度和日本等國家數位技術的快速發展正在促使企業採用雲端基礎的解決方案，包括無伺服器架構。

免費客製化服務：

訂閱此報告的客戶將收到以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要參與者的 SWOT 分析（最多 3 家公司）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭標基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球無伺服器運算市場：依服務類型

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

第6章全球無伺服器運算市場：依使用類型

  • 事件驅動計算
  • 微服務架構
  • 網路應用程式

第7章全球無伺服器運算市場：依部署模型

  • 公共雲端
  • 私有雲端
  • 混合雲端

第8章全球無伺服器運算市場：依公司規模

  • 小型企業
  • 主要企業

第9章全球無伺服器運算市場：依應用分類

  • 網路和行動應用程式
  • IoT
  • 巨量資料
  • 機器學習
  • 行動後端
  • 媒體處理
  • 其他用途

第 10 章 全球無伺服器運算市場：依最終使用者分類

  • 資訊科技和通訊
  • 零售與電子商務
  • 銀行、金融服務和保險 (BFSI)
  • 衛生保健
  • 媒體和娛樂
  • 教育
  • 其他最終用戶

第11章全球無伺服器運算市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章 公司概況

  • 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.