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全球无伺服器运算市场 - 2024-2031

Global Serverless Computing Market - 2024-2031

出版日期: 2024年02月09日 | 出版商:

DataM Intelligence | 英文 226 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

全球无伺服器运算市场将于 2023 年达到 93 亿美元，预计到 2031 年将达到 409 亿美元，2024-2031 年预测期间CAGR为 20.6%。

无伺服器运算包括功能即服务，这是一种向使用者隐藏硬体基础架构的云端服务。因此，使用者无需担心底层基础设施的配置、管理和维护。无伺服器运算简化了开发和部署流程。开发人员可以专注于编码，而无需处理基础设施，从而减少了在市场上推出应用程式所需的时间。

主要参与者在无伺服器运算上的支出不断增长有助于推动预测期内区域市场的成长。例如，2023 年 10 月 10 日，Omdia 的 CNC Tracker 对云端原生运算 (CNC) 市场进行了创新分析，显示无伺服器运算是 CNC 市场的主导力量。此外，预测表明无伺服器将保持其主导地位，预计未来五年市场份额将增加。

由于技术采用较早，北美是市场的主导地区。该地区的主要参与者在市场上推出了新产品，有助于推动预测期内该地区市场的成长。例如，2023 年 11 月 27 日，Datadog Inc. 扩展了对 AWS 无伺服器工作负载的可观察性和安全性支援。 AWS推出的功能旨在协助AWS Lambda和Step Functions的使用者识别安全威胁，全面了解其状态机在特定时刻的效能，并监控配备OpenTelemetry的服务。

动力学

全球无伺服器运算的经济高效的扩展能力

无伺服器运算允许精细的资源分配，使组织能够根据特定功能的需求精确地扩展资源。组织仅根据功能处理期间消耗的实际执行时间和资源进行计费。此模型将成本与使用情况直接挂钩，为不同的工作负载提供经济高效的解决方案。在传统的云端运算模型中，费用主要受伺服器配置的影响，要求企业为伺服器容量付费，而不管利用率如何。这通常会导致过度配置以满足高峰需求，从而导致活动较少期间的成本上升。

无伺服器运算的按使用付费模式提供了更具成本效益的解决方案，特别适合流量可变的应用程式。此方法消除了预测流量模式的必要性，并实现了自动扩展，确保成本直接对应于实际使用情况。透过采用 AWS Lambda 和 Amazon S3 等无伺服器架构，该平台有效管理了用户流量和影片上传的激增。

云端运算的快速成长

云端基础设施的日益普及为无伺服器运算创造了有利的环境。越来越多的公司将其应用程式迁移到云端，这为实施无伺服器云端提供了理想的环境。无伺服器运算服务已由 Microsoft Azure、Google Cloud Platform、Amazon Web Services 等主要云端服务供应商建立和改进。因此，无伺服器运算被广泛使用并整合到更大的云端生态系统中。

由于人们对无伺服器运算优势的认识不断增强，云端运算越来越受欢迎。云端服务供应商不断推出的教育计画帮助主要参与者在可扩展性、成本和简化开发方面利用无伺服器运算。云端生态系统的动态特性以及持续的更新和服务促进了无伺服器运算的发展。经过微调的方法可确保最佳的资源利用率，从而降低与过度配置相关的成本。

无伺服器计算的安全问题

在无伺服器环境中处理和储存敏感资料时，会出现隐私和资料安全问题。主要关键参与者必须确认无伺服器服务具有强大的安全措施，以防止骇客和未经授权的资料存取。在无伺服器系统中，适当的权限和身份验证协定至关重要。未经授权的功能存取可能是由于存取限制不足或配置错误造成的，这可能会暴露私人资料或引发有害活动。

无伺服器应用程式通常依赖各种互连的服务和 API。网路安全措施不足可能会暴露攻击者可利用的漏洞。服务之间的安全通讯对于防止资料拦截或操纵变得至关重要。无伺服器函数经常使用第三方函式库或外部相依性。如果这些依赖项涉及漏洞，攻击者可能会利用它们来危及无伺服器应用程式的安全。

Serverless computing includes function-as-a-service is a cloud service that conceals the hardware infrastructure from users. As a result, users are relieved from the need to worry about provisioning, administration and maintenance of the underlying infrastructure. Serverless computing streamlines both the development and deployment processes. Developers can concentrate on coding without the necessity of handling infrastructure, thereby diminishing the time required to launch applications in the market.

Growing major key players' spending on serverless computing helps to boost regional market growth over the forecast period. For instance, on October 10, 2023, Omdia's CNC Tracker, an innovative analysis of the cloud-native computing (CNC) market, revealed that serverless computing is the prevailing force in the CNC market. Furthermore, the forecast indicates that serverless is poised to maintain its dominance, with an anticipated increase in market share over the next five years.

North America is a dominating region in the market due to the early adoption of the technologies. Major key players in the region launched new products in the market that helped to boost regional market growth over the forecast period. For instance, on November 27, 2023, Datadog Inc. expanded Observability and Security Support for AWS Serverless Workloads. The features introduced by AWS aim to assist users of AWS Lambda and Step Functions in identifying security threats, obtaining a comprehensive overview of their state machine's performance at a specific moment and monitoring services equipped with OpenTelemetry.

Dynamics

Cost-Effective Scaling Capabilities of Global Serverless Computing

Serverless Computing allows for granular resource allocation, enabling organizations to scale resources precisely based on the demand for specific functions. Organizations are billed only for the actual execution time and resources consumed during the processing of functions. The model aligns costs directly with usage, providing a cost-effective solution for varying workloads.In the conventional cloud computing model, expenses are primarily influenced by server provisioning, requiring businesses to pay for server capacity irrespective of utilization. The frequently leads to over-provisioning to accommodate peak demand, resulting in elevated costs during periods of lower activity.

The pay-per-use model of serverless computing presents a more cost-efficient solution, particularly well-suited for applications experiencing variable traffic. The approach removes the necessity for predicting traffic patterns and enables automatic scaling, ensuring costs directly correspond to real usage. By employing a serverless architecture, such as AWS Lambda and Amazon S3, the platform efficiently managed surges in user traffic and video uploads.

Rapid Growth in the Cloud Computing

The growing adoption of cloud infrastructure has created a conducive environment for serverless computing. Increasingly, companies are moving their apps to the cloud, which provides an ideal environment for serverless cloud to be implemented. Serverless computing services have been created and improved by major cloud service providers including Microsoft Azure, Google Cloud Platform, Amazon Web Services and others. Due to this, serverless computing is widely available and integrated into the larger cloud ecosystem.

Cloud computing has gained popularity due to an increased awareness of the benefits of serverless computing. Growing educational initiatives by cloud service providers have helped major key players to take advantage of serverless computing in terms of scalability, costs, and streamlined development. The dynamic nature of the cloud ecosystem, with continuous updates and services, has facilitated the growth of serverless computing. The fine-tuned approach ensures optimal resource utilization, reducing the costs associated with over-provisioning.

Security Concerns about Serverless Computing

When processing and storing sensitive data in a serverless environment, privacy and data security issues arise. Major key players must confirm that serverless services have robust security measures in place to prevent hackers and unauthorized access to data. In serverless systems, appropriate permission and authentication protocols are essential. Unauthorized access to functions may result from inadequate access restrictions or misconfigurations, which may expose private data or give rise to harmful activity.

Serverless applications often rely on various interconnected services and APIs. Inadequate network security measures may expose vulnerabilities that attackers could exploit. Secure communication between services becomes crucial to prevent data interception or manipulation. Third-party libraries or external dependencies are frequently used by serverless functions. If these dependencies involve vulnerabilities, attackers may be able to leverage them to risk the serverless application's security.

Segment Analysis

The global serverless computing market is segmented based on services, deployment, enterprise size, application, end-user and region.

Growing Demand for Monitoring Services Globally

Based on the services, the serverless computing market is segmented into monitoring services, API management services, integration services, security, support and maintenance and others. Serverless computing often involves distributed architectures where functions are executed in response to events. To see these dispersed components' interactions, performance and overall health, monitoring services become essential.

Robust monitoring solutions are becoming more and more necessary as serverless applications grow in functionality. Monitoring services give businesses information about how well serverless operations are doing, enabling them to identify obstacles, maximize resource use and boost productivity all around. The need for monitoring services is increasing as companies work to create high-performing applications and ensure outstanding performance.

The growing consumer demand for Monitoring Services serverless computing helps to boost segment growth over the forecast period. For instance, on February 09, 2022, Software intelligence company Dynatrace announced that it has extended the Dynatrace platform's broad and deep observability and advanced AIOps capabilities to all major serverless architectures. It helps to increase monitoring services segment growth.

Geographical Penetration

North America is Dominating the Serverless Computing Market

North America accounted for the largest market share in the global serverless computing market due to the early adoption and innovation of new technologies that play an important role in the serverless computing ecosystem. Several leading cloud services providers, such as Amazon Web Services, Microsoft Azure and Google Cloud Platform are based in North America and help to boost market growth by offering services and solutions of serverless computing. The enterprises provide serverless computing services as components of their cloud solutions, adding to the overall market share of the region.

Some of the major key players in the region follow merger and acquisition strategies which help to boost regional market growth over the forecast period. For instance, on August 29, 2023, Google Cloud Next and NVIDIA announced the AI infrastructure and software for customers to build and deploy massive models for generative AI and speed data science workloads. Moreover, the firms disclosed Google's incorporation of serverless Spark with NVIDIA GPUs via Google's Dataproc service. The integration is designed to accelerate Apache Spark workloads, aiding data scientists in expediting the preparation of data for AI development.

Competitive Landscape

The major global players in the market include Google LLC, Alibaba Cloud, CA Technologies, Microsoft Corporation oracle Corporation, Dynatrace, Fiorano Software Inc., Joyent Inc., Modubiz Ltd. and NTT Data Corporation.

COVID-19 Impact Analysis

The COVID-19 epidemic helps to boost demand of the cloud computing, as enterprises seek adaptable and expandable solutions to facilitate their distant workforce. A cloud-based service called serverless computing probably saw an increase in demand during the epidemic. Numerous organizations hastened their digital transformation efforts to adjust to the changing circumstances. Serverless computing, recognized for its agility and scalability, might have been instrumental in these initiatives as businesses sought effective methods to deploy and oversee applications.

Businesses prioritized optimizing expenses due to the economic uncertainty brought up by the epidemic. With its pay-as-you-go pricing framework, serverless computing allowed businesses to modify resource scaling in response to demand, which may have resulted in cost savings over traditional infrastructure. Even though the demand for cloud services increased overall, several businesses had difficulties because they reduced IT spending, which hindered the adoption of serverless solutions. The industries include travel, hospitality and retail.

Russia-Ukraine War Impact Analysis

Geopolitical tensions between the countries lead to disruptions in the supply chain, affecting the production and availability of hardware components or cloud infrastructure. The impacts the deployment and operation of serverless computing services. Uncertainty created by geopolitical events leads to cautious spending by businesses. Organizations delay or reconsider their technology investments, including the adoption of serverless computing solutions.

Geopolitical tensions raise concerns about data privacy and security. Organizations reevaluate their choice of cloud service providers and serverless platforms to ensure the security and integrity of their data. The specific regions involved in geopolitical conflicts experience economic challenges, which could, in turn, affect the adoption of technology solutions, including serverless computing.

By Services

Monitoring Services
API Management Services
Integration Services
Security
Support and maintenance
Others

By Deployment

Private Cloud
Public Cloud

By Enterprise Size

Large Enterprises
Small and Medium Enterprises

By Application

Web and Mobile Applications
IoT (Internet of Things)

By End-User

BFSI
IT and Telecom
Retail
Healthcare
Manufacturing
Media and Entertainment
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On May 25, 2022, DigitalOcean, a US cloud infrastructure provider launched Nimbella-based serverless computing. DigitalOcean's Functions product streamlines the underlying infrastructure tasks, enabling developers to swiftly write and deploy code without the necessity of delving into Kubernetes and container intricacies.
On May 24, 2021, Imperva, Inc. launched a New Product to Secure Serverless Functions with Visibility into the Application Layer & Code-Level Vulnerabilities. Imperva Serverless Protection offers an additional layer of security for AWS Lambda environments.
On November 09, 2022, Alibaba Cloud introduced the ModelScope platform and new solutions to minimize the barrier to commercializing company innovation. At its premier conference, the largest cloud services provider globally also introduced a fresh series of serverless database solutions and bolstered its integrated platform for data analytics and cognitive computing. The enhancements aim to help clients achieve heightened business innovation through the utilization of cloud technologies.

Why Purchase the Report?

To visualize the global serverless computing market segmentation based on services, deployment, enterprise size, application, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of serverless computing market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global serverless computing market report would provide approximately 78 tables, 77 figures and 226 Pages.

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Services
3.2. Snippet by Deployment
3.3. Snippet by Enterprise Size
3.4. Snippet by Application
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Cost-Effective Scaling Capabilities of Global Serverless Computing
  - 4.1.1.2. Rapid Growth in the Cloud Computing
- 4.1.2. Restraints
  - 4.1.2.1. Security Concerns about Serverless Computing
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Services

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 7.1.2. Market Attractiveness Index, By Services
7.2. Monitoring Services*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. API Management Services
7.4. Integration Services
7.5. Security
7.6. Support and Maintenance
7.7. Others

8. By Deployment

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 8.1.2. Market Attractiveness Index, By Deployment
8.2. Private Cloud*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Public Cloud

9. By Enterprise Size

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 9.1.2. Market Attractiveness Index, By Enterprise Size
9.2. Large Enterprises*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Small and Medium Enterprises

10. By Application

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.1.2. Market Attractiveness Index, By Application
10.2. Web and Mobile Applications*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. IoT (Internet of Things)

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. BFSI *
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. IT and Telecom
11.4. Retail
11.5. Healthcare
11.6. Manufacturing
11.7. Media and Entertainment
11.8. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Spain
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Google LLC*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Alibaba Cloud
14.3. CA Technologies
14.4. Microsoft Corporation
14.5. Oracle Corporation
14.6. Dynatrace
14.7. Fiorano Software Inc.
14.8. Joyent Inc.
14.9. Modubiz Ltd.
14.10. NTT Data Corporation

LIST NOT EXHAUSTIVE

15. Appendix

15.1. About Us and Services
15.2. Contact Us

02-2729-4219

+886-2-2729-4219

License/价格

全球无伺服器运算市场 - 2024-2031

Global Serverless Computing Market - 2024-2031

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动力学

第 5 章：产业分析

第 6 章：COVID-19 分析

第 7 章：依服务分类

第 8 章：透过部署

第 9 章：按企业规模

第 10 章：按应用

第 11 章：最终用户

第 12 章：按地区

第13章：竞争格局

第 14 章：公司简介

第 15 章：附录