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市场调查报告书
商品编码
1548848
无伺服器架构市场规模、份额、成长分析:按部署模型、最终用户、元件、组织规模、地区 - 产业预测,2024-2031 年Serverless Architecture Market Size, Share, Growth Analysis, By Deployment Model, By End-user, By Component, By Organization size, By Region - Industry Forecast 2024-2031 |
2022年,全球无伺服器架构市场规模为80.1亿美元,从2023年的98.4亿美元成长到2031年的508.6亿美元,预测期间(2024-2031年)预计复合年增长率为22.8%。
全球无伺服器架构市场由于其显着优势(例如提高营运敏捷性和成本效率)正在迅速扩张。无伺服器架构因其快速设定、简化管理、减轻系统管理员负担等优点而特别吸引开发人员。云端基础的技术的兴起以及管理伺服器的第三方服务的可用性也推动了这一成长。透过迁移到无伺服器架构,公司可以避免取得、安装、配置和维护硬体的传统集中流程。这一转变显着降低了设定和持续维护成本。计算技术的进步进一步推动无伺服器环境的采用并促进市场扩张。人工智慧、机器学习和物联网 (IoT) 的影响力日益增强,企业快速开发和部署新产品和功能以满足消费者需求的压力也越来越大。无伺服器架构使公司能够专注于其核心产品,而不是管理IT基础设施,从而减少部署时间。例如,使用传统的云端基础架构即服务为行动银行应用程式开发信用评分检查功能可能需要数天或数週的时间,但使用 AWS Lambda 等无伺服器平台可以完成相同的事情。这种转变对于提高 IT 业务的敏捷性、弹性和成本效益至关重要。
Global Serverless Architecture Market size was valued at USD 8.01 billion in 2022 and is poised to grow from USD 9.84 billion in 2023 to USD 50.86 billion by 2031, growing at a CAGR of 22.8% in the forecast period (2024-2031).
The global serverless architecture market is expanding rapidly, driven by its notable benefits, such as increased operational agility and cost efficiency. Developers are particularly drawn to serverless architecture for its advantages, which include quicker setup, simplified management, and the elimination of system administration responsibilities. The rise of cloud-based technologies and the availability of third-party services to handle server management are also fueling this growth. By shifting to serverless architecture, organizations can bypass the traditional, labor-intensive processes of acquiring, installing, configuring, and maintaining hardware. This shift significantly reduces both setup and ongoing maintenance costs. Advancements in computing technology further support the adoption of serverless environments, contributing to market expansion. The growing influence of artificial intelligence, machine learning, and the Internet of Things (IoT) places increasing pressure on companies to rapidly develop and deploy new products and features to meet consumer demands. Serverless architecture allows businesses to focus on their core offerings rather than managing IT infrastructure, thus reducing deployment times. For instance, while developing a credit score checking feature for a mobile banking app using traditional cloud Infrastructure-as-a-Service could take days or weeks, serverless platforms like AWS Lambda can facilitate the same development in just a few hours. This shift has become crucial in enhancing business agility, resilience, and cost-effectiveness in the IT sector.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Serverless Architecture market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Serverless Architecture Market Segmental Analysis
The Global Serverless Architecture Market is segmented by deployment, end-user, service type and region. Based on deployment, the market can be segmented into public cloud, private cloud, and hybrid cloud. Based on vertical, the market is segmented into BFSI, IT and Telecommunications, Retail and Ecommerce, Healthcare and Lifesciences, Government and Public Sector, Manufacturing and others. Based on service type, the market is segmented into Automation and Integration, API Management, Design and Consulting, Service Types, Monitoring, Security, Analytics, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Serverless Architecture Market
A key factor driving the expansion of the serverless architecture market is the growing need for greater operational agility and cost savings. Businesses across different sectors are increasingly recognizing the advantages of serverless architecture, including quicker setup, simplified management, and lower maintenance expenses. By outsourcing server and infrastructure management to third-party providers, organizations can concentrate on their core products and services, enhancing overall efficiency and productivity. This shift is significantly boosting the adoption of serverless architecture and contributing to its market growth.
Restraints in the Global Serverless Architecture Market
Despite its rising popularity, the serverless architecture market faces several significant challenges. One major issue is the risk of vendor lock-in, where organizations heavily dependent on a single cloud service provider may encounter difficulties in migrating their serverless applications to other platforms due to compatibility constraints. Additionally, concerns regarding data security and privacy emerge when sensitive information is entrusted to third-party vendors. The complexity of managing and monitoring serverless applications across various providers also presents challenges for businesses. Addressing these concerns is crucial for the continued growth and sustainability of the serverless architecture market.
Market Trends of the Global Serverless Architecture Market
A notable trend in the serverless architecture market is the growing integration of artificial intelligence (AI) and machine learning (ML) capabilities. Organizations are increasingly using serverless platforms to develop and deploy AI/ML models with greater efficiency, fostering intelligent decision-making and automation. The synergy between serverless computing and AI/ML technologies enhances scalability, enables real-time data processing, and optimizes costs. As businesses strive to harness the power of AI/ML across diverse applications, this trend is poised to drive the adoption of serverless architecture and transform the development and deployment of intelligent applications.