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市場調查報告書
商品編碼
1548848
無伺服器架構市場規模、佔有率、成長分析:按部署模型、最終用戶、元件、組織規模、地區 - 產業預測,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,全球無伺服器架構市場規模為80.1億美元,從2023年的98.4億美元成長到2031年的508.6億美元,預測期間(2024-2031年)預計複合年成長率為22.8%。
全球無伺服器架構市場由於其顯著優勢(例如提高營運敏捷性和成本效率)正在迅速擴張。無伺服器架構因其快速設定、簡化管理、減輕系統管理員負擔等優點而特別吸引開發人員。雲端基礎的技術的興起以及管理伺服器的第三方服務的可用性也推動了這一成長。透過遷移到無伺服器架構,公司可以避免取得、安裝、配置和維護硬體的傳統集中流程。這一轉變顯著降低了設定和持續維護成本。計算技術的進步進一步推動無伺服器環境的採用並促進市場擴張。人工智慧、機器學習和物聯網 (IoT) 的影響力日益增強,企業快速開發和部署新產品和功能以滿足消費者需求的壓力也越來越大。無伺服器架構使公司能夠專注於其核心產品,而不是管理IT基礎設施,從而減少部署時間。例如,使用傳統的雲端基礎架構即服務為行動銀行應用程式開發信用評分檢查功能可能需要數天或數週的時間,但使用 AWS Lambda 等無伺服器平台可以完成相同的事情。這種轉變對於提高 IT 業務的敏捷性、彈性和成本效益至關重要。
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.