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市场调查报告书
商品编码
1876755
无伺服器运算市场预测至 2032 年:按服务类型、部署模式、企业规模、最终用户和地区分類的全球分析Serverless Computing Market Forecasts to 2032 - Global Analysis By Service Type (Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS)), Deployment Model, Enterprise Size, End User and By Geography |
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根据 Stratistics MRC 的一项研究,预计到 2025 年,全球无伺服器运算市场规模将达到 254.6 亿美元,到 2032 年将达到 732.9 亿美元,预测期内复合年增长率为 16.3%。
无伺服器运算是云端基础的模型,它允许开发人员无需管理伺服器即可运行应用程序,从而简化开发流程并最大限度地降低运维成本。在这种配置下,团队可以专注于说明核心应用程式功能,而云端服务供应商则会自动管理资源配置、扩充和维护等任务。无伺服器系统基于事件驱动的触发机制运行,用户只需为功能执行期间收费,从而提高效率并降低成本。这种架构增强了适应性,亲和性微服务,并透过消除基础设施管理职责来加速产品交付。随着企业不断追求高可扩展性和高效率,无伺服器运算正成为建立现代化动态应用程式的首选方案。
根据CNCF年度调查(2022年),53%的组织表示在生产环境中使用无伺服器技术,显示各产业对无伺服器技术的采用率很高。 CNCF强调,无伺服器技术已与Kubernetes和容器一起,成为云端原生生态系统的主流组成部分。
对自动化可扩展性的需求日益增长
随着越来越多的企业寻求能够即时适应不断变化的工作负载水平的系统,对自动扩展的日益重视正在推动无伺服器运算市场的发展。无伺服器平台能够根据流量波动提供无缝的自动扩展,无需手动监控和预测基础架构需求。这种能力使企业能够在应对需求高峰的同时,保持应用程式效能的稳定性。随着数位化互动的快速成长,企业更倾向于选择能够提供不间断使用者体验且不受容量限制的技术。透过简化扩展操作,无伺服器运算提高了灵活性,增强了系统可靠性,并降低了延迟风险,使其成为众多行业应用的理想选择。
调试和监控能力有限
调试和监控支援不足限制了无伺服器运算的广泛应用。其分散式、事件驱动的结构使得问题诊断更加复杂。开发人员往往难以了解后台函数的执行情况,这限制了他们识别错误、衡量效能和理解系统互动的能力。随着工作流程被拆分成许多独立的函数,传统的调试技术也失去了效用。日誌、指标和追踪资讯也可能显得零散或不完整,从而带来维运方面的挑战。这些限制会拖慢开发週期,增加故障排除难度,并提高维修工作量。随着企业寻求更高的可观测性和可靠性,这些监控方面的不足阻碍了无伺服器技术在大型复杂系统中的应用。
微服务与现代DevOps的兴起
向微服务和现代DevOps工作流程的转变日益显着,为无伺服器运算带来了巨大的机会。企业正从大型、紧密耦合的系统转向模组化架构,因此需要可独立部署的弹性元件。无伺服器解决方案透过支援事件驱动功能、自动扩展以及与CI/CD管道的无缝集成,为这种架构提供了有力支援。随着DevOps团队致力于加快交付週期并减少维运挑战,无伺服器运算能够提高开发效率并加速创新。这种协同作用使企业能够更有效地采用云端原生策略,同时简化系统管理。随着各产业现代化进程的加速,无伺服器运算正成为加速敏捷开发和建构可扩展软体生态系统的关键推动因素。
管理多重云端环境的复杂性
多重云端策略的日益普及对无伺服器运算构成了重大威胁,因为跨多个云端供应商管理功能变得极其复杂。每个云端平台都提供不同的 API、执行时间和触发机制,这使得保持一致的行为和高效的可移植性变得困难。缺乏统一标准加剧了开发挑战和维运负担。寻求降低对单一供应商依赖的组织常常面临协调和优化多重云端无伺服器架构的难题。随着多重云端环境的扩展,实现平滑整合和互通性的难度限制了无伺服器技术的更广泛应用。这种复杂性阻碍了企业在不同云端生态系中的广泛采用。
新冠疫情透过加速数位转型和远距办公的普及,重塑了无伺服器运算市场。面对需求波动和线上活动激增,企业加快了向无伺服器平台迁移的步伐,以实现自动扩展、快速部署并降低基础设施开销。虚拟服务、线上零售和云端基础通讯工具的普及进一步增强了对事件驱动架构的依赖。儘管金融市场的不确定性推迟了部分行业的科技投资,但对灵活性和成本效益的整体需求推动了无伺服器架构的普及。疫情凸显了弹性且可快速部署的云端模型的重要性,使无伺服器运算成为支援业务永续营运和可扩展数位生态系统的关键基础。
预计在预测期内,功能即服务 (FaaS) 细分市场将占据最大的市场份额。
在预测期内,函数即服务 (FaaS) 预计将占据最大的市场份额。这是因为 FaaS 使开发人员能够执行模组化函数,而无需管理伺服器的配置和维护。这种方法透过基于事件触发程式码执行来提高生产力,降低复杂性,并有助于快速配置。 FaaS 支援应用程式的自动高效扩展,使其成为各种垂直行业动态、事件驱动型工作负载的理想选择。其适应性和与云端原生生态系统的紧密整合有助于加速开发过程并优化资源利用率。随着企业寻求营运效率、更快的发布速度和最小化的基础设施管理,FaaS 仍然是无伺服器运算领域应用最广泛、最具影响力的元件。
预计混合云端领域在预测期内将实现最高的复合年增长率。
预计在预测期内,混合云端领域将保持最高的成长率,因为它使企业能够将私有基础设施与公共云端服务集成,从而优化工作负载部署并提高营运灵活性。这种方法允许企业在内部安全地处理关键数据,同时利用公有环境中无伺服器功能的可扩展性和自动化优势。混合云端解决方案有助于企业满足监管要求,最大限度地减少对单一供应商的依赖,并实现更顺畅的现代化转型。随着企业不断扩展其数位化倡议,混合配置对于在各种环境中运行无伺服器应用程式至关重要。增强的控制力、弹性和可扩展性的结合正在推动该领域的快速成长。
预计北美将在预测期内占据最大的市场份额。这项优势归功于其成熟的云端基础架构、企业云端采用率高以及AWS、微软Azure和Google云端等主要云端服务供应商的主导地位。高度成熟的IT体系、丰富的开发人才以及以微服务和DevOps为核心的创新文化也为该地区的优势提供了支撑。该地区的企业高度重视自动化和可扩展的事件驱动型工作负载,从而加速了无伺服器模型的采用。此外,有利的法规结构和对云端原生技术的大量投资也进一步巩固了北美在无伺服器运算领域的领先地位。
预计亚太地区在预测期内将实现最高的复合年增长率,这主要得益于印度、中国和东南亚等主要经济体的快速数位化进程。Start-Ups、政府主导的技术倡议以及对下一代基础设施的投资推动了云端运算的蓬勃发展。电子商务、金融服务和製造业等行业正日益采用事件驱动、可扩展的无伺服器模型。随着区域企业实现营运现代化,云端服务供应商不断拓展业务,亚太地区在无伺服器技术的应用方面预计将超越成熟市场,实现高于欧洲、北美和世界其他地区的成长率。
According to Stratistics MRC, the Global Serverless Computing Market is accounted for $25.46 billion in 2025 and is expected to reach $73.29 billion by 2032 growing at a CAGR of 16.3% during the forecast period. Serverless computing is a cloud-based model where applications run without requiring developers to oversee server management, helping streamline development and minimize operational workload. In this setup, the cloud provider automatically manages tasks like provisioning, scaling, and upkeep, allowing teams to concentrate on writing core application functions. Serverless systems operate through event-driven triggers, improving efficiency and lowering expenses because users are charged only for function execution time. This architecture boosts adaptability, aligns well with microservices, and accelerates product delivery by eliminating infrastructure responsibilities. As businesses pursue higher scalability and efficiency, serverless computing is becoming a preferred choice for building modern, dynamic applications.
According to the CNCF Annual Survey (2022), 53% of organizations reported using serverless technologies in production, showing strong adoption across industries. CNCF highlights that serverless is now a mainstream part of the cloud-native ecosystem, alongside Kubernetes and containers.
Rising need for automatic scalability
The expanding emphasis on automatic scalability strongly fuels the serverless computing market, as companies increasingly seek systems capable of adjusting instantly to changing workload levels. Serverless platforms provide seamless, automated scaling that reacts to traffic variations, removing the need for manual oversight or forecasting infrastructure requirements. This capability allows organizations to manage sudden spikes in demand while preserving stable application performance. With digital interactions rising rapidly, businesses prefer technologies that deliver uninterrupted user experiences without capacity constraints. By simplifying scaling operations, serverless computing enhances flexibility, boosts system dependability, and lowers the risk of slowdowns, making it a compelling choice for diverse industry applications.
Limited debugging and monitoring capabilities
Insufficient debugging and monitoring support restricts wider serverless computing adoption, as its distributed, event-driven structure makes diagnosing issues more complex. Developers often face reduced visibility into how functions run behind the scenes, limiting their ability to pinpoint errors, measure performance, or understand system interactions. Traditional debugging approaches become less useful because workflows are broken into numerous independent functions. Logs, metrics, and traces may also appear fragmented or incomplete, creating operational challenges. These limitations slow down development cycles, complicate troubleshooting, and increase maintenance workload. As businesses seek enhanced observability and reliability, these gaps in monitoring discourage serverless use for large and intricate systems.
Rising adoption of microservices and modern DevOps
The growing movement toward microservices and advanced DevOps workflows offers a major opportunity for serverless computing. Organizations transitioning from large, tightly coupled systems to modular architectures need flexible components that can be deployed independently. Serverless solutions support this approach by enabling event-driven functions, automatic scaling, and seamless integration with CI/CD pipelines. As DevOps teams aim for quicker delivery cycles and reduced operational challenges, serverless computing improves development efficiency and speeds up innovation. This alignment helps businesses adopt cloud-native strategies more effectively while simplifying system management. With modernization efforts increasing across industries, serverless computing becomes a key accelerator for agile development and scalable software ecosystems.
Complexity in managing multi-cloud environments
The growing adoption of multi-cloud strategies poses a notable threat to serverless computing because managing functions across several providers becomes highly complex. Each cloud platform offers different APIs, runtimes, and triggering mechanisms, making it difficult to maintain consistent behavior and efficient portability. This lack of uniform standards increases development challenges and operational burdens. Organizations seeking to reduce dependency on a single vendor often discover that multi-cloud serverless architectures are difficult to coordinate and optimize. As multi-cloud environments expand, the difficulty of achieving smooth integration and interoperability limits the broader use of serverless technologies. This complexity discourages widespread enterprise adoption across diverse cloud ecosystems.
COVID-19 reshaped the serverless computing market by accelerating the move toward digital transformation and remote operations. As companies faced volatile demand and rising online activity, they increasingly turned to serverless platforms for automatic scaling, quick deployment, and reduced infrastructure overhead. The surge in virtual services, online retail, and cloud-based communication tools further boosted reliance on event-driven architectures. Although certain sectors postponed technology spending due to financial uncertainty, the overall need for flexibility and cost efficiency strengthened serverless adoption. The pandemic underscored the value of resilient, rapidly deployable cloud models, positioning serverless computing as a key enabler for business continuity and scalable digital ecosystems.
The function-as-a-service (FaaS) segment is expected to be the largest during the forecast period
The function-as-a-service (FaaS) segment is expected to account for the largest market share during the forecast period because it enables developers to run modular functions without handling server provisioning or maintenance. The approach enhances productivity by triggering code execution based on events, reducing complexity and supporting rapid deployment. FaaS allows applications to scale automatically and efficiently, making it ideal for dynamic, event-driven workloads across various sectors. Its adaptability and close integration with cloud-native ecosystems help accelerate development processes and optimize resource usage. As businesses look for streamlined operations, quicker releases, and minimal infrastructure responsibilities, FaaS remains the most widely adopted and influential component within serverless computing.
The hybrid cloud segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the hybrid cloud segment is predicted to witness the highest growth rate because it allows enterprises to integrate private infrastructure with public cloud services, ensuring optimal workload placement and improved operational flexibility. This approach enables secure processing of critical data internally while leveraging the scalability and automation of serverless functions in public environments. Hybrid cloud solutions help organizations meet regulatory demands, minimize dependence on a single provider, and achieve smoother modernization. As companies expand digital initiatives, hybrid setups become essential for running serverless applications across varied environments. The combination of enhanced control, resilience, and scalability drives the segment's accelerated expansion.
During the forecast period, the North America region is expected to hold the largest market share. Its leadership stems from a well-established cloud infrastructure, high enterprise cloud uptake, and the dominance of large cloud providers such as AWS, Microsoft Azure, and Google Cloud. Advanced IT maturity, a strong pool of developers, and a culture of innovation around microservices and DevOps also support this regional strength. Businesses in the area heavily prioritize automation and scalable, event-triggered workloads, accelerating the adoption of serverless models. Moreover, favorable regulatory frameworks and major investments in cloud-native technologies reinforce North America's top-tier status in the serverless computing space.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to fast-moving digitalization in major economies such as India, China, and Southeast Asian nations. Cloud adoption is surging, fueled by startups, government-led tech initiatives, and investments in next-gen infrastructure. Industries like ecommerce, financial services, and manufacturing are increasingly embracing event-driven and scalable serverless models. As regional businesses modernize operations and cloud providers grow their footprint, Asia-Pacific is poised to outpace more established markets in serverless adoption, driving its growth rate higher than in Europe, North America, or other geographies.
Key players in the market
Some of the key players in Serverless Computing Market include Amazon Web Services (AWS), Microsoft Corporation, Google LLC, IBM Corporation, Alibaba Cloud, Oracle Corporation, Red Hat, Inc., Cloudflare, Inc., Tencent Cloud, DigitalOcean, Fastly Inc., Vercel Inc., Netlify Inc., Twilio, Inc. and Iron.io.
In November 2025, Amazon Web Services (AWS) and OpenAI announced a multi-year, strategic partnership that provides AWS's world-class infrastructure to run and scale OpenAI's core artificial intelligence (AI) workloads starting immediately. Under this new $38 billion agreement, which will have continued growth over the next seven years, OpenAI is accessing AWS compute comprising hundreds of thousands of state-of-the-art NVIDIA GPUs, with the ability to expand to tens of millions of CPUs to rapidly scale agentic workloads.
In July 2025, Microsoft Corporation and Accenture are co-investing in the development of advanced generative AI-driven cyber solutions to help organizations mitigate threats and consolidate technology tools while optimizing operational costs. According to Accenture's State of Cyber Resilience 2025 report, the majority (90%) of organizations are not ready to protect against AI-augmented cyber threats.
In January 2025, Oracle Corp. and Google LLC's cloud unit announced an expanded partnership with broader regional coverage, additional services aimed at disaster recovery and a low-cost entry offering for customers that want to adopt Oracle's Exadata high-performance database platform.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.