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市場調查報告書
商品編碼
1876755
無伺服器運算市場預測至 2032 年:按服務類型、部署模式、企業規模、最終用戶和地區分類的全球分析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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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球無伺服器運算市場規模將達到 254.6 億美元,到 2032 年將達到 732.9 億美元,預測期內複合年成長率為 16.3%。
無伺服器運算是雲端基礎的模型,它允許開發人員無需管理伺服器即可運行應用程式,從而簡化開發流程並最大限度地降低運維成本。在這種配置下,團隊可以專注於說明核心應用程式功能,而雲端服務供應商則會自動管理資源配置、擴充和維護等任務。無伺服器系統基於事件驅動的觸發機制運行,用戶只需為功能執行期間收費,從而提高效率並降低成本。這種架構增強了適應性,親和性微服務,並透過消除基礎設施管理職責來加速產品交付。隨著企業不斷追求高可擴展性和高效率,無伺服器運算正成為建立現代化動態應用程式的首選方案。
根據CNCF年度調查(2022年),53%的組織表示在生產環境中使用無伺服器技術,顯示各產業對無伺服器技術的採用率很高。 CNCF強調,無伺服器技術已與Kubernetes和容器一起,成為雲端原生生態系統的主流組成部分。
對自動化可擴展性的需求日益成長
隨著越來越多的企業尋求能夠即時適應不斷變化的工作負載水平的系統,對自動擴展的日益重視正在推動無伺服器運算市場的發展。無伺服器平台能夠根據流量波動提供無縫的自動擴展,無需手動監控和預測基礎架構需求。這種能力使企業能夠在應對需求高峰的同時,保持應用程式效能的穩定性。隨著數位化互動的快速成長,企業更傾向於選擇能夠提供不間斷使用者體驗且不受容量限制的技術。透過簡化擴展操作,無伺服器運算提高了靈活性,增強了系統可靠性,並降低了延遲風險,使其成為眾多行業應用的理想選擇。
調試和監控能力有限
調試和監控支援不足限制了無伺服器運算的廣泛應用。其分散式、事件驅動的結構使得問題診斷更加複雜。開發人員往往難以了解後台函數的執行情況,這限制了他們識別錯誤、衡量效能和理解系統互動的能力。隨著工作流程被拆分成許多獨立的函數,傳統的調試技術也失去了效用。日誌、指標和追蹤資訊也可能顯得零散或不完整,從而帶來維運方面的挑戰。這些限制會拖慢開發週期,增加故障排除難度,並提高維修工作量。隨著企業尋求更高的可觀測性和可靠性,這些監控方面的不足阻礙了無伺服器技術在大型複雜系統中的應用。
微服務與現代DevOps的興起
向微服務和現代DevOps工作流程的轉變日益顯著,為無伺服器運算帶來了巨大的機會。企業正從大型、緊密耦合的系統轉向模組化架構,因此需要可獨立部署的彈性元件。無伺服器解決方案透過支援事件驅動功能、自動擴展以及與CI/CD管道的無縫整合,為這種架構提供了有力支援。隨著DevOps團隊致力於加快交付週期並減少維運挑戰,無伺服器運算能夠提高開發效率並加速創新。這種協同作用使企業能夠更有效地採用雲端原生策略,同時簡化系統管理。隨著各產業現代化進程的加速,無伺服器運算正成為加速敏捷開發和建構可擴展軟體生態系統的關鍵推動因素。
管理多重雲端環境的複雜性
多重雲端策略的日益普及對無伺服器運算構成了重大威脅,因為跨多個雲端供應商管理功能變得極其複雜。每個雲端平台都提供不同的 API、執行時間和觸發機制,這使得保持一致的行為和高效的可移植性變得困難。缺乏統一標準加劇了開發挑戰和維運負擔。尋求降低對單一供應商依賴的組織常常面臨協調和最佳化多重雲端無伺服器架構的難題。隨著多重雲端環境的擴展,實現平滑整合和互通性的難度限制了無伺服器技術的更廣泛應用。這種複雜性阻礙了企業在不同雲端生態系中的廣泛採用。
新冠疫情透過加速數位轉型和遠距辦公的普及,重塑了無伺服器運算市場。面對需求波動和線上活動激增,企業加快了向無伺服器平台遷移的步伐,以實現自動擴展、快速部署並降低基礎設施開銷。虛擬服務、線上零售和雲端基礎通訊工具的普及進一步增強了對事件驅動架構的依賴。儘管金融市場的不確定性推遲了部分行業的科技投資,但對靈活性和成本效益的整體需求推動了無伺服器架構的普及。疫情凸顯了彈性且可快速部署的雲端模型的重要性,使無伺服器運算成為支援業務永續營運和可擴展數位生態系統的關鍵基礎。
預計在預測期內,功能即服務 (FaaS) 細分市場將佔據最大的市場佔有率。
在預測期內,函數即服務 (FaaS) 預計將佔據最大的市場佔有率。這是因為 FaaS 使開發人員能夠執行模組化函數,而無需管理伺服器的配置和維護。這種方法透過基於事件觸發程式碼執行來提高生產力,降低複雜性,並有助於快速配置。 FaaS 支援應用程式的自動高效擴展,使其成為各種垂直行業動態、事件驅動型工作負載的理想選擇。其適應性和與雲端原生生態系統的緊密整合有助於加速開發過程並最佳化資源利用率。隨著企業尋求營運效率、更快的發布速度和最小化的基礎設施管理,FaaS 仍然是無伺服器運算領域應用最廣泛、最具影響力的元件。
預計混合雲端領域在預測期內將實現最高的複合年成長率。
預計在預測期內,混合雲端領域將保持最高的成長率,因為它使企業能夠將私有基礎設施與公共雲端服務整合,從而最佳化工作負載部署並提高營運靈活性。這種方法允許企業在內部安全地處理關鍵數據,同時利用公有環境中無伺服器功能的可擴展性和自動化優勢。混合雲端解決方案有助於企業滿足監管要求,最大限度地減少對單一供應商的依賴,並實現更順暢的現代化轉型。隨著企業不斷擴展其數位化舉措,混合配置對於在各種環境中運行無伺服器應用程式至關重要。增強的控制力、彈性和可擴展性的結合正在推動該領域的快速成長。
預計北美將在預測期內佔據最大的市場佔有率。這項優勢歸功於其成熟的雲端基礎架構、企業雲端採用率高以及AWS、微軟Azure和Google雲端等主要雲端服務供應商的主導地位。高度成熟的IT體系、豐富的開發人才以及以微服務和DevOps為核心的創新文化也為該地區的優勢提供了支撐。該地區的企業高度重視自動化和可擴展的事件驅動型工作負載,從而加速了無伺服器模型的採用。此外,有利的法規結構和對雲端原生技術的大量投資也進一步鞏固了北美在無伺服器運算領域的領先地位。
預計亞太地區在預測期內將實現最高的複合年成長率,這主要得益於印度、中國和東南亞等主要經濟體的快速數位化進程。Start-Ups、政府主導的技術舉措以及對下一代基礎設施的投資推動了雲端運算的蓬勃發展。電子商務、金融服務和製造業等行業正日益採用事件驅動、可擴展的無伺服器模型。隨著區域企業實現營運現代化,雲端服務供應商不斷拓展業務,亞太地區在無伺服器技術的應用方面預計將超越成熟市場,實現高於歐洲、北美和世界其他地區的成長率。
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.