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市場調查報告書
商品編碼
1866383
函數即服務 (FaaS) 市場 - 2025-2030 年預測Function as a Service (FaaS) Market - Forecasts from 2025 to 2030 |
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預計功能即服務 (FaaS) 市場將從 2025 年的 135.15 億美元快速成長到 2030 年的 468.19 億美元,複合年成長率為 28.21%。
函數即服務 (FaaS) 允許在不管理底層基礎設施的情況下,根據事件執行程式碼,這與更廣泛的無伺服器運算範式相契合。全球 FaaS 市場正經歷加速成長,這主要得益於企業對基礎設施敏捷性、成本效益和快速部署能力的追求。從傳統的 DevOps 模型轉向無伺服器架構的轉變,使得越來越多的組織利用 FaaS 的易管理性和可擴展性。然而,跨不同雲端環境的應用程式相容性挑戰仍然存在。新冠疫情進一步加速了 FaaS 的普及,因為遠距辦公的激增使得企業更加依賴雲端解決方案的靈活性和擴充性。
市場促進因素
向無伺服器運算的轉變
向無伺服器運算的轉型是關鍵促進因素,它使開發團隊能夠專注於核心應用邏輯,而將後端維運工作交給雲端服務供應商。這種模式提高了部署速度、維運效率和資源分配,減輕了傳統基礎設施管理的負擔。服務提供者不斷改進服務以克服各種限制,從而推動了無伺服器架構的普及。無伺服器架構能夠自動擴展,並實現無縫的事件觸發式程式碼執行,從而降低開銷並加快產品上市速度。這些都是推動各產業對函數即服務 (FaaS) 需求的關鍵優勢。
FaaS 的成本效益
FaaS 透過按需資源配置顯著降低成本,並消除閒置運算費用。用戶只需為實際使用量收費,不運作期間無需支付任何費用。這種計量收費模式,結合服務提供者管理的基礎設施,可大幅降低伺服器和維護相關的營運成本。預付模式等創新機制進一步最佳化了穩定工作負載期間的費用,使 FaaS 成為企業在追求最大敏捷性的同時最大限度降低資本支出方面極具經濟吸引力的選擇。
市場限制
在不同的雲端環境中執行舊有應用程式或專用應用程式時,會面臨相容性挑戰,這會限制無縫整合和採用。此外,對供應商生態系統的依賴可能導致供應商鎖定,使一些組織對全面採用雲端服務猶豫不決。
市場分類分析
按部署模式分類,公共雲端憑藉其可擴展性和可訪問性佔據主導地位,其次是混合雲和私有雲,後者主要面向受監管行業。擁有複雜工作負載的大型企業主導雲端的普及,而中小企業則擴大使用功能即服務 (FaaS) 來實現經濟高效的擴展。最終用戶涵蓋銀行、金融服務和保險 (BFSI)(用於安全交易)、IT 和通訊(用於網路功能)、零售(以支援電子商務的激增)以及醫療保健(用於資料處理)等行業。按地區分類,北美佔據最大佔有率,這得益於先進的雲端基礎設施以及 AWS、微軟和 IBM 等領先的雲端服務供應商。亞太地區預計將在數位轉型方面的大量投資推動下實現快速成長。
競爭格局
主要參與者包括亞馬遜網路服務(AWS)、Google公司和IBM公司,它們正透過功能增強、夥伴關係和生態系統擴展等策略來鞏固其市場地位。這些公司致力於擴展運行時支援、最佳化效能以及與各種雲端服務的整合,以滿足企業多樣化的需求。
區域展望
北美地區的優勢在於其技術成熟度高,且供應商總部位置在北美,因此北美地區能夠率先採用新技術並進行創新;而亞太地區的成長則得益於新興經濟體不斷成長的雲端運算投資和數位基礎設施的進步。
隨著企業採用無伺服器解決方案並在數位轉型過程中追求成本效益,FaaS 市場預計將持續擴張。北美市場的主導地位和亞太地區的強勁成長勢頭凸顯了區域趨勢,但相容性挑戰仍然存在。隨著供應商不斷改進其平台,FaaS 作為敏捷、可擴展應用架構的基礎,其重要性將日益凸顯。
它是用來做什麼的?
產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範及影響、新產品開發、競爭影響
The Function As A Service (FaaS) Market is expected to soar from USD 13.515 billion in 2025 to USD 46.819 billion in 2030, fueled by a 28.21% CAGR.
Function as a Service (FaaS) enables enterprises to execute code in response to events without managing underlying infrastructure, aligning with the broader serverless computing paradigm. The global FaaS market is experiencing accelerated growth, driven by enterprises' pursuit of infrastructure agility, cost efficiency, and rapid deployment capabilities. The shift from traditional DevOps models to serverless architectures underscores this trend, as organizations leverage FaaS for its ease of management and scalability. However, application compatibility issues in diverse cloud environments pose challenges. The COVID-19 pandemic further catalyzed adoption, as remote work surges increased reliance on cloud solutions for flexibility and scalability.
Market Drivers
Shift Toward Serverless Computing
The migration to serverless computing is a primary driver, allowing development teams to focus on core application logic while cloud providers handle backend operations. This model enhances deployment speed, operational efficiency, and resource allocation, mitigating traditional infrastructure management burdens. Providers continuously refine offerings to address limitations, boosting adoption. Serverless architectures automate scaling, enabling seamless code execution triggered by events, which reduces overhead and accelerates time-to-market-key advantages propelling FaaS demand across industries.
Cost-Effectiveness of FaaS
FaaS delivers significant cost reductions by provisioning resources on-demand, eliminating idle compute expenses. Users incur charges solely for actual usage, with no costs during inactivity. This pay-per-use model, combined with provider-managed infrastructure, slashes operational expenditures on servers and maintenance. Innovations like prepaid models further optimize expenses during stable workloads, making FaaS economically compelling for enterprises seeking to minimize capital outlay while maximizing agility.
Market Restraints
Compatibility challenges arise when running legacy or specialized applications in varied cloud environments, potentially limiting seamless integration and adoption. Additionally, dependency on provider ecosystems may introduce vendor lock-in risks, deterring some organizations from full commitment.
Market Segment Analysis
By deployment model, public cloud dominates due to its scalability and accessibility, followed by hybrid and private options for regulated industries. Large enterprises lead adoption for their complex workloads, while SMEs increasingly utilize FaaS for cost-effective scaling. End-users span BFSI (for secure transactions), IT and telecommunications (for network functions), retail (for e-commerce spikes), and healthcare (for data processing). Geographically, North America holds the largest share, bolstered by advanced cloud infrastructure and major providers like AWS, Microsoft, and IBM. Asia-Pacific is poised for rapid growth, fueled by substantial investments in digital transformation.
Competitive Landscape
Key players include Amazon Web Services (AWS), Google Inc., and IBM Corporation, employing strategies such as feature enhancements, partnerships, and ecosystem expansions to fortify market positions. These firms focus on runtime support expansions, performance optimizations, and integration with broader cloud services to attract diverse enterprise needs.
Regional Outlook
North America's dominance stems from technological maturity and provider headquarters, enabling early adoption and innovation. Asia-Pacific's growth is driven by escalating cloud investments in emerging economies, supporting digital infrastructure buildup.
The FaaS market is set for sustained expansion, propelled by serverless adoption and cost efficiencies amid enterprise digital shifts. North America's lead and Asia-Pacific's momentum highlight regional dynamics, though compatibility hurdles persist. As providers evolve platforms, FaaS will increasingly underpin agile, scalable application architectures.
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence
The Function as a Service Market is analyzed into the following segments:
By Deployment Model
By Enterprise Size
By End-User
By Geography