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市場調查報告書
商品編碼
1889276
DevOps市場預測至2032年:按組件、部署模型、公司規模、最終用戶和地區分類的全球分析DevOps Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Model, Enterprise Size, End User and By Geography |
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根據 Stratistics MRC 預測,全球 DevOps 市場規模預計將在 2025 年達到 151.5 億美元,到 2032 年達到 565.4 億美元,預測期內複合年成長率 (CAGR) 為 20.7%。 DevOps 是一種將開發團隊和 IT 維運團隊整合起來的方法論,旨在提高速度、最佳化流程並提升軟體可靠性。它專注於持續整合、持續配置、自動化和持續性能追蹤,以簡化任務並最大限度地減少人工干預。透過培養協作文化,DevOps 使團隊能夠快速適應市場需求、及早發現問題並保持系統的高度穩定性。其原則支持透明溝通,從而實現快速更新並加強組織目標與技術工作之間的一致性。 DevOps 還依賴先進的自動化、版本控制和基礎架構管理工具,以協助組織實現可擴展、可靠且可重複的部署環境。
根據 2023 年 Puppet DevOps 報告(平台工程),93% 的受訪者認為採用平台工程是擴展 DevOps 的正確方向。
對更快軟體交付的需求日益成長
對快速可靠軟體交付的需求日益成長,是推動DevOps市場發展的主要動力,因為企業都在努力縮短發布週期,同時保持高品質。 DevOps實踐,例如自動化測試、持續部署和整合工作流程,使團隊能夠以最小的干擾快速發布更新。由於競爭加劇、數位化以及客戶期望不斷提高,速度如今至關重要。 DevOps透過消除低效環節並促進順暢協作,幫助企業快速回應不斷變化的市場環境。採用DevOps的企業可以更快地進行創新,減少生產延遲,並保持可靠的發布週期,以適應當今快節奏的技術環境。
高昂的實施和整合成本
採用和整合 DevOps 所帶來的高昂成本是市場上的一個主要限制因素,尤其對小規模企業影響尤其顯著。成功採用 DevOps 需要投資於自動化解決方案、雲端基礎設施、現代工具鏈和專業團隊,這往往會對企業的財務能力造成壓力。將 DevOps 整合到現有環境中會增加複雜性,導致更高的成本和更長的計劃週期。轉型也需要進行組織架構調整、工作流程更新和持續的員工培訓,進一步推高成本。自動化經驗有限的公司可能會面臨陡峭的學習曲線和昂貴的實施階段。這些財務挑戰構成了採用 DevOps 的障礙,導致許多公司推遲或限制其 DevOps 投資。
人工智慧和機器學習在DevOps中的崛起
人工智慧 (AI) 和機器學習 (ML) 透過實現高階自動化、更智慧的分析和主動回應問題,為 DevOps 市場帶來變革機會。 AI 驅動的 DevOps 平台能夠分析海量資料集、偵測異常行為,並在最大限度減少人工干預的情況下最佳化運維流程。機器學習可以提高測試準確性、預測效能問題並最佳化雲端資源使用。隨著IT基礎設施變得更加分散和動態,智慧技術支援更快的故障解決和更有效率的運維。採用 AI 驅動的 DevOps 的企業將受益於更高的生產力、更少的停機時間和更快的開發週期。對智慧自動化日益成長的需求預計將顯著推動 DevOps 的普及和市場成長。
多重雲端和混合環境的複雜性
混合雲和多重雲端基礎設施日益複雜,對DevOps的普及構成嚴重威脅,因為管理多樣化的平台需要深厚的專業知識和清晰的管治。跨多個雲端供應商營運的組織會因不同的架構、安全策略和整合要求而面臨挑戰。這些差異會導致部署不一致、效能問題和營運風險增加。對於配置團隊而言,維護分散式系統的可見度和可靠性變得越來越困難。隨著環境日益分散化,自動化管理也變得更加困難,增加了開銷並降低了效率。由於擔心營運中斷和實施挑戰,缺乏先進雲端能力的公司可能對全面採用DevOps猶豫不決。
新冠疫情透過加速數位化以及對自動化和高效遠端協作日益成長的需求,對DevOps市場產生了重大影響。隨著企業向分散式工作模式轉型,對雲端基礎的開發、持續交付和可擴展平台的需求不斷成長,以支援不斷擴展的數位營運。疫情凸顯了快速創新、穩定系統和更快發布週期的重要性,迫使企業升級現有工作流程。儘管訓練中斷、預算限制和協調困難等挑戰影響了一些團隊,但DevOps的整體採用率有所提高。此次危機強化了長期現代化建設的決心,並推動了對DevOps工具、雲端整合和協作開發生態系統的投資。
預計在預測期內,雲端運算領域將佔據最大的市場佔有率。
預計在預測期內,雲端領域將佔據最大的市場佔有率,因為它提供了靈活、可擴展且易於存取的資源,這些資源對於持續交付和自動化開發平臺至關重要。雲端基礎的生態系統降低了基礎架構的複雜性,增強了團隊合作,簡化了流程並加快了發布速度。企業正在採用雲端 DevOps 解決方案,以受益於快速部署、簡化管理以及對微服務、容器技術和現代架構的強大支援。雲端平台還改進了分散式環境中的測試、監控和安全整合。隨著企業將數位轉型列為優先事項,向雲端託管應用程式的遷移持續成長,這鞏固了雲端領域作為高效 DevOps 實踐關鍵促進者。
預計在預測期內,醫療保健和生命科學領域將呈現最高的複合年成長率。
在醫療服務的數位轉型、遠端醫療的擴展以及監管壓力等因素的推動下,醫療保健和生命科學領域預計將在預測期內實現最高成長率。醫療機構越來越依賴DevOps來實現頻繁的應用程式更新,同時保護病患資料並滿足合規性要求。互聯設備和人工智慧診斷技術的興起增加了複雜性,需要強大且可擴展的系統。利用持續整合和配置,醫療機構可以在不犧牲穩定性和安全性的前提下加速創新。隨著業界朝著以數據為中心、即時護理模式發展,DevOps有望在醫療保健領域實現敏捷、高品質和合規的軟體交付方面發揮關鍵作用。
由於北美擁有高度發展的數位基礎設施、強大的雲端運算應用以及眾多具有影響力的科技公司,預計在預測期內,北美將保持最大的市場佔有率。美國和加拿大的企業正在利用先進的DevOps策略,這得益於其在自動化和持續軟體交付方面的大量投資。這些企業需要強大的CI/CD管線和擴充性的DevOps解決方案。加之雲端運算的廣泛應用、穩定的監管環境以及濃厚的創新文化,該地區為DevOps的擴展提供了沃土。這種有利的環境將使北美繼續保持在全球DevOps應用和工具部署的領先地位。
亞太地區預計將在預測期內實現最高的複合年成長率,這主要得益於強勁的數位轉型、日益普及的雲端運算以及中國、印度和東南亞等國家蓬勃發展的科技Start-Ups生態系統。各國政府對數位基礎設施和IT創新的大規模投資也推動了這一趨勢。亞太地區的企業也致力於敏捷開發和自動化,以滿足不斷變化的市場需求。隨著企業實現軟體營運現代化並擴展其工程能力,對DevOps工具和服務的需求激增,使該地區成為全球成長最快的DevOps市場。
According to Stratistics MRC, the Global DevOps Market is accounted for $15.15 billion in 2025 and is expected to reach $56.54 billion by 2032 growing at a CAGR of 20.7% during the forecast period. DevOps is an integrated methodology that brings together development teams and IT operations to boost speed, optimize processes, and improve software reliability. It focuses on continuous integration, continuous deployment, automation, and ongoing performance tracking to simplify tasks and minimize manual intervention. By nurturing a cooperative culture, DevOps enables teams to adapt quickly to market demands, detect problems sooner, and sustain high system stability. Its principles support transparent communication, enabling rapid updates and stronger alignment between organizational goals and technical work. DevOps also relies on advanced tools for automation, versioning, and infrastructure management, helping organizations achieve scalable, dependable, and repeatable deployment environments.
According to the 2023 Puppet State of DevOps Report (Platform Engineering Edition), 93% of respondents said adopting platform engineering is a step in the right direction for scaling DevOps.
Growing need for faster software delivery
The accelerating demand for rapid and dependable software delivery significantly fuels the DevOps market, as businesses work to shorten release timelines while maintaining high quality. DevOps practices such as automated testing, continuous deployment, and integrated workflows empower teams to launch updates swiftly with minimal disruptions. Speed is now crucial due to rising competition, growing digital adoption, and increasing customer expectations. By removing inefficiencies and enabling smooth collaboration, DevOps helps organizations respond faster to changing market conditions. Enterprises implementing DevOps gain the ability to innovate quickly, reduce production delays, and sustain a reliable release cycle that aligns with today's fast-paced technological environment.
High implementation and integration costs
The substantial costs associated with implementing and integrating DevOps act as a major limitation for the market, particularly impacting smaller organizations. Successful DevOps adoption requires spending on automation solutions, cloud infrastructure, modern toolchains, and expert teams, often stretching financial capacity. Integrating DevOps into legacy environments adds further complexity, resulting in higher expenses and prolonged project durations. The shift also involves organizational restructuring, updated workflows, and continuous workforce training, driving costs even higher. Businesses with limited automation backgrounds may experience steep learning curves and expensive onboarding phases. These financial challenges create adoption barriers, causing many companies to delay or restrict DevOps investments.
Expansion of AI and ML in DevOps
Artificial intelligence and machine learning offer transformative opportunities for the DevOps market by enabling advanced automation, smarter analytics, and proactive problem prevention. AI-enabled DevOps platforms can examine vast datasets, detect unusual behaviors, and refine operational processes with minimal human input. Machine learning enhances testing precision, anticipates performance issues, and optimizes cloud resource usage. As IT infrastructures become more distributed and dynamic, intelligent technologies support faster resolutions and more efficient operations. Companies integrating AI-driven DevOps benefit from improved productivity, fewer disruptions, and accelerated development cycles. The increasing demand for intelligent automation is expected to significantly expand DevOps adoption and market growth.
Complexity of multi-cloud and hybrid environments
The rising complexity of hybrid and multi-cloud infrastructures presents a serious threat to DevOps adoption, as managing diverse platforms requires deep expertise and well-defined governance. Organizations working across multiple cloud vendors face challenges due to differing architectures, security policies, and integration requirements. These variations can create deployment inconsistencies, performance issues, and elevated operational risks. Maintaining visibility and reliability across distributed systems becomes increasingly difficult for DevOps teams. As environments grow more fragmented, automation becomes harder to manage effectively, increasing overhead and reducing efficiency. Companies without advanced cloud capabilities may hesitate to adopt DevOps fully, fearing operational disruptions and implementation challenges.
COVID-19 had a strong influence on the DevOps market by accelerating digital adoption and increasing the need for automation and efficient remote collaboration. With organizations shifting to distributed work models, demand grew for cloud-based development, continuous delivery, and scalable platforms to support expanding digital operations. The pandemic emphasized the need for rapid innovation, stable systems, and faster release cycles, prompting companies to upgrade existing workflows. Although challenges such as disrupted training, limited budgets, and coordination issues affected some teams, overall adoption of DevOps increased. The crisis reinforced long-term modernization efforts, boosting investment in DevOps tools, cloud integration, and collaborative development ecosystems.
The cloud segment is expected to be the largest during the forecast period
The cloud segment is expected to account for the largest market share during the forecast period because it offers flexible, scalable, and easily accessible resources essential for continuous delivery and automated development pipelines. Cloud-based ecosystems enhance team collaboration, streamline processes, and accelerate releases by reducing infrastructure complexities. Companies adopt cloud DevOps solutions to benefit from rapid setup, simplified management, and strong support for microservices, container technologies, and modern architectures. Cloud platforms also improve testing, monitoring, and security integration in distributed environments. With organizations prioritizing digital modernization, the shift toward cloud-hosted applications continues to grow, firmly positioning the cloud segment as the leading enabler of effective DevOps practices.
The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, driven by digital transformation in medical services, expanded telehealth, and regulatory pressures. Health-care firms increasingly rely on DevOps to deliver frequent application updates while protecting patient data and meeting compliance demands. The rise of connected devices and AI-powered diagnostics adds complexity, requiring robust, scalable systems. By using continuous integration and deployment, healthcare companies can speed up innovation without sacrificing stability or security. As the industry shifts toward data-centric, real-time care models, DevOps will play a critical role in enabling agile, high-quality, and compliant software delivery in health care.
During the forecast period, the North America region is expected to hold the largest market share, owing to its highly developed digital infrastructure, strong cloud adoption, and influential technology firms. Companies across the U.S. and Canada leverage sophisticated DevOps strategies, fueled by significant investment in automation and continuous software delivery. These organizations demand robust CI/CD pipelines and scalable DevOps solutions. Combined with widespread cloud implementation, regulatory stability, and a strong innovation culture, the region offers fertile ground for DevOps expansion. This favorable environment allows North America to remain at the forefront of global DevOps adoption and tool deployment.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to strong digital transformation, increasing cloud usage, and a rapidly growing technology startup scene in countries like China, India, and Southeast Asian nations. Significant government investments in digital infrastructure and IT innovation are fueling this trend. Businesses in APAC are also turning to agile development and automation to keep up with evolving market demands. As companies modernize their software operations and scale their engineering capabilities, demand for DevOps tools and services is soaring, making the region the most rapidly expanding DevOps market globally.
Key players in the market
Some of the key players in DevOps Market include Amazon Web Services, Inc., Microsoft Corporation, Google LLC, IBM Corporation, Oracle Corporation, Atlassian Corporation Plc, GitLab Inc., Red Hat, Inc., Broadcom Inc., Puppet Inc., Chef Software (Progress), HashiCorp Inc., Docker Inc., Circle Internet Svcs Inc. (CircleCI) and JetBrains s.r.o.
In November 2025, IBM and Atruvia AG have sealed a long-term collaboration that paves the way for sustainable and state-of-the-art IT platforms for the banking of tomorrow. Atruvia will use IBM z17, which was announced earlier this year, as a cornerstone supports its mission critical operations including the core banking system.
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 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.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.