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MLOps市場規模、佔有率和成長分析（按組件、部署模式、垂直產業和地區分類）－2026-2033年產業預測

市場調查報告書

商品編碼

1907593

MLOps市場規模、佔有率和成長分析（按組件、部署模式、垂直產業和地區分類）－2026-2033年產業預測

MLOps Market Size, Share, and Growth Analysis, By Component (Platform, Services), By Deployment (On-Premises, Cloud), By Vertical, By Region -Industry Forecast 2026-2033

出版日期: 2025年12月23日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

全球 MLOps 市場規模預計在 2024 年達到 19.7 億美元，從 2025 年的 27.7 億美元成長到 2033 年的 428.4 億美元，在預測期（2026-2033 年）內複合年成長率為 40.8%。

全球機器學習運維 (MLOps) 市場正經歷顯著成長，這主要得益於各行業對機器學習和人工智慧 (AI) 解決方案日益成長的需求。這種快速成長源自於企業持續推動數位轉型，尋求創新方法來提升客戶參與、效率和盈利。醫療保健產業尤其突出，成為 MLOps 的關鍵應用領域，利用 MLOps 來改善患者治療效果並加速服務交付。影像分析和預測建模等技術正在變革診斷和治療流程，而 MLOps 則確保符合嚴格的隱私法規。隨著 AI 和 ML 技術在醫療保健領域的整合日益加深，對能夠應對模型部署、監控和持續改進等挑戰的強大 MLOps 解決方案的需求變得至關重要，這使得醫療保健行業成為市場成長的關鍵驅動力。

全球 MLOps 市場促進因素

全球機器學習運維 (MLOps) 市場的主要驅動力之一是機器學習流程自動化需求的不斷成長。隨著企業尋求提高營運效率並加快人工智慧解決方案的上市速度，高效的工作流程以及資料科學家和 IT 團隊之間的緊密協作變得至關重要。 MLOps 作為一個關鍵框架，能夠實現機器學習模型的生命週期管理，確保無縫整合、部署和監控。這種對大規模機器學習運作的日益重視，有助於企業充分釋放資料潛力，推動各產業的創新，並保持競爭優勢。

限制全球MLOps市場的因素

全球機器學習運作（MLOps）市場的主要限制因素之一是缺乏具備機器學習和維運管理專業知識的技能人才。成功實施MLOps需要兼具軟體開發、資料工程和機器學習技能的人才，這對於尋求部署有效解決方案的組織而言是一項重大挑戰。這種人才短缺阻礙了MLOps實踐的普及，並可能導致機器學習模型利用率不足和決策流程最佳化不足。此外，科技的快速發展要求持續學習和適應，這使得組織難以充分培訓員工並使其保持與時俱進。

全球MLOps市場趨勢

隨著各機構日益認知到人工智慧和機器學習在提升營運效率和改善患者照護的價值，MLOps市場正經歷顯著成長，尤其是在醫療保健領域。 MLOps解決方案正被廣泛應用於簡化預測模型、影像分析和個人化治療方案的開發和部署，使醫療服務提供者能夠提供更精準、更及時的干涉措施。這一趨勢的驅動力源於對能夠改善患者預後並支持數據驅動決策的先進醫療技術的需求。在監管合規性和擴充性仍然至關重要的前提下，MLOps的整合有望重新定義未來醫療服務的模式。

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2023-2025年營收年比比較

主要企業簡介

Seldon（United Kingdom）
Siemens（Germany）
Hewlett Packard Enterprise（HPE）（United States）
Key Developments
ClearML（United States）
Modzy（United States）
Comet（United States）
UbiOps（Netherlands）
RedBrick AI（India）
Datrics（United States）
CapeStart（United States）
Arrikto（United States）
Datatron（United States）
Neuro Inc.（United States）
AIron（United States）
Monitor ML（United States）
H2O.ai（United States）
Mission Automate（United States）
Reliam Inc.（United States）
Amazon Web Services（AWS）（United States）

結論與建議

簡介目錄

Product Code: SQMIG45D2064

Global MLOps Market size was valued at USD 1.97 Billion in 2024 and is poised to grow from USD 2.77 Billion in 2025 to USD 42.84 Billion by 2033, growing at a CAGR of 40.8% during the forecast period (2026-2033).

The global MLOps market is experiencing significant growth, driven by the increasing demand for machine learning and AI solutions across various sectors. This surge is influenced by the shift toward digital transformation, with organizations seeking innovative ways to enhance customer engagement, efficiency, and profitability. The healthcare sector stands out as a key adopter, leveraging MLOps for improved patient outcomes and faster service delivery. Techniques such as image analysis and predictive modeling are transforming diagnostic and treatment processes, while MLOps ensures compliance with stringent privacy regulations. As healthcare increasingly integrates AI and ML technologies, the need for robust MLOps solutions to address challenges in model deployment, monitoring, and ongoing improvement becomes crucial, positioning the industry as a vital contributor to market growth.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global MLOps 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 MLOps Market Segments Analysis

Global MLOps Market is segmented by Component, Deployment Mode, Organization Size, End Use and region. Based on Component, the market is segmented into Platform and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on End Use, the market is segmented into Banking, Financial Services, and Insurance, Retail and eCommerce, Government and Defense, Healthcare and Life Sciences, Manufacturing, Telecom, IT and ITeS, Energy and Utilities, Transportation and Logistics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global MLOps Market

One of the key market drivers for the Global MLOps Market is the increasing demand for automation in machine learning processes. As organizations strive to enhance operational efficiency and accelerate time-to-market for AI solutions, the need for streamlined workflows and robust collaboration between data scientists and IT teams is paramount. MLOps serves as a crucial framework that enables businesses to manage the lifecycle of machine learning models, ensuring seamless integration, deployment, and monitoring. This growing focus on operationalizing machine learning at scale helps companies unlock the full potential of their data, driving innovation and maintaining a competitive edge across various industries.

Restraints in the Global MLOps Market

One of the key market restraints for the global MLOps market is the shortage of skilled professionals with expertise in machine learning and operations management. The successful implementation of MLOps requires a blend of skills in software development, data engineering, and machine learning, which can pose a significant challenge for organizations seeking to deploy effective solutions. This talent gap can hinder the adoption of MLOps practices, leading to underutilized machine learning models and suboptimal decision-making processes. Furthermore, the rapid evolution of technology necessitates continuous learning and adaptation, making it difficult for organizations to keep their workforce adequately trained and up-to-date.

Market Trends of the Global MLOps Market

The MLOps market is witnessing significant growth, particularly in the healthcare sector, as organizations increasingly recognize the value of AI and machine learning in enhancing operational efficiencies and patient care. MLOps solutions are being adopted to streamline the development and deployment of predictive models, image analysis, and personalized treatment plans, thus enabling healthcare providers to deliver more accurate and timely interventions. This trend is propelled by the demand for advanced healthcare technologies that improve patient outcomes and support data-driven decision-making. As regulatory compliance and scalability remain critical, the integration of MLOps is positioned to redefine the future landscape of healthcare delivery.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2025
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Regulatory Landscape
Case Studies
Technological Advancement

Global MLOps Market Size by Component & CAGR (2026-2033)

Market Overview
Platform
Services

Global MLOps Market Size by Deployment Mode & CAGR (2026-2033)

Market Overview
On-Premises
Cloud

Global MLOps Market Size by Organization Size & CAGR (2026-2033)

Market Overview
Large Enterprises
SMEs

Global MLOps Market Size by End Use & CAGR (2026-2033)

Market Overview
Banking, Financial Services, and Insurance
Retail and eCommerce
Government and Defense
Healthcare and Life Sciences
Manufacturing
Telecom
IT and ITeS
Energy and Utilities
Transportation and Logistics
Others

Global MLOps Market Size & CAGR (2026-2033)

North America (Component, Deployment Mode, Organization Size, End Use)
- US
- Canada
Europe (Component, Deployment Mode, Organization Size, End Use)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Component, Deployment Mode, Organization Size, End Use)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Component, Deployment Mode, Organization Size, End Use)
- Brazil
- Rest of Latin America
Middle East & Africa (Component, Deployment Mode, Organization Size, End Use)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

Seldon (United Kingdom)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hewlett Packard Enterprise (HPE) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
Key Developments
ClearML (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Modzy (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Comet (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
UbiOps (Netherlands)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
RedBrick AI (India)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Datrics (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
CapeStart (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Arrikto (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Datatron (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Neuro Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
AIron (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Monitor ML (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
H2O.ai (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Mission Automate (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Reliam Inc. (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments