시장보고서
상품코드
2030896

MLOps 시장(2026-2030년)

Global Mlops Market 2026-2030

발행일: | 리서치사: 구분자 TechNavio | 페이지 정보: 영문 311 Pages | 배송안내 : 즉시배송

    
    
    




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한글목차
영문목차
※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 MLOps 시장은 2025년부터 2030년까지 103억 2,110만 달러 증가하고, 예측 기간 동안 CAGR은 26.3%에 달할 것으로 예측됩니다.

세계의 MLOps 시장에 대해 조사 분석했으며, 시장 규모와 예측, 동향, 성장 촉진요인, 과제, 약 25개 벤더 분석 등의 정보를 전해드립니다.

이 보고서는 현재 시장 상황, 최신 동향 및 촉진요인, 그리고 전체 시장 환경에 대한 최신 분석을 제공합니다. 이 시장은 생성형 AI 및 대규모 언어 모델(LLM) 운영의 전략적 확산, 규제 준수 및 자동화된 AI 거버넌스의 산업화, 엣지 AI 및 실시간 운영 인텔리전스의 구조적 확장에 의해 주도되고 있습니다.

본 조사는 업계 주요 관계자의 의견을 포함한 1차 정보와 2차 정보를 객관적으로 조합하여 실시되었습니다. 이 보고서에는 주요 기업 분석과 함께 종합적인 시장 규모 데이터, 지역별 분석과 함께 부문 및 공급업체 현황이 포함되어 있습니다. 보고서에는 과거 데이터와 예측 데이터가 수록되어 있습니다.

시장 범위
기준 연도 2025년
종료 연도 2030년
조사 기간 2026-2030년
성장 모멘텀 가속
2026년 전년 대비 19.3%
CAGR 26.3%
증가액 103억 2,110만 달러

본 조사에서는 향후 몇 년간 세계 MLOps 시장의 성장을 견인할 주요 요인 중 하나로 MLOps의 제도화 및 복합 AI 시스템 관리의 정착을 꼽았습니다. 또한, 소버린 AI 플랫폼과 Policy as Code를 통한 거버넌스 확산, 로우코드 프레임워크와 엣지 AI의 도입 확대는 시장에서 상당한 수요를 창출할 것으로 예상됩니다.

목차

제1장 주요 요약

제2장 Technavio 분석

제3장 시장 구도

제4장 시장 규모

제5장 시장 규모 실적

제6장 정성 분석

제7장 Five Forces 분석

제8장 시장 세분화 : 구성요소별

제9장 시장 세분화 : 전개별

제10장 시장 세분화 : 비즈니스별

제11장 시장 세분화 : 최종사용자별

제12장 고객 상황

제13장 지역별 상황

제14장 촉진요인, 과제, 기회

제15장 경쟁 구도

제16장 경쟁 분석

제17장 부록

KSM 26.05.28

The global mlops market is forecasted to grow by USD 10321.1 mn during 2025-2030, accelerating at a CAGR of 26.3% during the forecast period. The report on the global mlops market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by strategic proliferation of generative ai and large language model operations, industrialization of regulatory compliance and automated ai governance, structural expansion of edge ai and real-time operational intelligence.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202619.3%
CAGR26.3%
Incremental Value$10321.1 mn

Technavio's global mlops market is segmented as below:

By Component

  • Platform
  • Service

By Deployment

  • Cloud
  • On-premises
  • Hybrid

By Business Segment

  • Large enterprises
  • SMBs

By End-User

  • BFSI
  • Healthcare
  • Retail and e-commerce

Geography

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
  • South America
    • Brazil
    • Argentina
    • Chile
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • Rest of World (ROW)

This study identifies the institutionalization of llmops and compound ai system management as one of the prime reasons driving the global mlops market growth during the next few years. Also, proliferation of sovereign ai platforms and policy-as-code governance and expansion of low-code frameworks and edge-ai deployment will lead to sizable demand in the market.

The report on the global mlops market covers the following areas:

  • Global mlops market sizing
  • Global mlops market forecast
  • Global mlops market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global mlops market vendors that include Alteryx Inc., Amazon.com Inc., Cloudera Inc., Comet ML Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., Domino Data Lab Inc., Fiddler AI, Google LLC, H2O.ai Inc., Hewlett Packard Enterprise Co., IBM Corp., Microsoft Corp., Neptune Labs Inc., SAS Institute Inc., Seldon Technologies, Snowflake Inc., Teradata Corp., Valohai Oy, Weights and Biases Inc.. Also, the global mlops market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Business Segment
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2025
  • 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

  • 5.1 Global MLOps Market 2020 - 2024
    • Historic Market Size - Data Table on Global MLOps Market 2020 - 2024 ($ million)
  • 5.2 Component segment analysis 2020 - 2024
    • Historic Market Size - Component Segment 2020 - 2024 ($ million)
  • 5.3 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.4 Business segment analysis 2020 - 2024
    • Historic Market Size - Business Segment 2020 - 2024 ($ million)
  • 5.5 End-user segment analysis 2020 - 2024
    • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
  • 5.6 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.7 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of AI in global MLOps market
  • 6.2 Impact of geopolitical conflict for global MLOps market

7 Five Forces Analysis

  • 7.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 7.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 7.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 7.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 7.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 7.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 7.7 Market condition

8 Market Segmentation by Component

  • 8.1 Market segments
  • 8.2 Comparison by Component
  • 8.3 Platform - Market size and forecast 2025-2030
  • 8.4 Service - Market size and forecast 2025-2030
  • 8.5 Market opportunity by Component
    • Market opportunity by Component ($ million)

9 Market Segmentation by Deployment

  • 9.1 Market segments
  • 9.2 Comparison by Deployment
  • 9.3 Cloud - Market size and forecast 2025-2030
  • 9.4 On-premises - Market size and forecast 2025-2030
  • 9.5 Hybrid - Market size and forecast 2025-2030
  • 9.6 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

10 Market Segmentation by Business

  • 10.1 Market segments
  • 10.2 Comparison by Business
  • 10.3 Large enterprises - Market size and forecast 2025-2030
  • 10.4 SMBs - Market size and forecast 2025-2030
  • 10.5 Market opportunity by Business
    • Market opportunity by Market Segmentation by Business Segment ($ million)

11 Market Segmentation by End-user

  • 11.1 Market segments
  • 11.2 Comparison by End-user
  • 11.3 BFSI - Market size and forecast 2025-2030
  • 11.4 Healthcare - Market size and forecast 2025-2030
  • 11.5 Retail and e-commerce - Market size and forecast 2025-2030
  • 11.6 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

12 Customer Landscape

  • 12.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

13 Geographic Landscape

  • 13.1 Geographic segmentation
  • 13.2 Geographic comparison
  • 13.3 North America - Market size and forecast 2025-2030
    • 13.3.1 US - Market size and forecast 2025-2030
    • 13.3.2 Canada - Market size and forecast 2025-2030
    • 13.3.3 Mexico - Market size and forecast 2025-2030
  • 13.4 Europe - Market size and forecast 2025-2030
    • 13.4.1 Germany - Market size and forecast 2025-2030
    • 13.4.2 UK - Market size and forecast 2025-2030
    • 13.4.3 France - Market size and forecast 2025-2030
    • 13.4.4 Italy - Market size and forecast 2025-2030
    • 13.4.5 Spain - Market size and forecast 2025-2030
    • 13.4.6 The Netherlands - Market size and forecast 2025-2030
  • 13.5 APAC - Market size and forecast 2025-2030
    • 13.5.1 China - Market size and forecast 2025-2030
    • 13.5.2 Japan - Market size and forecast 2025-2030
    • 13.5.3 India - Market size and forecast 2025-2030
    • 13.5.4 South Korea - Market size and forecast 2025-2030
    • 13.5.5 Australia - Market size and forecast 2025-2030
    • 13.5.6 Indonesia - Market size and forecast 2025-2030
  • 13.6 South America - Market size and forecast 2025-2030
    • 13.6.1 Brazil - Market size and forecast 2025-2030
    • 13.6.2 Argentina - Market size and forecast 2025-2030
    • 13.6.3 Chile - Market size and forecast 2025-2030
  • 13.7 Middle East and Africa - Market size and forecast 2025-2030
    • 13.7.1 Saudi Arabia - Market size and forecast 2025-2030
    • 13.7.2 UAE - Market size and forecast 2025-2030
    • 13.7.3 South Africa - Market size and forecast 2025-2030
    • 13.7.4 Israel - Market size and forecast 2025-2030
    • 13.7.5 Turkey - Market size and forecast 2025-2030
  • 13.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

14 Drivers, Challenges, and Opportunity

  • 14.1 Market drivers
    • Strategic proliferation of generative AI and large language model operations
    • Industrialization of regulatory compliance and automated AI governance
    • Structural expansion of edge AI and real-time operational intelligence
  • 14.2 Market challenges
    • Intensification of security vulnerabilities in automated pipeline architectures
    • Escalation of technical complexity in compound LLM orchestration
    • Acute scarcity of specialized talent and rising human capital expenditure
  • 14.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 14.4 Market opportunities
    • Institutionalization of LLMOps and compound AI system management
    • Proliferation of sovereign AI platforms and policy-as-code governance
    • Expansion of low-code frameworks and edge-AI deployment

15 Competitive Landscape

  • 15.1 Overview
  • 15.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 15.3 Landscape disruption
    • Overview on factors of disruption
  • 15.4 Industry risks
    • Impact of key risks on business

16 Competitive Analysis

  • 16.1 Companies profiled
    • Companies covered
  • 16.2 Company ranking index
    • Company ranking index
  • 16.3 Market positioning of companies
    • Matrix on companies position and classification
  • 16.4 Alteryx Inc.
    • Alteryx Inc. - Overview
    • Alteryx Inc. - Product / Service
    • Alteryx Inc. - Key offerings
    • SWOT
  • 16.5 Amazon.com Inc.
    • Amazon.com Inc. - Overview
    • Amazon.com Inc. - Business segments
    • Amazon.com Inc. - Key news
    • Amazon.com Inc. - Key offerings
    • Amazon.com Inc. - Segment focus
    • SWOT
  • 16.6 Cloudera Inc.
    • Cloudera Inc. - Overview
    • Cloudera Inc. - Product / Service
    • Cloudera Inc. - Key offerings
    • SWOT
  • 16.7 Databricks Inc.
    • Databricks Inc. - Overview
    • Databricks Inc. - Product / Service
    • Databricks Inc. - Key offerings
    • SWOT
  • 16.8 Dataiku Inc.
    • Dataiku Inc. - Overview
    • Dataiku Inc. - Product / Service
    • Dataiku Inc. - Key offerings
    • SWOT
  • 16.9 Fiddler AI
    • Fiddler AI - Overview
    • Fiddler AI - Product / Service
    • Fiddler AI - Key offerings
    • SWOT
  • 16.10 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 16.11 H2O.ai Inc.
    • H2O.ai Inc. - Overview
    • H2O.ai Inc. - Product / Service
    • H2O.ai Inc. - Key offerings
    • SWOT
  • 16.12 Hewlett Packard Enterprise Co.
    • Hewlett Packard Enterprise Co. - Overview
    • Hewlett Packard Enterprise Co. - Business segments
    • Hewlett Packard Enterprise Co. - Key news
    • Hewlett Packard Enterprise Co. - Key offerings
    • Hewlett Packard Enterprise Co. - Segment focus
    • SWOT
  • 16.13 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 16.14 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 16.15 SAS Institute Inc.
    • SAS Institute Inc. - Overview
    • SAS Institute Inc. - Product / Service
    • SAS Institute Inc. - Key offerings
    • SWOT
  • 16.16 Seldon Technologies
    • Seldon Technologies - Overview
    • Seldon Technologies - Product / Service
    • Seldon Technologies - Key offerings
    • SWOT
  • 16.17 Snowflake Inc.
    • Snowflake Inc. - Overview
    • Snowflake Inc. - Business segments
    • Snowflake Inc. - Key offerings
    • Snowflake Inc. - Segment focus
    • SWOT
  • 16.18 Teradata Corp.
    • Teradata Corp. - Overview
    • Teradata Corp. - Business segments
    • Teradata Corp. - Key news
    • Teradata Corp. - Key offerings
    • Teradata Corp. - Segment focus
    • SWOT

17 Appendix

  • 17.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 17.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 17.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 17.4 Research methodology
    • Research methodology
  • 17.5 Data procurement
    • Information sources
  • 17.6 Data validation
    • Data validation
  • 17.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 17.8 Data synthesis
    • Data synthesis
  • 17.9 360 degree market analysis
    • 360 degree market analysis
  • 17.10 List of abbreviations
    • List of abbreviations
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