2025-2029年全球人工智慧與機器學習營運軟體市場

全球人工智慧和機器學習維運軟體市場預計將在2024年至2029年間成長至188.864億美元，預測期內複合年成長率（CAGR）為32.6%。本報告對全球人工智慧和機器學習維運軟體市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約25家公司的供應商分析。

本報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括人工智慧舉措的擴展和實現投資回報率 (ROI) 的重要性、生成式人工智慧的廣泛應用和專業機器學習運維 (LLMops) 的出現，以及對人工智慧管治、風險和合規 (GRC) 日益成長的需求。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

研究指出，轉向以業務為中心、低程式碼的MLOps模式是未來幾年推動全球人工智慧和機器學習維運軟體市場成長的關鍵因素之一。從點解決方案向整合端到端平台的融合，以及透過特徵儲存實現機器學習資料管理的集中化，預計將產生巨大的市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格、生命週期、顧客購買籃、採用率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球人工智慧與機器學習營運軟體市場
• 零件細分市場分析 2019-2023
• 2019-2023年部署細分市場分析
• 2019-2023年最終用戶細分市場分析
• 2019-2023年區域細分市場分析
• 2019-2023年國家細分市場分析

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

7. 按組件進行市場細分

• 比較：按組件
• 軟體
• 服務
• 按組件分類的市場機會

8. 依部署方式進行市場區隔

• 比較：依部署方式
• 基於雲端的
• 混合
• 本地部署
• 按部署方式分類的市場機會

9. 按最終用戶進行市場區隔

• 比較：按最終用戶
• BFSI
• 醫療保健和生命科學
• 製造業
• 零售與電子商務
• 其他
• 按最終用戶分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 歐洲
  • 英國
  • 德國
  • 法國
  • 荷蘭
  • 義大利
  • 西班牙
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 以色列
  • 南非
  • 土耳其
• 各區域的市場機遇

第12章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• Alteryx Inc.
• Amazon Web Services Inc.
• Cloudera Inc.
• Databricks Inc.
• Dataiku Inc.
• DataRobot Inc.
• Domino Data Lab Inc.
• Google Cloud
• H2O.ai Inc.
• IBM Corp.
• Kubeflow
• Microsoft Corp.
• MLflow Project
• SAS Institute Inc.
• Weights and Biases

第15章附錄

The global AI and machine learning operationalization software market is forecasted to grow by USD 18886.4 mn during 2024-2029, accelerating at a CAGR of 32.6% during the forecast period. The report on the global AI and machine learning operationalization software 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 critical imperative to scale AI initiatives and realize return on investment, proliferation of generative AI and emergence of specialized llmops, escalating demands for AI governance, risk, and compliance (grc).

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.

Technavio's global AI and machine learning operationalization software market is segmented as below:

By Component

• Software
• Services

By Deployment

• Cloud-based
• Hybrid
• On-premises

By End-User

• BFSI
• Healthcare and life sciences
• Manufacturing
• Retail and e-commerce
• Others

Geography

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

This study identifies the shift towards business-centric, low-code mlops paradigm as one of the prime reasons driving the global AI and machine learning operationalization software market growth during the next few years. Also, convergence of point solutions into integrated end to end platforms and centralization of ML data management via feature stores will lead to sizable demand in the market.

The report on the global AI and machine learning operationalization software market covers the following areas:

• Global AI and machine learning operationalization software market sizing
• Global AI and machine learning operationalization software market forecast
• Global AI and machine learning operationalization software 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 AI and machine learning operationalization software market vendors that include Alteryx Inc., Amazon Web Services Inc., Arize AI Inc., Cloudera Inc., Databricks Inc., Dataiku Inc., DataRobot Inc., Domino Data Lab Inc., Google Cloud, H2O.ai Inc., IBM Corp., Kubeflow, Microsoft Corp., MLflow Project, Neptune Labs Inc., SAS Institute Inc., Seldon Technologies, Tecton Inc., Weights and Biases. Also, the global AI and machine learning operationalization software 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 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 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI And Machine Learning Operationalization Software Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI And Machine Learning Operationalization Software Market 2019 - 2023 ($ million)
• 5.2 Component segment analysis 2019 - 2023
  • Historic Market Size - Component Segment 2019 - 2023 ($ million)
• 5.3 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Component

• 7.1 Market segments
• 7.2 Comparison by Component
• 7.3 Software - Market size and forecast 2024-2029
• 7.4 Services - Market size and forecast 2024-2029
• 7.5 Market opportunity by Component
  • Market opportunity by Component ($ million)

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 Cloud-based - Market size and forecast 2024-2029
• 8.4 Hybrid - Market size and forecast 2024-2029
• 8.5 On-premises - Market size and forecast 2024-2029
• 8.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 BFSI - Market size and forecast 2024-2029
• 9.4 Healthcare and life sciences - Market size and forecast 2024-2029
• 9.5 Manufacturing - Market size and forecast 2024-2029
• 9.6 Retail and e-commerce - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

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

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 APAC - Market size and forecast 2024-2029
  • 11.4.1 China - Market size and forecast 2024-2029
  • 11.4.2 Japan - Market size and forecast 2024-2029
  • 11.4.3 India - Market size and forecast 2024-2029
  • 11.4.4 South Korea - Market size and forecast 2024-2029
  • 11.4.5 Australia - Market size and forecast 2024-2029
  • 11.4.6 Indonesia - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 UK - Market size and forecast 2024-2029
  • 11.5.2 Germany - Market size and forecast 2024-2029
  • 11.5.3 France - Market size and forecast 2024-2029
  • 11.5.4 The Netherlands - Market size and forecast 2024-2029
  • 11.5.5 Italy - Market size and forecast 2024-2029
  • 11.5.6 Spain - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.2 UAE - Market size and forecast 2024-2029
  • 11.7.3 Israel - Market size and forecast 2024-2029
  • 11.7.4 South Africa - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Critical imperative to scale AI initiatives and realize return on investment
  • Proliferation of generative AI and emergence of specialized LLMOps
  • Escalating demands for AI governance, risk, and compliance (GRC)
• 12.2 Market challenges
  • Pervasive shortage of specialized MLOps talent
  • Complexity of integration within fragmented tooling ecosystem
  • Navigating rapidly evolving and technologically volatile landscape
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Shift towards business-centric, low-code MLOps paradigm
  • Convergence of point solutions into integrated end to end platforms
  • Centralization of ML data management via feature stores

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Alteryx Inc.
  • Alteryx Inc. - Overview
  • Alteryx Inc. - Product / Service
  • Alteryx Inc. - Key news
  • Alteryx Inc. - Key offerings
  • SWOT
• 14.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.6 Cloudera Inc.
  • Cloudera Inc. - Overview
  • Cloudera Inc. - Product / Service
  • Cloudera Inc. - Key offerings
  • SWOT
• 14.7 Databricks Inc.
  • Databricks Inc. - Overview
  • Databricks Inc. - Product / Service
  • Databricks Inc. - Key offerings
  • SWOT
• 14.8 Dataiku Inc.
  • Dataiku Inc. - Overview
  • Dataiku Inc. - Product / Service
  • Dataiku Inc. - Key offerings
  • SWOT
• 14.9 DataRobot Inc.
  • DataRobot Inc. - Overview
  • DataRobot Inc. - Product / Service
  • DataRobot Inc. - Key offerings
  • SWOT
• 14.10 Domino Data Lab Inc.
  • Domino Data Lab Inc. - Overview
  • Domino Data Lab Inc. - Product / Service
  • Domino Data Lab Inc. - Key offerings
  • SWOT
• 14.11 Google Cloud
  • Google Cloud - Overview
  • Google Cloud - Product / Service
  • Google Cloud - Key offerings
  • SWOT
• 14.12 H2O.ai Inc.
  • H2O.ai Inc. - Overview
  • H2O.ai Inc. - Product / Service
  • H2O.ai Inc. - Key offerings
  • SWOT
• 14.13 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.14 Kubeflow
  • Kubeflow - Overview
  • Kubeflow - Product / Service
  • Kubeflow - Key offerings
  • SWOT
• 14.15 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.16 MLflow Project
  • MLflow Project - Overview
  • MLflow Project - Product / Service
  • MLflow Project - Key offerings
  • SWOT
• 14.17 SAS Institute Inc.
  • SAS Institute Inc. - Overview
  • SAS Institute Inc. - Product / Service
  • SAS Institute Inc. - Key news
  • SAS Institute Inc. - Key offerings
  • SWOT
• 14.18 Weights and Biases
  • Weights and Biases - Overview
  • Weights and Biases - Product / Service
  • Weights and Biases - Key offerings
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations