2026-2030年全球機器學習(ML)市場
市場調查報告書
商品編碼
2125890

2026-2030年全球機器學習(ML)市場

Global Machine Learning (ML) Market 2026-2030

出版日期: | 出版商: TechNavio | 英文 312 Pages | 訂單完成後即時交付

價格
簡介目錄

全球機器學習 (ML) 市場預計將在 2025 年至 2030 年間成長至 2,982.352 億美元,預測期內複合年成長率將達到 60.6%。

本報告對全球機器學習 (ML) 市場進行了全面分析,包括市場規模和預測、趨勢、成長要素、挑戰以及涵蓋約 25 家供應商的供應商分析。

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企業對智慧流程自動化的需求不斷成長、雲端原生運算基礎設施的擴展以及機器學習在特定產業應用中的日益普及。

本研究客觀地結合了一手和二手訊息,包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、包括區域分析在內的市場細分以及供應商格局。此外,報告還包含歷史數據和預測數據。

市場範圍
基準年 2025
年末 2030
調查期 2026-2030
成長勢頭 加速度
與 2026 年相比 57.2%
複合年成長率 60.6%
增量 2982.352億美元

這項研究表明,未來幾年,以代理為中心的機器學習架構的日益普及將成為全球機器學習(ML)市場成長的主要驅動力之一。此外,機器學習與保全行動的整合以及對多模態機器學習開發日益成長的需求,預計也將帶來顯著的市場需求。

目錄

第1章:執行摘要

第2章 Technavio 分析

  • 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
  • 輸入的重要性及差異化因素
  • 干擾因素
  • 促進因素和挑戰的影響

第3章 市場狀況

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場的定義
  • 市場區隔分析
  • 2025年市場規模
  • 市場展望,2025-2030年

第5章 市場規模與表現

  • 2020-2024年全球機器學習(ML)市場
  • 2020年至2024年最終用戶細分市場分析
  • 按部署方式分類的細分市場分析,2020-2024 年
  • 基於組件的細分市場分析,2020-2024 年
  • 區域區隔市場分析,2020-2024 年
  • 2020-2024年各國細分市場分析

第6章 定性分析

  • 人工智慧的影響:全球機器學習 (ML) 市場
  • 地緣政治衝突對全球機器學習(ML)市場的影響。

第7章:五力分析

第8章 市場區隔:依最終用戶分類

  • 比較:按最終用戶
  • 零售
  • BFSI
  • 電訊
  • 衛生保健
  • 其他
  • 市場機會:依最終用戶分類

第9章 市場區隔:依部署方式

  • 比較:依部署方式
  • 基於雲端的
  • 現場
  • 市場機會:依發展階段分類

第10章 市場區隔:按組件

  • 比較:按組件
  • 服務
  • 軟體
  • 硬體
  • 市場機會:按組件分類

第11章 客戶情況

第12章 區域情勢

  • 區域分類
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非
    • 以色列
    • 土耳其
  • 南美洲
    • 巴西
    • 阿根廷
    • 智利
  • 市場機會:按地區分類

第13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14章 競爭格局

  • 概述
  • 競爭格局
  • 混亂局面
  • 產業風險

第15章 競爭分析

  • 公司簡介
  • 公司排名指標
  • 企業市場定位
  • Alibaba Group Holding Ltd.
  • Amazon.com Inc.
  • Databricks Inc.
  • Google LLC
  • Hewlett Packard Enterprise Co.
  • IBM Corp.
  • Intel Corp.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • Palantir Technologies Inc.
  • Salesforce Inc.
  • SAP SE
  • SAS Institute Inc.
  • Snowflake Inc.

第16章附錄

簡介目錄
Product Code: IRTNTR40918

The global machine learning (ML) market is forecasted to grow by USD 298235.2 mn during 2025-2030, accelerating at a CAGR of 60.6% during the forecast period. The report on the global machine learning (ML) 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 growing enterprise demand for intelligent process automation, expansion of cloud-native computing infrastructure, increasing adoption of machine learning across industry-specific applications.

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 202657.2%
CAGR60.6%
Incremental Value$298235.2 mn

Technavio's global machine learning (ML) market is segmented as below:

By End-User

  • Retail
  • BFSI
  • Telecommunications
  • Healthcare
  • Others

By Deployment

  • Cloud-based
  • On-premises

By Component

  • Services
  • Software
  • Hardware

Geography

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

This study identifies the growing adoption of agent-centric machine learning architectures as one of the prime reasons driving the global machine learning (ml) market growth during the next few years. Also, increasing convergence of machine learning and cybersecurity operations and rising preference for multimodal machine learning development will lead to sizable demand in the market.

The report on the global machine learning (ml) market covers the following areas:

  • Global machine learning (ml) market sizing
  • Global machine learning (ml) market forecast
  • Global machine learning (ml) 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 machine learning (ml) market vendors that include Advanced Micro Devices Inc., Alibaba Group Holding Ltd., Alteryx Inc., Amazon.com Inc., Baidu Inc., C3.ai Inc., Databricks Inc., DataRobot Inc., Google LLC, H2O.ai Inc., Hewlett Packard Enterprise Co., IBM Corp., Intel Corp., Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., Salesforce Inc., SAP SE, SAS Institute Inc., Snowflake Inc., Tencent Holdings Ltd.. Also, the global machine learning (ml) 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 End-user
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Market Segmentation by Component
    • 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 Machine Learning (ML) Market 2020 - 2024
    • Historic Market Size - Data Table on Global Machine Learning (ML) Market 2020 - 2024 ($ million)
  • 5.2 End-user segment analysis 2020 - 2024
    • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
  • 5.3 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.4 Component segment analysis 2020 - 2024
    • Historic Market Size - Component Segment 2020 - 2024 ($ million)
  • 5.5 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.6 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of AI on global machine learning (ML) market
  • 6.2 Impact of geopolitical conflicts on global machine learning (ML) 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 End-user

  • 8.1 Market segments
  • 8.2 Comparison by End-user
  • 8.3 Retail - Market size and forecast 2025-2030
  • 8.4 BFSI - Market size and forecast 2025-2030
  • 8.5 Telecommunications - Market size and forecast 2025-2030
  • 8.6 Healthcare - Market size and forecast 2025-2030
  • 8.7 Others - Market size and forecast 2025-2030
  • 8.8 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

9 Market Segmentation by Deployment

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

10 Market Segmentation by Component

  • 10.1 Market segments
  • 10.2 Comparison by Component
  • 10.3 Services - Market size and forecast 2025-2030
  • 10.4 Software - Market size and forecast 2025-2030
  • 10.5 Hardware - Market size and forecast 2025-2030
  • 10.6 Market opportunity by Component
    • Market opportunity by Component ($ million)

11 Customer Landscape

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

12 Geographic Landscape

  • 12.1 Geographic segmentation
  • 12.2 Geographic comparison
  • 12.3 North America - Market size and forecast 2025-2030
    • 12.3.1 US - Market size and forecast 2025-2030
    • 12.3.2 Canada - Market size and forecast 2025-2030
    • 12.3.3 Mexico - Market size and forecast 2025-2030
  • 12.4 Europe - Market size and forecast 2025-2030
    • 12.4.1 Germany - Market size and forecast 2025-2030
    • 12.4.2 UK - Market size and forecast 2025-2030
    • 12.4.3 France - Market size and forecast 2025-2030
    • 12.4.4 Italy - Market size and forecast 2025-2030
    • 12.4.5 Spain - Market size and forecast 2025-2030
    • 12.4.6 The Netherlands - Market size and forecast 2025-2030
  • 12.5 APAC - Market size and forecast 2025-2030
    • 12.5.1 China - Market size and forecast 2025-2030
    • 12.5.2 Japan - Market size and forecast 2025-2030
    • 12.5.3 India - Market size and forecast 2025-2030
    • 12.5.4 South Korea - Market size and forecast 2025-2030
    • 12.5.5 Australia - Market size and forecast 2025-2030
    • 12.5.6 Indonesia - Market size and forecast 2025-2030
  • 12.6 Middle East and Africa - Market size and forecast 2025-2030
    • 12.6.1 Saudi Arabia - Market size and forecast 2025-2030
    • 12.6.2 UAE - Market size and forecast 2025-2030
    • 12.6.3 South Africa - Market size and forecast 2025-2030
    • 12.6.4 Israel - Market size and forecast 2025-2030
    • 12.6.5 Turkey - Market size and forecast 2025-2030
  • 12.7 South America - Market size and forecast 2025-2030
    • 12.7.1 Brazil - Market size and forecast 2025-2030
    • 12.7.2 Argentina - Market size and forecast 2025-2030
    • 12.7.3 Chile - Market size and forecast 2025-2030
  • 12.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

  • 13.1 Market drivers
    • Growing enterprise demand for intelligent process automation
    • Expansion of cloud-native computing infrastructure
    • Increasing adoption of machine learning across industry-specific applications
  • 13.2 Market challenges
    • Data quality and data fragmentation
    • Shortage of specialized workforce and technical expertise
    • Complex regulatory compliance and governance requirements
  • 13.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 13.4 Market opportunities
    • Growing adoption of agent-centric machine learning architectures
    • Increasing convergence of machine learning and cybersecurity operations
    • Rising preference for multimodal machine learning development

14 Competitive Landscape

  • 14.1 Overview
  • 14.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 14.3 Landscape disruption
    • Overview on factors of disruption
  • 14.4 Industry risks
    • Impact of key risks on business

15 Competitive Analysis

  • 15.1 Companies profiled
    • Companies covered
  • 15.2 Company ranking index
    • Company ranking index
  • 15.3 Market positioning of companies
    • Matrix on companies position and classification
  • 15.4 Alibaba Group Holding Ltd.
    • Alibaba Group Holding Ltd. - Overview
    • Alibaba Group Holding Ltd. - Business segments
    • Alibaba Group Holding Ltd. - Key offerings
    • Alibaba Group Holding Ltd. - Segment focus
    • SWOT
  • 15.5 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
  • 15.6 Databricks Inc.
    • Databricks Inc. - Overview
    • Databricks Inc. - Product / Service
    • Databricks Inc. - Key offerings
    • SWOT
  • 15.7 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key news
    • Google LLC - Key offerings
    • SWOT
  • 15.8 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
  • 15.9 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 15.10 Intel Corp.
    • Intel Corp. - Overview
    • Intel Corp. - Business segments
    • Intel Corp. - Key news
    • Intel Corp. - Key offerings
    • Intel Corp. - Segment focus
    • SWOT
  • 15.11 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 15.12 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 15.13 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 15.14 Palantir Technologies Inc.
    • Palantir Technologies Inc. - Overview
    • Palantir Technologies Inc. - Business segments
    • Palantir Technologies Inc. - Key offerings
    • Palantir Technologies Inc. - Segment focus
    • SWOT
  • 15.15 Salesforce Inc.
    • Salesforce Inc. - Overview
    • Salesforce Inc. - Business segments
    • Salesforce Inc. - Key news
    • Salesforce Inc. - Key offerings
    • Salesforce Inc. - Segment focus
    • SWOT
  • 15.16 SAP SE
    • SAP SE - Overview
    • SAP SE - Business segments
    • SAP SE - Key news
    • SAP SE - Key offerings
    • SAP SE - Segment focus
    • SWOT
  • 15.17 SAS Institute Inc.
    • SAS Institute Inc. - Overview
    • SAS Institute Inc. - Product / Service
    • SAS Institute Inc. - Key offerings
    • SWOT
  • 15.18 Snowflake Inc.
    • Snowflake Inc. - Overview
    • Snowflake Inc. - Business segments
    • Snowflake Inc. - Key news
    • Snowflake Inc. - Key offerings
    • Snowflake Inc. - Segment focus
    • SWOT

16 Appendix

  • 16.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 16.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 16.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 16.4 Research methodology
    • Research methodology
  • 16.5 Data procurement
    • Information sources
  • 16.6 Data validation
    • Data validation
  • 16.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 16.8 Data synthesis
    • Data synthesis
  • 16.9 360 degree market analysis
    • 360 degree market analysis
  • 16.10 List of abbreviations
    • List of abbreviations