2025-2029年全球機器學習軟體市場
市場調查報告書
商品編碼
1915692

2025-2029年全球機器學習軟體市場

Global Machine Learning Software Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 318 Pages | 訂單完成後即時交付

價格
簡介目錄

全球機器學習軟體市場預計在2024年至2029年間成長142.165億美元,預測期內複合年成長率(CAGR)為18.3%。本報告對全球機器學習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巨量資料激增和對進階分析的需求、雲端運算和可擴展機器學習平台的興起,以及人工智慧的廣泛應用和自動化趨勢。

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。

市場覆蓋範圍
基準年 2025
年末 2029
預測期 2025-2029
成長勢頭 加速度
同比 16.5%
複合年成長率 18.3%
增量 142.165億美元

該研究指出,生成式人工智慧在各行業的廣泛應用是未來幾年推動全球機器學習軟體市場成長的關鍵因素之一,而自動化機器學習的興起和對可解釋人工智慧的需求將創造巨大的市場需求。

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年全球機器學習軟體市場
  • 2019-2023年部署細分市場分析
  • 應用細分市場分析 2019-2023
  • 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. 依部署方式進行市場區隔

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

第8章 按應用進行市場細分

  • 比較:透過應用
  • 預測分析
  • 自然語言處理(NLP)
  • 電腦視覺
  • 異常檢測
  • 語音辨識
  • 按應用分類的市場機會

9. 按最終用戶分類的市場細分

  • 比較:按最終用戶
  • 資訊科技與通訊
  • 金融
  • 零售
  • 製造業
  • 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
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 荷蘭
    • 西班牙
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 中東和非洲
    • 土耳其
    • 南非
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 以色列
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
  • 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
  • Altair Engineering Inc.
  • Alteryx Inc.
  • Amazon Web Services Inc.
  • Anaconda Inc.
  • Databricks Inc.
  • DataRobot Inc.
  • Google DeepMind
  • H2O.ai Inc.
  • IBM Corp.
  • KNIME AG
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • Palantir Technologies Inc.
  • SAS Institute Inc.

第15章附錄

簡介目錄
Product Code: IRTNTR81087

The global machine learning software market is forecasted to grow by USD 14216.5 mn during 2024-2029, accelerating at a CAGR of 18.3% during the forecast period. The report on the global machine learning 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 proliferation of big data and imperative for advanced analytics, ascendancy of cloud computing and scalable machine learning platforms, pervasive integration of artificial intelligence and quest for automation.

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 Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202516.5%
CAGR18.3%
Incremental Value$14216.5 mn

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

By Deployment

  • Cloud-based
  • On-premises
  • Hybrid

By Application

  • Predictive analytics
  • NLP
  • Computer vision
  • Anomaly detection
  • Speech recognition

By End-User

  • Information technology and telecommunications
  • Finance
  • Retail
  • Manufacturing
  • Others

Geography

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

This study identifies the proliferation of generative AI across industries as one of the prime reasons driving the global machine learning software market growth during the next few years. Also, ascendancy of automated machine learning and imperative of explainable ai will lead to sizable demand in the market.

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

  • Global machine learning software market sizing
  • Global machine learning software market forecast
  • Global machine learning 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 machine learning software market vendors that include Altair Engineering Inc., Alteryx Inc., Amazon Web Services Inc., Anaconda Inc., BenevolentAI, C3.ai Inc., Cerebras Systems Inc., Databricks Inc., DataRobot Inc., Google DeepMind, Graphcore Ltd., H2O.ai Inc., IBM Corp., KNIME AG, Microsoft Corp., NVIDIA Corp., OpenAI, Oracle Corp., Palantir Technologies Inc., SAS Institute Inc.. Also, the global machine learning 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 Deployment
    • Executive Summary - Chart on Market Segmentation by Application
    • 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 Machine Learning Software Market 2019 - 2023
    • Historic Market Size - Data Table on Global Machine Learning Software Market 2019 - 2023 ($ million)
  • 5.2 Deployment segment analysis 2019 - 2023
    • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
  • 5.3 Application segment analysis 2019 - 2023
    • Historic Market Size - Application 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 Deployment

  • 7.1 Market segments
  • 7.2 Comparison by Deployment
  • 7.3 Cloud-based - Market size and forecast 2024-2029
  • 7.4 On-premises - Market size and forecast 2024-2029
  • 7.5 Hybrid - Market size and forecast 2024-2029
  • 7.6 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

8 Market Segmentation by Application

  • 8.1 Market segments
  • 8.2 Comparison by Application
  • 8.3 Predictive analytics - Market size and forecast 2024-2029
  • 8.4 NLP - Market size and forecast 2024-2029
  • 8.5 Computer vision - Market size and forecast 2024-2029
  • 8.6 Anomaly detection - Market size and forecast 2024-2029
  • 8.7 Speech recognition - Market size and forecast 2024-2029
  • 8.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

9 Market Segmentation by End-user

  • 9.1 Market segments
  • 9.2 Comparison by End-user
  • 9.3 Information technology and telecommunications - Market size and forecast 2024-2029
  • 9.4 Finance - Market size and forecast 2024-2029
  • 9.5 Retail - Market size and forecast 2024-2029
  • 9.6 Manufacturing - 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 Europe - Market size and forecast 2024-2029
    • 11.4.1 UK - Market size and forecast 2024-2029
    • 11.4.2 Germany - Market size and forecast 2024-2029
    • 11.4.3 France - Market size and forecast 2024-2029
    • 11.4.4 Italy - Market size and forecast 2024-2029
    • 11.4.5 The Netherlands - Market size and forecast 2024-2029
    • 11.4.6 Spain - Market size and forecast 2024-2029
  • 11.5 APAC - Market size and forecast 2024-2029
    • 11.5.1 China - Market size and forecast 2024-2029
    • 11.5.2 Japan - Market size and forecast 2024-2029
    • 11.5.3 India - Market size and forecast 2024-2029
    • 11.5.4 South Korea - Market size and forecast 2024-2029
    • 11.5.5 Australia - Market size and forecast 2024-2029
    • 11.5.6 Indonesia - Market size and forecast 2024-2029
  • 11.6 Middle East and Africa - Market size and forecast 2024-2029
    • 11.6.1 Turkey - Market size and forecast 2024-2029
    • 11.6.2 South Africa - Market size and forecast 2024-2029
    • 11.6.3 UAE - Market size and forecast 2024-2029
    • 11.6.4 Saudi Arabia - Market size and forecast 2024-2029
    • 11.6.5 Israel - Market size and forecast 2024-2029
  • 11.7 South America - Market size and forecast 2024-2029
    • 11.7.1 Brazil - Market size and forecast 2024-2029
    • 11.7.2 Argentina - Market size and forecast 2024-2029
    • 11.7.3 Colombia - 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
    • Proliferation of big data and imperative for advanced analytics
    • Ascendancy of cloud computing and scalable machine learning platforms
    • Pervasive integration of artificial intelligence and quest for automation
  • 12.2 Market challenges
    • Data privacy and security compliance
    • Addressing algorithmic bias and ensuring fairness
    • Shortage of skilled machine learning professionals
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Proliferation of generative AI across industries
    • Ascendancy of automated machine learning
    • Imperative of explainable AI

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 Altair Engineering Inc.
    • Altair Engineering Inc. - Overview
    • Altair Engineering Inc. - Business segments
    • Altair Engineering Inc. - Key news
    • Altair Engineering Inc. - Key offerings
    • Altair Engineering Inc. - Segment focus
    • SWOT
  • 14.5 Alteryx Inc.
    • Alteryx Inc. - Overview
    • Alteryx Inc. - Product / Service
    • Alteryx Inc. - Key news
    • Alteryx Inc. - Key offerings
    • SWOT
  • 14.6 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
  • 14.7 Anaconda Inc.
    • Anaconda Inc. - Overview
    • Anaconda Inc. - Product / Service
    • Anaconda Inc. - Key offerings
    • SWOT
  • 14.8 Databricks Inc.
    • Databricks Inc. - Overview
    • Databricks Inc. - Product / Service
    • Databricks Inc. - Key offerings
    • SWOT
  • 14.9 DataRobot Inc.
    • DataRobot Inc. - Overview
    • DataRobot Inc. - Product / Service
    • DataRobot Inc. - Key offerings
    • SWOT
  • 14.10 Google DeepMind
    • Google DeepMind - Overview
    • Google DeepMind - Product / Service
    • Google DeepMind - Key offerings
    • SWOT
  • 14.11 H2O.ai Inc.
    • H2O.ai Inc. - Overview
    • H2O.ai Inc. - Product / Service
    • H2O.ai Inc. - Key offerings
    • SWOT
  • 14.12 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.13 KNIME AG
    • KNIME AG - Overview
    • KNIME AG - Product / Service
    • KNIME AG - Key offerings
    • SWOT
  • 14.14 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.15 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 14.16 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 14.17 Palantir Technologies Inc.
    • Palantir Technologies Inc. - Overview
    • Palantir Technologies Inc. - Product / Service
    • Palantir Technologies Inc. - Key offerings
    • SWOT
  • 14.18 SAS Institute Inc.
    • SAS Institute Inc. - Overview
    • SAS Institute Inc. - Product / Service
    • SAS Institute Inc. - Key news
    • SAS Institute Inc. - 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