2025-2029年全球机器学习软体市场
市场调查报告书
商品编码
1915692

2025-2029年全球机器学习软体市场

Global Machine Learning Software Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 318 Pages | 订单完成后即时交付

价格
简介目录

全球机器学习软体市场预计在2024年至2029年间成长142.165亿美元,预测期内复合年增长率(CAGR)为18.3%。本报告对全球机器学习软体市场进行了全面分析,包括市场规模和预测、趋势、成长要素和挑战,以及对约25家公司的供应商分析。

本报告对当前市场状况、最新趋势和驱动因素以及整体市场环境进行了最新分析。市场成长的驱动因素包括巨量资料激增和对进阶分析的需求、云端运算和可扩展机器学习平台的兴起,以及人工智慧的广泛应用和自动化趋势。

本研究采用客观的方法,结合一手和二手讯息,包括来自主要行业相关人员的意见。报告包含全面的市场规模数据、区域細項分析、供应商格局以及对主要企业的分析。报告提供历史数据和预测数据。

市场覆盖范围
基准年 2025
年末 2029
预测期 2025-2029
成长势头 加速度
同比 16.5%
复合年增长率 18.3%
增量 142.165亿美元

该研究指出,生成式人工智慧在各行业的广泛应用是未来几年推动全球机器学习软体市场成长的关键因素之一,而自动化机器学习的兴起和对可解释人工智慧的需求将创造巨大的市场需求。

目录

第一章执行摘要

第二章 Technavio 分析

  • 价格、生命週期、顾客购买篮、采用率和购买标准分析
  • 投入与差异化因素的重要性
  • 混淆来源
  • 驱动因素和挑战的影响

第三章 市场情势

  • 市场生态系统
  • 市场特征
  • 价值链分析

第四章 市场规模

  • 市场定义
  • 市场区隔分析
  • 2024年市场规模
  • 2024-2029年市场展望

第五章 市场规模表现

  • 2019-2023年全球机器学习软体市场
  • 2019-2023年部署细分市场分析
  • 应用细分市场分析 2019-2023
  • 2019-2023年最终用户细分市场分析
  • 2019-2023年区域细分市场分析
  • 2019-2023年国家细分市场分析

第六章五力分析

  • 五力分析概述
  • 买方的议价能力
  • 供应商的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争威胁
  • 市场状况

7. 依部署方式进行市场区隔

  • 比较:依部署方式
  • 基于云端的
  • 本地部署
  • 杂交种
  • 按部署方式分類的市场机会

第八章 按应用进行市场细分

  • 比较:透过应用
  • 预测分析
  • 自然语言处理(NLP)
  • 电脑视觉
  • 异常检测
  • 语音辨识
  • 按应用分類的市场机会

9. 按最终用户分類的市场细分

  • 比较:按最终用户
  • 资讯科技与通讯
  • 金融
  • 零售
  • 製造业
  • 其他的
  • 按最终用户分類的市场机会

第十章 客户情况

第十一章 区域情势

  • 区域细分
  • 区域比较
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 荷兰
    • 西班牙
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
  • 中东和非洲
    • 土耳其
    • 南非
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 以色列
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
  • 各区域的市场机会

第十二章:驱动因素、挑战与机会

  • 市场驱动因素
  • 市场挑战
  • 驱动因素和挑战的影响
  • 市场机会

第十三章 竞争格局

  • 概述
  • 竞争格局
  • 令人困惑的局面
  • 产业风险

第十四章 竞争分析

  • 公司简介
  • 企业排名指数
  • 公司市场定位
  • 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.

第十五章附录

简介目录
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