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市场调查报告书
商品编码
1847605

2025年全球机器学习市场报告

Machine Learning Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，机器学习市场呈指数级增长，从2024年的688.8亿美元增长到2025年的937.3亿美元，复合年增长率高达36.1%。这段历史时期的成长可归因于演算法的进步、资料可用性的提升、运算能力的提升、产业的采用和整合，以及物联网和边缘运算的融合。

预计未来几年机器学习市场将呈指数级增长，到2029年将达到3,258亿美元，复合年增长率为36.5%。预测期内的成长主要源于对可解释性和伦理人工智慧的担忧、资料的指数级增长、边缘运算的扩展、人工智慧和机器学习日益融合以及全球对预测分析的需求。预测期内的主要趋势包括持续的演算法创新、巨量资料技术的兴起、自动化机器学习 (AutoML)、联邦学习、机器学习与其他技术的融合以及特定产业的机器学习解决方案。

机器学习是人工智慧的一个分支，其核心在于创建演算法，使电脑能够从资料中学习、识别模式，并在无需明确编程的情况下产生预测和决策。其核心目标是开发强调自主学习和适应能力的模型，并随着接触更多资讯而不断提升其表现。

机器学习的主要组成部分包括硬体和软体。硬体工具涵盖针对建筑、製造和电子等不同行业中的特定任务或功能而客製化的实体设备或装置。这些工具有助于处理大型资料集和复杂的神经网路架构，从而提高机器学习应用程式的效能和可扩展性。机器学习既可以部署在云端，也可以部署在本地，以满足大型企业和中小型企业的需求。它广泛应用于各个领域，包括医疗保健、零售、银行、金融服务和保险 (BFSI)、製造、IT 和通讯、能源和公共、农业、汽车以及行销和广告。

2025 年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格上涨的压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球 IT 供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

机器学习市场研究报告是商业研究公司最新报告系列的一部分，该系列提供机器学习市场统计数据，例如全球市场规模、区域份额、机器学习市场份额的竞争对手、详细的机器学习细分市场、市场趋势以及机器学习行业的商机。这份机器学习市场研究报告对该行业的现状和未来情况进行了详细分析，为您提供所需的一切资讯的完整观点。

未来五年36.5%的成长预测比我们先前的预测略有下降0.2%。这一下降主要源自于美国与其他国家之间关税的影响。由于进口GPU加速器和AI训练基础设施的关税，机器学习应用的运算速度可能下降，成本可能上升。由于互惠关税以及贸易紧张局势和限制措施升级对全球经济和贸易的负面影响，这种影响也将更加广泛。

预计云端基础平台的日益普及将推动机器学习市场的成长。云端基础平台透过网际网路提供运算服务和资源，使用户无需实体基础设施或硬体即可存取应用程式、储存和处理能力。这些平台不仅允许多个用户同时处理计划，从而促进协作，还能与其他云端服务无缝整合。据英国政府机构Ofcom称，预计2022年，英国云端基础设施市场规模将达到约70亿至75亿英镑。此外，41.4%的全球高科技公司和商业领袖计划在2023年增加对云端基础服务和产品的投资，凸显了云端技术在推动机器学习市场成长方面发挥的关键作用。

机器学习市场的主要参与者正专注于自动化机器学习工具，以简化和自动化机器学习过程。这些工具旨在自动化模型选择、训练和配置，使机器学习专业知识有限的个人和组织也可以使用它们。总部位于新加坡的金融科技公司 AND Solutions Pte Ltd. 于 2023 年 4 月推出其 NIKO AutoML 平台，体现了这一趋势。 NIKO AutoML 是一种创新的机器学习工具，旨在简化和加速预测模型的建立。该平台提供用户友好的介面，指导用户完成流程的每个步骤，并与传统方法相比在很短的时间内提供最佳结果。 NIKO AutoML 的主要优势包括快速且准确的模型建立、简化的工作流程、提高生产力和成本效益。

2023年5月，德国半导体製造商英飞凌科技股份公司迈出策略性一步，收购了Imagimob AB，收购金额未揭露。此次收购巩固了英飞凌科技股份公司作为机器学习解决方案领先供应商的地位，并显着扩展了其人工智慧 (AI) 产品组合。 Imagimob AB总部位于瑞典，专注于为边缘设备提供机器学习模型开发平台，以因应机器学习产业边缘运算日益增长的趋势。

机器学习市场报告中的主要企业包括Google公司、微软公司、亚马逊网路服务公司、国际商业机器公司、SAP SE、惠普企业发展有限公司、百度公司、英特尔公司、SAS 研究所、Fair Isaac 公司、Alteryx、Dataiku、H2o.AI、KNIME.com AG、Alpine DataLuPeltarion、Rapid Analytics、Peltar、Rapid。

2024年，北美将成为机器学习市场最大的地区。预计欧洲将成为预测期内成长最快的地区。机器学习市场报告涵盖以下地区：亚太地区、西欧、中欧和东欧、北美、南美以及中东和非洲。

机器学习市场报告涵盖的国家有澳洲、巴西、中国、法国、德国、印度、印尼、日本、俄罗斯、韩国、英国、美国、加拿大、义大利和西班牙。

机器学习市场涵盖营业单位透过预测分析、自然语言处理、影像和影片辨识、语音辨识、建议系统和异常检测产生的收益。市场价值还包括服务供应商销售或包含在其服务产品中的相关产品的价值。机器学习市场包括图形处理单元 (GPU)、专用积体电路、边缘 AI 处理器等的销售。该市场的价值是指“出厂价”，即商品製造商或创造者销售给其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的商品价值。该市场中的商品价值还包括商品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习：PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球机器学习市场：成长率分析
  • 全球机器学习市场表现：规模与成长，2019-2024
  • 全球机器学习市场预测：2024-2029 年及 2034 年规模与成长
  • 全球机器学习：总潜在市场（TAM）

第六章 市场细分

  • 全球机器学习市场（按组成部分）：展望、表现和预测（2019-2024 年、2024-2029 年及 2034 年）
  • 硬体
  • 软体
  • 全球机器学习市场：按部署、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 云
  • 本地部署
  • 全球机器学习市场：按类型、性能和预测，2019-2024 年、2024-2029 年、2034 年
  • 大公司
  • 小型企业
  • 全球机器学习市场：按最终用户、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 卫生保健
  • 零售
  • BFSI
  • 製造业
  • 资讯科技和通讯
  • 能源和公共产业
  • 农业
  • 车
  • 行销和广告
  • 全球机器学习市场：按硬体（类型）细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 图形处理单元（GPU）
  • 专用积体电路（ASIC）
  • 现场可程式闸阵列（FPGA）
  • 中央处理器（CPU）
  • 记忆体和储存设备
  • 全球机器学习市场：依软体类型细分，实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 机器学习框架和函式库
  • 资料处理与分析工具
  • 模型开发平台
  • 部署和整合软体
  • 预先建置的 AI 解决方案

第七章 区域和国家分析

  • 全球机器学习市场：区域表现与预测（2019-2024 年、2024-2029 年及 2034 年）
  • 全球机器学习市场：依国家、表现及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 机器学习市场：竞争格局
  • 机器学习市场：公司简介
    • Google Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • SAP SE Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Hewlett Packard Enterprise Development LP
  • Baidu Inc.
  • Intel Corporation
  • SAS Institute Inc.
  • Fair Isaac Corporation
  • Alteryx
  • Dataiku
  • H2o.AI
  • KNIME.com AG
  • Alpine Data
  • Peltarion
  • RapidMiner Inc.
  • BigML Inc.
  • Luminoso Technologies Inc.
  • Turing Analytics

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029 年机器学习市场：提供新机会的国家
  • 2029 年机器学习市场：细分领域带来新机会
  • 2029 年机器学习市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
Product Code: r28442u

Machine learning is a subset of artificial intelligence that revolves around the creation of algorithms enabling computers to learn from data, recognize patterns, and generate predictions or decisions without explicit programming. The core objective is to develop models that enhance their performance over time through exposure to additional information, emphasizing the capacity for autonomous learning and adaptation.

The primary components of machine learning include hardware and software. Hardware tools encompass physical devices and equipment tailored for specific tasks or functions in diverse fields such as construction, manufacturing, or electronics. These tools facilitate the processing of large datasets and complex neural network architectures, thereby improving the performance and scalability of machine learning applications. Machine learning is deployed both in the cloud and on-premises, catering to the needs of large enterprises, small and medium enterprises, and is utilized across various sectors, including healthcare, retail, BFSI (Banking, Financial Services, and Insurance), manufacturing, IT & telecom, energy & utilities, agriculture, automotive, as well as marketing and advertising.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The machine learning market research report is one of a series of new reports from The Business Research Company that provides machine learning market statistics, including machine learning industry global market size, regional shares, competitors with a machine learning market share, detailed machine learning market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning industry. This machine learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning market size has grown exponentially in recent years. It will grow from $68.88 billion in 2024 to $93.73 billion in 2025 at a compound annual growth rate (CAGR) of 36.1%. The growth in the historic period can be attributed to advancements in algorithms, increasing data availability, computing power enhancement, industry adoption and integration, iot and edge computing integration.

The machine learning market size is expected to see exponential growth in the next few years. It will grow to $325.8 billion in 2029 at a compound annual growth rate (CAGR) of 36.5%. The growth in the forecast period can be attributed to explainability and ethical ai concerns, exponential data growth, expansion of edge computing, growing integration of ai and ml, global demand for predictive analytics. Major trends in the forecast period include continued algorithmic innovations, rise of big data technology, automated machine learning (automl), federated learning, integration of ml with other technologies, industry-specific ml solutions.

The forecast of 36.5% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Machine learning applications may face computational slowdowns and cost hikes due to tariffs on imported GPU accelerators and AI training infrastructure. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing adoption of cloud-based platforms is expected to be a driving force behind the growth of the machine learning market. Cloud-based platforms, delivering computing services and resources over the internet, provide users with access to applications, storage, and processing power without the need for physical infrastructure or hardware. These platforms not only facilitate collaboration by allowing multiple users to work on projects simultaneously but also enable seamless integration with other cloud services. According to Ofcom, a UK-based Government office, the UK's cloud infrastructure market was valued between approximately £7.0 billion to £7.5 billion in 2022. Moreover, in 2023, 41.4% of global tech and business leaders are planning to increase their investment in cloud-based services and products, highlighting the significant role of cloud adoption in driving the growth of the machine learning market.

Key players in the machine learning market are directing their efforts toward automated machine learning tools to streamline and automate the machine learning process. These tools aim to automate model selection, training, and deployment, making machine learning more accessible to individuals and organizations with limited expertise in the field. AND Solutions Pte Ltd., a Singapore-based fintech company, exemplifies this trend with the launch of the NIKO AutoML platform in April 2023. NIKO AutoML is an innovative machine-learning tool designed to simplify and expedite the creation of prediction models. The platform offers a user-friendly interface, guiding users through each stage of the process, and provides optimal results in a fraction of the time compared to traditional approaches. Key benefits of NIKO AutoML include fast and accurate model creation, streamlined workflows, increased productivity, and cost-effectiveness.

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, made a strategic move by acquiring Imagimob AB for an undisclosed amount. This acquisition strengthens Infineon Technologies AG's position as a leading machine learning solution provider and significantly expands its portfolio of artificial intelligence (AI) products. Imagimob AB, based in Sweden, specializes in providing a platform for developing machine learning models for edge devices, aligning with the growing trend of edge computing in the machine learning landscape.

Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics

North America was the largest region in the machine learning market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The machine learning market includes revenues earned by entities by predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems and anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning market consists of sales of graphics processing units (GPUs), application-specific integrated circuits,edge AI processors and others. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The machine learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Component Outlook: Hardware; Software
  • 2) By Deployment: Cloud; On-Premises
  • 3) By Type: Large Enterprises; Small And Medium Enterprise
  • 4) By End-User: Healthcare; Retail; BFSI; Manufacturing; IT And Telecom; Energy And Utilities; Agriculture; Automotive; Marketing And Advertising
  • Subsegments:
  • 1) By Hardware: Graphics Processing Units (GPUs); Application-Specific Integrated Circuits (ASICs); Field Programmable Gate Arrays (FPGAs); Central Processing Units (CPUs); Memory And Storage Devices
  • 2) By Software: Machine Learning Frameworks And Libraries; Data Processing And Analytics Tools; Model Development Platforms; Deployment And Integration Software; Pre-Built AI Solutions
  • Companies Mentioned: Google Inc.; Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; SAP SE; Hewlett Packard Enterprise Development LP; Baidu Inc.; Intel Corporation; SAS Institute Inc.; Fair Isaac Corporation; Alteryx; Dataiku; H2o.AI; KNIME.com AG; Alpine Data; Peltarion; RapidMiner Inc.; BigML Inc.; Luminoso Technologies Inc.; Turing Analytics
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Machine Learning Market Characteristics

3. Machine Learning Market Trends And Strategies

4. Machine Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Machine Learning Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Machine Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Machine Learning Market Growth Rate Analysis
  • 5.4. Global Machine Learning Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Machine Learning Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Machine Learning Total Addressable Market (TAM)

6. Machine Learning Market Segmentation

  • 6.1. Global Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hardware
  • Software
  • 6.2. Global Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premises
  • 6.3. Global Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Large Enterprises
  • Small And Medium Enterprise
  • 6.4. Global Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Healthcare
  • Retail
  • BFSI
  • Manufacturing
  • IT And Telecom
  • Energy And Utilities
  • Agriculture
  • Automotive
  • Marketing And Advertising
  • 6.5. Global Machine Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Graphics Processing Units (GPUs)
  • Application-Specific Integrated Circuits (ASICs)
  • Field Programmable Gate Arrays (FPGAs)
  • Central Processing Units (CPUs)
  • Memory And Storage Devices
  • 6.6. Global Machine Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Frameworks And Libraries
  • Data Processing And Analytics Tools
  • Model Development Platforms
  • Deployment And Integration Software
  • Pre-Built AI Solutions

7. Machine Learning Market Regional And Country Analysis

  • 7.1. Global Machine Learning Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Machine Learning Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning Market

  • 8.1. Asia-Pacific Machine Learning Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Market

  • 9.1. China Machine Learning Market Overview
  • 9.2. China Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Market

  • 10.1. India Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Market

  • 11.1. Japan Machine Learning Market Overview
  • 11.2. Japan Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Market

  • 12.1. Australia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Market

  • 13.1. Indonesia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Market

  • 14.1. South Korea Machine Learning Market Overview
  • 14.2. South Korea Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Market

  • 15.1. Western Europe Machine Learning Market Overview
  • 15.2. Western Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Market

  • 16.1. UK Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Market

  • 17.1. Germany Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Market

  • 18.1. France Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Market

  • 19.1. Italy Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Market

  • 20.1. Spain Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Market

  • 21.1. Eastern Europe Machine Learning Market Overview
  • 21.2. Eastern Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Market

  • 22.1. Russia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Market

  • 23.1. North America Machine Learning Market Overview
  • 23.2. North America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Market

  • 24.1. USA Machine Learning Market Overview
  • 24.2. USA Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Market

  • 25.1. Canada Machine Learning Market Overview
  • 25.2. Canada Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Market

  • 26.1. South America Machine Learning Market Overview
  • 26.2. South America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Market

  • 27.1. Brazil Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Market

  • 28.1. Middle East Machine Learning Market Overview
  • 28.2. Middle East Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Market

  • 29.1. Africa Machine Learning Market Overview
  • 29.2. Africa Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Market Competitive Landscape And Company Profiles

  • 30.1. Machine Learning Market Competitive Landscape
  • 30.2. Machine Learning Market Company Profiles
    • 30.2.1. Google Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Market Other Major And Innovative Companies

  • 31.1. Hewlett Packard Enterprise Development LP
  • 31.2. Baidu Inc.
  • 31.3. Intel Corporation
  • 31.4. SAS Institute Inc.
  • 31.5. Fair Isaac Corporation
  • 31.6. Alteryx
  • 31.7. Dataiku
  • 31.8. H2o.AI
  • 31.9. KNIME.com AG
  • 31.10. Alpine Data
  • 31.11. Peltarion
  • 31.12. RapidMiner Inc.
  • 31.13. BigML Inc.
  • 31.14. Luminoso Technologies Inc.
  • 31.15. Turing Analytics

32. Global Machine Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Market

34. Recent Developments In The Machine Learning Market

35. Machine Learning Market High Potential Countries, Segments and Strategies

  • 35.1 Machine Learning Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer