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市场调查报告书
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1847607

2025年全球机器学习即服务（MLaaS）市场报告

Machine Learning As A Service (MLaaS) 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，机器学习即服务（MLaaS）市场呈指数级增长，从2024年的578.8亿美元增长到2025年的792.2亿美元，复合年增长率达36.9%。这一增长可归因于巨量资料的发展、机器学习的日益普及、深度学习的进步、资料科学和人工智慧的兴起，以及人们对预测分析认识的不断提高。

预计未来几年机器学习即服务 (MLaaS) 市场将呈指数级增长，到 2029 年市场规模将达到 2,780 亿美元，复合年增长率 (CAGR) 为 36.9%。预测期内的成长可归因于产业专用的解决方案的增加、可解释人工智慧的兴起、自主系统的扩展、混合云端部署以及安全性和隐私功能的增强。预测期内的关键趋势包括产业特定机器学习平台、人工智慧自动化、机器学习的普及化、协作式机器学习和持续学习系统。

未来五年36.9%的成长率预测较我们先前的预测略微下调了0.1%。这一下调主要归因于美国与其他国家之间的关税影响。在这种服务模式下，跨境人工智慧运算服务和储存平台的关税可能会造成价格压力，并限制我们全球整合的能力。此外，相互关税以及日益加剧的贸易紧张局势和限制措施对全球经济和贸易的负面影响也将更为广泛。

预计未来云端技术的日益整合将推动机器学习即服务 (MLaaS) 市场的成长。云端技术融合包括将各种云端基础的系统作为一个整体进行集成，以及将云端基础的系统与本地系统进行集成。透过 MLaaS，云端技术为使用者提供易于存取、可扩展且经济高效的机器学习功能。这使得使用者无需具备丰富的机器学习或基础架构管理专业知识，即可将预先训练模型和工具应用于各种应用程式。例如，欧盟统计局 (Eurostat) 2023 年 12 月发布的一份报告显示，42.5% 的欧盟企业购买云端处理服务主要用于电子邮件、文件储存和办公室软体，较 2021 年增长了 4.2 个百分点。此外，《奥古斯塔自由报》(Augusta Free Press) 2022 年 12 月发布的数据显示，全球数位转型支出达到约 1.85 兆美元，较前一年成长 16%。因此，云端技术的日益整合正在推动 MLaaS 市场的成长。

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、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球机器学习即服务 (MLaaS)：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球机器学习即服务 (MLaaS) 市场：成长率分析
  • 全球机器学习即服务 (MLaaS) 市场表现：规模与成长，2019-2024 年
  • 全球机器学习即服务 (MLaaS) 市场预测：规模与成长，2024-2029 年，2034 年
  • 全球机器学习即服务 (MLaaS)：潜在市场规模 (TAM)

第六章 市场细分

  • 全球机器学习即服务 (MLaaS) 市场按组件、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 软体工具
  • 服务
  • 全球机器学习即服务 (MLaaS) 市场按组织规模、绩效和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球机器学习即服务 (MLaaS) 市场按应用、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 行销与广告
  • 预测性维护
  • 自动网路管理
  • 诈骗侦测与风险管理
  • 其他用途
  • 全球机器学习即服务 (MLaaS) 市场按最终用户、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 银行、金融服务和保险（BFSI）
  • 资讯科技与通讯
  • 车
  • 卫生保健
  • 航太与国防
  • 零售
  • 政府
  • 其他最终用户
  • 全球机器学习即服务 (MLaaS) 市场：按软体工具（类型）、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 资料预处理工具
  • 机器学习演算法和框架
  • 模型训练和检验工具
  • 部署和监控工具
  • 视觉化和报告工具
  • 全球机器学习即服务 (MLaaS) 市场：按服务类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询和顾问服务
  • 实施和整合服务
  • 客製化模型开发服务
  • 培训和支援服务
  • 託管服务和维护

第七章 区域和国家分析

  • 全球机器学习即服务 (MLaaS) 市场：区域表现与预测，2019-2024 年、2024-2029 年、2034 年
  • 全球机器学习即服务 (MLaaS) 市场：国家/地区、绩效与预测，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

第十八章：法国市场

第十九章：义大利市场

第二十章：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

第三十章：竞争格局与公司概况

  • 机器学习即服务 (MLaaS) 市场：竞争格局
  • 机器学习即服务 (MLaaS) 市场：公司概况
    • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Meta Platforms Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • International Business Machines Corporation
  • Oracle Corporation
  • Mitsubishi Electric Corporation
  • SAP SE
  • Hewlett Packard Enterprise Company
  • NVIDIA Corporation
  • Tata Consultancy Services Limited
  • Infosys Limited
  • Wipro Ltd.
  • Fair Isaac Corporation
  • Databricks Inc.
  • TIBCO Software Inc.
  • Cyient Ltd.
  • Dataiku Ltd.
  • H2O.ai Inc.

第32章 全球市场竞争基准化分析与仪錶板

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年机器学习即服务（MLaaS）市场：提供新机会的国家
  • 2029年机器学习即服务（MLaaS）市场：提供新机会的细分市场
  • 机器学习即服务 (MLaaS) 市场 2029 年：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: r28445u

Machine learning as a service (MLaaS) is a cloud-based system that offers users access to tools and resources for developing, deploying, and managing machine learning (ML) models. It enables individuals and organizations to leverage ML capabilities without needing extensive expertise in algorithms, programming, or infrastructure.

The key components of MLaaS are software tools and services. Software tools are cloud-based platforms that provide ML tools and services to support the daily work of data scientists and data engineers. MLaaS is used by organizations of all sizes, including small and medium enterprises (SMEs) and large enterprises. It is employed in various applications such as marketing and advertisement, predictive maintenance, automated network management, fraud detection, risk management, sentiment analysis, and more. MLaaS finds application in industries such as banking, financial services and insurance (BFSI), information technology and telecom, automotive, healthcare, aerospace & defense, retail, government, and others.

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

The machine learning as a service (mlaas) market size has grown exponentially in recent years. It will grow from $57.88 billion in 2024 to $79.22 billion in 2025 at a compound annual growth rate (CAGR) of 36.9%. The growth in the historic period can be attributed to big data growth, increased adoption of machine learning, advancements in deep learning, rise of data science and AI, and increased awareness of predictive analytics.

The machine learning as a service (mlaas) market size is expected to see exponential growth in the next few years. It will grow to $278 billion in 2029 at a compound annual growth rate (CAGR) of 36.9%. The growth in the forecast period can be attributed to increasing industry-specific solutions, rise of explainable ai, expansion of autonomous systems, hybrid cloud deployments, and enhanced security and privacy features. Major trends in the forecast period include vertical-specific machine learning platforms, AI-enhanced automation, democratization of machine learning, collaborative machine learning, and continuous learning systems.

The forecast of 36.9% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This service model may see pricing pressures and limited global integration capabilities due to tariffs on cross-border AI compute services and storage platforms. 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 integration of cloud technologies is expected to drive the growth of the machine learning as a service (MLaaS) market in the future. Cloud technology integration involves connecting various cloud-based systems into a cohesive whole or linking cloud-based systems with on-premises systems. Cloud technologies leverage MLaaS to provide users with accessible, scalable, and cost-effective machine learning capabilities. This enables users to utilize pre-trained models and tools for various applications without requiring extensive expertise in machine learning or infrastructure management. For example, in December 2023, Eurostat reported that 42.5% of EU enterprises purchased cloud computing services, primarily for email, file storage, and office software, marking a 4.2 percentage point increase from 2021. Additionally, data from Augusta Free Press in December 2022 indicated that global digital transformation spending reached approximately $1.85 trillion, a 16% increase from the previous year. Consequently, the increasing integration of cloud technologies is propelling the growth of the MLaaS market.

Major companies in the machine learning as a service (MLaaS) market are innovating by offering services such as Kubeflow as a service to democratize AI development. Kubeflow-as-a-Service (KFaaS) is a managed environment that enables users to utilize Kubeflow's capabilities for machine learning (ML) projects without managing the underlying infrastructure. For example, in February 2023, Civo, a UK-based web hosting company, introduced Kubeflow as a service. With a fully managed development environmentsuch as Civo KFaaS, users can access the service provider's compute capabilities without dealing with infrastructure management. KFaaS streamlines ML project workflows by integrating with popular ML tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks.

In March 2024, Cisco Systems, Inc., a U.S.-based technology company, acquired Splunk Inc. for around $28 billion. This acquisition strengthens Cisco's data analytics and cybersecurity capabilities, enhancing its ability to provide real-time network visibility and threat detection. By integrating Splunk's expertise, Cisco aims to advance its cybersecurity solutions, solidify its market position, and offer customers powerful tools for data management and analysis. Splunk Inc., also based in the U.S., specializes in software that utilizes machine learning for data analytics.

Major companies operating in the machine learning as a service (MLaaS) market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Meta Platforms Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Tata Consultancy Services Limited, Infosys Limited, Wipro Ltd., Fair Isaac Corporation, Databricks Inc., TIBCO Software Inc., Cyient Ltd., Dataiku Ltd., H2O.ai Inc., Iflowsoft Solutions Inc., BigML Inc., AscentCore, MonkeyLearn Inc., Sift Science Inc., Yottamine Analytics LLC

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

The countries covered in the machine learning as a service (mlaas) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning as a service (MLaaS) market includes revenues earned by entities by providing services such as predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems, and anomaly detection services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The machine learning as a service (MLaaS) market consists of sales of central processing units (CPUs), graphic processing units (GPUs), and field-programmable gate arrays (FPGAs). 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 As A Service (MLaaS) 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 as a service (mlaas) 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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  • Create regional and country strategies on the basis of local data and analysis.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
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  • 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 as a service (mlaas) ? 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 as a service (mlaas) 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: Software Tools; Services
  • 2) By Organization Size: Small And Medium Enterprises; Large Enterprises
  • 3) By Application: Marketing And Advertisement; Predictive Maintenance; Automated Network Management; Fraud Detection And Risk Management; Other Applications
  • 4) End User: BFSI; IT And Telecom; Automotive; Healthcare; Aerospace And Defense; Retail; Government; Other End User
  • Subsegments:
  • 1) By Software Tools: Data Preprocessing Tools; Machine Learning Algorithms And Frameworks; Model Training And Validation Tools; Deployment And Monitoring Tools; Visualization And Reporting Tools
  • 2) By Services: Consulting And Advisory Services; Implementation And Integration Services; Custom Model Development Services; Training And Support Services; Managed Services And Maintenance
  • Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Meta Platforms Inc.; Intel Corporation ; International Business Machines Corporation; Oracle Corporation; Mitsubishi Electric Corporation; SAP SE; Hewlett Packard Enterprise Company; NVIDIA Corporation; Tata Consultancy Services Limited; Infosys Limited; Wipro Ltd.; Fair Isaac Corporation; Databricks Inc.; TIBCO Software Inc.; Cyient Ltd.; Dataiku Ltd.; H2O.ai Inc.; Iflowsoft Solutions Inc.; BigML Inc.; AscentCore; MonkeyLearn Inc.; Sift Science Inc.; Yottamine Analytics LLC
  • 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 As A Service (MLaaS) Market Characteristics

3. Machine Learning As A Service (MLaaS) Market Trends And Strategies

4. Machine Learning As A Service (MLaaS) 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 As A Service (MLaaS) Growth Analysis And Strategic Analysis Framework

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

6. Machine Learning As A Service (MLaaS) Market Segmentation

  • 6.1. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software Tools
  • Services
  • 6.2. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.3. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Marketing And Advertisement
  • Predictive Maintenance
  • Automated Network Management
  • Fraud Detection And Risk Management
  • Other Applications
  • 6.4. Global Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services and Insurance (BFSI)
  • Information Technology and Telecom
  • Automotive
  • Healthcare
  • Aerospace And Defense
  • Retail
  • Government
  • Other End Users
  • 6.5. Global Machine Learning As A Service (MLaaS) Market, Sub-Segmentation Of Software Tools, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Data Preprocessing Tools
  • Machine Learning Algorithms And Frameworks
  • Model Training And Validation Tools
  • Deployment And Monitoring Tools
  • Visualization And Reporting Tools
  • 6.6. Global Machine Learning As A Service (MLaaS) Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting And Advisory Services
  • Implementation And Integration Services
  • Custom Model Development Services
  • Training And Support Services
  • Managed Services And Maintenance

7. Machine Learning As A Service (MLaaS) Market Regional And Country Analysis

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

8. Asia-Pacific Machine Learning As A Service (MLaaS) Market

  • 8.1. Asia-Pacific Machine Learning As A Service (MLaaS) 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 As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning As A Service (MLaaS) Market

  • 9.1. China Machine Learning As A Service (MLaaS) Market Overview
  • 9.2. China Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning As A Service (MLaaS) Market

  • 10.1. India Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning As A Service (MLaaS) Market

  • 11.1. Japan Machine Learning As A Service (MLaaS) Market Overview
  • 11.2. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning As A Service (MLaaS) Market

  • 12.1. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning As A Service (MLaaS) Market

  • 13.1. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning As A Service (MLaaS) Market

  • 14.1. South Korea Machine Learning As A Service (MLaaS) Market Overview
  • 14.2. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning As A Service (MLaaS) Market

  • 15.1. Western Europe Machine Learning As A Service (MLaaS) Market Overview
  • 15.2. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning As A Service (MLaaS) Market

  • 16.1. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning As A Service (MLaaS) Market

  • 17.1. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning As A Service (MLaaS) Market

  • 18.1. France Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning As A Service (MLaaS) Market

  • 19.1. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning As A Service (MLaaS) Market

  • 20.1. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning As A Service (MLaaS) Market

  • 21.1. Eastern Europe Machine Learning As A Service (MLaaS) Market Overview
  • 21.2. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning As A Service (MLaaS) Market

  • 22.1. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning As A Service (MLaaS) Market

  • 23.1. North America Machine Learning As A Service (MLaaS) Market Overview
  • 23.2. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning As A Service (MLaaS) Market

  • 24.1. USA Machine Learning As A Service (MLaaS) Market Overview
  • 24.2. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning As A Service (MLaaS) Market

  • 25.1. Canada Machine Learning As A Service (MLaaS) Market Overview
  • 25.2. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning As A Service (MLaaS) Market

  • 26.1. South America Machine Learning As A Service (MLaaS) Market Overview
  • 26.2. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning As A Service (MLaaS) Market

  • 27.1. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning As A Service (MLaaS) Market

  • 28.1. Middle East Machine Learning As A Service (MLaaS) Market Overview
  • 28.2. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning As A Service (MLaaS) Market

  • 29.1. Africa Machine Learning As A Service (MLaaS) Market Overview
  • 29.2. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning As A Service (MLaaS) Market Competitive Landscape And Company Profiles

  • 30.1. Machine Learning As A Service (MLaaS) Market Competitive Landscape
  • 30.2. Machine Learning As A Service (MLaaS) Market Company Profiles
    • 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Meta Platforms Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning As A Service (MLaaS) Market Other Major And Innovative Companies

  • 31.1. International Business Machines Corporation
  • 31.2. Oracle Corporation
  • 31.3. Mitsubishi Electric Corporation
  • 31.4. SAP SE
  • 31.5. Hewlett Packard Enterprise Company
  • 31.6. NVIDIA Corporation
  • 31.7. Tata Consultancy Services Limited
  • 31.8. Infosys Limited
  • 31.9. Wipro Ltd.
  • 31.10. Fair Isaac Corporation
  • 31.11. Databricks Inc.
  • 31.12. TIBCO Software Inc.
  • 31.13. Cyient Ltd.
  • 31.14. Dataiku Ltd.
  • 31.15. H2O.ai Inc.

32. Global Machine Learning As A Service (MLaaS) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning As A Service (MLaaS) Market

34. Recent Developments In The Machine Learning As A Service (MLaaS) Market

35. Machine Learning As A Service (MLaaS) Market High Potential Countries, Segments and Strategies

  • 35.1 Machine Learning As A Service (MLaaS) Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning As A Service (MLaaS) Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning As A Service (MLaaS) 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