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市场调查报告书
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1458684

2024 年 MLaaS（机器学习即服务）全球市场报告

Machine Learning As A Service (MLaaS) Global Market Report 2024
出版日期: 按订单生产 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

MLaaS（机器学习即服务）市场规模预计在未来几年将大幅成长。到2028年，这一数字将以36.9%的年复合成长率（CAGR）增长至2,031亿美元。预期期间的成长由多个因素推动，包括产业专用的解决方案的可用性增加、可解释的人工智慧的兴起、自主系统的扩展、混合云端的采用以及增强的安全和隐私功能的实施。因素。这段时期的主要趋势包括特定产业机器学习平台的开发、人工智慧自动化的整合、机器学习民主化的努力、协作机器学习方法的进步以及持续学习系统的引入等。

云端技术的日益整合预计将在未来几年推动 MLaaS（机器学习即服务）市场的成长。云端技术整合是将不同的云端基础系统集成为一个整体，使云端基础与本地系统协同工作。云端技术利用 MLaaS 为使用者提供易于使用、可扩展且经济高效的机器学习功能。这使得用户能够利用针对各种应用程式的预先训练的模型和工具，而无需广泛的机器学习或基础设施管理专业知识。例如，欧盟统计局在 2023 年 12 月报告称，42.5% 的欧盟企业购买了云端处理服务，主要用于电子邮件、文件储存和办公室软体，从 2021 年开始这一数字增加了 4.2 个百分点。此外，根据奥古斯塔自由报2022年12月公布的资料，全球数位转型支出达到约1.85兆美元，较上年增加16%。因此，云端技术的整合不断增加，推动了 MLaaS 市场的成长。

MLaaS（机器学习即服务）市场的主要企业正在透过提供 Kubeflow 等服务进行创新，以实现人工智慧开发的民主化。 KFaaS（Kubeflow-as-a-Service）是一个託管环境，可让使用者在其机器学习（ML）计划中利用 Kubeflow 的强大功能，而无需管理底层基础设施。例如，2023 年 2 月，英国网站寄存公司 Civo 推出了 Kubeflow 作为服务。像 Civo KFaaS 这样的完全託管的开发环境允许用户存取服务供应商的运算功能，而无需担心基础设施管理。 KFaaS 透过与流行的 ML 工具和平台（例如 TensorFlow、PyTorch、RStudio、Visual Studio Code 和 Jupyter Notebook）整合来简化您的 ML计划工作流程。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球市场驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 2018-2023 年全球市场规模表现与成长
  • 全球市场规模预测与成长，2023-2028、2033

第六章市场区隔

  • 全球MLaaS（机器学习即服务）市场，按组件、实际和预测细分，2018-2023、2023-2028、2033
  • 软体工具
  • 服务
  • 全球MLaaS（机器学习即服务）市场，依组织规模细分、实际与预测，2018-2023、2023-2028、2033
  • 中小企业
  • 大公司
  • 全球MLaaS（机器学习即服务）市场，按应用细分、实际和预测，2018-2023、2023-2028、2033
  • 行销和广告
  • 预测性维护
  • 自动网路管理
  • 诈欺侦测和风险管理
  • 其他应用
  • 全球MLaaS（机器学习即服务）市场、最终用户细分、实际和预测，2018-2023、2023-2028、2033
  • 银行、金融服务和保险 (BFSI)
  • 资讯科技和通讯
  • 车
  • 卫生保健
  • 航太和国防
  • 零售
  • 政府
  • 其他最终用户

第 7 章 区域/国家分析

  • 全球MLaaS（机器学习即服务）市场，按地区、实际和预测，2018-2023、2023-2028、2033
  • 全球MLaaS（机器学习即服务）市场，按国家/地区、实际和预测，2018-2023、2023-2028、2033

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14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

第三十章 竞争格局及公司概况

  • MLaaS（机器学习即服务）市场竞争态势
  • MLaaS（机器学习即服务）市场公司概况
    • Amazon.com Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Meta Platforms Inc.
    • Intel Corporation

第31章 其他大型创新企业

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来展望与潜力分析

第36章附录

简介目录
Product Code: r16665

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.

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 $42.09 billion in 2023 to $57.88 billion in 2024 at a compound annual growth rate (CAGR) of 37.5%. The growth in the historic period can be attributed to the growth of big data, increased adoption of machine learning, advancements in deep learning, the 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 $203.10 billion in 2028 at a compound annual growth rate (CAGR) of 36.9%. The forecasted growth in the upcoming period can be attributed to several factors, including the increasing availability of industry-specific solutions, the rise of explainable AI, the expansion of autonomous systems, the adoption of hybrid cloud deployments, and the implementation of enhanced security and privacy features. Major trends expected during this period include the development of vertical-specific machine learning platforms, the integration of AI-enhanced automation, efforts to democratize machine learning, the promotion of collaborative machine learning approaches, and the implementation of continuous learning systems.

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 September 2021, DataRobot Inc., a US-based technology company, acquired Decision AI for an undisclosed amount. This acquisition is intended to enhance DataRobot's existing no-code app development and decision intelligence flow capabilities, allowing users to optimize dynamic business processes and make faster, more informed decisions. The acquisition is part of DataRobot's strategy to expand its AI Platform's decision intelligence suite and enhance the ability to make smarter decisions using machine learning. Decision AI, based in the US, specializes in Machine Learning as a Service (MLaaS).

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 2023. 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 2024 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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  • Measure the impact of high global inflation on market growth.
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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? 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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
  • Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Meta Platforms Inc.; Intel Corporation
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Machine Learning As A Service (MLaaS) Market Size and Growth

  • 5.1. Global Machine Learning As A Service (MLaaS) Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Machine Learning As A Service (MLaaS) Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Machine Learning As A Service (MLaaS) Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software Tools
  • Services
  • 6.2. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6.3. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Banking, Financial Services and Insurance (BFSI)
  • Information Technology and Telecom
  • Automotive
  • Healthcare
  • Aerospace And Defense
  • Retail
  • Government
  • Other End Users

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Machine Learning As A Service (MLaaS) Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Alphabet Inc.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Microsoft Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Meta Platforms Inc.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Intel Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Machine Learning As A Service (MLaaS) Market Competitive Dashboard

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

35. Machine Learning As A Service (MLaaS) Market Future Outlook and Potential Analysis

  • 35.1 Machine Learning As A Service (MLaaS) Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Machine Learning As A Service (MLaaS) Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Machine Learning As A Service (MLaaS) Market In 2028 - 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