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市場調查報告書
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1458684

2024 年 MLaaS（機器學習即服務）全球市場報告

Machine Learning As A Service (MLaaS) Global Market Report 2024
出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

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簡介目錄

MLaaS（機器學習即服務）市場規模預計在未來幾年將大幅成長。到2028年，這一數字將以36.9%的年複合成長率（CAGR）成長至2,031億美元。預期期間的成長由多個因素推動，包括產業專用的解決方案的可用性增加、可解釋的人工智慧的興起、自主系統的擴展、混合雲端的採用以及增強的安全和隱私功能的實施。因素。這段時期的主要趨勢包括特定產業機器學習平台的開發、人工智慧自動化的整合、機器學習民主化的努力、協作機器學習方法的進步以及持續學習系統的引入等。

雲端技術的日益整合預計將在未來幾年推動 MLaaS（機器學習即服務）市場的成長。雲端技術整合是將不同的雲端基礎系統整合為一個整體，使雲端基礎與本地系統協同工作。雲端技術利用 MLaaS 為使用者提供易於使用、可擴展且經濟高效的機器學習功能。這使得用戶能夠利用針對各種應用程式的預先訓練的模型和工具，而無需廣泛的機器學習或基礎設施管理專業知識。例如，歐盟統計局在 2023 年 12 月報告稱，42.5% 的歐盟企業購買了雲端處理服務，主要用於電子郵件、文件儲存和辦公室軟體，從 2021 年開始這一數字增加了 4.2 個百分點。此外，根據奧古斯塔自由報2022年12月公佈的資料，全球數位轉型支出達到約1.85兆美元，較上年增加16%。因此，雲端技術的整合不斷增加，推動了 MLaaS 市場的成長。

MLaaS（機器學習即服務）市場的主要企業正在透過提供 Kubeflow 等服務進行創新，以實現人工智慧開發的民主化。 KFaaS（Kubeflow-as-a-Service）是一個託管環境，可讓使用者在其機器學習（ML）計劃中利用 Kubeflow 的強大功能，而無需管理底層基礎設施。例如，2023 年 2 月，英國網站寄存公司 Civo 推出了 Kubeflow 作為服務。像 Civo KFaaS 這樣的完全託管的開發環境允許用戶存取服務供應商的運算功能，而無需擔心基礎設施管理。 KFaaS 透過與流行的 ML 工具和平台（例如 TensorFlow、PyTorch、RStudio、Visual Studio Code 和 Jupyter Notebook）整合來簡化您的 ML計劃工作流程。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球市場促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年全球市場規模表現與成長
  • 全球市場規模預測與成長，2023-2028、2033

第6章市場區隔

  • 全球MLaaS（機器學習即服務）市場，按組件、實際和預測細分，2018-2023、2023-2028、2033
  • 軟體工具
  • 服務
  • 全球MLaaS（機器學習即服務）市場，依組織規模細分、實際與預測，2018-2023、2023-2028、2033
  • 中小企業
  • 主要企業
  • 全球MLaaS（機器學習即服務）市場，按應用細分、實際和預測，2018-2023、2023-2028、2033
  • 行銷和廣告
  • 預測性維護
  • 自動網路管理
  • 詐欺偵測和風險管理
  • 其他應用
  • 全球MLaaS（機器學習即服務）市場、最終用戶細分、實際和預測，2018-2023、2023-2028、2033
  • 銀行、金融服務和保險 (BFSI)
  • 資訊科技和通訊
  • 車
  • 衛生保健
  • 航太和國防
  • 零售
  • 政府
  • 其他最終用戶

第 7 章 區域/國家分析

  • 全球MLaaS（機器學習即服務）市場，按地區、實際和預測，2018-2023、2023-2028、2033
  • 全球MLaaS（機器學習即服務）市場，按國家/地區、實際和預測，2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭格局及公司概況

  • MLaaS（機器學習即服務）市場競爭態勢
  • MLaaS（機器學習即服務）市場公司概況
    • Amazon.com Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Meta Platforms Inc.
    • Intel Corporation

第31章 其他大型創新企業

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來展望與潛力分析

第36章附錄

簡介目錄
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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 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 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