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2025年全球機器學習即服務(MLaaS)市場報告

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個工作天內

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簡介目錄

近年來,機器學習即服務(MLaaS)市場呈指數級成長,從2024年的578.8億美元成長到2025年的792.2億美元,複合年成長率達36.9%。這一成長可歸因於巨量資料的發展、機器學習的日益普及、深度學習的進步、資料科學和人工智慧的興起,以及人們對預測分析認知的不斷提高。

預計未來幾年機器學習即服務 (MLaaS) 市場將呈指數級成長,到 2029 年市場規模將達到 2,780 億美元,複合年成長率 (CAGR) 為 36.9%。預測期內的成長可歸因於產業專用的解決方案的增加、可解釋人工智慧的興起、自主系統的擴展、混合雲端部署以及安全性和隱私功能的增強。預測期內的關鍵趨勢包括產業特定機器學習平台、人工智慧自動化、機器學習的普及化、協作式機器學習和持續學習系統。

未來五年36.9%的成長率預測較我們先前的預測略微下調了0.1%。這一下調主要歸因於美國與其他國家之間的關稅影響。在這種服務模式下,跨境人工智慧運算服務和儲存平台的關稅可能會造成價格壓力,並限制我們全球整合的能力。此外,相互關稅以及日益加劇的貿易緊張局勢和限制措施對全球經濟和貿易的負面影響也將更為廣泛。

預計未來雲端技術的日益整合將推動機器學習即服務 (MLaaS) 市場的成長。雲端技術融合包括將各種雲端基礎的系統作為一個整體進行整合,以及將雲端基礎的系統與本地系統進行整合。透過 MLaaS,雲端技術為使用者提供易於存取、可擴展且經濟高效的機器學習功能。這使得使用者無需具備豐富的機器學習或基礎架構管理專業知識,即可將預先訓練模型和工具應用於各種應用程式。例如,歐盟統計局 (Eurostat) 2023 年 12 月發布的一份報告顯示,42.5% 的歐盟企業購買雲端處理服務主要用於電子郵件、文件儲存和辦公室軟體,較 2021 年成長了 4.2 個百分點。此外,《奧古斯塔自由報》(Augusta Free Press) 2022 年 12 月發布的數據顯示,全球數位轉型支出達到約 1.85 兆美元,較前一年成長 16%。因此,雲端技術的日益整合正在推動 MLaaS 市場的成長。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅,以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球機器學習即服務 (MLaaS):PESTEL 分析(政治、社會、技術、環境、法律因素、促進因素和限制因素)
  • 終端用戶產業分析
  • 全球機器學習即服務 (MLaaS) 市場:成長率分析
  • 全球機器學習即服務 (MLaaS) 市場表現:規模與成長,2019-2024 年
  • 全球機器學習即服務 (MLaaS) 市場預測:規模與成長,2024-2029 年,2034 年
  • 全球機器學習即服務 (MLaaS):潛在市場規模 (TAM)

第6章 市場細分

  • 全球機器學習即服務 (MLaaS) 市場按組件、效能和預測分類,2019-2024 年、2024-2029 年、2034 年
  • 軟體工具
  • 服務
  • 全球機器學習即服務 (MLaaS) 市場按組織規模、績效和預測分類,2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球機器學習即服務 (MLaaS) 市場按應用、效能和預測分類,2019-2024 年、2024-2029 年、2034 年
  • 行銷與廣告
  • 預測性維護
  • 自動網路管理
  • 詐騙偵測與風險管理
  • 其他用途
  • 全球機器學習即服務 (MLaaS) 市場按最終用戶、效能和預測分類,2019-2024 年、2024-2029 年、2034 年
  • 銀行、金融服務和保險(BFSI)
  • 資訊科技與通訊
  • 衛生保健
  • 航太與國防
  • 零售
  • 政府
  • 其他最終用戶
  • 全球機器學習即服務 (MLaaS) 市場:按軟體工具(類型)、效能和預測細分,2019-2024 年、2024-2029 年、2034 年
  • 資料預處理工具
  • 機器學習演算法和框架
  • 模型訓練和檢驗工具
  • 部署和監控工具
  • 視覺化和報告工具
  • 全球機器學習即服務 (MLaaS) 市場:按服務類型、效能和預測細分,2019-2024 年、2024-2029 年、2034 年
  • 諮詢和顧問服務
  • 實施和整合服務
  • 客製化模型開發服務
  • 培訓和支援服務
  • 託管服務和維護

第7章 區域和國家分析

  • 全球機器學習即服務 (MLaaS) 市場:區域表現與預測,2019-2024 年、2024-2029 年、2034 年
  • 全球機器學習即服務 (MLaaS) 市場:國家/地區、績效與預測,2019-2024 年、2024-2029 年、2034 年

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:競爭格局與公司概況

  • 機器學習即服務 (MLaaS) 市場:競爭格局
  • 機器學習即服務 (MLaaS) 市場:公司概況
    • 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:其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章:高潛力市場國家、細分市場與策略

  • 2029年機器學習即服務(MLaaS)市場:提供新機會的國家
  • 2029年機器學習即服務(MLaaS)市場:提供新機會的細分市場
  • 機器學習即服務 (MLaaS) 市場 2029 年:成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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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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