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市场调查报告书
商品编码
1451433

2024-2032 年按组件、组织规模、应用程式、最终用户和区域分類的机器学习即服务市场报告

Machine Learning as a Service Market Report by Component, Organization Size, Application, End User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 148 Pages | 商品交期: 2-3个工作天内

价格

2023 年，全球机器学习即服务 (MLaaS) 市场规模达到 75 亿美元。展望未来， IMARC Group预计到 2032 年，市场规模将达到 697 亿美元，2024 年复合年增长率 (CAGR) 为 27.24%。2032 .组织对人工智慧（AI）解决方案的需求不断增长，云端运算在企业中日益普及，以及对自动化以加速全球业务计划的日益重视，是推动市场的一些主要因素。

机器学习即服务 (MLaaS) 是一种综合解决方案，可透过基于云端的平台提供对机器学习功能和基础架构的存取。它使组织能够利用机器学习的力量，而无需在硬体、软体和专业知识方面进行大量投资。 MLaaS 提供一系列服务、工具和资源，促进机器学习模型的开发、部署和管理。它提供了广泛的预先建构演算法和模型，开发人员和资料科学家可以轻鬆存取和使用这些演算法和模型。

全球机器学习即服务 (MLaaS) 市场

目前，对 MLaaS 无需大量内部基础设施和专业知识即可存取机器学习 (ML) 功能的需求不断增长，这正在推动市场的成长。除此之外，各种业务营运的自动化程度不断提高，以提高效率和生产力并减少人工错误的发生，正在推动市场的成长。此外，深度学习和强化学习等机器学习演算法的不断进步也带来了良好的市场前景。除此之外，企业越来越多地使用 MLaaS 来利用尖端技术从资料中提取有价值的见解，这正在支持市场的成长。此外，为了加速业务计划、实现更快的市场投放速度以及更快地实现投资回报 (ROI)，人们越来越重视自动化，这也促进了市场的成长。

机器学习即服务 (MLaaS) 市场趋势/驱动因素：

对人工智慧 (AI) 解决方案的需求不断增长

目前，人工智慧解决方案在各行业的应用不断增加，推动了对 MLaaS 的需求。随着组织认识到人工智慧在优化流程、增强客户体验以及从资料中获取可行见解的价值，对 MLaaS 解决方案的需求正在增加。企业正在利用 MLaaS 来利用机器学习演算法的强大功能，而无需在硬体和专业人才方面进行大量投资。 MLaaS 解决方案还提供企业可以轻鬆实施的预先建置机器学习模型和资料处理工具。它使中小型企业能够使用人工智慧，使它们能够与拥有更多内部开发人工智慧资源的大公司竞争。

云端运算日益普及

云端运算的日益普及极大地推动了对 MLaaS 的需求，因为它为部署机器学习模型提供了强大且可扩展的环境，使企业能够存取尖端的 ML 功能，而无需投资昂贵的硬体或软体。除此之外，云端运算有助于轻鬆储存、处理和分析大量资料，这对于机器学习至关重要。基于云端的MLaaS解决方案可以有效地处理这些庞大的资料集，提供高速资料处理能力和即时分析，从而实现快速决策并为企业创造竞争优势。此外，云端平台可确保不同部门甚至不同组织之间机器学习模式和资料的轻鬆协作和无缝共享。这种轻鬆的协作有助于企业推动人工智慧驱动的数位转型，进而提高 MLaaS 的采用率。

增加资料生成

目前，全球资料产生量不断增加，这大大推动了对 MLaaS 的需求。随着企业产生和收集更多资料，机器学习从中提取价值的潜力也随之增加。 MLaaS 提供者提供现成的机器学习模型，可以根据这些资料进行训练，以获得有价值的见解并做出明智的业务决策。此外，海量资料集的即时分析在快节奏、数据驱动的场景中至关重要。企业需要根据可用的最新资讯快速做出决策。 MLaaS平台具备即时处理大型资料集的能力，可为企业提供即时洞察，从而提高营运效率并实现快速的资料驱动决策。

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 资料来源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球机器学习即服务 (MLaaS) 市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按组成部分

  • 软体
    • 市场走向
    • 市场预测
  • 服务
    • 市场走向
    • 市场预测

第 7 章：市场区隔：依组织规模

  • 中小企业
    • 市场走向
    • 市场预测
  • 大型企业
    • 市场走向
    • 市场预测

第 8 章：市场区隔：按应用

  • 行销和广告
    • 市场走向
    • 市场预测
  • 诈欺侦测和风险管理
    • 市场走向
    • 市场预测
  • 预测分析
    • 市场走向
    • 市场预测
  • 扩增实境和虚拟现实
    • 市场走向
    • 市场预测
  • 自然语言处理
    • 市场走向
    • 市场预测
  • 电脑视觉
    • 市场走向
    • 市场预测
  • 安全与监控
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 9 章：市场区隔：按最终用户

  • 资讯科技和电信
    • 市场走向
    • 市场预测
  • 汽车
    • 市场走向
    • 市场预测
  • 卫生保健
    • 市场走向
    • 市场预测
  • 航太和国防
    • 市场走向
    • 市场预测
  • 零售
    • 市场走向
    • 市场预测
  • 政府
    • 市场走向
    • 市场预测
  • BFSI
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 10 章：市场区隔：按地区

  • 北美洲
    • 美国
      • 市场走向
      • 市场预测
    • 加拿大
      • 市场走向
      • 市场预测
  • 亚太
    • 中国
      • 市场走向
      • 市场预测
    • 日本
      • 市场走向
      • 市场预测
    • 印度
      • 市场走向
      • 市场预测
    • 韩国
      • 市场走向
      • 市场预测
    • 澳洲
      • 市场走向
      • 市场预测
    • 印尼
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 欧洲
    • 德国
      • 市场走向
      • 市场预测
    • 法国
      • 市场走向
      • 市场预测
    • 英国
      • 市场走向
      • 市场预测
    • 义大利
      • 市场走向
      • 市场预测
    • 西班牙
      • 市场走向
      • 市场预测
    • 俄罗斯
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 拉丁美洲
    • 巴西
      • 市场走向
      • 市场预测
    • 墨西哥
      • 市场走向
      • 市场预测
    • 其他的
      • 市场走向
      • 市场预测
  • 中东和非洲
    • 市场走向
    • 市场细分：按国家/地区
    • 市场预测

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 14 章：价格分析

第15章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Amazon.com Inc.
    • Bigml Inc.
    • Fair Isaac Corporation
    • Google LLC (Alphabet Inc.)
    • H2O.ai Inc.
    • Hewlett Packard Enterprise Development LP
    • Iflowsoft Solutions Inc.
    • International Business Machines Corporation
    • Microsoft Corporation
    • MonkeyLearn
    • Sas Institute Inc.
    • Yottamine Analytics Inc.
Product Code: SR112024A4820

The global machine learning as a service (MLaaS) market size reached US$ 7.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 69.7 Billion by 2032, exhibiting a growth rate (CAGR) of 27.24%during 2024-2032. The growing demand for artificial intelligence (AI) solutions among organizations, rising popularity of cloud computing among businesses, and increasing emphasis on automation to accelerate business initiatives worldwide are some of the major factors propelling the market.

Machine learning as a service (MLaaS) is a comprehensive solution that provides access to machine learning capabilities and infrastructure through a cloud-based platform. It enables organizations to leverage the power of machine learning without the need for significant investments in hardware, software, and specialized expertise. MLaaS offers a range of services, tools, and resources that facilitate the development, deployment, and management of machine learning models. It provides a wide array of pre-built algorithms and models that can be easily accessed and utilized by developers and data scientists.

Global Machine Learning As A Service (MLaaS) Market

At present, the increasing demand for MLaaS to access machine learning (ML) capabilities without the need for extensive in-house infrastructure and expertise is impelling the growth of the market. Besides this, the rising automation of various business operations to increase efficiency and productivity and reduce the occurrence of manual errors is propelling the growth of the market. In addition, the growing advancements in ML algorithms, including deep learning and reinforcement learning, are offering a favorable market outlook. Apart from this, the increasing employment of MLaaS by businesses to leverage cutting-edge techniques to extract valuable insights from their data is supporting the growth of the market. Additionally, the rising emphasis on automation to accelerate business initiatives, achieve faster time-to-time markets, and realize quicker returns on investments (ROI) is contributing to the growth of the market.

Machine Learning as a Service (MLaaS) Market Trends/Drivers:

Rising demand for artificial intelligence (AI) solutions

At present, the increasing employment of AI solutions across various industries is fueling the demand for MLaaS. As organizations recognize the value of AI in optimizing processes, enhancing customer experiences, and gaining actionable insights from data, the demand for MLaaS solutions is increasing. Businesses are leveraging MLaaS to harness the power of machine learning algorithms without the need for significant investments in hardware and specialized talent. MLaaS solutions also offer pre-built machine learning models and data handling tools which businesses can easily implement. It has made AI accessible to small and medium-sized businesses, enabling them to compete with larger companies that have more resources for developing AI in-house.

Growing popularity of cloud computing

The rising popularity of cloud computing is significantly driving the demand for MLaaS as it provides a robust and scalable environment for deploying machine learning models, enabling businesses to access cutting-edge ML capabilities without investing in expensive hardware or software. Besides this, cloud computing facilitates easy storage, processing, and analysis of large volumes of data, which are crucial for machine learning. Cloud-based MLaaS solutions can handle these vast datasets efficiently, providing high-speed data processing capabilities and real-time analytics, thereby enabling quick decision-making and creating a competitive edge for businesses. In addition, cloud platforms ensure easy collaboration and seamless sharing of machine learning models and data across different departments or even different organizations. This ease of collaboration can be instrumental in businesses to drive AI-driven digital transformation, thereby leading to increased uptake of MLaaS.

Increasing generation of data

Presently, there is an increase in data generation worldwide, which is significantly propelling the demand for MLaaS. As businesses generate and collect more data, the potential for ML to extract value from it also increases. MLaaS providers deliver ready-made machine learning models that can be trained on this data to gain valuable insights and make informed business decisions. Moreover, the real-time analysis of massive datasets is crucial in fast-paced, data-driven scenarios. Businesses need to make decisions quickly based on the latest information available. MLaaS platforms, equipped with the capability to process large datasets in real time, can provide businesses with immediate insights, thereby improving their operational efficiency and enabling swift and data-driven decision-making.

Machine Learning as a Service (MLaaS) Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global machine learning as a service (MLaaS) market report, along with forecasts at the global and regional levels from 2024-2032. Our report has categorized the market based on component, organization size, application and end user.

Breakup by Component:

Software

Services

Services dominate the market

The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services. According to the report, services represented the largest segment.

MLaaS providers offer pre-built and customizable machine learning models, which simplifies the adoption of machine learning technologies, especially for small and medium enterprises (SMEs) that may lack the resources or expertise to develop these models in-house. Developing and implementing machine learning models in-house can be quite expensive, considering the costs of hiring skilled data scientists, investing in robust hardware, and maintaining the necessary software. MLaaS provides a more cost-effective alternative as it operates on a pay-as-you-go model, allowing businesses to only pay for what they use. MLaaS providers also offer ongoing support and maintenance services, which can help businesses overcome any challenges they encounter when using the technology. This support can help businesses mitigate risks and ensure that their machine-learning models are performing optimally.

Breakup by Organization Size:

Small and Medium-sized Enterprises

Large Enterprises

Large enterprises hold the largest share in the market

A detailed breakup and analysis of the market based on the organization size has also been provided in the report. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.

Large enterprises are increasingly turning to machine learning as a service (MLaaS) as it is a convenient, scalable, and cost-effective solution for implementing advanced machine learning capabilities, allowing large businesses to make data-driven decisions and gain a competitive edge. The vast amount of data generated by these enterprises necessitates efficient tools to extract meaningful insights, and MLaaS offers robust machine-learning models capable of processing this information swiftly and effectively. Moreover, in a dynamic business environment, large enterprises need to respond spontaneously to changing market conditions. With MLaaS, they can leverage real-time analytics to derive immediate insights from their data, enhancing their decision-making process and operational efficiency. This is particularly beneficial for industries that operate in fast-paced environments, such as finance, technology, and e-commerce.

Breakup by Application:

Marketing and Advertising

Fraud Detection and Risk Management

Predictive Analytics

Augmented and Virtual Reality

Natural Language Processing

Computer Vision

Security and Surveillance

Others

Marketing and advertising hold the biggest share in the market

A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes marketing and advertising, fraud detection and risk management, predictive analytics, augmented and virtual reality, natural language processing, computer vision, security and surveillance, and others. According to the report, marketing and advertising accounted for the largest market share.

Marketing and advertising industries increasingly require machine learning as a service (MLaaS) due to its potential to transform their operations and customer engagements significantly. In these fields, understanding consumer behavior and preferences is of utmost importance, and the ability to analyze vast amounts of customer data is vital. MLaaS provides robust machine learning models that can process and analyze this data, offering valuable insights about customers, enabling personalized marketing, and improving target advertising. MLaaS is also used to segment customers based on various characteristics, enabling marketers to tailor their messages and offers to specific groups. It allows for precise targeting, which can significantly enhance the effectiveness of marketing campaigns.

Breakup by End User:

IT and Telecom

Automotive

Healthcare

Aerospace and Defense

Retail

Government

BFSI

Others

BFSI holds the maximum share of the market

A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes IT and telecom, automotive, healthcare, aerospace and defense, retail, government, BFSI, and others. According to the report, BFSI accounted for the largest market share.

The banking, financial services and insurance (BFSI) sector is relying on machine learning as a service (MLaaS) due to its transformative potential to streamline operations, enhance customer experiences, and bolster security measures. The BFSI sector deals with enormous amounts of data, and MLaaS provides an efficient way to process, analyze, and draw actionable insights from this data, enabling financial institutions to make informed decisions. MLaaS plays a pivotal role in personalizing customer experiences in the BFSI sector. By analyzing customer data, machine learning models can identify individual behaviors and preferences, enabling financial institutions to tailor their services to each customer's unique needs. Furthermore, by leveraging MLaaS, financial institutions can build predictive models that can alert them to potential fraud or risks in real-time, significantly enhancing their security measures and customer trust.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance, accounting for the largest machine learning as a service (MLaaS) market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and Others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa.

North America held the biggest market share due to the rising number of businesses that are integrating AI and ML in their operations to achieve efficiency and scalability and minimize the involvement of humans.

Another contributing aspect is the rising generation of data through various online channels. Besides this, the increasing number of cyber threats and data breaches is propelling the growth of the market.

Asia Pacific is estimated to expand further in this domain due to the rising popularity of cloud computing and edge computing. Apart from this, the rising focus on automating various business operations is strengthening the growth of the market.

Competitive Landscape:

Key market players are investing in research operations to improve their machine-learning services. They are also providing cutting-edge machine learning tools and capabilities that are efficient, scalable, and easy to use. Top companies are entering into strategic partnerships with other tech companies, startups, and research institutions to deliver more comprehensive and innovative solutions. They are also focusing on providing training and certification programs to create a skilled workforce. Leading companies are taking initiatives to enhance the security features of their platforms. They are implementing stronger data encryption, enhancing access controls, and using machine learning to detect and respond to security threats.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amazon.com Inc.

Bigml Inc.

Fair Isaac Corporation

Google LLC (Alphabet Inc.)

H2O.ai Inc.

Hewlett Packard Enterprise Development LP

Iflowsoft Solutions Inc.

International Business Machines Corporation

Microsoft Corporation

MonkeyLearn

Sas Institute Inc.

Yottamine Analytics Inc.

Recent Developments:

In March 2023, Amazon Web Services, and Amazon.com Inc. company, announced a collaboration with NVIDIA to build the world's most scalable, on-demand artificial intelligence (AI) infrastructure optimized to train large machine learning models and build generative AI applications.

In September 2018, Fair Isaac Corporation announced the launch of the latest version of FICO(R) Analytics Workbench(TM), which assists data scientists to understand the machine learning models behind AI-derived decisions.

In July 2023, International Business Machines Corporation announced the launch of Watsonx, which comprise three products to help businesses accelerate and scale AI and machine learning.

Key Questions Answered in This Report

  • 1. What was the size of the global machine learning as a service (MLaaS) market in 2023?
  • 2. What is the expected growth rate of the global machine learning as a service (MLaaS) market during 2024-2032?
  • 3. What are the key factors driving the global machine learning as a service (MLaaS) market?
  • 4. What has been the impact of COVID-19 on the global machine learning as a service (MLaaS) market?
  • 5. What is the breakup of the global machine learning as a service (MLaaS) market based on the component?
  • 6. What is the breakup of the global machine learning as a service (MLaaS) market based on organization size?
  • 7. What is the breakup of the global machine learning as a service (MLaaS) market based on the application?
  • 8. What is the breakup of the global machine learning as a service (MLaaS) market based on the end user?
  • 9. What are the key regions in the global machine learning as a service (MLaaS) market?
  • 10. Who are the key players/companies in the global machine learning as a service (MLaaS) market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Machine Learning as a Service (MLaaS) Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Organization Size

  • 7.1 Small and Medium-sized Enterprises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Large Enterprises
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Application

  • 8.1 Marketing and Advertising
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Fraud Detection and Risk Management
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Predictive Analytics
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast
  • 8.4 Augmented and Virtual Reality
    • 8.4.1 Market Trends
    • 8.4.2 Market Forecast
  • 8.5 Natural Language Processing
    • 8.5.1 Market Trends
    • 8.5.2 Market Forecast
  • 8.6 Computer Vision
    • 8.6.1 Market Trends
    • 8.6.2 Market Forecast
  • 8.7 Security and Surveillance
    • 8.7.1 Market Trends
    • 8.7.2 Market Forecast
  • 8.8 Others
    • 8.8.1 Market Trends
    • 8.8.2 Market Forecast

9 Market Breakup by End User

  • 9.1 IT and Telecom
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Automotive
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Healthcare
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Aerospace and Defense
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Retail
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Government
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 BFSI
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast
  • 9.8 Others
    • 9.8.1 Market Trends
    • 9.8.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Amazon.com Inc.
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
      • 15.3.1.4 SWOT Analysis
    • 15.3.2 Bigml Inc.
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
    • 15.3.3 Fair Isaac Corporation
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 Google LLC (Alphabet Inc.)
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
      • 15.3.4.3 SWOT Analysis
    • 15.3.5 H2O.ai Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
    • 15.3.6 Hewlett Packard Enterprise Development LP
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 Iflowsoft Solutions Inc.
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
    • 15.3.8 International Business Machines Corporation
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 Microsoft Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
      • 15.3.9.3 Financials
      • 15.3.9.4 SWOT Analysis
    • 15.3.10 MonkeyLearn
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
    • 15.3.11 Sas Institute Inc.
      • 15.3.11.1 Company Overview
      • 15.3.11.2 Product Portfolio
      • 15.3.11.3 SWOT Analysis
    • 15.3.12 Yottamine Analytics Inc.
      • 15.3.12.1 Company Overview
      • 15.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Machine Learning as a Service Market: Major Drivers and Challenges
  • Figure 2: Global: Machine Learning as a Service Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Machine Learning as a Service Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Machine Learning as a Service Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Machine Learning as a Service Market: Breakup by Organization Size (in %), 2023
  • Figure 6: Global: Machine Learning as a Service Market: Breakup by Application (in %), 2023
  • Figure 7: Global: Machine Learning as a Service Market: Breakup by End User (in %), 2023
  • Figure 8: Global: Machine Learning as a Service Market: Breakup by Region (in %), 2023
  • Figure 9: Global: Machine Learning as a Service (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 10: Global: Machine Learning as a Service (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 11: Global: Machine Learning as a Service (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 12: Global: Machine Learning as a Service (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 13: Global: Machine Learning as a Service (Small and Medium Size Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 14: Global: Machine Learning as a Service (Small and Medium Size Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 15: Global: Machine Learning as a Service (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 16: Global: Machine Learning as a Service (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 17: Global: Machine Learning as a Service (Marketing and Advertising) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 18: Global: Machine Learning as a Service (Marketing and Advertising) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 19: Global: Machine Learning as a Service (Fraud Detection and Risk Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 20: Global: Machine Learning as a Service (Fraud Detection and Risk Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 21: Global: Machine Learning as a Service (Predictive Analytics) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 22: Global: Machine Learning as a Service (Predictive Analytics) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 23: Global: Machine Learning as a Service (Augmented and Virtual Reality) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 24: Global: Machine Learning as a Service (Augmented and Virtual Reality) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 25: Global: Machine Learning as a Service (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 26: Global: Machine Learning as a Service (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 27: Global: Machine Learning as a Service (Computer Vision) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 28: Global: Machine Learning as a Service (Computer Vision) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 29: Global: Machine Learning as a Service (Security and Surveillance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 30: Global: Machine Learning as a Service (Security and Surveillance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 31: Global: Machine Learning as a Service (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 32: Global: Machine Learning as a Service (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 33: Global: Machine Learning as a Service (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 34: Global: Machine Learning as a Service (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 35: Global: Machine Learning as a Service (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 36: Global: Machine Learning as a Service (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 37: Global: Machine Learning as a Service (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 38: Global: Machine Learning as a Service (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 39: Global: Machine Learning as a Service (Aerospace and Defense) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 40: Global: Machine Learning as a Service (Aerospace and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 41: Global: Machine Learning as a Service (Retail) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 42: Global: Machine Learning as a Service (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 43: Global: Machine Learning as a Service (Government) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 44: Global: Machine Learning as a Service (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 45: Global: Machine Learning as a Service (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 46: Global: Machine Learning as a Service (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 47: Global: Machine Learning as a Service (Other End Users) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 48: Global: Machine Learning as a Service (Other End Users) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 49: North America: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 50: North America: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 51: United States: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 52: United States: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 53: Canada: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 54: Canada: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 55: Asia-Pacific: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 56: Asia-Pacific: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 57: China: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 58: China: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 59: Japan: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 60: Japan: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 61: India: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 62: India: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 63: South Korea: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 64: South Korea: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 65: Australia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 66: Australia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 67: Indonesia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 68: Indonesia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 69: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 70: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 71: Europe: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 72: Europe: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 73: Germany: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 74: Germany: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 75: France: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 76: France: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 77: United Kingdom: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 78: United Kingdom: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 79: Italy: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 80: Italy: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Spain: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 82: Spain: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 83: Russia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 84: Russia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 85: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 86: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 87: Latin America: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 88: Latin America: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 89: Brazil: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 90: Brazil: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 91: Mexico: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 92: Mexico: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 93: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 94: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 95: Middle East and Africa: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 96: Middle East and Africa: Machine Learning as a Service Market: Breakup by Country (in %), 2023
  • Figure 97: Middle East and Africa: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 98: Global: Machine Learning as a Service Industry: SWOT Analysis
  • Figure 99: Global: Machine Learning as a Service Industry: Value Chain Analysis
  • Figure 100: Global: Machine Learning as a Service Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Machine Learning as a Service Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Machine Learning as a Service Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Machine Learning as a Service Market Forecast: Breakup by Organization Size (in Million US$), 2024-2032
  • Table 4: Global: Machine Learning as a Service Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 5: Global: Machine Learning as a Service Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 6: Global: Machine Learning as a Service Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 7: Global: Machine Learning as a Service Market: Competitive Structure
  • Table 8: Global: Machine Learning as a Service Market: Key Players