查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1451433

2024-2032 年按組件、組織規模、應用程式、最終用戶和區域分類的機器學習即服務市場報告

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個工作天內

價格

2023 年，全球機器學習即服務 (MLaaS) 市場規模達到 75 億美元。展望未來， IMARC Group預計到 2032 年，市場規模將達到 697 億美元，2024 年複合年成長率 (CAGR) 為 27.24%。2032 .組織對人工智慧（AI）解決方案的需求不斷成長，雲端運算在企業中日益普及，以及對自動化以加速全球業務計劃的日益重視，是推動市場的一些主要因素。

機器學習即服務 (MLaaS) 是一種綜合解決方案，可透過基於雲端的平台提供對機器學習功能和基礎架構的存取。它使組織能夠利用機器學習的力量，而無需在硬體、軟體和專業知識方面進行大量投資。 MLaaS 提供一系列服務、工具和資源，促進機器學習模型的開發、部署和管理。它提供了廣泛的預先建構演算法和模型，開發人員和資料科學家可以輕鬆存取和使用這些演算法和模型。

全球機器學習即服務 (MLaaS) 市場

目前，對 MLaaS 無需大量內部基礎設施和專業知識即可存取機器學習 (ML) 功能的需求不斷成長，這正在推動市場的成長。除此之外，各種業務營運的自動化程度不斷提高，以提高效率和生產力並減少人工錯誤的發生，正在推動市場的成長。此外，深度學習和強化學習等機器學習演算法的不斷進步也帶來了良好的市場前景。除此之外，企業擴大使用 MLaaS 來利用尖端技術從資料中提取有價值的見解，這正在支持市場的成長。此外，為了加速業務計劃、實現更快的市場投放速度以及更快地實現投資回報 (ROI)，人們越來越重視自動化，這也促進了市場的成長。

機器學習即服務 (MLaaS) 市場趨勢/促進因素：

對人工智慧 (AI) 解決方案的需求不斷成長

目前，人工智慧解決方案在各行業的應用不斷增加，推動了對 MLaaS 的需求。隨著組織認知到人工智慧在最佳化流程、增強客戶體驗以及從資料中獲取可行見解的價值，對 MLaaS 解決方案的需求正在增加。企業正在利用 MLaaS 來利用機器學習演算法的強大功能，而無需在硬體和專業人才方面進行大量投資。 MLaaS 解決方案還提供企業可以輕鬆實施的預先建置機器學習模型和資料處理工具。它使中小型企業能夠使用人工智慧，使它們能夠與擁有更多內部開發人工智慧資源的大公司競爭。

雲端運算日益普及

雲端運算的日益普及極大地推動了對 MLaaS 的需求，因為它為部署機器學習模型提供了強大且可擴展的環境，使企業能夠存取尖端的 ML 功能，而無需投資昂貴的硬體或軟體。除此之外，雲端運算有助於輕鬆儲存、處理和分析大量資料，這對於機器學習至關重要。基於雲端的MLaaS解決方案可以有效地處理這些龐大的資料集，提供高速資料處理能力和即時分析，從而實現快速決策並為企業創造競爭優勢。此外，雲端平台可確保不同部門甚至不同組織之間機器學習模式和資料的輕鬆協作和無縫共享。這種輕鬆的協作有助於企業推動人工智慧驅動的數位轉型，進而提高 MLaaS 的採用率。

增加資料生成

目前，全球資料產生量不斷增加，這大大推動了對 MLaaS 的需求。隨著企業產生和收集更多資料，機器學習從中提取價值的潛力也隨之增加。 MLaaS 提供者提供現成的機器學習模型，可以根據這些資料進行訓練，以獲得有價值的見解並做出明智的業務決策。此外，海量資料集的即時分析在快節奏、數據驅動的場景中至關重要。企業需要根據可用的最新資訊快速做出決策。 MLaaS平台具備即時處理大型資料集的能力，可為企業提供即時洞察，從而提高營運效率並實現快速的資料驅動決策。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球機器學習即服務 (MLaaS) 市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按組成部分

  • 軟體
    • 市場走向
    • 市場預測
  • 服務
    • 市場走向
    • 市場預測

第 7 章：市場區隔：依組織規模

  • 中小企業
    • 市場走向
    • 市場預測
  • 大型企業
    • 市場走向
    • 市場預測

第 8 章：市場區隔：按應用

  • 行銷和廣告
    • 市場走向
    • 市場預測
  • 詐欺偵測和風險管理
    • 市場走向
    • 市場預測
  • 預測分析
    • 市場走向
    • 市場預測
  • 擴增實境和虛擬實境
    • 市場走向
    • 市場預測
  • 自然語言處理
    • 市場走向
    • 市場預測
  • 電腦視覺
    • 市場走向
    • 市場預測
  • 安全與監控
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 9 章：市場區隔：按最終用戶

  • 資訊科技和電信
    • 市場走向
    • 市場預測
  • 汽車
    • 市場走向
    • 市場預測
  • 衛生保健
    • 市場走向
    • 市場預測
  • 航太和國防
    • 市場走向
    • 市場預測
  • 零售
    • 市場走向
    • 市場預測
  • 政府
    • 市場走向
    • 市場預測
  • BFSI
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 10 章：市場區隔：按地區

  • 北美洲
    • 美國
      • 市場走向
      • 市場預測
    • 加拿大
      • 市場走向
      • 市場預測
  • 亞太
    • 中國
      • 市場走向
      • 市場預測
    • 日本
      • 市場走向
      • 市場預測
    • 印度
      • 市場走向
      • 市場預測
    • 韓國
      • 市場走向
      • 市場預測
    • 澳洲
      • 市場走向
      • 市場預測
    • 印尼
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 歐洲
    • 德國
      • 市場走向
      • 市場預測
    • 法國
      • 市場走向
      • 市場預測
    • 英國
      • 市場走向
      • 市場預測
    • 義大利
      • 市場走向
      • 市場預測
    • 西班牙
      • 市場走向
      • 市場預測
    • 俄羅斯
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場走向
      • 市場預測
    • 墨西哥
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場細分：按國家/地區
    • 市場預測

第 11 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 12 章：價值鏈分析

第 13 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 14 章：價格分析

第15章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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