Global Machine Learning as a Service Market Size, Trends & Growth Opportunity By Service Components (Software and Services), By Service End-Users (Aerospace & Défense, IT & Telecom, Energy & Utilities, Public sector, Manufacturing, BFSI, Healthcare, Retail, and Others), and By Region and Forecast till 2027.
Global Machine Learning as a Service Market 
The Global Machine Learning as a Service Market is expected to grow from US$ 6.1 Billion in 2021 to US$ 19.01 Billion by 2027; it is estimated to grow at a CAGR of 20.86% from 2021 to 2027.
Machine learning is a subclass of artificial intelligence that refers to the process through which computers achieve pattern recognition, or the ability to continuously learn from and make predictions based on data, and make advances without being expressly programmed to do so via data analytics. Processing and extracting insights from huge data volumes generated when humans and other environmental elements interact with technology would be extremely challenging without the speed and sophistication of machine learning and deep learning.
Drivers: Adoption of IoT and automation will rise, propelling the market. IoT operations ensure that hundreds or thousands of devices are working securely and correctly on a business network, and that the data being collected is trustworthy and timely. Although advanced back-end analytics engines perform the heavy lifting of processing the data stream, validating the integrity of the data is typically left to antiquated approaches. Some IoT platform providers are employing machine learning technology to improve their operations management skills in order to gain control of large IoT systems. Machine learning may be able to discover hidden patterns in IoT data by analysing enormous amounts of data with strong algorithms.
Restraints: Stringent compliance challenges, lack of understanding, and a paucity of skilled individuals are the primary restraints for the Global Machine Learning As A Service Market throughout the anticipated period.
Impact of Covid-19
Because cloud service flexibility may meet unanticipated surges in service demand, the COVID-19 epidemic prompted many enterprises to expedite their migrations to public cloud solutions. Migrations to the cloud aided enterprises in reinventing their business practises in the aftermath of COVID-19. The need for AI services has increased, and several cloud providers now supply AIaaS and MLaaS.
Segmentation By Service Components: The Global Machine Learning As A Service Market is divided into Software and Services on the basis of Service Components. 
Segmentation By Service End-Users: The Global Machine Learning As A Service Market is divided into Aerospace & Défense, IT & Telecom, Energy & Utilities, Public sector, Manufacturing, BFSI, Healthcare, Retail, and Others on the basis of Service End-Users. 
Segmentation By Region: The Global Machine Learning As A Service Market is divided into four regions: North America, Europe, Asia Pacific, and the Rest of the World. Over the estimated period, North America is expected to be the fastest growing market. North America has been the most ahead in terms of utilising Machine Learning Services. Furthermore, this region has been especially effective in adopting the most recent technical breakthroughs, such as cloud integration or Big Data in Machine Learning Services.
Competitive Landscape: The key players of Machine Learning as a Service Market are Hewlett Packard Enterprises, AT&T, FICO, Kyndryl, IBM Corporation, Microsoft, Cognizant, Google Inc., BigML Inc., Ersatz Labs, Yottamine Analytics, and Amazon Web Services.
Industrial Development 
• Cognizant, a key player in the machine learning as a service sector, purchased Inawisdom in December 2021 to increase the capacity of organisations that use analytics and machine learning platforms to make choices.
• Kyndryl, another important competitor in the market for machine learning as a service, entered into a cooperation with Google Cloud in December 2021 to help digital business transformation by focusing on new business outcomes.
• Microsoft, a prominent player in the machine learning as a service market, revealed new machine learning services in May 2019 using the brand-new machine learning platform "Azure." These services include everything from hosted notebooks to no-code solutions.
• HPE Haven On Demand (HOD) Combinations, a new cloud-based product built on the HPE Haven OnDemand platform, were introduced in August 2016. It encourages developers to use machine learning to create next-generation applications.
Market Taxonomy 
By Service Components
• Software
• Services
By Service End-Users
• Aerospace & Défense
• IT & Telecom
• Energy & Utilities
• Public sector
• Manufacturing
• BFSI
• Healthcare
• Retail
• Others
By Region
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa
Key Questions Addressed by the Report
• What are the Key Opportunities in Machine Learning as a Service Market?
• What will be the growth rate from 2021 to 2027?
• Which segment/region will have highest growth?
• What are the factors that will impact/drive the Market?
• What is the competitive Landscape in the Industry?
• What is the role of key players in the value chain?

Global Machine Learning as a Service Market TOC:

1 Introduction 
1.1 Objective of the Study
1.2 Market definition
1.3 Market Scope
2 Research Methodology
2.1 Data Mining
2.2 Validation
2.3 Primary Interviews
2.4 List of Data Service Components
3 Executive Summary
4 Global Machine Learning as a Service Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 Global Machine Learning as a Service Market, By Service Components
5.1 Y-o-Y Growth Comparison, By Service Components 
5.2 Global Machine Learning as a Service Market Share Analysis, By Service Components 
5.3 Global Machine Learning as a Service Market Size and Forecast, By Service Components
5.3.1 Software
5.3.2 Services
6 Global Machine Learning as a Service Market, By Service End-Users
6.1 Y-o-Y Growth Comparison, By Service End-Users
6.2 Global Machine Learning as a Service Market Share Analysis, By Service End-Users
6.3 Global Machine Learning as a Service Market Size and Forecast, By Service End-Users
6.3.1 Aerospace & Défense
6.3.2 IT & Telecom
6.3.3 Energy & Utilities
6.3.4 Public sector
6.3.5 Manufacturing
6.3.6 BFSI
6.3.7 Healthcare
6.3.8 Retail
6.3.9 Others
7 Global Machine Learning as a Service Market, By Region
7.1 Global Machine Learning as a Service Market Share Analysis, By Region
7.2 Global Machine Learning as a Service Market Share Analysis, By Region
7.3 Global Machine Learning as a Service Market Size and Forecast, By Region
8 North America Machine Learning as a Service Market Analysis and Forecast (2022-2027)
8.1 Introduction
8.2 North America Machine Learning as a Service Market Share Analysis, By Service Components
8.3 North America Machine Learning as a Service Market Size and Forecast, By Service End-Users
8.4 North America Machine Learning as a Service Market Size and Forecast, By Country
8.5.1 U.S.
8.6.2 Canada
9.7.3 Mexico
9 Europe Machine Learning as a Service Market Analysis and Forecast (2022-2027)
9.1 Introduction
9.2 Europe Machine Learning as a Service Market Share Analysis, By Service Components 
9.3 Europe Machine Learning as a Service Market Size and Forecast, By Service End-Users 
9.4 Europe Machine Learning as a Service Market Size and Forecast, By Country
9.5.1 Germany
9.6.2 France
9.7.3 UK
9.8.4. Rest of Europe
10 Asia Pacific Machine Learning as a Service Market Analysis and Forecast (2022-2027)
10.1 Introduction
10.2 Asia Pacific Machine Learning as a Service Market Share Analysis, By Service Components 
10.3 Asia Pacific Machine Learning as a Service Market Size and Forecast, By Service End-Users 
10.4 Asia Pacific Machine Learning as a Service Market Size and Forecast, By Country
10.5.1 China 
10.6.2 Japan
10.7.3 India
10.8.4. Rest of Asia Pacific
11 Latin America Machine Learning as a Service Market Analysis and Forecast (2022-2027)
11.1 Introduction
11.2 Latin America Machine Learning as a Service Market Share Analysis, By Service Components 
11.3 Latin America Machine Learning as a Service Market Size and Forecast, By Service End-Users 
11.4 Latin America Machine Learning as a Service Market Size and Forecast, Country
11.5.1. Brazil
11.6.2. Rest of Latin America
12 Middle East Machine Learning as a Service Market Analysis and Forecast (2022-2027)
12.1 Introduction
12.2 Middle East Machine Learning as a Service Market Share Analysis, By Service Components 
12.3 Middle East Machine Learning as a Service Market Size and Forecast, By Service End-Users 
12.4 Middle East Machine Learning as a Service Market Size and Forecast, By Country
12.5.1. Saudi Arabia
12.6.2. UAE
12.7.3. Egypt
12.8.4. Kuwait
12.9.5. South Africa
13 Competitive Analysis
13.1 Competition Dashboard
13.2 Market share Analysis of Top Vendors
13.3 Key Development Strategies
14 Company Profiles
14.1 Hewlett Packard Enterprises
14.1.1 Overview
14.1.2 Offerings
14.1.3 Key Financials
14.1.4 Business Segment & Geographic Overview
14.1.5 Key Market Developments
14.1.6 Key Strategies
14.2. AT&T
14.2.1 Overview
14.2.2 Offerings
14.2.3 Key Financials
14.2.4 Business Segment & Geographic Overview
14.2.5 Key Market Developments
14.2.6 Key Strategies
14.3. FICO
14.3.1 Overview
14.3.2 Offerings
14.3.3 Key Financials
14.3.4 Business Segment & Geographic Overview
14.3.5 Key Market Developments
14.3.6 Key Strategies
14.4 Kyndryl
14.4.1 Overview
14.4.2 Offerings
14.4.3 Key Financials
14.4.4 Business Segment & Geographic Overview
14.4.5 Key Market Developments
14.4.6 Key Strategies
14.5 IBM Corporation
14.5.1 Overview
14.5.2 Offerings
14.5.3 Key Financials
14.5.4 Business Segment & Geographic Overview
14.5.5 Key Market Developments
14.5.6 Key Strategies
14.6 Microsoft
14.6.1 Overview
14.6.2 Offerings
14.6.3 Key Financials
14.6.4 Business Segment & Geographic Overview
14.6.5 Key Market Developments
14.6.6 Key Strategies
14.7 Amazon Web Services
14.7.1 Overview
14.7.2 Offerings
14.7.3 Key Financials
14.7.4 Business Segment & Geographic Overview
14.7.5 Key Market Developments
14.7.6 Key Strategies