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Machine Learning as a Service Market- Global Industry Size, Share, Trends, Opportunities, and Forecast 2018-2028F
Segmented By Component (Solution, Service), By Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), By Application (Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality, Others), By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI), By Region, Competition

Machine Learning as a Service Market- Global Industry Size, Share, Trends, Opportunities, and Forecast 2018-2028F Segmented By Component (Solution, Service), By Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), By Application (Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality, Others), By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI), By Region, Competition

Global machine learning as a service market is anticipated to grow at double digit CAGR through 2028 on account of rising adoption of cloud-based solutions and increasing application of big data. Additionally, it is estimated that the limited availability of skilled labour and a lack of data security can hamper the growth of the machine learning as a service (MLaaS) market globally throughout the forecasted period. The term "Machine Learning as a Service" (MLaaS) refers to a group of services which includes several cloud-based platforms using machine learning techniques to offer dedicated solutions. Furthermore, MLaaS reduces infrastructure-related issues such as data pre-processing, model training, model evaluation, and, ultimately, predictions.
Rising adoption of cloud-based services
, Several industry verticals utilize major cloud-based solutions to manage business operations. With cloud-based technologies being majorly used in various organizations and enterprises; data interchange is facilitated by the simplicity with which these connections are established. This makes it possible to access the information within the organization, increasing the latter’s cost-effectiveness. For instance, Infosys Ltd launched industry cloud platform for organizations in 2022 to increase innovation and business value in the cloud across the financial services industry.
Lack of skilled resources
Developers can now design efficient cloud-based business operation solutions with the expanding adoption of cloud technologies and desirable delivery techniques across numerous industry verticals. To speed up the ML integration process, SMEs in the MLaaS industry prefer cloud-based services. Eliminating tedious work improves an organization's efficiency without adding more people. Though, lack of trained consultants, compliance problems, and regulatory limitations are some obstacles preventing this market's expansion. Therefore, in order to improve uniformity in the market environment, market participants should collaborate with governmental and regulatory agencies to improve the uniformity in the market environment.
Growing IoT in business operations
The information technology industry is expanding due to the increasing popularity of social media platforms and cloud computing technologies. Today, cloud computing services are extensively used by various companies that offer enterprise storage solutions. The ability to analyze real time data online using cloud storage is a benefit. Thanks to cloud computing, data analysis is now possible at any time and location. Businesses may also digitally access critical data from linked data warehouses and save money on infrastructure and storage costs by utilizing cloud and ML, which includes trends in customer behaviour and purchasing. The growth of cloud computing has led to the development of MLaaS industry. AI systems employ ML to speed up learning, self-correction, and reasoning. AI applications include expert systems, speech recognition, and machine vision, to name a few. Hence, AI is becoming increasingly popular as a result of modern initiatives like big data infrastructure and cloud computing.
Market Segments
Global Machine Learning as a Service Market is segmented into by component, by organization size, by application, by end-user and by region. Based on component, the market is segmented into Solution and Service. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Application, the market is segmented into Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality, Others. Based on End User, the market is further segmented into IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI.

Market Players
Major market players in the Global Machine Learning as a Service Market are Google Inc, SAS Institute Inc, Fair Isaac Corporation, Hewlett Packard Enterprise Development LP, Yottamine Analytics Inc., Amazon Web Services, BigML, Inc., Microsoft Corporation, IBM Corporation, Broadcom Corporation
Recent Developments
•Inflection AI received one of the largest fundraising rounds for artificial machine learning in June 2022, amounting to USD 225 million. It is said to be a startup for AI and machine learning. Venture capitalists have provided it with equity financing worth USD 225 million.
•Vertex AI, a new managed machine learning platform that enables users to maintain and deploy AI models based on client needs, was announced by Google Cloud in May 2021.


Report Scope:
In this report, Global Machine Learning as a Service Market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
•Machine Learning as a Service Market, By Component:
oSolution
oService
•Machine Learning as a Service Market, By Organization Size:
oSmall and Medium-Sized Enterprises
o Large Enterprises
•Machine Learning as a Service Market, By Application:
oMarketing & Advertising
oFraud Detection & Risk Management
oComputer vision
oSecurity & Surveillance
oPredictive analytics
oNatural Language Processing
oAugmented & Virtual Reality
oOthers
•Machine Learning as a Service Market, By End User:
oIT and Telecom
oAutomotive
oHealthcare
oAerospace and Defense
oRetail
oGovernment
oBFSI
•Machine Learning as a Service Market, By Region:
oNorth America
United States
Canada
Mexico
oAsia-Pacific
China
Japan
India
South Korea
Australia
Rest of Asia-Pacific
oEurope
Germany
UK
France
Italy
Spain
Rest of Europe
oMEA
Saudi Arabia
UAE
South Africa
Rest of MEA
oSouth America
Brazil
Argentina
Colombia
Rest of South America

Competitive Landscape

Competitive Landscape Detailed analysis of the major companies present in Global Machine Learning as a Service Market.

Available Customizations:
Global Machine Learning as a Service Market with the given market data, Tech Sci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information
•Detailed analysis and profiling of additional market players (up to five).
Table of Contents

1.Service Overview
1.1.Market Definition
1.2.Scope of the Study
2.Research Methodology
2.1.Baseline Methodology
2.2.Methodology Followed for Calculation of Market Size
2.3.Methodology Followed for Calculation of Market Shares
2.4.Methodology Followed for Forecasting
3.Executive Summary
4.Impact of COVID-19 on Global Machine Learning as a Service Market
5.Voice of Customer
5.1. Awareness of Machine Learning as a Service
5.2. Major Applications of Machine Learning as a Service
5.3. Key benefits of Machine Learning as a Service
5.4. Key vendor selection parameter
5.5.Major selection in adopting Machine Learning as a Service
5.6. Key vendor challenges
6.Global Machine Learning as a Service Market Outlook
6.1. Market Size & Forecast
6.1.1.By Value
6.2. Market Share & Forecast
6.2.1.By Component (Public, Private, Consortium and Hybrid)
6.2.2.By Organization Size (Large Enterprises, Small and Medium-Sized Enterprises)
6.2.3.By Application (BFSI, Healthcare & Pharmaceuticals, E-commerce & Retail, Media & Entertainment, IT & Telecom, and Others)
6.2.4.By End-User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI)
6.2.5.By Region
6.2.6.Key Takeaways
6.2.7.By Company (2022)
6.3.Market Map (By Component, By Organization Size, By Application, By End-User, By Region)
7.North America Machine Learning as a Service Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1.By Component
7.2.2.By Organization Size
7.2.3.By Application
7.2.4.By End-User
7.2.5.By Country
7.2.6.Key Takeaways
7.3.North America: Country Analysis
7.3.1.United States Machine Learning as a Service Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1.By Value
7.3.1.2.Market Share & Forecast
7.3.1.2.1.By Component
7.3.1.2.2.By Organization Size
7.3.1.2.3.By Application
7.3.1.2.4.By End-User
7.3.2.Canada Machine Learning as a Service Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1.By Value
7.3.2.2.Market Share & Forecast
7.3.2.2.1.By Component
7.3.2.2.2.By Organization Size
7.3.2.2.3.By Application
7.3.2.2.4.By End-User
7.3.3.Mexico Machine Learning as a Service Market Outlook
7.3.3.1.Market Size & Forecast
7.3.3.1.1.By Value
7.3.3.2.Market Share & Forecast
7.3.3.2.1.By Component
7.3.3.2.2.By Organization Size
7.3.3.2.3.By Application
7.3.3.2.4.By End-User
8.Europe Machine Learning as a Service Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1.By Component
8.2.2.By Organization Size
8.2.3.By Application
8.2.4.By End-User
8.2.5.By Country
8.2.6.Key Takeaways
8.3. Europe: Country Analysis
8.3.1.Germany Machine Learning as a Service Market Outlook
8.3.1.1.Market Size & Forecast
8.3.1.1.1.By Value
8.3.1.2.Market Share & Forecast
8.3.1.2.1.By Component
8.3.1.2.2.By Organization Size
8.3.1.2.3.By Application
8.3.1.2.4.By End-User
8.3.2.United Kingdom Machine Learning as a Service Market Outlook
8.3.2.1.Market Size & Forecast
8.3.2.1.1.By Value
8.3.2.2.Market Share & Forecast
8.3.2.2.1.By Component
8.3.2.2.2.By Organization Size
8.3.2.2.3.By Application
8.3.2.2.4.By End-User
8.3.3.France Machine Learning as a Service Market Outlook
8.3.3.1.Market Size & Forecast
8.3.3.1.1.By Value
8.3.3.2.Market Share & Forecast
8.3.3.2.1.By Component
8.3.3.2.2.By Organization Size
8.3.3.2.3.By Application
8.3.3.2.4.By End-User
8.3.4.Italy Machine Learning as a Service Market Outlook
8.3.4.1.Market Size & Forecast
8.3.4.1.1.By Value
8.3.4.2.Market Share & Forecast
8.3.4.2.1.By Component
8.3.4.2.2.By Organization Size
8.3.4.2.3.By Application
8.3.4.2.4.By End-User
8.3.5.Spain Machine Learning as a Service Market Outlook
8.3.5.1.Market Size & Forecast
8.3.5.1.1.By Value
8.3.5.2.Market Share & Forecast
8.3.5.2.1.By Component
8.3.5.2.2.By Organization Size
8.3.5.2.3.By Application
8.3.5.2.4.By End-User
9.Asia Pacific Machine Learning as a Service Market Outlook
9.1.Market Size & Forecast
9.1.1. By Value
9.2.Market Share & Forecast
9.2.1.By Component
9.2.2.By Organization Size
9.2.3.By Application
9.2.4.By End-User
9.2.5.By Country
9.2.6.Key Takeaways
9.3.Asia Pacific: Country Analysis
9.3.1.China Machine Learning as a Service Market Outlook
9.3.1.1.Market Size & Forecast
9.3.1.1.1.By Value
9.3.1.2.Market Share & Forecast
9.3.1.2.1.By Component
9.3.1.2.2.By Organization Size
9.3.1.2.3.By Application
9.3.1.2.4.By End-User
9.3.2. Japan Machine Learning as a Service Market Outlook
9.3.2.1.Market Size & Forecast
9.3.2.1.1.By Value
9.3.2.2.Market Share & Forecast
9.3.2.2.1.By Component
9.3.2.2.2.By Organization Size
9.3.2.2.3.By Application
9.3.2.2.4.By End-User
9.3.3.India Machine Learning as a Service Market Outlook
9.3.3.1.Market Size & Forecast
9.3.3.1.1.By Value
9.3.3.2.Market Share & Forecast
9.3.3.2.1.By Component
9.3.3.2.2.By Organization Size
9.3.3.2.3.By Application
9.3.3.2.4.By End-User
9.3.4.South Korea Machine Learning as a Service Market Outlook
9.3.4.1.Market Size & Forecast
9.3.4.1.1.By Value
9.3.4.2.Market Share & Forecast
9.3.4.2.1.By Component
9.3.4.2.2.By Organization Size
9.3.4.2.3.By Application
9.3.4.2.4.By End-User
9.3.5.Australia Machine Learning as a Service Market Outlook
9.3.5.1.Market Size & Forecast
9.3.5.1.1.By Value
9.3.5.2.Market Share & Forecast
9.3.5.2.1.By Component
9.3.5.2.2.By Organization Size
9.3.5.2.3.By Application
9.3.5.2.4.By End-User
10.Middle East & Africa Machine Learning as a Service Market Outlook
10.1.Market Size & Forecast
10.1.1. By Value
10.2.Market Share & Forecast
10.2.1.By Component
10.2.2.By Organization Size
10.2.3.By Application
10.2.4.By End-User
10.2.5.By Country
10.2.6.Key Takeaways
10.3.Middle East & Africa: Country Analysis
10.3.1.Saudi Arabia Machine Learning as a Service Market Outlook
10.3.1.1.Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2.Market Share & Forecast
10.3.1.2.1.By Component
10.3.1.2.2.By Organization Size
10.3.1.2.3.By Application
10.3.1.2.4.By End-User
10.3.2.UAE Machine Learning as a Service Market Outlook
10.3.2.1.Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2.Market Share & Forecast
10.3.2.2.1.By Component
10.3.2.2.2.By Organization Size
10.3.2.2.3.By Application
10.3.2.2.4.By End-User
10.3.3.South Africa Machine Learning as a Service Market Outlook
10.3.3.1.Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2.Market Share & Forecast
10.3.3.2.1.By Component
10.3.3.2.2.By Organization Size
10.3.3.2.3.By Application
10.3.3.2.4.By End-User
11.South America Machine Learning as a Service Market Outlook
11.1.Market Size & Forecast
11.1.1.By Value
11.2.Market Share & Forecast
11.2.1.By Component
11.2.2.By Organization Size
11.2.3.By Application
11.2.4.By End-User
11.2.5.By Country
11.2.6.Key Takeaways
11.3.South America: Country Analysis
11.3.1.Brazil Machine Learning as a Service Market Outlook
11.3.1.1.Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2.Market Share & Forecast
11.3.1.2.1.By Component
11.3.1.2.2.By Organization Size
11.3.1.2.3.By Application
11.3.1.2.4.By End-User
11.3.2.Argentina Machine Learning as a Service Market Outlook
11.3.2.1.Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2.Market Share & Forecast
11.3.2.2.1.By Component
11.3.2.2.2.By Organization Size
11.3.2.2.3.By Application
11.3.2.2.4.By End-User
11.3.3.Colombia Machine Learning as a Service Market Outlook
11.3.3.1.Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2.Market Share & Forecast
11.3.3.2.1.By Component
11.3.3.2.2.By Organization Size
11.3.3.2.3.By Application
11.3.3.2.4.By End-User
12.Market Dynamics
12.1.Drivers
12.1.1.Increase demand for cloud computing
12.1.2.Growth associate with cognitive computing & AI
12.1.3.Rise in adoption of analytics solutions
12.2.Challenges
12.2.1.Lack of skilled resources
12.2.2.Lacking infrastructure
13.Market Trends and Developments
13.1.Increasing customer facing activities
13.2.Smarter back office & operations
13.3.Growing use of machine learning in retail sector
13.4.Mergers & Acquisitions
13.5.Exponential growth of big data
14.Company Profiles
14.1.Google Inc
14.1.1.Company Overview
14.1.2.Product Portfolio
14.1.3.SWOT Analysis
14.1.4.Key Personals
14.1.5.Recent Developments/Updates
14.2.SAS Institute Inc
14.2.1.Company Overview
14.2.2.Product Portfolio
14.2.3.SWOT Analysis
14.2.4.Key Personals
14.2.5.Recent Developments/Updates
14.3.Fair Isaac Corporation
14.3.1.Company Overview
14.3.2.Product Portfolio
14.3.3.SWOT Analysis
14.3.4.Key Personals
14.3.5.Recent Developments/Updates
14.4.Hewlett Packard Enterprise Development LP
14.4.1.Company Overview
14.4.2.Product Portfolio
14.4.3.SWOT Analysis
14.4.4.Key Personals
14.4.5.Recent Developments/Updates
14.5.Yottamine Analytics Inc.
14.5.1.Company Overview
14.5.2.Product Portfolio
14.5.3.SWOT Analysis
14.5.4.Key Personals
14.5.5.Recent Developments/Updates
14.6.Amazon Web Services
14.6.1.Company Overview
14.6.2.Product Portfolio
14.6.3.SWOT Analysis
14.6.4.Key Personals
14.6.5.Recent Developments/Updates
14.7.BigML, Inc.
14.7.1.Company Overview
14.7.2.Product Portfolio
14.7.3.SWOT Analysis
14.7.4.Key Personals
14.7.5.Recent Developments/Updates
14.8.Microsoft Corporation
14.8.1.Company Overview
14.8.2.Product Portfolio
14.8.3.SWOT Analysis
14.8.4.Key Personals
14.8.5.Recent Developments/Updates
14.9.IBM Corporation
14.9.1.Company Overview
14.9.2.Product Portfolio
14.9.3.SWOT Analysis
14.9.4.Key Personals
14.9.5.Recent Developments/Updates
14.10.Broadcom Corporation
14.10.1.Company Overview
14.10.2.Product Portfolio
14.10.3.SWOT Analysis
14.10.4.Key Personals
14.10.5.Recent Developments/Updates
15.Strategic Recommendations
15.1.Use sophisticated algorithms for data utilizing
15.2.Use customer churn modelling
16.About Us & Disclaimer

Report Title: Machine Learning as a Service Market- Global Industry Size, Share, Trends, Opportunities, and Forecast 2018-2028F Segmented By Component (Solution, Service), By Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), By Application (Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality, Others), By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI), By Region, Competition


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