Machine Learning as a Service (MLaaS) Market, By Deployment (Public Cloud, Private Cloud/Virtual Private Cloud) By End-use Application (Manufacturing, Retail, Healthcare & Life Sciences, Telecom, Banking, Financial services and Insurance (BFSI), Others (E

Machine Learning as a Service (MLaaS) Market, By Deployment (Public Cloud, Private Cloud/Virtual Private Cloud) By End-use Application (Manufacturing, Retail, Healthcare & Life Sciences, Telecom, Banking, Financial services and Insurance (BFSI), Others (Energy & Utilities, Government, Education etc.) and by Region (North America, Europe, Asia Pacific, Latin America, Middle East and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028

Machine learning as-a-service refers to various types of services that offer machine learning abilities as a part of cloud-computing services. MLaaS providers offer various machine learning tools including API, predictive analytics, deep learning, data visualization, natural language processing, etc. MLaaS assists its customers to gain advantage from machine learning without additional cost, risk, and time for creating an in-house internal machine learning team. A number of cloud computing service providers offer machine learning as a service including Amazon, IBM Corporation, and Microsoft Corporation. Moreover, MLaaS is offered on a limited trial basis for a developer to evaluate before committing to a particular platform. The major advantage that MLaaS offers to businesses is that it enables them to get started quickly with machine learning without undergoing tedious software installation processes. Companies can enhance their product capabilities and offerings, enhance regular business operation efficiency, make interaction with consumers easier, and use AI prediction capabilities.
Market Dynamics
In 20th century data is considered as new oil. Due to this many technology companies are heavily investing in data. These data may be structured and unstructured forms. It has become extremely crucial for these organizations to get a better insight into their data, in order to enhance efficiency and competitiveness. Moreover, many organizations are increasingly adopting machine learning as a service to analyze both structured and unstructured data for future predictions and also use it for further marketing purposes.
Moreover, cloud based data in continuously growing Cisco system Inc., anticipated in 2015, 65% of data was cloud based hoverer it is estimated that cloud based data will reach around 92% by 2020. As more and more companies are preferring cloud computing, it has become easy for them to adopt machine learning services. Moreover, as an ever-increasing number of organizations are leaning toward machine learning, it has gotten simple for them to receive machine learning services. Thus use of big data and increasing use of cloud technology are expected to drive growth of the global machine learning as a service (MLaaS) market during the forecast period.
Market Taxonomy
This report segments the global machine learning as a service (MLaaS) market on the basis of Deployment, End Use application and region. On the basis of Deployment, global machine learning as a service (MLaaS) market is segmented into Public Cloud and Private Cloud/Virtual Private Cloud. On the basis of application, the global machine learning as a service (MLaaS) market is segmented into Manufacturing, Retail, Healthcare & Life Sciences, Telecom, Banking, Financial services and Insurance (BFSI) and Others (Energy & Utilities, Government, Education etc.). On the basis of region, global machine learning as a service (MLaaS) market is segmented into North America, Latin America, Europe, Asia pacific, Middle East and Africa.
Key features of the study:
This report provides an in-depth analysis of the global machine learning as a service (MLaaS) market and provides market size (US$ million) and compound annual growth rate (CAGR %) for the forecast period (2022-2028), considering 2021 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrix for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, regional outlook, and competitive strategy adopted by leading players
It profiles leading players in the global machine learning as a service (MLaaS) market based on the following parameters – regulatory landscape, company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments and strategies, and future plans
Key companies covered in the global machine learning as a service (MLaaS) market includes H2O.ai, Google Inc., Predictron Labs Ltd, IBM Corporation, Ersatz Labs Inc., Microsoft Corporation, Yottamine Analytics, Amazon Web Services Inc., FICO, and BigML Inc.
These key market players are focusing on collaboration strategy with other market leaders to innovate and launch new products to meet the increasing needs and requirements of consumers.
Insights from this report would allow marketers and management authorities of companies to make informed decision regarding future product launches, technology upgradation, market expansion, and marketing tactics
The global machine learning as a service (MLaaS) market report caters to various stakeholders in this industry including investors, suppliers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through the various strategy matrices used in analyzing the global machine learning as a service (MLaaS) market.
Detailed Segmentation:
Global Machine Learning as a Service (MLaaS) Market, By Deployment:
Public Cloud
Private Cloud/Virtual Private Cloud
Global Machine Learning as a Service (MLaaS) Market, By End-use Application:
Manufacturing
Retail
Healthcare & Life Sciences
Telecom
Banking, Financial services and Insurance (BFSI)
Others (Energy & Utilities, Government, Education etc.)
Global Machine Learning as a Service (MLaaS) Market, By Region:
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Company Profiles
H2O.ai*
Company Overview
Product Portfolio
Financial Performance
Key Strategies
Recent Developments
Future Plans
Google Inc.
Predictron Labs Ltd
IBM Corporation
Ersatz Labs Inc.
Microsoft Corporation
Yottamine Analytics
Amazon Web Services Inc.
FICO
BigML Inc.
*Browse all the market data tables and figures on “Global Machine Learning as a Service (MLaaS) Market- Forecast to 2027”