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Market Research Report

Machine Learning as a Service Market, By Deployment By End-use Application and by Region - Size, Share, Outlook, and Opportunity Analysis, 2019 - 2027

Published by Coherent Market Insights Product code 936198
Published Content info 130 Pages
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Machine Learning as a Service Market, By Deployment By End-use Application and by Region - Size, Share, Outlook, and Opportunity Analysis, 2019 - 2027
Published: April 5, 2020 Content info: 130 Pages
Description

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 (2019-2027), considering 2018 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.
Table of Contents

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Deployment
    • Market Snippet, By End-use Application
    • Market Snippet, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Regulatory Scenario
  • Industry Trend
  • Merger and Acquisitions
  • New system Launch/Approvals

4. Global Machine Learning as a Service (MLaaS) Market, By Deployment, 2017-2027 (US$ Million)

  • Introduction
    • Market Share Analysis, 2017 and 2027 (%)
    • Segment Trends
  • Public Cloud
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Private Cloud/Virtual Private Cloud
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)

5. Global Machine Learning as a Service (MLaaS) Market, By End-use Application, 2017-2027 (US$ Million)

  • Introduction
    • Market Share Analysis, 2017 and 2027 (%)
    • Segment Trends
  • Manufacturing
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Retail
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Healthcare & Life Sciences
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Telecom
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Banking, Financial services and Insurance (BFSI)
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)
  • Others (Energy & Utilities, Government, Education etc.)
    • Introduction
    • Market Size and Forecast, 2019-2027, (US$ Million)

6. Global Machine Learning as a Service (MLaaS) Market, By Region, 2017-2027 (US$ Million)

  • Introduction
    • Market Share Analysis, By Region, 2017 and 2027 (%)
  • North America
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2019-2027 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2019-2027 (US$ Million)
    • Market Share Analysis, By Country, 2019 and 2027 (%)
    • U.S.
    • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2019-2027 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2019-2027 (US$ Million)
    • Market Share Analysis, By Country, 2019 and 2027 (%)
    • U.K.
    • Germany
    • Italy
    • France
    • Russia
    • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2019-2027 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2019-2027 (US$ Million)
    • Market Share Analysis, By Country, 2019 and 2027 (%)
    • China
    • India
    • Japan
    • ASEAN
    • Australia
    • South Korea
    • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2019-2027 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2019-2027 (US$ Million)
    • Market Share Analysis, By Country, 2019 and 2027 (%)
    • Brazil
    • Argentina
    • Mexico
    • Rest of Latin America
  • Middle East and Africa
    • Regional Trends
    • Market Size and Forecast, By Deployment, 2019-2027 (US$ Million)
    • Market Size and Forecast, By End-use Application, 2019-2027 (US$ Million)
    • Market Share Analysis, By Country, 2019 and 2027 (%)
    • GCC Countries
    • South Africa
    • Rest of the Middle East and Africa

7. Competitive Landscape

  • Company Profiles
    • H2O.ai
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Google Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Predictron Labs Ltd
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • IBM Corporation
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Ersatz Labs Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Microsoft Corporation
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Yottamine Analytics
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • Amazon Web Services Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • FICO
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates
    • BigML Inc.
    • Company Overview
    • Product Portfolio
    • Financial Performance
    • Key Strategies
    • Recent Developments/Updates

8. Section

  • References
  • Research Methodology
  • About us and Sales Contact
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