Global Machine Learning As A Service Market Report By Application (Marketing & Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection & Risk Analytics And Other), Organization Size (Small And Medium Enterprises And Large Enterprises), End User (IT & Telecom, Automotive, Healthcare, Aerospace & Defense, Retail, Government, BFSI And Other) And By Regions - Industry Trends, Size, Share, Growth, Estimation And Forecast, 2018-2025
ID:VMR11210820
April 2019
Report Formats:

The global demand for Machine Learning As A Service Market is presumed to reach the valuation of nearly USD XX.X Mn by 2025 from USD XX.X in 2018 with a CAGR of X.XX% under the study period of 2019 - 2025.

Machine learning as a service (MLaaS) is a solution that includes a range of services to enhance the performance of machines across various industries. It offers various machine learning tools including data visualization, APIs (application program interface), face recognition, natural language processing, predictive analytics, and deep learning among others. The deployment of machine learning can improve the speed and accuracy of the functions performed by the system.
 
Market Dynamics
 
The rapidly increasing amount of data across the industries along with increasing adoption of cloud-based technologies is driving the market growth. Rising need to understand customer behavior is again boosting the market growth. Increasing adoption of IoT and automation system across various sectors is further fuelling market growth. However, privacy & data security concerns associated with the online platform may hamper market growth. Whereas, emerging options in application areas of MLaaS is likely to offer opportunity over the forecast timeframe.
 
The report covers Porter’s Five Forces Model, Market Attractiveness Analysis and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level.
 
Additionally, these tools also give inclusive assessment of each application/product segment in the global market of machine learning as a service.
 
Market Segmentation
 
The entire machine learning as a service market has been sub-categorized into application, organization size and end-user. The report provides an analysis of these subsets with respect to the geographical segmentation. This research study will keep marketer informed and helps to identify the target demographics for a product or service.
 
By Application

  • Marketing & Advertisement
  • Predictive Maintenance
  • Automated Network Management
  • Fraud Detection & Risk Analytics
  • Other
 
By Organization Size
  • Small And Medium Enterprises
  • Large Enterprises
 
By End User
  • IT & Telecom
  • Automotive
  • Healthcare
  • Aerospace & Defense
  • Retail
  • Government
  • BFSI
  • Other
 
Regional Analysis
 
This section covers regional segmentation which accentuates on current and future demand for machine learning as a service market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand for individual application segment across all the prominent regions.
 
Europe Machine Learning As A Service Market By Revenue (USD MN)

Europe Machine Learning As A Service Market By Revenue

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the machine learning as a service market include Amazon Web Services, Inc., BigML Inc., Fair Isaac Corporation, FICO, Google Inc., Hewlett Packard Enterprise, IBM Corporation, Iflowsoft Solutions Inc., Microsoft Corporation, PurePredictive, SAS Institute Inc., Sift Science, Inc., Yottamine Analytics, LLC, and others. This section includes a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
                                          
 
METHODOLOGY:
 
This market research report has been produced by gathering information on the basis of primary and secondary research. Secondary research has been done by using various sources which include (but not limited to) Company Websites, Paid Data Sources,  Technical Journals, Financial Reports, SEC Filings, and other different industry publications.
 
If specific information is required which is not currently within the scope of the report, it can be provided as a part of customization.

1. INTRODUCTION

  • Introduction To Machine Learning As A Service
  • Report Description
    • Objectives Of The Study
    • Assumptions
  • Research Scope
  • Research Methodology
    • Data Source
 
2. EXECUTIVE SUMMARY
  • Market Highlight
  • Global Machine Learning As A Service Market: Snapshot
 
3. MARKET ANALYSIS
  • Drivers
  • Restraints
  • Opportunities
  • Porter’s Five Forces Analysis
  • Value Chain Analysis
 
4. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY APPLICATION
  • Market In Marketing & Advertisement
  • Market In Predictive Maintenance
  • Market In Automated Network Management
  • Market In Fraud Detection & Risk Analytics
  • Market In Other
 
5. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY ORGANIZATION SIZE
  • Market In Small and Medium Enterprises
  • Market In Large Enterprises
 
6. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY END USER
  • Market In IT & Telecom
  • Market In Automotive
  • Market In Healthcare
  • Market In Aerospace & Defense
  • Market In Retail
  • Market In Government
  • Market In BFSI
  • Market In Other
 
7. MACHINE LEARNING AS A SERVICE MARKET ANALYSIS BY GEOGRAPHY
  • North America (NA)
    • North America Market Estimates
    • North America Market Estimates By Country
    • United States (U.S.) Market Estimates By Segments
    • Rest Of North America Market Estimates By Segments
  • Europe (EU)
    • Europe Market Estimates
    • Europe Market Estimates By Country
    • United Kingdom (UK) Market Estimates By Segments
    • Germany Market Estimates By Segments
    • France Market Estimates By Segments
    • Rest Of Europe Market Estimates By Segments
  • Asia Pacific (APAC)
    • Asia Pacific Market Estimates
    • Asia Pacific Market Estimates By Country  
    • China Market Estimates By Segments
    • Japan Market Estimates By Segments
    • India Market Estimates By Segments
    • Rest Of Asia Pacific Market Estimates By Segments  
  • Latin America (LA)   
    • Latin America Market Estimates
    • Latin America Market Estimates By Country
    • Brazil Market Estimates By Segments
    • Rest Of Latin America Market Estimates By Segments
  • Middle East And Africa (MEA)   
    • Middle East And Africa Market Estimates
    • Middle East And Africa Market Estimates By Country
    • Middle East Market Estimates By Segments
    • Africa Market Estimates By Segments
 
8. COMPETITIVE LANDSCAPE OF THE MACHINE LEARNING AS A SERVICE COMPANIES
  • Market Competition
  • Partnerships/Collaborations/Agreements
  • Mergers And Acquisitions
  • New Product Launches
  • Other Developments
 
9. COMPANY PROFILES OF THE MACHINE LEARNING AS A SERVICE INDUSTRY (Company Overview, Financial, Major Products & Recent Development)
  • Amazon Web Services, Inc.
  • BigML Inc.
  • Fair Isaac Corporation, FICO
  • Google Inc.
  • Hewlett Packard Enterprise
  • IBM Corporation
  • Iflowsoft Solutions Inc.
  • Microsoft Corporation
  • PurePredictive
  • SAS Institute Inc.
  • Sift Science, Inc.
  • Yottamine Analytics, LLC
 
* Tentative TOC
 
LIST OF TABLES
 
Table 1.  Market Highlights Of Machine Learning As A Service
Table 2.  Global Machine Learning As A Service Market By Application
Table 3.  Global Machine Learning As A Service Market By Organization Size
Table 4.  Global Machine Learning As A Service Market By End-User
Table 5.  Global Machine Learning As A Service Market By Geography
Table 6.  North America Machine Learning As A Service Market
Table 7.  Europe Machine Learning As A Service Market
Table 8.  Asia Pacific Machine Learning As A Service Market
Table 9.  Latin America Machine Learning As A Service Market
Table 10. Middle East And Africa Machine Learning As A Service Market 
Table 11. Partnership/Collaboration/Agreements
Table 12. Mergers And Acquisitions
Table 13. New Product Development
Table 14. Other Developments
  
LIST OF FIGURES
 
Fig. 1.     Market Segmentation Of Machine Learning As A Service Market 
Fig. 2.     Top-Down Approach   
Fig. 3.     Bottom-Up Approach   
Fig. 4.     Market Highlights Of Machine Learning As A Service
Fig. 5.     Porter’s Five Forces Analysis
Fig. 6.     Value Chain Analysis
Fig. 7.     Global Machine Learning As A Service Market By Application
Fig. 8.     Global Machine Learning As A Service Market By Organization Size
Fig. 9.     Global Machine Learning As A Service Market By End-User
Fig. 10.   Global Machine Learning As A Service Market By Geography
Fig. 11.   North America Machine Learning As A Service Market
Fig. 12.   Europe Machine Learning As A Service Market
Fig. 13.   Asia Pacific Machine Learning As A Service Market
Fig. 14.   Latin America Machine Learning As A Service Market
Fig. 15.   Middle East And Africa Machine Learning As A Service Market
Fig. 16.   Market Share Of Machine Learning As A Service Companies
Fig. 17.   Recent Developments In Machine Learning As A Service Industry
 
 
* Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.  

Objectives of Study

  • Define and measure the global market
  • Volume or revenue forecast of the global market and its various sub-segments with respect to main geographies
  • Analyze and identify major market trends along with the factors driving or inhibiting the market growth
  • Study the company profiles of the major market players with their market share
  • Analyze competitive developments

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