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Strategic Analysis on Global Machine Learning as a Service (MLaaS) Market, 2016

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Avail more information from Sample Brochure of report @ A detailed qualitative analysis of the factors responsible for driving and restraining growth of the Machine Learning as a Service (MLaaS) Market by Component (Software Tools, Services), Organization Size, Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, Network Analytics), Service and Region - Global Forecast to 20211 Industry Market and future opportunities are provided in the report. – PowerPoint PPT presentation

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Title: Strategic Analysis on Global Machine Learning as a Service (MLaaS) Market, 2016


1
Machine Learning as a Service (MLaaS) Market -
Global Forecast to 2021
Published on 01 November, 2016 Number of
pages N/A Single User Price 5650
Machine Learning as a Service (MLaaS) Market by
Component (Software Tools, Services),
Organization Size, Application (Marketing, Risk
Analytics Fraud Detection, Predictive
Maintenance, Network Analytics), Service and
Region - Global Forecast to 2021
The Machine Learning as a Service Market size is
estimated to grow from USD 613.4 Million in 2016
to USD 3,755.0 Million by 2021, at a Compound
Annual Growth Rate (CAGR) of 43.7 from 2016 to
2021. The base year considered for the report is
2015 and the forecast period is 20162021.
Click Here To Check Complete Report
2
Objectives of the study The main objective of
this report is to define, describe, and forecast
the global Machine Learning as a Service Market
on the basis of components, which include
solutions/tools, services, and service models,
along with application areas and regions. The
report provides detailed information regarding
the major factors influencing the growth of the
market (drivers, restraints, opportunities, and
industry-specific challenges). The report
attempts to forecast the market size with respect
to five main regions, namely, North America,
Europe, Asia-Pacific (APAC), Latin America, and
Middle East Africa (MEA). The report
strategically profiles key players and
comprehensively analyzes their core competencies.
This report also tracks and analyzes competitive
developments such as joint ventures, Mergers and
Acquisitions (MA), new product developments, and
Research Development (RD) activities in the
MLaaS market.
3
The research methodology used to estimate and
forecast the Machine Learning as a Service Market
begins with collection and analysis of data on
key vendor revenues through secondary research
such as annual reports and press releases,
investor presentations of companies, white
papers, technology journals including SDxCentral,
MLaaS evolution, certified publications, and
articles from recognized authors, directories,
and databases. The vendor offerings have also
been taken into consideration to determine the
market segmentation. The bottom-up procedure was
employed to arrive at the total market size of
the global MLaaS market from the revenue of the
key solution and service providers in the market.
After arriving at the overall market size, the
total market was split into several segments and
subsegments, which were then verified through
primary research by conducting extensive
interviews with key people, such as CEOs, VPs,
directors, and executives. The data triangulation
and market breakdown procedures were employed to
complete the overall market engineering process
and to arrive at the exact statistics for all
segments and subsegments.
4
Key Players The MLaaS ecosystem comprises
Microsoft (U.S.), IBM (U.S.), Amazon Web Services
(U.S.), Google (U.S.), and BigML (U.S.). The
other companies profiled in the report include
ATT (U.S.), Fuzzy.ai (Canada), Yottamine
Analytics (U.S.), Ersatz Labs, Inc. (U.S.), and
Sift Science, Inc. (U.S.).
Key Target Audience
  • Machine learning/Artificial Intelligence (AI)
    solution and service providers
  • System integrators
  • Enterprise data center professionals
  • End users/consumers/enterprise users
  • Telecommunication providers
  • Mobile network operators

5
  • Cloud service providers
  • Data center software vendors
  • IoT device/wearable device manufacturers
  • Cognitive and AI technology experts/providers
  • Analytics providers
  • Managed service providers
  • Consultants
  • Training and education service providers

Study answers several questions for the
stakeholders, primarily which market segments to
focus in next two to five years for prioritizing
the efforts and investments.
Avail more information from Sample Brochure of
report
6
Scope of the Report The research report segments
the market into the following submarkets
  • By Component
  • Software tools
  • Data storage and archiving
  • Modeler and processing
  • Cloud and web-based Application Programming
    Interface (APIs)
  • Others (model validator, decision
    report/predictor/training, and report storage)
  • By Service
  • Professional services
  • Managed services

7
  • By Enterprise Application
  • Marketing and advertising
  • Risk analytics and fraud detection
  • Predictive maintenance (pattern recognition
    generation and anomaly detection)
  • Augmented reality (pattern recognition
    generation, object recognition, automated
    simulation, and prediction/recommendation)
  • Network analytics and automated traffic
    management (SDN and NFV/automated traffic
    generation)
  • Others (data classification, recommendation
    engines, social media and customer analytics, and
    sales lifecycle management)

8
  • By Organization Size
  • Small and Medium Enterprises (SMEs)
  • Large enterprises
  • By Region
  • North America
  • Europe
  • Asia-Pacific (APAC)
  • Rest of the World (RoW)

9
Available Customizations With the given market
data, Publisher offers customizations as per the
companys specific needs. The following
customization options are available for the
report
  • Geographic Analysis
  • Further breakdown of the European MLaaS market
  • Further breakdown of the APAC MLaaS market
  • Company Information
  • Detailed analysis and profiling of additional
    market players

Make an Inquiry Before Buying
10
Machine Learning as a Service (MLaaS) Market -
Global Forecast to 2021
A detailed qualitative analysis of the factors
responsible for driving and restraining growth of
Machine Learning as a Service (MLaaS) Market by
Component (Software Tools, Services),
Organization Size, Application (Marketing, Risk
Analytics Fraud Detection, Predictive
Maintenance, Network Analytics), Service and
Region - Global Forecast to 2021 and future
opportunities are provided in the report.
Contact 1-302-261-5343 pr_at_marketintelreports.com
www.marketintelreports.com
Click here to order a copy of Machine Learning as
a Service (MLaaS) Market Report
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