New Era in Machine Learning as a Service Market: Competitive Landscape, future Scenario Led by Top Vendors

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Worldwide Machine Learning as a Service Market: Overview

This report on the global machine learning as a service market provides analysis for the period 2015–2025, wherein 2016 is the base year and the period from 2017 to 2025 is the forecast period. Data for 2015 has been included as historical information. The report covers market dynamics including drivers, restraints opportunities, and trends expected to influence the global machine learning as a service market growth during the said period. Technologies that are playing a major role in the driving the global machine learning as a service market have also been covered in the study. The study provides a comprehensive analysis on market growth throughout the above forecast period in terms of revenue estimates (in US$ Mn), across different geographies.

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The report also includes key developments in the machine learning as a service market form 2006 onwards. Porter Five Force analysis which identifies bargaining power of supplier, bargaining power of buyer, threat from new entrant, threat from substitute and threat from competition in machine learning as a service market is also included in the report. Ecosystem analysis which identifies key stake holders in the machine learning as a service market is also covered in the report. The report also covers segment wise comparison matrix, market attractiveness analysis and market share analysis for all regions covered in the scope of study.

The report also includes competition landscape which include competition matrix, market share analysis of major players in the global machine learning as a service market based on their 2016 revenues and profiles of major players. Competition matrix benchmarks leading players on the basis of their capabilities and potential to grow. Factors including market position, offerings and R&D focus are attributed to company’s capabilities. Factors including top line growth, market share, segment growth, infrastructure facilities and future outlook are attributed to company’s potential to grow. This section also identifies and includes various recent developments carried out by the leading players.

Comparison matrix includes segment growth matrix, 2017 – 2025 (%), segment revenue contribution, 2017 – 2025 (%), and segment compounded growth matrix (CAGR %). Market attractiveness identifies and compares segments market attractiveness on the basis of CAGR and market share index.

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Global Machine Learning as a Service Market: Competitive Landscape

Company profiling includes company overview, major business strategies adopted, SWOT analysis and market revenues for year 2014 to 2016. The key players profiled in the global machine learning as a service market include IBM Corporation, Google Inc., Amazon Web Services, Microsoft Corporation, BigMl Inc., FICO, Yottamine Analytics, Ersatz Labs Inc, Predictron Labs Ltd and H2O.ai. Other players include ForecastThis Inc., Hewlett Packard Enterprise, Datoin, Fuzzy.ai, Sift Science, Inc. among others.

. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights

  1. Assumptions and Research Methodology
  2. Executive Summary: Global Machine Learning as a Service Market
  3. Market Overview
    4.1. Introduction
    4.1.1. Key Industry Developments
    4.2. Market Dynamics
    4.2.1. Drivers
    4.2.2. Restraints
    4.2.3. Opportunities
    4.3. Key Trends
    4.4. Porter’s Five Force Analysis
    4.5. Ecosystem Analysis: Machine Learning as a Service Market
    4.6. Global Machine Learning as a Service Market Analysis and Forecasts, 2015 – 2025
    4.6.1. Market Revenue Projections (US$ Mn)
    4.7. Market Outlook
  4. Global Machine Learning as a Service Market Analysis and Forecast, by Deployment Type
    5.1. Introduction & Definition
    5.2. Key Findings
    5.3. Market Size (US$ Mn) and Forecast, by Deployment Type, 2015 – 2025
    5.3.1. Public Cloud
    5.3.2. Private Cloud/Virtual Private Cloud (VPC)
    5.4. Deployment Type Comparison Matrix
    5.5. Market Attractiveness, by Deployment Type
  5. Global Machine Learning as a Service Market Analysis and Forecast, by End Use Application
    6.1. Introduction & Definition
    6.2. Key Findings
    6.3. Market Size (US$ Mn) and Forecast, by End Use Application, 2015 – 2025
    6.3.1. Manufacturing
    6.3.2. Retail
    6.3.3. Healthcare & Life Sciences
    6.3.4. Telecom
    6.3.5. BFSI
    6.3.6. Others (Energy & Utilities, Education, Government etc.)
    6.4. End Use Application Comparison Matrix
    6.5. Market Attractiveness, by End Use Application

 

 

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