Machine Learning as a Service Market to Rise at 38.40% CAGR by 2025 with Share US $19.86 Bn

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Albany, NY — (PRESS RELEASE JET) — 10/13/2017 — Global 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.

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.

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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.

Global Machine Learning as a Service Market: Market Segmentation

The machine learning as a service market has been segmented on the basis of deployment type and end use application. Based on deployment type, the market has been further classified into public cloud and private cloud. By end use application, the market is further classified into manufacturing, retail, healthcare & life sciences, telecom, BFSI and others (energy & utilities, education, government etc.)

Geographically, the report classifies the global machine learning as a service market into North America, Europe, Asia Pacific, Middle East & Africa (MEA), and South America; the regions are analyzed in terms of revenue generation. Furthermore, region wise prominent countries covered in the report include the following – the U.S, Canada, Germany, France, the U.K., China, India, Japan, Australia, UAE, Saudi Arabia, South Africa, Brazil and Argentina.

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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.

The global Machine Learning as a Service market is segmented as below:

Global Machine Learning as a Service Market, By Deployment Type

Public Cloud
Private Cloud

Global Machine Learning as a Service Market, By End Use Application

Manufacturing
Retail
Healthcare & Life Sciences
Telecom
BFSI
Others (Energy & Utilities, Education, Government etc.)

Global Machine Learning as a Service Market, By Geography

North America
The U.S.
Canada
Rest of North America
Europe
Germany
France
The U.K
Rest of Europe
Asia Pacific (APAC)
India
Japan
China
Australia
Rest of APAC
Middle East and Africa (MEA)
UAE
Saudi Arabia
South Africa
Rest of MEA
South America
Brazil
Argentina
Rest of South America

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

2. Assumptions and Research Methodology

3. Executive Summary: Global Machine Learning as a Service Market

4. 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

5. 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

6. 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

7. Global Machine Learning as a Service Market Analysis and Forecast by Region
7.1. Key Findings
7.2. Market Size (US$ Mn) and Forecast by Region, 2015 – 2025
7.2.1. North America
7.2.2. Europe
7.2.3. Asia Pacific
7.2.4. Middle East and Africa
7.2.5. South America
7.3. Market Attractiveness by Region

8. North America Machine Learning as a Service Market Analysis and Forecast
8.1. Key Findings
8.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
8.2.1. Public Cloud
8.2.2. Private Cloud/Virtual Private Cloud (VPC)
8.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
8.3.1. Manufacturing
8.3.2. Retail
8.3.3. Healthcare & Life Sciences
8.3.4. Telecom
8.3.5. BFSI
8.3.6. Others (Energy & Utilities, Education, Government etc.)
8.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
8.4.1. The U.S.
8.4.2. Canada
8.4.3. Rest of North America
8.5. Market Attractiveness Analysis
8.5.1. By Deployment Type
8.5.2. By End Use Application
8.5.3. By Country

9. Europe Machine Learning as a Service Market Analysis and Forecast
9.1. Key Findings
9.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
9.2.1. Public Cloud
9.2.2. Private Cloud/Virtual Private Cloud (VPC)
9.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
9.3.1. Manufacturing
9.3.2. Retail
9.3.3. Healthcare & Life Sciences
9.3.4. Telecom
9.3.5. BFSI
9.3.6. Others (Energy & Utilities, Education, Government etc.)
9.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
9.4.1. Germany
9.4.2. France
9.4.3. UK
9.4.4. Rest of Europe
9.5. Market Attractiveness Analysis
9.5.1. By Deployment Type
9.5.2. By End Use Application
9.5.3. By Country

10. Asia Pacific (APAC) Machine Learning as a Service Market Analysis and Forecast
10.1. Key Findings
10.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
10.2.1. Public Cloud
10.2.2. Private Cloud/Virtual Private Cloud (VPC)
10.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
10.3.1. Manufacturing
10.3.2. Retail
10.3.3. Healthcare & Life Sciences
10.3.4. Telecom
10.3.5. BFSI
10.3.6. Others (Energy & Utilities, Education, Government etc.)
10.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
10.4.1. China
10.4.2. India
10.4.3. Japan
10.4.4. Australia
10.4.5. Rest of APAC
10.5. Market Attractiveness Analysis
10.5.1. By Deployment Type
10.5.2. By End Use Application
10.5.3. By Country

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11. Middle-East and Africa (MEA) Machine Learning as a Service Market Analysis and Forecast
11.1. Key Findings
11.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
11.2.1. Public Cloud
11.2.2. Private Cloud/Virtual Private Cloud (VPC)
11.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
11.3.1. Manufacturing
11.3.2. Retail
11.3.3. Healthcare & Life Sciences
11.3.4. Telecom
11.3.5. BFSI
11.3.6. Others (Energy & Utilities, Education, Government etc.)
11.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
11.4.1. UAE
11.4.2. Saudi Arabia
11.4.3. South Africa
11.4.4. Rest of MEA
11.5. Market Attractiveness Analysis
11.5.1. By Deployment Type
11.5.2. By End Use Application
11.5.3. By Country

12. South America Machine Learning as a Service Market Analysis and Forecast
12.1. Key Findings
12.2. Market Size (US$ Mn) Forecast By Deployment Type, 2015 – 2025
12.2.1. Public Cloud
12.2.2. Private Cloud/Virtual Private Cloud (VPC)
12.3. Market Size (US$ Mn) Forecast By End Use Application, 2015 – 2025
12.3.1. Manufacturing
12.3.2. Retail
12.3.3. Healthcare & Life Sciences
12.3.4. Telecom
12.3.5. BFSI
12.3.6. Others (Energy & Utilities, Education, Government etc.)
12.4. Market Size (US$ Mn) Forecast By Country, 2015 – 2025
12.4.1. Brazil
12.4.2. Argentina
12.4.3. Rest of South America
12.5. Market Attractiveness Analysis
12.5.1. By Deployment Type
12.5.2. By End Use Application
12.5.3. By Country

13. Competition Landscape
13.1. Market Player – Competition Matrix (By Tier and Size of companies)
13.2. Market Share Analysis by Company (2016)
13.3. Company Profiles
13.3.1. Google Inc.
13.3.1.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.1.2. Company Description
13.3.1.3. SWOT Analysis
13.3.1.4. Strategic Overview
13.3.2. IBM Corporation.
13.3.2.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.2.2. Company Description
13.3.2.3. SWOT Analysis
13.3.2.4. Strategic Overview
13.3.3. Microsoft Corporation
13.3.3.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.3.2. Company Description
13.3.3.3. SWOT Analysis
13.3.3.4. Strategic Overview
13.3.4. Amazon Web Services Inc.
13.3.4.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.4.2. Company Description
13.3.4.3. SWOT Analysis
13.3.4.4. Strategic Overview
13.3.5. BigML Inc.
13.3.5.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.5.2. Company Description
13.3.5.3. SWOT Analysis
13.3.5.4. Strategic Overview
13.3.6. FICO
13.3.6.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.6.2. Company Description
13.3.6.3. SWOT Analysis
13.3.6.4. Strategic Overview
13.3.7. Yottamine Analytics
13.3.7.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.7.2. Company Description
13.3.7.3. SWOT Analysis
13.3.7.4. Strategic Overview
13.3.8. Ersatz Labs Inc.
13.3.8.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.8.2. Company Description
13.3.8.3. SWOT Analysis
13.3.8.4. Strategic Overview
13.3.9. Predictron Labs Ltd
13.3.9.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.9.2. Company Description
13.3.9.3. SWOT Analysis
13.3.9.4. Strategic Overview
13.3.10. H2O.ai
13.3.10.1. Company Details (HQ, Foundation Year, Revenue, Employee Strength)
13.3.10.2. Company Description
13.3.10.3. SWOT Analysis
13.3.10.4. Strategic Overview

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