1.
Service
Overview
1.1.
Market
Definition
1.2.
Scope
of the Study
2.
Research Methodology
2.1.
Baseline
Methodology
2.2.
Methodology
Followed for Calculation of Market Size
2.3.
Methodology
Followed for Calculation of Market Shares
2.4.
Methodology
Followed for Forecasting
3.
Executive Summary
4.
Impact of COVID-19 on Global Machine Learning as a
Service Market
5.
Voice of Customer
5.1.
Awareness of Machine Learning as a Service
5.2.
Major Applications of Machine Learning as a Service
5.3.
Key benefits of Machine Learning as a Service
5.4.
Key vendor selection parameter
5.5.
Major
selection in adopting Machine Learning as a Service
5.6.
Key vendor challenges
6.
Global
Machine Learning as a Service Market Outlook
6.1.
Market Size & Forecast
6.1.1.
By
Value
6.2.
Market Share & Forecast
6.2.1.
By Component
(Public, Private, Consortium and Hybrid)
6.2.2.
By Organization
Size (Large Enterprises, Small and Medium-Sized Enterprises)
6.2.3.
By Application
(Marketing & Advertising, Fraud Detection & Risk Management, Computer
vision, Security & Surveillance, Predictive analytics, Natural Language
Processing, Augmented & Virtual Reality, Others)
6.2.4.
By End-User
(IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail,
Government, BFSI)
6.2.5.
By Region
6.2.6.
Key
Takeaways
6.2.7.
By
Company (2022)
6.3.
Market
Map (By Component, By Organization Size, By Application, By End-User, By
Region)
7.
North
America Machine Learning as a Service Market Outlook
7.1.
Market Size & Forecast
7.1.1.
By Value
7.2.
Market Share
& Forecast
7.2.1.
By Component
7.2.2.
By Organization
Size
7.2.3.
By Application
7.2.4.
By End-User
7.2.5.
By
Country
7.2.6.
Key
Takeaways
7.3.
North America: Country Analysis
7.3.1.
United
States Machine Learning as a Service Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share
& Forecast
7.3.1.2.1.
By
Component
7.3.1.2.2.
By
Organization Size
7.3.1.2.3.
By
Application
7.3.1.2.4.
By
End-User
7.3.2.
Canada
Machine Learning as a Service Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share
& Forecast
7.3.2.2.1.
By
Component
7.3.2.2.2.
By
Organization Size
7.3.2.2.3.
By
Application
7.3.2.2.4.
By
End-User
7.3.3.
Mexico
Machine Learning as a Service Market Outlook
7.3.3.1. Market Size
& Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share
& Forecast
7.3.3.2.1.
By
Component
7.3.3.2.2.
By
Organization Size
7.3.3.2.3.
By
Application
7.3.3.2.4.
By
End-User
8.
Europe
Machine Learning as a Service Market Outlook
8.1.
Market Size
& Forecast
8.1.1.
By Value
8.2.
Market Share
& Forecast
8.2.1.
By Component
8.2.2.
By Organization
Size
8.2.3.
By Application
8.2.4.
By
End-User
8.2.5.
By
Country
8.2.6.
Key
Takeaways
8.3.
Europe: Country
Analysis
8.3.1.
Germany
Machine Learning as a Service Market Outlook
8.3.1.1. Market Size
& Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share
& Forecast
8.3.1.2.1.
By
Component
8.3.1.2.2.
By
Organization Size
8.3.1.2.3.
By
Application
8.3.1.2.4.
By
End-User
8.3.2.
United
Kingdom Machine Learning as a Service Market Outlook
8.3.2.1. Market Size
& Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share
& Forecast
8.3.2.2.1.
By
Component
8.3.2.2.2.
By
Organization Size
8.3.2.2.3.
By
Application
8.3.2.2.4.
By
End-User
8.3.3.
France
Machine Learning as a Service Market Outlook
8.3.3.1. Market Size
& Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share
& Forecast
8.3.3.2.1.
By
Component
8.3.3.2.2.
By
Organization Size
8.3.3.2.3.
By
Application
8.3.3.2.4.
By
End-User
8.3.4.
Italy
Machine Learning as a Service Market Outlook
8.3.4.1. Market Size
& Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share
& Forecast
8.3.4.2.1.
By
Component
8.3.4.2.2.
By
Organization Size
8.3.4.2.3.
By
Application
8.3.4.2.4.
By
End-User
8.3.5.
Spain
Machine Learning as a Service Market Outlook
8.3.5.1. Market Size
& Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share
& Forecast
8.3.5.2.1.
By
Component
8.3.5.2.2.
By
Organization Size
8.3.5.2.3.
By
Application
8.3.5.2.4.
By
End-User
9.
Asia
Pacific Machine Learning as a Service Market Outlook
9.1.
Market
Size & Forecast
9.1.1.
By Value
9.2.
Market Share & Forecast
9.2.1.
By Component
9.2.2.
By Organization
Size
9.2.3.
By Application
9.2.4.
By
End-User
9.2.5.
By
Country
9.2.6.
Key
Takeaways
9.3.
Asia Pacific: Country Analysis
9.3.1.
China
Machine Learning as a Service Market Outlook
9.3.1.1. Market Size
& Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share
& Forecast
9.3.1.2.1.
By
Component
9.3.1.2.2.
By
Organization Size
9.3.1.2.3.
By
Application
9.3.1.2.4.
By
End-User
9.3.2.
Japan Machine Learning as a Service Market
Outlook
9.3.2.1. Market Size
& Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share
& Forecast
9.3.2.2.1.
By
Component
9.3.2.2.2.
By
Organization Size
9.3.2.2.3.
By
Application
9.3.2.2.4.
By
End-User
9.3.3.
India Machine Learning as a Service Market Outlook
9.3.3.1. Market Size
& Forecast
9.3.3.1.1. By Value
9.3.3.2.
Market Share & Forecast
9.3.3.2.1.
By
Component
9.3.3.2.2.
By
Organization Size
9.3.3.2.3.
By
Application
9.3.3.2.4.
By
End-User
9.3.4.
South
Korea Machine Learning as a Service Market Outlook
9.3.4.1. Market Size
& Forecast
9.3.4.1.1. By Value
9.3.4.2.
Market Share & Forecast
9.3.4.2.1.
By
Component
9.3.4.2.2.
By
Organization Size
9.3.4.2.3.
By
Application
9.3.4.2.4.
By
End-User
9.3.5.
Australia
Machine Learning as a Service Market Outlook
9.3.5.1. Market Size
& Forecast
9.3.5.1.1. By Value
9.3.5.2.
Market Share & Forecast
9.3.5.2.1.
By
Component
9.3.5.2.2.
By
Organization Size
9.3.5.2.3.
By
Application
9.3.5.2.4.
By
End-User
10.
Middle
East & Africa Machine Learning as a Service Market Outlook
10.1. Market Size
& Forecast
10.1.1.
By Value
10.2. Market Share
& Forecast
10.2.1.
By Component
10.2.2.
By Organization
Size
10.2.3.
By Application
10.2.4.
By
End-User
10.2.5.
By
Country
10.2.6.
Key
Takeaways
10.3. Middle East
& Africa: Country Analysis
10.3.1.
Saudi
Arabia Machine Learning as a Service Market Outlook
10.3.1.1.
Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2.
Market Share & Forecast
10.3.1.2.1.
By
Component
10.3.1.2.2.
By
Organization Size
10.3.1.2.3.
By
Application
10.3.1.2.4.
By
End-User
10.3.2.
UAE Machine Learning as a Service Market Outlook
10.3.2.1.
Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2.
Market Share & Forecast
10.3.2.2.1.
By
Component
10.3.2.2.2.
By
Organization Size
10.3.2.2.3.
By
Application
10.3.2.2.4.
By
End-User
10.3.3.
South
Africa Machine Learning as a Service Market Outlook
10.3.3.1.
Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2.
Market Share & Forecast
10.3.3.2.1.
By
Component
10.3.3.2.2.
By
Organization Size
10.3.3.2.3.
By
Application
10.3.3.2.4.
By
End-User
11.
South
America Machine Learning as a Service Market Outlook
11.1.
Market Size & Forecast
11.1.1.
By
Value
11.2.
Market Share & Forecast
11.2.1.
By Component
11.2.2.
By Organization
Size
11.2.3.
By Application
11.2.4.
By
End-User
11.2.5.
By
Country
11.2.6.
Key
Takeaways
11.3.
South America: Country Analysis
11.3.1.
Brazil
Machine Learning as a Service Market Outlook
11.3.1.1.
Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2.
Market Share & Forecast
11.3.1.2.1.
By
Component
11.3.1.2.2.
By
Organization Size
11.3.1.2.3.
By
Application
11.3.1.2.4.
By
End-User
11.3.2.
Argentina
Machine Learning as a Service Market Outlook
11.3.2.1.
Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2.
Market Share & Forecast
11.3.2.2.1.
By
Component
11.3.2.2.2.
By
Organization Size
11.3.2.2.3.
By
Application
11.3.2.2.4.
By
End-User
11.3.3.
Colombia
Machine Learning as a Service Market Outlook
11.3.3.1.
Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2.
Market Share & Forecast
11.3.3.2.1.
By
Component
11.3.3.2.2.
By
Organization Size
11.3.3.2.3.
By
Application
11.3.3.2.4.
By
End-User
12.
Market
Dynamics
12.1.
Drivers
12.1.1. Increase demand for cloud
computing
12.1.2. Growth associate with cognitive
computing & AI
12.1.3. Rise in adoption of analytics
solutions
12.2.
Challenges
12.2.1. Lack of skilled resources
12.2.2. Lacking infrastructure
13.
Market Trends and Developments
13.1.
Increasing
customer facing activities
13.2.
Smarter
back office & operations
13.3.
Growing
use of machine learning in retail sector
13.4.
Mergers
& Acquisitions
13.5.
Exponential
growth of big data
14.
Company
Profiles
14.1.
Google Inc
14.1.1. Company Overview
14.1.2. Product Portfolio
14.1.3. SWOT Analysis
14.1.4. Key Personals
14.1.5. Recent Developments/Updates
14.2.
SAS Institute Inc
14.2.1. Company Overview
14.2.2. Product Portfolio
14.2.3. SWOT Analysis
14.2.4. Key Personals
14.2.5. Recent Developments/Updates
14.3.
Fair Isaac Corporation
14.3.1. Company Overview
14.3.2. Product Portfolio
14.3.3. SWOT Analysis
14.3.4. Key Personals
14.3.5. Recent Developments/Updates
14.4.
Hewlett Packard Enterprise Development LP
14.4.1. Company Overview
14.4.2. Product Portfolio
14.4.3. SWOT Analysis
14.4.4. Key Personals
14.4.5. Recent Developments/Updates
14.5.
Yottamine Analytics Inc.
14.5.1. Company Overview
14.5.2. Product Portfolio
14.5.3. SWOT Analysis
14.5.4. Key Personals
14.5.5. Recent Developments/Updates
14.6.
Amazon Web Services
14.6.1. Company Overview
14.6.2. Product Portfolio
14.6.3. SWOT Analysis
14.6.4. Key Personals
14.6.5. Recent Developments/Updates
14.7.
BigML, Inc.
14.7.1. Company Overview
14.7.2. Product Portfolio
14.7.3. SWOT Analysis
14.7.4. Key Personals
14.7.5. Recent Developments/Updates
14.8.
Microsoft Corporation
14.8.1. Company Overview
14.8.2. Product Portfolio
14.8.3. SWOT Analysis
14.8.4. Key Personals
14.8.5. Recent Developments/Updates
14.9.
IBM Corporation
14.9.1. Company Overview
14.9.2. Product Portfolio
14.9.3. SWOT Analysis
14.9.4. Key Personals
14.9.5. Recent Developments/Updates
14.10.
Broadcom Corporation
14.10.1.
Company
Overview
14.10.2.
Product
Portfolio
14.10.3.
SWOT
Analysis
14.10.4.
Key
Personals
14.10.5.
Recent
Developments/Updates
15.
Strategic Recommendations
15.1.
Use
sophisticated algorithms for data utilizing
15.2.
Use
customer churn modelling
16. About Us &
Disclaimer