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Machine Learning as a Service Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2024

Machine Learning as a Service Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2024

The report on the global machine learning as a service market provides qualitative and quantitative analysis for the period from 2016 to 2024. The report predicts the global machine learning as a service market to grow with a CAGR of 38.5% over the forecast period from 2018-2024. The study on machine learning as a service market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2016 to 2024.

The report on machine learning as a service market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global machine learning as a service market over the period of 2016 to 2024. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global machine learning as a service market over the period of 2016 to 2024. Further, IGR- Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Report Findings
1) Drivers
• Increasing use in cloud technologies
• Provides statistical analysis along with reduce time and cost
• Growing adoption of cloud based systems
2) Restraints
• Less skilled personnel
3) Opportunities
• Technological advancement

Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from the industry
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.

B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered
The global machine learning as a service market is segmented on the basis of component, application, and end user.

The Global Machine Learning As a Service Market by Component
• Software
• Services

The Global Machine Learning As a Service Market by Application
• Marketing & Advertising
• Fraud Detection & Risk Management
• Predictive Analytics
• Augmented & Virtual Reality
• Security & Surveillance
• Others

The Global Machine Learning As a Service Market by End User
• Retail
• Manufacturing
• BFSI
• Healthcare & Life Sciences
• Telecom
• Others

Company Profiles
The companies covered in the report include
• IBM
• PREDICTRON LABS
• H2O.ai.
• Google LLC
• Crunchbase Inc.
• Microsoft
• Yottamine Analytics, LLC
• Fair Isaac Corporation.
• BigML, Inc.
• Amazon Web Services, Inc.

What does this report deliver?
1. Comprehensive analysis of the global as well as regional markets of the machine learning as a service market.
2. Complete coverage of all the segments in the machine learning as a service market to analyze the trends, developments in the global market and forecast of market size up to 2024.
3. Comprehensive analysis of the companies operating in the global machine learning as a service market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.


The report on machine learning as a service market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global machine learning as a service market over the period of 2016 to 2024. Moreover, the report is a collective presentation of primary and secondary research findings.

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. Machine Learning as a Service Market Highlights
2.2. Machine Learning as a Service Market Projection
2.3. Machine Learning as a Service Market Regional Highlights
3. Global Machine Learning as a Service Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter's Five Forces Analysis
3.4. IGR-Growth Matrix Analysis
3.4.1. IGR-Growth Matrix Analysis by Component
3.4.2. IGR-Growth Matrix Analysis by Application
3.4.3. IGR-Growth Matrix Analysis by End User
3.4.4. IGR-Growth Matrix Analysis by Region
3.5. Value Chain Analysis of Machine Learning as a Service Market
4. Machine Learning as a Service Market Macro Indicator Analysis
5. Global Machine Learning as a Service Market by Component
5.1. Software
5.2. Services
6. Global Machine Learning as a Service Market by Application
6.1. Marketing & Advertising
6.2. Fraud Detection & Risk Management
6.3. Predictive Analytics
6.4. Augmented & Virtual Reality
6.5. Security & Surveillance
6.6. Others
7. Global Machine Learning as a Service Market by End User
7.1. Retail
7.2. Manufacturing
7.3. BFSI
7.4. Healthcare & Life Sciences
7.5. Telecom
7.6. Others
8. Global Machine Learning as a Service Market by Region 2018-2024
8.1. North America
8.1.1. North America Machine Learning as a Service Market by Component
8.1.2. North America Machine Learning as a Service Market by Application
8.1.3. North America Machine Learning as a Service Market by End User
8.1.4. North America Machine Learning as a Service Market by Country
8.2. Europe
8.2.1. Europe Machine Learning as a Service Market by Component
8.2.2. Europe Machine Learning as a Service Market by Application
8.2.3. Europe Machine Learning as a Service Market by End User
8.2.4. Europe Machine Learning as a Service Market by Country
8.3. Asia-Pacific
8.3.1. Asia-Pacific Machine Learning as a Service Market by Component
8.3.2. Asia-Pacific Machine Learning as a Service Market by Application
8.3.3. Asia-Pacific Machine Learning as a Service Market by End User
8.3.4. Asia-Pacific Machine Learning as a Service Market by Country
8.4. RoW
8.4.1. RoW Machine Learning as a Service Market by Component
8.4.2. RoW Machine Learning as a Service Market by Application
8.4.3. RoW Machine Learning as a Service Market by End User
8.4.4. RoW Machine Learning as a Service Market by Sub-region
9. Company Profiles and Competitive Landscape
9.1. Competitive Landscape in the Global Machine Learning as a Service Market
9.2. Companies Profiles
9.2.1. IBM
9.2.2. PREDICTRON LABS
9.2.3. H2O.ai.
9.2.4. Google LLC
9.2.5. Crunchbase Inc.
9.2.6. Microsoft
9.2.7. Yottamine Analytics, LLC
9.2.8. Fair Isaac Corporation.
9.2.9. BigML, Inc.
9.2.10. Amazon Web Services, Inc.
10. Appendix
10.1. Primary Research Findings and Questionnaire

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