Machine Learning as a Service Market to reach USD 23.20 billion by 2026

Machine Learning as a Service Market Size study, by Type (Software Tools, Cloud and Web-based Application Programming Interface (APIs), Others), by Application (Manufacturing, Retail, Healthcare & Life Sciences, Telecom, BFSI, Others (Energy & Utilities, Education, Government)) and Regional Forecasts 2019-2026
Product Code:  OIRNGT_13029844
Chapter 1.	Executive Summary 
1.1.	Market Snapshot
1.2.	Key Trends
1.3.	Global & Segmental Market Estimates & Forecasts, 2016-2026 (USD Billion)
1.3.1.	Machine Learning as a Service, by Type, 2016-2026 (USD Billion)
1.3.2.	Machine Learning as a Service, by Application, 2016-2026 (USD Billion)
1.3.3.	Machine Learning as a Service, by Region, 2016-2026 (USD Billion)
1.4.	Estimation Methodology
1.5.	Research Assumption
Chapter 2.	Global Machine Learning as a Service Market Definition and Scope 
2.1.	Objective of the Study
2.2.	Market Definition & Scope
2.2.1.	Industry Evolution
2.2.2.	Scope of the Study
2.3.	Years Considered for the Study
2.4.	Currency Conversion Rates
Chapter 3.	Global Machine Learning as a Service Market Dynamics	
3.1.	See Saw Analysis
3.1.1.	Market Drivers
3.1.2.	Market Challenges
3.1.3.	Market Opportunities
Chapter 4.	Global Machine Learning as a Service Market Industry Analysis
4.1.	Porter’s 5 Force Model
4.1.1.	Bargaining Power of Buyers
4.1.2.	Bargaining Power of Suppliers
4.1.3.	Threat of New Entrants
4.1.4.	Threat of Substitutes
4.1.5.	Competitive Rivalry
4.1.6.	Futuristic Approach to Porter’s 5 Force Model
4.2.	PEST Analysis
4.2.1.	Political Scenario
4.2.2.	Economic Scenario
4.2.3.	Social Scenario
4.2.4.	Technological Scenario
4.3.	Key Buying Criteria (On Demand)
4.4.	Regulatory Framework (On Demand)
4.5.	Investment Vs Adoption Scenario (On Demand)
4.6.	Analyst Recommendation & Conclusion

Chapter 5.	Global Machine Learning as a Service, by Type
5.1.	Market Snapshot 
5.2.	Market Performance - Potential Model
5.3.	Machine Learning as a Service, Sub Segment Analysis
5.3.1.	Software Tools
5.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.	Cloud and Web-based Application Programming Interface (APIs)
5.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.	Others
5.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
5.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 6.	Global Machine Learning as a Service, by Application
6.1.	Market Snapshot 
6.2.	Market Performance - Potential Model
6.3.	Machine Learning as a Service, Sub Segment Analysis
6.3.1.	Manufacturing
6.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.1.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.	Retail
6.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.2.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.	Healthcare & Life Sciences
6.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.3.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.4.	Telecom
6.3.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.4.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.5.	BFSI
6.3.5.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.5.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)
6.3.6.	Others (Energy & Utilities, Education, Government)
6.3.6.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
6.3.6.2.	Regional breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 7.	Global Machine Learning as a Service, by Regional Analysis
7.1.	Machine Learning as a Service, Regional Market Snapshot (2015-2025)
7.2.	North America Machine Learning as a Service Market Snapshot
7.2.1.	U.S.
7.2.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.2.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.	Canada
7.2.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.2.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.	Europe Machine Learning as a Service Market Snapshot
7.3.1.	U.K. 
7.3.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.	Germany 
7.3.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.	Rest of Europe
7.3.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.3.3.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.	Asia Machine Learning as a Service Market Snapshot
7.4.1.	China 
7.4.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.	India 
7.4.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.	Japan
7.4.3.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.3.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.	Rest of Asia Pacific
7.4.4.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.4.4.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.	Latin America Machine Learning as a Service Market Snapshot
7.5.1.	Brazil 
7.5.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.5.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.	Mexico 
7.5.2.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.5.2.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.	Rest of The World 
7.6.1.	Middle East and Africa
7.6.1.1.	Market estimates & forecasts, 2016-2026 (USD Billion)
7.6.1.2.	Type breakdown estimates & forecasts, 2016-2026 (USD Billion)
7.6.1.3.	Application breakdown estimates & forecasts, 2016-2026 (USD Billion)

Chapter 8.	Competitive Intelligence
8.1.	Company Market Share (Subject to Data Availability)
8.2.	Top Market Strategies
8.3.	Company Profiles
8.3.1.	Google
8.3.1.1.	Overview
8.3.1.2.	Financial (Subject to Data Availability)
8.3.1.3.	Product Summary
8.3.1.4.	Recent Developments
8.3.2.	IBM Corporation
8.3.3.	Microsoft Corporation
8.3.4.	Amazon Web Services
8.3.5.	BigML
8.3.6.	FICO
8.3.7.	Yottamine Analytics
8.3.8.	Ersatz Labs
8.3.9.	Predictron Labs
8.3.10.	H2O.ai
8.3.11.	AT&T
8.3.12.	Sift Science

Chapter 9.	Research Process
9.1.	Research Process
9.1.1.	Data Mining
9.1.2.	Analysis
9.1.3.	Market Estimation
9.1.4.	Validation
9.1.5.	Publishing
9.1.6.	Research Assumption

Machine Learning as a Service Market valued approximately USD 1.30 billion in 2018 is anticipated to grow with a healthy growth rate of more than 43.9% over the forecast period 2019-2026. Machine learning as a service is a significant range of solutions and services that are offered by cloud service providers. The tools offered by service providers include APIs, data visualization, natural language processing, face recognition, deep learning, and predictive analytics. The main benefit associated with these services is that the customers are able to quickly start with machine learning with no need to install or download any software on their servers. Enhancements in technology, growth in data volume and rise in IT spending in some of the developing regions are the major factors which are driving the growth in the global market. Additionally, growth in acceptance of cloud-based technologies and increasing need to know customer behavior are further boosting the demand for Machine learning as a service. Moreover, the high demand for private cloud in enterprises is likely to propel the growth of the market. Besides this, a rise in the area of application and growing investments in the healthcare sector represents significant growth opportunities for the market in the near future. However, scarcity of trained expertise and several security concerns are expected to hamper the market growth.

The regional analysis of Machine Learning as a Service Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. In region such as Asia-Pacific, Middle-East and Africa, rise in usage of passenger vehicles set the growth in Machine Learning as a Service Market over the forecasted period 2019-2026. Asia-Pacific is estimated to hold a prominent share of the Machine Learning as a Service market. Developing countries, such as India and China, are significant players boosting the demand for the Machine Learning as a Service Market. Europe, North America and the Middle East and Africa are continuously witnessing infrastructural growth which fueling the demand of Machine Learning as a Service Market over the coming years. Asia Pacific region is contributing towards the growth of global Machine Learning as a Service Market and anticipated to exhibit higher growth rate / CAGR over the forecast period 2019-2026.

The leading Market players mainly include-
Google
IBM Corporation
Microsoft Corporation
Amazon Web Services
BigML
FICO
Yottamine Analytics
Ersatz Labs
Predictron Labs
H2O.ai
AT&T
Sift Science
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
Software Tools
Cloud and Web-based Application Programming Interface (APIs)
Others

By Application:
Manufacturing
Retail
Healthcare & Life Sciences
Telecom
BFSI
Others (Energy & Utilities, Education, Government)

By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2016, 2017
Base year – 2018
Forecast period – 2019 to 2026

Target Audience of the Machine Learning as a Service Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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