Machine Learning as a Service-Global Market Outlook 2017-2023

(IT-NEWSWIRE.COM, March 25, 2018 ) According to Publisher, the Global Machine Learning as a Service (MLaaS) market is expected to grow from $ 679.32 million in 2016 to reach $ 7620.18 million by 2023 with a CAGR of 41.2%. Rising investments in the healthcare business, emerging multiple options in application areas, enhanced connectivity and enlargement in data from IoT platforms are the current trends in machine learning as a service market. Strong need to recognize consumer behaviour, acceptance of cloud-based technologies, and advancements in technologies are some of the major factors enhancing the market growth. However, the lack of trained consultants to organize machine learning services and government & compliance issues are restraining the growth of MLaaS solutions market.

On the basis of organization, small and medium businesses segment is projected to adopt machine learning service. With the help of predictive analytics machine learning, algorithms not only give real-time data but also predict the future. Machine learning solutions are used by small and medium businesses for fine-tuning their supply chain by forecasting the demand of a product and by suggesting the timing and quantity of supplies essential for satisfying the customers' expectations.

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North America is expected to capture significant growth during forecast period. High adoption rate of new technologies and huge demand for technologies like machine learning and big data are expected to drive the machine learning market in this region.

Some of the key players in the Machine Learning as a Service (MLaaS) market are identified as Microsoft, AT&T, FICO, Ersatz Labs, Inc., International Business Machine Corporation, Fuzzy.Ai, Amazon Web Services, Hewlett-Packard Enterprise Development Lp., Google, Inc., Yottamine Analytics, LLC, Sift Science, Inc., BigML, Inc. and iCarbonX.

Applications Covered:
- Network Analytics and Automated Traffic Management
- Augmented Reality
- Predictive Maintenance
- Fraud Detection and Risk Analytics
- Marketing and Advertising
- Other Applications

End Users Covered:
- Education
- Automotive and Transportation
- Telecom
- Banking and Financial Services
- Retail and E-Commerce
- Media and Entertainment
- Insurance
- Healthcare
- Defense
- Other End Users

Components Covered:
- Services
- Software Tools

Organization Sizes Covered:
- Small and Medium Enterprises
- Large Enterprises

Complete Report is Available at http://www.reportsweb.com/machine-learning-as-a-service-global-market-outlook-2017-2023

Table of Contents
1 Executive Summary
2 Preface
3 Market Trend Analysis
4 Porters Five Force Analysis
5 Global Machine Learning as a Service (MLaaS) Market, By Application
6 Global Machine Learning as a Service (MLaaS) Market, By End User
7 Global Machine Learning as a Service (MLaaS) Market, By Component
8 Global Machine Learning as a Service (MLaaS) Market, By Organization Size
9 Global Machine Learning as a Service (MLaaS) Market, By Geography
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 Germany
9.3.2 UK
9.3.3 Italy
9.3.4 France
9.3.5 Spain
9.3.6 Rest of Europe
9.4 Asia Pacific
9.4.1 Japan
9.4.2 China
9.4.3 India
9.4.4 Australia
9.4.5 New Zealand
9.4.6 South Korea
9.4.7 Rest of Asia Pacific
9.5 South America
9.5.1 Argentina
9.5.2 Brazil
9.5.3 Chile
9.5.4 Rest of South America
9.6 Middle East & Africa
9.6.1 Saudi Arabia
9.6.2 UAE
9.6.3 Qatar
9.6.4 South Africa
9.6.5 Rest of Middle East & Africa
10 Key Developments

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Machine Learning as a Service-Global Market Outlook 2017-2023