Machine learning as a service (MLaaS) includes wide-ranging services and solutions as well as techniques correlated to artificial intelligence (AI). These execute statistical analysis of input data to comprehend its current or future connection and performance. Machine learning leverage an enormous amount of input data for delivering enhanced analytical output while optimizing workflow for diverse industry verticals. Machine learning as a service incorporates a range of services offering machine learning tools via cloud computing services.
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Key Players:
1.Amazon Web Services
2.BigML, Inc.
3.Fair Isaac Corporation
4.Google Inc.
5.Hewlett Packard Enterprise
6.IBM Corporation
7.Iflowsoft Solutions Inc.
8.Microsoft Corporation
9.SAS Institute Inc.
10.Yottamine Analytics
The global Machine Learning as a Service market is segmented on the basis of service type, offerings, and end-user industry. Based on the service type, the market is bifurcated into professional and managed service. Further, the offerings segment of machine learning as a service market is classified into hardware and software. Based on end-user industry, the machine learning as a service market is segmented into IT and telecom, manufacturing, energy and power, and others.
Analysis tools such as SWOT analysis and Porter’s five force model have been inculcated in order to present a perfect in-depth knowledge about Machine Learning as a Service market. Ample graphs, tables, charts are added to help have an accurate understanding of this market. The Machine Learning as a Service market is also been analyzed in terms of value chain analysis and regulatory analysis.
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In-depth qualitative analyses include identification and investigation of the following aspects:
Market Structure
Growth Drivers
Restraints and Challenges
Emerging Product Trends & Market Opportunities
Risk Assessment for Investing in Global Market
Critical Success Factors (CSFs)
The competitive landscape of the market has been examined on the basis of market share analysis of key players. Detailed market data about these factors is estimated to help vendors take strategic decisions that can strengthen their positions in the market and lead to more effective and larger stake in the global Machine Learning as a Service market. Pricing and cost teardown analysis for products and service offerings of key players has also been undertaken for the study.
Table of Contents:
1 Executive Summary
2 Preface
3 Machine Learning as a Service Market Overview
4 Market Trend Analysis
5 Global Machine Learning as a Service Market Segmentation
6 Market Effect Factors Analysis
7 Market Competition by Manufacturers
8 Key Developments
9 Company Profiling
Sameer Joshi
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