Machine Learning as a Service (MLaaS) Market Global Outlook to 2022 by Leading Companies - AT&T, Amazon Web Services, BigML, Ersatz Labs, FICO, Fuzzy.Ai, Google, Hewlett-Packard Enterprise Development

Machine learning as a service (MLaaS) is an array of services that provide machine learning tools as part of cloud computing services. MLaaS helps clients benefit from machine learning without the cognate cost, time and risk of establishing an inhouse internal machine learning team. Infrastructural concerns such as data pre-processing, model training, model evaluation, and ultimately, predictions, can be mitigated through MLaaS.

Simply put, MLaaS is a set of services that offer ready-made, slightly generic machine learning tools that can be adapted by any organisation as a part of their working needs. These services range from data visualisation, a slew of application programming interfaces, facial recognition, natural language processing, predictive analytics and deep learning, among others. The MLaaS algorithms are used to find pattern in data. Mathematical models are built using these patterns and the models are used to make predictions using new data.

Top Key Companies Covered in this Report:
AT&T, Amazon Web Services, BigML, Inc., Ersatz Labs, Inc., FICO, Fuzzy.Ai, Google, Inc., Hewlett-Packard Enterprise Development Lp., International Business Machine Corporation, Microsoft, Sift Science, Inc. and Yottamine Analytics, LLC.

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Machine Learning as a Service (MLaaS) market is expected to grow from $ 480.94 million in 2015 to reach $5,394.87 million by 2022 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.

Professional services are expected to have the majority share in Machine Learning as a Service (MLaaS) market during the forecast period as majority of the companies do not have the proficiency to productively manage infrastructure and hence, they outsource these services to third-party partners to maintain a level of security and safety. North America is likely to embrace the leading market share during the forecast period. One of the major reasons for this is rising number of Small and Medium Enterprises (SMEs) in the MLaaS market providing customized services and solutions. Due to this, several main organizations in the market are also acquiring the smaller companies.

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Fundamentals of Table of Content:

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.5 Market by Application
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Machine Learning as a Service Market Size
2.2 Machine Learning as a Service Growth Trends by Regions
2.3 Industry Trends

3 Market Share by Key Players
3.1 Machine Learning as a Service Market Size by Manufacturers
3.2 Machine Learning as a Service Key Players Head office and Area Served
3.3 Key Players Machine Learning as a Service Product/Solution/Service
3.4 Date of Enter into Machine Learning as a Service Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product
4.1 Global Machine Learning as a Service Sales by Product
4.2 Global Machine Learning as a Service Revenue by Product
4.3 Machine Learning as a Service Price by Product

5 Breakdown Data by End User
5.1 Overview
5.2 Global Machine Learning as a Service Breakdown Data by End User

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This release was published on openPR.