Machine Learning as a Service in Manufacturing Market | Technology Research Report

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Market Analysis


Machine Learning as a Service (MLaaS) Market will witness a CAGR of 49% during the forecast period 2017–2023. 


The market is propelled by certain growth drivers such as the increased application of advanced analytics in manufacturing, high volume of structured and unstructured data, the integration of machine learning with big data and other technologies, the rising importance of predictive and preventive maintenance, and so on.

The market growth is curbed to a certain extent by restraining factors such as implementation challenges, the dearth of skilled data scientists, and data inaccessibility and security concerns to name a few.


Segmentation by Components
The market has been analyzed and segmented by the following components - Software Tools, Cloud and Web-based Application Programming Interface (APIs), and Others.
Segmentation by End-users
The market has been analyzed and segmented by the following end-users, namely process industries and discrete industries. The application of machine learning is much higher in discrete than in process industries.

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Machine Learning as a Service Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
  
 Segmentation by Deployment Mode
 The market has been analyzed and segmented by the following deployment mode, namely public and private.
Regional Analysis
The market has been analyzed by the following regions as Americas, Europe, APAC, and MEA. The Americas holds the largest market share followed by Europe and APAC. The Americas is experiencing a high adoption rate of machine learning in manufacturing processes. The demand for enterprise mobility and cloud-based solutions is high in the Americas. The manufacturing sector is a major contributor to the GDP of the European countries and is witnessing AI driven transformation. China’s dominant manufacturing industry is extensively applying machine learning techniques. China, India, Japan, and South Korea are investing significantly on AI and machine learning. MEA is also following a high growth trajectory.

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 Vendor Analysis
 Some of the key players in the market are Microsoft, Amazon Web Services, Google, Inc., and IBM Corporation. The report also includes watchlist companies such as BigML Inc., Sight Machine, Eigen Innovations Inc., Seldon Technologies Ltd., and Citrine Informatics Inc.
 Benefits:
 • The report covers drivers, restraints, and opportunities (DRO) affecting the market growth during the forecast period (2017–2023).

 • It also contains an analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views.

 • The report covers competitive landscape, which includes M&A, joint ventures and collaborations, and competitor comparison analysis.

 • In the vendor profile section, for the companies that are privately held, financial information and revenue of segments will be limited.

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