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Global Machine Learning as a Service (MlaaS) Market 2019 industry Size, Share, Manufacturers, Regions, Type and Application, Forecast to 2023

Machine Learning as a Service (MlaaS) Market in

Machine Learning as a Service (MlaaS) Market is analysed by product types, applications and key market players for market size, share, sales (consumption), gross margin and revenue. The Machine Learning as a Service (MlaaS) Market data from year 2013 to 2017 is primary basis of this research & the forecast period being 2018-2023. Market experts in the industry are the prime contributors of the accurate and reliable data present in this Machine Learning as a Service (MlaaS) Market report. The report gives review of Machine Learning as a Service (MlaaS) Market, including characterization, application, fabricating innovation, industry chain investigation and most recent market progression.

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Machine Learning as a Service (MlaaS) market manufacturers are covered in this report, with sales, market share, revenue for each company: Global Machine Learning as a Service (MlaaS) market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including:

  • Microsoft Corporation
  • IBM Corporation
  • Amazon Web Services
  • Inc.
  • Google Inc.
  • Hewlett Packard Inc.
  • Fair Isaac Corporation
  • PurePredictive Inc
  • Sift Science Inc

    Machine Learning as a Service (MlaaS) Market Segment by Regions:

    • North America(USA, Canada and Mexico)
    • Europe(Germany, France, UK, Russia and Italy)
    • Asia-Pacific(China, Japan, Korea, India and Southeast Asia)
    • South America(Brazil, Argentina, Columbia etc.)
    • Middle East and Africa(Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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    Key Developments in the Machine Learning as a Service (MlaaS) Market:

  • January 2018 – Microsoft and Nordcloud partnered to boost the penetration of Artificial Intelligence in Europe.The companies have increased their focus toward AI and cloud computing, rolling out new services and partnerships as a part of their aim to democratize artificial intelligence. Nordcloud announced that the two companies would join hands to boost the spread of AI and machine learning services to Nordcloud customers, across Europe. This partnership is expected to pave the way for further such partnership between MLaaS providers and cloud-service providers in the near future.
  • November 2017 – Amazon Web Services brought machine learning to the enterprise and start-up masses and released a fully managed end-to-end MLaaS called Sagemaker and a video camera, which runs deep learning models dubbed DeepLens. Through this, the company aimed at eliminating hurdles while building machine learning models.

    Machine Learning as a Service (MlaaS) Market Dynamics

  • Drivers
    – Increasing Adoption of IoT and Automation
    – Growing Need for Consumer Behavior Analysis
    – Increasing Adoption of Cloud-based Services
  • Restraints
    – Security Concerns
    – Need for Skilled Personnel

    Key Reasons to Purchase Machine Learning as a Service (MlaaS) Market Report:

    • To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.
    • Assess the production processes, major issues, and solutions to mitigate the development risk.
    • To understand the most affecting driving and restraining forces in the market and its impact in the global market.
    • Learn about the market strategies that are being adopted by leading respective organizations.
    • To understand the future outlook and prospects for the market.
    • Besides the standard structure reports, we also provide custom research according to specific requirements.

    Major Points from Table of Contents:

    1. Introduction
    1.1 Key Deliverables of the Study
    1.2 Study Assumptions
    1.3 Market Definition
    1.4 Key Findings of the Study
    2. Research Approach and Methodology
    3. Executive Summary
    4. Market Dynamics
    4.1 Market Overview
    4.2 Factors Driving the Market
    4.2.1 Increasing Adoption of IoT and Automation
    4.2.2 Growing Need for Consumer Behavior Analysis
    4.2.3 Increasing Adoption of Cloud-based Services
    4.3 Factors Restraining the Market
    4.3.1 Security Concerns
    4.3.2 Need for Skilled Personnel
    4.4 Industry Value Chain Analysis
    4.5 Industry Attractiveness – Porters Five Industry Forces Analysis
    4.5.1 Bargaining Power of Suppliers
    4.5.2 Bargaining Power of Consumers
    4.5.3 Threat of New Entrants
    4.5.4 Threat of Substitute Products or Services
    4.5.5 Competitive Rivalry among Existing Competitors
    5. Global Machine Learning as a Service Market Segmentation
    5.1 By Application
    5.1.1 Advertising & Marketing
    5.1.2 Predictive Maintenance
    5.1.3 Automated Network Management
    5.1.4 Risk Analytics and Fraud Detection
    5.1.5 Others
    5.2 By Organization Size
    5.2.1 Small and Medium Enterprises
    5.2.2 Large Enterprises
    5.3 By End User
    5.3.1 IT
    5.3.2 Automotive
    5.3.3 Healthcare
    5.3.4 Aerospace & Defense
    5.3.5 Retail
    5.3.6 Government
    5.3.7 Media & Entertainment
    5.3.8 BFSI
    5.3.9 Education
    5.3.10 Others
    5.4 By Region
    5.4.1 North America
    5.4.2 Europe
    5.4.3 Asia-Pacific
    5.4.4 Middle East & Africa
    5.4.5 Latin America
    6. Competitive Intelligence – Company Profiles
    6.1 Microsoft Corporation
    6.2 IBM Corporation
    6.3 Amazon Web Services
    6.4 Google Inc.
    6.5 BigML Inc
    6.6 FICO
    6.7 Hewlett-Packard Enterprise Development Lp
    6.8 AT&T
    7. Investment Analysis
    8. Future of MLaaS Market

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