Machine Learning as a Service Market by Component (Software, Services), Organization Size (Large Enterprises, SME), Deployment Type (Public Cloud, VPC), Application (Marketing and Advertising, Fraud Detection, Digital Security), and End-User - Global Forecast to 2025

  • Report ID:MRICT - 104300
  • Pages: 145
  • Jun 2019
  • Formats*: PDF
  • Category: Information & Communications Technology

1. Introduction
    1.1. Market Definition
    1.2. Scope of Study
    1.3. Market Ecosystem
    1.4. Currency & Limitation
           1.4.1. Currency
           1.4.2. Limitation
    1.5. Key Stakeholders

2. Research Methodology
    2.1. Research Process
           2.1.1. Secondary Research
           2.1.2. Primary Research
           2.1.3. Market Analytics
           2.1.4. Assumptions

3. Executive Summary

4. Market Insights
    4.1. Introduction
    4.2. Market Dynamics
           4.2.1. Drivers
           4.2.2. Restraints
           4.2.3. Opportunities
           4.2.4. Challenges
           4.2.5. Trends
    4.3. Market Share Analysis, by Key Player
    4.4. Regulatory Analysis

5. Global Machine Learning as a Service Market, by Component
    5.1. Software
           5.1.1. Data Storage and Archiving
           5.1.2. Modeler and Processing
           5.1.3. Cloud and Web-Based Application Programming Interface
           5.1.4. Others
    5.2. Services
           5.2.1. Professional Services
           5.2.2. Managed Services

6. Global Machine Learning as a Service Market, by End Users
    6.1. Aerospace & Defense
    6.2. IT & Telecom
    6.3. Energy & Utilities
    6.4. Public sector
    6.5. Manufacturing
    6.6. BFSI
    6.7. Healthcare
    6.8. Retail
    6.9. Others

7. Global Machine Learning as a Service Market, by Organization Type
    7.1. Large Enterprises
    7.2. Small & Medium Enterprises

8. Global Machine Learning as a Service Market, by Application
    8.1. Marketing & Advertising
    8.2. Fraud Detection & Risk Management
    8.3. Digital Security & Surveillance
    8.4. Augmented & Virtual Reality
    8.5. Predictive Analytics
    8.6. Natural Language Processing
    8.7. Network Analytics & Automated Traffic Management
    8.8. Computer Vision
    8.9. Others

9. Global Machine Learning as a Service Market, By Region
    9.1. North America
           9.1.1. U.S.
           9.1.2. Canada
    9.2. Europe
           9.2.1. UK
           9.2.2. Germany
           9.2.3. France
           9.2.4. Italy
           9.2.5. Spain
           9.2.6. Rest of Europe
    9.3. Asia-Pacific
           9.3.1. China
           9.3.2. India
           9.3.3. Japan
           9.3.4. Rest of Asia-Pacific
    9.4. Rest of World
           9.4.1. Latin America
           9.4.2. The Middle East & Africa

10. Global Machine Learning as a Service Market- Competitive Landscape
      10.1. New Product Launches and Upgradation
      10.2. Acquisitions & Expansions
      10.3. Agreements, Collaborations, and Partnerships

11. Company Profiles (Business Overview, Financial Overview, Products Portfolio, and Strategic Developments)
      11.1. IBM Corporation
      11.2. Accenture PLC
      11.3. Cognizant
      11.4. Oracle Corporation
      11.5. Zonoff, Inc.
      11.6. Capgemini
      11.7. SAPSE
      11.8. Lexisnexis
      11.9. Lemonade. Inc.
      11.10. Google, Inc.
      11.11. Microsoft Corporation
      11.12. Cisco Systems, Inc.
      11.13. Verisk Analytics, Inc.
      11.14. Concirrus

12. Appendix 
      12.1. Questionnaire
      12.2. Available Customization

With advancements in data science and artificial intelligence technologies, the performance of machine learning has augmented at a rapid pace. Companies are now identifying the potential of this technology, and thus, the adoption rate of the same is expected to increase over the estimated period. Companies are offering machine learning solutions on a subscription-based model, making it easier for the consumers to take advantage of this technology. The growth of this market is driven by factors such as increasing adoption of cloud-based services, IoT, and automation; growing demand for predictive maintenance solutions; and the growing need for consumer behaviour analysis. However, security concerns and a lack of skilled personnel to use these solutions hinders the growth of market to some extent.

Analysis of Market Segments

The global machine learning as a service market is segmented  by component (software and services), organization size (large enterprises and small & medium enterprises), deployment type (public cloud and private cloud/virtual private cloud (VPC)), application (marketing & advertising, fraud detection & risk management, digital security & surveillance, augmented & virtual reality, predictive analytics, natural language processing, network analytics, and automated traffic management, computer vision, and others), end-user (aerospace & defense, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others), and geography.

Based on organization size, small & medium enterprises segment is expected to grow at the highest CAGR in the machine learning as a service market during the forecast period. MLaaS provide dynamic data for flexible, responsive, and customer-focused small & medium enterprises as per their preference. MLaaS provide an opportunity for SMEs to dip their toes into using analytics in their day to day operations and thus increase their efficiency.

Based on application, network analytics and automated traffic management application is expected to grow at the highest CAGR during the forecast period, as machine learning is considered as a pivotal tool for network analytics and automated traffic management.

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Machine Learning as a Service Market Key Players:

The report includes competitive landscape based on extensive assessment of the key strategic developments adopted by the leading market participants in the industry over the past 5 years (2015-2019). The key players operating in the global MLaaS market are Google Inc. (U.S.), Microsoft Corporation (U.S.), FICO (U.S.), BigML, Inc. (U.S.), Amazon Web Services (U.S.), Ersatz Labs Inc. (U.S.), Yottamine Analytics (U.S.), Predictron Labs Ltd. (U.K.), H2O.ai (U.S.), IBM Corporation (U.S.), and Hewlett Packard Enterprise (U.S.).

Future Outlook

The study indicates that global machine learning as a service market is expected to rise significantly during the forecasted period as there is willingness to embrace and invest in new technologies related to connectivity technologies, artificial intelligence, and internet of things. Further, emerging markets tend to have the advantage of investing in the right technologies from the onset, but often face the challenge of customer base that lacks access and financial means.

Machine Learning as a Service Market Market Segmentation:

Machine Learning as a Service Components

  • Software
    • Data Storage and Archiving
    • Modeler and Processing
    • Cloud and Web-Based Application Programming Interface
    • Others
  • Services
    • Professional Services
    • Managed Services

Machine Learning as a Service End-Users

  • Aerospace & Défense
  • IT & Telecom
  • Energy & Utilities
  • Public sector
  • Manufacturing
  • BFSI
  • Healthcare
  • Retail
  • Others

Machine Learning as a Service Segmentations by Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

Machine Learning as a Service Applications

  • Marketing & Advertising
  • Fraud Detection & Risk Management
  • Digital Security & Surveillance
  • Augmented & Virtual reality
  • Predictive Analytics
  • Natural Language Processing
  • Network Analytics and Automated Traffic Management 
  • Computer Vision
  • Others

Machine Learning as a Service Segmentation by Region

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Rest of Asia-Pacific
  • Rest of World
    • Latin America
    • The Middle East and Africa

Key Players of Machine Learning as a Service Market

  • Google Inc.
  • Microsoft Corporation
  • FICO
  • BigML, Inc.
  • Amazon Web Services
  • Ersatz Labs Inc.
  • Yottamine Analytics
  • Predictron Labs Ltd.
  • H2O.ai
  • IBM Corporation
  • Hewlett Packard Enterprise 

Key questions answered in Machine Learning as a Service Market report: 

Growing network analytics and automated traffic management application drive the adoption of machine learning services

  • How does the adoption of machine learning services for network analytics and automated traffic management application differ from the adoption for fraud detection & risk management application?
  • What impact does this have on the adoption of machine learning as a service in comparison to other application segments?
  • Which are the high growth market segments in terms of components, organization size, end user, and regions/countries?

The North America machine learning as a service market favors both larger and local players that compete in multiple segments

  • Who are the top competitors in this market and what strategies do they employ to gain shares?
  • What is driving growth and which market segments have the most potential for revenue expansion over the forecast period?
  • What strategies should new companies looking to enter this market use to compete effectively?
  • What are the major drivers, restraints, challenges, and opportunities in the global machine learning as a service market?
  • Who are the major players in various countries and what share of the market do they hold?
  • What are the geographical trends and high growth regions/countries?

Recent new product launches, partnerships, mergers & acquisitions, and expansions taken place in the machine learning as a service market

  • What companies have recently merged/acquired in various countries across the globe and how will these unions affect the competitive landscape of the machine learning as a service market?
  • Which companies have created partnerships and how will these partnerships promote a competitive advantage?
  • Who are the major players in the global machine learning as a service market and what share of the market do they hold?
  • Who are the local emerging players in the machine learning as a service market and how do they compete with the global players?
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