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Global Machine Learning as a Service (MLaaS) Market By Type( Software Tools, Cloud and Web-based Application Programming Interface (APIs), Other ), By Application ( Manufacturing, Retail, Healthcare & Life Sciences, Telecom, BFSI, Other (Energy & Utilities, Education, Government) ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2028
  • Report ID 135974
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details 
    The report on Machine Learning as a Service (MLaaS) Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years. The global machine learning as a service (mlaas) market is segmented on the basis of type, application, and geography.
    

    The global Machine Learning as a Service (MLaaS) market was valued at US$ XX.X Mn in 2018 and is projected to increase significantly at a CAGR of x.x% from 2019 to 2028.
    

    Machine Learning as a Service (MLaaS) Market Scope:
    
By type, the market is segmented into Software Tools, Cloud and Web-based Application Programming Interface (APIs), and Other. By application, the market is divided into Manufacturing, Retail, Healthcare & Life Sciences, Telecom, BFSI, and Other (Energy & Utilities, Education, Government).
    
Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include Google, IBM Corporation, Microsoft Corporation, Amazon Web Services, BigML, FICO, Yottamine Analytics, Ersatz Labs, Predictron Labs, H2O.ai, AT&T, and Sift Science.
    

    Key Market Segments
    
Type
    

    Software Tools
    

    Cloud and Web-based Application Programming Interface (APIs)
    

    Other
    

    Application
    

    Manufacturing
    

    Retail
    

    Healthcare & Life Sciences
    

    Telecom
    

    BFSI
    

    Other (Energy & Utilities, Education, Government)
    

    Key Market Players included in the report:
    

    Google
    

    IBM Corporation
    

    Microsoft Corporation
    

    Amazon Web Services
    

    BigML
    

    FICO
    

    Yottamine Analytics
    

    Ersatz Labs
    

    Predictron Labs
    

    H2O.ai
    

    AT&T
    

    Sift Science
    

    Reasons to Get this Report:
    
In an insight outlook, this research report has dedicated to several quantities of analysis industry research (global industry trends) and Machine Learning as a Service (MLaaS) Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Machine Learning as a Service (MLaaS) Market; high-growth regions; and market drivers, restraints, and also market chances.
    
The analysis covers Machine Learning as a Service (MLaaS) Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Machine Learning as a Service (MLaaS) Market across sections such as also application and representatives.
    
Additionally, the analysis also has a comprehensive review of the crucial players on the Machine Learning as a Service (MLaaS) Market together side their company profiles, SWOT analysis, latest advancements, and business plans.
    

    The analysis objectives of the report are:
    

    To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
    
To know the Machine Learning as a Service (MLaaS) Market by pinpointing its many subsegments.
    
To profile the important players and analyze their growth plans.
    
To endeavor the amount and value of Machine Learning as a Service (MLaaS) sub-markets, depending on key regions (various vital states).
    
To analyze Machine Learning as a Service (MLaaS) Market concerning growth trends, prospects, and also their participation in the entire sector.
    
To examine and study the Machine Learning as a Service (MLaaS) Market size (volume & value) from the company, essential regions/countries, products, and application, background information from 2012 to 2018, and also prediction to 2028.
    
Primary worldwide Machine Learning as a Service (MLaaS) Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    
To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
  • Table Of Content

    1. Machine Learning as a Service (MLaaS) Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope

    2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players

    3. Global Machine Learning as a Service (MLaaS) Market Overview

    3.1. Machine Learning as a Service (MLaaS) Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges

    3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Manufacturer Intensity Map

    4. Global Machine Learning as a Service (MLaaS) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Machine Learning as a Service (MLaaS) Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. Software Tools

    4.4. Cloud and Web-based Application Programming Interface (APIs)

    4.5. Other

    5. Global Machine Learning as a Service (MLaaS) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Machine Learning as a Service (MLaaS) Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Manufacturing

    5.4. Retail

    5.5. Healthcare & Life Sciences

    5.6. Telecom

    5.7. BFSI

    5.8. Other (Energy & Utilities, Education, Government)

    6. Global Machine Learning as a Service (MLaaS) Market Value ((US$ Mn)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Machine Learning as a Service (MLaaS) Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2.1. Europe

    6.2.1. Europe Machine Learning as a Service (MLaaS) Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Spain
    6.2.1.7. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Machine Learning as a Service (MLaaS) Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia

    6.4. Latin America

    6.4.1. Latin America Machine Learning as a Service (MLaaS) Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Machine Learning as a Service (MLaaS) Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA

    7. Global Machine Learning as a Service (MLaaS) Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. Google

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments

    7.4. IBM Corporation

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments

    7.5. Microsoft Corporation

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments

    7.6. Amazon Web Services

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments

    7.7. BigML

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments

    7.8. FICO

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments

    7.9. Yottamine Analytics

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments

    7.10. Ersatz Labs

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments

    7.11. Predictron Labs

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments

    7.12. H2O.ai

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments

    7.13. AT&T

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments

    7.14. Sift Science

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    Research Insights & Deliverables
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    • Company Revenue StatisticsCompany Revenue Statistics
    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
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    Research Insights & Deliverables
    • Development and Future ForecastDevelopment and Future Forecast
    • Competitive benchmarkingCompetitive benchmarking
    • Company Revenue StatisticsCompany Revenue Statistics
    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
 
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