Machine Learning as a Service Market by Component (Software and Services), by Organization Size (Large Enterprises and Small & Medium Enterprises), by End-Use Industry (Aerospace & Defense, IT & Telecom, Energy & Utilities, Public sector, Manufacturing, BFSI, Healthcare, Retail, and Others), and by Application (Marketing & Advertising, Fraud Detection & Risk Management, Predictive analytics, Augmented & Virtual reality, Natural Language processing, Computer vision, Security & surveillance, and Others) – Global Opportunity Analysis and Industry Forecast, Covid 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of combination of factors, including COVID-19 containment situation, end-use market recovery & Recovery Timeline of 2020/ 2021, the latest developments, market size, status, upcoming technologies, industry drivers, challenges, regulatory policies, with key company profiles and strategies of players. The research study provides market overview, Machine Learning as a Service market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Machine Learning as a Service market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get report to understand the structure of the complete fine points (Including Full TOC, List of Tables & Figures, Chart). – In-depth Analysis Pre & Post COVID-19 Market Estimates
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Machine learning is a process of data analysis that comprises of statistical data analysis performed to derive desired predictive output without the implementation of explicit programming. It is designed to incorporate the functionalities of artificial intelligence (AI) and cognitive computing involving a series of algorithms and is used to understand the relationship between datasets to obtain a desired output. Machine learning as a service (MLaaS) incorporates range of services that offer machine learning tools through cloud computing services. The global machine learning as a service market was valued at $571 million in 2016, and is projected to reach $5,537 million by 2023, growing at a CAGR of 39.0% from 2017 to 2023.
Increased penetration of cloud-based solutions, growth associated with artificial intelligence and cognitive computing market, and increase in market for prediction solutions drive the market growth. In addition, growth in IT expenditure in emerging nations and technological advancements for workflow optimization fuel the demand for advanced analytical systems driving the machine learning as a service market growth. However, dearth of trained professionals is expected to impede the machine learning as a service market share. Furthermore, increased application areas and growth of IoT is expected to create lucrative opportunities for machine learning as a service market growth.
The global machine learning as a service market is segmented based on component, organization size, end-use industry, application, and geography. The component segment is bifurcated into software and services. Based on organization size, it is divided into large enterprises and small & medium enterprises. The application segment is categorized into marketing & advertising, fraud detection & risk management, predictive analytics, augmented & virtual reality, natural language processing, computer vision, security & surveillance, and others. On the basis of end-use industry, it is classified into aerospace & defense, IT & telecom, energy & utilities, public sector, manufacturing, BFSI, healthcare, retail, and others. By geography, the machine learning as a service market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Key players that operate in the machine learning as a service market are Google Inc., SAS Institute Inc., FICO, Hewlett Packard Enterprise, Yottamine Analytics, Amazon Web Services, BigML, Inc., Microsoft Corporation, Predictron Labs Ltd., and IBM Corporation.
KEY BENEFITS FOR STAKEHOLDERS
This report provides an overview of the trends, structure, drivers, challenges, and opportunities in the global machine learning as a service market.
Porter’s Five Forces analysis highlights the potential of buyers & suppliers, and provides insights on the competitive structure of the market to determine the investment pockets.
Current and future trends adopted by the key market players are highlighted to determine overall competitiveness.
The quantitative analysis of the machine learning as a service market growth from 2017 to 2023 is provided to elaborate the market potential.
Key Market Segments
By Organization Size
Small & Medium Enterprises
By End-Use Industry
Aerospace & Defence
IT & Telecom
Energy & Utilities
Marketing & Advertising
Fraud Detection & Risk Management
Augmented & Virtual reality
Natural Language processing
Security & surveillance
Key players profiled in the report
SAS Institute Inc.
Hewlett Packard Enterprise
Amazon Web Services
Predictron Labs Ltd.
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
North America (United States, Canada & Mexico)
Asia-Pacific (Japan, China, India, Australia etc)
Europe (Germany, UK, France etc)
Central & South America (Brazil, Argentina etc)
Middle East & Africa (UAE, Saudi Arabia, South Africa etc)
In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.
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Changing Forecasts in a Time of Crisis: explores key issues, including:
- Future changes in consumer behavior
- High-frequency economic data
- Mapping Out a Potential Recovery
- Business Strategies During COVID-19
- Near & Long Term Risk Outlook, Risk Assessment and Opportunities
Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis
- Market size and growth rate during forecast period.
- Key factors driving the Market.
- Key market trends cracking up the growth of the Market.
- Challenges to market growth.
- Key vendors of Market.
- Detailed SWOT analysis.
- Opportunities and threats faces by the existing vendors in Global Market.
- Trending factors influencing the market in the geographical regions.
- Strategic initiatives focusing the leading vendors.
- PEST analysis of the market in the five major regions.
- What should be entry strategies, countermeasures to economic impact, and marketing channels?
- What are market dynamics?
- What are challenges and opportunities?
- What is economic impact on market?
- What is market chain analysis by upstream raw materials and downstream industry?
- What is industry considering capacity, production and production value? What will be the estimation of cost and profit? What will be market share, supply and consumption? What about import and export?
- What is current market status? What’s market competition in this industry, both company, and country wise? What’s market analysis by taking applications and types in consideration?
- What were capacity, production value, cost and profit?
- Who are the global key players in this industry? What are their company profile, their product information, and contact information?
- Which manufacturing technology is used, what are their company profile, their product information, and contact information?
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Key Points Covered in Machine Learning as a Service Market Report:
COVID 19 Outbreak Impact Analysis : Chapter 1, to describe Definition, Specifications and Classification of Global Machine Learning as a Service, Applications of , Market Segment by Regions;
COVID 19 Outbreak Impact Analysis : Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
COVID 19 Outbreak Impact Analysis : Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
COVID 19 Outbreak Impact Analysis : Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
COVID 19 Outbreak Impact Analysis : Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
COVID 19 Outbreak Impact Analysis : Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 11, to analyze the Consumers Analysis of Global Machine Learning as a Service by region, type and application;
COVID 19 Outbreak Impact Analysis : Chapter 12, to describe Machine Learning as a Service Research Findings and Conclusion, Appendix, methodology and data source;
COVID 19 Outbreak Impact Analysis : Chapter 13, 14 and 15, to describe Machine Learning as a Service sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
……..and view more in complete table of Contents
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