Global Machine Learning as a Service (MLaaS) Market: Full In-depth Analysis by Top Key Players, Regional Outlook, Latest Trend and Forecast to 2024

“Global Machine Learning as a Service (MLaaS) Market”
Global Machine Learning as a Service (MLaaS) Market 2017 Industry Research Report is a professional report which provides thorough knowledge along with complete information pertaining to the Global Machine Learning as a Service (MLaaS) Market a proposed supply, demand, applications, industry chain summary, industry policies in addition to plans, product specifications, manufacturing processes, cost structures.

Global Machine Learning as a Service (MLaaS) market research report is a proven source of information which offers a telescopic view of the current market trends, situations, opportunities and status. The data and the information regarding the Machine Learning as a Service (MLaaS) industry are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the market experts.  The data and the information regarding the Machine Learning as a Service (MLaaS) industry are taken from reliable sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the market experts. It covers major manufacturers, suppliers, distributors, traders, customers, investors and major types, major applications.

The Global Machine Learning as a Service (MLaaS) Market accounted for USD 821.1 million in 2016 growing at a CAGR of 40.3% during the forecast period of 2017 to 2024. The upcoming market report contains data for historic year 2014, 2015, the base year of calculation is 2016 and the forecast period is 2017 to 2024.

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Global Machine Learning as a Service (MLaaS) Market By Geography; Component (Software Tools, Services); Application (Marketing and Advertising, Fraud Detection and Risk Analytics, Predictive Maintenance, Augmented Reality, Network Analytics and Automated Traffic Management); Organization Size; Vertical – Industry Trends and Forecast to 2024

Top Competitors:

  • Microsoft,
  • IBM Corporation,   
  • Amazon Web Services, Inc.,
  • Google, Inc.,
  • BigML, Inc.,
  • Fair Isaac Corporation,
  • Hewlett Packard Enterprise Development LP,
  • others.

Market Definition:

Machine learning as a service refers to a number of services cloud providers are offering. MLaaS providers offer tools including data visualization, APIs, face recognition, natural language processing, predictive analytics and deep learning. It has its wide application in education, banking and financial services, insurance, automotive and transportation, healthcare, defense, retail and e-commerce, media and entertainment, telecom, others. Adoption of cloud-based technologies and technological advancement may act as the major driver in the growth of machine learning as a service market. On the other hand, lack of skilled consultants to deploy machine learning services may hamper the market.

Major market drivers and restraints:

  • Adoption of cloud-based technologies
  • Strong need to understand customer behavior
  • Technological advancement
  • Government and compliance issues
  • Lack of skilled consultants to deploy machine learning services

Competitive Analysis:

The report for machine learning as a Service (MLaaS) market include detailed vendor level analysis for market shares in 2016 for Global, North America, Europe, Asia Pacific, Middle East and Africa and South America specifically. Also impact and development analysis of key vendors is registered in the market and factored on the basis of Vendor Positioning Grid Analysis which measures the vendors strengths and opportunities against present market challenges, measure providers ability to identify or satisfy present market needs, map providers market vision to current and upcoming market dynamics among others. The report also measures technology life line curve and market time line to analyze and do more affective investments.

Strategic Key attributes of the report:

• The 360-degree Machine Learning as a Service (MLaaS) overview based on a global and regional level

• Market share, value, volume, and production capacity is analyzed on global, regional and country level

• A complete and useful guide for new market aspirants

• Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

• Supply and Consumption – In continuation of sales, this section studies supply and consumption for the Machine Learning as a Service (MLaaS) Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this part.

• Competitors – In this section, various Machine Learning as a Service (MLaaS) industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

• Production Analysis – Production of the Machine Learning as a Service (MLaaS) is analyzed with respect to different regions, types and applications. Here, price analysis of various Machine Learning as a Service (MLaaS) Market key players is also covered.

• Sales and Revenue Analysis – Both, sales and revenue are studied for the different regions of the Machine Learning as a Service (MLaaS) Market. Another major aspect, price, which plays an important part in the revenue generation, is also assessed in this section for the various regions.

• Other analyses – Apart from the information, trade and distribution analysis for the Machine Learning as a Service (MLaaS) Market.

Market Segmentation:

On the basis of component:- Software tools, services.

The software tools sub segment:- Data storage and archiving, modeler and processing, cloud and web-based application programming interface, others.

The services segment is further sub segmented:- Professional services, and managed services.

On the basis of application:- Marketing and advertising, fraud detection and risk analytics, predictive maintenance, augmented reality, network analytics and automated traffic management, and others.

On the basis of organization size:- Small and medium enterprises, and large enterprises.

On the basis of vertical:- Education, banking and financial services, insurance, automotive and transportation, healthcare, defense, retail and e-commerce, media and entertainment, telecom, others.

On the basis of geography:- Global Machine Learning as a service (MLaaS) market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific, and Middle East & Africa.

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