Machine Learning as a Service (MLaaS) Market
The machine learning as a service (MLaaS) market study aims to provide a thorough overview of various growth dynamics, including key drivers and limiting factors, customer or end-user patterns, and new avenues. The research study presented in this report provides a comprehensive and insightful overview of the market, segmentation, dynamics and geographic development of the global machine learning as a service (MLaaS) market. The research study is designed using in-depth qualitative and quantitative analysis of the global market for machine learning as a service (MLaaS).
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Machine Learning as a Service (MLaaS) is an collection of software offering cloud computing services with machine learning resources. Service providers for machine learning offer devices including APIs, data visualization and facial recognition, natural language processing and profound learning. The actual computation is carried out by the data centers of the company. MLaaS enables clients benefit from machine learning without the associated operating costs, time and risk of setting up an internal machine learning team. Infrastructural concerns such as pre-processing data, model training, model evaluation, and data prediction can be reduced through MLaaS.
The global machine learning as a service (MLaaS) market can be classified as per the type, organization size, application, end user and region. In terms of application, the market can be bifurcated into marketing & advertising, fraud detection & risk analytics, predictive maintenance, augmented reality, network analytics, and automated traffic management. Based on end user the market is segmented into BFSI, IT & telecom, automobile, healthcare, defense, retail, media & entertainment, and communication. The healthcare is expected to be the largest end users of the machine learning technology in the machine learning as a service (MLaaS) market during the forecast timespan.
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The market has been studied for North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, and Machine learning as a service (MLaaS) market is expected to grow with a rapid pace in the Asia Pacific region due to its emerging economies like China, India, Japan being the major contributors in the region.
The market is highly fragmented with the presence of many large and small market players. The key players in the market Microsoft, IBM Corporation, International Business Machine, Amazon Web Services, Google, Bigml, Fico, Hewlett-Packard Enterprise Development, At&T, Fuzzy.ai, Yottamine Analytics, Ersatz Labs, Inc., and Sift Science Inc among others have been profiled in the study to provide a competitive view about the market. Their strategies to consolidate their shares or positions, and their insight into brand positioning strategies for key traction players are studied here. The analysis in the report looks at the investment patterns of leading players more closely.
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This report shows the volume of sales, revenue (US$ million), product quality, market share and growth rate of each form. The global machine learning as a service (MLaaS) Market Report monitors the size of demand for key product types and applications patterns that affect the sales shares of different products in key regions. The machine learning as a service (MLaaS) market report provides insights into the revenues and volumes generated by key end-users. The study provides an analysis of goods that attracted significant investments from existing players and new entrants.
Key Developments:
o In April 2019, Microsoft developed a platform that uses machine teaching to help deep reinforcement learning algorithms to address real-world problems.
o In November 2018, Amazon announced the expansion of its machine learning services to healthcare organizations. Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now HIPAA compliant.
Market Segmentation:
By Type:
o Special Services
o Management Services
By Organization Size:
o SMEs
o Large Enterprises
By Application:
o Marketing & Advertising
o Fraud Detection & Risk Analytics
o Predictive Maintenance
o Augmented Reality
o Network Analytics
o Automated Traffic Management
By End User:
o BFSI
o IT & Telecom
o Automobile
o Healthcare
o Defence
o Retail
o Media & Entertainment
o Communication
By Region:
North America
o By Country (US, Canada, Mexico)
o By Type
o By Organization Size
o By End User
o By Application
Western Europe
o By Country (Germany, UK, France, Italy, Spain, Rest of Western Europe)
o By Type
o By Organization Size
o By End User
o By Application
Eastern Europe
o By Country (Russia, Turkey, Rest of Eastern Europe)
o By Type
o By Organization Size
o By End User
o By Application
Asia Pacific
o By Country (China, Japan, India, South Korea, Australia, Rest of Asia Pacific)
o By Type
o By Organization Size
o By End User
o By Application
Middle East
o By Country (UAE, Saudi Arabia, Qatar, Iran, Rest of Middle East)
o By Type
o By Organization Size
o By End User
o By Application
Rest of the World
o By Region (South America, Africa)
o By Type
o By Organization Size
o By End User
o By Application
Reasons to Buy This Report:
o Market size estimation of the global Machine Learning as a Service (MLaaS) market on a regional and global basis
o The unique research design for market size estimation and forecast
o Profiling of major companies operating in the market with key developments
o Broad scope to cover all the possible segments helping every stakeholder in the market
Customization:
We provide customization of the study to meet specific requirements:
o By Segment
o By Sub-segment
o By Region/Country
Contact:
Quince Market Insights
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Pune, Maharashtra 411028
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