MLaaS (Machine Learning as a Service) の世界市場：2019年～2025年の予測
Global Machine Learning as a Service Market 2019-2025
|MLaaS (Machine Learning as a Service) の世界市場：2019年～2025年の予測|
発行: Orion Market Research Pvt Ltd
当レポートは世界のMLaaS (Machine Learning as a Service) 市場について調査しており、市場機会、成長および阻害要因、用途・産業・地域別の市場分析、競合情勢、主要企業のプロファイル等の情報を提供しています。
Machine Learning as a Service
Market Size, Share & Trends Analysis Report, By Application (Predictive Maintenance, Risk Analytics & Fraud Detection, Advertising & Marketing, Automated Network Management, and Others), By Verticals (Retail & Consumer Goods, IT & BFSI, Healthcare, Automotive, Manufacturing, and Others) and Forecast 2019-2025.
The global machine learning as a service market is expected to witness a significant growth rate during the forecast period. The machine learning as a service market is evolving rapidly with the advancement in its application sector such as AI and due to the emergence of new computing technologies. Some of the application of machine learning as a service includes stock marker predictions, sales and marketing, financial domain, and speech recognition and face recognition.
The machine learning as a service market is segmented on the basis of application and verticals. Based on the application, the market is segmented into advertising and marketing, automated network management, predictive maintenance, risk analytics & fraud detection, and others. Automated network management is expected to exhibit considerable growth as machine learning is a pivotal tool for network analytics and automated traffic management owing to the exceptional growth of data across verticals. Further, on the basis of verticals, the market is segmented into BFSI, healthcare, IT & telecom, government & defense, and others.
Geographically, the market is segmented into four major regions: North America, Europe, Asia-Pacific and Rest of the world (RoW). Among these, North America is expected to hold a prominent position in the global machine learning as a service market. The market growth is attributed to the presence of major players such as IBM Corp., Google LLC, and Microsoft Corp. in the region. Further, the report covers the analysis of various players operating in the market. Some of the key players include Amazon.com Inc., IBM Corp., Hewlett Packard Enterprise Co., SAS Institute Inc., Microsoft Corp. Google LLC, and others.
The market study of machine learning as a service market is incorporated by extensive primary and secondary research conducted by the research team at OMR. Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity in our reports.
The report is intended for software vendors, existing companies and new entrants into the market, potential investors and venture capitalists, technology investors, government agencies, and various end-user industries for overall market analysis and competitive analysis. The report provides an in-depth analysis on market size, products offered by the company, and future market opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for making better business decisions.