Final Report will add the analysis of the impact of COVID-19 on this industry.
The report titled Machine Learning as a Service (MLaaS) Market has recently added by MarketIntelligenceData to get a stronger and effective business outlook. It provides an in-depth analysis of different attributes of industries such as trends, policies, and clients operating in several regions. The qualitative and quantitative analysis techniques have been used by analysts to provide accurate and applicable data to the readers, business owners and industry experts.
The Machine Learning as a Service (MLaaS) Market was valued at USD 1.0 billion in 2019 and is expected to reach USD 8.48 billion by 2025, at a CAGR of 43% over the forecast period 2020- 2025.
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Top Companies operating in the Global Machine Learning as a Service (MLaaS) market profiled in the report:– Microsoft Corporation(NASDAQ: MSFT), IBM Corporation, Google LLC(NASDAQ: GOOGL), SAS Institute Inc., Fair Isaac Corporation (FICO), Hewlett Packard Enterprise Company, Yottamine Analytics LLC, Amazon Web Services Inc., BigML Inc., Iflowsoft Solutions Inc., PurePredictive Inc., Sift Science Inc., H2O.ai Inc.
Scope of the Report
Machine learning (ML), a subfield of artificial intelligence (AI) in its simplest description spans a broad set of algorithms that are used to extract useful models from raw data and grew out of traditional statistics and analysis. Since it revolves around algorithms, model complexity, and computational complexity, as the market for machine learning as a service (MLaaS) is on demand as it requires the use of skilled professionals to develop these solutions.
Key Market Trends
Retail Sector is expected to hold the Major Market Share
– The retail industry is booming in the digital space. The revolution is started by some of the prominent companies such as Amazon and eBay that have led to huge challenges for the traditional retail business model, but also have massive potential for retailers and consumers alike.
– Retail and consumer goods companies are seeing the applicability of machine learning (ML) to drive improvements in customer service and operational efficiency. For instance, the Azure cloud is helping retail and consumer brands to improve the shopping experience by ensuring that shelves are stocked and the products are always available when, where and how the consumer wants to shop.
Global Machine Learning as a Service (MLaaS) Market Split by Product Type and Applications:
Market Segment by Type, covers:
Small and Medium Enterprises
Market Segment by Applications, covers:
IT & Telecom
Aerospace & Defense
Regional Analysis For Machine Learning as a Service (MLaaS) Market:
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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Influence of the Machine Learning as a Service (MLaaS) Market Report:
-Comprehensive assessment of all opportunities and risk in the Machine Learning as a Service (MLaaS) market.
-Machine Learning as a Service (MLaaS) market recent innovations and major events.
-Detailed study of business strategies for growth of the Machine Learning as a Service (MLaaS) market-leading players.
-Conclusive study about the growth plot of Machine Learning as a Service (MLaaS) market for forthcoming years.
-In-depth understanding of Machine Learning as a Service (MLaaS) market-particular drivers, constraints and major micro markets.
-Favourable impression inside vital technological and market latest trends striking the Machine Learning as a Service (MLaaS) market.
Machine Learning as a Service (MLaaS) Market report includes the estimation of market size for value (million USD) and volume (M Sqm). Both Top-down and bottom-up approaches have been used to estimate and validate the market size of Machine Learning as a Service (MLaaS) Market, to estimate the size of various other dependent submarkets in the overall market.
Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
How we have factored the effect of Covid-19 in our report:
All the reports that we list have been tracking the impact of COVID-19 the market. Both upstream and downstream of the entire supply chain has been accounted for while doing this. Also, where possible, we will provide an additional COVID-19 update supplement/report to the report in Q3, please check for with the sales team.
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