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 2027, at a CAGR of 43% over the forecast period 2021 – 2027
Machine learning (ML), a subfield of artificial intelligence (AI) in its simplest description, spans a broad set of algorithms used to extract useful models from raw data. It was developed from traditional statistics and analysis. Since it revolves around algorithms, model complexity, and computational complexity, the market for machine learning as a service (MLaaS) is in demand. The market requires the use of skilled professionals to develop these solutions.
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Major Players
By Application
- Marketing and Advertisement
- Predictive Maintenance
- Automated Network Management
- Fraud Detection and Risk Analytics
- Other Applications
By Organization Size
- Small and Medium Enterprises
- Large Enterprises
By End User
- IT and Telecom
- Automotive
- Healthcare
- Aerospace and Defense
- Retail
- Government
- BFSI
- Other End Users
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Scope of the Report
The research study analyzes the global Machine Learning as a Service industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:
Recent Developments
o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment
Geographic Coverage
o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume
Key Questions Answered by Machine Learning as a Service Market Report
1. What was the Machine Learning as a Service Market size in 2018 and 2019; what are the estimated growth trends and market forecast (2021-2027).
- What will be the CAGR of Machine Learning as a Service Market during the forecast period (2021-2027)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2018? How these segments are expected to grow during the forecast period (2021-2027).
4. Which manufacturer/vendor/players in the Machine Learning as a Service Market was the market leader in 2018?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
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