Global Machine Learning (ML) Market report from Global Insight Services is the single authoritative source of intelligence on Machine Learning (ML) Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make predictions with minimal human intervention.
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Key Trends
The key trends in machine learning technology are:
1. More data: The more data that is available, the more accurate machine learning models can be.
2. More computing power: Machine learning requires a lot of computing power in order to train models and make predictions.
Key Drivers
The key drivers of the machine learning market are the increasing need for data-driven decision-making, the growing demand for personalization, and the need for better predictive analytics. The increasing need for data-driven decision-making is driven by the need for organizations to make better decisions faster. In today’s competitive landscape, organizations need to be able to make decisions based on data rather than intuition or gut feeling.
Market Segmentation
By End-Use
- BFSI
- Retail
- Telecommunications
By Deployment
- Cloud
- On-Premises
By Region
- North America
- US
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Key Players
- IBM Corporation
- SAP SE
- SAS Institute Inc
- Google Inc
- Amazon Web Services Inc
- Baidu Inc
- BigML Inc
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