New York, 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.
The growing demand for personalization is driven by the need for organizations to provide a more personalized experience for their customers.
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Market Segments
The machine learning market is segmented by deployment, end-use, and region. By deployment, the market is classified into cloud, and on-premise. Based on end-use, it is bifurcated into BFSI, retail, telecommunications, manufacturing, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and Rest of the World.
Key Players
The global machine learning market includes players such as IBM Corporation, SAP SE, SAS Institute Inc, Google Inc., Amazon Web Services Inc., Baidu Inc, BigML Inc., Fair Isaac Corporation, Hewlett Packard Enterprise, Microsoft Corporation, and others.
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