Global Machine Learning Market 2019-2025: Latest Technologies, Innovations, Trends and Business Forecast

Global Machine Learning Market Forecast 2019-2025 Report provides an in-depth research on the fast-evolving Machine Learning Market. The Competitive analysis of the leading companies has been highlighted in the report along with the regional overview & global outlook of the market till 2025.

Machine learning is one of the fastest growing areas of computer science, with a wide range of applications. Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

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Machine learning systems help in automatic detection of meaningful patterns in data. In recent years, machine learning has become a common tool for extracting information from large data sets. Users of machine learning solutions can analyze massive amounts of data faster for more accurate results to identify profitable opportunities or dangerous risks.

According to BCC Research estimates, the global machine learning market was valued at REDACTED in 2016. The global machine learning market is expected to grow at a CAGR of REDACTED and is forecast to reach REDACTED by 2022. The growth of machine learning market is largely being driven by factors such as increasing computing power, increasing availability of big data for learning and prediction, improvement in machine learning algorithms and increasing usage of cloud for data storage. The market growth for machine learning is being restrained by factors such as usage of machine learning by hackers and lack of skilled labor to execute machine learning systems.

The global market for machine learning was segmented on the basis on type, deployment, organization size, end-user industry and geography.
Based on type, the machine learning market was classified into supervised learning, unsupervised learning, semi-supervised learning and reinforced learning. Based on deployment model, the machine learning market was segmented into cloud and on-premise solutions. Cloud deployment, which currently dominates the market, reached REDACTED in 2016.

The machine learning market by cloud deployment is expected to grow at a CAGR of REDACTED and is forecast to reach REDACTED by 2022. The global machine learning market based on firm size was categorized into large enterprises and small and medium enterprises (SMEs). Large enterprises currently dominate the adoption of machine learning solutions and are expected to maintain their dominant position over the forecast period. Large enterprises dominate the machine learning market due to large volumes of structured data and a skilled workforce.

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Based on end-user vertical, the overall market was classified into banking, financial and insurance (BFSI) sector, healthcare and life sciences, retail, IT and telecommunication, government and defense, manufacturing, energy and utilities and others. The BFSI segment was the dominant industry vertical and was valued at REDACTED in 2016. The BSFI segment, which is estimated to grow at a CAGR of REDACTED, is forecast to reach REDACTED by 2022.

In the financial sector, machine learning solutions play an integral role in processes such as loan approval, managing assets, accessing risks and others. Healthcare and life sciences is the fastest growing end-user industry. Machine learning solutions in healthcare have transformed how services are provided. Organizations that use machine learning solutions can provide more personalized healthcare assistance, image detection for diagnosis, and improve efficiency, reliability and accuracy. Geographically, the market was segmented into North America, Europe, Asia-Pacific and RoW.

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Table of Contents
Chapter 1 Introduction
Chapter 2 Summary and Highlights
Chapter 3 Machine Learning: Market Overview
Chapter 4 Market Breakdown by Type
Chapter 5 Market Breakdown by Deployment
Chapter 6 Market Breakdown by Organization Size
Chapter 7 Market Breakdown by End-user Industry
Chapter 8 Market Breakdown by Region
Chapter 9 Competitive Landscape
Chapter 10 Company Profiles

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