Global Deep Learning Markets to 2025 - Increasing Demand for Big Data Analytics Due to Huge Unstructured Data Generation at End-Use Industry Sites
DUBLIN, June 21, 2021 /PRNewswire/ -- The "Deep Learning: Global Markets" report has been added to ResearchAndMarkets.com's offering.
The report provides an overview of the global market for deep learning and analyzes market trends. Using 2019 as the base year, the report provides estimated market data for the forecast period of 2020 through 2025. Revenue forecasts for this period are segmented by offering, end-user, and region. Market values have been estimated based on the total revenues of hardware, software, and services companies.
Deep learning, also known as deep machine learning (ML), deep structured learning, hierarchical learning, deep neural learning, and deep neural network, is a subset of ML. The technology uses an artificial neural network (ANN) to act like the human brain, by learning and solving complex problems through extracting features from unstructured data in areas such as speech recognition, natural language processing (NLP), and image classification. Deep learning is the fastest-growing AI technology.
The outbreak of the COVID-19 pandemic has led to a significant change in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments, all of which has impacted the deep learning market.
Several important research studies have been conducted to automate the detection of the disease in patients. Scientists are trying to apply deep learning technology to the analysis of radiography images for the accurate detection of the disease. Over the next few years, startups and large technology companies are expected to use deep learning to create new products and services that will transform the way people interact with technology.
The report also focuses on the major drivers and challenges that affect the market and the vendor landscape. The report explores the competitive landscape and current trends in the deep learning market and concludes with an analysis of the deep learning vendor landscape and profiles of the major players in the global market.
Chapter 1 Introduction
Chapter 2 Summary and Highlights
Chapter 3 Market and Technology Background
Chapter 4 Market Breakdown by Offering
Chapter 5 Market Breakdown by End User
Chapter 6 Market Breakdown by Region
Chapter 7 Competitive Landscape
Chapter 8 Company Profiles
For more information about this report visit https://www.researchandmarkets.com/r/tlggvp
Research and Markets
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