TMCnet News

Global Deep Learning Markets to 2025 - Increasing Demand for Big Data Analytics Due to Huge Unstructured Data Generation at End-Use Industry Sites
[June 21, 2021]

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's offering.

Research and Markets Logo

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.

Report Includes:

  • 57 data tables and 46 additional tables
  • An overview of the global market for deep learning technology within the framework of big data analytics
  • Analses of the global market trends, with corresponding market analysis data for 2019, estimates for 2020, and projections of compound annual growth rates (CAGRs) through 2025
  • Insights into the market potential for deep learning technology, opportunities and challenges, and technological trends and issues impacting the industry
  • Estimation of market size and forecast, with a deep dive of market share analysis on the basis of technology type, application, end-use industry with major regions and countries involved
  • Understanding of the upcoming market opportunities and areas of focus to forecasting the market into various segments, and the value chain of the deep learning industry ecosystem
  • Review of the U.S. patents and patent applications filed on deep learning technologies
  • Discussion of the impact of COVID-19 pandemic on the deep learning market and the global economy
  • Information pertaining to strategic profiling of key companies present across the globe and their competitive landscape in this market
  • Profile descriptions of the market-leading participants, including Alphabet Inc., Inc., Facebook Inc., Fujitsu Ltd., Hewlett Packard Enterprise Co., Intel Corp., IBM Corp., Microsoft Corp., Nvidia, and Qualcomm Inc.

Key Topics Covered:

Chapter 1 Introduction

Chapter 2 Summary and Highlights

Chapter 3 Market and Technology Background

  • Technology Overview
  • Deep Learning Ecosystem Analysis
  • Technology Use Cases
  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Other Applications
  • Market Drivers
  • Growing R&D Investments to Achieve Enhanced Computational Efficiency and Cost Optimization
  • Rising Adoption of AI and Cloud Technologies
  • Increasing Demand for Big Data Analytics Due to Huge Unstructured Data Generation at End-Use Industry Sites
  • Market Restraints
  • Dearth of Training Data and Technical Expertise
  • Data Security and Privacy Issues
  • Impact of COVID-19 on Deep Learning Market

Chapter 4 Market Breakdown by Offering

  • Overview
  • Hardware
  • Processor
  • Memory
  • Network Devices
  • Software
  • Platform
  • Solutions
  • Services
  • Installation and Integration
  • Training
  • Support and Maintenance

Chapter 5 Market Breakdown by End User

  • Overview
  • Industrial
  • Retail
  • Fintech
  • Healthcare
  • Marketing
  • Automotive
  • Security
  • Agriculture
  • Human Resources
  • Legal

Chapter 6 Market Breakdown by Region

  • Overview
  • Americas
  • U.S.
  • Canada
  • Mexico
  • Brazil
  • Rest of the Americas
  • Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Rest of APAC
  • Middle East and Africa
  • Middle East
  • Africa

Chapter 7 Competitive Landscape

  • Market Ranking
  • Patent Review
  • Strategic Analysis
  • Product Launches
  • Collaborations and Partnerships
  • Acquisitions, Expansions and Investments

Chapter 8 Company Profiles

  • Advanced Micro Devices Inc.
  • Alphabet Inc.
  • Amazon.Com, Inc.
  • Facebook Inc.
  • Fujitsu Ltd.
  • Graphcore Ltd.
  • Hewlett Packard Enterprise Co.
  • Huawei Technologies Co., Ltd.
  • Intel Corp.
  • International Business Machines (Ibm) Corp.
  • Micron Technology Inc.
  • Microsoft Corp.
  • Mythic
  • Nvidia Corp.
  • Qualcomm Inc.
  • Samsung Electronics Co., Ltd.
  • Sensory Inc.
  • Tenstorrent Inc.
  • Xilinx Inc.
  • Zero Asic Corp. (Formerly Adapteva Inc.)

For more information about this report visit

Media Contact:

Research and Markets
Laura Wood, Senior Manager   

For E.S.T Office Hours Call +1-917-300-0470
For U.S./CAN Toll Free Call +1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

U.S. Fax: 646-607-1904
Fax (outside U.S.): +353-1-481-1716

Cision View original content:

SOURCE Research and Markets

[ Back To's Homepage ]