Deep Learning Market by Component (Hardware, Software & Services), Application (Image Recognition, Signal Recognition & Data Mining), and End-User Industry (Law, Retail, Fintech, Healthcare, Automotive, Marketing, Manufacturing and Human Resources) - Global Opportunity Analysis and Industry Forecast, 2019-2026

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Global Deep Learning Market Outlook -2026

Deep learning is a subfield of machine learning that consist of a series of computer instructions or algorithms that is inspired by the function and structure of the brain. Deep learning is widely known as artificial neural networks or deep neural networks. Deep neural networks are a set of algorithms that are designed to recognize patterns and are built with components of larger machine-learning applications, which includes algorithms for reinforcement learning, classification, and regression. Examples of deep learning applications includes driverless cars, voice control in consumer devices, and many others, which help boost the deep learning market size.

Rising need to improve computing power and decline hardware cost owing to deep learning algorithms capability to run or execute faster on a GPU as compared to a CPU is resulting into high adoption of deep learning technologies among various industries. Also, proliferation of deep learning integration with big data analytics is expected to drive the growth of the global deep learning market during the forecast period. However, lack of technical expertise in deep learning and absence of standards and protocols are the factors that can hamper the deep learning market growth.

The global deep learning market is segmented based on component, application, end-user industry, and region. Based on component, it is categorized into hardware, software, and services. Based on application, it is classified into image recognition, signal recognition, data mining, and others. Based on end-user industry, it is divided into law, retail, fintech, healthcare, automotive, marketing, manufacturing, human resources, and others. Based on region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the global deep learning market analysis are Sensory, Inc., Skymind, Inc., Xilinx, Inc., Google LLC, IBM Corporation, Intel Corporation, Micron Technology, Inc., Microsoft Corporation, Nvidia Corporation, Amazon Web Services, Inc., Qualcomm Incorporated, and Samsung Electronics Co., Ltd

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the global deep learning market size along with the current trends and future estimations to elucidate the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on the market size is provided.
Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global deep learning market industry from 2019 to 2026 is provided to determine the market potential.

KEY MARKET SEGMENTS

BY COMPONENT

Hardware
Software
Services

BY APPLICATION

Image Recognition
Signal Recognition
Data Mining
Others

BY END-USER INDUSTRY

Law
Retail
Fintech
Healthcare
Automotive
Marketing
Manufacturing
Human Resources
Others

BY REGION

North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Rest of Europe
Asia-Pacific
- China
- India
- Japan
- Singapore
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

KEY MARKET PLAYERS PROFILED IN THE REPORT

Sensory, Inc.
Skymind, Inc.
Xilinx, Inc.
Google LLC
IBM Corporation
Intel Corporation
Micron Technology, Inc.
Microsoft Corporation
Nvidia Corporation
Amazon Web Services, Inc.
Qualcomm Incorporated
Samsung Electronics Co., Ltd

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