Deep Learning Market, By Component (Hardware, Software, and Service (Installation Service, Integration Service, and Maintenance & Support Service)), by Application (Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining),

Deep Learning Market, By Component (Hardware, Software, and Service (Installation Service, Integration Service, and Maintenance & Support Service)), by Application (Image Recognition, Voice Recognition, Video Surveillance & Diagnostics, and Data Mining), By End User (Automotive, Aerospace & Defense, BFSI, Healthcare, Manufacturing, Retail, and Others), and by Region (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028

Deep Learning is an approach of machine learning that uses neural networks to facilitate unsupervised patterns generated from a large volume of unstructured data. Deep learning or deep structured learning use statistics and predictive modeling for analyzing and interpreting large volumes of unstructured data. It uses many complex structured and unstructured algorithms to generate meaningful insights from the data. It also uses artificial technology to mimic the functioning of the human brain while processing data, patterns, and is helpful in decision making. Deep learning is mainly used in self-driving vehicles, speech recognition software, language translation services, and voice recognition tools. This technology is being adopted in many applications such as healthcare, automotive, retail, aerospace & defense, and others.
Market Dynamics
The global deep learning market is expected to grow significantly during the forecast period, owing to the increasing adoption of artificial intelligence, deep learning, and IoT technologies in hardware, software, and services components. The increasing demand for artificial intelligence and the internet of things (IoT) created a demand for deep learning technology for high computing technologies. Many companies are manufacturing hardware components such as processor, memory, and network hardware that are optimized with artificial intelligence. For instance, in April 2016, NVIDIA, a U.S.-based technology company, launched DGX-1, the first deep learning supercomputer to meet the unlimited computing demand of artificial intelligence. The deep learning software solutions are used in various applications and compatible platforms for high computing applications such as supercomputer. The software consists of libraries and software development kits that can be used for re-programming. Machine learning in services such as managed and professional help many organizations to understand deep learning algorithms to enhance productivity and efficiency. For instance, as cyber threats across the globe have increased, managed services are used by the companies in order to decrease cyber threats in the organizations. For instance, according to a report published by Hiscox Inc., a Bermuda-based international insurance group, 74% of the organization has a new infrastructure and 10% of the organization has the necessary infrastructure to deal with cyber threats. To overcome threats, managed service is one of the major solutions that will drive the market growth.
Among end user, the banking, financial services, and insurance (BFSI) segment is expected to exhibit the highest growth during the forecast period. The deep learning solutions provide support to the financial service providers to protect their data, customers, meet industry & government compliance standards, and avoid damage caused by data breaches. For instance, in August 2021, Visa Inc., a U.S.-based multinational financial service provider company, launched a security suite to prevent payment frauds. The BFSI segment is continuously focusing on upgrading its processing and transactional technologies, and also focusing on providing end-to-end security for transactions to minimize the fraud. For instance, in September 2016, healthcare and banking, financial services, and insurance (BFSI) used Microsoft cloud platforms to protect employee data, and optimize business processes and models. The industry is facing challenges in maintaining the application, network, and data security. The attackers are targeting these sectors with viruses, malware, and other cyber-attacks. All these factors are expected to drive the deep learning market growth during the forecast period.
Moreover, major global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on developing new products with new features to cater to the demand from the end users. For instance, in November 2017, Amazon Web Services Inc., (AWS), a subsidiary of Amazon.com Inc., announced a collaboration with Intel Corporation, a U.S.-based multinational technology company and they have launched DeepLens, a deep learning wireless video camera. Through this collaboration, DeepLens camera provides creators great tools to design and build artificial intelligence (AI) and machine learning products.

Key features of the study:
This report provides in-depth analysis of the global deep learning market size (US$ Billion) and compound annual growth rate (CAGR %) for the forecast period (2022-2028), considering 2021 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading market players
It profiles leading players in the global deep learning market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
Companies covered as a part of this study include NVIDIA Corporation, Intel Corporation, Xilinx, Micron Technology, Inc., Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Sensory Inc., Pathmind, Inc., Baidu Inc, Nuance Communications, Cisco Systems, Inc., Apple, Inc., and Wipro Limited
Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics
The global deep learning market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global deep learning market
Detailed Segmentation
Global Deep Learning Market, By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
Global Deep Learning Market, By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
Global Deep Learning Market, By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
Global Deep Learning Market, By Region:
North America
By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Country:
U.S.
Canada
Europe
By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Country:
Germany
U.K.
France
Italy
Spain
Russia
Rest of Europe
Asia Pacific
By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Country:
China
India
Japan
Australia
South Korea
ASEAN
Rest of Asia Pacific
Latin America
By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Country:
Brazil
Mexico
Argentina
Rest of Latin America
Middle East and Africa
By Component:
Hardware
Software
Services
Installation Service
Integration Service
Maintenance & Support Service
By Application:
Image Recognition
Voice Recognition
Video Surveillance & Diagnostics
Data Mining
By End User:
Automotive
Aerospace & Defense
BFSI
Healthcare
Manufacturing
Retail
Others
By Country/Region:
GCC Countries
South Africa
Rest of Middle East and Africa
Company Profiles
NVIDIA Corporation*
Company Overview
Product Portfolio
Financial Performance
Key Strategies
Recent Developments/ Updates
Intel Corporation
Xilinx
Micron Technology, Inc.
Qualcomm Technologies, Inc.
IBM Corporation
Google Inc.
Microsoft
Facebook, Inc.
Samsung Electronics Co., Ltd.
Sensory Inc.
Pathmind, Inc.
Baidu Inc.
Nuance Communications
Cisco Systems, Inc.
Apple, Inc.
Wipro Limited
“*” marked represents similar pointers for each company