Deep Learning Market By Component, By Application, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2023-2032

Description

List of Tables

According to a new report published by Allied Market Research, titled, "Deep Learning Market," The deep learning market was valued at $16.9 billion in 2022, and is estimated to reach $406 billion by 2032, growing at a CAGR of 37.8% from 2023 to 2032.

Deep learning is a subset of machine learning (ML) and artificial intelligence (AI) to imitate the human learning process to learn by example. The technology helps data scientists as it aids in facilitating and accelerating the collection process, analyzing process, and processing process for large amounts of data. In addition, it makes complex correlations between data and learning from examples and previous mistakes. Furthermore, deep learning technology powers chatbots to deliver excellent customer experience and satisfaction. Moreover, deep learning along with ML and AI enables voice assistant work such as iPhone Siri and Google Assistant. In addition, the technology helps e-commerce sites to navigate rapidly. Hence, deep learning technology has various uses and is assisting in various industries.

The key factors that drive the growth of the deep learning market include growing data availability and advancements in hardware technology. The proliferation of digital devices and online platforms is generating massive datasets. This is encouraging the adoption of deep learning techniques to extract meaningful insights from these data. Furthermore, the development of powerful graphics processing units (GPUs) and specialized hardware accelerators such as tensor processing units (TPUs) is enabling faster training and inference of deep learning models. However, increasing data security concerns and high computational requirements is expected to hamper the market growth. Collecting and storing large amounts of sensitive data is raising concerns about data privacy and security breaches. Moreover, training high complex models require expensive hardware which is out of range for medium and small-size companies. On the contrary, industry-specific applications and natural language processing is expected to offer remunerative opportunities for the expansion of the global deep learning market during the forecast period. Deep learning technology helps in providing customized solutions to different industries such as healthcare, manufacturing, finance, and others. Furthermore, natural language processing powered by deep learning could transform customer service, sentiment analysis, language translation, and content generation.

The deep learning market is segmented on the basis of component, application, industry vertical, technology, and region. In terms of components, the market is bifurcated into hardware, software, and service. By application, the market is divided into image recognition, signal recognition, data mining, and others. Based on industry vertical, it is divided into security, marketing, automotive, retail & e-commerce, healthcare, manufacturing, law, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The report analyzes the profiles of key players operating in the deep learning market such as Advanced Micro Devices Inc., Amazon Web Services, Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung and Xilinx. These players have adopted various strategies to increase their market penetration and strengthen their position in the deep learning market.

Key Benefits for Stakeholders

The study provides in-depth analysis of the global deep learning market along with the current & future trends to illustrate the imminent investment pockets.
Information about key drivers, restraints, & opportunities and their impact analysis on the global deep learning market size is provided in the report.
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 from 2022 to 2032 is provided to determine the market potential.

Additional benefits you will get with this purchase are:

Quarterly Update and* (only available with a corporate license, on listed price)
5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
Free Upcoming Version on the Purchase of Five and Enterprise User License.
16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
15% Free Customization* (in case the scope or segment of the report does not match your requirements, 20% is equivalent to 3 working days of free work, applicable once)
Free data Pack on the Five and Enterprise User License. (Excel version of the report)
Free Updated report if the report is 6-12 months old or older.
24-hour priority response*
Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline talk to the sales executive to know more)

Investment Opportunities
Market share analysis of players by products/segments
Regulatory Guidelines
Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Key player details (including location, contact details, supplier/vendor network etc. in excel format)
SWOT Analysis

Key Market Segments

By Component

Software
Service
Hardware

By Application

Image recognition
Signal recognition
Data mining
Others

By Industry Vertical

Security
Marketing
Automotive
Retail and E-Commerce
Healthcare
Manufacturing
Law
Others

By Region

North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

Key Market Players:

Amazon Web Services, Inc.
Google LLC
IBM Corporation
Microsoft Corporation
NVIDIA Corporation
Xilinx
Samsung
Advanced Micro Devices Inc.(Xilinx Inc.)
Intel Corporation
Qualcomm Technologies, Inc.

Product Code: A05450

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
3.3. Porter's five forces analysis
- 3.3.1. Moderate-to-high bargaining power of suppliers
- 3.3.2. Moderate-to-high threat of new entrants
- 3.3.3. Low -to-moderate threat of substitutes
- 3.3.4. Moderate-to-high intensity of rivalry
- 3.3.5. Moderate-to-high bargaining power of buyers
3.4. Market dynamics
- 3.4.1. Drivers
  - 3.4.1.1. Decline in hardware cost
  - 3.4.1.2. Increase in data availability and advancements in the hardware
  - 3.4.1.3. Increasing investment in research and development to support deep learning

3.4.2. Restraints
- 3.4.2.1. Increase in complexity in hardware due to complex algorithm used in technology
- 3.4.2.2. Lack of technical expertise & absence of standards and protocols

3.4.3. Opportunities
- 3.4.3.1. Cumulative spending in healthcare and manufacturing industry

3.5. COVID-19 Impact Analysis on the market

CHAPTER 4: DEEP LEARNING MARKET, BY COMPONENT

4.1. Overview
- 4.1.1. Market size and forecast
4.2. Hardware
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
4.3. Software
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
4.4. Service
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country

CHAPTER 5: DEEP LEARNING MARKET, BY APPLICATION

5.1. Overview
- 5.1.1. Market size and forecast
5.2. Image recognition
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
5.3. Signal recognition
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
5.4. Data mining
- 5.4.1. Key market trends, growth factors and opportunities
- 5.4.2. Market size and forecast, by region
- 5.4.3. Market share analysis by country
5.5. Others
- 5.5.1. Key market trends, growth factors and opportunities
- 5.5.2. Market size and forecast, by region
- 5.5.3. Market share analysis by country

CHAPTER 6: DEEP LEARNING MARKET, BY INDUSTRY VERTICAL

6.1. Overview
- 6.1.1. Market size and forecast
6.2. Security
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
6.3. Marketing
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
6.4. Automotive
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
6.5. Retail and E-Commerce
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
6.6. Healthcare
- 6.6.1. Key market trends, growth factors and opportunities
- 6.6.2. Market size and forecast, by region
- 6.6.3. Market share analysis by country
6.7. Manufacturing
- 6.7.1. Key market trends, growth factors and opportunities
- 6.7.2. Market size and forecast, by region
- 6.7.3. Market share analysis by country
6.8. Law
- 6.8.1. Key market trends, growth factors and opportunities
- 6.8.2. Market size and forecast, by region
- 6.8.3. Market share analysis by country
6.9. Others
- 6.9.1. Key market trends, growth factors and opportunities
- 6.9.2. Market size and forecast, by region
- 6.9.3. Market share analysis by country

CHAPTER 7: DEEP LEARNING MARKET, BY REGION

7.1. Overview
- 7.1.1. Market size and forecast By Region
7.2. North America
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by Component
- 7.2.3. Market size and forecast, by Application
- 7.2.4. Market size and forecast, by Industry Vertical
- 7.2.5. Market size and forecast, by country
  - 7.2.5.1. U.S.
  - 7.2.5.1.1. Market size and forecast, by Component
  - 7.2.5.1.2. Market size and forecast, by Application
  - 7.2.5.1.3. Market size and forecast, by Industry Vertical
  - 7.2.5.2. Canada
  - 7.2.5.2.1. Market size and forecast, by Component
  - 7.2.5.2.2. Market size and forecast, by Application
  - 7.2.5.2.3. Market size and forecast, by Industry Vertical
7.3. Europe
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by Component
- 7.3.3. Market size and forecast, by Application
- 7.3.4. Market size and forecast, by Industry Vertical
- 7.3.5. Market size and forecast, by country
  - 7.3.5.1. UK
  - 7.3.5.1.1. Market size and forecast, by Component
  - 7.3.5.1.2. Market size and forecast, by Application
  - 7.3.5.1.3. Market size and forecast, by Industry Vertical
  - 7.3.5.2. Germany
  - 7.3.5.2.1. Market size and forecast, by Component
  - 7.3.5.2.2. Market size and forecast, by Application
  - 7.3.5.2.3. Market size and forecast, by Industry Vertical
  - 7.3.5.3. France
  - 7.3.5.3.1. Market size and forecast, by Component
  - 7.3.5.3.2. Market size and forecast, by Application
  - 7.3.5.3.3. Market size and forecast, by Industry Vertical
  - 7.3.5.4. Italy
  - 7.3.5.4.1. Market size and forecast, by Component
  - 7.3.5.4.2. Market size and forecast, by Application
  - 7.3.5.4.3. Market size and forecast, by Industry Vertical
  - 7.3.5.5. Spain
  - 7.3.5.5.1. Market size and forecast, by Component
  - 7.3.5.5.2. Market size and forecast, by Application
  - 7.3.5.5.3. Market size and forecast, by Industry Vertical
  - 7.3.5.6. Rest of Europe
  - 7.3.5.6.1. Market size and forecast, by Component
  - 7.3.5.6.2. Market size and forecast, by Application
  - 7.3.5.6.3. Market size and forecast, by Industry Vertical
7.4. Asia-Pacific
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by Component
- 7.4.3. Market size and forecast, by Application
- 7.4.4. Market size and forecast, by Industry Vertical
- 7.4.5. Market size and forecast, by country
  - 7.4.5.1. China
  - 7.4.5.1.1. Market size and forecast, by Component
  - 7.4.5.1.2. Market size and forecast, by Application
  - 7.4.5.1.3. Market size and forecast, by Industry Vertical
  - 7.4.5.2. Japan
  - 7.4.5.2.1. Market size and forecast, by Component
  - 7.4.5.2.2. Market size and forecast, by Application
  - 7.4.5.2.3. Market size and forecast, by Industry Vertical
  - 7.4.5.3. India
  - 7.4.5.3.1. Market size and forecast, by Component
  - 7.4.5.3.2. Market size and forecast, by Application
  - 7.4.5.3.3. Market size and forecast, by Industry Vertical
  - 7.4.5.4. Australia
  - 7.4.5.4.1. Market size and forecast, by Component
  - 7.4.5.4.2. Market size and forecast, by Application
  - 7.4.5.4.3. Market size and forecast, by Industry Vertical
  - 7.4.5.5. South Korea
  - 7.4.5.5.1. Market size and forecast, by Component
  - 7.4.5.5.2. Market size and forecast, by Application
  - 7.4.5.5.3. Market size and forecast, by Industry Vertical
  - 7.4.5.6. Rest of Asia-Pacific
  - 7.4.5.6.1. Market size and forecast, by Component
  - 7.4.5.6.2. Market size and forecast, by Application
  - 7.4.5.6.3. Market size and forecast, by Industry Vertical
7.5. LAMEA
- 7.5.1. Key market trends, growth factors and opportunities
- 7.5.2. Market size and forecast, by Component
- 7.5.3. Market size and forecast, by Application
- 7.5.4. Market size and forecast, by Industry Vertical
- 7.5.5. Market size and forecast, by country
  - 7.5.5.1. Latin America
  - 7.5.5.1.1. Market size and forecast, by Component
  - 7.5.5.1.2. Market size and forecast, by Application
  - 7.5.5.1.3. Market size and forecast, by Industry Vertical
  - 7.5.5.2. Middle East
  - 7.5.5.2.1. Market size and forecast, by Component
  - 7.5.5.2.2. Market size and forecast, by Application
  - 7.5.5.2.3. Market size and forecast, by Industry Vertical
  - 7.5.5.3. Africa
  - 7.5.5.3.1. Market size and forecast, by Component
  - 7.5.5.3.2. Market size and forecast, by Application
  - 7.5.5.3.3. Market size and forecast, by Industry Vertical

CHAPTER 8: COMPETITIVE LANDSCAPE

8.1. Introduction
8.2. Top winning strategies
8.3. Product Mapping of Top 10 Player
8.4. Competitive Dashboard
8.5. Competitive Heatmap
8.6. Top player positioning, 2022

CHAPTER 9: COMPANY PROFILES

9.1. Advanced Micro Devices Inc.(Xilinx Inc.)
- 9.1.1. Company overview
- 9.1.2. Key Executives
- 9.1.3. Company snapshot
- 9.1.4. Operating business segments
- 9.1.5. Product portfolio
- 9.1.6. Business performance
- 9.1.7. Key strategic moves and developments
9.2. Amazon Web Services, Inc.
- 9.2.1. Company overview
- 9.2.2. Key Executives
- 9.2.3. Company snapshot
- 9.2.4. Operating business segments
- 9.2.5. Product portfolio
- 9.2.6. Business performance
- 9.2.7. Key strategic moves and developments
9.3. Google LLC
- 9.3.1. Company overview
- 9.3.2. Key Executives
- 9.3.3. Company snapshot
- 9.3.4. Operating business segments
- 9.3.5. Product portfolio
- 9.3.6. Business performance
- 9.3.7. Key strategic moves and developments
9.4. IBM Corporation
- 9.4.1. Company overview
- 9.4.2. Key Executives
- 9.4.3. Company snapshot
- 9.4.4. Operating business segments
- 9.4.5. Product portfolio
- 9.4.6. Business performance
- 9.4.7. Key strategic moves and developments
9.5. Intel Corporation
- 9.5.1. Company overview
- 9.5.2. Key Executives
- 9.5.3. Company snapshot
- 9.5.4. Operating business segments
- 9.5.5. Product portfolio
- 9.5.6. Business performance
- 9.5.7. Key strategic moves and developments
9.6. Microsoft Corporation
- 9.6.1. Company overview
- 9.6.2. Key Executives
- 9.6.3. Company snapshot
- 9.6.4. Operating business segments
- 9.6.5. Product portfolio
- 9.6.6. Business performance
- 9.6.7. Key strategic moves and developments
9.7. NVIDIA Corporation
- 9.7.1. Company overview
- 9.7.2. Key Executives
- 9.7.3. Company snapshot
- 9.7.4. Operating business segments
- 9.7.5. Product portfolio
- 9.7.6. Business performance
- 9.7.7. Key strategic moves and developments
9.8. Qualcomm Technologies, Inc.
- 9.8.1. Company overview
- 9.8.2. Key Executives
- 9.8.3. Company snapshot
- 9.8.4. Operating business segments
- 9.8.5. Product portfolio
- 9.8.6. Business performance
- 9.8.7. Key strategic moves and developments
9.9. Samsung
- 9.9.1. Company overview
- 9.9.2. Key Executives
- 9.9.3. Company snapshot
- 9.9.4. Operating business segments
- 9.9.5. Product portfolio
- 9.9.6. Business performance
- 9.9.7. Key strategic moves and developments
9.10. Xilinx
- 9.10.1. Company overview
- 9.10.2. Key Executives
- 9.10.3. Company snapshot
- 9.10.4. Operating business segments
- 9.10.5. Product portfolio
- 9.10.6. Business performance
- 9.10.7. Key strategic moves and developments