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Deep Learning Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032

Publisher Fortune Business Insights Pvt. Ltd.
Published Jun 01, 2024
Length 140 Pages
SKU # FOB18838705

Description

Deep Learning Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032



Growth Factors of Deep Learning Market

The deep learning market size was valued at USD 17.60 billion in 2023, and the market is now projected to grow from USD 24.53 billion in 2024 to USD 298.38 billion by 2032, exhibiting a CAGR of 36.7% during the forecast period of 2024-2032.

During the COVID-19 pandemic, call for deep learning notably accelerated because of growing hobby in digital voice assistance amongst younger generations and increasing awareness on virtual reality and augmented fact technologies with the aid of key carriers globally.

Automobile manufacturers together with Tesla, Journey, and AutoX are leveraging machine getting to know, Big Data analytics, and AI to higher meet consumer demands. Additionally, technology which includes professional structures, database management systems, AI, and IoT have significantly streamlined industrial duties.

The fast development in AI-primarily based photograph era and textual content-based simulation is considerably boosting the DL market. AI algorithms, specially generative fashions which includes GANs, have finished outstanding fulfillment in growing sensible photos, films, and audio, putting high standards for design, amusement, and advertising and marketing. These advancements have superior content material exceptional and production velocity, decreasing the resources and time needed for innovative tasks.

Comprehensive Analysis of Deep Learning Market

The deep learning market growth is rising at an exponential rate due to its market segmentation. This marketplace enlargement successfully affords an in-depth local exam thinking about the dominant deliver and demand forces that effect the enterprise. These segmentations are methodically segregated by component analysis, by application analysis, by industry analysis. By component analysis include, hardware and software. By application analysis include, image recognition, signal recognition, data mining, video surveillance & diagnostics, and others (machine translation, drug discovery). By industry analysis include BFSI, automotive, healthcare, aerospace and defense, retail & e-commerce, media and entertainment, and others (manufacturing).

The North America region lead the deep learning market share by benefitting a market size of USD 6.66 billion in 2023 due to availability of an established IT infrastructure and huge investments in emerging technologies.

The pinnacle players inside the market play a critical function in the enterprise assuring market growth and placing marketplace requirements. Key U.S. companies in deep learning include Advanced Micro Devices, Clarifai, NVIDIA, Google, IBM, Intel, Microsoft, Amazon Web Services, SAS Institute, and Meta Platforms (Facebook). These market players provide a level-playing competitive landscape.

In February 2024, Cognitiv launched a pioneering deep learning advertising platform, achieving a 7.5X client base increase in 2023, highlighting the effectiveness of its AI-driven ad solutions.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019–2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024–2032

Historical Period 2019–2022

Growth Rate CAGR of 36.7% from 2024 to 2032

Unit Value (USD billion)

Segmentation By Component

Hardware

Central Processing Unit (CPU)

Graphics Processing Unit (GPU)

Field Programmable Gate Array (FPGA)

Application-Specific Integration Circuit (ASIC)

Software

By Application

Image Recognition

Signal Recognition

Data Mining

Video Surveillance & Diagnostics

Others (Machine Translation, Drug Discovery)

By Industry

BFSI

Automotive

Healthcare

Aerospace and Defense

Retail & E-commerce

Media and Entertainment

Others (Manufacturing)

By Region

North America (By Component, By Application, By Industry, and By Country)

U.S. (By Industry)

Canada (By Industry)

Mexico (By Industry)

South America (By Component, By Application, By Industry, and By Country)

Brazil (By Industry)

Argentina (By Industry)

Rest of South America

Europe (By Component, By Application, By Industry, and By Country)

U.K. (By Industry)

Germany (By Industry)

France (By Industry)

Italy (By Industry)

Spain (By Industry)

Russia (By Industry)

Benelux (By Industry)

Nordics (By Industry)

Rest of Europe

Middle East & Africa (By Component, By Application, By Industry, and By Country)

Turkey (By Industry)

Israel (By Industry)

GCC (By Industry)

North Africa (By Industry)

South Africa (By Industry)

Rest of Middle East & Africa

Asia Pacific (By Component, By Application, By Industry, and By Country)

China (By Industry)

India (By Industry)

Japan (By Industry)

South Korea (By Industry)

ASEAN (By Industry)

Oceania (By Industry)

Rest of Asia Pacific


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Table of Contents

140 Pages
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Deep Learning Key Players Market Share/Ranking, 2023
5. Global Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Hardware
5.2.1.1. Central Processing Unit (CPU)
5.2.1.2. Graphics Processing Unit (GPU)
5.2.1.3. Field Programmable Gate Array (FPGA)
5.2.1.4. Application-Specific Integration Circuit (ASIC)
5.2.2. Software
5.3. By Application (USD)
5.3.1. Image Recognition
5.3.2. Signal Recognition
5.3.3. Data Mining
5.3.4. Video Surveillance & Diagnostics
5.3.5. Others (Machine Translation, Drug Discovery, etc.)
5.4. By Industry (USD)
5.4.1. BFSI
5.4.2. Automotive
5.4.3. Healthcare
5.4.4. Aerospace and Defense
5.4.5. Retail & E-commerce
5.4.6. Media and Entertainment
5.4.7. Others (Manufacturing, etc.)
5.5. By Region (USD)
5.5.1. North America
5.5.2. South America
5.5.3. Europe
5.5.4. Middle East & Africa
5.5.5. Asia Pacific
6. North America Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Hardware
6.2.1.1. Central Processing Unit (CPU)
6.2.1.2. Graphics Processing Unit (GPU)
6.2.1.3. Field Programmable Gate Array (FPGA)
6.2.1.4. Application-Specific Integration Circuit (ASIC)
6.2.2. Software
6.3. By Application (USD)
6.3.1. Image Recognition
6.3.2. Signal Recognition
6.3.3. Data Mining
6.3.4. Video Surveillance & Diagnostics
6.3.5. Others (Machine Translation, Drug Discovery, etc.)
6.4. By Industry (USD)
6.4.1. BFSI
6.4.2. Automotive
6.4.3. Healthcare
6.4.4. Aerospace and Defense
6.4.5. Retail & E-commerce
6.4.6. Media and Entertainment
6.4.7. Others (Manufacturing, etc.)
6.5. By Country (USD)
6.5.1. United States
6.5.1.1. By Industry
6.5.2. Canada
6.5.2.1. By Industry
6.5.3. Mexico
6.5.3.1. By Industry
7. South America Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Hardware
7.2.1.1. Central Processing Unit (CPU)
7.2.1.2. Graphics Processing Unit (GPU)
7.2.1.3. Field Programmable Gate Array (FPGA)
7.2.1.4. Application-Specific Integration Circuit (ASIC)
7.2.2. Software
7.3. By Application (USD)
7.3.1. Image Recognition
7.3.2. Signal Recognition
7.3.3. Data Mining
7.3.4. Video Surveillance & Diagnostics
7.3.5. Others (Machine Translation, Drug Discovery, etc.)
7.4. By Industry (USD)
7.4.1. BFSI
7.4.2. Automotive
7.4.3. Healthcare
7.4.4. Aerospace and Defense
7.4.5. Retail & E-commerce
7.4.6. Media and Entertainment
7.4.7. Others (Manufacturing, etc.)
7.5. By Country (USD)
7.5.1. Brazil
7.5.1.1. By Industry
7.5.2. Argentina
7.5.2.1. By Industry
7.5.3. Rest of South America
8. Europe Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Hardware
8.2.1.1. Central Processing Unit (CPU)
8.2.1.2. Graphics Processing Unit (GPU)
8.2.1.3. Field Programmable Gate Array (FPGA)
8.2.1.4. Application-Specific Integration Circuit (ASIC)
8.2.2. Software
8.3. By Application (USD)
8.3.1. Image Recognition
8.3.2. Signal Recognition
8.3.3. Data Mining
8.3.4. Video Surveillance & Diagnostics
8.3.5. Others (Machine Translation, Drug Discovery, etc.)
8.4. By Industry (USD)
8.4.1. BFSI
8.4.2. Automotive
8.4.3. Healthcare
8.4.4. Aerospace and Defense
8.4.5. Retail & E-commerce
8.4.6. Media and Entertainment
8.4.7. Others (Manufacturing, etc.)
8.5. By Country (USD)
8.5.1. United Kingdom
8.5.1.1. By Industry
8.5.2. Germany
8.5.2.1. By Industry
8.5.3. France
8.5.3.1. By Industry
8.5.4. Italy
8.5.4.1. By Industry
8.5.5. Spain
8.5.5.1. By Industry
8.5.6. Russia
8.5.6.1. By Industry
8.5.7. Benelux
8.5.7.1. By Industry
8.5.8. Nordics
8.5.8.1. By Industry
8.5.9. Rest of Europe
9. Middle East & Africa Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Hardware
9.2.1.1. Central Processing Unit (CPU)
9.2.1.2. Graphics Processing Unit (GPU)
9.2.1.3. Field Programmable Gate Array (FPGA)
9.2.1.4. Application-Specific Integration Circuit (ASIC)
9.2.2. Software
9.3. By Application (USD)
9.3.1. Image Recognition
9.3.2. Signal Recognition
9.3.3. Data Mining
9.3.4. Video Surveillance & Diagnostics
9.3.5. Others (Machine Translation, Drug Discovery, etc.)
9.4. By Industry (USD)
9.4.1. BFSI
9.4.2. Automotive
9.4.3. Healthcare
9.4.4. Aerospace and Defense
9.4.5. Retail & E-commerce
9.4.6. Media and Entertainment
9.4.7. Others (Manufacturing, etc.)
9.5. By Country (USD)
9.5.1. Turkey
9.5.1.1. By Industry
9.5.2. Israel
9.5.2.1. By Industry
9.5.3. GCC
9.5.3.1. By Industry
9.5.4. North Africa
9.5.4.1. By Industry
9.5.5. South Africa
9.5.5.1. By Industry
9.5.6. Rest of MEA
10. Asia Pacific Deep Learning Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Hardware
10.2.1.1. Central Processing Unit (CPU)
10.2.1.2. Graphics Processing Unit (GPU)
10.2.1.3. Field Programmable Gate Array (FPGA)
10.2.1.4. Application-Specific Integration Circuit (ASIC)
10.2.2. Software
10.3. By Application (USD)
10.3.1. Image Recognition
10.3.2. Signal Recognition
10.3.3. Data Mining
10.3.4. Video Surveillance & Diagnostics
10.3.5. Others (Machine Translation, Drug Discovery, etc.)
10.4. By Industry (USD)
10.4.1. BFSI
10.4.2. Automotive
10.4.3. Healthcare
10.4.4. Aerospace and Defense
10.4.5. Retail & E-commerce
10.4.6. Media and Entertainment
10.4.7. Others (Manufacturing, etc.)
10.5. By Country (USD)
10.5.1. China
10.5.1.1. By Industry
10.5.2. India
10.5.2.1. By Industry
10.5.3. Japan
10.5.3.1. By Industry
10.5.4. South Korea
10.5.4.1. By Industry
10.5.5. ASEAN
10.5.5.1. By Industry
10.5.6. Oceania
10.5.6.1. By Industry
10.5.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. Advanced Micro Devices, Inc.
11.1.1. Overview
11.1.1.1. Key Management
11.1.1.2. Headquarters
11.1.1.3. Offerings/Business Segments
11.1.2. Key Details (Key details are consolidated data and not product/service specific)
11.1.2.1. Employee Size
11.1.2.2. Past and Current Revenue
11.1.2.3. Geographical Share
11.1.2.4. Business Segment Share
11.1.2.5. Recent Developments
11.2. Clarifai, Inc.
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Past and Current Revenue
11.2.2.3. Geographical Share
11.2.2.4. Business Segment Share
11.2.2.5. Recent Developments
11.3. NVIDIA Corporation
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Past and Current Revenue
11.3.2.3. Geographical Share
11.3.2.4. Business Segment Share
11.3.2.5. Recent Developments
11.4. Google Inc.
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Past and Current Revenue
11.4.2.3. Geographical Share
11.4.2.4. Business Segment Share
11.4.2.5. Recent Developments
11.5. IBM Corporation
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.5.2. Key Details (Key details are consolidated data and not product/service specific)
11.5.2.1. Employee Size
11.5.2.2. Past and Current Revenue
11.5.2.3. Geographical Share
11.5.2.4. Business Segment Share
11.5.2.5. Recent Developments
11.6. Intel Corporation
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Employee Size
11.6.2.2. Past and Current Revenue
11.6.2.3. Geographical Share
11.6.2.4. Business Segment Share
11.6.2.5. Recent Developments
11.7. Microsoft Corporation
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Past and Current Revenue
11.7.2.3. Geographical Share
11.7.2.4. Business Segment Share
11.7.2.5. Recent Developments
11.8. Amazon Web Services
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Employee Size
11.8.2.2. Past and Current Revenue
11.8.2.3. Geographical Share
11.8.2.4. Business Segment Share
11.8.2.5. Recent Developments
11.9. SAS Institute Inc.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Past and Current Revenue
11.9.2.3. Geographical Share
11.9.2.4. Business Segment Share
11.9.2.5. Recent Developments
11.10. Meta Platforms, Inc. (Facebook)
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Past and Current Revenue
11.10.2.3. Geographical Share
11.10.2.4. Business Segment Share
11.10.2.5. Recent Developments

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