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Deep Learning-Global Market Insights and Sales Trends 2025

Deep Learning-Global Market Insights and Sales Trends 2025

Publishing Date : Mar, 2025

License Type :
 

Report Code : 1849523

No of Pages : 122

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Synopsis

The deep learning market has been segmented on the basis of offerings, applications, end-user industries, and geographies. In terms of offerings, software holds the largest share of the deep learning market. Also, the market for services is expected to grow at the highest CAGR from 2018 to 2023. The increasing adoption of deep learning software solutions in various applications, such as smartphone assistants, ATMs that read checks, voice and image recognition software on social network, and software that serves up ads on many websites, is driving the growth of machine learning technology in the deep learning market. Most companies that manufacture and develop deep learning systems and related software provide both online and offline support, depending on the application. Several companies provide installation, training, and support pertaining to these systems, along with online assistance and post-maintenance of software and required services.

The global Deep Learning market size is expected to reach US$ 11910 million by 2029, growing at a CAGR of 23.6% from 2023 to 2029. The market is mainly driven by the significant applications of Deep Learning in various end use industries. The expanding demands from the Healthcare, Manufacturing, Automotive and Agriculture, are propelling Deep Learning market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.

Asia Pacific shows high growth potential for Deep Learning market, driven by demand from China, the second largest economy with some signs of stabilising, the Deep Learning market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.

Report Objectives

This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Deep Learning, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.

Key Features of The Study:

This report provides in-depth analysis of the global Deep Learning market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.

This report profiles key players in the global Deep Learning market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Deep Learning sales data, market share and ranking.

This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.

This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.

Key companies of Deep Learning covered in this report include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm and Samsung, etc.

The global Deep Learning market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.

Market Segmentation

Company Profiles:

  • Amazon Web Services (AWS)
  • Google
  • IBM
  • Intel
  • Micron Technology
  • Microsoft
  • Nvidia
  • Qualcomm
  • Samsung
  • Sensory Inc.
  • Skymind
  • Xilinx
  • AMD
  • General Vision
  • Graphcore
  • Mellanox Technologies
  • Huawei Technologies
  • Fujitsu
  • Baidu
  • Mythic
  • Adapteva
  • Koniku

Global Deep Learning market, by region:

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, UK, Italy, etc.)
  • Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
  • South America (Brazil, etc.)
  • Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Deep Learning market, Segment by Type:

  • Hardware
  • Software
  • Services

Global Deep Learning market, by Application

  • Healthcare
  • Manufacturing
  • Automotive
  • Agriculture
  • Retail
  • Security
  • Human Resources
  • Marketing

Core Chapters

Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Deep Learning companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion

Index

1 Market Overview of Deep Learning
1.1 Deep Learning Market Overview
1.1.1 Deep Learning Product Scope
1.1.2 Deep Learning Market Status and Outlook
1.2 Global Deep Learning Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Deep Learning Market Size by Region (2018-2029)
1.4 Global Deep Learning Historic Market Size by Region (2018-2023)
1.5 Global Deep Learning Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Deep Learning Market Size (2018-2029)
1.6.1 North America Deep Learning Market Size (2018-2029)
1.6.2 Europe Deep Learning Market Size (2018-2029)
1.6.3 Asia-Pacific Deep Learning Market Size (2018-2029)
1.6.4 Latin America Deep Learning Market Size (2018-2029)
1.6.5 Middle East & Africa Deep Learning Market Size (2018-2029)
2 Deep Learning Market by Type
2.1 Introduction
2.1.1 Hardware
2.1.2 Software
2.1.3 Services
2.2 Global Deep Learning Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Deep Learning Historic Market Size by Type (2018-2023)
2.2.2 Global Deep Learning Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Deep Learning Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Deep Learning Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Deep Learning Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Deep Learning Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Deep Learning Revenue Breakdown by Type (2018-2029)
3 Deep Learning Market Overview by Application
3.1 Introduction
3.1.1 Healthcare
3.1.2 Manufacturing
3.1.3 Automotive
3.1.4 Agriculture
3.1.5 Retail
3.1.6 Security
3.1.7 Human Resources
3.1.8 Marketing
3.2 Global Deep Learning Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Deep Learning Historic Market Size by Application (2018-2023)
3.2.2 Global Deep Learning Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Deep Learning Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Deep Learning Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Deep Learning Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Deep Learning Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Deep Learning Revenue Breakdown by Application (2018-2029)
4 Deep Learning Competition Analysis by Players
4.1 Global Deep Learning Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Deep Learning as of 2022)
4.3 Date of Key Players Enter into Deep Learning Market
4.4 Global Top Players Deep Learning Headquarters and Area Served
4.5 Key Players Deep Learning Product Solution and Service
4.6 Competitive Status
4.6.1 Deep Learning Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Amazon Web Services (AWS)
5.1.1 Amazon Web Services (AWS) Profile
5.1.2 Amazon Web Services (AWS) Main Business
5.1.3 Amazon Web Services (AWS) Deep Learning Products, Services and Solutions
5.1.4 Amazon Web Services (AWS) Deep Learning Revenue (US$ Million) & (2018-2023)
5.1.5 Amazon Web Services (AWS) Recent Developments
5.2 Google
5.2.1 Google Profile
5.2.2 Google Main Business
5.2.3 Google Deep Learning Products, Services and Solutions
5.2.4 Google Deep Learning Revenue (US$ Million) & (2018-2023)
5.2.5 Google Recent Developments
5.3 IBM
5.3.1 IBM Profile
5.3.2 IBM Main Business
5.3.3 IBM Deep Learning Products, Services and Solutions
5.3.4 IBM Deep Learning Revenue (US$ Million) & (2018-2023)
5.3.5 Intel Recent Developments
5.4 Intel
5.4.1 Intel Profile
5.4.2 Intel Main Business
5.4.3 Intel Deep Learning Products, Services and Solutions
5.4.4 Intel Deep Learning Revenue (US$ Million) & (2018-2023)
5.4.5 Intel Recent Developments
5.5 Micron Technology
5.5.1 Micron Technology Profile
5.5.2 Micron Technology Main Business
5.5.3 Micron Technology Deep Learning Products, Services and Solutions
5.5.4 Micron Technology Deep Learning Revenue (US$ Million) & (2018-2023)
5.5.5 Micron Technology Recent Developments
5.6 Microsoft
5.6.1 Microsoft Profile
5.6.2 Microsoft Main Business
5.6.3 Microsoft Deep Learning Products, Services and Solutions
5.6.4 Microsoft Deep Learning Revenue (US$ Million) & (2018-2023)
5.6.5 Microsoft Recent Developments
5.7 Nvidia
5.7.1 Nvidia Profile
5.7.2 Nvidia Main Business
5.7.3 Nvidia Deep Learning Products, Services and Solutions
5.7.4 Nvidia Deep Learning Revenue (US$ Million) & (2018-2023)
5.7.5 Nvidia Recent Developments
5.8 Qualcomm
5.8.1 Qualcomm Profile
5.8.2 Qualcomm Main Business
5.8.3 Qualcomm Deep Learning Products, Services and Solutions
5.8.4 Qualcomm Deep Learning Revenue (US$ Million) & (2018-2023)
5.8.5 Qualcomm Recent Developments
5.9 Samsung
5.9.1 Samsung Profile
5.9.2 Samsung Main Business
5.9.3 Samsung Deep Learning Products, Services and Solutions
5.9.4 Samsung Deep Learning Revenue (US$ Million) & (2018-2023)
5.9.5 Samsung Recent Developments
5.10 Sensory Inc.
5.10.1 Sensory Inc. Profile
5.10.2 Sensory Inc. Main Business
5.10.3 Sensory Inc. Deep Learning Products, Services and Solutions
5.10.4 Sensory Inc. Deep Learning Revenue (US$ Million) & (2018-2023)
5.10.5 Sensory Inc. Recent Developments
5.11 Skymind
5.11.1 Skymind Profile
5.11.2 Skymind Main Business
5.11.3 Skymind Deep Learning Products, Services and Solutions
5.11.4 Skymind Deep Learning Revenue (US$ Million) & (2018-2023)
5.11.5 Skymind Recent Developments
5.12 Xilinx
5.12.1 Xilinx Profile
5.12.2 Xilinx Main Business
5.12.3 Xilinx Deep Learning Products, Services and Solutions
5.12.4 Xilinx Deep Learning Revenue (US$ Million) & (2018-2023)
5.12.5 Xilinx Recent Developments
5.13 AMD
5.13.1 AMD Profile
5.13.2 AMD Main Business
5.13.3 AMD Deep Learning Products, Services and Solutions
5.13.4 AMD Deep Learning Revenue (US$ Million) & (2018-2023)
5.13.5 AMD Recent Developments
5.14 General Vision
5.14.1 General Vision Profile
5.14.2 General Vision Main Business
5.14.3 General Vision Deep Learning Products, Services and Solutions
5.14.4 General Vision Deep Learning Revenue (US$ Million) & (2018-2023)
5.14.5 General Vision Recent Developments
5.15 Graphcore
5.15.1 Graphcore Profile
5.15.2 Graphcore Main Business
5.15.3 Graphcore Deep Learning Products, Services and Solutions
5.15.4 Graphcore Deep Learning Revenue (US$ Million) & (2018-2023)
5.15.5 Graphcore Recent Developments
5.16 Mellanox Technologies
5.16.1 Mellanox Technologies Profile
5.16.2 Mellanox Technologies Main Business
5.16.3 Mellanox Technologies Deep Learning Products, Services and Solutions
5.16.4 Mellanox Technologies Deep Learning Revenue (US$ Million) & (2018-2023)
5.16.5 Mellanox Technologies Recent Developments
5.17 Huawei Technologies
5.17.1 Huawei Technologies Profile
5.17.2 Huawei Technologies Main Business
5.17.3 Huawei Technologies Deep Learning Products, Services and Solutions
5.17.4 Huawei Technologies Deep Learning Revenue (US$ Million) & (2018-2023)
5.17.5 Huawei Technologies Recent Developments
5.18 Fujitsu
5.18.1 Fujitsu Profile
5.18.2 Fujitsu Main Business
5.18.3 Fujitsu Deep Learning Products, Services and Solutions
5.18.4 Fujitsu Deep Learning Revenue (US$ Million) & (2018-2023)
5.18.5 Fujitsu Recent Developments
5.19 Baidu
5.19.1 Baidu Profile
5.19.2 Baidu Main Business
5.19.3 Baidu Deep Learning Products, Services and Solutions
5.19.4 Baidu Deep Learning Revenue (US$ Million) & (2018-2023)
5.19.5 Baidu Recent Developments
5.20 Mythic
5.20.1 Mythic Profile
5.20.2 Mythic Main Business
5.20.3 Mythic Deep Learning Products, Services and Solutions
5.20.4 Mythic Deep Learning Revenue (US$ Million) & (2018-2023)
5.20.5 Mythic Recent Developments
5.21 Adapteva
5.21.1 Adapteva Profile
5.21.2 Adapteva Main Business
5.21.3 Adapteva Deep Learning Products, Services and Solutions
5.21.4 Adapteva Deep Learning Revenue (US$ Million) & (2018-2023)
5.21.5 Adapteva Recent Developments
5.22 Koniku
5.22.1 Koniku Profile
5.22.2 Koniku Main Business
5.22.3 Koniku Deep Learning Products, Services and Solutions
5.22.4 Koniku Deep Learning Revenue (US$ Million) & (2018-2023)
5.22.5 Koniku Recent Developments
6 North America
6.1 North America Deep Learning Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Deep Learning Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Deep Learning Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Deep Learning Market Dynamics
11.1 Deep Learning Industry Trends
11.2 Deep Learning Market Drivers
11.3 Deep Learning Market Challenges
11.4 Deep Learning Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

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