Industry: Service & Software
Published Date: 2024-04-26
Pages: 125 Pages
Report ld: 3081361
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Deep Learning Market Size(US$)

CAGR 2024-2030
23.6%
Market Size,2030
USD 11,910
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
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.
Market Analysis and Insights: Global Deep Learning Market
The global Deep Learning market is projected to grow from US$ 3334.4 million in 2024 to US$ 11910 million by 2030, at a Compound Annual Growth Rate (CAGR) of 23.6% during the forecast period.
The US & Canada market for Deep Learning is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The China market for Deep Learning is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The Europe market for Deep Learning is estimated to increase from $ million in 2024 to reach $ million by 2030, at a CAGR of % during the forecast period of 2025 through 2030.
The global key companies of Deep Learning include Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm and Samsung, etc. In 2023, the global top five players had a share approximately % in terms of revenue.
Deep Learning is widely used in various fields, such as Healthcare, Manufacturing, Automotive and Agriculture, etc. Healthcare provides greatest supports to the Deep Learning industry development. In 2023, global % revenue of Deep Learning went into Healthcare filed and the proportion will reach to % in 2030.
Report Covers:
This report presents an overview of global market for Deep Learning market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Deep Learning, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Deep Learning, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Deep Learning revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Deep Learning market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Deep Learning revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm and Samsung, etc.
MARKET SEGMENTATION
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Deep Learning Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Healthcare
1.3.3 Manufacturing
1.3.4 Automotive
1.3.5 Agriculture
1.3.6 Retail
1.3.7 Security
1.3.8 Human Resources
1.3.9 Marketing
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning Market Perspective (2019-2030)
2.2 Global Deep Learning Growth Trends by Region
2.2.1 Deep Learning Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning Historic Market Size by Region (2019-2024)
2.2.3 Deep Learning Forecasted Market Size by Region (2025-2030)
2.3 Deep Learning Market Dynamics
2.3.1 Deep Learning Industry Trends
2.3.2 Deep Learning Market Drivers
2.3.3 Deep Learning Market Challenges
2.3.4 Deep Learning Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Deep Learning by Players
3.1.1 Global Deep Learning Revenue by Players (2019-2024)
3.1.2 Global Deep Learning Revenue Market Share by Players (2019-2024)
3.2 Global Deep Learning Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Deep Learning, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Deep Learning Market Concentration Ratio
3.4.1 Global Deep Learning Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning Revenue in 2023
3.5 Global Key Players of Deep Learning Head office and Area Served
3.6 Global Key Players of Deep Learning, Product and Application
3.7 Global Key Players of Deep Learning, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning Breakdown Data by Type
4.1 Global Deep Learning Historic Market Size by Type (2019-2024)
4.2 Global Deep Learning Forecasted Market Size by Type (2025-2030)
5 Deep Learning Breakdown Data by Application
5.1 Global Deep Learning Historic Market Size by Application (2019-2024)
5.2 Global Deep Learning Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning Market Size (2019-2030)
6.2 North America Deep Learning Market Size by Type
6.2.1 North America Deep Learning Market Size by Type (2019-2024)
6.2.2 North America Deep Learning Market Size by Type (2025-2030)
6.2.3 North America Deep Learning Market Share by Type (2019-2030)
6.3 North America Deep Learning Market Size by Application
6.3.1 North America Deep Learning Market Size by Application (2019-2024)
6.3.2 North America Deep Learning Market Size by Application (2025-2030)
6.3.3 North America Deep Learning Market Share by Application (2019-2030)
6.4 North America Deep Learning Market Size by Country
6.4.1 North America Deep Learning Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Deep Learning Market Size by Country (2019-2024)
6.4.3 North America Deep Learning Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Deep Learning Market Size (2019-2030)
7.2 Europe Deep Learning Market Size by Type
7.2.1 Europe Deep Learning Market Size by Type (2019-2024)
7.2.2 Europe Deep Learning Market Size by Type (2025-2030)
7.2.3 Europe Deep Learning Market Share by Type (2019-2030)
7.3 Europe Deep Learning Market Size by Application
7.3.1 Europe Deep Learning Market Size by Application (2019-2024)
7.3.2 Europe Deep Learning Market Size by Application (2025-2030)
7.3.3 Europe Deep Learning Market Share by Application (2019-2030)
7.4 Europe Deep Learning Market Size by Country
7.4.1 Europe Deep Learning Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Deep Learning Market Size by Country (2019-2024)
7.4.3 Europe Deep Learning Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Deep Learning Market Size (2019-2030)
8.2 China Deep Learning Market Size by Type
8.2.1 China Deep Learning Market Size by Type (2019-2024)
8.2.2 China Deep Learning Market Size by Type (2025-2030)
8.2.3 China Deep Learning Market Share by Type (2019-2030)
8.3 China Deep Learning Market Size by Application
8.3.1 China Deep Learning Market Size by Application (2019-2024)
8.3.2 China Deep Learning Market Size by Application (2025-2030)
8.3.3 China Deep Learning Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Deep Learning Market Size (2019-2030)
9.2 Asia Deep Learning Market Size by Type
9.2.1 Asia Deep Learning Market Size by Type (2019-2024)
9.2.2 Asia Deep Learning Market Size by Type (2025-2030)
9.2.3 Asia Deep Learning Market Share by Type (2019-2030)
9.3 Asia Deep Learning Market Size by Application
9.3.1 Asia Deep Learning Market Size by Application (2019-2024)
9.3.2 Asia Deep Learning Market Size by Application (2025-2030)
9.3.3 Asia Deep Learning Market Share by Application (2019-2030)
9.4 Asia Deep Learning Market Size by Region
9.4.1 Asia Deep Learning Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Deep Learning Market Size by Region (2019-2024)
9.4.3 Asia Deep Learning Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Deep Learning Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Deep Learning Market Size by Type
10.2.1 Middle East, Africa, and Latin America Deep Learning Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Deep Learning Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Deep Learning Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Deep Learning Market Size by Application
10.3.1 Middle East, Africa, and Latin America Deep Learning Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Deep Learning Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Deep Learning Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Deep Learning Market Size by Country
10.4.1 Middle East, Africa, and Latin America Deep Learning Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Deep Learning Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Deep Learning Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Amazon Web Services (AWS)
11.1.1 Amazon Web Services (AWS) Company Details
11.1.2 Amazon Web Services (AWS) Business Overview
11.1.3 Amazon Web Services (AWS) Deep Learning Introduction
11.1.4 Amazon Web Services (AWS) Revenue in Deep Learning Business (2019-2024)
11.1.5 Amazon Web Services (AWS) Recent Developments
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google Deep Learning Introduction
11.2.4 Google Revenue in Deep Learning Business (2019-2024)
11.2.5 Google Recent Developments
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Deep Learning Introduction
11.3.4 IBM Revenue in Deep Learning Business (2019-2024)
11.3.5 IBM Recent Developments
11.4 Intel
11.4.1 Intel Company Details
11.4.2 Intel Business Overview
11.4.3 Intel Deep Learning Introduction
11.4.4 Intel Revenue in Deep Learning Business (2019-2024)
11.4.5 Intel Recent Developments
11.5 Micron Technology
11.5.1 Micron Technology Company Details
11.5.2 Micron Technology Business Overview
11.5.3 Micron Technology Deep Learning Introduction
11.5.4 Micron Technology Revenue in Deep Learning Business (2019-2024)
11.5.5 Micron Technology Recent Developments
11.6 Microsoft
11.6.1 Microsoft Company Details
11.6.2 Microsoft Business Overview
11.6.3 Microsoft Deep Learning Introduction
11.6.4 Microsoft Revenue in Deep Learning Business (2019-2024)
11.6.5 Microsoft Recent Developments
11.7 Nvidia
11.7.1 Nvidia Company Details
11.7.2 Nvidia Business Overview
11.7.3 Nvidia Deep Learning Introduction
11.7.4 Nvidia Revenue in Deep Learning Business (2019-2024)
11.7.5 Nvidia Recent Developments
11.8 Qualcomm
11.8.1 Qualcomm Company Details
11.8.2 Qualcomm Business Overview
11.8.3 Qualcomm Deep Learning Introduction
11.8.4 Qualcomm Revenue in Deep Learning Business (2019-2024)
11.8.5 Qualcomm Recent Developments
11.9 Samsung
11.9.1 Samsung Company Details
11.9.2 Samsung Business Overview
11.9.3 Samsung Deep Learning Introduction
11.9.4 Samsung Revenue in Deep Learning Business (2019-2024)
11.9.5 Samsung Recent Developments
11.10 Sensory Inc.
11.10.1 Sensory Inc. Company Details
11.10.2 Sensory Inc. Business Overview
11.10.3 Sensory Inc. Deep Learning Introduction
11.10.4 Sensory Inc. Revenue in Deep Learning Business (2019-2024)
11.10.5 Sensory Inc. Recent Developments
11.11 Skymind
11.11.1 Skymind Company Details
11.11.2 Skymind Business Overview
11.11.3 Skymind Deep Learning Introduction
11.11.4 Skymind Revenue in Deep Learning Business (2019-2024)
11.11.5 Skymind Recent Developments
11.12 Xilinx
11.12.1 Xilinx Company Details
11.12.2 Xilinx Business Overview
11.12.3 Xilinx Deep Learning Introduction
11.12.4 Xilinx Revenue in Deep Learning Business (2019-2024)
11.12.5 Xilinx Recent Developments
11.13 AMD
11.13.1 AMD Company Details
11.13.2 AMD Business Overview
11.13.3 AMD Deep Learning Introduction
11.13.4 AMD Revenue in Deep Learning Business (2019-2024)
11.13.5 AMD Recent Developments
11.14 General Vision
11.14.1 General Vision Company Details
11.14.2 General Vision Business Overview
11.14.3 General Vision Deep Learning Introduction
11.14.4 General Vision Revenue in Deep Learning Business (2019-2024)
11.14.5 General Vision Recent Developments
11.15 Graphcore
11.15.1 Graphcore Company Details
11.15.2 Graphcore Business Overview
11.15.3 Graphcore Deep Learning Introduction
11.15.4 Graphcore Revenue in Deep Learning Business (2019-2024)
11.15.5 Graphcore Recent Developments
11.16 Mellanox Technologies
11.16.1 Mellanox Technologies Company Details
11.16.2 Mellanox Technologies Business Overview
11.16.3 Mellanox Technologies Deep Learning Introduction
11.16.4 Mellanox Technologies Revenue in Deep Learning Business (2019-2024)
11.16.5 Mellanox Technologies Recent Developments
11.17 Huawei Technologies
11.17.1 Huawei Technologies Company Details
11.17.2 Huawei Technologies Business Overview
11.17.3 Huawei Technologies Deep Learning Introduction
11.17.4 Huawei Technologies Revenue in Deep Learning Business (2019-2024)
11.17.5 Huawei Technologies Recent Developments
11.18 Fujitsu
11.18.1 Fujitsu Company Details
11.18.2 Fujitsu Business Overview
11.18.3 Fujitsu Deep Learning Introduction
11.18.4 Fujitsu Revenue in Deep Learning Business (2019-2024)
11.18.5 Fujitsu Recent Developments
11.19 Baidu
11.19.1 Baidu Company Details
11.19.2 Baidu Business Overview
11.19.3 Baidu Deep Learning Introduction
11.19.4 Baidu Revenue in Deep Learning Business (2019-2024)
11.19.5 Baidu Recent Developments
11.20 Mythic
11.20.1 Mythic Company Details
11.20.2 Mythic Business Overview
11.20.3 Mythic Deep Learning Introduction
11.20.4 Mythic Revenue in Deep Learning Business (2019-2024)
11.20.5 Mythic Recent Developments
11.21 Adapteva
11.21.1 Adapteva Company Details
11.21.2 Adapteva Business Overview
11.21.3 Adapteva Deep Learning Introduction
11.21.4 Adapteva Revenue in Deep Learning Business (2019-2024)
11.21.5 Adapteva Recent Developments
11.22 Koniku
11.22.1 Koniku Company Details
11.22.2 Koniku Business Overview
11.22.3 Koniku Deep Learning Introduction
11.22.4 Koniku Revenue in Deep Learning Business (2019-2024)
11.22.5 Koniku Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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