CHAPTER 1. Industry Overview of Deep Learning Market
1.1. Definition and Scope
1.1.1. Definition of Deep Learning
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Deep Learning Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Deep Learning Market By Component
1.2.3. Deep Learning Market By Application
1.2.4. Deep Learning Market By End-User
1.2.5. Deep Learning Market By Region
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Source
2.2.1. Secondary Sources
2.2.2. Primary Sources
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restraint 1
3.2.2. Restraint 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Deep Learning Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Deep Learning Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Regulatory Compliance
3.9. Competitive Landscape, 2021
3.9.1. Player Positioning Analysis
3.9.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Deep Learning Market By Component
4.1. Introduction
4.2. Deep Learning Revenue By Component
4.2.1. Deep Learning Revenue (USD Million) and Forecast, By Component, 2018-2030
4.2.2. Hardware
4.2.2.1. Hardware Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.2. Processor
4.2.2.2.1. Processor Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.2.2. GPU
4.2.2.2.2.1. GPU Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.2.3. FPGA
4.2.2.2.3.1. FPGA Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.2.4. CPU
4.2.2.2.4.1. CPU Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.3. Memory
4.2.2.3.1. Memory Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.2.4. Network
4.2.2.4.1. Network Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.3. Software
4.2.3.1. Software Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.3.2. Solution (Software Framework/SDK)
4.2.3.2.1. Solution (Software Framework/SDK) Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.3.3. Platform/API
4.2.3.3.1. Platform/API Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.4. Services
4.2.4.1. Services Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.4.2. Installation
4.2.4.2.1. Installation Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.4.3. Training
4.2.4.3.1. Training Market Revenue (USD Million) and Growth Rate (%), 2018-2030
4.2.4.4. Support & Maintenance
4.2.4.4.1. Support & Maintenance Market Revenue (USD Million) and Growth Rate (%), 2018-2030
CHAPTER 5. Deep Learning Market By End-User
5.1. Introduction
5.2. Deep Learning Revenue By End-User
5.2.1. Deep Learning Revenue (USD Million) and Forecast, By End-User, 2018-2030
5.2.2. Healthcare
5.2.2.1. Healthcare Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.3. Manufacturing
5.2.3.1. Manufacturing Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.4. Automotive
5.2.4.1. Automotive Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.5. Agriculture
5.2.5.1. Agriculture Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.6. Retail
5.2.6.1. Retail Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.7. Security
5.2.7.1. Security Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.8. Human Resources
5.2.8.1. Human Resources Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.9. Marketing
5.2.9.1. Marketing Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.10. Law
5.2.10.1. Law Market Revenue (USD Million) and Growth Rate (%), 2018-2030
5.2.11. Fintech
5.2.11.1. Fintech Market Revenue (USD Million) and Growth Rate (%), 2018-2030
CHAPTER 6. North America Deep Learning Market By Country
6.1. North America Deep Learning Market Overview
6.2. U.S.
6.2.1. U.S. Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
6.2.2. U.S. Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
6.2.3. U.S. Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
6.3. Canada
6.3.1. Canada Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
6.3.2. Canada Deep Learning Revenue (USD Million) and Forecast By Applicaton, 2018-2030
6.3.3. Canada Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
6.4. North America PEST Analysis
CHAPTER 7. Europe Deep Learning Market By Country
7.1. Europe Deep Learning Market Overview
7.2. U.K.
7.2.1. U.K. Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
7.2.2. U.K. Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
7.2.3. U.K. Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
7.3. Germany
7.3.1. Germany Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
7.3.2. Germany Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
7.3.3. Germany Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
7.4. France
7.4.1. France Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
7.4.2. France Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
7.4.3. France Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
7.5. Spain
7.5.1. Spain Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
7.5.2. Spain Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
7.5.3. Spain Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
7.6. Rest of Europe
7.6.1. Rest of Europe Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
7.6.2. Rest of Europe Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
7.6.3. Rest of Europe Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
7.7. Europe PEST Analysis
CHAPTER 8. Asia Pacific Deep Learning Market By Country
8.1. Asia Pacific Deep Learning Market Overview
8.2. China
8.2.1. China Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.2.2. China Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.2.3. China Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.3. Japan
8.3.1. Japan Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.3.2. Japan Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.3.3. Japan Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.4. India
8.4.1. India Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.4.2. India Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.4.3. India Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.5. Australia
8.5.1. Australia Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.5.2. Australia Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.5.3. Australia Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.6. South Korea
8.6.1. South Korea Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.6.2. South Korea Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.6.3. South Korea Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.7. Rest of Asia-Pacific
8.7.1. Rest of Asia-Pacific Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
8.7.2. Rest of Asia-Pacific Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
8.7.3. Rest of Asia-Pacific Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
8.8. Asia Pacific PEST Analysis
CHAPTER 9. Latin America Deep Learning Market By Country
9.1. Latin America Deep Learning Market Overview
9.2. Brazil
9.2.1. Brazil Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
9.2.2. Brazil Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
9.2.3. Brazil Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
9.3. Mexico
9.3.1. Mexico Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
9.3.2. Mexico Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
9.3.3. Mexico Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
9.4. Rest of Latin America
9.4.1. Rest of Latin America Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
9.4.2. Rest of Latin America Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
9.4.3. Rest of Latin America Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
9.5. Latin America PEST Analysis
CHAPTER 10. Middle East & Africa Deep Learning Market By Country
10.1. Middle East & Africa Deep Learning Market Overview
10.2. GCC
10.2.1. GCC Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
10.2.2. GCC Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
10.2.3. GCC Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
10.3. South Africa
10.3.1. South Africa Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
10.3.2. South Africa Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
10.3.3. South Africa Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
10.4. Rest of Middle East & Africa
10.4.1. Rest of Middle East & Africa Deep Learning Revenue (USD Million) and Forecast By Component, 2018-2030
10.4.2. Rest of Middle East & Africa Deep Learning Revenue (USD Million) and Forecast By Application, 2018-2030
10.4.3. Rest of Middle East & Africa Deep Learning Revenue (USD Million) and Forecast By End-User, 2018-2030
10.5. Middle East & Africa PEST Analysis
CHAPTER 11. Player Analysis Of Deep Learning Market
11.1. Deep Learning Market Company Share Analysis
11.2. Competition Matrix
11.2.1. Competitive Benchmarking of key players by price, presence, market share, and R&D investment
11.2.2. New Product Launches and Product Enhancements
11.2.3. Mergers And Acquisition In Global Deep Learning Market
11.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 12. Company Profile
12.1. Amazon Web Services (AWS)
12.1.1. Company Snapshot
12.1.2. Business Overview
12.1.3. Financial Overview
12.1.3.1. Revenue (USD Million), 2021
12.1.3.2. Amazon Web Services (AWS) 2021 Deep Learning Business Regional Distribution
12.1.4. Product /Service and Specification
12.1.5. Recent Developments & Business Strategy
12.2. Google
12.3. IBM
12.4. Intel
12.5. Micron Technology
12.6. Microsoft
12.7. Nvidia
12.8. Qualcomm
12.9. Samsung Electronics
12.10. Sensory Inc.
12.11. Skymind
12.12. Xilinx
12.13. AMD
12.14. General Vision
12.15. Graphcore
12.16. Mellanox Technologies
12.17. Huawei Technologies
12.18. Fujitsu
12.19. Baidu
12.20. Mythic
12.21. Adapteva, Inc.
12.22. Koniku
The market size of Deep Learning market in 2021 was accounted to be USD 10.3 Billion.
The projected CAGR of deep learning market during the analysis period of 2022 to 2030 is 51.1%.
The prominent players of the global deep learning market are Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Inc., and Koniku.
North America held the dominating deep learning during the analysis period of 2022 to 2030.
Asia-Pacific region exhibited fastest growing CAGR for deep learning during the analysis period of 2022 to 2030.
Improving computing power, growing adoption of cloud-based technology, and increasing application in big data analytics drives the growth of global deep learning market.
Based on component, software segment is expected to hold the maximum share deep learning market.
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