The deep learning market size was valued US$ 2.5 Bn in 2017 and is expected to reach US$ 21.1 Bn by 2026, at a CAGR of 30.58 % during forecast period 2019 to 2026. Deep learning is a part of machine learning which deals with algorithms similar to the functioning of the neural system in the brain. The language has three major forms of architecture, namely supervised, semi-supervised, and unsupervised. It has been applied in board games, drug design, bioinformatics, and material design.
Major factors that are contributing to the largest market share include parallelization, high computing power, and rapid improvements in fast information storage capacity in healthcare and automotive industries. Increase in need for the small and large enterprises to analyze and understand visual contents is projected to boost the growth of deep learning market. Advanced technology like graphics processing unit is highly accepted by the scientific disciplines like data science and deep learning. Deep learning neural networks are used in the associations to pull out valuable insights from extensive amounts of data to improve customer experience and provide innovative products, this may give enlargement to the market growth. This technology is having importance among the researchers and key players because of improving artificial intelligence capabilities in computer vision areas, natural language processing, and image & speech recognition. Asia Pacific is the most noticeable region for deep learning market and it is growing at a faster rate due to higher spending on cognitive computing technologies and artificial intelligence.
The report analyzes and forecasts the deep learning market at global and regional levels. The market has been forecast based on volume (Tons) and value (US$ Mn) from 2019 to 2026. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.
The report comprises a detailed value chain analysis, which provides a comprehensive view of the global deep learning market. The Porter’s Five Forces model has also been included to help understand the competitive landscape of the market. The study encompasses market attractiveness analysis, wherein various applications have been benchmarked based on their market size, growth rate, and general attractiveness.
The study provides a decisive view of the deep learning market by segmenting it in terms of form and application. The segment has been analyzed based on the present and future trends. Regional segmentation includes the current and projected demand in North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
The report provides size (in terms of volume and value) of deep learning market for the base year 2018 and the forecast between 2019 and 2026. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.
Scope of Report:
Global Deep Learning Market by Component:
• Hardware
• Software
Global Deep Learning Market by Application:
• Speech Recognition
• Image Recognition
• Data Mining
• Drug Discovery
• Driver Assistance
• Others
Global Deep Learning Market by Architecture Industry:
• RNN
• CNN
• DBN
• DSN
• GRU
Global Deep Learning Market by End Use Industry:
• Automotive
• Healthcare
• Media & Entertainment
• BFSI
• Other
Global Deep Learning Market by Geography:
• North America
• Asia Pacific
• Europe
• Latin America
• Middle East and Africa
Key Players Operating Market Include:
• Advanced Micro Devices, Inc.
• Arm Ltd.
• Baidu Inc.
• Clairifai Inc.
• Enlitic
• General Vision Inc.
• Google Inc.
• Hewlett Packard
• IBM Corporation
• Intel Corporation
• Microsoft Corporation
• Nvidia Corporation
• Qualcomm Technologies Inc.
• Sensory Inc.
• Skymind
• Alphabet Inc.
• Micron Technology Inc.
• Amazon Web Services
Reasons to Buy the Report
The report will enrich established firms as well as new entrants/smaller firms to gauge the pulse of the market, which, in turn, would help them garner a greater share of the market. Firms purchasing the report could use one or any combination of the below-mentioned strategies to strengthen their position in the market.
This report provides insights into the following pointers:
Research Methodology:
In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.
Primary research represents a bulk of research efforts, supplemented by extensive secondary research. Annual reports, press releases, and relevant documents of key players operating in various application areas have been reviewed for competition analysis and market understanding.
Secondary research also includes recent trends, technical writing, Internet sources, and statistical data from government websites, trade associations, and agencies. These have proved to be reliable, effective, and successful approaches for obtaining precise market data, capturing market participants’ insights, and recognizing business opportunities.
The study objectives of this report are:
1. Preface
1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives
2. Assumptions and Research Methodology
2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources
3. Executive Summary: Global Deep Learning Market, by Market Value (US$ Bn)
4. Market Overview
4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Global Deep Learning Market Industry Trends and Emerging Technologies
5. Supply Side and Demand Side Indicators
6. Global Deep Learning Market Analysis and Forecast
6.1. Global Deep Learning Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America
7. Global Deep Learning Market Analysis and Forecast, by Component
7.1. Introduction and Definition
7.2. Key Findings
7.3. Global Deep Learning Market Value Share Analysis, by Component
7.4. Global Deep Learning Market Size (US$ Bn) Forecast, by Component
7.5. Global Deep Learning Market Analysis, by Component
7.6. Global Deep Learning Market Attractiveness Analysis, by Component
8. Global Deep Learning Market Analysis and Forecast, by Application
8.1. Introduction and Definition
8.2. Key Findings
8.3. Global Deep Learning Market Value Share Analysis, by Application
8.4. Global Deep Learning Market Size (US$ Bn) Forecast, by Application
8.5. Global Deep Learning Market Analysis, by Application
8.6. Global Deep Learning Market Attractiveness Analysis, by Application
9. Global Deep Learning Market Analysis and Forecast, by Architecture Industry
9.1. Introduction and Definition
9.2. Key Findings
9.3. Global Deep Learning Market Value Share Analysis, by Architecture Industry
9.4. Global Deep Learning Market Size (US$ Bn) Forecast, by Architecture Industry
9.5. Global Deep Learning Market Analysis, by Architecture Industry
9.6. Global Deep Learning Market Attractiveness Analysis, by Architecture Industry
10. Global Deep Learning Market Analysis and Forecast, by End Use Industry
10.1. Introduction and Definition
10.2. Key Findings
10.3. Global Deep Learning Market Value Share Analysis, by End Use Industry
10.4. Global Deep Learning Market Size (US$ Bn) Forecast, by End Use Industry
10.5. Global Deep Learning Market Analysis, by End Use Industry
10.6. Global Deep Learning Market Attractiveness Analysis, by End Use Industry
11. Global Deep Learning Market Analysis, by Region
11.1. Global Deep Learning Market Value Share Analysis, by Region
11.2. Global Deep Learning Market Size (US$ Bn) Forecast, by Region
11.3. Global Deep Learning Market Attractiveness Analysis, by Region
12. North America Deep Learning Market Analysis
12.1. Key Findings
12.2. North America Deep Learning Market Overview
12.3. North America Deep Learning Market Value Share Analysis, by Component
12.4. North America Deep Learning Market Forecast, by Component
12.4.1. Hardware
12.4.2. Software
12.5. North America Deep Learning Market Value Share Analysis, by Application
12.6. North America Deep Learning Market Forecast, by Application
12.6.1. Speech Recognition
12.6.2. Image Recognition
12.6.3. Data Mining
12.6.4. Drug Discovery
12.6.5. Driver Assistance
12.6.6. Others
12.7. North America Deep Learning Market Value Share Analysis, by Architecture Industry
12.8. North America Deep Learning Market Forecast, by Architecture Industry
12.8.1. RNN
12.8.2. CNN
12.8.3. DBN
12.8.4. DSN
12.8.5. GRU
12.9. North America Deep Learning Market Value Share Analysis, by End Use Industry
12.10. North America Deep Learning Market Forecast, by End Use Industry
12.10.1. Healthcare
12.10.2. Automotive
12.10.3. Media & Entertainment
12.10.4. BFSI
12.10.5. Other
12.11. North America Deep Learning Market Value Share Analysis, by Country
12.12. North America Deep Learning Market Forecast, by Country
12.12.1. U.S.
12.12.2. Canada
12.13. North America Deep Learning Market Analysis, by Country
12.14. U.S. Deep Learning Market Forecast, by Component
12.14.1. Hardware
12.14.2. Software
12.15. U.S. Deep Learning Market Forecast, by Application
12.15.1. Speech Recognition
12.15.2. Image Recognition
12.15.3. Data Mining
12.15.4. Drug Discovery
12.15.5. Driver Assistance
12.15.6. Others
12.16. U.S. Deep Learning Market Forecast, by Architecture Industry
12.16.1. RNN
12.16.2. CNN
12.16.3. DBN
12.16.4. DSN
12.16.5. GRU
12.17. U.S. Deep Learning Market Forecast, by End Use Industry
12.17.1. Healthcare
12.17.2. Automotive
12.17.3. Media & Entertainment
12.17.4. BFSI
12.17.5. Other
12.18. Canada Deep Learning Market Forecast, by Component
12.18.1. Hardware
12.18.2. Software
12.19. Canada Deep Learning Market Forecast, by Application
12.19.1. Speech Recognition
12.19.2. Image Recognition
12.19.3. Data Mining
12.19.4. Drug Discovery
12.19.5. Driver Assistance
12.19.6. Others
12.20. Canada Deep Learning Market Forecast, by Architecture Industry
12.20.1. RNN
12.20.2. CNN
12.20.3. DBN
12.20.4. DSN
12.20.5. GRU
12.21. Canada Deep Learning Market Forecast, by End Use Industry
12.21.1. Healthcare
12.21.2. Automotive
12.21.3. Media & Entertainment
12.21.4. BFSI
12.21.5. Other
12.22. North America Deep Learning Market Attractiveness Analysis
12.22.1. By Component
12.22.2. By Application
12.22.3. By Architecture Industry
12.22.4. By End Use Industry
12.23. PEST Analysis
12.24. Key Trends
12.25. Key Development
13. Europe Deep Learning Market Analysis
13.1. Key Findings
13.2. Europe Deep Learning Market Overview
13.3. Europe Deep Learning Market Value Share Analysis, by Component
13.4. Europe Deep Learning Market Forecast, by Component
13.4.1. Hardware
13.4.2. Software
13.5. Europe Deep Learning Market Value Share Analysis, by Application
13.6. Europe Deep Learning Market Forecast, by Application
13.6.1. Speech Recognition
13.6.2. Image Recognition
13.6.3. Data Mining
13.6.4. Drug Discovery
13.6.5. Driver Assistance
13.6.6. Others
13.7. Europe Deep Learning Market Value Share Analysis, by Architecture Industry
13.8. Europe Deep Learning Market Forecast, by Architecture Industry
13.8.1. RNN
13.8.2. CNN
13.8.3. DBN
13.8.4. DSN
13.8.5. GRU
13.9. Europe Deep Learning Market Value Share Analysis, by End Use Industry
13.10. Europe Deep Learning Market Forecast, by End Use Industry
13.10.1. Healthcare
13.10.2. Automotive
13.10.3. Media & Entertainment
13.10.4. BFSI
13.10.5. Other
13.11. Europe Deep Learning Market Value Share Analysis, by Country
13.12. Europe Deep Learning Market Forecast, by Country
13.12.1. Germany
13.12.2. U.K.
13.12.3. France
13.12.4. Italy
13.12.5. Spain
13.12.6. Rest of Europe
13.13. Europe Deep Learning Market Analysis, by Country
13.14. Germany Deep Learning Market Forecast, by Component
13.14.1. Hardware
13.14.2. Software
13.15. Germany Deep Learning Market Forecast, by Application
13.15.1. Speech Recognition
13.15.2. Image Recognition
13.15.3. Data Mining
13.15.4. Drug Discovery
13.15.5. Driver Assistance
13.15.6. Others
13.16. Germany Deep Learning Market Forecast, by Architecture Industry
13.16.1. RNN
13.16.2. CNN
13.16.3. DBN
13.16.4. DSN
13.16.5. GRU
13.17. Germany Deep Learning Market Forecast, by End Use Industry
13.17.1. Healthcare
13.17.2. Automotive
13.17.3. Media & Entertainment
13.17.4. BFSI
13.17.5. Other
13.18. U.K. Deep Learning Market Forecast, by Component
13.18.1. Hardware
13.18.2. Software
13.19. U.K. Deep Learning Market Forecast, by Application
13.19.1. Speech Recognition
13.19.2. Image Recognition
13.19.3. Data Mining
13.19.4. Drug Discovery
13.19.5. Driver Assistance
13.19.6. Others
13.20. U.K. Deep Learning Market Forecast, by Architecture Industry
13.20.1. RNN
13.20.2. CNN
13.20.3. DBN
13.20.4. DSN
13.20.5. GRU
13.21. U.K. Deep Learning Market Forecast, by End Use Industry
13.21.1. Healthcare
13.21.2. Automotive
13.21.3. Media & Entertainment
13.21.4. BFSI
13.21.5. Other
13.22. France Deep Learning Market Forecast, by Component
13.22.1. Hardware
13.22.2. Software
13.23. France Deep Learning Market Forecast, by Application
13.23.1. Speech Recognition
13.23.2. Image Recognition
13.23.3. Data Mining
13.23.4. Drug Discovery
13.23.5. Driver Assistance
13.23.6. Others
13.24. France Deep Learning Market Forecast, by Architecture Industry
13.24.1. RNN
13.24.2. CNN
13.24.3. DBN
13.24.4. DSN
13.24.5. GRU
13.25. France Deep Learning Market Forecast, by End Use Industry
13.25.1. Healthcare
13.25.2. Automotive
13.25.3. Media & Entertainment
13.25.4. BFSI
13.25.5. Other
13.26. Italy Deep Learning Market Forecast, by Component
13.26.1. Hardware
13.26.2. Software
13.27. Italy Deep Learning Market Forecast, by Application
13.27.1. Speech Recognition
13.27.2. Image Recognition
13.27.3. Data Mining
13.27.4. Drug Discovery
13.27.5. Driver Assistance
13.27.6. Others
13.28. Italy Deep Learning Market Forecast, by Architecture Industry
13.28.1. RNN
13.28.2. CNN
13.28.3. DBN
13.28.4. DSN
13.28.5. GRU
13.29. Italy Deep Learning Market Forecast, by End Use Industry
13.29.1. Healthcare
13.29.2. Automotive
13.29.3. Media & Entertainment
13.29.4. BFSI
13.29.5. Other
13.30. Spain Deep Learning Market Forecast, by Component
13.30.1. Hardware
13.30.2. Software
13.31. Spain Deep Learning Market Forecast, by Application
13.31.1. Speech Recognition
13.31.2. Image Recognition
13.31.3. Data Mining
13.31.4. Drug Discovery
13.31.5. Driver Assistance
13.31.6. Others
13.32. Spain Deep Learning Market Forecast, by Architecture Industry
13.32.1. RNN
13.32.2. CNN
13.32.3. DBN
13.32.4. DSN
13.32.5. GRU
13.33. Spain Deep Learning Market Forecast, by End Use Industry
13.33.1. Healthcare
13.33.2. Automotive
13.33.3. Media & Entertainment
13.33.4. BFSI
13.33.5. Other
13.34. Rest of Europe Deep Learning Market Forecast, by Component
13.34.1. Hardware
13.34.2. Software
13.35. Rest of Europe Deep Learning Market Forecast, by Application
13.35.1. Speech Recognition
13.35.2. Image Recognition
13.35.3. Data Mining
13.35.4. Drug Discovery
13.35.5. Driver Assistance
13.35.6. Others
13.36. Rest of Europe Deep Learning Market Forecast, by Architecture Industry
13.36.1. RNN
13.36.2. CNN
13.36.3. DBN
13.36.4. DSN
13.36.5. GRU
13.37. Rest Of Europe Deep Learning Market Forecast, by End Use Industry
13.37.1. Healthcare
13.37.2. Automotive
13.37.3. Media & Entertainment
13.37.4. BFSI
13.37.5. Other
13.38. Europe Deep Learning Market Attractiveness Analysis
13.38.1. By Component
13.38.2. By Application
13.38.3. By Architecture Industry
13.38.4. By End Use Industry
13.39. PEST Analysis
13.40. Key Trends
13.41. Key Development
14. Asia Pacific Deep Learning Market Analysis
14.1. Key Findings
14.2. Asia Pacific Deep Learning Market Overview
14.3. Asia Pacific Deep Learning Market Value Share Analysis, by Component
14.4. Asia Pacific Deep Learning Market Forecast, by Component
14.4.1. Hardware
14.4.2. Software
14.5. Asia Pacific Deep Learning Market Value Share Analysis, by Application
14.6. Asia Pacific Deep Learning Market Forecast, by Application
14.6.1. Speech Recognition
14.6.2. Image Recognition
14.6.3. Data Mining
14.6.4. Drug Discovery
14.6.5. Driver Assistance
14.6.6. Others
14.7. Asia Pacific Deep Learning Market Value Share Analysis, by Architecture Industry
14.8. Asia Pacific Deep Learning Market Forecast, by Architecture Industry
14.8.1. RNN
14.8.2. CNN
14.8.3. DBN
14.8.4. DSN
14.8.5. GRU
14.9. Asia Pacific Deep Learning Market Value Share Analysis, by End Use Industry
14.10. Asia Pacific Deep Learning Market Forecast, by End Use Industry
14.10.1. Healthcare
14.10.2. Automotive
14.10.3. Media & Entertainment
14.10.4. BFSI
14.10.5. Other
14.11. Asia Pacific Deep Learning Market Value Share Analysis, by Country
14.12. Asia Pacific Deep Learning Market Forecast, by Country
14.12.1. China
14.12.2. India
14.12.3. Japan
14.12.4. ASEAN
14.12.5. Rest of Asia Pacific
14.13. Asia Pacific Deep Learning Market Analysis, by Country
14.14. China Deep Learning Market Forecast, by Component
14.14.1. Hardware
14.14.2. Software
14.15. China Deep Learning Market Forecast, by Application
14.15.1. Speech Recognition
14.15.2. Image Recognition
14.15.3. Data Mining
14.15.4. Drug Discovery
14.15.5. Driver Assistance
14.15.6. Others
14.16. China Deep Learning Market Forecast, by Architecture Industry
14.16.1. RNN
14.16.2. CNN
14.16.3. DBN
14.16.4. DSN
14.16.5. GRU
14.17. China Deep Learning Market Forecast, by End Use Industry
14.17.1. Healthcare
14.17.2. Automotive
14.17.3. Media & Entertainment
14.17.4. BFSI
14.17.5. Other
14.18. India Deep Learning Market Forecast, by Component
14.18.1. Hardware
14.18.2. Software
14.19. India Deep Learning Market Forecast, by Application
14.19.1. Speech Recognition
14.19.2. Image Recognition
14.19.3. Data Mining
14.19.4. Drug Discovery
14.19.5. Driver Assistance
14.19.6. Others
14.20. India Deep Learning Market Forecast, by Architecture Industry
14.20.1. RNN
14.20.2. CNN
14.20.3. DBN
14.20.4. DSN
14.20.5. GRU
14.21. India Deep Learning Market Forecast, by End Use Industry
14.21.1. Healthcare
14.21.2. Automotive
14.21.3. Media & Entertainment
14.21.4. BFSI
14.21.5. Other
14.22. Japan Deep Learning Market Forecast, by Component
14.22.1. Hardware
14.22.2. Software
14.23. Japan Deep Learning Market Forecast, by Application
14.23.1. Speech Recognition
14.23.2. Image Recognition
14.23.3. Data Mining
14.23.4. Drug Discovery
14.23.5. Driver Assistance
14.23.6. Others
14.24. Japan Deep Learning Market Forecast, by Architecture Industry
14.24.1. RNN
14.24.2. CNN
14.24.3. DBN
14.24.4. DSN
14.24.5. GRU
14.25. Japan Deep Learning Market Forecast, by End Use Industry
14.25.1. Healthcare
14.25.2. Automotive
14.25.3. Media & Entertainment
14.25.4. BFSI
14.25.5. Other
14.26. ASEAN Deep Learning Market Forecast, by Component
14.26.1. Hardware
14.26.2. Software
14.27. ASEAN Deep Learning Market Forecast, by Application
14.27.1. Speech Recognition
14.27.2. Image Recognition
14.27.3. Data Mining
14.27.4. Drug Discovery
14.27.5. Driver Assistance
14.27.6. Others
14.28. ASEAN Deep Learning Market Forecast, by Architecture Industry
14.28.1. RNN
14.28.2. CNN
14.28.3. DBN
14.28.4. DSN
14.28.5. GRU
14.29. ASEAN Deep Learning Market Forecast, by End Use Industry
14.29.1. Healthcare
14.29.2. Automotive
14.29.3. Media & Entertainment
14.29.4. BFSI
14.29.5. Other
14.30. Rest of Asia Pacific Deep Learning Market Forecast, by Component
14.30.1. Hardware
14.30.2. Software
14.31. Rest of Asia Pacific Deep Learning Market Forecast, by Application
14.31.1. Speech Recognition
14.31.2. Image Recognition
14.31.3. Data Mining
14.31.4. Drug Discovery
14.31.5. Driver Assistance
14.31.6. Others
14.32. Rest of Asia Pacific Deep Learning Market Forecast, by Architecture Industry
14.32.1. RNN
14.32.2. CNN
14.32.3. DBN
14.32.4. DSN
14.32.5. GRU
14.33. Rest of Asia Pacific Deep Learning Market Forecast, by End Use Industry
14.33.1. Healthcare
14.33.2. Automotive
14.33.3. Media & Entertainment
14.33.4. BFSI
14.33.5. Other
14.34. Asia Pacific Deep Learning Market Attractiveness Analysis
14.34.1. By Component
14.34.2. By Application
14.34.3. By Architecture Industry
14.34.4. By End Use Industry
14.35. PEST Analysis
14.36. Key Trends
14.37. Key Development
15. Middle East & Africa Deep Learning Market Analysis
15.1. Key Findings
15.2. Middle East & Africa Deep Learning Market Overview
15.3. Middle East & Africa Deep Learning Market Value Share Analysis, by Component
15.4. Middle East & Africa Deep Learning Market Forecast, by Component
15.4.1. Hardware
15.4.2. Software
15.5. Middle East & Africa Deep Learning Market Value Share Analysis, by Application
15.6. Middle East & Africa Deep Learning Market Forecast, by Application
15.6.1. Speech Recognition
15.6.2. Image Recognition
15.6.3. Data Mining
15.6.4. Drug Discovery
15.6.5. Driver Assistance
15.6.6. Others
15.7. Middle East & Africa Deep Learning Market Value Share Analysis, by Architecture Industry
15.8. Middle East & Africa Deep Learning Market Forecast, by Architecture Industry
15.8.1. RNN
15.8.2. CNN
15.8.3. DBN
15.8.4. DSN
15.8.5. GRU
15.9. Middle East & Africa Deep Learning Market Value Share Analysis, by End Use Industry
15.10. Middle East & Africa Deep Learning Market Forecast, by End Use Industry
15.10.1. Healthcare
15.10.2. Automotive
15.10.3. Media & Entertainment
15.10.4. BFSI
15.10.5. Other
15.11. Middle East & Africa Deep Learning Market Value Share Analysis, by Country
15.12. Middle East & Africa Deep Learning Market Forecast, by Country
15.12.1. GCC
15.12.2. South Africa
15.12.3. Rest of Middle East & Africa
15.13. Middle East & Africa Deep Learning Market Analysis, by Country
15.14. GCC Deep Learning Market Forecast, by Component
15.14.1. Hardware
15.14.2. Software
15.15. GCC Deep Learning Market Forecast, by Application
15.15.1. Speech Recognition
15.15.2. Image Recognition
15.15.3. Data Mining
15.15.4. Drug Discovery
15.15.5. Driver Assistance
15.15.6. Others
15.16. GCC Deep Learning Market Forecast, by Architecture Industry
15.16.1. RNN
15.16.2. CNN
15.16.3. DBN
15.16.4. DSN
15.16.5. GRU
15.17. GCC Deep Learning Market Forecast, by End Use Industry
15.17.1. Healthcare
15.17.2. Automotive
15.17.3. Media & Entertainment
15.17.4. BFSI
15.17.5. Other
15.18. South Africa Deep Learning Market Forecast, by Component
15.18.1. Hardware
15.18.2. Software
15.19. South Africa Deep Learning Market Forecast, by Application
15.19.1. Speech Recognition
15.19.2. Image Recognition
15.19.3. Data Mining
15.19.4. Drug Discovery
15.19.5. Driver Assistance
15.19.6. Others
15.20. South Africa Deep Learning Market Forecast, by Architecture Industry
15.20.1. RNN
15.20.2. CNN
15.20.3. DBN
15.20.4. DSN
15.20.5. GRU
15.21. South Africa Deep Learning Market Forecast, by End Use Industry
15.21.1. Healthcare
15.21.2. Automotive
15.21.3. Media & Entertainment
15.21.4. BFSI
15.21.5. Other
15.22. Rest of Middle East & Africa Deep Learning Market Forecast, by Component
15.22.1. Hardware
15.22.2. Software
15.23. Rest of Middle East & Africa Deep Learning Market Forecast, by Application
15.23.1. Speech Recognition
15.23.2. Image Recognition
15.23.3. Data Mining
15.23.4. Drug Discovery
15.23.5. Driver Assistance
15.23.6. Others
15.24. Rest of Middle East & Africa Deep Learning Market Forecast, by Architecture Industry
15.24.1. RNN
15.24.2. CNN
15.24.3. DBN
15.24.4. DSN
15.24.5. GRU
15.25. Rest of Middle East & Africa Deep Learning Market Forecast, by End Use Industry
15.25.1. Healthcare
15.25.2. Automotive
15.25.3. Media & Entertainment
15.25.4. BFSI
15.25.5. Other
15.26. Middle East & Africa Deep Learning Market Attractiveness Analysis
15.26.1. By Component
15.26.2. By Application
15.26.3. By Architecture Industry
15.26.4. By End Use Industry
15.27. PEST Analysis
15.28. Key Trends
15.29. Key Development
16. South America Deep Learning Market Analysis
16.1. Key Findings
16.2. South America Deep Learning Market Overview
16.3. South America Deep Learning Market Value Share Analysis, by Component
16.4. South America Deep Learning Market Forecast, by Component
16.4.1. Hardware
16.4.2. Software
16.5. South America Deep Learning Market Value Share Analysis, by Application
16.6. South America Deep Learning Market Forecast, by Application
16.6.1. Speech Recognition
16.6.2. Image Recognition
16.6.3. Data Mining
16.6.4. Drug Discovery
16.6.5. Driver Assistance
16.6.6. Others
16.7. South America Deep Learning Market Value Share Analysis, by Architecture Industry
16.8. South America Deep Learning Market Forecast, by Architecture Industry
16.8.1. RNN
16.8.2. CNN
16.8.3. DBN
16.8.4. DSN
16.8.5. GRU
16.9. South America Deep Learning Market Value Share Analysis, by End Use Industry
16.10. South America Deep Learning Market Forecast, by End Use Industry
16.10.1. Healthcare
16.10.2. Automotive
16.10.3. Media & Entertainment
16.10.4. BFSI
16.10.5. Other
16.11. South America Deep Learning Market Value Share Analysis, by Country
16.12. South America Deep Learning Market Forecast, by Country
16.12.1. Brazil
16.12.2. Mexico
16.12.3. Rest of South America
16.13. South America Deep Learning Market Analysis, by Country
16.14. Brazil Deep Learning Market Forecast, by Component
16.14.1. Hardware
16.14.2. Software
16.15. Brazil Deep Learning Market Forecast, by Application
16.15.1. Speech Recognition
16.15.2. Image Recognition
16.15.3. Data Mining
16.15.4. Drug Discovery
16.15.5. Driver Assistance
16.15.6. Others
16.16. Brazil Deep Learning Market Forecast, by Architecture Industry
16.16.1. RNN
16.16.2. CNN
16.16.3. DBN
16.16.4. DSN
16.16.5. GRU
16.17. Brazil Deep Learning Market Forecast, by End Use Industry
16.17.1. Healthcare
16.17.2. Automotive
16.17.3. Media & Entertainment
16.17.4. BFSI
16.17.5. Other
16.18. Mexico Deep Learning Market Forecast, by Component
16.18.1. Hardware
16.18.2. Software
16.19. Mexico Deep Learning Market Forecast, by Application
16.19.1. Speech Recognition
16.19.2. Image Recognition
16.19.3. Data Mining
16.19.4. Drug Discovery
16.19.5. Driver Assistance
16.19.6. Others
16.20. Mexico Deep Learning Market Forecast, by Architecture Industry
16.20.1. RNN
16.20.2. CNN
16.20.3. DBN
16.20.4. DSN
16.20.5. GRU
16.21. Mexico Deep Learning Market Forecast, by End Use Industry
16.21.1. Healthcare
16.21.2. Automotive
16.21.3. Media & Entertainment
16.21.4. BFSI
16.21.5. Other
16.22. Rest of South America Deep Learning Market Forecast, by Component
16.22.1. Hardware
16.22.2. Software
16.23. Rest of South America Deep Learning Market Forecast, by Application
16.23.1. Speech Recognition
16.23.2. Image Recognition
16.23.3. Data Mining
16.23.4. Drug Discovery
16.23.5. Driver Assistance
16.23.6. Others
16.24. Rest of South America Deep Learning Market Forecast, by Architecture Industry
16.24.1. RNN
16.24.2. CNN
16.24.3. DBN
16.24.4. DSN
16.24.5. GRU
16.25. Rest of South America Deep Learning Market Forecast, by End Use Industry
16.25.1. Healthcare
16.25.2. Automotive
16.25.3. Media & Entertainment
16.25.4. BFSI
16.25.5. Other
16.26. South America Deep Learning Market Attractiveness Analysis
16.26.1. By Component
16.26.2. By Application
16.26.3. By Architecture Industry
16.26.4. By End Use Industry
16.27. PEST Analysis
16.28. Key Trends
16.29. Key Development
17. Company Profiles
17.1. Market Share Analysis, by Company
17.2. Competition Matrix
17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment
17.2.2. New Product Launches and Product Enhancements
17.2.3. Market Consolidation
17.2.3.1. M&A by Regions, Investment and Applications
17.2.3.2. M&A Key Players, Forward Integration and Backward
Integration
17.3. Company Profiles: Key Players
17.3.1. Advanced Micro Devices, Inc
17.3.1.1. Company Overview
17.3.1.2. Financial Overview
17.3.1.3. Product Portfolio
17.3.1.4. Business Strategy
17.3.1.5. Recent Developments
17.3.1.6. Company Footprint
17.3.2. Arm Ltd.
17.3.3. Baidu Inc.
17.3.4. Clairifai Inc.
17.3.5. Enlitic
17.3.6. General Vision Inc.
17.3.7. Google Inc.
17.3.8. Hewlett Packard
17.3.9. IBM Corporation
17.3.10. Intel Corporation
17.3.11. Microsoft Corporation
17.3.12. Nvidia Corporation
17.3.13. Qualcomm Technologies Inc.
17.3.14. Sensory Inc.
17.3.15. Skymind
17.3.16. Alphabet Inc.
17.3.17. Micron Technology Inc.
17.3.18. Amazon Web Services
18. Primary Key Insights
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers