Deep Learning Market Value to Grow around US$ 56,427.2 Mn by 2026

According to the study carried out by Acumen Research & Consulting, the Deep Learning market will register a 51.1% CAGR in terms of revenue, the global market size is likely to reach US$ 56,427.2 Mn by 2027

This report also covers market opportunities and strategies, risk analysis, performance and decision making and industry assessment in the Global Deep Learning Market report. This report focuses on the market size, trends and projections from 2020-2027. The report includes facts and statistics on improvements in the business environment, technology advances, dynamics and innovations in economies, capabilities and knowledge on major players in the global Deep Learning market. The report contains information on the latest acquisitions and the study also covers the growth of the demand for Deep Learning in major regions globally.

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The market report on the Deep Learning also provides figures on demand and supply, revenues and future strategies, technological trends and growth rates. The Global Deep Learning Market report also provides 2016-2019 historical period and forecast period from 2020-2027 data together with market SWOT analysis data. The report also includes information by type, application, region and manufacturer or producer.

The epidemic has spread to almost 200 countries worldwide since the COVID-19 virus outbreak in December 2019, announcing it to have been a public health emergency by the World Health Organisation. The global implications of the 2019 coronavirus disease (COVID-19), which will impact the Deep Learning industry by 2020, are also being observed. The outbreak of COVID-19 affected a number of aspects, such as flight cancellation, travel prohibitions and quarantine, restaurants closed, indoor events restricted, state of emergency declared for over forty countries, massive slowing of supply chain, stock market volatility, reduced business confidence, increased public panic and future uncertainty.

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Market Participants

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.

Market Segmentation

Market By Component

Hardware

  • Processor
    • GPU
    • FPGA
    • CPU
    • Others
  • Memory
  • Network

Software

  • Solution (Software Framework/SDK)
  • Platform/API

Services

  • Installation
  • Training
  • Support & Maintenance

Market By Application

  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Others

Market By End-User

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

Market By Geography

North America

  • U.S.
  • Canada

Europe

  • UK
  • Germany
  • France
  • Spain
  • Rest of Europe

Asia-Pacific

  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific

Latin America

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa

  • GCC
  • South Africa
  • Rest of Middle East & Africa

Table Of Content

CHAPTER 1. INDUSTRY OVERVIEW
1.1. Definition and Scope
1.1.1. Definition of Deep Learning
1.1.2. Market Segmentation
1.1.3. List of Abbreviations
1.2. Summary
1.2.1. Market Snapshot
1.2.2. Deep Learning Market By Component
1.2.2.1. Global Deep Learning Market Revenue and Growth Rate Comparison By Component (2015-2026)
1.2.2.2. Global Deep Learning Market Revenue Share By Component in 2018
1.2.2.3. Hardware
1.2.2.3.1. Processor
1.2.2.3.1.1. GPU
1.2.2.3.1.2. FPGA
1.2.2.3.1.3. CPU
1.2.2.3.1.4. Others
1.2.2.3.2. Memory
1.2.2.3.3. Network
1.2.2.4. Software
1.2.2.4.1. Solution (Software Framework/SDK)
1.2.2.4.2. Platform/API
1.2.2.5. Services
1.2.2.5.1. Installation
1.2.2.5.2. Training
1.2.2.5.3. Support & Maintenance
1.2.3. Deep Learning Market By Application
1.2.3.1. Global Deep Learning Market Revenue and Growth Rate Comparison By Application (2015-2026)
1.2.3.1.1. Image Recognition
1.2.3.1.2. Signal Recognition
1.2.3.1.3. Data Mining
1.2.3.1.4. Others
1.2.4. Deep Learning Market By End-User
1.2.4.1. Global Deep Learning Market Revenue and Growth Rate Comparison By End-User (2015-2026)
1.2.4.2. Healthcare
1.2.4.3. Manufacturing
1.2.4.4. Automotive
1.2.4.5. Agriculture
1.2.4.6. Retail
1.2.4.7. Security
1.2.4.8. Human Resources
1.2.4.9. Marketing
1.2.4.10. Law
1.2.4.11. Fintech
1.2.5. Deep Learning Market By Geography
1.2.5.1. Global Deep Learning Market Revenue and Growth Rate Comparison By Geography (2015-2026)
1.2.5.2. North America Deep Learning Market Revenue and Growth Rate(2015-2026)
1.2.5.3. Europe Deep Learning Market Revenue and Growth Rate(2015-2026)
1.2.5.4. Asia-Pacific Deep Learning Market Revenue and Growth Rate(2015-2026)
1.2.5.5. Latin America Deep Learning Market Revenue and Growth Rate(2015-2026)
1.2.5.6. Middle East and Africa (MEA) Deep Learning Market Revenue and Growth Rate(2015-2026)

CHAPTER 2. MARKET DYNAMICS AND COMPETITION ANALYSIS
2.1. Market Drivers
2.2. Restraints and Challenges
2.3. Growth Opportunities
2.4. Porter’s Five Forces Analysis
2.4.1. Bargaining Power of Suppliers
2.4.2. Bargaining Power of Buyers
2.4.3. Threat of Substitute
2.4.4. Threat of New Entrants
2.4.5. Degree of Competition
2.5. Value Chain Analysis
2.6. Cost Structure Analysis
2.6.1. Raw Material and Suppliers
2.6.2. Manufacturing Process Analysis
2.7. Regulatory Compliance
2.8. Competitive Landscape, 2018
2.8.1. Player Positioning Analysis
2.8.2. Key Strategies Adopted By Leading Players

CHAPTER 3. MANUFACTURING PLANTS ANALYSIS
3.1. Capacity and Commercial Production Date of Global Deep Learning Major Manufacturers in 2018
3.2. Manufacturing Plants Distribution of Global Deep Learning Major Manufacturers in 2018
3.3. R&D Status and Technology Source of Global Deep Learning Major Manufacturers in 2018
3.4. Raw Materials Sources Analysis of Global Deep Learning Major Manufacturers in 2018

CHAPTER 4. DEEP LEARNING MARKET BY COMPONENT
4.1. Global Deep Learning RevenueBy Component
4.2. Hardware
4.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.2.3. Processor
4.2.3.1. GPU
4.2.3.2. FPGA
4.2.3.3. CPU
4.2.3.4. Others
4.2.4. Memory
4.2.5. Network
4.3. Software
4.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.3.3. Solution (Software Framework/SDK)
4.3.4. Platform/API
4.4. Services
4.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
4.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
4.4.3. Installation
4.4.4. Training
4.4.5. Support & Maintenance

CHAPTER 5. DEEP LEARNING MARKET BY APPLICATION
5.1. Global Deep Learning RevenueBy Application
5.2. Image Recognition
5.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.3. Signal Recognition
5.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.4. Data Mining
5.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
5.5. Others
5.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
5.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 6. DEEP LEARNING MARKET BY END-USER
6.1. Global Deep Learning RevenueBy End-User
6.2. Healthcare
6.2.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.2.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.3. Manufacturing
6.3.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.3.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.4. Automotive
6.4.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.4.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.5. Agriculture
6.5.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.5.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.6. Retail
6.6.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.6.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.7. Security
6.7.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.7.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.8. Human Resources
6.8.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.8.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.9. Marketing
6.9.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.9.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.10. Law
6.10.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.10.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)
6.11. Fintech
6.11.1. Market Revenue and Growth Rate, 2015 – 2026 ($Million)
6.11.2. Market Revenue and Forecast, By Region, 2015 – 2026 ($Million)

CHAPTER 7. NORTH AMERICA DEEP LEARNING MARKET BY COUNTRY
7.1. North America Deep Learning Market Revenue and Growth Rate, 2015 – 2026 ($Million)
7.2. North America Deep Learning Market Revenue Share Comparison, 2015 & 2026 (%)
7.3. U.S.
7.3.1. U.S.Deep Learning Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
7.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.3.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
7.4. Canada
7.4.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
7.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
7.4.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)

CHAPTER 8. EUROPE DEEP LEARNING MARKET BY COUNTRY
8.1. Europe Deep Learning Market Revenue and Growth Rate, 2015 – 2026 ($Million)
8.2. Europe Deep Learning Market Revenue Share Comparison, 2015 & 2026 (%)
8.3. UK
8.3.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
8.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.3.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
8.4. Germany
8.4.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
8.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.4.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
8.5. France
8.5.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
8.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.5.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
8.6. Spain
8.6.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
8.6.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.6.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
8.7. Rest of Europe
8.7.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
8.7.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
8.7.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)

CHAPTER 9. ASIA-PACIFIC DEEP LEARNING MARKET BY COUNTRY
9.1. Asia-Pacific Deep Learning Market Revenue and Growth Rate, 2015 – 2026 ($Million)
9.2. Asia-Pacific Deep Learning Market Revenue Share Comparison, 2015 & 2026 (%)
9.3. China
9.3.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.3.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
9.4. Japan
9.4.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.4.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
9.5. India
9.5.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.5.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
9.6. Australia
9.6.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.6.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.6.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
9.7. South Korea
9.7.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.7.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.7.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
9.8. Rest of Asia-Pacific
9.8.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
9.8.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
9.8.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)

CHAPTER 10. LATIN AMERICA DEEP LEARNING MARKET BY COUNTRY
10.1. Latin America Deep Learning Market Revenue and Growth Rate, 2015 – 2026 ($Million)
10.2. Latin America Deep Learning Market Revenue Share Comparison, 2015 & 2026 (%)
10.3. Brazil
10.3.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
10.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.3.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
10.4. Mexico
10.4.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
10.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.4.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
10.5. Rest of Latin America
10.5.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
10.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
10.5.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)

CHAPTER 11. MIDDLE EAST & AFRICA DEEP LEARNING MARKET BY COUNTRY
11.1. Middle East & Africa Deep Learning Market Revenue and Growth Rate, 2015 – 2026 ($Million)
11.2. Middle East & Africa Deep Learning Market Revenue Share Comparison, 2015 & 2026 (%)
11.3. GCC
11.3.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
11.3.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.3.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
11.4. South Africa
11.4.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
11.4.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.4.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)
11.5. Rest of Middle East & Africa
11.5.1. Market Revenue and Forecast By Component, 2015 – 2026 ($Million)
11.5.2. Market Revenue and Forecast By Application, 2015 – 2026 ($Million)
11.5.3. Market Revenue and Forecast By End-User, 2015 – 2026 ($Million)

CHAPTER 12. COMPANY PROFILE
12.1. Amazon Web Services (AWS)
12.1.1. Company Snapshot
12.1.2. Overview
12.1.3. Financial Overview
12.1.4. Type Portfolio
12.1.5. Key Developments
12.1.6. Strategies
12.2. Google
12.2.1. Company Snapshot
12.2.2. Overview
12.2.3. Financial Overview
12.2.4. Type Portfolio
12.2.5. Key Developments
12.2.6. Strategies
12.3. IBM
12.3.1. Company Snapshot
12.3.2. Overview
12.3.3. Financial Overview
12.3.4. Type Portfolio
12.3.5. Key Developments
12.3.6. Strategies
12.4. Intel
12.4.1. Company Snapshot
12.4.2. Overview
12.4.3. Financial Overview
12.4.4. Type Portfolio
12.4.5. Key Developments
12.4.6. Strategies
12.5. Micron Technology
12.5.1. Company Snapshot
12.5.2. Overview
12.5.3. Financial Overview
12.5.4. Type Portfolio
12.5.5. Key Developments
12.5.6. Strategies
12.6. Microsoft
12.6.1. Company Snapshot
12.6.2. Overview
12.6.3. Financial Overview
12.6.4. Type Portfolio
12.6.5. Key Developments
12.6.6. Strategies
12.7. Nvidia
12.7.1. Company Snapshot
12.7.2. Overview
12.7.3. Financial Overview
12.7.4. Type Portfolio
12.7.5. Key Developments
12.7.6. Strategies
12.8. Qualcomm
12.8.1. Company Snapshot
12.8.2. Overview
12.8.3. Financial Overview
12.8.4. Type Portfolio
12.8.5. Key Developments
12.8.6. Strategies
12.9. Samsung Electronics
12.9.1. Company Snapshot
12.9.2. Overview
12.9.3. Financial Overview
12.9.4. Type Portfolio
12.9.5. Key Developments
12.9.6. Strategies
12.10. Sensory Inc.
12.10.1. Company Snapshot
12.10.2. Overview
12.10.3. Financial Overview
12.10.4. Type Portfolio
12.10.5. Key Developments
12.10.6. Strategies
12.11. Skymind
12.11.1. Company Snapshot
12.11.2. Overview
12.11.3. Financial Overview
12.11.4. Type Portfolio
12.11.5. Key Developments
12.11.6. Strategies
12.12. Others
12.12.1. Company Snapshot
12.12.2. Overview
12.12.3. Financial Overview
12.12.4. Type Portfolio
12.12.5. Key Developments
12.12.6. Strategies

CHAPTER 13. RESEARCH APPROACH
13.1. Research Methodology
13.1.1. Initial Data Search
13.1.2. Secondary Research
13.1.3. Primary Research
13.2. Assumptions and Scope

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