+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Deep Learning Market by Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry (Security, Marketing, Healthcare, Fintech, Automotive) & Geography - Global Forecast to 2023

  • PDF Icon

    Report

  • 212 Pages
  • March 2018
  • Region: Global
  • Markets and Markets
  • ID: 4491146

Deep learning market projected to grow at a CAGR of 41.7% during forecast period

According to the new market research report on deep learning, this market is expected to be worth USD 3.18 billion in 2018 and is likely to reach USD 18.16 billion by 2023, at a CAGR of 41.7% from 2018 to 2023. The growth of the deep learning market can be attributed to improving computing power and declining hardware cost. However, the lack of technical expertise and absence of standards and protocols, and increasing complexity in hardware due to complex algorithm used in deep learning technology are restraining the growth of the deep learning market.

Market for services to grow at highest CAGR from 2018 to 2023

The market for services is expected to grow at the highest CAGR from 2018 to 2023. Deep learning technology is highly complex in nature requiring the implementation of sophisticated algorithms. Deep learning systems require installation; training; and support and maintenance services. Installation services allow the software to be integrated with the analytics side to enable data retrieval and generate desired result through computation. The use of computer systems for DL/AI further increases the amount of work involved in installation.

Processor held largest market size in 2017

In terms of hardware, processor held the largest size of the deep learning market in 2017. Companies in industries such as healthcare and finance are investing in machine learning infrastructure. High parallel processing capabilities and improved computing power have resulted in the high adoption of GPUs in various DL applications.

Deep learning market for manufacturing industry to witness highest growth between 2018 and 2023

The market for the manufacturing industry is expected to witness the highest growth during the forecast period. Deep learning technology is used in industrial robots, machine vision systems, and others to improve the process and product quality, minimize cycle time, and increase the efficiency of the manufacturing process as a whole.

Deep learning market in APAC expected to grow at highest CAGR

This report covers the deep learning market in North America, Europe, APAC, and RoW. Rise in the adoption of deep learning technology in APAC could be attributed to the increasing applications of deep learning in media & advertising, finance, and retail sectors, among others, in technologically advancing countries such as India, China, and Japan. Growing e-commerce, online streaming, and increasing internet penetration have resulted in the growth of marketing industries. In the security vertical, with increasing incidents of cyberattacks and a growing cyber-war in the region, organizations and governments are focusing on robust defense infrastructure.

Breakdown of profiles of primary participants:

  • By Company Type: Tier 1 = 55%, Tier 2 = 35%, and Tier 3 = 10%
  • By Designation: C-Level Executives = 55%, Directors = 30%, and Others = 15%
  • By Region: North America = 60%, Europe = 20%, APAC = 15%, and RoW = 5%

Companies that are profiled in this report are NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), IBM (US), Google (US), Microsoft (US), and AWS (US). Some of the key start-ups included in this report are Graphcore (UK), Mythic (US), Adapteva (US), and Koniku (US).

Research Coverage

The report describes various offerings associated with deep learning and related developments across industry verticals and regions. It aims at estimating the size and growth potential of this market across segments such as offerings (hardware, software, and services), applications, end-user industries, and geographies. Furthermore, the report includes an in-depth competitive analysis of the key players in the market, along with their company profiles, recent developments, and key market strategies.

Reasons to Buy the Report

  • The report includes the market statistics pertaining to various segments, along with their respective revenue.
  • The report details the major drivers, restraints, challenges, and opportunities pertaining to the deep learning market.
  • The report provides illustrative segmentation, analysis, and forecast for the deep learning market by offering, application, end-user industry, and geography to give an overall view of the deep learning market.
  • The report provides a detailed competitive landscape including key players and their ranking.
Frequently Asked Questions about the New Market

What is the estimated value of the New Market?

The New Market was estimated to be valued at $3.18 billion in 2018.

What is the growth rate of the New Market?

The growth rate of the New Market is 41.7%, with an estimated value of $18.16 billion by 2023.

What is the forecasted size of the New Market?

The New Market is estimated to be worth $18.16 billion by 2023.

Who are the key companies in the New Market?

Key companies in the New Market include AMD, Adapteva, Inc., Amazon Web Services (AWS), Baidu, Fujitsu, General Vision, Google, Graphcore, Huawei Technologies and IBM.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Years Considered for This Study
1.4 Currency
1.5 Stakeholders
2 Research Methodology
2.1 Research Data
2.1.1 Secondary and Primary Research
2.1.1.1 Key Industry Insights
2.1.2 Secondary Data
2.1.2.1 Major Secondary Sources
2.1.2.2 Secondary Sources
2.1.3 Primary Data
2.1.3.1 Primary Interviews With Experts
2.1.3.2 Breakdown of Primaries
2.1.3.3 Primary Sources
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.1.1 Approach for Capturing Market Share By Bottom-Up Analysis (Demand Side)
2.2.2 Top-Down Approach
2.2.2.1 Approach for Capturing Market Share By Top-Down Analysis (Supply Side)
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in Deep Learning Market
4.2 Deep Learning Market, By Offering
4.3 Deep Learning Market, By Hardware
4.4 Deep Learning Market in APAC, By End-User Industry and Country
4.5 Deep Learning Market, By Country
5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Improving Computing Power and Declining Hardware Cost
5.2.1.2 Increasing Adoption of Cloud-Based Technology
5.2.1.3 Deep Learning Usage in Big Data Analytics
5.2.1.4 Growing AI Adoption in Customer-Centric Services
5.2.2 Restraints
5.2.2.1 Increasing Complexity in Hardware Due to Complex Algorithm Used in Deep Learning Technology
5.2.2.2 Lack of Technical Expertise and Absence of Standards and Protocols
5.2.3 Opportunities
5.2.3.1 Presence of Limited Structured Data to Increase Demand for Deep Learning Solutions
5.2.3.2 Cumulative Spending in Healthcare, Travel, Tourism, and Hospitality Industries
5.2.4 Challenges
5.2.4.1 Lack of Flexibility and Multitasking
5.2.4.2 Deployment of Dl for Applications Such as NLP in Regional Dialects
5.3 Value Chain Analysis
5.4 Some of the Prominent Ml Libraries (Software Frameworks)
6 Deep Learning Market, By Offering
6.1 Introduction
6.2 Hardware
6.2.1 Processor
6.2.2 Memory
6.2.3 Network
6.3 Software
6.3.1 Solution (Software Framework/SDK)
6.3.2 Platform/API
6.4 Services
6.4.1 Installation
6.4.2 Training
6.4.3 Support & Maintenance
7 Deep Learning Market, By Application
7.1 Introduction
7.2 Image Recognition
7.3 Signal Recognition
7.4 Data Mining
7.5 Others (Recommender System and Drug Discovery)
8 Deep Learning Market, By End-User Industry
8.1 Introduction
8.2 Healthcare
8.2.1 Patient Data & Risk Analysis
8.2.2 Lifestyle Management & Monitoring
8.2.3 Precision Medicine
8.2.4 Inpatient Care & Hospital Management
8.2.5 Medical Imaging & Diagnostics
8.2.6 Drug Discovery
8.2.7 Virtual Assistant
8.2.8 Wearables
8.2.9 Research
8.3 Manufacturing
8.3.1 Material Movement
8.3.2 Predictive Maintenance and Machinery Inspection
8.3.3 Production Planning
8.3.4 Field Services
8.3.5 Reclamation
8.3.6 Quality Control
8.4 Automotive
8.4.1 Autonomous Driving
8.4.2 Human-Machine Interface
8.4.3 Semiautonomous Driving
8.5 Agriculture
8.5.1 Precision Farming
8.5.2 Livestock Monitoring
8.5.3 Drone Analytics
8.5.4 Agricultural Robots
8.5.5 Others
8.6 Retail
8.6.1 Product Recommendation and Planning
8.6.2 Customer Relationship Management
8.6.3 Visual Search
8.6.4 Virtual Assistant
8.6.5 Price Optimization
8.6.6 Payment Services Management
8.6.7 Supply Chain Management and Demand Planning
8.6.8 Others
8.7 Security
8.7.1 Identity and Access Management (IAM)
8.7.2 Risk and Compliance Management
8.7.3 Encryption
8.7.4 Data Loss Prevention
8.7.5 Unified Threat Management
8.7.6 Antivirus/Antimalware
8.7.7 Intrusion Detection/Prevention Systems
8.7.8 Others
8.8 Human Resources
8.8.1 Virtual Assistant
8.8.2 Sentiment Analysis
8.8.3 Scheduling Group Meetings and Interviews
8.8.4 Personalized Learning and Development
8.8.5 Applicant Tracking & Assessment
8.8.6 Employee Engagement
8.8.7 Resume Analysis
8.9 Marketing
8.9.1 Social Media Advertising
8.9.2 Search Advertising
8.9.3 Dynamic Pricing
8.9.4 Virtual Assistant
8.9.5 Content Curation
8.9.6 Sales & Marketing Automation
8.9.7 Analytics Platform
8.9.8 Others
8.10 Law
8.10.1 Ediscovery
8.10.2 Legal Research
8.10.3 Contract Analysis
8.10.4 Case Prediction
8.10.5 Compliance
8.10.6 Others
8.11 Fintech
8.11.1 Virtual Assistant
8.11.2 Business Analytics and Reporting
8.11.3 Customer Behavior Analytics
8.11.4 Others
9 Geographic Analysis
9.1 Introduction
9.2 North America
9.2.1 US
9.2.2 Canada
9.2.3 Mexico
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Rest of Europe
9.4 APAC
9.4.1 China
9.4.2 Japan
9.4.3 South Korea
9.4.4 India
9.4.5 Rest of APAC
9.5 RoW
9.5.1 Middle East and Africa
9.5.2 South America
10 Competitive Landscape
10.1 Overview
10.2 Ranking Analysis: Deep Learning Market
10.3 Competitive Situation and Trend
10.3.1 New Product Developments and Launches
10.3.2 Collaborations and Partnerships
10.3.3 Acquisitions
10.3.4 Others
11 Company Profiles
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and View)*
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and View might not be captured in case of unlisted companies.
11.1 Key Players
11.1.1 Amazon Web Services (AWS)
11.1.2 Google
11.1.3 IBM
11.1.4 Intel
11.1.5 Micron Technology
11.1.6 Microsoft
11.1.7 Nvidia
11.1.8 Qualcomm
11.1.9 Samsung Electronics
11.1.10 Sensory Inc.
11.1.11 Skymind
11.1.12 Xilinx
11.2 Other Companies
11.2.1 AMD
11.2.2 General Vision
11.2.3 Graphcore
11.2.4 Mellanox Technologies
11.2.5 Huawei Technologies
11.2.6 Fujitsu
11.2.7 Baidu
11.2.8 Mythic
11.2.9 Adapteva, Inc.
11.2.10 Koniku
11.2.11 Tenstorrent
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and View Might Not Be Captured in Case of Unlisted Companies.
List of Tables
Table 1 Price Comparison: AI Chipsets (Leading Companies)
Table 2 Companies Offering Cloud Services for Deep/Machine Learning
Table 3 Machine Learning Libraries By Various Market Players (2015-2017)
Table 4 Deep Learning Market, By Offering, 2015-2023 (USD Million)
Table 5 Industry Players in Deep Learning Market, 2017
Table 6 Deep Learning Market, By Hardware, 2015-2023 (USD Million)
Table 7 Deep Learning Market, By Processor, 2015-2023 (USD Million)
Table 8 Deep Learning Market, By Processor, 2015-2023 (Thousand Units)
Table 9 Deep Learning Hardware Market, By Application, 2015-2023 (USD Million)
Table 10 Deep Learning Hardware Market, By End-User Industry, 2015-2023 (USD Million)
Table 11 Deep Learning Market, By Software, 2015-2023 (USD Million)
Table 12 Deep Learning Software Market, By Application, 2015-2023 (USD Million)
Table 13 Deep Learning Software Market, By End-User Industry, 2015-2023 (USD Million)
Table 14 Deep Learning Market, By Service, 2015-2023 (USD Million)
Table 15 Deep Learning Service Market, By Application, 2015-2023 (USD Million)
Table 16 Deep Learning Service Market, By End-User Industry, 2015-2023 (USD Million)
Table 17 Deep Learning Market, By Application, 2015-2023 (USD Million)
Table 18 Deep Learning Market for Image Recognition, By Offering, 2015-2023 (USD Million)
Table 19 Deep Learning Market for Signal Recognition, By Offering, 2015-2023 (USD Million)
Table 20 Deep Learning Market for Data Mining, By Offering, 2015-2023 (USD Million)
Table 21 Deep Learning Market for Others, By Offering, 2015-2023 (USD Million)
Table 22 Deep Learning Market, By End-User Industry, 2015-2023 (USD Million)
Table 23 Deep Learning Market for Healthcare, By Offering, 2015-2023 (USD Million)
Table 24 Deep Learning Market for Healthcare, By Application, 2015-2023 (USD Million)
Table 25 Deep Learning Market for Manufacturing, By Offering, 2015-2023 (USD Million)
Table 26 Deep Learning Market for Manufacturing, By Application, 2015-2023 (USD Million)
Table 27 Deep Learning Market for Automotive, By Offering, 2015-2023 (USD Million)
Table 28 Deep Learning Market for Automotive, By Application, 2015-2023 (USD Million)
Table 29 Deep Learning Market for Agriculture, By Offering, 2015-2023 (USD Million)
Table 30 Deep Learning Market for Agriculture, By Application, 2015-2023 (USD Million)
Table 31 Deep Learning Market for Retail, By Offering, 2015-2023 (USD Million)
Table 32 Deep Learning Market for Retail, By Application, 2015-2023 (USD Million)
Table 33 Deep Learning Market for Security, By Offering, 2015-2023 (USD Million)
Table 34 Deep Learning Market for Security, By Application, 2015-2023 (USD Million)
Table 35 Deep Learning Market for HR, By Offering, 2015-2023 (USD Million)
Table 36 Deep Learning Market for HR, By Application, 2015-2023 (USD Million)
Table 37 Deep Learning Market for Marketing, By Offering, 2015-2023 (USD Million)
Table 38 Deep Learning Market for Marketing, By Application, 2015-2023 (USD Million)
Table 39 Deep Learning Market for Law, By Offering, 2015-2023 (USD Million)
Table 40 Deep Learning Market for Law, By Application, 2015-2023 (USD Million)
Table 41 Deep Learning Market for Fintech, By Offering, 2015-2023 (USD Million)
Table 42 Deep Learning Market for Fintech, By Application, 2015-2023 (USD Million)
Table 43 Deep Learning Market, By Region, 2015-2023 (USD Million)
Table 44 Deep Learning Market in North America, By Country, 2015-2023 (USD Million)
Table 45 Deep Learning Market in US, By End-User Industry, 2015-2023 (USD Million)
Table 46 Deep Learning Market in Canada, By End-User Industry, 2015-2023 (USD Million)
Table 47 Deep Learning Market in Mexico, By End-User Industry, 2015-2023 (USD Million)
Table 48 Deep Learning Market in Europe, By Country, 2015-2023 (USD Million)
Table 49 Deep Learning Market in UK, By End-User Industry, 2015-2023 (USD Million)
Table 50 Deep Learning Market in Germany, By End-User Industry, 2015-2023 (USD Million)
Table 51 Deep Learning Market in France, By End-User Industry, 2015-2023 (USD Million)
Table 52 Deep Learning Market in Italy, By End-User Industry, 2015-2023 (USD Million)
Table 53 Deep Learning Market in Spain, By End-User Industry, 2015-2023 (USD Million)
Table 54 Deep Learning Market in Rest of Europe, By End-User Industry, 2015-2023 (USD Million)
Table 55 Deep Learning Market in APAC, By Country, 2015-2023 (USD Million)
Table 56 Deep Learning Market in China, By End-User Industry, 2015-2023 (USD Million)
Table 57 Deep Learning Market in Japan, By End-User Industry, 2015-2023 (USD Million)
Table 58 Deep Learning Market in South Korea, By End-User Industry, 2015-2023 (USD Million)
Table 59 Deep Learning Market in India, By End-User Industry, 2015-2023 (USD Million)
Table 60 Deep Learning Market in Rest of APAC, By End-User Industry, 2015-2023 (USD Million)
Table 61 Deep Learning Market in RoW, By Region, 2015-2023 (USD Million)
Table 62 Deep Learning Market in Middle East and Africa, By End-User Industry, 2015-2023 (USD Million)
Table 63 Deep Learning Market in South America, By End-User Industry, 2015-2023 (USD Million)
Table 64 Ranking of Key Companies in Deep Learning Market (2017)
Table 65 New Product Developments and Launches (2015-2017)
Table 66 Collaborations and Partnerships (2015-2017)
Table 67 Acquisitions (2015-2017)
Table 68 Others (2015-2017)
List of Figures
Figure 1 Deep Learning Market Segmentation
Figure 2 Deep Learning Market: Research Design
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
Figure 4 Market Size Estimation Methodology: Top-Down Approach
Figure 5 Data Triangulation
Figure 6 Deep Learning Market, By Offering, 2018 vs 2023 (USD Billion)
Figure 7 Deep Learning Market, By Processor, 2015-2023 (USD Billion)
Figure 8 Deep Learning Market, By Application, 2018 vs 2023 (USD Billion)
Figure 9 Deep Learning Market, By End-User Industry, 2018 vs 2023
Figure 10 Deep Learning Market, By Region, 2018
Figure 11 Improving Computing Power and Declining Hardware Cost Driving Deep Learning Market
Figure 12 Software to Hold Largest Size of Deep Learning Market By 2023
Figure 13 Processor to Hold Largest Share of Deep Learning Market By 2023
Figure 14 China Expected to Hold Largest Share of Deep Learning Market in APAC in 2018
Figure 15 Deep Learning Market in China to Grow at Highest CAGR During Forecast Period
Figure 16 Increasing Adoption of Cloud-Based Technology and Deep Learning Usage in Big Data Analytics Driving Deep Learning Market
Figure 17 Value Chain Analysis: Major Value Added During Manufacturing and Testing Phases
Figure 18 Deep Learning Market, By Offering
Figure 19 Deep Learning Processor Market for Others to Grow at Highest CAGR During Forecast Period
Figure 20 Deep Learning Software Market for Data Mining to Grow at Highest CAGR During Forecast Period
Figure 21 Image Recognition to Hold Major Share of Deep Learning Market Between 2018 and 2023
Figure 22 Deep Learning Market (Others) for Services to Grow at Highest CAGR During Forecast Period
Figure 23 Deep Learning Market for Manufacturing to Grow at Highest CAGR During Forecast Period
Figure 24 Predictive Maintenance and Machinery Inspection to Hold Largest Size of Deep Learning Market for Manufacturing During Forecast Period
Figure 25 Software to Hold Largest Share of Deep Learning Market for Automotive During Forecast Period
Figure 26 Precision Farming to Hold Largest Size of Deep Learning Market for Agriculture During Forecast Period
Figure 27 Antivirus/Antimalware to Hold Largest Size of Deep Learning Market for Security By 2023
Figure 28 Deep Learning Market (HR) for Applicant Tracking & Assessment to Grow at Highest CAGR During Forecast Period
Figure 29 Search Advertising to Hold Largest Share of Deep Learning Market for Marketing During Forecast Period
Figure 30 Deep Learning Market (Fintech) for Virtual Assistant to Grow at Highest CAGR Between 2018 and 2023
Figure 31 Deep Learning Market Geographic Snapshot (2018-2023)
Figure 32 Deep Learning Market in APAC to Grow at Highest CAGR From 2018 to 2023
Figure 33 Deep Learning Market Snapshot: North America
Figure 34 Healthcare to Hold Largest Size of Deep Learning Market in Mexico By 2023
Figure 35 Deep Learning Market Snapshot: Europe
Figure 36 Healthcare to Hold Largest Size of French Deep Learning Market By 2023
Figure 37 Deep Learning Market Snapshot: APAC
Figure 38 Marketing to Hold Largest Size of Deep Learning Market in China By 2023
Figure 39 Deep Learning Market Snapshot: RoW
Figure 40 Security to Hold Largest Share of Deep Learning Market in Middle East & Africa By 2023
Figure 41 Companies Adopted Collaboration as Key Growth Strategy Between 2015 and 2017
Figure 42 New Product Developments-Key Strategy Adopted By Players Between 2015 and 2017
Figure 43 AWS: Company Snapshot
Figure 44 Google: Company Snapshot
Figure 45 IBM: Company Snapshot
Figure 46 Intel: Company Snapshot
Figure 47 Micron Technology: Company Snapshot
Figure 48 Microsoft: Company Snapshot
Figure 49 Nvidia: Company Snapshot
Figure 50 Qualcomm Technologies: Company Snapshot
Figure 51 Samsung Electronics: Company Snapshot
Figure 52 Xilinx: Company Snapshot

Samples

Loading
LOADING...

Executive Summary

Companies Mentioned

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