Deep Learning Market

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

Report Code: SE 4770 Mar, 2018, by marketsandmarkets.com

[210 Pages Report] The deep learning market was worth USD 2.28 Billion in 2017 and is expected to reach USD 18.16 Billion by 2023, at a CAGR of 41.7% from 2018 to 2023. The base year considered for this study is 2017, and the forecast period is from 2018 to 2023.

Study Objectives

  • To define, describe, segment, and forecast the market, in terms of value, by offering, application, end-user industry, and geography
  • To define, describe, segment, and forecast the deep learning market, in terms of volume, by offering
  • To forecast the market size for various segments with respect to 4 main regions - North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
  • To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To strategically analyze the micromarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and detail the competitive landscape for market players
  • To strategically profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments such as new product developments/product launches, partnerships, agreements, collaborations, and research and development (R&D) activities in the market

To estimate the size of the deep learning market, top-down and bottom-up approaches are followed in the study. The entire research methodology includes the study of annual and financial reports, presentations, and press releases of the top players; white papers such as The Zettabyte Era: Trends and Analytics by Cisco Systems (US), Big Data (Artificial Intelligence) by EU Business Innovation Industry, The New Wave of Artificial Intelligence by Evry A/S (Norway), AI Meets Big Data by Umbel (US), and Deep Learning Methods and Applications by Li Deng and Dong Yu; and interviews with industry experts. The overall market size is used in the top-down procedure to estimate the sizes of other individual markets via percentage splits from secondary and primary research.

Deep Learning Market

To know about the assumptions considered for the study, download the pdf brochure

The deep learning market comprises hardware manufacturers such as NVIDIA (US), Intel (US), General Vision (US), Graphcore (UK), Xilinx (US), and Qualcomm (US); and deep learning solution providers such as Google (US), Microsoft (US), AWS (US), Sensory Inc. (US), and IBM (US). The other key hardware manufacturers are Samsung Electronics (South Korea), Micron Technology (US), and Mellanox Technologies (Israel).

Target Audience

  • Chipset manufacturers
  • Cloud service providers
  • Commercial banks
  • Deep learning/machine learning solution providers
  • Device manufacturers
  • DL platform providers
  • Investors and venture capitalists
  • Manufacturers and people implementing AI technology
  • Raw material and manufacturing equipment suppliers
  • Research organizations, universities, and consulting companies
  • Semiconductor companies
  • System integrators
  • Technology investors
  • Technology providers

Deep Learning Market Scope

By Offering

  • Hardware
    • Processor
      • GPU
      • FPGA
      • CPU
      • Others (TPU, DPU, VPU, BPU, and IPU)
    • Memory
    • Network
  • Software
    • Solution (Software Framework/SDK)
    • Platform/API
  • Services
    • Installation
    • Training
    • Support & Maintenance

By Application

  • Image Recognition
  • Signal Recognition
  • Data Mining
  • Others (Recommender System and Drug Discovery)

By End-User Industry

  • Healthcare
    • Patient Data & Risk Analysis
    • Lifestyle Management & Monitoring
    • Precision Medicine
    • Inpatient Care & Hospital Management
    • Medical Imaging & Diagnostics
    • Drug Discovery
    • Virtual Assistant
    • Wearables
    • Research
  • Manufacturing
    • Material Movement
    • Predictive Maintenance and Machinery Inspection
    • Production Planning
    • Field Services
    • Reclamation
    • Quality Control
  • Automotive
    • Autonomous Driving
    • Human–Machine Interface
    • Semiautonomous Driving
  • Agriculture
    • Precision Farming
    • Livestock Monitoring
    • Drone Analytics
    • Agricultural Robots
    • Others
  • Retail
    • Product Recommendation and Planning
    • Customer Relationship Management
    • Visual Search
    • Virtual Assistant
    • Price Optimization
    • Payment Services Management
    • Supply Chain Management and Demand Planning
    • Others
  • Security
    • Identity and Access Management
    • Risk and Compliance Management
    • Encryption
    • Data Loss Prevention
    • Unified Threat Management
    • Antivirus/Antimalware
    • Intrusion Detection/Prevention Systems
    • Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)
  • Human Resources
    • Virtual Assistant
    • Sentiment Analysis
    • Scheduling Group Meetings and Interviews
    • Personalized Learning and Development
    • Applicant Tracking & Assessment
    • Employee Engagement
    • Resume Analysis
  • Marketing
    • Social Media Advertising
    • Search Advertising
    • Dynamic Pricing
    • Virtual Assistant
    • Content Curation
    • Sales & Marketing Automation
    • Analytics Platform
    • Others (Website Design and Emotion Measurement)
  • Law
    • eDiscovery
    • Legal Research
    • Contract Analysis
    • Case Prediction
    • Compliance
    • Others (Intellectual Property, e-Billing, Knowledge Management)
  • Fintech
    • Virtual Assistant
    • Business Analytics & Reporting
    • Customer Behavior Analytics
    • Others (Market Research, Advertising, Market Campaign)

By Geography

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • APAC
    • China
    • Japan
    • South Korea
    • India
    • Rest of APAC
  • RoW
    • Middle East and Africa
    • South America

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Country-wise breakdown of various geographies, including North America, Europe, APAC, and RoW
  • Market segmentation of various end-user industries into application segments
  • Comprehensive coverage of regulations followed in each region (North America, APAC, Europe, and RoW)

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

The overall deep learning market is estimated to be valued at USD 3.18 Billion in 2018 and is expected to reach USD 18.16 Billion by 2023, at a CAGR of 41.7% between 2018 and 2023. Major drivers for this market are improving computing power and declining hardware cost; the increasing adoption of cloud-based technology; deep learning usage in big data analytics; and growing AI adoption in customer-centric services.

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 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 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.

In terms of applications, image recognition holds the largest share of the deep learning market. The market for data mining is expected to witness the highest growth during the forecast period. Growing demand for pattern recognition, optical character recognition, code recognition, facial recognition, object recognition, and digital image processing is driving the growth of image recognition in the market. With the advent of new technologies, natural language processing and visual data mining have been developed using deep learning techniques. Data mining is used in the following applications: sentiment analysis, machine translation, fingerprint identification, cybersecurity, and bioinformatics.

Among the various end-user industries covered in this report, security held the largest market share, followed by marketing. The growth of deep learning in security is attributed to rapidly changing cybersecurity ecosystem as new types of cyberattacks are constantly being found, and organizations have to keep up with these threats to protect their critical assets. Deep learning in security solutions helps organizations protect their crucial information and avoid data loss. Additionally, deep learning is gaining importance in the field of marketing, mainly for media and advertising. Applications such as search advertising, social media advertising, and sales and marketing automation are driving the growth of deep learning in marketing.

Deep Learning Market

Of all the regions, North America held the largest market share in terms of revenue in 2017. Demand for deep learning applications, such as image recognition, signal recognition, and data mining, in industries such as aerospace & defense, automotive, healthcare, and IT and telecommunications is expected to drive the growth of the market in North America. The market in APAC is expected to grow at the highest CAGR from 2018 to 2023. In APAC, the market for deep learning is growing as this technology is used in not only electronic products, such as smartphones, tablets, and PCs, but also medical and automotive products. High economic growth witnessed by major countries, such as China and India, is expected to drive the growth of the market in APAC.

The key restraining factors for this market are increasing complexity in hardware due to complex algorithm used in deep learning technology; and the lack of technical expertise and absence of standards and protocols.

Leading market players have adopted both organic and inorganic growth strategies to maintain strong foothold in the deep learning market. Collaborations, product launches, new product developments, and partnerships have been the key growth strategies adopted by the leading players such as NVIDIA, IBM, Intel, Google, and Microsoft. In October 2017, Intel shipped the industry’s first silicon for neural network processor, Intel Nervana Neural Network Processor (NNP). Using Intel Nervana technology, end-user companies will be able to develop entirely new classes of AI applications that maximize the amount of data processed and enable customers to find greater insights transforming their businesses.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 18)
    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 (Page No. - 21)
    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 (Page No. - 31)

4 Premium Insights (Page No. - 37)
    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 (Page No. - 41)
    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 (Page No. - 49)
    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 (Page No. - 62)
    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 (Page No. - 69)
    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 (Page No. - 109)
    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 (Page No. - 138)
     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 (Page No. - 154)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM 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 MnM View Might Not Be Captured in Case of Unlisted Companies.

12 Appendix (Page No. - 200)
     12.1 Insights of Industry Experts
     12.2 Discussion Guide
     12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     12.4 Introducing RT: Real-Time Market Intelligence
     12.5 Available Customizations
     12.6 Related Reports
     12.7 Author Details


List of Tables (68 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 (52 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


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SE 4770
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