According to a market report by Lucintel, the future of the deep learning market looks promising with opportunities in the healthcare, security, retail, automotive, manufacturing, and financial technology (fintech) sectors. The deep learning market is expected to grow with a CAGR of 25% from 2019 to 2024. The major drivers for this market are increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology.
In this market, image recognition, signal recognition, data mining, recommender system, and drug discovery are the major applications segment. Image recognition is the largest segment due to increasing demand in security industries.
Within the deep learning market, healthcare, security, retail, automotive, manufacturing, and financial technology (fintech) are the major end use industries. Security is the largest segment due to increasing demand in the image recognition market. Hardware, software, and services are the major offering types of the deep learning market.
Asia Pacific will remain the largest region over the forecast period. Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, and Sensory Inc. are among the major suppliers in this market.
Lucintel, a leading global strategic consulting and market research firm, has analyzed growth opportunities in the deep learning market by application, end use industries, offering, and region. Lucintel has prepared a comprehensive research report entitled “Growth Opportunities in the Deep Learning Market 2019-2024: Trends, Forecast, and Opportunity Analysis.” This Lucintel report serves as a catalyst for growth strategy as it provides comprehensive data and analysis on trends, key drivers, and directions. The study includes a forecast for the deep learning market by application, end use industries, offering, and region as follows:
By Application [$M shipment analysis for 2013 – 2024]:
• Image recognition
• Signal recognition
• Data mining
• Others (recommender system and drug discovery)
By End Use Industry [$M shipment analysis for 2013 – 2024]:
• Media and Advertising
• Security
• Automotive
• Healthcare
• Retail
• Fintech (Financial Technology)
• Manufacturing
• Others
By Offering [$M shipment analysis for 2013 – 2024]:
• Hardware
o Processor
o Memory
o Network
• Software
• Service

By Region [$M shipment analysis for 2013 – 2024]:
• North America
– United States
– Canada
– Mexico
• Europe
– Germany
– UK
– Italy
• Asia Pacific
– China
– Japan
– India
• Rest of the World

A more than 150-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or visit us at [email protected].
About Lucintel
Lucintel, the premier global management consulting and market research firm, creates winning strategies for growth. It offers market assessments, competitive analysis, opportunity analysis, growth consulting, M&A, and due diligence services to executives and key decision makers in a variety of industries. For further information, visit www.lucintel.com.
This report answers following 11 key questions:
Q.1 What are some of the most promising potential, high-growth opportunities for the deep learning market, by application(image recognition, signal recognition, data mining), end use industry (media and advertising, security, automotive, healthcare, retail, fintech, manufacturing and others), offering (hardware, software, and service) and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the deep Learning market?
Q.5 What are the business risks and threats to the deep learning market?
Q.6 What are emerging trends in this deep learning market and the reasons behind them?
Q.7 What are some changing demands of customers in the deep learning market?
Q.8 What are the new developments in the deep learning market? Which companies are leading these developments?
Q.9 Who are the major players in this deep learning market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in this deep learning area and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M & A activities have taken place in the last 5 years in this, deep learning market?