Deep Learning Systems Market, By Product Type (Hardware, Software, and Services), By End-User (BFSI, Retail, and Healthcare), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2030

Introduction:

Deep learning system is a subset of artificial intelligence which comprises of hierarchical levels of artificial neural networks in order to carry out the process of machine learning. Artificial neural networks are built like the human brain, with neuron nodes connected together like a web. The deep learning system applies nonlinear transformations and model abstractions of high level in large databases. Deep learning system is widely used by many organizations to produced valuable data such as innovative product designs and collects feedback from customers for making better decisions.  The Deep Learning Systems Market accounted for US$ 1.64 billion in 2020 and is estimated to be US$ 193.01 billion by 2030 and is anticipated to register a CAGR of 40.8%.

 

Increasing Demand for Technological Advancement

Increasing technological advancement, rising demand for cyber security and fraud detection are major factors driving growth of the global deep learning systems market. In addition, rapid developments in computer-based operations and quick data storage is propelling growth of the global deep learning systems market. Moreover, growing high investment in artificial intelligence from industries is a factor boosting growth of the global deep learning systems market. However, high cost associated with processing of hardware is expected to hamper growth of the global deep learning systems market in the near future. Deep learning systems can be useful in the security tool for facial and speech recognition which can create lucrative opportunity for global deep learning systems market in the near future.

Increasing technological advancement, rising demand for cyber security and fraud detection are major factors driving growth of the global deep learning systems market. In addition, rapid developments in computer-based operations and quick data storage is propelling growth of the global deep learning systems market. Moreover, growing high investment in artificial intelligence from industries is a factor boosting growth of the global deep learning systems market. However, high cost associated with processing of hardware is expected to hamper growth of the global deep learning systems market in the near future. Deep learning systems can be useful in the security tool for facial and speech recognition which can create lucrative opportunity for global deep learning systems market in the near future.

Regional Insights:

The global Deep Learning System market accounted for US$ 1.64 billion in 2020 and is estimated to be US$ 193.01 billion by 2030 and is anticipated to register a CAGR of 40.8%. On region the global deep learning systems market has been segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America holds highest market share in terms of revenue in the global deep learning system market. This is attributed to growing investment in neural networks and artificial intelligence by leading companies in this region. The Asia Pacific is expected to register significant growth in the global market in terms of revenue, owing to presence of appropriate infrastructure, and increasing adoption of artificial intelligence in this region.

Report Scope:

Attribute	Details
Base year for estimation	2020
Forecast period	2020 – 2030
Market representation	Revenue in USD Billion & CAGR from 2020 – 2030
Market Segmentation	By Product- Hardware, software and service By End-user– BFSI, Retail, and healthcare
Regional scope	North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2020 to 2030. For the purpose of this study, has segmented the global Deep Learning System  market report based on product type, end-user, and region.

Global Deep Learning System Market, By Region:

• • • North America
      • • U.S.
        • Canada
    • Europe
      • • Germany
        • UK
        • France
        • Russia
        • Italy
        • Rest of Europe
    • Asia Pacific
      • • China
        • India
        • Japan
        • South Korea
        • Rest of Asia Pacific
    • Latin America
      • • Brazil
        • Mexico
        • Rest of Latin America
    • Middle East & Africa
      • • GCC
        • Israel
        • South Africa
        • Rest of Middle East & Africa

The Key players in the global deep learning systems market includes Google Inc., IBM Corp., Microsoft Corporation, Qualcomm Technologies Inc., General Vision Inc., Insilico Medicine, Inc., NVIDIA Corporation, Zebra Medical Vision Inc., Enlitic Inc., Ginger.Io,Inc., MedAware limited., and Lumiata Inc.

• Google Inc.,
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies

• IBM Corp.
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Microsoft Corporation
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Qualcomm Technologies Inc
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• General Vision Inc
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Insilico Medicine, Inc.,
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• NVIDIA Corporation
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Zebra Medical Vision Inc
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Enlitic Inc.
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Ginger.Io,Inc.,
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• MedAware limited
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
•  Lumiata Inc.
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies

1. Research Objective and Assumption
   • Preface
   • Research Objectives
   • Study Scope
   • Years Considered for the study
   • Assumptions
   • Abbreviations
2. Research Methodology
   • Research data
   • Primary Data
     • Primary Interviews
     • Primary Breakdown
     • Key data from Primary Sources
     • Key Thickness Insights
   • Secondary Data
     • Major Secondary Sources
     • Secondary Sources
   • Market Estimation
   • Top-Down Approach
     • Approach for estimating Market Share by Top-Down Analysis (Supply Side)
   • Bottom-Up Approach
     • Approach for estimating market share by Bottom-up Analysis (Demand Side)
   • Market Breakdown and Data Triangulation
   • Research Assumptions
   • PORTER’s
   • Investment Outlook
3. Market Purview
   • Executive Summary
   • Key Findings—Global Outlook for Deep Learning Systems Strategies
     • Key Questions this Study will Answer
     • • By Product Type (Hardware, Software, and Services),
       • By End-User (BFSI, Retail, and Healthcare), 
       • By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa)
   • Opportunity Map Analysis
   • Executive Summary—3 Big Predictions
4. Market Dynamics, Regulations, and Trends Analysis
   • Market Dynamics
     • Drivers
     • Restraints
     • Market Opportunities
     • Market Trends
   • DR Impact Analysis
   • PEST Analysis
   • Porter’s Five Forces Analysis
   • Opportunity Orbit
   • Overview
   • Market Value and Forecast (US$ Mn), and Share Analysis (%), 2020 – 2030
   • Y-o-Y Growth Analysis (%), 2020 – 2030
   • Regional Trends
   • Market Investment Feasibility Index
   • Macroeconomic Factor Analysis
5. Regional Analysis
   • Regional Revenue Analysis
   • Regional By segment Analysis
   • Reasons for regional growth
   • Key Player of particular region
   • Countries Include in the report:

1. • • North America (U.S., Canada)
     • Europe (UK, France, Germany, Russia, Italy, Rest of Europe)
     • Asia Pacific (India, Japan, South Korea, China, Rest of Asia Pacific)
     • Latin America (Brazil, Mexico, Rest of Latin America)
     • Middle East & Africa (GCC, Israel, South Africa, Rest of Middle East)

1. Competitive Landscape
   • Heat Map Analysis
   • Market Presence and Specificity Analysis
   • Competitive Overview
   • Competitive Benchmarking
   • Market Share Analysis
   • Key Developments In The Global Deep Learning Systems Market
   • Key Developments: Mergers & Acquisitions
   • Key Developments: Collaboration
   • Key Developments: Contracts & Agreements
   • Key Developments: Expansion
   • Key Developments: Product Developments
2. Company Profiles

• Company Overview
• Product Portfolio
• Key Highlights
• Financial Performance
• Business Strategies
• SWOT Analysis

• Google Inc., IBM Corp., Microsoft Corporation, Qualcomm Technologies Inc., General Vision Inc., Insilico Medicine, Inc., NVIDIA Corporation, Zebra Medical Vision Inc., Enlitic Inc., Ginger.Io,Inc., MedAware limited., and Lumiata Inc.

1. The Last Word
   • Future Impact
   • About Us
   • Contact