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North America Deep Learning Neural Networks (DNNs) Market – Industry Trends and Forecast to 2026

North America Deep Learning Neural Networks (DNNs) Market – Industry Trends and Forecast to 2026

Short Description
By Component(Hardware Software and Services), Application (Image Recognition, Natural Language Processing, Speech Recognition, Data Mining), End-User(Banking, Financial Services & Insurance (BFSI), IT & Telecommunication, Healthcare, Retail, Automotive, Manufacturing, Aerospace & Defence, Security and others), Country (U.S., Canada, Mexico)-Industry Trends and Forecast to 2026.

Market Definition

North America deep learning neural networks (DNNs) market is an machine learning based technology that basically use for , decision making, diagnosis solving prediction, decision and problems based on a well-defined computational architecture. These technologies are widely adopted in the various applications such as computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.
The rapidly increasing digitization is boosting global deep learning neural networks market. The digital transformation helps to adapt the advanced technology which provides the ease to collect the data, while the data is important and essential part of the artificial intelligence. The data helps deep learning neural networks to recognize the pattern and do the prediction.
Some of the factors which are driving the market are the increased demand of cloud-computing for businesses and demand for predictive solutions and image recognition is considered as major application for deep learning neural networks. However, less adoption of artificial intelligence-based technologies results in slow digitization is the restraint hampering the growth of the market.
North America deep learning neural networks (DNNs) market to register healthy CAGR in the forecast period of 2019 to 2026.
Market Segmentation
North America deep learning neural networks (DNNs) market is segmented into three notable segments that are component, application and end-user.
• On the basis of component, the market is segmented into hardware, software and services
• On the basis of application, the market is segmented into image recognition, speech recognition, natural language processing, data mining

• On the basis of end-user, the market is segmented into banking, financial services & insurance (BFSI), IT & telecommunication, healthcare, retail, automotive, manufacturing, aerospace & defence, security and others


Market Players
Some of the major players operating in this market are:
• ALPHABET INC. (GOOGLE)
• IBM
• ALYUDA RESEARCH, LLC
• Micron Technologies, Inc.
• Neural Technologies Limited
• NEURODIMENSION, INC.
• NEURALWARE
• NVIDIA CORPORATION
• SKYMIND INC
• SAMSUNG
• Qualcomm Technologies, Inc.
• Intel Corporation
• Xilinx Inc.
• Starmind
• Amazon Web Services, Inc.
• Microsoft Corporation
• GMDH LLC.
• Sensory Inc.
• Ward Systems Group, Inc.

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1 Introduction
1.1 Objectives Of The Study
1.2 Market Definition
1.3 Overview Of The North America Deep Learning Neural Networks (Dnns) Market
1.4 Currency And Pricing
1.5 Limitation
1.6 Markets Covered
2 Market Segmentation
2.1 Markets Covered
2.2 Geographical Scope
2.3 Years Considered For The Study
2.4 Dbmr Tripod Data Validation Model
2.5 Primary Interviews With Key Opinion Leaders
2.6 Dbmr Market Position Grid
2.7 Market Application Coverage Grid
2.8 Dbmr Vendor Share Analysis
2.9 Secondary Sources
2.10 Assumptions
3 Market Overview
3.1 Drivers
3.1.1 Increased Demand Of Cloud-computing For Businesses And Demand For Predictive Solutions
3.1.2 Rapidly Increasing Digitization Across Developed Markets
3.1.3 Image Recognition Is Considered As Major Application For Deep Learning Neural Networks
3.2 Restraints
3.2.1 Less Adoption Of Artificial Intelligence-based Technologies Results In Slow Digitization
3.2.2 Difficulties During Algorithms Implementation And Integration Of Hardware
3.3 Opportunities
3.3.1 The Extensive Growth In Data Will Increase The Demand Of Deep Learning Solutions
3.3.2 Increased Spending Capacity Across End User Industries
3.4 Challenges
3.4.1 Lack Of Skilled And Technical Professionals
3.4.2 Deployment Of Dl For Applications Such As Nlp In Regional Dialects
4 Executive Summary
5 Premium Insights
5.1 Multivariate Modelling
5.2 Timeline Grid
6 North America Deep Learning Neural Network Market, By Component
6.1 Overview
6.2 Hardware
6.2.1 Processor
6.2.2 Memory
6.2.3 Network
6.3 Software
6.3.1 Software Development Kit (Sdk)
6.3.2 Application Programming Interface (Api)
6.4 Services
7 North America Deep Learning Neural Networks Market, By Application
7.1 Overview
7.2 Image Recognition
7.3 Speech Recognition
7.4 Natural Language Processing
7.5 Data Mining
8 North America Deep Learning Neural Networks Market, By End-user
8.1 Overview
8.2 Banking, Financial Services And Insurance (Bfsi)
8.2.1 Business Analytics And Reporting
8.2.2 Customer Behavior Analytics
8.2.3 Virtual Assistant
8.2.4 Others
8.3 Retail
8.3.1 Supply Chain Management And Demand Planning
8.3.2 Product Recommendation And Planning
8.3.3 Customer Relationship Management
8.3.4 Price Optimization
8.3.5 Payment Services Management
8.3.6 Others
8.4 It And Telecommunication
8.5 Aerospace And Defense
8.6 Automotive
8.6.1 Human Machine Interface
8.6.2 Semi Autonomous Driving
8.6.3 Autonomous Driving
8.7 Manufacturing
8.7.1 Quality Control
8.7.2 Predictive Maintenance And Machinery Inspection
8.7.3 Production Planning
8.7.4 Material Movement
8.7.5 Field Services
8.7.6 Reclamation
8.7.7 Others
8.8 Healthcare
8.8.1 Medical Imaging And Diagnostics
8.8.2 Wearables
8.8.3 Patient Data And Risk Analysis
8.8.4 Inpatient Care And Hospital Management
8.8.5 Drug Discovery
8.8.6 Research
8.8.7 Lifestyle Management And Monitoring
8.8.8 Precision Medicine
8.9 Security
8.9.1 Identity And Access Management (Iam)
8.9.2 Risk And Compliance Management
8.9.3 Unified Threat Management
8.9.4 Encryption
8.9.5 Data Loss Prevention
8.9.6 Antivirus/ Antimalware
8.10 Others
9 North America Deep Learning Neural Networks (Dnns) Market, By Geography
9.1 North America
9.1.1 U.S.
9.1.2 Canada
9.1.3 Mexico
10 North America Deep Learning Neural Networks (Dnns) Market,
Company Landscape
10.1 Company Share Analysis: North America
11 Swot Analysis
12 Company Profiles
12.1 Ibm
12.1.1 Company Snapshot
12.1.2 Revenue Analysis
12.1.3 Company Share Analysis
12.1.4 Product Portfolio
12.1.5 Recent Developments
12.2 Alphabet Inc.
12.2.1 Company Snapshot
12.2.2 Revenue Analysis
12.2.3 Product Portfolio
12.2.4 Recent Developments
12.3 Nvidia Corporation
12.3.1 Company Snapshot
12.3.2 Revenue Analysis
12.3.3 Company Share Analysis
12.3.4 Product Portfolio
12.3.5 Recent Developments
12.4 Microsoft
12.4.1 Company Snapshot
12.4.2 Revenue Analysis
12.4.3 Company Share Analysis
12.4.4 Product Portfolio
12.4.5 Recent Developments
12.5 Qualcomm Technologies, Inc.
12.5.1 Company Snapshot
12.5.2 Revenue Analysis
12.5.3 Software Portfolio
12.5.4 Recent Developments
12.6 Intel Corporation
12.6.1 Company Snapshot
12.6.2 Revenue Analysis
12.6.3 Product Portfolio
12.6.4 Recent Developments
12.7 Alyuda Research, Llc.
12.7.1 Company Snapshot
12.7.2 Product Portfolio
12.7.3 Recent Development
12.8 Amazon Web Services, Inc.
12.8.1 Company Snapshot
12.8.2 Revenue Analysis
12.8.3 Product Portfolio
12.8.4 Recent Developments
12.9 Gmdh Llc.
12.9.1 Company Snapshot
12.9.2 Software Portfolio
12.9.3 Recent Development
12.10 Micron Technology, Inc.
12.10.1 Company Snapshot
12.10.2 Revenue Analysis
12.10.3 Solution Portfolio
12.10.4 Recent Developments
12.11 Neural Technologies Limited
12.11.1 Company Snapshot
12.11.2 Product Portfolio
12.11.1 Recent Developments
12.12 Neuralware
12.12.1 Company Snapshot
12.12.2 Product Portfolio
12.12.3 Recent Developments
12.13 Neurodimension, Inc.
12.13.1 Company Snapshot
12.13.2 Product Portfolio
12.13.3 Recent Development
12.14 Samsung
12.14.1 Company Snapshot
12.14.2 Revenue Analysis
12.14.3 Product Portfolio
12.15 Sensory Inc.
12.15.1 Company Snapshot
12.15.2 Product Portfolio
12.15.3 Recent Developments
12.16 Skymind Inc
12.16.1 Company Snapshot
12.16.2 Product Portfolio
12.16.3 Recent Developments
12.17 Starmind
12.17.1 Company Snapshot
12.17.2 Software Portfolio
12.17.3 Recent Developments
12.18 Ward Systems Group, Inc.
12.18.1 Company Snapshot
12.18.2 Product Portfolio
12.18.3 Recent Development
12.19 Xilinx Inc.
12.19.1 Company Snapshot
12.19.2 Revenue Analysis
12.19.3 Product Portfolio
12.19.4 Recent Developments
13 Conclusion
14 Related Reports

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