Growing Use of Artificial Intelligence with Customer Centric Approaches to Drive the Global Deep Learning Market: Ken Research REQUEST FOR SAMPLE REPORT Buy Now Request For sample Report × Report Title Name Email Designation Phone No Comapny Name Comapny URL Country -- Please Select Your Country -- Afganistan Africa Albania Algeria Andorra Angola Anguilla Antigua and Barbuda Argentina Armenia Aruba Asia Australasia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire Bosnia Herzegovina Botswana Brazil BRICS British Virgin Islands Brunei Darussalam Bulgaria Burkina Faso Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Central and South America Chad Chile China Colombia Comoros Congo Costa Rica Cote d'Ivoire Croatia Cuba Curacao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Europe European Union Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia Gabon Gambia Georgia Germany Ghana Gibraltar Global Great Britain Greece Greenland Grenada Guadeloupe Guam Guatemala Guerney & Alderney Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Ivory Coast Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Kosovo Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macau Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Man (Island of) Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Middle East Minnesota Moldova Monaco Mongolia Monserrat Montenegro Morocco Morroco Mozambique Myanmar Namibia Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue North America North Korea Norway Oman Pakistan Palau Palestine Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Reunion Romania Russia Rwanda Saint Helena Saint Lucia Saint Martin Saint Pierre and Miquelon Saint Vincent and the Grenadines Samoa Samoa (American) San Marino Sao Tome and Principe Saudi Arabia Scandinavia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten Slovakia Slovenia Solomon (Islands) Somalia South Africa South Korea South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Islands Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Timor Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Virgin Islands Western Sahara Yemen Zambia Zimbabwe Requirement Submit Deep learning (DL) is a fragment of machine learning technique. It uses different layers of linear & nonlinear information dispensation for supervised & unsupervised sorts of transformation and extraction.It is used in developing the new technologies for instance visual data mining and natural language processing to improve the product offerings. According to study, “Global Deep Learning Market (2018-2023)” some of the major companies associated with global deep learning market areGoogle Inc., Qualcomm Technologies, Sensory Inc., Graphcore, Micron Technology, Samsung Electronics, General Vision Inc., Intel Corporation, Xilinx Inc., Amazon Web Services, Inc., NVIDIA Corporation, Mellanox Technologies, Microsoft Corporation, AWS, IBM Corporation. On the basis of offering, the global deep learning market is segmented into software, hardware and services. Software offering includes platform or API and solutions (SDK or software framework). Hardware offering are further sub-segmented into memory, processor and network. Processor includes FPGA, GPU, CPU and VPU etc. Services include training, installation and support & maintenance. On the basis of application, the market is segmented into data mining, image recognition, drug discovery and recommender system and signal recognition. On the basis of end-user, the market is segmented into manufacturing, agriculture, automotive, healthcare, security, retail, law, human resources, marketing and fintech. Manufacturing services mainly includes field services, material movement, reclamation, predictive maintenance & machinery inspection, quality control and production planning. Automotive use is sub divided into human-machine interface, autonomous driving and semiautonomous driving. Healthcare includes drug discovery, precision medicine, wearable, lifestyle management & monitoring, medical imaging & diagnostics, impatient care & hospital management and research. Security features includes data loss prevention, identity & access management, antivirus or antimalware, risk & compliance management, encryption, unified threat management, firewall and disaster recovery. Retail includes price optimization, visual search, supply chain management & demand planning, customer relationship management, virtual assistant and payment services management. Law includes case prediction, legal research, eDiscovery, compliance, contract analysis, e-Billing, legal research and knowledge management.Marketing includes search advertising, dynamic pricing, search advertising, sales & marketing automation and website design & emotion measurement. In addition, fintech includes customer behavior analytics, virtual assistant and business analytics & reporting. Some of the key benefits include ability to generate new features without human intervention and advanced analysis. The market is impacted by hindrances such as amount of data, determining the training method and lack of strong theoretical foundation. The market of deep learning is primarily driven by the growing use of artificial intelligence (AI) driving factors are the customer centric services. Moreover the increasing adoption of advanced technologies such as (big data analytics, internet of things and cloud computing), improving computing power & declining hardware cost and deep learning usage in big data analytics. Apart from advantages, some of the major challenges include lack of technical expertise, increasing complexity in hardware, deployment of DI for applications (NLP in regional dialects) and absence of standards & protocols. Moreover, some of the new opportunities include cumulative spending in healthcare (tourism, hospitality industries and travel) and presence of limited structure data. The North American region holds largest market in terms of revenue growth followed by the Asia-Pacific and Europe, globally. It is predicted that the security sub-segment will be hold the largest market share of this market on account of increasing implementation of deep learning & AI-based structures in antivirus & anti malware solutio ns. It is expected that the global deep learning market to reach at US$ 28.8 billion, at a CAGR of 48.4 %, by 2023. For more information on the research report, refer to below link:- https://www.kenresearch.com/technology-and-telecom/telecommunications-and-networking/global-deep-learning-2018-2023/172796-105.html Related Report:- https://www.kenresearch.com/technology-and-telecom/it-and-ites/global-deep-learning/173172-105.html Contact Us:-Ken ResearchAnkur Gupta, Head Marketing & CommunicationsSales@kenresearch.com+91-9015378249 Tags: Deep Learning Market In Global, Global Deep Learning Industry Research Report, Global Deep Learning Market Analysis, Global Deep Learning Market Forecast, Global Deep Learning Market Growth, Global Deep Learning Market Overview, Global Deep Learning Market Research Report, Global Deep Learning Market Scope, Global Deep Learning Market Segmentation, Global Deep Learning Market Share, Global Deep Learning Market Trends, Major Players Of Global Deep Learning Market, Pasar Pembelajaran Global Mendalam, Глобальный рынок глубокого обучения, ตลาดการเรียนรู้ทั่วโลกลึก, 全球深度学习市场, 글로벌 딥 러닝 마켓