Deep learning technology is a part of machine learning which is based on artificial neural networks. The technology is a set of instructions programmed in order to achieve human brain alike operations through machines. Deep learning platforms are being developed based on the technology used for various devices such as IoT, autonomous vehicles, and others. Some of the major instances of deep learning assisted devices include driverless cars, smart consumer devices such as phones, tablets, TVs, and hands-free speakers. The devices based on deep learning technology works on the platforms designed with machine learning. Due to the growing demand for automation, the adoption of deep learning platforms is increasing at a considerable rate in various sectors such as manufacturing, media and entertainment, BFSI, and others.
Moreover, ease of operations and time-saving process of deep learning platforms are supporting the growth of the global deep learning technology market. Further, the market growth is attributed to a high number of market players, substantial growth in the fin-tech industry, and adoption of deep learning in big data analytics. However, the lack of technical expertise and the absence of proper standards may hamper the growth of the global deep learning technology market. The technology is in the nascent phase and due to lack of proper standards for operations, organizations are reluctant to adopt the technology, which as a result acting as a barrier in the market. Despite the challenges, the market is estimated to create a number of opportunities due to shifting work from hardware to software-based operations, and growing ICT industry in emerging economies such as India, and China.
The global deep learning technology market is segmented on the basis of application and end-user. On the basis of application, the market is further segmented into data mining, image recognition, signal recognition, and others. Deep learning for image recognition is expected to hold a considerable market share in the global deep learning technology market. Further, on the basis of end-user, the market is segmented into BFSI, manufacturing, healthcare, automotive, and others. Moreover, on the basis of geography, the market study the analysis of North America, Europe, Asia-pacific, and the rest of the world. North America is expected to hold a significant share owing to the presence of major market players in the US.
The global deep learning technology market is composed of various major market players which are supporting the growth of the market. Some of the major market players include Amazon Web Services, Inc., IBM Corp., Intel Corp., NVIDIA Corp., Sensory, Inc.¸ Microsoft Corp., Clarifai, Inc., Cisco Systems, Inc., and Qualcomm Technologies, Inc. In order to enhance the market presence and strengthen the revenue model of the business, the market players are adopting various strategies such as product launch, geographical expansion, mergers and acquisition, and partnership and collaboration. For instance, in April 2019, Google, LLC launched a new AI platform for machine learning professionals. The project can support the entire development lifecycle for developers’ machine learning projects. The launch will support the company’s product portfolio.
Research Methodology:
The market study of the global deep learning technology market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.
Secondary Sources Include:
- Financial reports of companies involved in the market
- Whitepapers, research-papers and news blogs
- Company websites and their services.
The report is intended for deep learning solution providers, cloud service providers, manufacturers implementing AI technology, semiconductor companies, technology investors, BFSI organizations, software companies, research institutes, investment companies and venture capitalists, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.
Market Segmentation:
- Global Deep Learning Technology Market Research and Analysis by Application
- Global Deep Learning Technology Market Research and Analysis by End-User
The Report Covers:
- Comprehensive research methodology of the global deep learning technology market.
- This report also includes a detailed and extensive market overview with key analyst insights.
- An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
- Analysis of regional regulations and other government policies impacting the global deep learning technology market.
- Insights about market determinants which are stimulating the global deep learning technology market.
- Detailed and extensive market segments with regional distribution of forecast revenues.
- Extensive profiles and recent developments of market players.
