Overview
Deep learning is a subset of machine learning that tries to mimic human behavior without supervision. Construction of large neural networks and feeding of large volumes of data for distinguishing between humans and objects forms a vital point of this technology. The Deep Learning Market report by Market Research Future (MRFR) covers latest updates and prospects in novel applications in the industry for the period of 2018 to 2023 (forecast period). The COVID-19 outbreak and its implications are outlined in the report.
Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/6058
Market Scope
The global deep learning market is expected to expand at 30.87% CAGR during the forecast period. Generation of large volumes of unstructured data and cloud services has compelled the need for deep learning. This is evident with applications in robotics, artificial intelligence, and image and speech recognition. For instance, Hanson Robotics has developed Sophia, a humanoid robot, with features and habits close to humans.
The increasing need for human and machine interaction in the coming years can provide abundant opportunities to the market. Investments of multinational corporations into the technology can provide stimulus to the market. Agreements and partnerships between companies for developing and improving new technologies will lead to new avenues for the market to expand. Government initiatives and increased budget for new technologies can buttress the trend in the forthcoming years.
But the need for large amount of data can pose a challenge to the market.
Detailed Regional Analysis
The regional inquiry of the Deep Learning Market Share includes regions such as Asia-Pacific, North America, Europe, and the rest of the regions. The developing implementation of deep learning technology for applications specifically of voice and image recognition, signal recognition, data mining, and diagnostics purpose in countries in the North American region such as the US, Canada, and Mexico are motivating the market development. The developing advance and penetration Japan, Australia, New Zealand, South Korea, and Taiwan in deep learning technology are rapidly boosting the market development in the Asia-Pacific region. Moreover, the implementation of deep learning technology by administrations in the European countries for fraud detection, surveillance, and data mining are also likely to incentivize the market development in the region.
Competitive Analysis
The improved backing by government and trade bodies are creating a favorable pace of growth in the market. The control of overhead costs is projected to motivate the market considerably in the forecast period. The market is observed to be on a hot streak of expansion in the forecast period. The market players are expected to contribute in a significant way to the progress of the market by investing capital and fortifying their assets and competencies in the market to match the pulse of the market. The customer inclinations are projected to define the growth of the global market more than ever in the coming years. The intensive attention focused on research and development activities is projected to open up new areas for development of the market in the forecast period. The robust marketing activities undertaken by the contenders in the market are inspiring the next steps for market development in the forecast period.
The strategic companies in the deep learning market are Intel Corporation (USA), Baidu Inc (China), Samsung Electronics Co Ltd (South Korea), Facebook (USA), Sensory Inc. (USA), NVIDIA Corporation (USA), Amazon Inc. (USA), Xilinx Inc. (USA), Advanced Micro Devices Inc. (USA), Google LLC (USA), Mellanox Technologies (USA), Micron Technology (USA), Adapteva, Inc. (USA), Qualcomm Technologies Inc. (USA), IBM Corporation (USA), Tenstorrent (Canada), and Microsoft Corporation (USA).
Industry Updates:
Mar 2020 The scientists at MIT and Harvard’s Broad Institute and MIT’s CSAIL have built a deep learning network that can obtain a wide-ranging representation of molecular structure and thus discover novel antibiotics. The resultant compound, halicin, can be used to end a pathogen for which no cure has happened, and it potentially can even help in the battle against coronavirus.
Segmentation
Based on component, the market has been classified into hardware (processors, memory, and network), software (solution and platform) and services (installation, training, and support & maintenance). The hardware segment is expected to dominate the deep learning market during the forecast period.
By application, it is segmented into signal recognition, image recognition, data mining, and others.
End-users in the global deep learning market are agriculture, automotive, healthcare, manufacturing, retail, security, and others.
Regional Analysis
Within North America region, the growing adoption of deep learning technology for applications, namely signal recognition, voice and image recognition, data mining, and diagnostics purpose in the U.S., Canada, and Mexico is driving the market growth. Huge demand for realistic visuals in gaming and edutech can trigger the demand for deep learning. Graphics processing units are being produced on a large scale to cater to high-speed computing applications.
The APAC deep learning market is driven by the growing development and penetration of deep learning technology in Australia, China, Japan, India, New Zealand, South Korea, and Taiwan. Extensive use of chatbots and virtual assistants for smartphones and other smart devices can drive the demand for deep learning. The insights into human behavior, resolution of normal queries, and improvements of security in public places can bolster the market growth exponentially during the forecast period.
Additionally, the adoption of deep learning technology by governments in the European countries for fraud detection, surveillance, and data mining are expected to propel the market growth in the region.
Browse Complete Report @ https://www.marketresearchfuture.com/reports/deep-learning-market-6058
About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions.
Contact:
Market Research Future
+1 646 845 9312
Email: [email protected]
