TOKYO, Aug. 16, 2022 (GLOBE NEWSWIRE) — The Global Deep Learning Market is expected to grow at a CAGR of 51.1% from forecast period 2022 to 2030 and expected to reach the value of around USD 415 Billion by 2030.
Deep learning technology has been adopted by many end-user industries and will continue to evolve in the coming years. Deep learning is a branch of machine learning that teaches computers to do what humans do naturally. Currently, this technology has applications in industries such as healthcare, manufacturing, and automotive among others. Deep learning now provides more accurate responses than humans, and as a result, this technology is rapidly spreading around the world. The ability to perform tasks without human intervention is the driving force behind the deep learning market growth. Growth in big data and rising adoption of cloud-based technologies are the two global deep learning market trends that are driving the industry growth.
Many artificial intelligence (AI) applications and solutions rely on deep learning to improve automation by performing physical and analytical tasks without human intervention. The introduction of self-driving technology is a popular example of how deep learning technology will drive market growth. Deep learning tools are experts at extracting structured data from a set of unstructured data without the need for human intervention; this gives deep learning an advantage over machine learning, which requires manual intervention. The growing trend of automation in a variety of industries is expected to boost deep learning market revenue in the coming years.
Request For Free Sample Report @
|Market||Deep Learning Market|
|Deep Learning Market Size 2021||USD 10.3 Billion|
|Deep Learning Market
|USD 415 Billion|
|Deep Learning Market CAGR||51.1% During 2022 – 2030|
|Analysis Period||2018 – 2030|
|Forecast Data||2022 – 2030|
|Segments Covered||By Component, By Application, By End-User, By And By Geography|
|Regional Scope||North America, Europe, Asia Pacific, Latin America, and Middle East & Africa|
|Key Companies Profiled||Amazon Web Services (AWS), Google, IBM, Intel, Micron Technology, Microsoft, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, Xilinx, AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Baidu, Mythic, Adapteva, Inc., and Koniku|
|Report Coverage||Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Regulation Analysis|
COVID-19 Impact on the Global Deep Learning Market Value
According to our deep learning industry analysis, deep learning has helped during the COVID-19 pandemic in aspects such as early disease diagnosing, fraud detection, and money laundering. Deep learning models enable researchers to handle enormous amounts of data thanks to increased inexpensive data storage capacities, the development of computers with powerful processors, and other computational advancements. According to recent studies, deep learning models have already been used to classify, predict, identify, and diagnose COVID-19 using medical imaging (such as X-ray images and CT scans). Deep learning has also helped with disease forecasting and tracking, social distance monitoring, and the development of drugs and vaccines (sometimes taking mutations/variants into account). In this way, deep learning assisted in saving a huge amount of money and saved millions of lives during the coronavirus outbreak.
Get Report Customization: https://www.acumenresearchandconsulting.com/request-customization/1697
Deep Learning Market Dynamics
The rapid adoption of computers, smartphones, and other mobile platforms is the primary aspect driving the global deep learning market share. The rising adoption of these devices generates an enormous amount of data. This pool of data is then analyzed by deep learning tools, which helps this technology to make better decisions in any given scenario. Implementation of deep learning in any industry can help save time and money, resulting in a reduction of repetitive tasks conducted by humans. As a result, the growing adoption of deep learning across widespread end-use industries is flourishing the deep learning market value.
Integration of deep learning in big data analytics also supports the market to grow rapidly. Current explosive usage of AI, IoT robotics, industrial automation, cybersecurity, and machine vision technology creates a huge volume of data. Thus the integration of big data with deep learning is anticipated to create significant growth opportunities for the market throughout the projected timeframe from 2022 to 2030. However, lack of technical expertise and rising complexity in hardware owing to the complex algorithm are some of the factors that are limiting the market from growing.
Deep Learning Market Segmentation
The global market is divided into three segments: component, application, end-user, and region.
Based on type, the market is divided into hardware, software, and services. The hardware sub-segment is further divided into the processor (central processing unit (CPU), graphics processing unit (GPU), field programmable gate array (FPGA), and others), memory, and network. The software sub-segment is further split into solution (software framework/SDK) and platform/API. The services sub-segment is categorized as installation, training, and support & maintenance. According to our deep learning industry analysis, the hardware sub-segment generated the largest revenue in type during the forecast timeframe.
The application segment is further split into data mining, signal recognition, image recognition, and others. Based on our analysis, image recognition gathered a significant amount of market share in 2021 and is likely to do so in the coming years.
Furthermore, agriculture, automotive, fintech, healthcare, human resources, law, manufacturing, marketing, retail, and security are the splits of the end-user segment. According to our deep learning market forecast, the security sub-segment is anticipated to occupy a considerable market share from 2022 to 2030. The increasing number of cyber attacks, growing money laundering cases, and advancements in fraud detection are some of the factors boosting the security segment. On the other hand, the healthcare sub-segment is expected to grow with the fastest CAGR in the forthcoming years. Implementation of deep learning in early diagnosis of disease, predicting future hospitalization, and identifying clinical risks are supporting the healthcare sector in deep learning.
Check the detailed table of contents of the report @
Deep Learning Market Regional Outlook
The global deep learning market is divided into five regions: North America, Asia-Pacific, Europe, Latin America, and the Middle East & Africa. In 2021, North America conquered the market with utmost shares and is likely to continue its dominance in the coming years. The growing adoption of deep learning in aerospace & defense, healthcare, automotive, and IT & telecom is expanding the North American deep learning market. The early adoption of technologies increased technological advancements, and the presence of numerous key players in the US and Canada is also supporting the North American deep learning industry. In terms of growth, the Asia-Pacific region is anticipated to attain the fastest growth rate during the projected years. The flourishing smartphones, computers/tablets, and other electronic devices industries are fueling the Asia-Pacific deep learning market. On top of that, increasing the application of robotics, IoT, AI, and machine learning in countries like China, India, Japan, and South Korea will also lead to an impressive growth of the Asia-Pacific industry.
Buy this premium research report –
Deep Learning Market Players
Some prominent deep learning companies covered in the industry are Adapteva, Inc., Amazon Web Services (AWS), AMD, Baidu, Fujitsu, General Vision, Graphcore, Google, Huawei Technologies, IBM, Intel, Koniku Micron Technology, Microsoft, Mellanox Technologies, Mythic, Nvidia, Qualcomm, Samsung Electronics, Sensory Inc., Skymind, and Xilinx.
Browse More Research Topic on Technology Market:
The Global Podcasting Market Size was valued at USD 13,785 Million in 2021 and is predicted to be worth USD 153,071 Million by 2030, with a CAGR of 31.2% from 2022 to 2030.
The Global Artificial Intelligence (AI) in Cybersecurity Market size accounted for USD 14.9 Billion in 2021 and is estimated to reach the market value of USD 133.8 Billion by 2030.
The Global Corporate eLearning Market accounted for USD 97 Billion in 2021 and is expected to reach USD 550 Billion by 2030 with a considerable CAGR of 21.6% during the forecast timeframe of 2022 to 2030.
Acumen Research and Consulting is a global provider of market intelligence and consulting services to information technology, investment, telecommunication, manufacturing, and consumer technology markets. ARC helps investment communities, IT professionals, and business executives to make fact-based decisions on technology purchases and develop firm growth strategies to sustain market competition. With the team size of 100+ Analysts and collective industry experience of more than 200 years, Acumen Research and Consulting assures to deliver a combination of industry knowledge along with global and country level expertise.
Mr. Richard Johnson
Acumen Research and Consulting
The content is by Globe Newswire. Headlines of Today Media is not responsible for the content provided or any links related to this content. Headlines of Today Media is not responsible for the correctness, topicality or the quality of the content.