Connect with us
European Gaming Congress 2024

Artificial Intelligence

Deep Learning Market Size Will Achieve USD 415 Billion by 2030 growing at 51.1% CAGR Fueled by the Increasing Adoption of Big Data Analytics – Exclusive Report by Acumen Research and Consulting

Published

on

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 @

https://www.acumenresearchandconsulting.com/request-sample/1697

Advertisement
Stake.com

Report Coverage:

Market Deep Learning Market
Deep Learning Market Size 2021 USD 10.3 Billion
Deep Learning Market
Forecast 2030
USD 415 Billion
Deep Learning Market CAGR 51.1% During 2022 – 2030
Analysis Period 2018 – 2030
Base Year 2021
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

Advertisement
Stake.com

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.

Advertisement
Stake.com

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 @

https://www.acumenresearchandconsulting.com/table-of-content/deep-learning-market

Deep Learning Market Regional Outlook

Advertisement
Stake.com

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 –

https://www.acumenresearchandconsulting.com/buy-now/0/1697

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.

Advertisement
Stake.com

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.

About Acumen Research and Consulting:

Advertisement
Stake.com

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.

For Latest Update Follow Us on Twitter and, LinkedIn

Contact Us:

Mr. Richard Johnson

Acumen Research and Consulting

Advertisement
Stake.com

USA: +13474743864

India: +918983225533

E-mail: [email protected]

 

Advertisement
Stake.com

GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

Northern Data Group is first in Europe to acquire NVIDIA H200 GPUs

Published

on

northern-data-group-is-first-in-europe-to-acquire-nvidia-h200-gpus

First in Europe to acquire NVIDIA H200 GPUs – currently the most powerful GPUs on the market The deployment further expands the Group’s Generative AI CSP offering, already the largest in Europe Further demonstration of the Group’s continued commitment to providing best-in-class technologies FRANKFURT, Germany, July 1, 2024 /PRNewswire/ — Northern Data Group (Ticker symbol German stock market: NB2, ISIN: DE000A0SMU87), a leading provider of High-Performance Computing (HPC) solutions, today announces it has purchased NVIDIA H200 GPUs through a newly established partnership with Supermicro, a global leader in Application-Optimized Total IT Solutions.

Northern Data Group’s cloud platform, Taiga Cloud will be the first Cloud Service Provider (CSP) in Europe to offer access to the H200 GPU hardware, with delivery and deployment scheduled for Q4 2024. The partnership with Supermicro for the NVIDIA H200 GPUs will further build its HPC solutions and complement its existing offering of best-in-class GenAI technologies.
This purchase of the H200 GPUs demonstrates Northern Data Group’s commitment to offering the best-in-class technology to its customers, as it continues to expand its cloud solutions offering, while also maintaining its position as Europe’s first and largest dedicated Generative AI Cloud Service Provider.
The first full island of over 2,000 NVIDIA H200 GPUs utilizing BlueField-3 data processing units (DPUs) and NVIDIA Mellanox CX7 NICs, to deliver 32 petaFLOPS of performance. The configuration of NVIDIA-referenced architecture allows customers to access more bandwidth, faster, and more efficient data storage access. The H200 GPUs will be housed in one of Northern Data Group’s European data centers, powered by carbon-free, renewable energy and boast a Power Usage Effectiveness ratio of less than 1.2.
Aroosh Thillainathan, Founder and CEO, Northern Data Group, commented:
“Our GenAI platform is constantly evolving and we are proud to collaborate with Supermicro to be the first in Europe to offer access to NVIDIA H200 GPUs. This is testament to our commitment to continually offer industry-leading, next-generation solutions. 
“As an Elite Partner of NVIDIA, we are proud to continue to offer cutting-edge technology, deployed in line with recommended architecture references to maximize the technology.” 
Vik Malyala, President & Managing Director, EMEA; SVP, Technology & AI, Supermicro commented:
“We are excited to collaborate with Northern Data Group to expand its GenAI Cloud offering to include Supermicro GPU servers based on latest Nvidia H200 HGX GPUs.  Supermicro is fully committed to delivering most performant and energy efficient AI infrastructure and solutions, and this collaboration will accelerate availability and bring the best value for customers in Europe.”
About Northern Data Group: 
Northern Data Group (ETR: NB2) is a leading provider of High-Performance Computing (HPC) solutions to businesses and research institutions, utilizing GPU- and ASIC-based solutions. Our flexible compute power fuels innovation in our three core business platforms: Taiga Cloud, Ardent Data Centers, and Peak Mining. Through our HPC solutions, we pioneer ambitious computing innovation that drives progress in the AI, ML and Generative AI industries. Our close collaboration with industry-leading manufacturers including Gigabyte, AMD, and NVIDIA is fundamental to the acceleration of innovation across sectors including life sciences, financial services, and energy. 
About Taiga Cloud:
Taiga Cloud, a Northern Data Group platform, is Europe’s first and largest Generative AI Cloud Service Provider. We provide a flexible, secure and compliant cloud-based ultra-fast GPU Network, engineered to meet organizations’ most ambitious compute needs. Taiga Cloud recognizes that high-intensity, large-scale processing power is crucial for accelerating Generative AI models and research which will deliver a new era of technological breakthroughs. Taiga’s energy-efficient Cloud is powered by Europe’s largest cluster of NVIDIA A100 Tensor Core and H100 Tensor Core GPUs, helping enable organizations to accelerate AI and ML innovation on demand, with technology that is fully scalable.

View original content:https://www.prnewswire.co.uk/news-releases/northern-data-group-is-first-in-europe-to-acquire-nvidia-h200-gpus-302185926.html

Continue Reading

Artificial Intelligence

Dawn Health and Merck are collaborating to support Growth Disorders care

Published

on

dawn-health-and-merck-are-collaborating-to-support-growth-disorders-care

COPENHAGEN, Denmark, July 1, 2024 /PRNewswire/ — Dawn Health, the digital health company pioneering patient-first innovation, has announced they are working with leading global pharmaceutical company, Merck, on a digital solution for Growth Hormone Disorders (GHD).

Over the next two years, they will join forces to deliver a cutting-edge, user-centric digital platform, designed to help improve the lives of tens of thousands of patients across more than 40 countries.
By harnessing the latest AI technologies, the collaboration will also involve exploring the integration of features such as growth predictions and advanced personalization into the digital product, with excitement about AI and its potential for impact on user experience, adoption, adherence, and treatment outcomes. The digital solution will provide support to children and young adults living with GHD, as well as providing tools and support to their caregivers, both at home and in a clinical setting. 
With a shared commitment to improving patient lives, the collaboration will focus on patient-centricity to deliver an intuitive, engaging product that supports users and caregivers throughout their treatment journey. This means speaking with patients to truly understand their unmet needs and how the solution can best address these, as well as hearing from caregivers and healthcare professionals about how to best empower and support those living with GHD.
The collaboration is already off to a strong start, with workshops and inspiring discussions happening between the teams at Dawn Health and Merck, as they work together to deliver a cutting-edge platform on a global scale to improve the lives of people living with Growth Hormone Disorders.
About Merck
Merck, a leading science and technology company, operates across life science, healthcare and electronics. Around 63,000 employees work to make a positive difference to millions of people’s lives every day by creating more joyful and sustainable ways to live. From providing products and services that accelerate drug development and manufacturing as well as discovering unique ways to treat the most challenging diseases to enabling the intelligence of devices – the company is everywhere. In 2023, Merck generated sales of € 21 billion in 65 countries. Scientific exploration and responsible entrepreneurship have been key to Merck’s technological and scientific advances. This is how Merck has thrived since its founding in 1668. The founding family remains the majority owner of the publicly listed company. Merck holds the global rights to the Merck name and brand. The only exceptions are the United States and Canada, where the business sectors of Merck operate as MilliporeSigma in life science, EMD Serono in healthcare, and EMD Electronics in electronics.
All Merck press releases are distributed by e-mail at the same time they become available on the Merck website. Please go to www.merckgroup.com/subscribe to register online, change your selection or discontinue this service.
About Dawn Health
Dawn Health is a global leader in digital health, specializing in the development of software as a medical device (SaMD) and digital therapeutics (DTx). Partnering with pharmaceutical companies, Dawn Health accelerates the launch of digital solutions to change the lives of people with chronic conditions.
Media Contacts
For questions about [email protected] 
For questions about Dawn HealthChristopher Kold, [email protected]
 

View original content:https://www.prnewswire.co.uk/news-releases/dawn-health-and-merck-are-collaborating-to-support-growth-disorders-care-302184356.html

Continue Reading

Artificial Intelligence

Transforming Healthcare with AI: Yidu Tech’s Gong Rujing at Summer Davos

Published

on

transforming-healthcare-with-ai:-yidu-tech’s-gong-rujing-at-summer-davos

DALIAN, China, July 1, 2024 /PRNewswire/ — “AI in healthcare is extremely challenging. For companies, it requires not only solving scientific problems but also understanding AI technology and respecting the complexity of the healthcare industry.” At the 15th Annual Meeting of the New Champions, also known as Summer Davos, Ms. Gong Rujing (Yingying), Chairwoman and Founder of Yidu Tech, was invited as a distinguished representative of the healthcare technology sector. She shared her unique insights into the future of AI in healthcare during the thematic dialogue on “Healthcare Analytics, Not Moving Fast Enough.”

This year marks the 10th anniversary of Yidu Tech and Ms. Gong Rujing’s decade-long dedication to the healthcare industry. From the inception of her entrepreneurial journey 10 years ago, she has been driven by the mission to leverage the power of technology to deliver precise healthcare to every individual.
Ms. Gong described the past decade as a journey filled with miracles and achievements. During this period, Yidu Tech has progressively established close collaborations with key stakeholders in the healthcare industry, including government agencies, hospitals, pharmaceutical companies, insurance firms, experts, and clinicians. As of March 31, 2024, Yidu Tech’s “AI Medical Brain” YiduCore has been authorized to process and analyze over 5 billion medical records, covering more than 2,500 hospitals.
In AI-powered clinical research, Yidu Tech has supported researchers and clinicians in producing over 240 high-level papers, accelerating the application of research outcomes. Additionally, Yidu Tech provides clinical trial services to globally renowned pharmaceutical companies, helping them optimize trial processes, reduce costs, and bring new drugs to market more swiftly, ultimately benefiting patients. In healthcare management, Yidu Tech’s AI technology plays a crucial role by analyzing vast amounts of medical data to provide comprehensive decision support to healthcare administrators, helping them optimize resource allocation and improve service efficiency.
“We are now entering a new era of AI technology.” The development of large language model technologies has opened up new possibilities across various industries. Yidu Tech has independently developed a large language model specific to the medical field and is advancing its application across the entire healthcare industry chain. The goal is to promote further progress and innovation through new AI technologies. However, Ms. Gong also emphasized that the healthcare industry is professional, complex, and sensitive, and the application of new technologies must address challenges such as data security, privacy protection, and ethics.
“Data security and privacy protection are fundamental to the development of AI technology and medical big data technology. We must ensure that all stakeholders are satisfied with compliance, security, accessibility, and privacy protection.”
“AI technology still has a long way to go.” She called on policymakers, healthcare institutions, and technology companies to work together to realize the immense potential of healthcare data. Ms. Gong highlighted that building trust is key, and enhancing data operability is essential to fully unleash the power of data. “It’s not just about better data quality; it’s about a better future for health.”

View original content:https://www.prnewswire.co.uk/news-releases/transforming-healthcare-with-ai-yidu-techs-gong-rujing-at-summer-davos-302186561.html

Continue Reading

Trending