Deep learning market Size
Improving computing power, declining hardware cost, and increasing adoption of cloud-based technology propel the growth of the global deep learning market.
PORTLAND, PORTLAND, OR, UNITED STATES, July 19, 2023/EINPresswire.com/ — According to the report, the global deep learning industry generated $6.85 billion in 2020, and is expected to reach $179.96 billion by 2030, witnessing a CAGR of 39.2% from 2021 to 2030.
Increase in computing power, decline in hardware costs, adoption of cloud-based technology, and usage in big data analytics drive the growth of the global deep learning market. However, surge in complexity in hardware due to complex algorithm, lack of technical expertise, and absence of standards and protocols hinders the market growth. On the other hand, cumulative spending in the healthcare, travel, tourism, and hospitality industries present new opportunities in the coming years.
Request Sample Report at: https://www.alliedmarketresearch.com/request-sample/5815
Covid-19 Scenario:
• During the Covid-19 pandemic, the demand for deep learning witnessed a significant rise for the implementation of digital voice assistance by businesses to help their customers. In addition, rise in focus on virtual reality and augmented technologies by various key market players of different countries led to increased adoption of deep learning algorithms.
• The deep learning market experienced growth during the pandemic, due to rise in demand for anti-money laundering (AML), fraud detection solutions, and other solutions to prevent fraud related to money.
• Deep learning methods have been used to track the spread of coronavirus and take preventive measures and implement regulations to tackle the spread.
Based on industry vertical, the security segment accounted for the highest share in 2020, contributing to nearly one-fifth of the global deep learning market, and is expected to continue its leadership status during the forecast period. This is due to the identification of more advanced malware & threats and detection of unusual activities that may signal the existence of rogue actors. However, the healthcare segment is estimated to witness the largest CAGR of 42.0% from 2021 to 2030. This is attributed to the empowerment of the sector with its advanced & vast library of specialized algorithms and lightening computational power.
For Report Customization: https://www.alliedmarketresearch.com/request-for-customization/5815
Based on region, North America held the highest market share in 2020, contributing to nearly two-fifths of the global deep learning industry, and is expected to maintain its dominant share in terms of revenue by 2030. This is due to increase in investments in deep learning start-ups and surge in popularity of deep learning technology among end users. However, Asia-Pacific is projected to portray the highest CAGR of 40.9% during the forecast period. This is due to increased utilization of deep learning algorithms with rise in digitalization in healthcare, telecommunication, automotive, and banking, financial services and insurance (BFSI) sectors.
Based on region, North America held the highest market share in 2020, contributing to nearly two-fifths of the global deep learning industry, and is expected to maintain its dominant share in terms of revenue by 2030. This is due to increase in investments in deep learning start-ups and surge in popularity of deep learning technology among end users. However, Asia-Pacific is projected to portray the highest CAGR of 40.9% during the forecast period. This is due to increased utilization of deep learning algorithms with rise in digitalization in healthcare, telecommunication, automotive, and banking, financial services and insurance (BFSI) sectors.
Buy the Complete Report (286 Pages PDF with Insights, Charts, Tables, and Figures) at:
https://www.alliedmarketresearch.com/checkout-final/b725c4745bf76dc4641d50e2e2805896
The key players profiled in the deep learning market analysis are Advanced Micro Devices Inc., Amazon Web Services, Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung, and Xilinx. These players have adopted various strategies to increase their market penetration and strengthen their position in the deep learning industry.
Key Benefits For Stakeholders:
• The study provides an in-depth analysis of the global deep learning market forecast along with current & future trends to explain the imminent investment pockets.
• Information about key drivers, restraints, & opportunities and their impact analysis on global deep learning market trends is provided in the report.
• Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
• The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
Inquiry Before Buying: https://www.alliedmarketresearch.com/purchase-enquiry/5815
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, Europe, or Asia.
If you have any special requirements, please let us know and we will offer you the report as per your requirements.
Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into the market dynamics and will enable strategic decision-making for the existing market players as well as those willing to enter the market.
Other Trending Report:
1. Machine learning as a Service Market
About Us:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP, based in Portland, Oregon. AMR provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients in making strategic business decisions and achieving sustainable growth in their respective market domains.
AMR launched its user-based online library of reports and company profiles, Avenue. An e-access library is accessible from any device, anywhere, and at any time for entrepreneurs, stakeholders, researchers, and students at universities. With reports on more than 60,000 niche markets with data comprising of 600,000 pages along with company profiles on more than 12,000 firms, Avenue offers access to the entire repository of information through subscriptions. A hassle-free solution to clients’ requirements is complemented with analyst support and customization requests.
Contact:
David Correa
5933 NE Win Sivers Drive
#205, Portland, OR 97220
United States
Toll-Free: 1-800-792-5285
UK: +44-845-528-1300
Hong Kong: +852-301-84916
India (Pune): +91-20-66346060
Fax: +1-855-550-5975
help@alliedmarketresearch.com
Web: https://www.alliedmarketresearch.com
Follow Us on: LinkedIn Twitter
Allied Market Research
Allied Market Research
+1 800-792-5285
email us here
Visit us on social media:
Facebook
Twitter
LinkedIn
