The latest report by IMARC Group, titled “Deep Learning Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022- 2027,” offers a comprehensive analysis of the industry, which comprises insights on the global Deep Learning Market Report. The report also includes competitor and regional analysis, and contemporary advancements in the market. The global deep learning market reached a value of US$ 12 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 84.8 Billion by 2027, exhibiting a CAGR of 39.8% during 2022-2027. Deep learning is a subset of machine learning (ML) in the field of artificial intelligence (AI), which imitates the workings of the human brain for processing big data and creating patterns. Also known as a deep neural network, it plays a vital role in data science, which includes statistics and predictive modeling. As a result, deep learning is widely employed in different industries, such as media, finance, medical, aerospace, defense and advertising, across the globe. For instance, it is used in driverless cars for recognizing a stop sign or distinguishing pedestrians from lampposts. Besides this, it assists in controlling consumer devices like tablets, smartphones, televisions and hands-free speakers.
As the novel coronavirus (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the purchase behaviors of the consumers globally–our estimates about the latest market trends and forecast values after considering the impact of this pandemic. These observations will be integrated into the report.
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Global Deep Learning Market Trends:
The market is currently experiencing growth owing to the expanding applications of deep learning solutions in cybersecurity, database management and fraud detection systems. Additionally, they are employed in the healthcare sector to process medical images for disease diagnosis and offer virtual patient assistance, which in turn is strengthening the market growth. Apart from this, the burgeoning information technology (IT) sector, in confluence with the increasing trend of digitalization, is boosting the sales of deep learning solutions across the globe. Furthermore, the integration of these solutions with big data analytics and cloud computing is bolstering the market growth. Moreover, leading vendors in the industry are focusing on increasing research and development (R&D) activities to introduce improved hardware and software processing technologies for deep learning.
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Global Deep Learning Market 2022- 2027 Analysis and Segmentation:
Competitive Landscape with Key Players:
- Amazon Web Services (Amazon.com Inc.)
- Google LLC
- International Business Machines (IBM) Corporation
- Intel Corporation
- Micron Technology, Inc.
- Microsoft Corporation
- Nvidia Corporation
- Qualcomm Incorporated
- Samsung Electronics Co. Ltd.
- Sensory Inc.
- Pathmind, Inc.
- Xilinx, Inc.
Breakup by Product Type:
Breakup by Application:
- Image Recognition
- Signal Recognition
- Data Mining
Breakup by End-Use Industry:
Breakup by Architecture:
Breakup by Region:
- Asia Pacific
- Middle East and Africa
- Latin America
Key Highlights of the Report:
- Market Performance (2016-2021)
- Market Outlook (2022- 2027)
- Porter’s Five Forces Analysis
- Market Drivers and Success Factors
- SWOT Analysis
- Value Chain
- Comprehensive Mapping of the Competitive Landscape
Note: If you need specific information that is not currently within the scope of the report, we can provide it to you as a part of the customization.
IMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.
IMARC’s information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company’s expertise.
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