The Deep Learning market is anticipated to reach USD 61.98 Billion by 2028 from USD 6.12 Billion in 2021 by registering a CAGR of 39.2 %.
Deep learning also referred to as deep structured learning is a subset of machine learning and artificial intelligence. It is an important component of data science which contain statistics and predictive modeling. It is very useful for those data scientists who are engaged in collecting, analyzing, and interpreting huge amounts of data, and data learning assists to make this process makes faster and easier.
Deep learning manages several applications of artificial intelligence and services that develop automation, performing analytical, and physical tasks without interruption of humans. Deep learning contains deep neural networks, deep reinforcement learning, deep belief networks, recurrent neural networks, and convolutional neural networks that have been used in various fields like speech recognition, computer vision, natural language processing, drug design, and medical image analysis, machine translation, and bioinformatics. These applications support the growth of the market.
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Prominent Key Players – Covered in the report:
- Advanced Micro Devices (US)
- ARM Ltd (UK)
- Clarifai (US)
- Entilic(US)
- Google (US)
- HyperVerge(US)
- IBM (US)
- Intel (US)
- Microsoft (US)
- NVIDIA (US) and other major players.
These companies are devising key strategies such as acquisitions, merges, collaborations, partnerships, new product launches, regional expansions, and targeting untapped markets to gain competitive advantage over other players working in the market.
Introspective Market Research offers a comprehensive overview of the market through the analysis of key parameters such as revenue, price, competition, and promotions, as well as the study, synthesis, and summarization of data from different sources. It analyzes the leading industry drivers and shows numerous market components. The information offered is thorough, dependable, and the result of a comprehensive primary and secondary study. Introspective Market Research reports offer a comprehensive global market as well as an in-depth strategic sourcing methodology and analysis based on qualitative and quantitative research to anticipate market growth.
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Segmentation of Deep Learning Software market:
By Type:
Software,Hardware,Service
By Application:
Signal Recognition, Image Recognition, Others
Geographic Segment Covered in the Report
- North America (U.S., Canada, Mexico)
- Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
- Asia-Pacific (China, India, Japan, Southeast Asia, Rest of APAC)
- Middle East Africa (GCC Countries, South Africa, Rest of MEA)
- South America (Brazil, Argentina, Rest of South America)
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Reasons to Purchase this Market Report:
- Market forecast analysis through recent trends and SWOT analysis
- Deep Learning Software Market Dynamics Scenarios with Market Growth Opportunities over the Next Year
- Market segmentation analysis, including qualitative and quantitative studies that include economic and non-economic impacts
- Deep Learning Software Market Regional and country-level analysis that integrates demand and supply forces that impact the growth of the market.
- Competitive environment related to the Deep Learning Software market share for key players, along with new projects and strategies that players have adopted over the past five years
Covid 19 impact Analysis on Deep Learning Market
COVID-19 starts in Wuhan (China) in December 2019 and has since rapidly spread throughout the world. In terms of confirmed cases and reported deaths, the US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are among the countries that have been most severely impacted. Due to lockdowns, travel restrictions, and business closures, COVID-19 has had an impact on the businesses and industries of numerous nations. The Covid 19 spread has positively impacted the deep learning market. The adoption of developed technology such as artificial intelligence, learning techniques, machine learning, and DevOps during the pandemic period. Additionally, anti-money laundering (AML), fraud detection solutions, and various other solutions are highly demanded at the time of covid 19. Thus, the Deep learning market had significant growth during the pandemic.
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