Deep learning market worth US$152.24 billion by 2025

Global Deep Learning Market: Overview

The global deep learning market is expected to grow from US$11.33 billion in 2020 to US$152.24 billion by 2028. This suggests that the deep learning market is expected to register growth at a CAGR of 38.6% over the forecast period from 2021 to 2028.

Deep learning technology is gaining adoption due to its data-driven applications such as image and voice recognition. With the increase in internet penetration across the globe, the amount of data generated by businesses operating across a wide range of industries has increased dramatically. This factor translates into profitable avenues for companies operating in the global deep learning market.

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Companies from different end-use industries such as legal, automotive, retail, agriculture, security, marketing, manufacturing, human resources and healthcare are increasingly using services based on the cloud. This factor creates opportunities for revenue generation in the global deep learning market. Further, the deep learning market is driven by the growing requirement for machine-human interactions with enhanced capabilities and solutions.

The volume of unstructured data has increased in recent years. This factor propels the global deep learning market. In addition, the rise in deep learning applications for data mining, language translations, and image/speech recognition is expected to boost the sales prospects in the deep learning market. The increase in the number of humanoid robots is fueling the demand opportunities in the deep learning market.

Companies operating in the global deep learning industry are increasing their investments in order to develop deep learning and machine learning applications. Additionally, several players in the global machine learning market are executing different strategic moves such as mergers, acquisitions, partnerships, and collaborations. These strategies are contributing to the expansion of the global deep learning market.

The scope of deep learning technology crosses the fields of artificial intelligence, machine learning, and big data analytics, but is quite distinct from each of them. In recent years, the application of deep learning technologies has gained great momentum in the development of autonomous systems that help in making decisions and solving problems. Using the massive amount of data powered by neural networks, it has the potential to solve just about every problem in the way humans think and decide. Deep learning can be viewed as a very specific subset of machine learning tools that focus on the development of neural networks, which essentially expands the real-world applications of autonomous systems. The most popular applications of deep learning are in the business-to-consumer (B2C) arena and would benefit a wide range of industries that are constantly looking to leverage these systems to increase consumer satisfaction.

Self-driving cars using deep learning technologies have already gained traction with several tech giants and leading automakers. This showed promising prospects in the automobile and automobile industries, with the option of driverless cars in the not so distant future. Another attractive application of deep learning is to make sense of unstructured data emanating from a wide range of smart consumer products and services. With the proliferation of IoT devices, organizational data volumes are expected to reach unmanageable levels in the coming years. Autonomous systems using deep learning will transform this data and transform it to provide meaningful insights and ultimately into useful business insights. Driven by advances in natural language processing, this will pave the way for data-driven decisions.

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Global Deep Learning Market: Overview

Deep learning is an approach to artificial intelligence that is expected to revolutionize several industries. For example, deep learning is used for voice and image recognition by Google, promoting what to watch next by Netflix, and highlighting related products to potential customers by Amazon. As the deep learning technology evolves, many new applications are expected and hence the demand in the global deep learning market is expected to witness a robust growth rate during the forecast period from 2017 to 2025.

This Global Deep Learning Market report aims to render a comprehensive overview of the current scenario and based on an analysis of all factors that are likely to impact the growth rate, it estimates the future of the market to 2024. The report also selects a few trends worth noting to stay ahead of the competition. It also contains a section dedicated to company profiles, in which a number of key players have been studied for their market share, regional presence and recent strategic developments. The global deep learning market can be segmented on the basis of application into image recognition, signal recognition and data mining while on the basis of supply the market can be divided into hardware and software. By end-use industry, the market can be categorized into aerospace and defense, automotive, medical, finance, retail, media and advertising, IT and telecommunications, and oil, gas and energy. Geographically, the report studies the opportunities available in regions such as North America, Europe, Asia-Pacific, Middle East and Africa.

Global Deep Learning Market: Trends and Opportunities

The growing application of deep learning in several industries including advertising, automotive, and healthcare is the major driver of the market. In addition to this, the rigorous research and development currently underway should advance the technology and capability of processing equipment so that other industries can improve their production. Rising need to discover useful insights from available information, growing need for improved human and system interaction, and demand for more decision and process insights are other factors driving the growth rate of the market . Conversely, lack of experienced talent is expected to hamper the growth to some extent over the forecast period.

Currently, data mining is the most profitable application segment in the global market, which reflects the growing use of deep learning in cybersecurity, database systems, data analytics and fraud detection. In terms of end-use industries, the medical segment is expected to develop at the best growth rate, in which deep learning is used to process medical images for diagnosis, drug discovery and assistive purposes. virtual to patients. In terms of application, the image recognition segment meets maximum demand in the current market scenario. Deep learning is used for pattern recognition, code recognition, optical character recognition, facial recognition, and digital image processing.

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Global Deep Learning Market: Outlook by Region

The North America region meets the maximum demand for deep learning, which is the result of the high adoption rate of new technologies in the developed countries of the United States and Canada. In these countries, public funding is readily available and several prominent players have their headquarters. The United States national market has encouraged deep learning technology within organizations to protect content from hacks and data breaches, cyberattacks, protect against data loss and negotiate with security threats Web and network.

Companies cited in the research report

Google, Inc., IBM Corporation, Microsoft Corporation, Facebook, Inc. and Qualcomm, Inc. are some of the major players currently operating in the global deep learning market while several new players with power finance should join this evolving sector.

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