Deep Learning Market Size To Reach $526.7 Billion By 2030

Deep Learning Market Growth & Trends

The global deep learning market size is expected to reach USD 526.7 billion by 2030, registering a CAGR of 31.8% from 2025 to 2030, according to a new report by Grand View Research, Inc. Deep learning is expected to gain sustainable momentum in the coming years owing to its high computational ability and improved complex data-driven applications. The growing emphasis on big data analytics and the adoption of Artificial Intelligence (AI) in customer-centric services is expected to propel the growth of the deep learning industry over the forecast period.

AI has evolved rapidly in recent years, enabling machines to perform cognitive tasks effectively. The adoption of AI across various sectors has unlocked numerous potential opportunities for machine learning and deep learning applications. Furthermore, AI-as-a-service such as virtual assistants has allowed smaller organizations to implement AI algorithms required for deep learning applications without a large capital investment. Moreover, the availability of a large amount of data and the need for high computing power encourage SMEs and large enterprises to invest significantly in deep learning technology.

Deep learning allows the machine to solve complex problems even if the data is not well organized. A deep learning algorithm performs a task repeatedly, every time tweaking it to improve the outcomes. Thus, the more the task performed by the machines, the better will be the outcome. As a result, large amounts of unstructured data can be analyzed using deep learning algorithms and further deployed to obtain relevant insights for a more reliable decision-making process. For instance, organizations may use deep learning technology to unveil any data pointers between industry insights, social media conversation, and a stock price of a given organization.

Image and voice recognition are some of the leading applications in the deep learning industry. Several online and offline services such as Alexa virtual assistant by Amazon, Microsoft Cortana, and Siri use deep learning to acquire language skills while interacting with people. Facebook and Google have implemented deep learning technology for cognitive image analysis in their image classification application. It helps companies provide relevant results and automatic descriptions related to images.

Besides, deep learning algorithms can recreate a black-and-white image in color, offering impressive and accurate results in image colorization applications. For instance, In June 2019, Amazon introduced a new deep learning model called Alexa Conversations to create natural voice experiences on Alexa.

Deep learning offers lucrative investment opportunities for vendors due to the technology's high adoption rate. As a result, the companies consider product development as one of the strategic initiatives to capture the deep learning industry share. Recently, in February 2020, Google Inc. announced the launch of Reformer, an updated version of the transformer deep-learning model. In February 2020, Concentrix Corporation launched the deep learning algorithm tool for cybersecurity applications.

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Deep Learning Market Report Highlights

• The software segment led the deep learning industry and accounted for a revenue share of 46.64% in 2024. The number of software tools for developers has grown significantly over the last few years.

• Image recognition held the largest market share of around 43.38% in 2024. Deep learning, particularly through Convolutional Neural Networks (CNNs), has significantly improved image recognition accuracy.

• The automotive end use segment led the deep learning market with the largest revenue share in 2024. The autonomous vehicle is a revolutionary technology that requires a massive amount of computation power.

• North America deep learning market accounted for the highest revenue share of 33.6% in 2024. This growth is driven by increasing adoption across various sectors, particularly healthcare, automotive, and retail, where deep learning enhances data analysis and operational efficiency.

Deep Learning Market Segmentation

Grand View Research has segmented the global deep learning market on the basis of on solution, application, end-use, and region:

Deep Learning Solution Outlook (Revenue, USD Million, 2018 - 2030)

• Hardware

  • Central Processing Unit (CPU)

  • Graphics Processing Unit (GPU)

  • Field Programmable Gate Array (FPGA)

  • Application-Specific Integration Circuit (ASIC)

• Software

• Services

  • Installation Services

  • Integration Services

  • Maintenance & Support Services

Deep Learning Application Outlook (Revenue, USD Million, 2018 - 2030)

• Image Recognition

• Voice Recognition

• Video Surveillance & Diagnostics

• Data Mining

Deep Learning End-use Outlook (Revenue, USD Million, 2018 - 2030)

• Automotive

• Aerospace & Defense

• Healthcare

• Retail

• Others

Deep Learning Regional Outlook (Revenue, USD Million, 2018 - 2030)

• North America

  • U.S.

  • Canada

  • Mexico

• Europe

  • Germany

  • UK

  • France

• Asia Pacific

  • China

  • India

  • Japan

  • South Korea

  • Australia

• South America

  • Brazil

• Middle East and Africa

  • KSA

  • UAE

  • South Africa

List of Key Players in the Deep Learning Market

• Advanced Micro Devices, Inc.

• ARM Ltd.

• Clarifai, Inc.

• Entilic

• Google, Inc.

• HyperVerge

• IBM Corporation

• Intel Corporation

• Microsoft Corporation

• NVIDIA Corporation