Product Code: GVR-1-68038-466-6
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.
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.
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Research Methodology
- 1.2.1. Information Procurement
- 1.3. Information or Data Analysis
- 1.4. Methodology
- 1.5. Research Scope and Assumptions
- 1.6. Market Formulation & Validation
- 1.7. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. Deep Learning Market Variables, Trends, & Scope
- 3.1. Market Lineage Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Industry Challenge
- 3.3. Deep Learning Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Bargaining power of the suppliers
- 3.3.1.2. Bargaining power of the buyers
- 3.3.1.3. Threats of substitution
- 3.3.1.4. Threats from new entrants
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic and Social landscape
- 3.3.2.3. Technological landscape
Chapter 4. Deep Learning Market: Solution Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Deep Learning Market: Solution Movement Analysis, 2024 & 2030 (USD Million)
- 4.3. Hardware
- 4.3.1. Hardware Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.3.1.1. CPU
- 4.3.1.2. GPU
- 4.3.1.3. FPGA
- 4.3.1.4. ASIC
- 4.4. Software
- 4.4.1. Software Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.5. Services
- 4.5.1. Services Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.5.1.1. Installation services
- 4.5.1.2. Integration services
- 4.5.1.3. Maintenance & support services
Chapter 5. Deep Learning Market: Application Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Deep Learning Market: Application Movement Analysis, 2024 & 2030 (USD Million)
- 5.3. Image recognition
- 5.3.1. Image recognition Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.4. Voice recognition
- 5.4.1. Voice recognition Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.5. Video surveillance & diagnostics
- 5.5.1. Video surveillance & diagnostics Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.6. Data Mining
- 5.6.1. Data Mining Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 6. Deep Learning Market: End Use Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Deep Learning Market: End Use Movement Analysis, 2024 & 2030 (USD Million)
- 6.3. Automotive
- 6.3.1. Automotive Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.4. Aerospace & defense
- 6.4.1. Aerospace & defense Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.5. Healthcare
- 6.5.1. Healthcare Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.6. Retail
- 6.6.1. Retail Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.7. Other
- 6.7.1. Other Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 7. Deep Learning Market: Regional Estimates & Trend Analysis
- 7.1. Deep Learning Market Share, By Region, 2024 & 2030 (USD Million)
- 7.2. North America
- 7.2.1. North America Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.1.1. North America Deep Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
- 7.2.1.2. North America Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.2.1.3. North America Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.2.1.4. North America Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.2.2. U.S.
- 7.2.2.1. U.S. Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.2.2. U.S. Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.2.2.3. U.S. Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.2.2.4. U.S. Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.2.3. Canada
- 7.2.3.1. Canada Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.2.3.2. Canada Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.2.3.3. Canada Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.2.4. Mexico
- 7.2.4.1. Mexico Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.2.4.2. Mexico Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.2.4.3. Mexico Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.3. Europe
- 7.3.1. Europe Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.1.1. Europe Deep Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
- 7.3.1.2. Europe Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.3.1.3. Europe Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.3.1.4. Europe Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.3.2. UK
- 7.3.2.1. UK Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.3.2.2. UK Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.3.2.3. UK Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.3.3. Germany
- 7.3.3.1. Germany Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.3.3.2. Germany Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.3.3.3. Germany Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.3.4. France
- 7.3.4.1. France Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.3.4.2. France Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.3.4.3. France Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4. Asia Pacific
- 7.4.1. Asia Pacific Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.1.1. Asia Pacific Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.1.2. Asia Pacific Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.1.3. Asia Pacific Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4.2. China
- 7.4.2.1. China Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.2.2. China Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.2.3. China Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.2.4. China Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4.3. Japan
- 7.4.3.1. Japan Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.3.2. Japan Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.3.3. Japan Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4.4. India
- 7.4.4.1. India Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.4.2. India Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.4.3. India Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4.5. South Korea
- 7.4.5.1. South Korea Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.5.2. South Korea Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.5.3. South Korea Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.4.6. Australia
- 7.4.6.1. Australia Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.4.6.2. Australia Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.4.6.3. Australia Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.5. Latin America
- 7.5.1. Latin America Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5.1.1. Latin America Deep Learning Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
- 7.5.1.2. Latin America Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.5.1.3. Latin America Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.5.1.4. Latin America Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.5.2. Brazil
- 7.5.2.1. Brazil Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5.2.2. Brazil Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.5.2.3. Brazil Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.5.2.4. Brazil Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.6. Middle East and Africa
- 7.6.1. Middle East and Africa Deep Learning Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.1.1. Middle East and Africa Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.6.1.2. Middle East and Africa Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.6.1.3. Middle East and Africa Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.6.2. UAE
- 7.6.2.1. UAE Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.6.2.2. UAE Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.6.2.3. UAE Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.6.3. KSA
- 7.6.3.1. KSA Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.6.3.2. KSA Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.6.3.3. KSA Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
- 7.6.4. South Africa
- 7.6.4.1. South Africa Deep Learning Market Estimates and Forecasts, by Solution, 2018 - 2030 (USD Million)
- 7.6.4.2. South Africa Deep Learning Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
- 7.6.4.3. South Africa Deep Learning Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
Chapter 8. Competitive Landscape
- 8.1. Company Categorization
- 8.2. Company Market Positioning
- 8.3. Participant's Overview
- 8.4. Financial Performance
- 8.5. Product Benchmarking
- 8.6. Company Heat Map Analysis
- 8.7. Strategy Mapping
- 8.8. Company Profiles/Listing
- 8.8.1. Advanced Micro Devices, Inc.
- 8.8.2. ARM Ltd.
- 8.8.3. Clarifai, Inc.
- 8.8.4. Entilic
- 8.8.5. Google, Inc.
- 8.8.6. HyperVerge
- 8.8.7. IBM Corporation
- 8.8.8. Intel Corporation
- 8.8.9. Microsoft Corporation
- 8.8.10. NVIDIA Corporation