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The US deep learning market is projected to grow by USD 5.01 billion from 2024 to 2029 at a CAGR of 30.1%. Key drivers include industry-specific solutions, AI adoption, and increased startup entry. The report offers insights into market size, trends, and vendor analysis covering 25 vendors, including AMD, Google, and NVIDIA.
Dublin, Aug. 08, 2025 (GLOBE NEWSWIRE) — The “Deep Learning Market in the US 2025-2029” has been added to ResearchAndMarkets.com’s offering.
The U.S. deep learning market is poised for significant expansion, projected to increase by USD 5.01 billion between 2024-2029, with an impressive CAGR of 30.1% during this period. This comprehensive report delves into holistic market analysis, including size, trends, growth drivers, challenges, and a vendor overview covering approximately 25 vendors.
The report provides an up-to-date examination of the present market scenarios, highlighting key trends and growth drivers. Industry-specific solutions, a heightened focus on neuroscience-based deep learning, and the increasing emergence of startups are significant driving forces behind this growth.
The report highlights the increased adoption of AI as a pivotal trend contributing to the market’s growth. As industries seek to integrate AI-driven solutions, demand surges for deep learning technologies that offer enhanced performance and efficiency. Industry-specific solutions have emerged as a critical driver, enabling businesses to tailor AI applications to their unique needs, thereby increasing operational efficiency and competitive advantage.
As the deep learning market continues to evolve, companies are investing in innovation and technology development to address the rising demand for sophisticated AI solutions. This trend underscores the significance of deep learning in transforming industries and setting new standards for technology integration and application.
For stakeholders within the industry and potential investors, this report offers vital insights into the current state and future trajectory of the deep learning market. It outlines emerging trends, significant market drivers, and an exhaustive analysis of key players who are shaping the future of AI and deep learning technologies. By understanding these elements, businesses can better navigate the complex landscape, aligning their strategies to leverage growth opportunities effectively.
Key Topics Covered:
1 Executive Summary
2 Market Analysis
2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
2.2 Criticality of inputs and Factors of differentiation
2.3 Factors of disruption
2.4 Impact of drivers and challenges
Story Continues
3 Market Landscape
4 Market Sizing
5 Historic Market Size
5.1 Deep Learning Market in US 2019 – 2023
5.2 Application segment analysis 2019 – 2023
5.3 Type segment analysis 2019 – 2023
5.4 End-user segment analysis 2019 – 2023
6 Qualitative Analysis
7 Five Forces Analysis
7.1 Five forces summary
7.2 Bargaining power of buyers
7.3 Bargaining power of suppliers
7.4 Threat of new entrants
7.5 Threat of substitutes
7.6 Threat of rivalry
7.7 Market condition
8 Market Segmentation by Application
8.1 Market segments
8.2 Comparison by Application
8.3 Image recognition – Market size and forecast 2024-2029
8.4 Voice recognition – Market size and forecast 2024-2029
8.5 Video surveillance and diagnostics – Market size and forecast 2024-2029
8.6 Data mining – Market size and forecast 2024-2029
8.7 Market opportunity by Application
9 Market Segmentation by Type
9.1 Market segments
9.2 Comparison by Type
9.3 Software – Market size and forecast 2024-2029
9.4 Services – Market size and forecast 2024-2029
9.5 Hardware – Market size and forecast 2024-2029
9.6 Market opportunity by Type
10 Market Segmentation by End-user
10.1 Market segments
10.2 Comparison by End-user
10.3 Security – Market size and forecast 2024-2029
10.4 Automotive – Market size and forecast 2024-2029
10.5 Healthcare – Market size and forecast 2024-2029
10.6 Retail and commerce – Market size and forecast 2024-2029
10.7 Others – Market size and forecast 2024-2029
10.8 Market opportunity by End-user
11 Customer Landscape
12 Drivers, Challenges, and Opportunity/Restraints
13 Competitive Landscape
14 Competitive Analysis
14.1 Companies profiled
14.2 Company ranking index
14.3 Market positioning of companies
14.4 Advanced Micro Devices Inc.
14.5 Amazon.com Inc.
14.6 Deep Instinct
14.7 Google LLC
14.8 H2O.ai Inc.
14.9 Hewlett Packard Enterprise Co.
14.10 Intel Corp.
14.11 International Business Machines Corp.
14.12 Microsoft Corp.
14.13 Mphasis Ltd.
14.14 NVIDIA Corp.
14.15 OMRON Corp.
14.16 Qualcomm Inc.
14.17 Samsung Electronics Co. Ltd.
14.18 Teledyne CARIS
15 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/uf02mv
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