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The US - Deep Learning Market size is estimated to grow at a CAGR of 29.19% between 2022 and 2027. The market size is forecast to increase by USD 3,315.16. The growth of the market depends on several factors, including industry-specific solutions, increased focus on neuroscience-based deep learning and increasing entry of startups. Deep learning is a subfield of artificial intelligence (AI) and machine learning that focuses on the development and training of neural networks, particularly deep neural networks, to perform tasks that traditionally require human intelligence. Deep learning has a wide range of applications, including computer vision (e.g., object detection and image segmentation), natural language processing (e.g., machine translation and sentiment analysis), speech recognition, recommendation systems, autonomous vehicles, and more.
This US deep learning market report extensively covers market segmentation by application (image recognition, voice recognition, video surveillance and diagnostics, and data mining), type (software, services, and hardware), and end-user (security, automotive, healthcare, retail and commerce, and others). It also includes an in-depth analysis of drivers, trends, and challenges. Furthermore, the report includes historic market data from 2017 to 2021.
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Industry-specific solutions are notably driving market growth. Deep learning has been instrumental in developing industry-specific solutions across various end-user sectors. Its ability to analyze complex data, recognize patterns, and make predictions has led to innovative applications tailored to the unique needs of different industries, including healthcare, retail, and manufacturing which became a major factor for the US - deep learning market expansion.
In addition, as deep learning technology continues to advance, it will likely lead to even more specialized and impactful solutions, driving innovation and addressing complex challenges across sectors, which will have a positive impact on the growth of the deep learning market in US during the forecast period.
Increased adoption of AI is an emerging trend shaping the market growth. As organizations recognize the transformative potential of AI, including deep learning, they are investing in AI-related technologies and software to gain a competitive edge. Deep learning is particularly effective in tasks that require complex pattern recognition and decision-making. Businesses are increasingly seeking industry-specific AI solutions that leverage deep learning models to address unique challenges and opportunities. These solutions span sectors such as healthcare, finance, manufacturing, and retail. Deep learning enables businesses to extract valuable insights from data and automate complex tasks.
Moreover, as AI continues to transform industries and becomes more integral to business operations, the demand for deep learning solutions is expected to expand further, which is expected to have a positive impact on the growth of the US - deep learning market growth. Such factors are expected to drive the market growth during the forecast period.
High data requirements are a significant challenge hindering market growth. The high data requirements of deep learning technology can present challenges in terms of data acquisition, storage, and processing. While the huge volume of data used by deep learning technology is one of its strengths, it can also be a limitation in certain contexts. Deep learning often requires access to sensitive and private or confidential data. Ensuring data privacy and compliance with regulations like the EU General Data Protection Regulation (GDPR) can be challenging, especially when dealing with personal or healthcare-related data. Deep learning models can struggle with imbalanced datasets, where one class or category has significantly fewer examples than others. This can lead to biased model predictions and suboptimal performance.
However, storing large datasets and training deep learning models on them can be resource-intensive, leading to higher operational costs which is expected to have a negative impact on the growth of the US - deep learning market growth. This can be a concern for organizations with limited budgets as it may prevent them from deploying deep learning solutions, which may hamper the growth of the market during the forecast period.
The market share growth by image recognition segment will be significant during the forecast period. Image recognition, a subset of computer vision, involves the use of artificial intelligence (AI) and machine learning algorithms to analyze and interpret visual data from images and videos. Image recognition is used in applications like visual search, product recommendations, and inventory management. End-users can take photographs of products to find similar items, making online shopping more convenient.
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The image recognition segment was the largest and was valued at USD 244.06 million in 2017. In the automotive industry, image recognition is essential in advanced driver assistance systems (ADAS) and autonomous vehicles, as it helps in identifying pedestrians, other vehicles, road signs, and lane markings. Deep learning, particularly convolutional neural networks (CNNs), has proven to be exceptionally effective at solving image recognition and computer vision problems. The growing demand for image recognition solutions across different industries leads to increased investments in deep learning research and development, fostering innovation and the creation of specialized solutions, which will boost the growth of the deep learning market in US during the forecast period.
Deep learning software refers to the category of computer programs and frameworks that are designed to facilitate the development, training, and deployment of deep neural networks for artificial intelligence (AI) and machine learning tasks. The rising demand for deep learning software has led to a competitive landscape with numerous software providers, open-source frameworks, and cloud-based AI platforms offering deep learning solutions. This competition drives further innovation and accessibility, making it easier for organizations to integrate deep learning solutions into their operations and products, which will have a positive impact on the growth of the deep learning market in US during the forecast period.
The US Deep Learning Market report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
US Deep Learning Market Customer Landscape
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
Advanced Micro Devices Inc. - The company offers deep learning solutions through Edge AI Platform and PYNQ Python on Zynq.
Alphabet Inc. - The company offers deep learning solutions through Google Cloud AI Platform and TensorFlow frameworks.
Amazon.com Inc. - The company offers deep learning solutions such as AWS Deep Learning AMIs which provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning on Amazon EC2.
The research report also includes detailed analyses of the competitive landscape of the market and information about 15 market companies, including:
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key market players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
The US deep learning market report forecasts market growth by revenue and provides an analysis of the latest trends and growth opportunities from 2017 to 2027.
US Deep Learning Market Scope |
|
Report Coverage |
Details |
Page number |
155 |
Base year |
2022 |
Historic period |
2017-2021 |
Forecast period |
2023-2027 |
Growth momentum & CAGR |
Accelerate at a CAGR of 29.19% |
Market growth 2023-2027 |
USD 3,315.16 million |
Market structure |
Fragmented |
YoY growth 2022-2023(%) |
19.45 |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
Key companies profiled |
Advanced Micro Devices Inc., Alphabet Inc., Amazon.com Inc., Bacancy Technology Pvt. Ltd., Deep Instinct, H2O.ai Inc., Hewlett Packard Enterprise Co., Intel Corp., International Business Machines Corp., Microsoft Corp., Mphasis Ltd., OMRON Corp., Qualcomm Inc., Samsung Electronics Co. Ltd., Teledyne Technologies Inc., and NVIDIA Corp. |
Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, Market condition analysis for the forecast period. |
Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
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