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The US Deep Learning Market size is estimated to increase by USD 3.54 billion and grow at a CAGR of 27.17% between 2023 and 2028. The artificial intelligence industry is experiencing significant growth and innovation, with a key offering being industry-specific solutions tailored to meet unique business needs. Neuroscience-based deep learning is gaining increasing focus, as companies seek to develop more advanced and human-like AI systems. The entry of startups is also driving competition and innovation in the field, leading to new applications and use cases for AI technology. Industry leaders are investing heavily in research and development to stay ahead of the curve and deliver cutting-edge solutions to their clients. These advancements are transforming various sectors, from healthcare and finance to manufacturing and retail, by automating processes, improving efficiency, and enhancing customer experiences.
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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 265.10 million in 2018. 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 market is propelled by advancements in data centers and cloud-based technology, enabling robust processing capabilities for graphics processing units (GPUs) and robots. Applications in cybersecurity and industrial automation leverage machine vision technology and self-driving vehicles, integrating virtual assistance for enhanced operational efficiencies. Innovations such as news accumulation, digital marketing, and image and visual recognition benefit from Generative Adversarial Networks (GANs) and big-data analytics. This market explores cutting-edge technologies like human brain cells generated information to push the boundaries of AI, fostering solutions that redefine industries through sophisticated learning algorithms and neural networks. Data center play a critical role in supporting the infrastructure for cloud based technology and cybersecurity applications, essential components for the development and deployment of self driving vehicles.
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 market 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 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.
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 market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in "USD Billion" for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.
Deep Learning Market: Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, UK, Canada, Germany - Size and Forecast
Deep Learning Chips Market: Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Germany, China, UK, Taiwan - Size and Forecast
Machine Learning (ML) Market: Analysis North America, Europe, APAC, Middle East and Africa, South America - US, China, UK, Germany, Japan - Size and Forecast
In the United States, the market experiences dynamic growth, driven by the proliferation of machine learning technology and its diverse applications in understanding human behavior and processing data from human brain cells-generated information. This technology excels in performing complex classification tasks across various data formats like photos, text, and audio, automating tasks such as annotating photographs and transcribing audio files. Factors such as continuing power, declining hardware costs, and the advent of cloud-based technology propel market growth, meeting organizational demand and fueling innovation in sectors like manufacturing and industry, energy management, and cybersecurity. With its vast potential in data analysis and applications across diverse domains like medical imaging and supply chain management, Deep Learning remains pivotal in shaping the future of technology in the US.
The market in the United States is undergoing a transformative phase, driven by key elements such as automation and its impact on reshaping traditional jobs. This evolution is further fueled by factors like declining hardware costs and the rapid proliferation of Internet of Things (IoT) devices, revolutionizing industries through advanced capabilities in data mining segment and fraud detection. Deep Learning technologies are reshaping IT infrastructure with innovative model architectures and pre-trained models, while concepts like transfer learning and explainable artificial intelligence (XAI) are gaining prominence. The integration of deep neural network architectures and recurrent neural networks (RNNs) is enhancing efficiency and enabling advanced capabilities in cloud-analytics. With its widespread adoption across sectors like education institutes and the ICT sector, Deep Learning is driving breakthroughs in image and video analysis, natural language processing (NLP), and autonomous systems such as image classification, facial recognition, and video content understanding.
Market Scope |
|
Report Coverage |
Details |
Page number |
162 |
Base year |
2023 |
Historic period |
2018 - 2022 |
Forecast period |
2024-2028 |
Growth momentum & CAGR |
Accelerate at a CAGR of 27.17% |
Market growth 2024-2028 |
USD 3.54 billion |
Market structure |
Fragmented |
YoY growth 2023-2024(%) |
20.99 |
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., NVIDIA Corp., OMRON Corp., Qualcomm Inc., Samsung Electronics Co. Ltd., and Teledyne Technologies Inc. |
Market dynamics |
Parent market analysis, Market Forecasting, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, Market growth and Forecasting, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for market 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. |
We can help! Our analysts can customize this market research report to meet your requirements.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Application
7 Market Segmentation by Type
8 Market Segmentation by End-user
9 Customer Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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