“The Business Research Company recently released a comprehensive report on the Global Deep Learning Market Size and Trends Analysis with Forecast 2024-2033. This latest market research report offers a wealth of valuable insights and data, including global market size, regional shares, and competitor market share. Additionally, it covers current trends, future opportunities, and essential data for success in the industry.
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According to The Business Research Company’s, The deep learning market size has grown exponentially in recent years. It will grow from $17.97 billion in 2023 to $25.15 billion in 2024 at a compound annual growth rate (CAGR) of 40.0%. The growth in the historic period can be attributed to global investments and funding, adoption in autonomous systems, focus on explainability and interpretability, emergence of generative models, growth of edge computing..
The deep learning market size is expected to see exponential growth in the next few years. It will grow to $100.02 billion in 2028 at a compound annual growth rate (CAGR) of 41.2%. The growth in the forecast period can be attributed to global economic and geopolitical factors, security and robustness improvements, hybrid and federated learning approaches, expansion into new industry verticals, increasing adoption in healthcare.. Major trends in the forecast period include augmentation of human abilities, quantum computing for deep learning, cross-industry collaborations and open source contributions, hybrid cloud and multi-cloud deployments, enhanced computer vision applications, responsible ai and ethical considerations..
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Market Drivers and Trends:
Increasing adoption of cloud-based services is significantly contributing to the growth of the deep learning market. Cloud-based services have advanced significantly, to the point that they can now provide enterprises with the ability to run their whole business through their cloud-based platforms. As a result, businesses are increasingly convinced that transferring their tasks from on-premises to cloud-based frameworks. For instance, according to a report by Harvard Business Review Analytic Services on cloud computing, over 74% of organizations believe that cloud computing gives them a competitive advantage over their competitors. Therefore, the increasing adoption of cloud-based services is expected to increase the demand for the deep learning market during the forecast period.
Product innovations have emerged as the key trend gaining popularity in the 5G chipset market. The major players in the market are developing innovative products for market growth. For instance, in June 2021, Samsung Electronics, a South Korea-based electronics company, developed 3GPP Rel.16 compliant chipsets, a range of next-generation 5G chipsets that deliver cutting-edge 5G technologies. The new chipsets consist of a second-generation 5G modem System-on-Chip (SoC), a third-generation mmWave Radio Frequency Integrated Circuit (RFIC) chip, and a Digital Front End (DFE)-RFIC integrated chip. These are designed to increase power efficiency, boost performance, and reduce the size of 5G solutions.
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Major Key Players of the Market:
Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation, Micron Technology, NVIDIA Corporation, Advanced Micro Devices Inc., Wave Computing Inc., Cerebras Systems Inc., Mythic, Sensory Inc., H2O. ai, KNIME (Konstanz Information Miner), Dataiku, Databricks Inc., Veritone Inc., DataRobot Inc., SoundHound AI, Unity Technologies, Interactions LLC, Convoy Inc., Heartflow Inc., Imandra Inc., MindsDB SF AI Learning, Neteera Technologies, Clarifai Inc., Orbital Insight, Eko India Financial Services Pvt. Ltd., CHARM Therapeutics, NoTraffic U. S. Inc.
Deep Learning Market 2024 Key Insights:
• The deep learning market size is expected to see exponential growth in the next few years. It will grow to $100.02 billion in 2028 at a compound annual growth rate (CAGR) of 41.2%.
• Cloud-Based Services Drive The Growth Of The Deep Learning Market
• The Rise Of Edge Intelligence In Deep Learning
• North America was the largest region in the deep learning market in 2023
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This release was published on openPR.