The Business Research Company’s report on the Deep Learning Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the primary drivers fueling the growth of the deep learning market in recent years?
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.
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What is the projected market size of the deep learning industry, and how is it expected to grow?
The deep learning market size has grown exponentially in recent years. It will grow from $24.71 billion in 2024 to $34.29 billion in 2025 at a compound annual growth rate (CAGR) of 38.8%. The growth in the historic period can be attributed to global investments and funding, adoption in autonomous systems, focus on explain ability 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 $144.64 billion in 2029 at a compound annual growth rate (CAGR) of 43.3%. 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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Who are the key players driving competition in the deep learning market?
Major companies operating in the deep learning market include Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Advanced Micro Devices 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, Heartflow Inc., Imandra Inc., MindsDB SF AI Learning, Neteera Technologies, Clarifai Inc., Orbital Insight, CHARM Therapeutics, NoTraffic U. S. Inc.
What key trends are expected to drive the decorative concrete market during the forecast period?
Increased use of edge intelligence has emerged as a popular trend in the deep learning market. Edge intelligence, also known as edge Artificial Intelligence (AI), is a blend of AI and edge computing that allows machine learning algorithms to be deployed to the edge device where data is generated. Edge intelligence could give AI to any person or organization, at any time and in any location. For instance, according to the Swiss-based AI tech company, Viso. ai by 2025, 80 billion IoT devices and sensors will be online, with over 50 billion connected to the internet.
Which key geographies are driving the growth of the deep learning market?
North America was the largest region in the deep learning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
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What are the key segments driving growth in the deep learning market?
The deep learning market covered in this report is segmented –
1) By Product: Hardware, Software, Services
2) By Application: Image Recognition, Signal Recognition, Data Mining
3) By End User: BFSI, Automotive, Telecom and Media, Retail, Manufacturing, Healthcare, Other End Users
Subsegments:
1) By Hardware: GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), ASICs (Application-Specific Integrated Circuits), Edge Devices
2) By Software: Deep Learning Frameworks, Model Training And Development Tools, Data Management And Preprocessing Tools, Deployment And Monitoring Software
3) By Services: Consulting Services, Training And Education Services, Managed Services, Support And Maintenance Services
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What defines the structure and scope of the deep learning market?
Deep learning refers to a system with a collection of machine learning algorithms that models high-level abstractions in data through an architecture consisting of multiple non-linear transformations, carries out engineering activities on their own, processes a huge volume of unstructured data, and offers precise results compared to traditional machine learning. Deep
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