Deep Learning Market 2024-2033: Technological Advancements, Competitive Landscape and Strategies

The deep learning global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Deep Learning Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size –

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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Scope Of Deep Learning Market

The Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers –

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.

Market Trends –

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.

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

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Regional Insights –

North America was the largest region in the deep learning market in 2023. 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

Key Companies –

Major companies operating in the deep learning market report are 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.

Table of Contents
1. Executive Summary
2. Deep Learning Market characterstics
3. Deep Learning Market Trends And Strategies
4. Deep Learning Market – Macro Economic Scenario
5. Global Deep Learning Market Size And Growth
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31. Global Deep Learning Market Competitive Benchmarking
32. Global Deep Learning Market Competitive Dashboard
33. Key Mergers And Acquisitions In The Deep Learning Market
34. Deep Learning Market Future Outlook and Potential Analysis
35. Appendix

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