Global Deep Learning Market Growth Analysis 2024, Forecast To 2033

19 Feb, 2024

The deep learning market has experienced exponential growth, climbing from $17.97 billion in 2023 to $25.15 billion in 2024, achieving a 40.0% CAGR. This growth is attributed to global investments, adoption in autonomous systems, focus on explainability and interpretability, emergence of generative models, and growth of edge computing. Foreseeing continued expansion, the market is anticipated to reach $100.02 billion in 2028, driven by global economic and geopolitical factors, security improvements, hybrid and federated learning approaches, and increasing adoption in healthcare.

Global Deep Learning Market Key Driver

Increasing adoption of cloud-based services is significantly contributing to the growth of the deep learning market. The advancement of cloud-based services allows businesses to run operations through cloud platforms. Harvard Business Review Analytic Services reports that over 74% of organizations believe cloud computing gives them a competitive advantage. This increasing adoption of cloud-based services is expected to drive the demand for the deep learning market.

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Global Deep Learning Market Segments

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
By Geography: The regions covered in the template market report are Asia-Pacific, Western Europe, Eastern Europe,North America, South America, Middle East, and Africa. Among these regions. 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

Major Deep Learning Industry Players

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.

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Deep Learning Market Overview

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

Deep Learning Global Market Report 2023 provides data on the global deep learning market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The deep learning market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.