Authored By: Sarah
20 Jun 2024

 Deep Learning Market to grow by USD 10852.9 million between 2024-2028

According to a research report “ Deep Learning Market” by Application (Image recognition, Voice recognition, Video surveillance and diagnostics, Data mining) Type (Software, Services, Hardware) Geography (North America, Europe, APAC, South America, Middle East and Africa)- Global Forecast to 2028 published by Technavio, the market size is estimated to grow by USD 10852.9 million at a CAGR of almost 26.06% during the forecast period. The deep learning market has experienced significant growth due to the influx of startups, fueled by increased investment from global financiers. These startups are utilizing deep learning technologies in diverse industry sectors. In healthcare, notable companies include Atomwise Inc. and IBM-supported Pathway Genomics Corp., providing advanced deep learning platforms..

Browse market data tables, figures, and in-depth TOC on “Deep Learning Market” by Application (Image recognition, Voice recognition, Video surveillance and diagnostics, Data mining) Type (Software, Services, Hardware) Geography (North America, Europe, APAC, South America, Middle East and Africa) Global Forecast to 2028.

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By Application, the Image recognition segment is projected to dominate the market size in 2024.

In today's data-driven business landscape, deep learning has emerged as a critical technology for processing and analyzing complex data sets. With the increasing digitization of industries such as healthcare and retail, the generation of massive data volumes is becoming the norm. To effectively harness this data and gain valuable insights, businesses are turning to deep learning software solutions. These advanced tools enable the design, training, and validation of deep neural networks, transforming raw data into actionable business intelligence.

By Type, Software  segment is expected to hold the largest market size for the year 2024.

In the realm of big data, image repositories hold immense value due to the intrinsic difficulty in forging authentic visual content. This valuable data is extensively utilized by the Banking, Financial Services, and Insurance (BFSI) sector for various applications, including customer communication personalization, market competitiveness, and productivity enhancement through automation. Notably, advanced technologies like Deep Learning are driving image recognition in this sector with remarkable accuracy, akin to Facebook's ability to identify and map 98% of images to the correct user. This adoption underscores the significant potential of the Deep Learning market in the BFSI industry.

North America is forecasted to hold the largest market size by region in 2024.

In the dynamic business landscape, deep learning market growth is a significant trend. This technology, a subset of artificial intelligence, offers advanced solutions for data analysis and prediction. Companies are investing heavily to leverage deep learning's capabilities, enhancing their competitive edge through improved efficiency and accuracy. The deep learning market is projected to expand exponentially, driven by increasing demand for automation and data-driven insights.

The Deep Learning Market growth and forecasting report also includes detailed analyses of the competitive landscape of the market growth and forecasting and information about 20 market companies, including:

  • Advanced Micro Devices Inc.
  • Amazon.com Inc.
  • Atomwise Inc.
  • Comma.ai Inc.
  • Deep Instinct
  • DeepMind Technologies Ltd.
  • Graphcore Ltd.
  • H2O.ai Inc.
  • Hewlett Packard Enterprise Co.
  • Intel Corp.
  • International Business Machines Corp.
  • Micron Technology Inc.
  • Microsoft Corp.
  • Mphasis Ltd.
  • NVIDIA Corp.
  • Qualcomm Inc.
  • Samsung Electronics Co. Ltd.
  • Sensory Inc.
  • Teledyne FLIR LLC
  • Viz.ai Inc.
.

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Research Analysis Overview

The Deep Learning market is experiencing significant growth due to its applications in various industries. Deep Learning, a subset of Machine Learning and Artificial Intelligence, is characterized by its multi-layered structure, inspired by the neural network architecture of the human brain. This technology is revolutionizing Diagnostics and Drug Discovery by enabling accurate identification of patterns and anomalies in large datasets. Deep Learning is also transforming Industrial Automation, Cybersecurity Applications, and Robotics through advanced Training Algorithms and Deep Learning Algorithms. Cloud-based technology, including Data Centers and Big Data Analytics, is essential for the Computing Power required by Deep Learning. Applications of Deep Learning include Image Recognition in Social Networks, ATMs, and Smartphone Assistants. Machine Learning Technology and Cloud-based technology are crucial enablers for Deep Learning, facilitating Data Mining and enabling advancements in areas like Neural Network Architecture and Deep Learning Algorithms. In conclusion, the Deep Learning market is witnessing exponential growth due to its potential in Diagnostics, Drug Discovery, Industrial Automation, Cybersecurity Applications, and Robotics. The technology's ability to learn from data and improve performance over time makes it a valuable asset for businesses and organizations across industries.

Market Research Overview

In the dynamic and evolving landscape of technology, deep learning markets continue to gain significant traction. This advanced form of machine learning and artificial intelligence utilizes neural networks and deep learning algorithms to analyze large datasets, including high-resolution medical images, molecular data, and customer behavior analytics. Deep learning services are compatible with various devices and are employed in various therapeutic areas, such as drug discovery, inflammatory disorders, musculoskeletal disorders, and oncological disorders. Deep learning technologies, including deep learning services and machine vision technology, are revolutionizing industries, from healthcare and medical image analysis to industrial automation, cybersecurity applications, and autonomous driving. These technologies rely on computing power, cloud-based technology, and data center infrastructure for processing and analyzing big data. Deep learning algorithms, such as neural network architecture and training algorithms, are essential components of deep learning services. They enable image interpretation, biomarker identification solutions, and disease indication prediction. Deep learning services also offer multi-layered structure, including voice recognition, natural language processing, and sentiment analysis, to provide comprehensive and personalized solutions. Deep learning market growth is driven by the increasing demand for precision medicine, monitoring, and lifestyle management, as well as the integration of deep learning technologies into various industries, including finance, agriculture, and transportation.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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