Deep Learning Market Size, Share and Forecast by 2030 - PowerPoint PPT Presentation

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Deep Learning Market Size, Share and Forecast by 2030

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Title: Deep Learning Market Size, Share and Forecast by 2030


1
2022
Deep Learning Market Analysis, Emerging Trends,
Key Players, Future Scope
2
The adoption of cloud computing solutions has
increased rapidly over the past few years.
Companies these days are looking for solutions
that can facilitate cost savings. This can be
done by making use of cloud computing, since it
offers hosted data storage solutions. Owing to
this, the use of deep learning technology has
also increased significantly. The architecture of
cloud computing supports scalability and
virtualization, along with offering storage for a
huge amount of data, thereby making it ideal for
deep learning algorithms. Deep learning is
essentially a part of the machine learning (ML)
technology, and deals with exploring and building
algorithms which allow computers to adapt and
learn continuously. Due to the complex
relationship of data sets, implementation of
analysis methods including, regression analysis
and hypothesis testing becomes hard. Deep
learning technology, however, allows systematic
coding and categorization of data sets, which
enhances visibility when it comes to errors in
datasets. This further decreases the requirement
for humans to analyze every set for comparison
manually.
3
Owing to these factors, the global deep learning
market is predicted to generate a revenue of
102.4 billion by 2030, increasing from 3.7
billion in 2019, exhibiting a 35.2 CAGR during
the forecast period (20202030), as stated by a
PS Intelligence report. The major components of
the deep learning technology are service,
hardware, and software, out of which, the demand
for hardware components has been higher in the
past. Hardware components, such as storage
devices and graphics processing units, help in
storing a vast amount of data for deep neural
networks and training deep learning models. Other
than this, the demand for deep learning software
is also projected to rise considerably in the
coming years, as enterprises are adopting these
software for several applications, including
signal recognition, voice assistance, and image
recognition. Retail, BFSI, manufacturing,
automotive, and healthcare are the key industries
that make use of the deep learning technology.
Among these, the automotive industry made the
most use of deep learning in the past, however,
its adoption is also projected to grow
substantially in the healthcare industry in the
coming years. The healthcare industry is not only
widely adopting deep learning but other AI
technologies, including ML and big data, for
supporting researchers and medical professionals
in analysis and data extraction for better
medical outcomes. The growing of the healthcare
industry will further drive the demand for deep
learning in the near future.
4
  • Geographically, the deep learning market was
    dominated by North America in 2019 because of the
    enhanced IT infrastructure and technological
    advancements. Moreover, the demand for deep
    learning in the region is growing for a number of
    applications, including image recognition on
    social networks, product recommendation, and
    voice assistance. Other than this, the
    Asia-Pacific region is also projected to make
    wide adoption of deep learning, owing to the
    rising investments in AI technologies by
    industries and governments.
  • Hence, the market is being driven by the
    increasing adoption of cloud computing and need
    for reducing costs in businesses.
  • Market Segmentation by Component
  • Hardware
  • Processor
  • Memory
  • Network
  • Software
  • Solution
  • Platform
  • Service
  • Managed
  • Professional

5
  • Market Segmentation by Application
  • Signal Recognition
  • Image Recognition
  • Data Mining
  • Recommendation Engine
  • Natural Language Processing (NLP)
  • Others
  • Market Segmentation by Industry
  • Banking, Financial Services, Insurance (BFSI)
  • Healthcare
  • Automotive
  • Manufacturing
  • Retail
  • Others

6
  • Market Segmentation by Region
  • North America Deep Learning Market
  • By component
  • By application
  • By industry
  • By country U.S. and Canada
  • Europe Deep Learning Market
  • By component
  • By application
  • By industry
  • By country U.K., Germany, France, Italy, and
    Rest of Europe

7
  • Asia-Pacific (APAC) Deep Learning Market
  • By component
  • By application
  • By industry
  • By country China, India, Japan, Australia, and
    Rest of APAC
  • Rest of the World (RoW) Deep Learning Market
  • By component
  • By application
  • By industry
  • By country Brazil, U.A.E., Saudi Arabia, and
    Others
  • This study covers
  • 1. Historical and the present size of the
    Automotive Thermoplastics Market
  • 2. Future potential of the market through its
    forecast for the period 2020 2030
  • 3. Historical and the present size of the market
    segments and understand their comparative future
    potential
  • 4. Competitive scenario of various market
    segments across key countries in several regions
    for uncovering market opportunities for the
    stakeholders
  • 5. Major players operating in the market and
    their service offerings

8
Disclaimer PS Intelligence always keeps its
customers interests at the core while carrying
out research activities. PS Intelligence ensures
the reliability and accuracy of information and
data provided in its market research
publications. However, the information in
publications is subject to fluctuations, as it is
based on primary interviews of officials from
various companies or organizations. PS
Intelligence is not responsible for any incorrect
data provided by the key industry players of the
concerned domain. the information or analysis in
PS Intelligence publications represents opinions
based on research and should not be interpreted
as statements of fact. Information in this report
was believed to be correct at the time of
publication, but cannot be guaranteed. PS
Intelligence does not endorse any product,
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