Major Drivers and Opportunities of AI Infrastructure Market - PowerPoint PPT Presentation

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Major Drivers and Opportunities of AI Infrastructure Market

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The Artificial intelligence (AI) refers to the theory and development of computer systems capable of performing tasks that usually require human intelligence. AI involves the study and synthesis of intelligent agents—in this case, a computer system. AI applications process large volumes of data, and they require powerful processing capabilities outside. AI infrastructure enables superior data throughput and storage capacity, as well as large data workloads. – PowerPoint PPT presentation

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Title: Major Drivers and Opportunities of AI Infrastructure Market


1
MarketsandMarkets Presents

Major Drivers and Opportunities of AI
Infrastructure Market AI Infrastructure Market
by Offering (Hardware, Software), Technology
(Machine Learning, Deep Learning), Function
(Training, Inference), Deployment Type
(On-Premises, Cloud, Hybrid), End User, and
Region - Global Forecast to 2025 https//www.mark
etsandmarkets.com/Market-Reports/ai-infrastructure
-market-38254348.html
2
The Artificial intelligence (AI) refers to the
theory and development of computer systems
capable of performing tasks that usually require
human intelligence. AI involves the study and
synthesis of intelligent agentsin this case, a
computer system. AI applications process large
volumes of data, and they require powerful
processing capabilities outside. AI
infrastructure enables superior data throughput
and storage capacity, as well as large data
workloads. Browse 71 market data Tables and 54
Figures spread through 189 Pages and in-depth TOC
on "AI Infrastructure Market - Global Forecast to
2025"
3
The AI infrastructure market for the hardware
segment is estimated to grow at the highest CAGR
during the forecast period The AI infrastructure
market based on hardware has been further
segmented into a processor, memory, storage, and
networking (switches, routers, and other
equipment used to link servers in the cloud and
to connect edge devices). NVIDIA (US), Intel
(US), Micron (US), Xilinx (US), Google (US),
Samsung (South Korea), Habana Technologies
(Israel), and Graphcore (UK) are a few of the
companies that develop hardware needed for
AI. Ask PDF Brochure https//www.marketsandmarke
ts.com/pdfdownloadNew.asp?id38254348 The AI
infrastructure market for deep learning is
expected to grow at the highest CAGR during the
forecast period Deep learning is a class of ML
based on multiple algorithms for creating
relationships among data. Deep learning uses
artificial neural networks to learn a
representation of multiple levels of data, such
as texts, images, and sounds. Its algorithms help
in identifying patterns from a set of
unstructured data. Presently, deep learning
technology is used in voice recognition, fraud
detection, recommendation engines, sentiment
analysis, image recognition, motion detection,
etc. Algorithms help in identifying patterns from
a set of unstructured data. Deep learning uses
artificial neural networks to learn multiple
levels of data.
4
The AI infrastructure market for inference
function is estimated to grow at a higher CAGR
during the forecast period Inference is sensitive
to latency, and the trained model needs to
analyze and provide analysis in near real time.
The requirement of the infrastructure for model
deployment to accelerate the data at the fastest
rate is expected to drive the market for
inference. Request Free Sample
Pages https//www.marketsandmarkets.com/requestsa
mpleNew.asp?id38254348 Among all regions, the
market in APAC is expected to witness the highest
CAGR during the forecast period The market in
APAC mainly constitutes major economies such as
Singapore, South Korea, Japan, China, India, and
Australia, which are expected to register high
growth in the AI infrastructure market. APAC is
the host to a few of the fastest-growing and
leading industrialized economies such as China,
Japan, and India in the world. It is witnessing
dynamic changes in the adoption of new
technologies and advancements in organizations
across industries. Increasing adoption of deep
learning and NLP technologies for finance,
agriculture, marketing, and law applications is
also driving the market in this region.
5
Key Players Key players operating in the AI
infrastructure market are Intel Corporation (US),
NVIDIA Corporation (US), IBM (US), Samsung
Electronics (South Korea), Google (US), Microsoft
(US), Micron Technology (US), Amazon Web Services
(US), CISCO (US), Oracle (US), ARM (UK), Xilinx
(US), Advanced Micro Devices (AMD) (US), Dell
(US), HPE (US), Habana Labs (Israel), and
Synopsys Inc. (US). Increasing adoption of cloud
machine learning platform and escalating demand
for AI hardware in high-performance computing
data centers are driving the AI infrastructure
market. AI infrastructure comprises hardware
components such as processors, memory, storage
devices, and networking, as well as server
software. All these components deliver higher
performance and improved efficiency than that of
the conventional components. AI-optimized
solutions can learn the patterns, relationships,
transformations on their own when the data is
shown to machine learning algorithms. The global
AI infrastructure market is projected to grow
from USD 14.6 billion in 2019 to USD 50.6 billion
by 2025, at a CAGR of 23.1.
6
About MarketsandMarkets MarketsandMarkets
provides quantified B2B research on 30,000 high
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7
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INC. 630 Dundee Road Suite 430 Northbrook, IL
60062 USA 1-888-600-6441 For More
Info https//www.marketsandmarkets.com/PressRelea
ses/ai-infrastructure.asp
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