AI Infrastructure Market Size - Technological Advancement and Growth Analysis by Top Key Players during 2019-2025 - PowerPoint PPT Presentation

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AI Infrastructure Market Size - Technological Advancement and Growth Analysis by Top Key Players during 2019-2025

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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: AI Infrastructure Market Size - Technological Advancement and Growth Analysis by Top Key Players during 2019-2025


1
MarketsandMarkets Presents

AI Infrastructure Market Size - Technological
Advancement and Growth Analysis by Top Key
Players during 2019-2025 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.marketsandmarkets.com/Market-Reports
/ai-infrastructure-market-38254348.html
2
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. 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.
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
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