Major factors driving the market for AI
infrastructure include increasing adoption of cloud machine learning platform,
escalating demand for AI hardware in high-performance computing data centers,
rising focus on parallel computing in AI data centers, growing volume of data
generated in industries such as automotive and healthcare, improving computing
power and declining hardware cost, growing number of cross-industry
partnerships and collaborations, and expanding AI applications in industries
such as healthcare, automotive, finance, and tourism.
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%.
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Key Market 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).
The
market in North America and Europe is one of the key factors restraining the
growth of the AI infrastructure market.
AI Infrastructure Market for
Deep Learning Technology is Estimated to Grow at Higher CAGR During Forecast
Period
AI infrastructure for deep learning technology enables a machine
to build a hierarchical representation. For instance, the first layer of the captured
image could scan for simple edges, followed by a layer that collects
edge-forming shapes (such as rectangle or circle). The final layer could
identify machine parts. After scanning several layers to identify the required
data, the neural network can collate the features into an algorithm that can
recognize the overall image. The growing adoption of robots, cybersecurity
applications, IoT, industrial automation, and machine vision technology has
created a large volume of data.
AI Infrastructure Market for
Cloud Service Providers in APAC is Estimated to Grow at Highest CAGR During
Forecast Period
Cloud service providers (CSPs) offer network services,
infrastructure, or business applications in the cloud to various companies from
industries such as automotive, healthcare, retail, and manufacturing. The
cloud mainly addresses 3 areas of operations: software-as-a-service (SaaS),
infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS). The
number of data center providers and cloud companies is likely to increase owing
to the high efficiency and economies of scale offered by cloud computing.
China Is Expected to Grow at
Highest CAGR in AI Infrastructure Market During Forecast Period
The AI infrastructure market in China is growing rapidly. As multinational
and domestic enterprises increasingly transit to cloud services providers
(CSPs) and collocation solutions, the AI data center growth in China continues
to evolve. The demand for AI data centres in the country has exceeded the
available supply as organizations seek enhanced connectivity and scalable
solutions for their growing businesses. Investments by the Chinese government
for stimulating technological developments have led to an increase in the
adoption of cloud-based services such as Big Data Analytics and Internet of
Things (IoT).
North America is Projected to Hold Largest Market Share during Forecast Period
At present, North America accounts for the largest
share of the global AI infrastructure market, and a similar trend is likely to
continue in the near future. The US and Canada are expected to adopt AI-based
servers at a high rate. These countries are technologically developed economies
in North America because of their strong focus on investing in R&D
activities for the development of new technologies. The North American AI
infrastructure is further segmented into the US, Canada, and Mexico. The US is
one of the major contributors to the North American AI market. The US is one of
the leading countries in the world to adopt AI technology.
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