Global AI Infrastructure Market Share, Size, Price, Analysis, Report and Forecast Period Of 2023-2028

The new report by Expert Market Research titled, ‘Global AI Infrastructure Market Price, Share, Size, Trends, Growth, Report and Forecast 2023-2028’, gives an in-depth analysis of the global AI infrastructure market, assessing the market based on its segments like type, technology, deployment, function, end-use, and major regions.

The report tracks the latest trends in the industry and studies their impact on the overall market. It also assesses the market dynamics, covering the key demand and price indicators, along with analysing the market based on the SWOT and Porter’s Five Forces models.

The key highlights of the report include:

Market Overview (2018-2028)

• Historical Market Size (2022): USD 21.15 billion
• Forecast CAGR (2023-2028): 23.80%
• Forecast Market Size (2028): USD 76.18 billion

The growing usage of cloud machine learning systems, rising demand for AI hardware in high-performance data centres, and increasing emphasis on parallel computing in AI data centres are all important drivers of the AI technology industry.

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The growing volume of data produced in industries such as automotive and healthcare, improved computing power, lower hardware costs, growing number of cross-industry partnerships and collaborations, and expanding AI applications in industries such as healthcare, automotive, finance, and tourism are all driving the market forward.

AI Infrastructure Industry Definition and Major Segments

A computer can generate a hierarchical representation using AI deep learning engineering architecture. For instance, the first layer’s collected image might scan for simple edges, followed by a layer that collects edge-forming structures. The final layer was able to recognise computer components.

After scanning many layers to obtain the essential data, the neural network can combine the features into an algorithm that can recognise the overall image. The expansion of robotics, cybersecurity technologies, IoT, industrial automation, and machine vision technology has generated a tremendous amount of data.

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The industry can be broadly categorised on the basis of type into:

• Hardware
• Processor
• CPU
• GPU
• FPGA
• ASIC
• Memory
• Storage
• Networking
• Server Software

The industry can be divided based on technology into:

• Machine Learning
• Deep Learning

The industry can be divided on the basis of deployment as:

• On Premises
• Cloud
• Hybrid

The industry can be segmented based on function as:

• Training
• Inference

The industry can be divided on the basis of end-use as:

• Enterprises
• Government Organisations
• Cloud Service Providers
• Others

The global regions for AI infrastructure market include:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

AI Infrastructure Market Trends

The growing demand for high-performance hardware platforms to run diverse AI software is a major element driving the AI infrastructure market forward. APAC is home to some of the world’s fastest growing and most powerful industrialised economies, including China, Japan, and India.

The adoption of new technologies and improvements in companies across industries is undergoing rapid changes. The industry is also being driven by the growing use of deep learning and natural language processing (NLP) technology in banking, agriculture, marketing, and legal.

Key Market Players

The major players in the market are Intel Corporation, Nvidia Corporation, Google LLC, Amazon Web Service, Microsoft Corporation, Samsung, Xilinx, Inc., International Business Machines Corporation, Cisco Systems, Inc. (NASDAQ: CSCO), Arm Holdings, and Others.

The report covers the market shares, capacities, plant turnarounds, expansions, investments and mergers and acquisitions, among other latest developments of these market players.

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