AI Infrastructure comprises of use of deep learning machine technology which enables a machine to develop a hierarchical structure. For instance, the first film of an image can be scanned for basic edges. It is then followed by a layer which collects the edge forming shapes and lastly a layer which can identify the machine parts. After scanning number of such layers to recognize the required information, the neural network of the machine can then turn the features into an algorithm, which then is used to identify the image.

Rising deployment of cloud machine learning tools in companies and surging popularity of AI hardware in high-performing computing data centers will fuel growth of AI infrastructure market over forecasted time span. In addition to this, extensive usage of artificial intelligence in BFSI, healthcare, automotive and tourism sectors will drive expansion of AI infrastructure market over forecast period. Decrease in hardware costs and significant focus of firms on utilizing parallel computing in AI data centers will favor growth of AI infrastructure market size in upcoming years. Surging proportion of cross-industry alliances and collaborations will further fuel expansion of AI infrastructure industry. Increase in data traffic and requirement of high computing power will propel market trends. The rising use of robotics, industrial IoT and big data across fields is boosting the growth of the global AI infrastructure market. In addition, the several governments of developing countries such as India are investing in building efficient and effective AI ecosystem which will further project the growth of the market. Apart from this, the dearth of AI hardware experts and skilled workforce will likely to impede the market growth.

Field Programmable Gate Array (FPGA) is an integrated circuit which a customer or designer can configure after it is being created (field programmable). FPGAs are programmed using hardware description languages including VHSIC hardware description language (VHDL) or Verilog. FPGAs provide benefits such as short time-to-market, rapid prototyping, the ability to be reprogrammed in the field for debugging, and an improved product life cycle which increases the demand for FPGA-based accelerators further creates opportunities for the market.

The global AI Infrastructure Market is segregated on the basis of Component as Hardware and Software. Based on Deployment Model the global AI Infrastructure Market is segmented in On-Premise, Cloud and Hybrid. Based on End User the global AI Infrastructure Market is segmented in Government Organizations, Enterprises and Cloud Service Providers (CSPs).

The global AI Infrastructure Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The AI Infrastructure Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Intel Corporation, NVIDIA Corporation, IBM, Samsung Electronics, Google and others are among the major players in the global AI Infrastructure Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In July 2020, IBM Corporation declared the introduction of Elastic Storage System (ESS) 5000 and upgraded Cloud Object Storage (COS) and Spectrum Discover as part of a new AI storage portfolio to help AI infrastructure. ESS 5000 is optimized for the Collect stage. This is based on IBM Power9 servers and operates the firm's Spectrum Scale parallel file system.
• In Dec 2019, Intel Corporation declared that it had acquired Habana Labs, an Israel-based developer of programmable deep learning drivers for the data centers, for around USD 2 billion. The acquisition will intensify Intel's artificial intelligence (AI) portfolio and propel its efforts in the rapidly-growing AI silicon market.
• In Oct 2019, Hewlett Packard Enterprise (HPE) declared the improvements to SimpliVity, the company's leading hyper-converged infrastructure (HCI) platform. This new generation of HCI is powered with artificial intelligence which simplifies virtual machine (VM) management and exempts the IT staff to focus on innovation.

The global AI Infrastructure Market has been segmented as below:

AI Infrastructure Market, By Component

• Hardware
• Software

AI Infrastructure Market, By Deployment Model

• On-Premise
• Cloud
• Hybrid

AI Infrastructure Market, By End User

• Government Organizations
• Enterprises
• Cloud Service Providers (CSPs)

AI Infrastructure Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

AI Infrastructure Market, By Company

• Intel Corporation
• NVIDIA Corporation
• IBM
• Samsung Electronics
• Google
• Microsoft
• Micron Technology
• Amazon Web Services
• CISCO
• Oracle
• ARM
• Xilinx
• Advanced Micro Devices (AMD)
• Dell
• HPE
• Habana Labs
• Synopsys Inc.
• Facebook
• Xilinx
• CiscoNutanix

The report covers the below scope:

• Global AI Infrastructure Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global AI Infrastructure Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global AI Infrastructure Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global AI Infrastructure Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global AI Infrastructure Market share. Major industry players with significant revenue share include Intel Corporation, NVIDIA Corporation, IBM, Samsung Electronics, Google and others.

Why to Buy this Report:

• Gain detailed insights on the AI Infrastructure industry trends
• Find complete analysis on the market status
• Identify the AI Infrastructure Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

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