AI Infrastructure Market by Offering (Hardware, Server Software), Technology (Machine Learning, Deep Learning), Function (Training, Inference), Deployment Type (On-premises, Hybrid, Cloud), End user and Region - Global Forecast to 2027
[234 Pages Report] The global AI infrastructure market is projected to grow from USD 28.7 billion in 2022 to USD 96.6 billion by 2027, at a CAGR of 27.5% during the forecast period from 2022 to 2027.
The growth of this market is driven by factors such as increased data traffic and need for high computing power, increasing adoption of cloud-based machine learning platforms, increasingly large and complex dataset, growing number of cross-industry partnerships and collaborations, increasing adoption of AI due to the COVID-19 pandemic, and, rising focus on parallel computing in AI data centers.
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Market Dynamics of AI Infrastructure Market
Driver: Rising focus on parallel computing in AI data centers
CPUs are used for serial computing in data centers to track a series of memory locations where instructions and data are stored. A processor makes computations serially by analyzing the instructions and data at the memory addresses. In serial computation, computational steps are sequential and logical. In other words, a single task at a data center is divided into a series of separate instruction sets, executed serially by a processor. This typically leads to latency problems in data centers, especially during AI-based computations wherein data and instruction sets are huge in numbers.
In the parallel computing structure, multiple compute resources are used concurrently to execute instructions. In this method, instructions are divided into discrete parts that can be executed concurrently by multiple co-processors. This makes parallel computing favorable for HPC/supercomputers.
With the growth of AI, data mining, and virtual reality, commercial servers are also increasingly using parallel computing. GPUs are suitable for parallel computing due to their parallel architecture with thousands of cores, which enable them to handle multiple instructions concurrently. The parallel computing model is ideal for implementing deep learning training and interface as artificial neutral networks principally work more efficiently with a parallel computing framework. The growing demand for parallel computing is expected to boost the AI infrastructure market during the forecast period.
Restraint: Lack of AI hardware experts and skilled workforce
Artificial Intelligence is a complex system, and companies require experts and a skilled workforce for developing, managing, and implementing AI systems. People dealing with AI systems should be aware of technologies such as cognitive computing, machine learning (ML), machine intelligence, deep learning, and image recognition. In addition, integrating AI technology into existing systems is a challenging task that requires well-funded in-house R&D and patent filling. Even minor errors can translate into system failure or malfunctioning of a solution, and this can drastically affect the outcome and desired result. Professional services of data scientists and developers are needed to customize existing ML-enabled AI processors. Companies across industries embrace emerging technologies to improve operational efficiency and performance, reduce waste, conserve natural resources, reach new markets and audiences with speed and convenience, and support product and process innovation.
Opportunity: Rising need for co-processors due to slowdown of Moore’s Law
Moore's law states that the number of transistors per square inch on integrated circuits will double about every 18 months until at least 2020. In April 2015, Intel Corporation stated that it could sustain Moore's law for another few years by developing 7 nm and 5 nm fabrication technologies. However, moving forward, it would be challenging to further reduce the size of processors; doing so would also reduce the space between electrons and holes, which will create problems such as current leakage and overheating in ICs. These problems would lead to slower performance, higher power consumption by ICs, and a further reduction in durability. Thus, the need to find an alternate way to increase the computational power of chips has fuelled the development of accelerators or co-processor chips, which are critical elements of AI infrastructure.
Challenge: Concerns regarding data privacy in AI platforms
AI has several applications in the healthcare industry. However, the adoption of AI in the industry is restricted to an extent owing to data privacy concerns. Patients' health data is protected under federal laws in many countries, and any breach or failure to maintain its integrity can result in legal and financial penalties. As AI used for patient care requires access to multiple health datasets, it is essential for AI-based tools to adhere to all data security protocols mandated by governments and regulatory authorities. This is a challenging task as most AI platforms are consolidated and require extensive computing power, owing to which, patient data or parts of it can be required to reside in a vendor's data center. This is a major challenge in the market.
Hybrid segment in deployment type to hold second largest share of AI infrastructure market during the forecast period
Hybrid deployment model holds the second largest market share in AI infrastructure market during forecast period. The advantage of a hybrid cloud is its increased agility; therefore, it is widely accepted by enterprises to gain a competitive advantage. Automotive, healthcare, and industrial organizations started adopting hybrid infrastructure that combines different technologies and methodologies such as virtualization, private clouds, and other internal IT resources.
China in APAC to account for the largest market share and highest growth rate during the forecast period
The market in China among APAC countries, holds the largest market share and highest growth rate and is expected to retain its position during the forecast period. The AI infrastructure market in China is growing rapidly. As multinational and domestic enterprises increasingly transit to cloud services providers (CSPs) and co-location solutions, the growth of AI data centers in China continues to evolve. The demand for AI data centers in the country has increased due to organizations seeking enhanced connectivity and scalable solutions for their growing businesses. Various government reforms and initiatives, such as the establishment of free trade in Shanghai, are attracting international investors.
APAC to account for the largest market share and highest growth rate during the forecast period
The market in Asia Pacific holds the largest market share and highest growth rate and is expected to retain its position during the forecast period. The high growth is due to the presence of most populous countries such as China and India.
India is one of the world's fastest-growing economies, with a huge interest in AI's worldwide development. The Indian government recognizes the potential and is taking all necessary steps to steer the country and place it among the leaders in AI. Despite the favorable ecosystem, the government is trying to overcome to achieve rapid progress in AI. Similarly, the Chinese government is speeding up the construction of new infrastructure projects such as 5G networks and data centers, bolstering information services for the expanding market. Also, the government announced the establishment of the Next Generation Artificial Intelligence Development Plan, which promises policy support, central coordination, and investments of more than USD 150 billion by 2030.
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Key Market Players
Some of the key companies in the AI infrastructure market are NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Micron Technology, Inc (US), Advanced Micro Devices, Inc. (US), International Business Machines (IBM) Corporation (US), Google LLC (US), Microsoft Corporation (US), Amazon Web Services, Inc. (US) , SK Hynix, Inc. (South Korea), MIPS (US), Toshiba Corporation (Japan), Imagination Technologies (UK), Cambricon Technologies Corp. Ltd. (China), Graphcore (UK), Gyrfalcon Technology Inc (US) , Cadence Design Systems, Inc. (US), Tenstorrent Inc. (US), Cisco Systems, Inc. (US), Arm Limited (US), Dell Technologies (US), Hewlett Packard Enterprise (US), Synopsys, Inc. (US), and SenseTime Group Inc. (China).
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|
Report Metric |
Details |
|
Market size available for years |
2018–2027 |
|
Base year considered |
2021 |
|
Forecast period |
2022–2027 |
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Forecast units |
Value (USD Billion) |
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Segments covered |
Offering, Function, Technology, Deployment Type, End User, and Region |
|
Geographies covered |
North America, Europe, APAC, and RoW |
|
Companies covered |
NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Micron Technology, Inc (US), Advanced Micro Devices, Inc. (US), International Business Machines (IBM) Corporation (US), Google LLC (US), Microsoft Corporation (US), Amazon Web Services, Inc. (US), and so on. |
In this research report, the AI infrastructure market has been segmented on the basis of Offering, Function, Technology, Deployment Type, End User, and Region.
AI Infrastructure Market, by Offering
- Hardware
- Server Software
AI Infrastructure Market, by Technology
- Machine Learning
- Deep Learning
AI Infrastructure Market, by Function
- Training
- Inference
AI Infrastructure Market, by Deployment Type
- On-premises
- Cloud
- Hybrid
AI Infrastructure Market, by End user
- Enterprises
- Government Organizations
- Clous Service Providers
Geographic Analysis
- North America
- Europe
- APAC
- RoW
Recent Developments
- In May 2022, Micron Technology, Inc. announced the upcoming availability of two new consumer storage products, the Crucial P3 Plus Gen4 NVMe and Crucial P3 NVMe solid-state drives (SSDs), as an expansion of its Crucial NVMe SSD product portfolio. The new Crucial P3 Plus SSD product line will deliver sequential read/write speeds up to 5000/4200 MB/s1, while next-generation Crucial P3 SSDs will provide read/write speeds up to 3500/3000 MB/s1.
- In March 2022, NVIDIA Corporation announced its next-generation accelerated computing platform with NVIDIA Hopper architecture, to power the next wave of AI data centers and deliver an order of magnitude performance leap over its predecessor, i.e., NVIDIA Ampere architecture, launched two years ago.
- In November 2021, Samsung Electronics Co., Ltd. announced its plans to build a state-of-the-art semiconductor chip manufacturing plant in Texas (US), targeting the second half of 2024 to have the facility operational.
Frequently Asked Questions (FAQ):
What is the current size of the global AI infrastructure market?
The global AI infrastructure market is projected to grow from USD 28.7 billion in 2022 to USD 96.6 billion by 2027, at a CAGR of 27.5% during the forecast period from 2022 to 2027.
Who are the winners in the global AI infrastructure market?
Some of the key companies in the AI infrastructure market are NVIDIA Corporation (US), Intel Corporation (US), Oracle Corporation (US), Samsung Electronics Co., Ltd. (South Korea), Micron Technology, Inc (US), Advanced Micro Devices, Inc. (US), International Business Machines (IBM) Corporation (US), Google LLC (US), Microsoft Corporation (US), Amazon Web Services, Inc. (US), SK Hynix, Inc. (South Korea), MIPS (US), Toshiba Corporation (Japan), Imagination Technologies (UK), Cambricon Technologies Corp. Ltd. (China), Graphcore (UK), Gyrfalcon Technology Inc (US) , Cadence Design Systems, Inc. (US), Tenstorrent Inc. (US), Cisco Systems, Inc. (US), Arm Limited (US), Dell Technologies (US), Hewlett Packard Enterprise (US), Synopsys, Inc. (US), and SenseTime Group Inc. (China) are the major players operating in the AI infrastructure market.
What are the major drivers for the AI infrastructure market?
The key factors driving the growth of the AI infrastructure market include increased data traffic and need for high computing power, increasing adoption of cloud-based machine learning platforms, increasingly large and complex dataset, rising focus on parallel computing in AI data centers, growing number of cross-industry partnerships and collaborations, and increasing adoption of AI due to the COVID-19 pandemic.
What are the growing application verticals in the AI infrastructure market?
The cloud service providers segment holds the largest market share and is also projected to register the highest CAGR during the forecast period. Cloud services drive cost-saving and support digital business transformation. Hence, the adoption of cloud services is high in the AI infrastructure space. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 29)
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
FIGURE 1 MARKET SEGMENTATION: AI INFRASTRUCTURE MARKET
1.3.2 REGIONAL SCOPE
1.3.3 YEARS CONSIDERED
1.4 INCLUSIONS AND EXCLUSIONS
1.5 CURRENCY
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 33)
2.1 RESEARCH DATA
FIGURE 2 RESEARCH DESIGN
2.1.1 SECONDARY & PRIMARY RESEARCH
2.1.1.1 Key industry insights
2.1.2 SECONDARY DATA
2.1.2.1 List of major secondary sources
2.1.2.2 Secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 Breakdown of primary interviews
2.1.3.2 Primary interviews with experts
2.1.3.3 Key data from primary sources
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
FIGURE 4 APPROACH FOR CAPTURING MARKET SIZE FROM SUPPLY-SIDE
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN & DATA TRIANGULATION
FIGURE 6 DATA TRIANGULATION: AI INFRASTRUCTURE MARKET
2.4 RESEARCH ASSUMPTIONS
2.5 LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY (Page No. - 44)
FIGURE 7 HARDWARE SEGMENT ESTIMATED TO HOLD LARGER SHARE OF AI INFRASTRUCTURE MARKET
FIGURE 8 CLOUD SERVICE PROVIDERS SEGMENT TO HOLD LARGEST SHARE OF AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD
FIGURE 9 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
4 PREMIUM INSIGHTS (Page No. - 47)
4.1 MAJOR OPPORTUNITIES IN AI INFRASTRUCTURE MARKET
FIGURE 10 INCREASING ADOPTION OF CLOUD MACHINE LEARNING IN HIGH-PERFORMANCE COMPUTING DATA CENTERS EXPECTED TO DRIVE MARKET
4.2 AI INFRASTRUCTURE MARKET FOR HARDWARE, BY OFFERING
FIGURE 11 AI INFRASTRUCTURE MARKET FOR PROCESSOR TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
4.3 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE
FIGURE 12 AI INFRASTRUCTURE MARKET FOR CLOUD TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
4.4 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC, BY END USER AND COUNTRY
FIGURE 13 CLOUD SERVICE PROVIDERS TO ACCOUNT FOR LARGEST SHARE OF MARKET DURING FORECAST PERIOD
4.5 AI INFRASTRUCTURE MARKET, BY COUNTRY
FIGURE 14 AI INFRASTRUCTURE MARKET IN CHINA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
5 MARKET OVERVIEW (Page No. - 50)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 15 AI INFRASTRUCTURE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Increasing data traffic and need for high computing power
5.2.1.2 Growing adoption of cloud machine learning platform
FIGURE 16 AI ADOPTION BY ORGANIZATIONS GLOBALLY, 2020-2021
5.2.1.3 Increasingly large and complex dataset
TABLE 1 MOBILE DATA TRAFFIC PER SMARTPHONE (GB/MONTH)
5.2.1.4 Rising focus on parallel computing in AI data centers
5.2.1.5 Increasing cross-industry partnerships and collaborations
TABLE 2 RECENT DEVELOPMENTS PERTAINING TO INDUSTRY PARTNERSHIPS
5.2.1.6 Growing adoption of AI due to COVID-19
FIGURE 17 NUMBER OF DATA CENTERS WORLDWIDE IN 2022, BY COUNTRY
FIGURE 18 IMPACT ANALYSIS OF DRIVERS ON AI INFRASTRUCTURE MARKET
5.2.2 RESTRAINTS
5.2.2.1 Lack of AI hardware experts and skilled workforce
FIGURE 19 IMPACT ANALYSIS OF RESTRAINTS ON AI INFRASTRUCTURE MARKET
5.2.3 OPPORTUNITIES
5.2.3.1 Surging demand for FPGA-based accelerators
TABLE 3 RECENT DEVELOPMENTS IN FPGA
5.2.3.2 Rising need for co-processors due to slowdown of Moore's Law
5.2.3.3 Growing potential of AI-based tools for elderly care
FIGURE 20 IMPACT ANALYSIS OF OPPORTUNITIES IN AI INFRASTRUCTURE MARKET
5.2.4 CHALLENGES
5.2.4.1 Concerns regarding data privacy in AI platforms
FIGURE 21 HEALTHCARE DATA BREACHES OF 500 OR MORE RECORDS
5.2.4.2 Unreliability of AI algorithms
5.2.4.3 Availability of limited structured data to train and develop efficient AI systems
FIGURE 22 IMPACT ANALYSIS OF CHALLENGES ON AI INFRASTRUCTURE MARKET
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER'S BUSINESS
5.3.1 REVENUE SHIFT & NEW REVENUE POCKETS FOR AI INFRASTRUCTURE PROVIDERS
FIGURE 23 REVENUE SHIFT FOR AI INFRASTRUCTURE MARKET
5.4 PRICING ANALYSIS
5.4.1 AVERAGE SELLING PRICES OF KEY PLAYERS, BY OFFERING
FIGURE 24 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 HARDWARE PRODUCTS
TABLE 4 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 HARDWARE PRODUCTS (USD)
5.4.2 AVERAGE SELLING PRICE TREND
FIGURE 25 AI INFRASTRUCTURE MARKET: AVERAGE PRICE OF PROCESSOR
FIGURE 26 AI INFRASTRUCTURE MARKET: AVERAGE PRICE OF MEMORY
FIGURE 27 AI INFRASTRUCTURE MARKET: AVERAGE PRICE OF NETWORK
5.5 VALUE CHAIN ANALYSIS
FIGURE 28 VALUE CHAIN ANALYSIS: MAJOR VALUE ADDED BY HARDWARE AND SOFTWARE PROVIDERS
5.6 ECOSYSTEM/MARKET MAP
TABLE 5 AI INFRASTRUCTURE MARKET: ECOSYSTEM
5.7 TECHNOLOGY ANALYSIS
TABLE 6 COMPARISON OF AI CHIP TYPE
5.7.1 CLOUD GPU
5.8 CASE STUDY ANALYSIS
5.8.1 KIA MOTORS AMERICA RELIES ON ADVANCED ANALYTICS AND AI SOLUTIONS FROM SAS TO IMPROVE PRODUCTS AND SERVICES
5.8.2 VULCAN AI USES AI VISION AND DEEP LEARNING TO CREATE SAFER WORKPLACE
5.8.3 ORTOBOM BOOSTS AGILITY, SERVES CUSTOMERS FASTER WITH ORACLE CLOUD INFRASTRUCTURE
5.8.4 BRAZILIAN BANK BRADESCO GIVING PERSONAL ATTENTION TO 65 MILLION CUSTOMERS WITH WATSON
5.8.5 ACCENTURE, ALONG WITH MICROSOFT, WORKED FOR GOVERNMENT OF INDIA TO DEVELOP AI TOOL FOR PANDEMIC
5.9 PATENT ANALYSIS
FIGURE 29 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
TABLE 7 TOP 10 PATENT OWNERS IN US IN LAST 10 YEARS
FIGURE 30 NUMBER OF PATENTS GRANTED PER YEAR FROM 2011 TO 2021
5.9.1 LIST OF MAJOR PATENTS
TABLE 8 LIST OF MAJOR PATENTS IN AI INFRASTRUCTURE MARKET
5.10 TRADE AND TARIFF ANALYSIS
5.10.1 TRADE ANALYSIS
5.10.1.1 Trade data for HS code 854231
FIGURE 31 IMPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION)
FIGURE 32 EXPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION)
5.10.2 TARIFF ANALYSIS
TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2021
TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2021
TABLE 11 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY HONG KONG, CHINA, 2021
TABLE 12 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY SINGAPORE, 2021
TABLE 13 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY MALAYSIA, 2021
5.11 KEY CONFERENCES AND EVENTS DURING 2022–2023
TABLE 14 AI INFRASTRUCTURE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
5.12 REGULATORY LANDSCAPE
5.12.1 EXPORT-IMPORT REGULATIONS
5.12.2 RESTRICTION ON HAZARDOUS SUBSTANCES (ROHS) AND WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT (WEEE)
5.12.3 REGISTRATION, EVALUATION, AUTHORISATION, AND RESTRICTION OF CHEMICALS (REACH)
5.12.4 GENERAL DATA PROTECTION REGULATION (GDPR)
5.13 PORTER'S FIVE FORCES ANALYSIS
TABLE 15 IMPACT OF PORTER'S FIVE FORCES ON AI INFRASTRUCTURE MARKET
FIGURE 33 PORTER'S FIVE FORCES ANALYSIS: AI INFRASTRUCTURE MARKET
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITION RIVALRY
5.14 KEY STAKEHOLDERS & BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 34 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP 3 APPLICATIONS
TABLE 16 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
5.14.2 BUYING CRITERIA
TABLE 17 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
6 AI INFRASTRUCTURE MARKET, BY OFFERING (Page No. - 85)
6.1 INTRODUCTION
FIGURE 35 HARDWARE OFFERINGS EXPECTED TO LEAD AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD
TABLE 18 AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 19 AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
6.2 HARDWARE
TABLE 20 HARDWARE IN AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 21 HARDWARE IN AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
TABLE 22 HARDWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2018–2021 (USD BILLION)
TABLE 23 HARDWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD BILLION)
TABLE 24 HARDWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION, 2018–2021 (USD BILLION)
TABLE 25 HARDWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION, 2022–2027 (USD BILLION)
TABLE 26 HARDWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2018–2021 (USD BILLION)
TABLE 27 HARDWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 28 HARDWARE IN AI INFRASTRUCTURE MARKET, BY END USER, 2018–2021 (USD BILLION)
TABLE 29 HARDWARE IN AI INFRASTRUCTURE MARKET, BY END USER, 2022–2027 (USD BILLION)
6.2.1 PROCESSOR
TABLE 30 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY HARDWARE, 2018–2021 (USD BILLION)
TABLE 31 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY HARDWARE, 2022–2027 (USD BILLION)
TABLE 32 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY HARDWARE, 2018–2021 (MILLION UNITS)
TABLE 33 PROCESSORS IN AI INFRASTRUCTURE MARKET, BY HARDWARE, 2022–2027 (MILLION UNITS)
6.2.1.1 CPU
6.2.1.1.1 CPU to account for largest share of AI infrastructure processor market during forecast period
6.2.1.2 GPU
6.2.1.2.1 NVIDIA is key provider of GPUs for AI infrastructure
6.2.1.3 FPGA
6.2.1.3.1 Xilinx and Intel are major providers of FPGAs for AI infrastructure
6.2.1.4 ASIC
6.2.1.4.1 ASIC expected to register highest CAGR during forecast period
6.2.2 MEMORY
6.2.2.1 High-bandwidth memory, independent of its computing architecture, developed and deployed for AI applications
6.2.3 STORAGE
6.2.3.1 Artificial intelligence and analytics tools used for sorting data
6.2.4 NETWORKING
6.2.4.1 NVIDIA, CISCO, and Intel are key providers of network interconnect adapters for AI applications
6.3 SERVER SOFTWARE
6.3.1 SOFTWARE INTEGRATED INTO EXISTING COMPUTER SYSTEMS PERFORMS COMPLEX OPERATIONS
TABLE 34 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2018–2021 (USD BILLION)
TABLE 35 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD BILLION)
TABLE 36 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION, 2018–2021 (USD BILLION)
TABLE 37 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY FUNCTION, 2022–2027 (USD BILLION)
TABLE 38 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2018–2021 (USD BILLION)
TABLE 39 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
TABLE 40 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY END USER, 2018–2021 (USD BILLION)
TABLE 41 SERVER SOFTWARE IN AI INFRASTRUCTURE MARKET, BY END USER, 2022–2027 (USD BILLION)
7 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY (Page No. - 97)
7.1 INTRODUCTION
FIGURE 36 DEEP LEARNING TECHNOLOGY TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
TABLE 42 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2018–2021 (USD BILLION)
TABLE 43 AI INFRASTRUCTURE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
7.2 MACHINE LEARNING
7.2.1 MACHINE LEARNING ENABLES SYSTEMS TO IMPROVE PERFORMANCE AUTOMATICALLY WITH EXPERIENCE
TABLE 44 AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 45 AI INFRASTRUCTURE MARKET FOR MACHINE LEARNING, BY OFFERING, 2022–2027 (USD BILLION)
7.3 DEEP LEARNING
7.3.1 DEEP LEARNING USES ARTIFICIAL NEURAL NETWORKS TO LEARN MULTIPLE LEVELS OF DATA
TABLE 46 AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 47 AI INFRASTRUCTURE MARKET FOR DEEP LEARNING, BY OFFERING, 2022–2027 (USD BILLION)
8 AI INFRASTRUCTURE MARKET, BY FUNCTION (Page No. - 102)
8.1 INTRODUCTION
FIGURE 37 AI INFRASTRUCTURE MARKET FOR TRAINING FUNCTION TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
TABLE 48 AI INFRASTRUCTURE MARKET, BY FUNCTION, 2018–2021 (USD BILLION)
TABLE 49 AI INFRASTRUCTURE MARKET, BY FUNCTION, 2022–2027 (USD BILLION)
8.2 TRAINING
8.2.1 TRAINING COMPUTATIONALLY INTENSIVE, BEST ACCELERATED WITH GPUS
TABLE 50 AI INFRASTRUCTURE MARKET FOR TRAINING, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 51 AI INFRASTRUCTURE MARKET FOR TRAINING, BY OFFERING, 2022–2027 (USD BILLION)
8.3 INFERENCE
8.3.1 ON-PREMISES INFERENCE PLATFORM ADOPTED TO GAIN FASTER RESULTS THAN CLOUD
TABLE 52 AI INFRASTRUCTURE MARKET FOR INFERENCE, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 53 AI INFRASTRUCTURE MARKET FOR INFERENCE, BY OFFERING, 2022–2027 (USD BILLION)
9 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE (Page No. - 106)
9.1 INTRODUCTION
FIGURE 38 CLOUD DEPLOYMENT IN AI INFRASTRUCTURE MARKET TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
TABLE 54 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2018–2021 (USD BILLION)
TABLE 55 AI INFRASTRUCTURE MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD BILLION)
9.2 ON-PREMISES
9.2.1 DATA-SENSITIVE ENTERPRISES PREFER ON-PREMISES AI SOLUTIONS BASED ON ADVANCED NLP TECHNIQUES AND ML MODELS
TABLE 56 ON-PREMISES AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 57 ON-PREMISES AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
9.3 CLOUD
9.3.1 CLOUD-BASED AI SOLUTIONS PROVIDE FLEXIBLE AND ACCURATE REAL-TIME DATA
TABLE 58 CLOUD-BASED AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 59 CLOUD-BASED AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
9.4 HYBRID
9.4.1 HYBRID INFRASTRUCTURE ENABLES FASTER WORK PROCESSES, SAVES TIME AND MONEY
TABLE 60 HYBRID AI INFRASTRUCTURE MARKET, BY OFFERING, 2018–2021 (USD BILLION)
TABLE 61 HYBRID AI INFRASTRUCTURE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
10 AI INFRASTRUCTURE MARKET, BY END USER (Page No. - 111)
10.1 INTRODUCTION
FIGURE 39 AI INFRASTRUCTURE MARKET, BY END USER (USD BILLION)
TABLE 62 AI INFRASTRUCTURE MARKET, BY END USER, 2018–2021 (USD BILLION)
TABLE 63 AI INFRASTRUCTURE MARKET, BY END USER, 2022–2027 (USD BILLION)
10.2 ENTERPRISES
10.2.1 UTILIZATION OF ADVANCED BIG DATA SOLUTIONS FOR OPERATIONAL DATA EXPLOSION FUELING REQUIREMENTS FOR AI-BASED SERVERS
TABLE 64 AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY REGION, 2018–2021 (USD BILLION)
TABLE 65 AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY REGION, 2022–2027 (USD BILLION)
TABLE 66 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 67 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 68 EUROPE: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 69 EUROPE: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 70 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 71 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 72 REST OF THE WORLD: AI INFRASTRUCTURE MARKET IN ENTERPRISES, BY REGION, 2018–2021 (USD BILLION)
TABLE 73 REST OF THE WORLD: AI INFRASTRUCTURE MARKET ENTERPRISES, BY REGION, 2022–2027 (USD BILLION)
10.3 GOVERNMENT ORGANIZATIONS
10.3.1 GOVERNMENTS WORKING TOWARD IMPLEMENTING AI TO PROTECT CRITICAL GOVERNMENT AND DEFENSE INFRASTRUCTURE
TABLE 74 AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY REGION, 2018–2021 (USD BILLION)
TABLE 75 AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY REGION, 2022–2027 (USD BILLION)
TABLE 76 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 77 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 78 EUROPE: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2018–2021 (USD MILLION)
TABLE 79 EUROPE: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2022–2027 (USD MILLION)
TABLE 80 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 81 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 82 REST OF THE WORLD: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY REGION, 2018–2021 (USD BILLION)
TABLE 83 REST OF THE WORLD: AI INFRASTRUCTURE MARKET IN GOVERNMENT ORGANIZATIONS, BY REGION, 2022–2027 (USD BILLION)
10.4 CLOUD SERVICE PROVIDERS (CSP)
10.4.1 CLOUD SERVICE PROVIDERS DELIVER INDUSTRY-SPECIFIC FUNCTIONALITY AND HELP MEET REGULATORY REQUIREMENTS
TABLE 84 AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY REGION, 2018–2021 (USD BILLION)
TABLE 85 AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY REGION, 2022–2027 (USD BILLION)
TABLE 86 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 87 NORTH AMERICA: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 88 EUROPE: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 89 EUROPE: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 90 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 91 ASIA PACIFIC: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 92 REST OF THE WORLD: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY REGION, 2018–2021 (USD BILLION)
TABLE 93 REST OF THE WORLD: AI INFRASTRUCTURE MARKET IN CLOUD SERVICE PROVIDERS, BY REGION, 2022–2027 (USD BILLION)
11 REGIONAL ANALYSIS (Page No. - 125)
11.1 INTRODUCTION
FIGURE 40 AI INFRASTRUCTURE MARKET: BY REGION
FIGURE 41 ASIA PACIFIC TO WITNESS HIGHEST GROWTH IN AI INFRASTRUCTURE MARKET DURING FORECAST PERIOD
TABLE 94 AI INFRASTRUCTURE MARKET, BY REGION, 2018–2021 (USD BILLION)
TABLE 95 AI INFRASTRUCTURE MARKET, BY REGION, 2022–2027 (USD BILLION)
11.2 NORTH AMERICA
FIGURE 42 NORTH AMERICA: AI INFRASTRUCTURE MARKET, BY COUNTRY
FIGURE 43 NORTH AMERICA: SNAPSHOT OF AI INFRASTRUCTURE MARKET
TABLE 96 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 97 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 98 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY END USER, 2018–2021 (USD BILLION)
TABLE 99 AI INFRASTRUCTURE MARKET IN NORTH AMERICA, BY END USER, 2022–2027 (USD BILLION)
11.2.1 US
11.2.1.1 Improved economy and high disposable income drive demand for modern technologies
TABLE 100 AI INFRASTRUCTURE MARKET IN US, BY END USER, 2018–2021 (USD BILLION)
TABLE 101 AI INFRASTRUCTURE MARKET IN US, BY END USER, 2022–2027 (USD BILLION)
11.2.2 CANADA
11.2.2.1 High adoption of AI technologies
TABLE 102 AI INFRASTRUCTURE MARKET IN CANADA, BY END USER, 2018–2021 (USD BILLION)
TABLE 103 AI INFRASTRUCTURE MARKET IN CANADA, BY END USER, 2022–2027 (USD BILLION)
11.2.3 MEXICO
11.2.3.1 Growing penetration of AI in security and BFSI industries
TABLE 104 AI INFRASTRUCTURE MARKET IN MEXICO, BY END USER, 2018–2021 (USD BILLION)
TABLE 105 AI INFRASTRUCTURE MARKET IN MEXICO, BY END USER, 2022–2027 (USD BILLION)
11.3 EUROPE
FIGURE 44 EUROPE: AI INFRASTRUCTURE MARKET, BY COUNTRY
FIGURE 45 EUROPE: SNAPSHOT OF AI INFRASTRUCTURE MARKET
TABLE 106 AI INFRASTRUCTURE MARKET IN EUROPE, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 107 AI INFRASTRUCTURE MARKET IN EUROPE, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 108 AI INFRASTRUCTURE MARKET IN EUROPE, BY END USER, 2018–2021 (USD BILLION)
TABLE 109 AI INFRASTRUCTURE MARKET IN EUROPE, BY END USER, 2022–2027 (USD BILLION)
11.3.1 UK
11.3.1.1 Government initiatives to increase adoption of AI
TABLE 110 AI INFRASTRUCTURE MARKET IN UK, BY END USER, 2018–2021 (USD BILLION)
TABLE 111 AI INFRASTRUCTURE MARKET IN UK, BY END USER, 2022–2027 (USD BILLION)
11.3.2 GERMANY
11.3.2.1 Adoption of cloud computing and Industry 4.0 to increase demand for data centers
TABLE 112 AI INFRASTRUCTURE MARKET IN GERMANY, BY END USER, 2018–2021 (USD BILLION)
TABLE 113 AI INFRASTRUCTURE MARKET IN GERMANY, BY END USER, 2022–2027 (USD BILLION)
11.3.3 FRANCE
11.3.3.1 Investment from venture capitalists in startups for development of AI ecosystem fueling AI infrastructure market
TABLE 114 AI INFRASTRUCTURE MARKET IN FRANCE, BY END USER, 2018–2021 (USD BILLION)
TABLE 115 AI INFRASTRUCTURE MARKET IN FRANCE, BY END USER, 2022–2027 (USD BILLION)
11.3.4 REST OF EUROPE
11.3.4.1 Government investments expected to drive market
TABLE 116 AI INFRASTRUCTURE MARKET IN REST OF EUROPE, BY END USER, 2018–2021 (USD BILLION)
TABLE 117 AI INFRASTRUCTURE MARKET IN REST OF EUROPE, BY END USER, 2022–2027 (USD BILLION)
11.4 ASIA PACIFIC
FIGURE 46 ASIA PACIFIC: AI INFRASTRUCTURE MARKET, BY COUNTRY
FIGURE 47 ASIA PACIFIC: SNAPSHOT OF AI INFRASTRUCTURE MARKET
TABLE 118 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2018–2021 (USD BILLION)
TABLE 119 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2027 (USD BILLION)
TABLE 120 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC, BY END USER, 2018–2021 (USD BILLION)
TABLE 121 AI INFRASTRUCTURE MARKET IN ASIA PACIFIC, BY END USER, 2022–2027 (USD BILLION)
11.4.1 CHINA
11.4.1.1 Strong R&D activities driving market
TABLE 122 AI INFRASTRUCTURE MARKET IN CHINA, BY END USER, 2018–2021 (USD BILLION)
TABLE 123 AI INFRASTRUCTURE MARKET IN CHINA, BY END USER, 2022–2027 (USD BILLION)
11.4.2 JAPAN
11.4.2.1 Small and medium-sized companies in Japan utilizing infrastructure-as-a-service
TABLE 124 AI INFRASTRUCTURE MARKET IN JAPAN, BY END USER, 2018–2021 (USD BILLION)
TABLE 125 AI INFRASTRUCTURE MARKET IN JAPAN, BY END USER, 2022–2027 (USD BILLION)
11.4.3 INDIA
11.4.3.1 Growing adoption of cloud-based services expected to boost AI infrastructure market
TABLE 126 AI INFRASTRUCTURE MARKET IN INDIA, BY END USER, 2018–2021 (USD BILLION)
TABLE 127 AI INFRASTRUCTURE MARKET IN INDIA, BY END USER, 2022–2027 (USD BILLION)
11.4.4 REST OF ASIA PACIFIC
11.4.4.1 Increasing adoption of cloud services by small and medium-sized enterprises
TABLE 128 AI INFRASTRUCTURE MARKET IN REST OF ASIA PACIFIC, BY END USER, 2018–2021 (USD BILLION)
TABLE 129 AI INFRASTRUCTURE MARKET IN REST OF ASIA PACIFIC, BY END USER, 2022–2027 (USD BILLION)
11.5 REST OF THE WORLD
FIGURE 48 REST OF THE WORLD: AI INFRASTRUCTURE MARKET, BY COUNTRY
TABLE 130 AI INFRASTRUCTURE MARKET IN REST OF THE WORLD, BY REGION, 2018–2021 (USD BILLION)
TABLE 131 AI INFRASTRUCTURE MARKET IN REST OF THE WORLD, BY REGION, 2022–2027 (USD BILLION)
TABLE 132 AI INFRASTRUCTURE MARKET IN REST OF THE WORLD, BY END USER, 2018–2021 (USD BILLION)
TABLE 133 AI INFRASTRUCTURE MARKET IN REST OF THE WORLD, BY END USER, 2022–2027 (USD BILLION)
11.5.1 SOUTH AMERICA
11.5.1.1 Increased availability of computing services
TABLE 134 AI INFRASTRUCTURE MARKET IN SOUTH AMERICA, BY END USER, 2018–2021 (USD BILLION)
TABLE 135 AI INFRASTRUCTURE MARKET IN SOUTH AMERICA, BY END USER, 2022–2027 (USD BILLION)
11.5.2 MIDDLE EAST & AFRICA
11.5.2.1 Smart mobile data traffic to increase workload on data centers, thereby boosting AI server growth
TABLE 136 AI INFRASTRUCTURE MARKET IN MIDDLE EAST & AFRICA, BY END USER, 2018–2021 (USD BILLION)
TABLE 137 AI INFRASTRUCTURE MARKET IN MIDDLE EAST & AFRICA, BY END USER, 2022–2027 (USD BILLION)
12 COMPETITIVE LANDSCAPE (Page No. - 153)
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
TABLE 138 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN AI INFRASTRUCTURE MARKET
12.3 REVENUE ANALYSIS OF TOP PLAYERS
FIGURE 49 FIVE-YEAR REVENUE ANALYSIS OF TOP PLAYERS IN AI INFRASTRUCTURE MARKET, 2017–2021
12.4 SHARE ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE MARKET IN 2021
FIGURE 50 SHARE ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE (PROCESSOR) MARKET IN 2021
TABLE 139 AI INFRASTRUCTURE (PROCESSOR) MARKET: DEGREE OF COMPETITION
TABLE 140 AI INFRASTRUCTURE (PROCESSOR) MARKET RANKING ANALYSIS
FIGURE 51 SHARE ANALYSIS OF KEY PLAYERS IN AI INFRASTRUCTURE (STORAGE) MARKET IN 2021
TABLE 141 AI INFRASTRUCTURE (STORAGE) MARKET: DEGREE OF COMPETITION
TABLE 142 AI INFRASTRUCTURE (STORAGE) MARKET RANKING ANALYSIS
12.5 COMPANY EVALUATION QUADRANT, 2021
12.5.1 STARS
12.5.2 EMERGING LEADERS
12.5.3 PERVASIVE PLAYERS
12.5.4 PARTICIPANTS
FIGURE 52 AI INFRASTRUCTURE MARKET (GLOBAL): COMPANY EVALUATION QUADRANT, 2021
12.6 COMPETITIVE BENCHMARKING
12.6.1 COMPANY FOOTPRINT, BY TECHNOLOGY (20 COMPANIES)
12.6.2 COMPANY FOOTPRINT, BY END USER (20 COMPANIES)
12.6.3 COMPANY FOOTPRINT, BY REGION (20 COMPANIES)
12.6.4 COMPANY PRODUCT FOOTPRINT
12.7 STARTUP/SME EVALUATION QUADRANT, 2021
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
FIGURE 53 AI INFRASTRUCTURE MARKET (GLOBAL): STARTUP/SME EVALUATION QUADRANT, 2021
TABLE 143 AI INFRASTRUCTURE MARKET: LIST OF KEY STARTUPS/SMES
TABLE 144 AI INFRASTRUCTURE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
12.8 COMPETITIVE SCENARIO AND TRENDS
12.8.1 PRODUCT LAUNCHES/DEVELOPMENTS
TABLE 145 AI INFRASTRUCTURE MARKET: PRODUCT LAUNCHES/DEVELOPMENTS, 2020–2022
12.8.2 DEALS
TABLE 146 AI INFRASTRUCTURE MARKET: DEALS, 2020–2022
13 COMPANY PROFILES (Page No. - 170)
13.1 INTRODUCTION
13.2 KEY PLAYERS
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View)*
13.2.1 INTEL CORPORATION
TABLE 147 INTEL CORPORATION: BUSINESS OVERVIEW
FIGURE 54 INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 148 INTEL CORPORATION: PRODUCT LAUNCHES
TABLE 149 INTEL CORPORATION: DEALS
13.2.2 NVIDIA CORPORATION
TABLE 150 NVIDIA CORPORATION: BUSINESS OVERVIEW
FIGURE 55 NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 151 NVIDIA CORPORATION: PRODUCT LAUNCHES
TABLE 152 NVIDIA CORPORATION: DEALS
13.2.3 ADVANCED MICRO DEVICES, INC.
TABLE 153 ADVANCED MICRO DEVICES, INC.: BUSINESS OVERVIEW
FIGURE 56 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
TABLE 154 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
TABLE 155 ADVANCED MICRO DEVICES, INC.: DEALS
13.2.4 SAMSUNG ELECTRONICS CO., LTD.
TABLE 156 SAMSUNG ELECTRONICS CO., LTD.: BUSINESS OVERVIEW
FIGURE 57 SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT
TABLE 157 SAMSUNG ELECTRONICS CO., LTD.: PRODUCT LAUNCHES
TABLE 158 SAMSUNG ELECTRONICS CO., LTD.: DEALS
13.2.5 MICRON TECHNOLOGY, INC.
TABLE 159 MICRON TECHNOLOGY, INC.: BUSINESS OVERVIEW
FIGURE 58 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
TABLE 160 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
TABLE 161 MICRON TECHNOLOGY, INC.: DEALS
13.2.6 INTERNATIONAL BUSINESS MACHINES CORPORATION
TABLE 162 INTERNATIONAL BUSINESS MACHINES CORPORATION: BUSINESS OVERVIEW
FIGURE 59 INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 163 INTERNATIONAL BUSINESS MACHINES CORPORATION.: PRODUCT LAUNCHES
TABLE 164 INTERNATIONAL BUSINESS MACHINES CORPORATION: DEALS
13.2.7 GOOGLE LLC
TABLE 165 GOOGLE LLC: BUSINESS OVERVIEW
FIGURE 60 GOOGLE LLC: COMPANY SNAPSHOT
TABLE 166 GOOGLE LLC: PRODUCT LAUNCHES
TABLE 167 GOOGLE LLC: DEALS
13.2.8 MICROSOFT CORPORATION
TABLE 168 MICROSOFT CORPORATION: BUSINESS OVERVIEW
FIGURE 61 MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 169 MICROSOFT CORPORATION: PRODUCT LAUNCHES
TABLE 170 MICROSOFT CORPORATION: DEALS
13.2.9 AMAZON WEB SERVICES, INC.
TABLE 171 AMAZON WEB SERVICES, INC.: BUSINESS OVERVIEW
FIGURE 62 AMAZON WEB SERVICES, INC.: COMPANY SNAPSHOT
TABLE 172 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
TABLE 173 AMAZON WEB SERVICES, INC.: DEALS
13.2.10 ORACLE CORPORATION
TABLE 174 ORACLE CORPORATION: BUSINESS OVERVIEW
FIGURE 63 ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 175 ORACLE CORPORATION: PRODUCT LAUNCHES
TABLE 176 ORACLE CORPORATION: DEALS
* Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
13.3 OTHER PLAYERS
13.3.1 GRAPHCORE
13.3.2 SK HYNIX INC.
13.3.3 CISCO SYSTEMS, INC.
13.3.4 ARM LIMITED
13.3.5 DELL TECHNOLOGIES
13.3.6 HEWLETT PACKARD ENTERPRISE (HPE)
13.3.7 MIPS
13.3.8 TOSHIBA CORPORATION
13.3.9 GYRFALCON TECHNOLOGY INC.
13.3.10 IMAGINATION TECHNOLOGIES
13.3.11 CAMBRICON TECHNOLOGIES CORP. LTD.
13.3.12 CADENCE DESIGN SYSTEMS, INC.
13.3.13 TENSTORRENT INC.
13.3.14 SYNOPSYS, INC.
13.3.15 SENSETIME GROUP INC.
14 APPENDIX (Page No. - 228)
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
The study involved four major activities in estimating the size of the AI infrastructure market. Exhaustive secondary research was done to collect information on the market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market’s size. After that, market breakdown and data triangulation were used to determine the market sizes of segments and sub-segments.
Secondary Research
The secondary sources referred to for this research study include organizations such as Association for the Advancement of Artificial Intelligence (AAAI), European Association for Artificial Intelligence (EurAI), AI Association of Patent and Trademark Attorneys (AIPAT), Semiconductor Industry Association, Global Association of Risk Professionals, The Storage Networking Industry Association (SNIA), and so on; corporate filings (such as annual reports, investor presentations, and financial statements); and trade, and business. Secondary data has been collected and analyzed to arrive at the overall market size, which is further validated by primary research.
Primary Research
Extensive primary research has been conducted after acquiring an understanding of the AI infrastructure market scenario through secondary research. Several primary interviews have been conducted with market experts from both the demand- (government organizations, enterprises and cloud service providers) and supply-side (hardware providers, software providers, solution providers) players across four major regions, namely, North America, Europe, APAC, and Rest of the World (South America, Middle East & Africa). Approximately 75% and 25% of primary interviews have been conducted from the demand and supply side, respectively. Primary data has been collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and administration, were covered to provide a holistic viewpoint in our report.
After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter experts’ opinions, has led us to the findings as described in the remainder of this report.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the AI infrastructure market. These methods were also extensively used to estimate the sizes of various market sub-segments. The research methodology used to estimate the market sizes includes the following:
- The key players in the market were identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, were determined through primary and secondary research.
All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. Qualitative aspects such as market drivers, restraints, opportunities, and challenges have been taken into consideration while calculating and forecasting the market size.
Global AI Infrastructure Market Size: Bottom-Up Approach
To know about the assumptions considered for the study, Request for Free Sample Report
Data Triangulation
After arriving at the overall market size—using the market size estimation processes explained above—the market was split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives:
- To describe, segment, and forecast the AI infrastructure market by offering, deployment, function, technology, and end user, in terms of value
- To describe, segment, and forecast the AI infrastructure market, by offering, in terms of volume
- To describe and forecast the market for various segments by region—North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
- To provide detailed information regarding drivers, restraints, opportunities, and challenges that influence the growth of the AI infrastructure market
- To provide a detailed overview of the AI infrastructure value chain
- To analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the overall AI infrastructure market
- To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the AI infrastructure market
- To profile key players in the AI infrastructure market and comprehensively analyze their market ranking in terms of revenues, shares, and core competencies2
- To analyze the competitive strategies, such as product launches and developments, partnerships & collaborations, and acquisitions in the global AI infrastructure market
Available Customizations:
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the AI Infrastructure Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Growth opportunities and latent adjacency in AI Infrastructure Market