AI Chipsets Market

AI Chipsets Market by Hardware (Processor, Memory, Network), Technology (Machine Learning, Natural Language Processing, Computer Vision), Function (Training, Interference), End-User Industry and Region - Global Forecast to 2028

Report Code: SE 5997 May, 2023, by marketsandmarkets.com

[295 Pages Report] The AI Chipsets market was valued at USD 51.2 billion in 2023 and is estimated to reach USD 131.8 billion by 2028, registering a CAGR of 20.8% during the forecast period. The growth of AI Chipsets market is driven by the growing demand of data traffic and need for high computing power, rising trend towards autonomous vehicles, and rising trend towards parallel computing in AI data centers.

AI Chipsets Market

AI Chipsets Market

AI Chipsets Market Forecast to 2028

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Market Dynamics:

Drivers: Increasing data traffic and need for high computing power.

A compute-intensive chip is one of the critical parameters for processing AI algorithms; the faster the chip, the quicker it can process the data required to create an AI system. AI chips are mostly deployed in data centers/high-end servers as end computers are incapable of handling such huge workloads and do not have enough power and time frame. AMD offers an EPYC processor series with cloud services, data analytics, and visualization. It features up to 4 TB of memory capacity and 8–10 GB of ethernet speed. It offers advanced I/O integration, flexibility, and security capabilities. AMD EPYC processors are ideally used for cloud computing, high-performance computing (HPC), and many other applications.

Restraint: Lack of AI hardware experts and skilled workforce

AI is a complex system; companies require experts and a skilled workforce to develop, manage, and implement AI systems. For instance, individuals working with artificial intelligence should be learned with technologies such as machine learning (ML), cognitive computing, deep learning, machine intelligence, and image recognition. Adding to this, integration of AI technology in existing systems is a challenging as it requires well-funded in-house R&D and patent filing. Even small errors can interpret into system failure or malfunctioning of a solution, drastically affecting the desired result.

Opportunities: Growing potential of AI based tools in healthcare sector.

AI is one such technology that provides improved services such as monitoring for emergency care, real-time patient data collection and offers preventive healthcare recommendations. AI-based tools can be used for health and wellness services, such as mobile applications, to monitor the movement and activities of patients. The efficient implementation of in-home health monitoring and health information access; personalized health management; and the use of treatment devices (such as better hearing aids; visual assistive devices; and physical assistive devices that include intelligent walkers) are possible with the implementation of AI-based tools. Thus, there is a growing focus on adopting AI-based technologies to support the physical, emotional, social, and mental health of the elderly population worldwide. Future applications may include a combination of multiple AI technologies, such as ML, DL, and computer vision, for pose detection and learning elderly behavioural patterns.

Challenge: Availability of limited structured data to develop efficient AI system

Data is vital for training and developing a complete and robust AI system. Earlier, datasets were mostly structured as the data was entered manually. However, the growing digital footprint and technology trends, such as IoT and Industry 4.0, resulted in the generation of large volumes of data from wearable devices, smart homes, smart thermostats, connected cars, IP cameras, smart appliances, manufacturing machines, industrial equipment, and various other remotely connected devices. This data is largely unstructured and is in the form of text, voice, and images. The lack of an orderly internal structure limits developers from extracting relevant information. However, developers require high-quality labelled data and skilled human trainers to train machine learning tools. Extracting and labelling unstructured data is time-consuming and requires a skilled workforce. Thus, structured data is pivotal in developing an efficient AI system. Companies are now building insights from semi-structured data that facilitates information from groupings.

AI Chipsets Ecosystem

AI Chipsets Market by Ecosystem

The market for processor segment to hold largest market share during the forecast period.

The processor segment accounts for major market share in the AI chipset market and comprises of GPUs, FPGAs, CPUs, ASICs, DSP and microcontrollers. A GPU is designed to promptly manipulate and modify memory to speed the image creation in a frame buffer intended for output on a display device. It is a programmable logic chip that handles graphic applications and display functions that render high-quality images, animations, and videos. GPUs on standalone cards utilize their memory, whereas GPUs in chipsets share the main memory with CPUs. In a traditional setup of GPUs, dynamic random-access memory (DRAM) chips are placed side by side and connected to the GPU via long copper traces on a PCB. GPUs are widely adopted in mobile phones, embedded systems, automotive, personal computers, and gaming consoles, workstations.

Computer vision segment to hold for major share in the AI chipsets market during the forecast period.

Computer vision is concerns the automatic analysis, extraction, and estimation of useful data from a single image or  sequence of images. Computer vision includes the development of  theoretical and algorithmic basis to accomplish an automatic visual understanding. Humans use their eyes and brains to see and visually sense the world around them. Moreover, computer vision aims to give a similar capability to machines, robots, and computers. This technology plays a significant role in semiautonomous and autonomous cars as these cars cannot understand human hand signals or any other gestures without computer vision. In the agriculture industry, computer vision technology is widely used for detecting nutrient deficiency in plants, and monitoring crop health.

Training function to register highest market share of the AI chipsets market during the forecast period

ML and DL training are used in various industries to improve performance and efficiency. A few examples of industries and sectors commonly using AI and ML training include healthcare, finance, retail, transportation, manufacturing, agriculture, telecommunication, media, transportation and logistics, and public services. In May 2022, Microsoft announced the use of MAD’s top-tier M1200 Instinct GPUs to run large-scale AI training in the cloud. Also, it is the first public cloud to deploy clusters to AMD’s flagship M1200 GPUs for large-scale AI training.

Consumer electronics industry for AI chipsets market to hold for largest market share from 2023 to 2028

Consumer electronics is the largest industry where AI is deployed. Devices considered under consumer electronics include smartphones, wearables, entertainment robots, and smart home devices. Smartphones are the major contributors to the AI chipset market for consumer electronics. The increasing trend of smart wearables is likely to propel the growth of the AI chipset market.

Fast processors, superior camera quality, connectivity, and applications have made smartphones the most successful electronic device. Next-generation smartphones will leverage innovations such as 5G connectivity, AI capabilities, machine-learning chips, and more processing power. Using dedicated AI chipsets, mobile AI improves the user experience by bringing AI computing to devices. Leading industry players and manufacturers are developing technologies to integrate dedicated AI chips with their products. The growing requirement for higher security, low latency, faster computing, and less reliance on connectivity will drive the adoption of devices with dedicated AI chips.

The AI chipset market in North America is estimated to account for largest share during the forecast period.

North America holds for major share in the AI chipsets market owing to its advanced infrastructure, and initiatives to evolve AI into robust solutions with innovative benefits. The US market is undergoing a major transformation in implementing AI and Machine Learning based solutions. According to Drift, 27% of adults in the US are ready to purchase basic goods through chatbots; 13% of adults in the US have at least once bought expensive items using chatbots. According to Adobe, 28% of leading companies use AI for marketing, while 31% plan to use AI in the next 12 months. According to Edison, 16% of Americans own smart speakers, including Google Home and Amazon Alexa. Some major vendors (IBM, Google, Intel, and Qualcomm) in the AI chipsets market are headquartered in the US. New players are coming up in the US with innovative offerings to bolster the AI chipsets market growth.

AI Chipsets Market by Region

AI Chipsets Market by Region

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Key Market Players

Major vendors in the AI chipsets companies include Intel Corporation (US), NVIDIA Corporation (US), IBM (US), AMD (US), Micron Technology Inc (US), Qualcomm Technologies, Inc (US), Samsung Electronics Co., Ltd. (South Korea), Apple Inc. (US), Alphabet Inc. (US), Huawei Technologies Co., Ltd. (China), Texas Instruments Incorporated  (US), NXP Semiconductors (Netherlands), Infineon Technologies Inc (Germany), among others. Apart from this, Graphcore (UK), MediaTek Inc. (Taiwan), Analog Devices, Inc. (US), STMicroelectronics (Switzerland), Mythic (US), Kalray (France), Arm Ltd. (UK), Blaize (US), LG Electronics (South Korea), Imagination Technologies (UK), Groq, Inc. (US), Hailo (Israel), Cerebras (US), XMOS (UK), GreenWave (France), SiMa Technologies (US), Kneron (US), Logic Fruit Technologies (India), are among a few emerging companies in the AI chipsets market.

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Scope of the Report

Report Metric

Details

Market size available for years

2019—2028

Base year

2022

Forecast period

2023—2028

Segments covered

Hardware, Technology, Function, End-User Industry, and Region

Geographic regions covered

North America, Europe, Asia Pacific, and RoW

Companies covered

The major players include Intel Corporation (US), NVIDIA Corporation (US), IBM (US), AMD (US), Micron Technology Inc (US), Qualcomm Technologies, Inc (US), Samsung Electronics Co., Ltd. (South Korea), Apple Inc. (US), Alphabet Inc. (US), Huawei Technologies Co., Ltd. (China), Texas Instruments Incorporated  (US), NXP Semiconductors (Netherlands), Infineon Technologies Inc (Germany), and Others- total 31 players have been covered.

AI Chipsets Market Highlights

This research report categorizes the AI Chipsets market Hardware, Technology, Function, End-User Industry, and Region.

Segment

Subsegment

By Hardware:

  • Processors
    • Graphic Processing Unit (GPU)
    • Field Programmable Array (FPGA)
    • Central Processing Unit (CPU)
    • Application-Specific Integrated Circuit (ASIC)
    • Digital Signal Processor (DSP)
    • Microcontroller (MCU)
  • Memory
  • Network
    • Interconnects
    • Ethernet Adapters

By Technology:

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Others
  • Natural Language Processing
  • Context-Aware Computing
  • Computer Vision
  • Predictive Analysis

By Function:

  • Training
  • Inference

By End-User Industry:

  • Consumer Electronics
  • Healthcare
  • Manufacturing
  • Automotive & Transportation
  • Agriculture
  • Retail
  • Cybersecurity
  • Human Resources
  • Marketing
  • Law
  • Fintech
  • Government
  • Others

By Region:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia Pacific
  • Rest of the World (RoW)
    • South America
    • Middle East & Africa

Recent Developments

  • In December 2022, Samsung (South Korea) and NAVER Corporation (South Korea), which operates the search engine Naver, announced a collaboration to develop semiconductor solutions tailored for hyper-scale artificial intelligence (AI) models. The companies intend to pool their hardware and software resources to accelerate massive AI workload handling.
  • In November 2022, Qualcomm Technologies Inc. (US) launched the Snapdragon 8 Generation 2 processor featuring an 8-core CPU and fused AI Neural Network for smartphones, tablets, laptops, and smartwatches applications.
  • In October 2022, Google (US) unveiled the latest Tensor SoC, Tensor G2, of the Pixel 7 series. The SoC features an 8-core CPU with clock speed up to 2.85 GHz, LPDDR5 RAM, and integrated TPU & GPU.

Key Questions Addressed in the Report:

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 29)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 STUDY SCOPE 
           1.3.1 MARKETS COVERED
                    FIGURE 1 AI CHIPSETS MARKET SEGMENTATION
           1.3.2 REGIONAL SCOPE
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
    1.7 RECESSION IMPACT 
           FIGURE 2 GDP GROWTH PROJECTION UNTIL 2023 FOR MAJOR ECONOMIES
           FIGURE 3 PROJECTIONS FOR AI CHIPSETS MARKET, 2019–2028
 
2 RESEARCH METHODOLOGY (Page No. - 36)
    2.1 RESEARCH DATA 
           FIGURE 4 AI CHIPSETS MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews with experts
                    2.1.2.2 Key data from primary sources
                    2.1.2.3 Key industry insights
                    2.1.2.4 Breakdown of primaries
           2.1.3 SECONDARY AND PRIMARY RESEARCH
    2.2 MARKET SIZE ESTIMATION 
           FIGURE 5 RESEARCH FLOW FOR MARKET SIZE ESTIMATION
           FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED FROM SALES OF AI CHIPSETS (FOR CLOUD & DATA CENTRE)
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach to derive market size using bottom-up analysis
                               FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach to derive market size using top-down analysis
           FIGURE 8 TOP-DOWN APPROACH
    2.3 DATA TRIANGULATION 
           FIGURE 9 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS 
    2.5 RISK ASSESSMENT 
           TABLE 1 RISK FACTOR ANALYSIS
    2.6 ASSUMPTIONS TO ANALYZE RECESSION IMPACT 
           TABLE 2 ASSUMPTIONS: RECESSION IMPACT
    2.7 RESEARCH LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 49)
    3.1 GROWTH RATE ASSUMPTIONS/FORECAST 
           FIGURE 10 PROCESSOR SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
           FIGURE 11 COMPUTER VISION SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
           FIGURE 12 INFERENCE SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
           FIGURE 13 CONSUMER ELECTRONICS TO COMMAND AI CHIPSET MARKET FROM 2023 TO 2028
           FIGURE 14 ASIA PACIFIC TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
 
4 PREMIUM INSIGHTS (Page No. - 55)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIPSETS MARKET 
           FIGURE 15 RISING GOVERNMENT-LED INITIATIVES TO BOOST INDUSTRIAL AUTOMATION
    4.2 AI CHIPSET MARKET, BY HARDWARE 
           FIGURE 16 PROCESSOR TO HOLD LARGEST SHARE OF AI CHIPSET MARKET, IN TERMS OF VALUE IN 2028
    4.3 AI CHIPSETS MARKET, BY FUNCTION 
           FIGURE 17 INTERFERENCE SEGMENT TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET IN 2028
    4.4 AI CHIPSET MARKET, BY TECHNOLOGY 
           FIGURE 18 COMPUTER VISION TO CAPTURE LARGEST MARKET SHARE, IN TERMS OF VALUE, IN 2028
    4.5 AI CHIPSET MARKET, BY END-USE INDUSTRY 
           FIGURE 19 CONSUMER ELECTRONICS HELD LARGEST MARKET SHARE, IN 2022
    4.6 AI CHIPSETS MARKET, BY COUNTRY 
           FIGURE 20 CHINA TO REGISTER HIGHEST CAGR IN AI CHIPSETS MARKET BETWEEN 2023 AND 2028
 
5 MARKET OVERVIEW (Page No. - 58)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 21 AI CHIPSETS 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 Emerging trend of autonomous vehicles
                    5.2.1.3 Growing adoption of industrial robots
                    5.2.1.4 Rising focus on parallel computing in AI data centers
                               FIGURE 22 AI CHIPSETS MARKET: IMPACT ANALYSIS OF DRIVERS
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of AI hardware experts and skilled workforce
                               FIGURE 23 AI CHIPSETS MARKET: IMPACT ANALYSIS OF RESTRAINTS
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Surging demand for AI-based field programmable gate array (FPGA) technology
                    5.2.3.2 Integration of AI-based solutions into defense systems
                    5.2.3.3 Growing potential of AI-based tools in healthcare sector
                               FIGURE 24 AI CHIPSETS MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
           5.2.4 CHALLENGES
                    5.2.4.1 Data privacy concerns associated with AI platforms
                    5.2.4.2 Unreliability of AI algorithms
                    5.2.4.3 Availability of limited structured data to develop efficient AI systems
                               FIGURE 25 AI CHIPSETS MARKET: IMPACT ANALYSIS OF CHALLENGES
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 26 AI CHIPSETS MARKET: VALUE CHAIN ANALYSIS
    5.4 ECOSYSTEM ANALYSIS 
           FIGURE 27 AI CHIPSETS MARKET: ECOSYSTEM ANALYSIS
           TABLE 3 AI CHIPSETS MARKET: ROLE OF COMPANIES
    5.5 PORTER’S FIVE FORCES ANALYSIS 
           TABLE 4 AI CHIPSETS MARKET: PORTER’S FIVE FORCES ANALYSIS
           FIGURE 28 AI CHIPSETS MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.5.1 THREAT OF NEW ENTRANTS
           5.5.2 THREAT OF SUBSTITUTES
           5.5.3 BARGAINING POWER OF SUPPLIERS
           5.5.4 BARGAINING POWER OF BUYERS
           5.5.5 INTENSITY OF COMPETITION RIVALRY
    5.6 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.6.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES
                    TABLE 5 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES (%)
           5.6.2 BUYING CRITERIA
                    FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES
                    TABLE 6 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES
    5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 
           FIGURE 31 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN AI CHIPSETS MARKET
    5.8 CASE STUDY ANALYSIS 
           TABLE 7 DFI’S “INDUSTRIAL PI” SINGLE-BOARD COMPUTER LEVERAGES AMD RYZEN EMBEDDED PROCESSORS
           TABLE 8 EXOR INTERNATIONAL DEVELOPS SMART FACTORY SOLUTIONS USING INTEL PROCESSOR
           TABLE 9 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD’S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM
           TABLE 10 AIC HELPS WESTERN DIGITAL ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR
           TABLE 11 BARCO EXPANDED PORTFOLIO OF COLLABORATION SOLUTIONS USING AMD PROCESSOR
    5.9 TECHNOLOGY ANALYSIS 
           5.9.1 KEY TECHNOLOGIES
                    TABLE 12 COMPARISON BETWEEN AI CHIP TYPES
           5.9.2 ADJACENT TECHNOLOGIES
                    5.9.2.1 Cloud GPU
           5.9.3 COMPLEMENTARY TECHNOLOGIES
                    5.9.3.1 Cognitive robots
                    5.9.3.2 Internet of Things (IoT)
    5.10 AVERAGE SELLING PRICE (ASP) ANALYSIS 
           FIGURE 32 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY END-USER INDUSTRY
           5.10.1 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD)
                    TABLE 13 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD)
           5.10.2 AVERAGE SELLING PRICE (ASP) TRENDS
                    FIGURE 33 AVERAGE SELLING PRICE (ASP) ANALYSIS
                    TABLE 14 PRICE COMPARISON OF AI CHIPSETS OFFERED BY LEADING COMPANIES
    5.11 PATENT ANALYSIS 
           FIGURE 34 NUMBER OF PATENTS GRANTED IN AI CHIPSETS MARKET, 2012–2022
           TABLE 15 AI CHIPSETS MARKET: LIST OF MAJOR PATENTS
    5.12 TRADE ANALYSIS 
           TABLE 16 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           FIGURE 35 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           TABLE 17 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           FIGURE 36 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
    5.13 TARIFF ANALYSIS 
           TABLE 18 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY CHINA
           TABLE 19 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY US
           TABLE 20 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY GERMANY
    5.14 STANDARDS AND REGULATORY LANDSCAPE 
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 21 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 22 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 23 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 24 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.14.2 STANDARDS AND REGULATIONS RELATED TO AI CHIPSETS MARKET
    5.15 KEY CONFERENCES AND EVENTS, 2023–2024 
           TABLE 25 AI CHIPSETS MARKET: CONFERENCES AND EVENTS
 
6 AI CHIPSETS MARKET, BY HARDWARE (Page No. - 92)
    6.1 INTRODUCTION 
           FIGURE 37 MEMORY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 26 AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
           TABLE 27 AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
    6.2 PROCESSOR 
           TABLE 28 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2019–2022 (MILLION UNITS)
           TABLE 29 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2023–2028 (MILLION UNITS)
           TABLE 30 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY PROCESSOR TYPE, 2019–2022 (USD MILLION)
           TABLE 31 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY PROCESSOR TYPE, 2023–2028 (USD MILLION)
           TABLE 32 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY PROCESSOR TYPE, 2019–2022 (MILLION UNITS)
           TABLE 33 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY PROCESSOR TYPE, 2023–2028 (MILLION UNITS)
           TABLE 34 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY ASIC, 2019–2022 (USD MILLION)
           TABLE 35 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY ASIC, 2023–2028 (USD MILLION)
           TABLE 36 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY ASIC, 2019–2022 (MILLION UNITS)
           TABLE 37 AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY ASIC, 2023–2028 (MILLION UNITS)
           TABLE 38 AI CHIPSETS MARKET IN EDGE DEVICES, BY PROCESSOR TYPE, 2019–2022 (MILLION UNITS)
           TABLE 39 AI CHIPSETS MARKET IN EDGE DEVICES, BY PROCESSOR TYPE, 2023–2028 (MILLION UNITS)
           TABLE 40 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 41 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
           TABLE 42 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION)
           TABLE 43 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION)
           6.2.1 GRAPHIC PROCESSING UNIT (GPU)
                    6.2.1.1 Provides higher bandwidth than CPUs
                               TABLE 44 GPU BENCHMARKING
           6.2.2 FIELD PROGRAMMABLE GATE ARRAY (FPGA)
                    6.2.2.1 Can be reconfigured and reprogrammed as per requirement
           6.2.3 CENTRAL PROCESSING UNIT (CPU)
                    6.2.3.1 Cost-effective and can handle certain AI algorithms
                               TABLE 45 CPU BENCHMARKING
           6.2.4 APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASIC)
                    6.2.4.1 Offers user-specific customized solutions
                    6.2.4.2 Vision processing unit (VPU)
                               6.2.4.2.1 Increasing demand for VPUs in data center and cloud applications for visual data processing
                    6.2.4.3 Other ASICs
           6.2.5 DIGITAL SIGNAL PROCESSOR (DSP)
                    6.2.5.1 Growing use of DSPs in automotive and aerospace industries
           6.2.6 MICROCONTROLLER (MCU)
                    6.2.6.1 Rising applications of MCUs in factory automation
    6.3 MEMORY 
           6.3.1 DEVELOPED AND DEPLOYED FOR AI APPLICATIONS AND INDEPENDENT OF COMPUTING ARCHITECTURE
                    TABLE 46 MEMORY: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 47 MEMORY: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY REGION, 2023–2028 (USD MILLION)
                    TABLE 48 MEMORY: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 49 MEMORY: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY FUNCTION, 2023–2028 (USD MILLION)
    6.4 NETWORK 
           6.4.1 HELPS TROUBLESHOOT PROBLEMS QUICKLY
                    TABLE 50 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY TYPE, 2019–2022 (USD MILLION)
                    TABLE 51 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY TYPE, 2023–2028 (USD MILLION)
                    TABLE 52 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 53 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY REGION, 2023–2028 (USD MILLION)
                    TABLE 54 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 55 NETWORK: AI CHIPSETS MARKET IN DATA CENTER & CLOUD, BY FUNCTION, 2023–2028 (USD MILLION)
                    6.4.1.1 Interconnects
                               6.4.1.1.1 Rising use of interconnects to facilitate seamless communication among different components within AI systems
                    6.4.1.2 Ethernet Adapter
                               6.4.1.2.1 Growing use of ethernet adapters to optimize network efficiency and data transmission
 
7 AI CHIPSETS MARKET, BY TECHNOLOGY (Page No. - 114)
    7.1 INTRODUCTION 
           FIGURE 38 COMPUTER VISION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 56 AI CHIPSETS MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
           TABLE 57 AI CHIPSETS MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    7.2 MACHINE LEARNING 
           7.2.1 DEEP LEARNING
                    7.2.1.1 Uses artificial neural networks to learn multiple levels of data
           7.2.2 SUPERVISED LEARNING
                    7.2.2.1 Helps in classification and regression of major applications of supervised learning
           7.2.3 UNSUPERVISED LEARNING
                    7.2.3.1 Includes clustering methods consisting of algorithms with unlabeled training data
           7.2.4 REINFORCEMENT LEARNING
                    7.2.4.1 Allows systems and software to determine ideal behavior to maximize system performance
           7.2.5 OTHERS
    7.3 NATURAL LANGUAGE PROCESSING 
           7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS
    7.4 CONTEXT-AWARE COMPUTING 
           7.4.1 USES SUPPLEMENTAL INFORMATION TO IMPROVE SECURITY DECISIONS
    7.5 COMPUTER VISION 
           7.5.1 GIVES HUMAN-LIKE CAPABILITIES TO MACHINES, ROBOTS, AND COMPUTERS
    7.6 PREDICTIVE ANALYSIS 
           7.6.1 WIDELY USED IN HEALTHCARE AND AGRICULTURE INDUSTRIES TO ANALYSE CURRENT DATA AND PREDICT RESULTS OF UNKNOWN FUTURE EVENTS
 
8 AI CHIPSETS MARKET, BY FUNCTION (Page No. - 124)
    8.1 INTRODUCTION 
           FIGURE 39 TRAINING SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
           TABLE 58 AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION)
           TABLE 59 AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION)
    8.2 TRAINING 
           8.2.1 COMPUTATIONALLY INTENSIVE AND BEST ACCELERATED WITH GPUS
                    TABLE 60 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                    TABLE 61 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
    8.3 INFERENCE 
           8.3.1 ON-PREMISES INFERENCE PLATFORM USED TO GAIN FASTER RESULTS THAN CLOUD
                    TABLE 62 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                    TABLE 63 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
 
9 AI CHIPSETS MARKET, BY END-USER INDUSTRY (Page No. - 129)
    9.1 INTRODUCTION 
           FIGURE 40 CONSUMER ELECTRONICS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2028
           TABLE 64 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION)
           TABLE 65 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION)
    9.2 CONSUMER ELECTRONICS 
           9.2.1 INCREASING TREND OF SMART WEARABLES
                    TABLE 66 CONSUMER ELECTRONICS: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 67 CONSUMER ELECTRONICS: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 HEALTHCARE 
           9.3.1 GROWING USE OF MACHINE LEARNING (ML) AND DEEP LEARNING (DL) MODELS
                    TABLE 68 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 69 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 MANUFACTURING 
           9.4.1 GROWING DEMAND FOR AI CHIPSETS IN QUALITY CONTROL AND PREDICTIVE MAINTENANCE
                    TABLE 70 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 71 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 AUTOMOTIVE & TRANSPORTATION 
           9.5.1 RISING ADOPTION OF ADVANCED TECHNOLOGIES
                    TABLE 72 AUTOMOTIVE & TRANSPORTATION: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 73 AUTOMOTIVE & TRANSPORTATION: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.6 AGRICULTURE 
           9.6.1 INCREASING USE OF MACHINE LEARNING (ML) AND COMPUTER VISION TECHNOLOGIES TO DIAGNOSE, MAP, AND EVALUATE CROP HEALTH
                    TABLE 74 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 75 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 RETAIL 
           9.7.1 GROWING ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE
                    TABLE 76 RETAIL: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 77 RETAIL: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 CYBERSECURITY 
           9.8.1 RISING CYBERSECURITY THREATS
                    TABLE 78 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 79 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.9 HUMAN RESOURCES 
           9.9.1 INCREASING DEPLOYMENT OF AI TO RESHAPE OPERATIONS OF COMPANIES
                    TABLE 80 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 81 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.10 MARKETING 
           9.10.1 RISING USE OF AI TO OFFER PROGRAMMATIC TRENDS TO MARKETERS
                    TABLE 82 MARKETING: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 83 MARKETING: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.11 LAW 
           9.11.1 RISING DEPLOYMENT TO INCREASE PRODUCTIVITY AND MARGINS
                    TABLE 84 LAW: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 85 LAW: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.12 FINTECH 
           9.12.1 INCREASED USE BY FINTECH COMPANIES TO DESIGN INVESTMENT STRATEGIES
                    TABLE 86 FINTECH: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 87 FINTECH: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.13 GOVERNMENT 
           9.13.1 GROWING ADOPTION OF AI TO TACKLE CYBERTERRORISM
                    TABLE 88 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 89 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.14 OTHERS 
           TABLE 90 OTHERS: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 91 OTHERS: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 AI CHIPSETS MARKET, BY REGION (Page No. - 151)
     10.1 INTRODUCTION 
             FIGURE 41 ASIA PACIFIC TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET DURING FORECAST PERIOD
             TABLE 92 AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION)
             TABLE 93 AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: RECESSION IMPACT
                        FIGURE 42 NORTH AMERICA: SNAPSHOT OF AI CHIPSETS MARKET
                        TABLE 94 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                        TABLE 95 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                        TABLE 96 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 97 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION)
                        TABLE 98 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 99 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.2.2 US
                        10.2.2.1 Innovations and initiatives to fuel adoption of advanced technologies
             10.2.3 CANADA
                        10.2.3.1 High investments in research and development (R&D)
             10.2.4 MEXICO
                        10.2.4.1 Growing penetration of AI into security and BFSI sectors
     10.3 EUROPE 
             10.3.1 EUROPE: RECESSION IMPACT
                        FIGURE 43 EUROPE: SNAPSHOT OF AI CHIPSETS MARKET
                        TABLE 100 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                        TABLE 101 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                        TABLE 102 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 103 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION)
                        TABLE 104 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 105 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.3.2 UK
                        10.3.2.1 Government initiatives to increase adoption of AI
             10.3.3 GERMANY
                        10.3.3.1 Growing adoption of cloud computing and Industry 4.0 technologies
             10.3.4 FRANCE
                        10.3.4.1 Rising investments by venture capitalists in startups to develop AI ecosystem
             10.3.5 ITALY
                        10.3.5.1 Government-led initiatives to accelerate adoption of AI technology in various sectors
             10.3.6 SPAIN
                        10.3.6.1 Growing adoption of AI technology in finance, healthcare, manufacturing, and transportation sectors
             10.3.7 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: RECESSION IMPACT
                        FIGURE 44 ASIA PACIFIC: SNAPSHOT OF AI CHIPSETS MARKET
                        TABLE 106 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                        TABLE 107 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                        TABLE 108 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 109 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION)
                        TABLE 110 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 111 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.4.2 CHINA
                        10.4.2.1 Significant untapped AI opportunities
             10.4.3 JAPAN
                        10.4.3.1 Expanding finance, healthcare, retail, automotive, and transportation sectors
             10.4.4 INDIA
                        10.4.4.1 Increasing number of AI startups
             10.4.5 SOUTH KOREA
                        10.4.5.1 Growing need for enhanced AI infrastructure
 
     10.5 ROW 
             10.5.1 ROW: RECESSION IMPACT
                        FIGURE 45 ROW: SNAPSHOT OF AI CHIPSETS MARKET
                        TABLE 112 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
                        TABLE 113 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
                        TABLE 114 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION)
                        TABLE 115 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION)
                        TABLE 116 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
                        TABLE 117 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             10.5.2 SOUTH AMERICA
                        10.5.2.1 Increased availability of computing services
             10.5.3 MIDDLE EAST & AFRICA
                        10.5.3.1 Rise in smart mobile data traffic
 
11 COMPETITIVE LANDSCAPE (Page No. - 182)
     11.1 INTRODUCTION 
     11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS 
             TABLE 118 OVERVIEW OF STRATEGIES ADOPTED BY COMPANIES IN AI CHIPSETS MARKET
     11.3 COMPANY REVENUE ANALYSIS, 2020–2022 
             FIGURE 46 THREE-YEAR REVENUE ANALYSIS OF TOP FIVE MARKET PLAYERS
     11.4 MARKET SHARE ANALYSIS, 2022 
             FIGURE 47 MARKET SHARES OF LEADING PLAYERS IN AI CHIPSETS MARKET FOR DATA CENTRE & CLOUD, 2022
             TABLE 119 AI CHIPSETS MARKET: DEGREE OF COMPETITION
             FIGURE 48 MARKET SHARE OF KEY PLAYERS IN AI CHIPSETS MARKET FOR EDGE DEVICES, 2022
             TABLE 120 AI CHIPSETS MARKET: DEGREE OF COMPETITION
     11.5 COMPANY EVALUATION QUADRANT, 2022 
             11.5.1 STARS
             11.5.2 EMERGING LEADERS
             11.5.3 PERVASIVE PLAYERS
             11.5.4 PARTICIPANTS
                        FIGURE 49 AI CHIPSETS MARKET (GLOBAL): COMPANY EVALUATION QUADRANT, 2022
     11.6 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT, 2022 
             11.6.1 PROGRESSIVE COMPANIES
             11.6.2 RESPONSIVE COMPANIES
             11.6.3 DYNAMIC COMPANIES
             11.6.4 STARTING BLOCKS
                        FIGURE 50 AI CHIPSETS MARKET: SMES EVALUATION QUADRANT, 2022
     11.7 COMPETITIVE BENCHMARKING 
             TABLE 121 COMPANY FOOTPRINT
             TABLE 122 HARDWARE: COMPANY FOOTPRINT
             TABLE 123 END-USER INDUSTRY: COMPANY FOOTPRINT
             TABLE 124 REGION: COMPANY FOOTPRINT
     11.8 STARTUP EVALUATION QUADRANT, 2022 
             11.8.1 LIST OF STARTUPS
                        TABLE 125 STARTUP MATRIX: DETAILED LIST OF KEY STARTUPS
             11.8.2 COMPETITIVE BENCHMARKING OF KEY STARTUPS
                        TABLE 126 OVERALL STARTUP FOOTPRINT
                        TABLE 127 HARDWARE: STARTUP FOOTPRINT
                        TABLE 128 END-USER INDUSTRY: STARTUP FOOTPRINT
                        TABLE 129 REGION: STARTUP FOOTPRINT
     11.9 COMPETITIVE SCENARIO AND TRENDS 
             TABLE 130 AI CHIPSETS MARKET: PRODUCT LAUNCHES, AUGUST 2019–NOVEMBER 2022
             TABLE 131 AI CHIPSETS MARKET: DEALS, OCTOBER 2020–DECEMBER 2022
 
12 COMPANY PROFILES (Page No. - 210)
(Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*  
     12.1 KEY PLAYERS 
             12.1.1 INTEL CORPORATION
                        TABLE 132 INTEL CORPORATION: COMPANY OVERVIEW
                        FIGURE 51 INTEL CORPORATION: COMPANY SNAPSHOT
                        TABLE 133 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 134 INTEL CORPORATION: PRODUCT LAUNCHES
                        TABLE 135 INTEL CORPORATION: DEALS
             12.1.2 NVIDIA CORPORATION
                        TABLE 136 NVIDIA CORPORATION: COMPANY OVERVIEW
                        FIGURE 52 NVIDIA CORPORATION: COMPANY SNAPSHOT
                        TABLE 137 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 138 NVIDIA CORPORATION: PRODUCT LAUNCHES
                        TABLE 139 NVIDIA CORPORATION: DEALS
             12.1.3 ADVANCED MICRO DEVICES, INC.
                        TABLE 140 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
                        FIGURE 53 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
                        TABLE 141 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 142 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
                        TABLE 143 ADVANCED MICRO DEVICES, INC.: DEALS
             12.1.4 MICRON TECHNOLOGY, INC.
                        TABLE 144 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
                        FIGURE 54 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
                        TABLE 145 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 146 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
                        TABLE 147 MICRON TECHNOLOGY, INC.: DEALS
             12.1.5 QUALCOMM TECHNOLOGIES, INC.
                        TABLE 148 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
                        FIGURE 55 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
                        TABLE 149 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 150 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
                        TABLE 151 QUALCOMM TECHNOLOGIES, INC.: DEALS
             12.1.6 SAMSUNG ELECTRONICS CO., LTD.
                        TABLE 152 SAMSUNG ELECTRONICS CO., LTD.: COMPANY OVERVIEW
                        FIGURE 56 SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT
                        TABLE 153 SAMSUNG ELECTRONICS CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 154 SAMSUNG ELECTRONICS CO., LTD.: PRODUCT LAUNCHES
                        TABLE 155 SAMSUNG ELECTRONICS CO., LTD.: DEALS
             12.1.7 APPLE INC.
                        TABLE 156 APPLE INC.: COMPANY OVERVIEW
                        FIGURE 57 APPLE INC.: COMPANY SNAPSHOT
                        TABLE 157 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 158 APPLE INC.: PRODUCT LAUNCHES
             12.1.8 IBM
                        TABLE 159 IBM: COMPANY OVERVIEW
                        FIGURE 58 IBM: COMPANY SNAPSHOT
                        TABLE 160 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 161 IBM: PRODUCT LAUNCHES
                        TABLE 162 IBM: DEALS
             12.1.9 ALPHABET INC.
                        TABLE 163 ALPHABET INC.: COMPANY OVERVIEW
                        FIGURE 59 ALPHABET INC.: COMPANY SNAPSHOT
                        TABLE 164 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 165 ALPHABET INC.: PRODUCT LAUNCHES
                        TABLE 166 ALPHABET INC.: DEALS
             12.1.10 HUAWEI TECHNOLOGIES CO., LTD.
                        TABLE 167 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
                        FIGURE 60 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
                        TABLE 168 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 169 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
                        TABLE 170 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
             12.1.11 TEXAS INSTRUMENTS INCORPORATED
                        TABLE 171 TEXAS INSTRUMENTS INCORPORATED: COMPANY OVERVIEW
                        FIGURE 61 TEXAS INSTRUMENTS INCORPORATED: COMPANY SNAPSHOT
                        TABLE 172 TEXAS INSTRUMENTS INCORPORATED: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 173 TEXAS INSTRUMENTS INCORPORATED: PRODUCT LAUNCHES
                        TABLE 174 TEXAS INSTRUMENTS INCORPORATED: DEALS
                        TABLE 175 TEXAS INSTRUMENTS INCORPORATED: OTHERS
             12.1.12 NXP SEMICONDUCTORS
                        TABLE 176 NXP SEMICONDUCTORS: COMPANY OVERVIEW
                        FIGURE 62 NXP SEMICONDUCTORS: COMPANY SNAPSHOT
                        TABLE 177 NXP SEMICONDUCTORS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 178 NXP SEMICONDUCTORS: PRODUCT LAUNCHES
                        TABLE 179 NXP SEMICONDUCTORS :DEALS
             12.1.13 INFINEON TECHNOLOGIES AG
                        TABLE 180 INFINEON TECHNOLOGIES AG: COMPANY OVERVIEW
                        FIGURE 63 INFINEON TECHNOLOGIES AG: COMPANY SNAPSHOT
                        TABLE 181 INFINEON TECHNOLOGIES AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 182 INFINEON TECHNOLOGIES AG: PRODUCT LAUNCHES
                        TABLE 183 INFINEON TECHNOLOGIES AG: DEALS
     12.2 OTHER PLAYERS 
             12.2.1 GRAPHCORE
             12.2.2 MEDIATEK INC.
             12.2.3 ANALOG DEVICES, INC.
             12.2.4 STMICROELECTRONICS
             12.2.5 MYTHIC
             12.2.6 KALRAY
             12.2.7 ARM LIMITED
             12.2.8 BLAIZE
             12.2.9 LG ELECTRONICS
             12.2.10 IMAGINATION TECHNOLOGIES
             12.2.11 GROQ, INC.
             12.2.12 HAILO
             12.2.13 CEREBRAS
             12.2.14 XMOS
             12.2.15 GREENWAVE TECHNOLOGIES
             12.2.16 SIMA TECHNOLOGIES, INC.
             12.2.17 KNERON, INC.
             12.2.18 LOGIC FRUIT TECHNOLOGIES
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.  
 
13 APPENDIX (Page No. - 288)
     13.1 DISCUSSION GUIDE 
     13.2 KNOWLEDGESTORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL 
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     13.4 RELATED REPORTS 
     13.5 AUTHOR DETAILS 
 

 

The research study involved the extensive use of secondary sources, directories, and databases (annual reports or presentations of companies, industry association publications, directories, technical handbooks, World Economic Outlook (WEO), trade websites, Hoovers, Bloomberg Businessweek, Factiva, and OneSource) to identify and collect information useful for this technical, market-oriented, and commercial study of the AI Chipsets market. Primary sources mainly comprise several experts from the core and related industries, along with preferred suppliers, manufacturers, distributors, service providers, system providers, technology developers, alliances, and standards and certification organizations related to various phases of this industry’s value chain.

Secondary Research

Various secondary sources have been referred to in the secondary research process for identifying and collecting information important for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), geographic markets, and key developments from both market- and technology-oriented perspectives. The secondary data has been collected and analyzed to determine the overall market size, further validated by primary research.

Primary Research

In the primary research process, various primary sources from the supply and demand sides have been interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include industry experts, such as CEOs, vice presidents, marketing directors, technology & innovation directors, and related key executives from key companies and organizations operating in the AI Chipsets market across four major regions: North America, Europe, Asia Pacific, and RoW (South America, and Middle East and Africa). Primary data has been collected through questionnaires, e-mails, and telephonic interviews. Approximately 40% and 60% of primary interviews have been conducted from the demand and supply sides, respectively.

AI Chipsets Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches have been used along with several data triangulation methods to perform market estimation and forecasting for the overall market segments and subsegments listed in this report. Key players in the market have been identified through secondary research, and their market shares in the respective regions have been determined through primary and secondary research. This entire procedure includes the study of annual and financial reports of the top market players and extensive interviews for key insights (quantitative and qualitative) with industry experts (CEOs, VPs, directors, and marketing executives).

In this approach, important players, such Intel Corporation (US), NVIDIA Corporation (US), IBM (US), AMD (US), and Micron Technology, Inc. (US) have been identified. After confirming these companies through primary interviews with industry experts, their total revenue has been estimated by referring to annual reports, SEC filings, and paid databases. Revenues of these companies pertaining to the business units (Bus) that offer AI Chipsets have been identified through similar sources. Industry experts have reconfirmed these revenues through primary interviews.

AI Chipsets Market: Bottom-Up Approach

Artificial Intelligence (chipsets) Market Size, and Bottom-Up Approach

The bottom-up approach has been employed to arrive at the overall size of the AI Chipsets market from the revenues of key players and their share in the market.

AI Chipsets Market: Top-Down Approach

Artificial Intelligence (chipsets) Market Size, and Top-Down Approach

In the top-down approach, the overall market size has been used to estimate the size of the individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research. The most appropriate immediate parent market size has been used to implement the top-down approach to calculate the market size of specific segments. The top-down approach has been implemented for the data extracted from the secondary research to validate the market size obtained.
Each company’s market share has been estimated to verify the revenue shares used earlier in the supply-side approach. The overall parent market size and individual market sizes were determined and confirmed in this study by the data triangulation method and the validation of data through primaries. The data triangulation method used in this study is explained in the next section.

Data Triangulation

After arriving at the overall market size from the market size estimation process explained earlier, the total market was split into several segments and subsegments. Data triangulation and market breakdown procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the AI Chipsets market has been validated using both top-down and bottom-up approaches.

Market Definition

Al chipset, also known as an Al processor, is a specialized hardware component designed to accelerate the processing of artificial intelligence (Al) workloads. These workloads involve computationally intensive tasks such as machine learning, deep learning, natural language processing, and computer vision. Al chipsets in cloud and data centers are entirely high-performance chips designed to handle compute-intensive training and high-volume interference workloads.

Artificial intelligence (AI) technology is now implemented in smartphones, automobiles, drones, and robots. Edge Al is the combination of edge computing and artificial intelligence. Edge Al is the implementation of Al applications in devices throughout the physical world. In this technique, the computation of Al is done near the user at the edge of the network, close to where the data is located, rather than centrally in a cloud computing facility or at private data centers. Edge Al offers a way to process data faster than cloud processing. The release of low-power and high-computing processors has led to the integration Al algorithms into devices. Developing dedicated Al processors for edge devices has resulted in Al inference performed on devices rather than the cloud platform.

Key Stakeholders

  • Government and financial institutions and investment communities
  • Analysts and strategic business planners
  • Semiconductor product designers and fabricators
  • Application providers
  • Al solution providers
  • Al platform providers
  • Business providers
  • Professional service/solution providers
  • Research organizations
  • Technology standard organizations, forums, alliances, and associations
  • Technology investors

Report Objectives

  • To define, describe, and forecast the Al chipsets market based on technology, hardware, function, and end-user industry (for both cloud and data center, and edge)
  • To forecast the size of the market segments for four major regions-North America, Europe, Asia Pacific, and the Rest of the World (ROW)
  • To forecast the size and market segments of the Al chipsets market by volume based on processors (for both cloud and data center and edge devices)
  • To forecast the size and market segments of the Al chipsets market by revenue based on processors (for Cloud and data center)
  • The scope of processors in the Al chipset market for Cloud and data centers includes CPU, GPU, ASIC, and FPGA.
  • The processor scope in the Al chipset market for edge devices includes CPU, GPU, ASIC, FPGA, DSP, and Microcontrollers.
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micrornarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To study the complete value chain and allied industry segments and perforin a market value chain analysis
  • To strategically profile the key players and comprehensively analyze their market shares and core competencies
  • To analyze the opportunities in the market for stakeholders and describe the competitive landscape of the market
  • To analyze competitive developments such as collaborations, agreements, partnerships, product developments, and research & development (R&D) in the market
  • To analyze the impact of the recession on the Al chipsets market

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Report Code
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Published ON
May, 2023
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