AI Chip Market by Offerings (GPU, CPU, FPGA, NPU, TPU, Trainium, Inferentia, T-head, Athena ASIC, MTIA, LPU, Memory (DRAM (HBM, DDR)), Network (NIC/Network Adapters, Interconnects)), Function (Training, Inference) & Region – Global Forecast to 2029
The AI Chip market is projected to grow from USD 123.2 billion in 2024 and is estimated to reach USD 311.58 billion by 2029; it is expected to grow at a CAGR of 20.4% from 2024 to 2029.
The market for AI chips is expected to grow due to increasing adoption of machine learning and deep learning algorithms. The increase in AI server shipments will boost the demand for chips supporting AI capabilities. Moreover, the emerging trend of autonomous vehicles is expected to boost the market for AI chips used for real-time decision making.
“The Neural Processing Unit (NPU) segment is projected to grow at a high rate during the forecast period.”
The Neural Processing Unit (NPU) segment is projected grow at a high rate in the AI chip market from 2024 to 2029. The market growth is attributed to the increasing adoption of high-end smartphones and AI PCs and laptops which requires dedicated AI capabilities at the edge. The NPUs helps to accelerate the neural network processing to perform the AI-driven tasks including advanced AI image processing and natural language processing. Market players are extensively focusing on developing high-end NPU solutions to stay competitive in the market. For instance, in September 2023, Apple Inc. (US) launched the iPhone 15 Pro series, featuring the A17 Pro chip. The new AI processor is incorporated with a dedicated 16-core Neural Engine which has capabilities of performing 35 trillion operations per second (TOPS). Such significant product developments and launches are expected to amplify the adoption of NPUs in the market over the forecast timeframe.
“Machine Learning segment of the AI Chip market to witness high market share during the forecast period.”
The machine learning segment in AI chip market is expected to grow at a high rate during the forecast period. AI chips are critical in running large datasets to process and enable predictive analytics, supporting real-time decision-making, as they are optimized to machine learning tasks such as training and inference. For this category of AI chips, the foremost drivers of adoption were flexibility and scalability of machine learning models within autonomous systems and personalized recommendations. This AI chip is widely used in many sectors—from cloud services and healthcare to finance, automotive, and retail—in which companies are developing powerful AI chips in support of machine learning capabilities, where business insights can be gained, the customer experience improved, and efficiency generally jacked. For instance, Google (US) announced Trillium in May 2024 as its sixth-generation TPU. It focuses on its cloud platform with an onboard accelerator for machine learning workload acceleration. Enterprises that have adopted TPUs widely bring machine learning power to predictive analytics, personalization, and operational efficiency. This represents increasing dependence on AI chips in this domain. As businesses seek to exploit the power of data for insight, efficiencies, and customer experience, demand is surging for machine learning capabilities.
“North America to hold a major market share of the AI chip market during the forecast period” North America took the largest market share for the AI chip market in 2023. The presence of prominent technology firms and data center operators are driving the AI chip market across North America region. The region hosts companies such as NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (AMD) (US), Google (US); and cloud service providers include Amazon Web Services, Inc. (AWS) (US), Microsoft Azure (US), and Google Cloud (US). For instance, in April 2024, Google (US) announced a USD 3 billion investment to expand their data centers across the US. These data centers are further backed by AI infrastructure to provide real-time services across the world. The region also hosts several startups set up in the area for providing AI chips for data centers, which include SAPEON Inc. (US), Tenstorrent (Canada), Taalas (Canada), Kneron, Inc. (US), SambaNova Systems, Inc. (US). North America has a well-established technological infrastructure that supports advanced AI research and development. There are very many modern data centers in this region, equipped with state-of-the-art AI hardware. They may include GPUs and TPUs, as well as specialized AI chips. The presence of large scale data centers and leading AI chip developers in the region are driving the market growth of AI chips.
Extensive primary interviews were conducted with key industry experts in the AI chip market to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below:
The break-up of the profile of primary participants in the AI chip market:
Apart from this, Mythic (US), Kalray (France), Blaize (US), Groq, Inc. (US), HAILO TECHNOLOGIES LTD (Israel), GreenWaves Technologies (France), SiMa Technologies, Inc. (US), Kneron, Inc. (US), Rain Neuromorphics Inc. (US), Tenstorrent (Canada), SambaNova Systems, Inc. (US), Taalas (Canada), SAPEON Inc. (US), Rebellions Inc. (South Korea), Rivos Inc. (US), and Shanghai BiRen Technology Co., Ltd. (China) are among a few emerging companies in the AI chip market.
Research Coverage: This research report categorizes the AI Chip market on the basis of offerings, function, technology, end user, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI chip market and forecasts the same till 2029. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI chip ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI chip market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
The market for AI chips is expected to grow due to increasing adoption of machine learning and deep learning algorithms. The increase in AI server shipments will boost the demand for chips supporting AI capabilities. Moreover, the emerging trend of autonomous vehicles is expected to boost the market for AI chips used for real-time decision making.
“The Neural Processing Unit (NPU) segment is projected to grow at a high rate during the forecast period.”
The Neural Processing Unit (NPU) segment is projected grow at a high rate in the AI chip market from 2024 to 2029. The market growth is attributed to the increasing adoption of high-end smartphones and AI PCs and laptops which requires dedicated AI capabilities at the edge. The NPUs helps to accelerate the neural network processing to perform the AI-driven tasks including advanced AI image processing and natural language processing. Market players are extensively focusing on developing high-end NPU solutions to stay competitive in the market. For instance, in September 2023, Apple Inc. (US) launched the iPhone 15 Pro series, featuring the A17 Pro chip. The new AI processor is incorporated with a dedicated 16-core Neural Engine which has capabilities of performing 35 trillion operations per second (TOPS). Such significant product developments and launches are expected to amplify the adoption of NPUs in the market over the forecast timeframe.
“Machine Learning segment of the AI Chip market to witness high market share during the forecast period.”
The machine learning segment in AI chip market is expected to grow at a high rate during the forecast period. AI chips are critical in running large datasets to process and enable predictive analytics, supporting real-time decision-making, as they are optimized to machine learning tasks such as training and inference. For this category of AI chips, the foremost drivers of adoption were flexibility and scalability of machine learning models within autonomous systems and personalized recommendations. This AI chip is widely used in many sectors—from cloud services and healthcare to finance, automotive, and retail—in which companies are developing powerful AI chips in support of machine learning capabilities, where business insights can be gained, the customer experience improved, and efficiency generally jacked. For instance, Google (US) announced Trillium in May 2024 as its sixth-generation TPU. It focuses on its cloud platform with an onboard accelerator for machine learning workload acceleration. Enterprises that have adopted TPUs widely bring machine learning power to predictive analytics, personalization, and operational efficiency. This represents increasing dependence on AI chips in this domain. As businesses seek to exploit the power of data for insight, efficiencies, and customer experience, demand is surging for machine learning capabilities.
“North America to hold a major market share of the AI chip market during the forecast period” North America took the largest market share for the AI chip market in 2023. The presence of prominent technology firms and data center operators are driving the AI chip market across North America region. The region hosts companies such as NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (AMD) (US), Google (US); and cloud service providers include Amazon Web Services, Inc. (AWS) (US), Microsoft Azure (US), and Google Cloud (US). For instance, in April 2024, Google (US) announced a USD 3 billion investment to expand their data centers across the US. These data centers are further backed by AI infrastructure to provide real-time services across the world. The region also hosts several startups set up in the area for providing AI chips for data centers, which include SAPEON Inc. (US), Tenstorrent (Canada), Taalas (Canada), Kneron, Inc. (US), SambaNova Systems, Inc. (US). North America has a well-established technological infrastructure that supports advanced AI research and development. There are very many modern data centers in this region, equipped with state-of-the-art AI hardware. They may include GPUs and TPUs, as well as specialized AI chips. The presence of large scale data centers and leading AI chip developers in the region are driving the market growth of AI chips.
Extensive primary interviews were conducted with key industry experts in the AI chip market to determine and verify the market size for various segments and subsegments gathered through secondary research. The break-up of primary participants for the report has been shown below:
The break-up of the profile of primary participants in the AI chip market:
- By Company Type: Tier 1 – 45%, Tier 2 – 32%, and Tier 3 – 23%
- By Designation: C-level – 30%, Director Level – 45%, Others- 25%
- By Region: North America – 26%, Europe – 40%, Asia Pacific – 22%, ROW- 12%
Apart from this, Mythic (US), Kalray (France), Blaize (US), Groq, Inc. (US), HAILO TECHNOLOGIES LTD (Israel), GreenWaves Technologies (France), SiMa Technologies, Inc. (US), Kneron, Inc. (US), Rain Neuromorphics Inc. (US), Tenstorrent (Canada), SambaNova Systems, Inc. (US), Taalas (Canada), SAPEON Inc. (US), Rebellions Inc. (South Korea), Rivos Inc. (US), and Shanghai BiRen Technology Co., Ltd. (China) are among a few emerging companies in the AI chip market.
Research Coverage: This research report categorizes the AI Chip market on the basis of offerings, function, technology, end user, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI chip market and forecasts the same till 2029. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI chip ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI chip market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (increasing data traffic and need for high computing power, emerging trend of autonomous vehicles, growing adoption of industrial robots, rising focus on parallel computing in AI data centers, increasing adoption of machine learning and deep learning algorithms, increase in AI server shipments to boost the demand for AI chips), restraints (lack of AI hardware experts and skilled workforce, increasing power consumption), opportunities (surging demand for AI-based field programmable gate array (FPGA) technology, integration of AI-based solutions into defense systems, growing potential of AI-based tools in healthcare sector, planned investments in data centers by cloud service providers, rise of ASICs based on AI technology), and challenges (data privacy concerns associated with AI platforms, unreliability of AI algorithms, availability of limited structured data to develop efficient AI systems, supply chain disruptions) influencing the growth of the AI Chip market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI chip market.
- Market Development: Comprehensive information about lucrative markets – the report analysis the AI chip market across various regions
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the Ai Chip market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and product offerings of leading players like NVIDIA Corporation (US), Intel Corporation (US), Advanced Micro Devices, Inc. (US), Micron Technology, Inc. (US), Google (US), among others in the AI Chip market.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY AND PRIMARY RESEARCH
2.1.2 SECONDARY DATA
2.1.2.1 List of key secondary sources
2.1.2.2 Key data from secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 List of primary interview participants
2.1.3.2 Breakdown of primaries
2.1.3.3 Key data from primary sources
2.1.3.4 Key industry insights
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ANALYSIS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIP MARKET
4.2 AI CHIP MARKET, BY COMPUTE
4.3 AI CHIP MARKET, BY MEMORY
4.4 AI CHIP MARKET, BY NETWORK
4.5 AI CHIP MARKET, BY TECHNOLOGY AND FUNCTION
4.6 AI CHIP MARKET, BY END USER
4.7 AI CHIP MARKET, BY REGION
4.8 AI CHIP MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Pressing need for large-scale data handling and real-time analytics
5.2.1.2 Rising adoption of autonomous vehicles
5.2.1.3 Surging use of GPUs and ASICs in AI servers
5.2.1.4 Continuous advancements in machine learning and deep
learning technologies
5.2.1.5 Increasing penetration of AI servers
5.2.2 RESTRAINTS
5.2.2.1 Shortage of skilled workforce with technical know-how
5.2.2.2 Computational workloads and power consumption in AI Chip
5.2.2.3 Unreliability of AI algorithms
5.2.3 OPPORTUNITIES
5.2.3.1 Elevating demand for AI-based FPGA chips
5.2.3.2 Government initiatives to deploy AI-enabled defense systems
5.2.3.3 Rising trend of AI-driven diagnostics and treatments
5.2.3.4 Increasing investments in AI-enabled data centers by
cloud service providers
5.2.3.5 Rise in adoption of AI-based ASIC technology
5.2.4 CHALLENGES
5.2.4.1 Data privacy concerns associated with AI platforms
5.2.4.2 Availability of limited structured data to develop efficient AI systems
5.2.4.3 Supply chain disruptions
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY COMPUTE
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 High-bandwidth Memory (HBM)
5.8.1.2 GenAI workload
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Data center power management and cooling system
5.8.2.2 High-speed interconnects
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 AI development frameworks
5.8.3.2 Quantum AI
5.9 SERVER COST STRUCTURE/BILL OF MATERIAL
5.9.1 CPU SERVER
5.9.2 GPU SERVER
5.10 PENETRATION AND GROWTH OF AI SERVERS
5.11 UPCOMING DEPLOYMENT OF DATA CENTERS BY CLOUD SERVICE PROVIDERS (CSPS)
5.12 CLOUD SERVICE PROVIDERS’ CAPEX
5.13 SERVER PROCUREMENT BY CLOUD SERVICE PROVIDERS, 2020–2029
5.14 PROCESSOR BENCHMARKING
5.14.1 GPU BENCHMARKING
5.14.2 CPU BENCHMARKING
5.15 PATENT ANALYSIS
5.16 TRADE ANALYSIS
5.16.1 IMPORT SCENARIO (HS CODE 854231)
5.16.2 EXPORT SCENARIO (HS CODE 854231)
5.17 KEY CONFERENCES AND EVENTS, 2024–2025
5.18 CASE STUDY ANALYSIS
5.18.1 CDW INTEGRATED AMD EPYC SOLUTIONS TO ENSURE ENERGY EFFICIENCY AND OPTIMUM SPACE UTILIZATION
5.18.2 OVH SAS LEVERAGED AMD EPYC PROCESSOR TO OPTIMIZE PERFORMANCE OF CLOUD SOLUTIONS IN AI WORKLOADS
5.18.3 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD’S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM
5.18.4 AIC HELPS WESTERN DIGITAL TO ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR
5.19 REGULATORY LANDSCAPE
5.19.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
5.19.2 STANDARDS
5.20 PORTER’S FIVE FORCES ANALYSIS
5.20.1 THREAT OF NEW ENTRANTS
5.20.2 THREAT OF SUBSTITUTES
5.20.3 BARGAINING POWER OF SUPPLIERS
5.20.4 BARGAINING POWER OF BUYERS
5.20.5 INTENSITY OF COMPETITION RIVALRY
5.21 KEY STAKEHOLDERS AND BUYING CRITERIA
5.21.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.21.2 BUYING CRITERIA
6 AI CHIP MARKET, BY COMPUTE
6.1 INTRODUCTION
6.2 GPU
6.2.1 ABILITY TO HANDLE AI WORKLOADS AND PROCESS VAST DATA VOLUMES
TO BOOST ADOPTION
6.3 CPU
6.3.1 RISING DEMAND FOR VERSATILE AND GENERAL-PURPOSE
AI PROCESSING TO AUGMENT MARKET GROWTH
6.4 FPGA
6.4.1 GROWING NEED FOR FLEXIBILITY AND CUSTOMIZATION FOR
AI WORKLOADS TO SPUR DEMAND
6.5 NPU
6.5.1 RISING DEMAND FOR HIGH-END SMARTPHONES TO
DRIVE SEGMENTAL GROWTH
6.6 TPU
6.6.1 PRESSING NEED FOR FASTER PROCESSING IN AI RESEARCH AND APPLICATION DEVELOPMENT TO BOOST DEMAND
6.7 DOJO & FSD
6.7.1 ACCELERATING DEMAND FOR HIGH-PERFORMANCE, ENERGY-EFFICIENT AI PROCESSING IN AUTONOMOUS VEHICLES TO FUEL ADOPTION
6.8 TRAINIUM & INFERENTIA
6.8.1 ABILITY TO TRAIN COMPLEX AI AND DEEP LEARNING MODELS
TO DRIVE ADOPTION
6.9 ATHENA ASIC
6.9.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED AI TASKS TO ACCELERATE MARKET GROWTH
6.10 T-HEAD
6.10.1 RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI CHIPS ACROSS CHINESE DATA CENTERS TO STIMULATE MARKET GROWTH
6.11 MTIA
6.11.1 META'S EXPANSION INTO AR, VR, AND METAVERSE TO
FUEL MARKET GROWTH
6.12 LPU
6.12.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED
AI TASKS TO ACCELERATE MARKET GROWTH
6.13 OTHER ASIC
7 AI CHIP MARKET, BY MEMORY
7.1 INTRODUCTION
7.2 DDR
7.2.1 RISING ADOPTION OF AI-ENABLED CPUS IN DATA CENTERS TO
SUPPORT MARKET GROWTH
7.3 HBM
7.3.1 ELEVATING NEED FOR HIGH THROUGHPUT IN DATA-INTENSIVE AI TASKS TO FUEL MARKET GROWTH
8 AI CHIP MARKET, BY NETWORK
8.1 INTRODUCTION
8.2 NIC/NETWORK ADAPTERS
8.2.1 INFINIBAND
8.2.1.1 Growing utilization of HPC and AI models to minimize latency and maximize throughput to boost segmental growth
8.2.2 ETHERNET
8.2.2.1 Rising demand for scalable and cost-effective networking solutions to propel growth
8.3 INTERCONNECTS
8.3.1 GROWING COMPLEXITY OF AI MODELS REQUIRING HIGH-BANDWIDTH DATA PATHS TO FUEL DEMAND
9 AI CHIP MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.2 GENERATIVE AI
9.2.1 RULE-BASED MODELS
9.2.1.1 Rising need to detect fraud in finance sector to propel market
9.2.2 STATISTICAL MODELS
9.2.2.1 Requirement to make accurate predictions from complex data structures to boost segmental growth
9.2.3 DEEP LEARNING
9.2.3.1 Ability to advance AI technologies to boost demand
9.2.4 GENERATIVE ADVERSARIAL NETWORKS (GAN)
9.2.4.1 Pressing need to handle large-scale data to fuel segmental growth
9.2.5 AUTOENCODERS
9.2.5.1 Ability to compress and restructure data to ensure optimum storage space in data centers to stimulate demand
9.2.6 CONVOLUTIONAL NEURAL NETWORKS (CNNS)
9.2.6.1 Surging demand for realistic and high-quality images and videos to accelerate market growth
9.2.7 TRANSFORMER MODELS
9.2.7.1 Increasing utilization in image synthesis and captioning applications to foster segmental growth
9.3 MACHINE LEARNING
9.3.1 RISING USE IN IMAGE AND SPEECH RECOGNITION AND PREDICTIVE ANALYTICS TO CONTRIBUTE TO MARKET GROWTH
9.4 NATURAL LANGUAGE PROCESSING
9.4.1 INCREASING NEED FOR REAL-TIME APPLICATIONS TO
SUPPORT MARKET GROWTH
9.5 COMPUTER VISION
9.5.1 ESCALATING NEED FOR ADVANCED PROCESSING CAPABILITIES
TO BOOST DEMAND
10 AI CHIP MARKET, BY FUNCTION
10.1 INTRODUCTION
10.2 TRAINING
10.2.1 SURGING NEED TO PROCESS LARGE DATA SETS AND PERFORM
PARALLEL COMPUTATION TO CREATE OPPORTUNITIES
10.3 INFERENCE
10.3.1 SURGING DEPLOYMENT ACROSS VARIOUS INDUSTRIES TO BOOST DEMAND
11 AI CHIP MARKET, BY END USER
11.1 INTRODUCTION
11.2 CONSUMER
11.2.1 GROWING ADOPTION OF AI-ENABLED PERSONAL DEVICES
TO PROPEL MARKET
11.3 DATA CENTERS
11.3.1 CLOUD SERVICE PROVIDERS
11.3.1.1 Surging AI workloads and cloud adoption to stimulate market growth
11.3.2 ENTERPRISES
11.3.2.1 Escalating use of NLP, image recognition, and predictive analytics to create growth opportunities
11.3.2.2 Healthcare
11.3.2.2.1 Integration of AI in computer-aided drug discovery and development to foster market growth
11.3.2.3 BFSI
11.3.2.3.1 Surging need for fraud detection in financial institutions to boost demand
11.3.2.4 Automotive
11.3.2.4.1 Growing focus on safe and enhanced driving experiences to fuel demand
11.3.2.5 Retail & ecommerce
11.3.2.5.1 Increasing use of chatbots and virtual assistants to offer improved customer services to drive market
11.3.2.6 Media & entertainment
11.3.2.6.1 Real-time analysis of viewer preferences, engagement patterns, and demographic information to augment
market growth
11.3.2.7 Others
11.4 GOVERNMENT ORGANIZATIONS
11.4.1 SIGNIFICANT FOCUS ON AUTOMATING ROUTINE TASKS AND EXTRACTING REAL-TIME ACTIONABLE INSIGHTS TO SUPPORT MARKET GROWTH
12 AI CHIP MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Government-led initiatives to boost semiconductor manufacturing to drive market
12.2.3 CANADA
12.2.3.1 Growing emphasis on commercializing AI to spur demand
12.2.4 MEXICO
12.2.4.1 Increasing shift toward digital platforms and cloud-based solutions to accelerate demand
12.3 EUROPE
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
12.3.2 UK
12.3.2.1 Growing investments in data center infrastructure to boost demand
12.3.3 GERMANY
12.3.3.1 Presence of robust industrial base to offer lucrative
growth opportunities
12.3.4 FRANCE
12.3.4.1 Increasing number of AI startups to accelerate demand
12.3.5 ITALY
12.3.5.1 Rising adoption of digitalization in automotive and healthcare sectors to drive market
12.3.6 SPAIN
12.3.6.1 Growing collaborations and partnerships among AI manufacturers to spur demand
12.3.7 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Surge in research funding and implementation of supportive regulatory policy to augment market growth
12.4.3 JAPAN
12.4.3.1 Rising adoption of AI chips to advance robotic systems to offer lucrative growth opportunities
12.4.4 INDIA
12.4.4.1 Government-led initiatives to boost AI infrastructure to
foster market growth
12.4.5 SOUTH KOREA
12.4.5.1 Thriving semiconductor industry to drive market growth
12.4.6 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC OUTLOOK FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Growing emphasis on digital transformation and technological innovation to drive market growth
12.5.2.2 GCC countries
12.5.2.3 Rest of Middle East
12.5.3 AFRICA
12.5.3.1 Rising internet penetration and mobile subscriptions to offer lucrative growth opportunities
12.5.4 SOUTH AMERICA
12.5.4.1 Growing need to store vast volumes of data to boost demand
13 COMPETITIVE LANDSCAPE
13.1 INTRODUCTION
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2019–2024
13.3 REVENUE ANALYSIS, 2021–2023
13.4 MARKET SHARE ANALYSIS, 2023
13.5 COMPANY VALUATION AND FINANCIAL METRICS
13.6 BRAND/PRODUCT COMPARISON
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE PLAYERS
13.7.4 PARTICIPANTS
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
13.7.5.1 Company footprint
13.7.5.2 Compute footprint
13.7.5.3 Memory footprint
13.7.5.4 Network footprint
13.7.5.5 Technology footprint
13.7.5.6 Function footprint
13.7.5.7 End user footprint
13.7.5.8 Region footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
13.8.1 PROGRESSIVE COMPANIES
13.8.2 RESPONSIVE COMPANIES
13.8.3 DYNAMIC COMPANIES
13.8.4 STARTING BLOCKS
13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
13.8.5.1 Detailed list of key startups/SMEs
13.8.5.2 Competitive benchmarking of key startups/SMEs
13.9 COMPETITIVE SCENARIO
13.9.1 PRODUCT LAUNCHES
13.9.2 DEALS
14 COMPANY PROFILES
14.1 KEY PLAYERS
14.1.1 NVIDIA CORPORATION
14.1.1.1 Business overview
14.1.1.2 Products/Solutions/Services offered
14.1.1.3 Recent developments
14.1.1.3.1 Product launches
14.1.1.3.2 Deals
14.1.1.4 MnM view
14.1.1.4.1 Key strengths
14.1.1.4.2 Strategic choices
14.1.1.4.3 Weaknesses and competitive threats
14.1.2 ADVANCED MICRO DEVICES, INC.
14.1.2.1 Business overview
14.1.2.2 Products/Solutions/Services offered
14.1.2.3 Recent developments
14.1.2.3.1 Product launches
14.1.2.3.2 Deals
14.1.2.4 MnM view
14.1.2.4.1 Key strengths
14.1.2.4.2 Strategic choices
14.1.2.4.3 Weaknesses and competitive threats
14.1.3 INTEL CORPORATION
14.1.3.1 Business overview
14.1.3.2 Products/Solutions/Services offered
14.1.3.3 Recent developments
14.1.3.3.1 Product launches
14.1.3.3.2 Deals
14.1.3.3.3 Other developments
14.1.3.4 MnM view
14.1.3.4.1 Key strengths
14.1.3.4.2 Strategic choices
14.1.3.4.3 Weaknesses and competitive threats
14.1.4 SK HYNIX INC.
14.1.4.1 Business overview
14.1.4.2 Products/Solutions/Services offered
14.1.4.3 Recent developments
14.1.4.3.1 Product launches
14.1.4.3.2 Deals
14.1.4.3.3 Other developments
14.1.4.4 MnM view
14.1.4.4.1 Key strengths
14.1.4.4.2 Strategic choices
14.1.4.4.3 Weaknesses and competitive threats
14.1.5 SAMSUNG
14.1.5.1 Business overview
14.1.5.2 Products/Solutions/Services offered
14.1.5.3 Recent developments
14.1.5.3.1 Product launches
14.1.5.3.2 Deals
14.1.5.4 MnM view
14.1.5.4.1 Key strengths
14.1.5.4.2 Strategic choices
14.1.5.4.3 Weaknesses and competitive threats
14.1.6 MICRON TECHNOLOGY, INC.
14.1.6.1 Business overview
14.1.6.2 Products/Solutions/Services offered
14.1.6.3 Recent developments
14.1.6.3.1 Product launches
14.1.6.3.2 Deals
14.1.7 APPLE INC.
14.1.7.1 Business overview
14.1.7.2 Products/Solutions/Services offered
14.1.7.3 Recent developments
14.1.7.3.1 Product launches
14.1.7.3.2 Deals
14.1.8 QUALCOMM TECHNOLOGIES, INC.
14.1.8.1 Business overview
14.1.8.2 Products/Solutions/Services offered
14.1.8.3 Recent developments
14.1.8.3.1 Product launches
14.1.8.3.2 Deals
14.1.9 HUAWEI TECHNOLOGIES CO., LTD.
14.1.9.1 Business overview
14.1.9.2 Products/Solutions/Services offered
14.1.9.3 Recent developments
14.1.9.3.1 Product launches
14.1.9.3.2 Deals
14.1.10 GOOGLE
14.1.10.1 Business overview
14.1.10.2 Products/Solutions/Services offered
14.1.10.3 Recent developments
14.1.10.3.1 Product launches
14.1.10.3.2 Deals
14.1.11 AMAZON WEB SERVICES, INC.
14.1.11.1 Business overview
14.1.11.2 Products/Solutions/Services offered
14.1.11.3 Recent developments
14.1.11.3.1 Product launches
14.1.11.3.2 Deals
14.1.12 TESLA
14.1.12.1 Business overview
14.1.12.2 Products/Solutions/Services offered
14.1.13 MICROSOFT
14.1.13.1 Business overview
14.1.13.2 Products/Solutions/Services offered
14.1.13.3 Recent developments
14.1.13.3.1 Product launches
14.1.13.3.2 Deals
14.1.14 META
14.1.14.1 Business overview
14.1.14.2 Products/Solutions/Services offered
14.1.14.3 Recent developments
14.1.14.3.1 Product launches
14.1.14.3.2 Deals
14.1.15 T-HEAD
14.1.15.1 Business overview
14.1.15.2 Products/Solutions/Services offered
14.1.16 IMAGINATION TECHNOLOGIES
14.1.16.1 Business overview
14.1.16.2 Products/Solutions/Services offered
14.1.16.3 Recent developments
14.1.16.3.1 Product launches
14.1.16.3.2 Deals
14.1.17 GRAPHCORE
14.1.17.1 Business overview
14.1.17.2 Products/Solutions/Services offered
14.1.17.3 Recent developments
14.1.17.3.1 Product launches
14.1.17.3.2 Deals
14.1.18 CEREBRAS
14.1.18.1 Business overview
14.1.18.2 Products/Solutions/Services offered
14.1.18.3 Recent developments
14.1.18.3.1 Product launches
14.1.18.3.2 Deals
14.2 OTHER PLAYERS
14.2.1 MYTHIC
14.2.2 KALRAY
14.2.3 BLAIZE
14.2.4 GROQ, INC.
14.2.5 HAILO TECHNOLOGIES LTD
14.2.6 GREENWAVES TECHNOLOGIES
14.2.7 SIMA TECHNOLOGIES, INC.
14.2.8 KNERON, INC.
14.2.9 RAIN NEUROMORPHICS INC.
14.2.10 TENSTORRENT
14.2.11 SAMBANOVA SYSTEMS, INC.
14.2.12 TAALAS
14.2.13 SAPEON INC.
14.2.14 REBELLIONS INC.
14.2.15 RIVOS INC.
14.2.16 SHANGHAI BIREN TECHNOLOGY CO., LTD.
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
TABLE 1 AI CHIP MARKET: RESEARCH ASSUMPTIONS
TABLE 2 AI CHIP MARKET: RISK ANALYSIS
TABLE 3 BLACKWELL PLATFORM OF NVIDIA TO EXCEED TDP OF 1 KW
TABLE 4 INDICATIVE PRICING TREND OF COMPUTE OFFERED BY KEY PLAYERS, 2023 (USD)
TABLE 5 INDICATIVE PRICING TREND OF COMPUTE, 2020–2023 (USD)
TABLE 6 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2020–2023 (USD)
TABLE 7 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2020–2023 (USD)
TABLE 8 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2020–2023 (USD)
TABLE 9 AI CHIP MARKET: ROLE OF COMPANIES IN ECOSYSTEM
TABLE 10 CPU SERVER BILL OF MATERIAL (BOM), 2023
TABLE 11 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA’S ‘A100’, 2023
TABLE 12 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA’S ‘H100’, 2023
TABLE 13 COMPARISON OF NVIDIA AI GPU SPECIFICATIONS
TABLE 14 COMPARISON OF CPU SPECIFICATIONS
TABLE 15 AI CHIP MARKET: LIST OF MAJOR PATENTS
TABLE 16 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 17 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 18 AI CHIP MARKET: KEY CONFERENCES AND EVENTS
TABLE 19 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 20 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 21 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 22 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 23 AI CHIP MARKET: STANDARDS
TABLE 24 AI CHIP MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR
TOP THREE END USERS (%)
TABLE 26 KEY BUYING CRITERIA FOR TOP THREE END USERS
TABLE 27 AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 28 AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 29 AI CHIP MARKET, BY COMPUTE, 2020–2023 (THOUSAND UNITS)
TABLE 30 AI CHIP MARKET, BY COMPUTE, 2024–2029 (THOUSAND UNITS)
TABLE 31 GPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 32 GPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 CPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 34 CPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 FPGA: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 36 FPGA: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 37 NPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 38 NPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 39 AI CHIP MARKET, BY MEMORY, 2020–2023 (USD MILLION)
TABLE 40 AI CHIP MARKET, BY MEMORY, 2024–2029 (USD MILLION)
TABLE 41 AI CHIP MARKET, BY MEMORY, 2020–2023 (PETABYTE)
TABLE 42 AI CHIP MARKET, BY MEMORY, 2024–2029 (PETABYTE)
TABLE 43 AI CHIP MARKET FOR MEMORY, BY REGION, 2020–2023 (USD MILLION)
TABLE 44 AI CHIP MARKET FOR MEMORY, BY REGION, 2024–2029 (USD MILLION)
TABLE 45 AI CHIP MARKET, BY NETWORK, 2020–2023 (USD MILLION)
TABLE 46 AI CHIP MARKET, BY NETWORK, 2024–2029 (USD MILLION)
TABLE 47 AI CHIP MARKET, BY NETWORK, 2020–2023 (THOUSAND UNITS)
TABLE 48 AI CHIP MARKET, BY NETWORK, 2024–2029 (THOUSAND UNITS)
TABLE 49 AI CHIP MARKET FOR NETWORK, BY REGION, 2020–2023 (USD MILLION)
TABLE 50 AI CHIP MARKET FOR NETWORK, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2020–2023 (USD MILLION)
TABLE 52 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 53 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE,
2020–2023 (THOUSAND UNITS)
TABLE 54 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE,
2024–2029 (THOUSAND UNITS)
TABLE 55 AI CHIP MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
TABLE 56 AI CHIP MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 57 GENERATIVE AI: AI CHIP MARKET, BY TECHNOLOGY TYPE,
2020–2023 (USD MILLION)
TABLE 58 GENERATIVE AI: AI CHIP MARKET, BY TECHNOLOGY TYPE,
2024–2029 (USD MILLION)
TABLE 59 AI CHIP MARKET, BY FUNCTION, 2020–2023 (USD MILLION)
TABLE 60 AI CHIP MARKET, BY FUNCTION, 2024–2029 (USD MILLION)
TABLE 61 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2020–2023 (THOUSAND UNITS)
TABLE 62 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2024–2029 (THOUSAND UNITS)
TABLE 63 AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 64 AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 65 CONSUMER: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 66 CONSUMER: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 DATA CENTERS: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 68 DATA CENTERS: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 69 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 70 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 71 ENTERPRISES: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 72 ENTERPRISES: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 73 HEALTHCARE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 74 HEALTHCARE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 75 BFSI: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 76 BFSI: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 77 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 78 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 79 RETAIL & ECOMMERCE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 80 RETAIL & ECOMMERCE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 81 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 82 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 83 OTHERS: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 84 OTHERS: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 85 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 86 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 87 AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 88 AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 89 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 90 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 91 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 92 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 93 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 94 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 95 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 96 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 97 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 98 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 99 EUROPE: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 100 EUROPE: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 101 EUROPE: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 102 EUROPE: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 103 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 104 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 105 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 106 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 107 EUROPE: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 108 EUROPE: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 109 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 110 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 111 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 112 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 113 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 114 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 115 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 116 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 117 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 118 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 119 ROW: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 120 ROW: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 121 ROW: AI CHIP MARKET, BY END USER, 2020–2023 (USD THOUSAND)
TABLE 122 ROW: AI CHIP MARKET, BY END USER, 2024–2029 (USD THOUSAND)
TABLE 123 ROW: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD THOUSAND)
TABLE 124 ROW: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD THOUSAND)
TABLE 125 ROW: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD THOUSAND)
TABLE 126 ROW: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD THOUSAND)
TABLE 127 ROW: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 128 ROW: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 129 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 130 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 131 AI CHIP MARKET: OVERVIEW OF STRATEGIES ADOPTED
BY KEY PLAYERS, 2019–2024
TABLE 132 COMPUTE MARKET: DEGREE OF COMPETITION
TABLE 133 MEMORY (HBM) MARKET: DEGREE OF COMPETITION
TABLE 134 AI CHIP MARKET: COMPUTE FOOTPRINT
TABLE 135 AI CHIP MARKET: MEMORY FOOTPRINT
TABLE 136 AI CHIP MARKET: NETWORK FOOTPRINT
TABLE 137 AI CHIP MARKET: TECHNOLOGY FOOTPRINT
TABLE 138 AI CHIP MARKET: FUNCTION FOOTPRINT
TABLE 139 AI CHIP MARKET: END USER FOOTPRINT
TABLE 140 AI CHIP MARKET: REGION FOOTPRINT
TABLE 141 AI CHIP MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2023
TABLE 142 AI CHIP MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2023
TABLE 143 AI CHIP MARKET: PRODUCT LAUNCHES, FEBRUARY 2019–JULY 2024
TABLE 144 AI CHIP MARKET: DEALS, FEBRUARY 2019–JULY 2024
TABLE 145 NVIDIA CORPORATION: COMPANY OVERVIEW
TABLE 146 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 147 NVIDIA CORPORATION: PRODUCT LAUNCHES
TABLE 148 NVIDIA CORPORATION: DEALS
TABLE 149 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
TABLE 150 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 151 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
TABLE 152 ADVANCED MICRO DEVICES, INC.: DEALS
TABLE 153 INTEL CORPORATION: COMPANY OVERVIEW
TABLE 154 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 155 INTEL CORPORATION: PRODUCT LAUNCHES
TABLE 156 INTEL CORPORATION: DEALS
TABLE 157 INTEL CORPORATION: OTHER DEVELOPMENTS
TABLE 158 SK HYNIX INC.: COMPANY OVERVIEW
TABLE 159 SK HYNIX INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 160 SK HYNIX INC.: PRODUCT LAUNCHES
TABLE 161 SK HYNIX INC.: DEALS
TABLE 162 SK HYNIX INC.: OTHER DEVELOPMENTS
TABLE 163 SAMSUNG: COMPANY OVERVIEW
TABLE 164 SAMSUNG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 165 SAMSUNG: PRODUCT LAUNCHES
TABLE 166 SAMSUNG: DEALS
TABLE 167 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
TABLE 168 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 169 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
TABLE 170 MICRON TECHNOLOGY, INC.: DEALS
TABLE 171 APPLE INC.: COMPANY OVERVIEW
TABLE 172 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 173 APPLE INC.: PRODUCT LAUNCHES
TABLE 174 APPLE INC.: DEALS
TABLE 175 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
TABLE 176 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 177 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
TABLE 178 QUALCOMM TECHNOLOGIES, INC.: DEALS
TABLE 179 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
TABLE 180 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 181 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
TABLE 182 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
TABLE 183 GOOGLE: COMPANY OVERVIEW
TABLE 184 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 185 GOOGLE: PRODUCT LAUNCHES
TABLE 186 GOOGLE: DEALS
TABLE 187 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
TABLE 188 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 189 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
TABLE 190 AMAZON WEB SERVICES, INC.: DEALS
TABLE 191 TESLA: COMPANY OVERVIEW
TABLE 192 TESLA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 193 MICROSOFT: COMPANY OVERVIEW
TABLE 194 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 195 MICROSOFT: PRODUCT LAUNCHES
TABLE 196 MICROSOFT: DEALS
TABLE 197 META: COMPANY OVERVIEW
TABLE 198 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 199 META: PRODUCT LAUNCHES
TABLE 200 META: DEALS
TABLE 201 T-HEAD: COMPANY OVERVIEW
TABLE 202 T-HEAD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 203 IMAGINATION TECHNOLOGIES: COMPANY OVERVIEW
TABLE 204 IMAGINATION TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 205 IMAGINATION TECHNOLOGIES: PRODUCT LAUNCHES
TABLE 206 IMAGINATION TECHNOLOGIES: DEALS
TABLE 207 GRAPHCORE: COMPANY OVERVIEW
TABLE 208 GRAPHCORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 209 GRAPHCORE: PRODUCT LAUNCHES
TABLE 210 GRAPHCORE: DEALS
TABLE 211 CEREBRAS: COMPANY OVERVIEW
TABLE 212 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 213 CEREBRAS: PRODUCT LAUNCHES
TABLE 214 CEREBRAS: DEALS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNIT CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY AND PRIMARY RESEARCH
2.1.2 SECONDARY DATA
2.1.2.1 List of key secondary sources
2.1.2.2 Key data from secondary sources
2.1.3 PRIMARY DATA
2.1.3.1 List of primary interview participants
2.1.3.2 Breakdown of primaries
2.1.3.3 Key data from primary sources
2.1.3.4 Key industry insights
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ANALYSIS
2.6 RESEARCH LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIP MARKET
4.2 AI CHIP MARKET, BY COMPUTE
4.3 AI CHIP MARKET, BY MEMORY
4.4 AI CHIP MARKET, BY NETWORK
4.5 AI CHIP MARKET, BY TECHNOLOGY AND FUNCTION
4.6 AI CHIP MARKET, BY END USER
4.7 AI CHIP MARKET, BY REGION
4.8 AI CHIP MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Pressing need for large-scale data handling and real-time analytics
5.2.1.2 Rising adoption of autonomous vehicles
5.2.1.3 Surging use of GPUs and ASICs in AI servers
5.2.1.4 Continuous advancements in machine learning and deep
learning technologies
5.2.1.5 Increasing penetration of AI servers
5.2.2 RESTRAINTS
5.2.2.1 Shortage of skilled workforce with technical know-how
5.2.2.2 Computational workloads and power consumption in AI Chip
5.2.2.3 Unreliability of AI algorithms
5.2.3 OPPORTUNITIES
5.2.3.1 Elevating demand for AI-based FPGA chips
5.2.3.2 Government initiatives to deploy AI-enabled defense systems
5.2.3.3 Rising trend of AI-driven diagnostics and treatments
5.2.3.4 Increasing investments in AI-enabled data centers by
cloud service providers
5.2.3.5 Rise in adoption of AI-based ASIC technology
5.2.4 CHALLENGES
5.2.4.1 Data privacy concerns associated with AI platforms
5.2.4.2 Availability of limited structured data to develop efficient AI systems
5.2.4.3 Supply chain disruptions
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 PRICING ANALYSIS
5.4.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY COMPUTE
5.4.2 AVERAGE SELLING PRICE TREND, BY REGION
5.5 VALUE CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS
5.7 INVESTMENT AND FUNDING SCENARIO
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 High-bandwidth Memory (HBM)
5.8.1.2 GenAI workload
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Data center power management and cooling system
5.8.2.2 High-speed interconnects
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 AI development frameworks
5.8.3.2 Quantum AI
5.9 SERVER COST STRUCTURE/BILL OF MATERIAL
5.9.1 CPU SERVER
5.9.2 GPU SERVER
5.10 PENETRATION AND GROWTH OF AI SERVERS
5.11 UPCOMING DEPLOYMENT OF DATA CENTERS BY CLOUD SERVICE PROVIDERS (CSPS)
5.12 CLOUD SERVICE PROVIDERS’ CAPEX
5.13 SERVER PROCUREMENT BY CLOUD SERVICE PROVIDERS, 2020–2029
5.14 PROCESSOR BENCHMARKING
5.14.1 GPU BENCHMARKING
5.14.2 CPU BENCHMARKING
5.15 PATENT ANALYSIS
5.16 TRADE ANALYSIS
5.16.1 IMPORT SCENARIO (HS CODE 854231)
5.16.2 EXPORT SCENARIO (HS CODE 854231)
5.17 KEY CONFERENCES AND EVENTS, 2024–2025
5.18 CASE STUDY ANALYSIS
5.18.1 CDW INTEGRATED AMD EPYC SOLUTIONS TO ENSURE ENERGY EFFICIENCY AND OPTIMUM SPACE UTILIZATION
5.18.2 OVH SAS LEVERAGED AMD EPYC PROCESSOR TO OPTIMIZE PERFORMANCE OF CLOUD SOLUTIONS IN AI WORKLOADS
5.18.3 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD’S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM
5.18.4 AIC HELPS WESTERN DIGITAL TO ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR
5.19 REGULATORY LANDSCAPE
5.19.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
5.19.2 STANDARDS
5.20 PORTER’S FIVE FORCES ANALYSIS
5.20.1 THREAT OF NEW ENTRANTS
5.20.2 THREAT OF SUBSTITUTES
5.20.3 BARGAINING POWER OF SUPPLIERS
5.20.4 BARGAINING POWER OF BUYERS
5.20.5 INTENSITY OF COMPETITION RIVALRY
5.21 KEY STAKEHOLDERS AND BUYING CRITERIA
5.21.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.21.2 BUYING CRITERIA
6 AI CHIP MARKET, BY COMPUTE
6.1 INTRODUCTION
6.2 GPU
6.2.1 ABILITY TO HANDLE AI WORKLOADS AND PROCESS VAST DATA VOLUMES
TO BOOST ADOPTION
6.3 CPU
6.3.1 RISING DEMAND FOR VERSATILE AND GENERAL-PURPOSE
AI PROCESSING TO AUGMENT MARKET GROWTH
6.4 FPGA
6.4.1 GROWING NEED FOR FLEXIBILITY AND CUSTOMIZATION FOR
AI WORKLOADS TO SPUR DEMAND
6.5 NPU
6.5.1 RISING DEMAND FOR HIGH-END SMARTPHONES TO
DRIVE SEGMENTAL GROWTH
6.6 TPU
6.6.1 PRESSING NEED FOR FASTER PROCESSING IN AI RESEARCH AND APPLICATION DEVELOPMENT TO BOOST DEMAND
6.7 DOJO & FSD
6.7.1 ACCELERATING DEMAND FOR HIGH-PERFORMANCE, ENERGY-EFFICIENT AI PROCESSING IN AUTONOMOUS VEHICLES TO FUEL ADOPTION
6.8 TRAINIUM & INFERENTIA
6.8.1 ABILITY TO TRAIN COMPLEX AI AND DEEP LEARNING MODELS
TO DRIVE ADOPTION
6.9 ATHENA ASIC
6.9.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED AI TASKS TO ACCELERATE MARKET GROWTH
6.10 T-HEAD
6.10.1 RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI CHIPS ACROSS CHINESE DATA CENTERS TO STIMULATE MARKET GROWTH
6.11 MTIA
6.11.1 META'S EXPANSION INTO AR, VR, AND METAVERSE TO
FUEL MARKET GROWTH
6.12 LPU
6.12.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE-BASED
AI TASKS TO ACCELERATE MARKET GROWTH
6.13 OTHER ASIC
7 AI CHIP MARKET, BY MEMORY
7.1 INTRODUCTION
7.2 DDR
7.2.1 RISING ADOPTION OF AI-ENABLED CPUS IN DATA CENTERS TO
SUPPORT MARKET GROWTH
7.3 HBM
7.3.1 ELEVATING NEED FOR HIGH THROUGHPUT IN DATA-INTENSIVE AI TASKS TO FUEL MARKET GROWTH
8 AI CHIP MARKET, BY NETWORK
8.1 INTRODUCTION
8.2 NIC/NETWORK ADAPTERS
8.2.1 INFINIBAND
8.2.1.1 Growing utilization of HPC and AI models to minimize latency and maximize throughput to boost segmental growth
8.2.2 ETHERNET
8.2.2.1 Rising demand for scalable and cost-effective networking solutions to propel growth
8.3 INTERCONNECTS
8.3.1 GROWING COMPLEXITY OF AI MODELS REQUIRING HIGH-BANDWIDTH DATA PATHS TO FUEL DEMAND
9 AI CHIP MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.2 GENERATIVE AI
9.2.1 RULE-BASED MODELS
9.2.1.1 Rising need to detect fraud in finance sector to propel market
9.2.2 STATISTICAL MODELS
9.2.2.1 Requirement to make accurate predictions from complex data structures to boost segmental growth
9.2.3 DEEP LEARNING
9.2.3.1 Ability to advance AI technologies to boost demand
9.2.4 GENERATIVE ADVERSARIAL NETWORKS (GAN)
9.2.4.1 Pressing need to handle large-scale data to fuel segmental growth
9.2.5 AUTOENCODERS
9.2.5.1 Ability to compress and restructure data to ensure optimum storage space in data centers to stimulate demand
9.2.6 CONVOLUTIONAL NEURAL NETWORKS (CNNS)
9.2.6.1 Surging demand for realistic and high-quality images and videos to accelerate market growth
9.2.7 TRANSFORMER MODELS
9.2.7.1 Increasing utilization in image synthesis and captioning applications to foster segmental growth
9.3 MACHINE LEARNING
9.3.1 RISING USE IN IMAGE AND SPEECH RECOGNITION AND PREDICTIVE ANALYTICS TO CONTRIBUTE TO MARKET GROWTH
9.4 NATURAL LANGUAGE PROCESSING
9.4.1 INCREASING NEED FOR REAL-TIME APPLICATIONS TO
SUPPORT MARKET GROWTH
9.5 COMPUTER VISION
9.5.1 ESCALATING NEED FOR ADVANCED PROCESSING CAPABILITIES
TO BOOST DEMAND
10 AI CHIP MARKET, BY FUNCTION
10.1 INTRODUCTION
10.2 TRAINING
10.2.1 SURGING NEED TO PROCESS LARGE DATA SETS AND PERFORM
PARALLEL COMPUTATION TO CREATE OPPORTUNITIES
10.3 INFERENCE
10.3.1 SURGING DEPLOYMENT ACROSS VARIOUS INDUSTRIES TO BOOST DEMAND
11 AI CHIP MARKET, BY END USER
11.1 INTRODUCTION
11.2 CONSUMER
11.2.1 GROWING ADOPTION OF AI-ENABLED PERSONAL DEVICES
TO PROPEL MARKET
11.3 DATA CENTERS
11.3.1 CLOUD SERVICE PROVIDERS
11.3.1.1 Surging AI workloads and cloud adoption to stimulate market growth
11.3.2 ENTERPRISES
11.3.2.1 Escalating use of NLP, image recognition, and predictive analytics to create growth opportunities
11.3.2.2 Healthcare
11.3.2.2.1 Integration of AI in computer-aided drug discovery and development to foster market growth
11.3.2.3 BFSI
11.3.2.3.1 Surging need for fraud detection in financial institutions to boost demand
11.3.2.4 Automotive
11.3.2.4.1 Growing focus on safe and enhanced driving experiences to fuel demand
11.3.2.5 Retail & ecommerce
11.3.2.5.1 Increasing use of chatbots and virtual assistants to offer improved customer services to drive market
11.3.2.6 Media & entertainment
11.3.2.6.1 Real-time analysis of viewer preferences, engagement patterns, and demographic information to augment
market growth
11.3.2.7 Others
11.4 GOVERNMENT ORGANIZATIONS
11.4.1 SIGNIFICANT FOCUS ON AUTOMATING ROUTINE TASKS AND EXTRACTING REAL-TIME ACTIONABLE INSIGHTS TO SUPPORT MARKET GROWTH
12 AI CHIP MARKET, BY REGION
12.1 INTRODUCTION
12.2 NORTH AMERICA
12.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
12.2.2 US
12.2.2.1 Government-led initiatives to boost semiconductor manufacturing to drive market
12.2.3 CANADA
12.2.3.1 Growing emphasis on commercializing AI to spur demand
12.2.4 MEXICO
12.2.4.1 Increasing shift toward digital platforms and cloud-based solutions to accelerate demand
12.3 EUROPE
12.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
12.3.2 UK
12.3.2.1 Growing investments in data center infrastructure to boost demand
12.3.3 GERMANY
12.3.3.1 Presence of robust industrial base to offer lucrative
growth opportunities
12.3.4 FRANCE
12.3.4.1 Increasing number of AI startups to accelerate demand
12.3.5 ITALY
12.3.5.1 Rising adoption of digitalization in automotive and healthcare sectors to drive market
12.3.6 SPAIN
12.3.6.1 Growing collaborations and partnerships among AI manufacturers to spur demand
12.3.7 REST OF EUROPE
12.4 ASIA PACIFIC
12.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
12.4.2 CHINA
12.4.2.1 Surge in research funding and implementation of supportive regulatory policy to augment market growth
12.4.3 JAPAN
12.4.3.1 Rising adoption of AI chips to advance robotic systems to offer lucrative growth opportunities
12.4.4 INDIA
12.4.4.1 Government-led initiatives to boost AI infrastructure to
foster market growth
12.4.5 SOUTH KOREA
12.4.5.1 Thriving semiconductor industry to drive market growth
12.4.6 REST OF ASIA PACIFIC
12.5 ROW
12.5.1 MACROECONOMIC OUTLOOK FOR ROW
12.5.2 MIDDLE EAST
12.5.2.1 Growing emphasis on digital transformation and technological innovation to drive market growth
12.5.2.2 GCC countries
12.5.2.3 Rest of Middle East
12.5.3 AFRICA
12.5.3.1 Rising internet penetration and mobile subscriptions to offer lucrative growth opportunities
12.5.4 SOUTH AMERICA
12.5.4.1 Growing need to store vast volumes of data to boost demand
13 COMPETITIVE LANDSCAPE
13.1 INTRODUCTION
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2019–2024
13.3 REVENUE ANALYSIS, 2021–2023
13.4 MARKET SHARE ANALYSIS, 2023
13.5 COMPANY VALUATION AND FINANCIAL METRICS
13.6 BRAND/PRODUCT COMPARISON
13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
13.7.1 STARS
13.7.2 EMERGING LEADERS
13.7.3 PERVASIVE PLAYERS
13.7.4 PARTICIPANTS
13.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
13.7.5.1 Company footprint
13.7.5.2 Compute footprint
13.7.5.3 Memory footprint
13.7.5.4 Network footprint
13.7.5.5 Technology footprint
13.7.5.6 Function footprint
13.7.5.7 End user footprint
13.7.5.8 Region footprint
13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
13.8.1 PROGRESSIVE COMPANIES
13.8.2 RESPONSIVE COMPANIES
13.8.3 DYNAMIC COMPANIES
13.8.4 STARTING BLOCKS
13.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
13.8.5.1 Detailed list of key startups/SMEs
13.8.5.2 Competitive benchmarking of key startups/SMEs
13.9 COMPETITIVE SCENARIO
13.9.1 PRODUCT LAUNCHES
13.9.2 DEALS
14 COMPANY PROFILES
14.1 KEY PLAYERS
14.1.1 NVIDIA CORPORATION
14.1.1.1 Business overview
14.1.1.2 Products/Solutions/Services offered
14.1.1.3 Recent developments
14.1.1.3.1 Product launches
14.1.1.3.2 Deals
14.1.1.4 MnM view
14.1.1.4.1 Key strengths
14.1.1.4.2 Strategic choices
14.1.1.4.3 Weaknesses and competitive threats
14.1.2 ADVANCED MICRO DEVICES, INC.
14.1.2.1 Business overview
14.1.2.2 Products/Solutions/Services offered
14.1.2.3 Recent developments
14.1.2.3.1 Product launches
14.1.2.3.2 Deals
14.1.2.4 MnM view
14.1.2.4.1 Key strengths
14.1.2.4.2 Strategic choices
14.1.2.4.3 Weaknesses and competitive threats
14.1.3 INTEL CORPORATION
14.1.3.1 Business overview
14.1.3.2 Products/Solutions/Services offered
14.1.3.3 Recent developments
14.1.3.3.1 Product launches
14.1.3.3.2 Deals
14.1.3.3.3 Other developments
14.1.3.4 MnM view
14.1.3.4.1 Key strengths
14.1.3.4.2 Strategic choices
14.1.3.4.3 Weaknesses and competitive threats
14.1.4 SK HYNIX INC.
14.1.4.1 Business overview
14.1.4.2 Products/Solutions/Services offered
14.1.4.3 Recent developments
14.1.4.3.1 Product launches
14.1.4.3.2 Deals
14.1.4.3.3 Other developments
14.1.4.4 MnM view
14.1.4.4.1 Key strengths
14.1.4.4.2 Strategic choices
14.1.4.4.3 Weaknesses and competitive threats
14.1.5 SAMSUNG
14.1.5.1 Business overview
14.1.5.2 Products/Solutions/Services offered
14.1.5.3 Recent developments
14.1.5.3.1 Product launches
14.1.5.3.2 Deals
14.1.5.4 MnM view
14.1.5.4.1 Key strengths
14.1.5.4.2 Strategic choices
14.1.5.4.3 Weaknesses and competitive threats
14.1.6 MICRON TECHNOLOGY, INC.
14.1.6.1 Business overview
14.1.6.2 Products/Solutions/Services offered
14.1.6.3 Recent developments
14.1.6.3.1 Product launches
14.1.6.3.2 Deals
14.1.7 APPLE INC.
14.1.7.1 Business overview
14.1.7.2 Products/Solutions/Services offered
14.1.7.3 Recent developments
14.1.7.3.1 Product launches
14.1.7.3.2 Deals
14.1.8 QUALCOMM TECHNOLOGIES, INC.
14.1.8.1 Business overview
14.1.8.2 Products/Solutions/Services offered
14.1.8.3 Recent developments
14.1.8.3.1 Product launches
14.1.8.3.2 Deals
14.1.9 HUAWEI TECHNOLOGIES CO., LTD.
14.1.9.1 Business overview
14.1.9.2 Products/Solutions/Services offered
14.1.9.3 Recent developments
14.1.9.3.1 Product launches
14.1.9.3.2 Deals
14.1.10 GOOGLE
14.1.10.1 Business overview
14.1.10.2 Products/Solutions/Services offered
14.1.10.3 Recent developments
14.1.10.3.1 Product launches
14.1.10.3.2 Deals
14.1.11 AMAZON WEB SERVICES, INC.
14.1.11.1 Business overview
14.1.11.2 Products/Solutions/Services offered
14.1.11.3 Recent developments
14.1.11.3.1 Product launches
14.1.11.3.2 Deals
14.1.12 TESLA
14.1.12.1 Business overview
14.1.12.2 Products/Solutions/Services offered
14.1.13 MICROSOFT
14.1.13.1 Business overview
14.1.13.2 Products/Solutions/Services offered
14.1.13.3 Recent developments
14.1.13.3.1 Product launches
14.1.13.3.2 Deals
14.1.14 META
14.1.14.1 Business overview
14.1.14.2 Products/Solutions/Services offered
14.1.14.3 Recent developments
14.1.14.3.1 Product launches
14.1.14.3.2 Deals
14.1.15 T-HEAD
14.1.15.1 Business overview
14.1.15.2 Products/Solutions/Services offered
14.1.16 IMAGINATION TECHNOLOGIES
14.1.16.1 Business overview
14.1.16.2 Products/Solutions/Services offered
14.1.16.3 Recent developments
14.1.16.3.1 Product launches
14.1.16.3.2 Deals
14.1.17 GRAPHCORE
14.1.17.1 Business overview
14.1.17.2 Products/Solutions/Services offered
14.1.17.3 Recent developments
14.1.17.3.1 Product launches
14.1.17.3.2 Deals
14.1.18 CEREBRAS
14.1.18.1 Business overview
14.1.18.2 Products/Solutions/Services offered
14.1.18.3 Recent developments
14.1.18.3.1 Product launches
14.1.18.3.2 Deals
14.2 OTHER PLAYERS
14.2.1 MYTHIC
14.2.2 KALRAY
14.2.3 BLAIZE
14.2.4 GROQ, INC.
14.2.5 HAILO TECHNOLOGIES LTD
14.2.6 GREENWAVES TECHNOLOGIES
14.2.7 SIMA TECHNOLOGIES, INC.
14.2.8 KNERON, INC.
14.2.9 RAIN NEUROMORPHICS INC.
14.2.10 TENSTORRENT
14.2.11 SAMBANOVA SYSTEMS, INC.
14.2.12 TAALAS
14.2.13 SAPEON INC.
14.2.14 REBELLIONS INC.
14.2.15 RIVOS INC.
14.2.16 SHANGHAI BIREN TECHNOLOGY CO., LTD.
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
TABLE 1 AI CHIP MARKET: RESEARCH ASSUMPTIONS
TABLE 2 AI CHIP MARKET: RISK ANALYSIS
TABLE 3 BLACKWELL PLATFORM OF NVIDIA TO EXCEED TDP OF 1 KW
TABLE 4 INDICATIVE PRICING TREND OF COMPUTE OFFERED BY KEY PLAYERS, 2023 (USD)
TABLE 5 INDICATIVE PRICING TREND OF COMPUTE, 2020–2023 (USD)
TABLE 6 AVERAGE SELLING PRICE TREND OF GPU, BY REGION, 2020–2023 (USD)
TABLE 7 AVERAGE SELLING PRICE TREND OF CPU, BY REGION, 2020–2023 (USD)
TABLE 8 AVERAGE SELLING PRICE TREND OF FPGA, BY REGION, 2020–2023 (USD)
TABLE 9 AI CHIP MARKET: ROLE OF COMPANIES IN ECOSYSTEM
TABLE 10 CPU SERVER BILL OF MATERIAL (BOM), 2023
TABLE 11 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA’S ‘A100’, 2023
TABLE 12 GPU/AI SERVERS COST STRUCTURE FOR NVIDIA’S ‘H100’, 2023
TABLE 13 COMPARISON OF NVIDIA AI GPU SPECIFICATIONS
TABLE 14 COMPARISON OF CPU SPECIFICATIONS
TABLE 15 AI CHIP MARKET: LIST OF MAJOR PATENTS
TABLE 16 IMPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 17 EXPORT DATA FOR HS CODE 854231-COMPLIANT PRODUCTS, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 18 AI CHIP MARKET: KEY CONFERENCES AND EVENTS
TABLE 19 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 20 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 21 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 22 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
TABLE 23 AI CHIP MARKET: STANDARDS
TABLE 24 AI CHIP MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR
TOP THREE END USERS (%)
TABLE 26 KEY BUYING CRITERIA FOR TOP THREE END USERS
TABLE 27 AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 28 AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 29 AI CHIP MARKET, BY COMPUTE, 2020–2023 (THOUSAND UNITS)
TABLE 30 AI CHIP MARKET, BY COMPUTE, 2024–2029 (THOUSAND UNITS)
TABLE 31 GPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 32 GPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 CPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 34 CPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 FPGA: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 36 FPGA: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 37 NPU: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 38 NPU: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 39 AI CHIP MARKET, BY MEMORY, 2020–2023 (USD MILLION)
TABLE 40 AI CHIP MARKET, BY MEMORY, 2024–2029 (USD MILLION)
TABLE 41 AI CHIP MARKET, BY MEMORY, 2020–2023 (PETABYTE)
TABLE 42 AI CHIP MARKET, BY MEMORY, 2024–2029 (PETABYTE)
TABLE 43 AI CHIP MARKET FOR MEMORY, BY REGION, 2020–2023 (USD MILLION)
TABLE 44 AI CHIP MARKET FOR MEMORY, BY REGION, 2024–2029 (USD MILLION)
TABLE 45 AI CHIP MARKET, BY NETWORK, 2020–2023 (USD MILLION)
TABLE 46 AI CHIP MARKET, BY NETWORK, 2024–2029 (USD MILLION)
TABLE 47 AI CHIP MARKET, BY NETWORK, 2020–2023 (THOUSAND UNITS)
TABLE 48 AI CHIP MARKET, BY NETWORK, 2024–2029 (THOUSAND UNITS)
TABLE 49 AI CHIP MARKET FOR NETWORK, BY REGION, 2020–2023 (USD MILLION)
TABLE 50 AI CHIP MARKET FOR NETWORK, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2020–2023 (USD MILLION)
TABLE 52 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 53 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE,
2020–2023 (THOUSAND UNITS)
TABLE 54 NIC/NETWORK ADAPTERS: AI CHIP MARKET, BY TYPE,
2024–2029 (THOUSAND UNITS)
TABLE 55 AI CHIP MARKET, BY TECHNOLOGY, 2020–2023 (USD MILLION)
TABLE 56 AI CHIP MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 57 GENERATIVE AI: AI CHIP MARKET, BY TECHNOLOGY TYPE,
2020–2023 (USD MILLION)
TABLE 58 GENERATIVE AI: AI CHIP MARKET, BY TECHNOLOGY TYPE,
2024–2029 (USD MILLION)
TABLE 59 AI CHIP MARKET, BY FUNCTION, 2020–2023 (USD MILLION)
TABLE 60 AI CHIP MARKET, BY FUNCTION, 2024–2029 (USD MILLION)
TABLE 61 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2020–2023 (THOUSAND UNITS)
TABLE 62 AI CHIP MARKET FOR COMPUTE, BY FUNCTION, 2024–2029 (THOUSAND UNITS)
TABLE 63 AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 64 AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 65 CONSUMER: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 66 CONSUMER: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 DATA CENTERS: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 68 DATA CENTERS: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 69 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 70 CLOUD SERVICE PROVIDERS: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 71 ENTERPRISES: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 72 ENTERPRISES: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 73 HEALTHCARE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 74 HEALTHCARE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 75 BFSI: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 76 BFSI: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 77 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 78 AUTOMOTIVE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 79 RETAIL & ECOMMERCE: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 80 RETAIL & ECOMMERCE: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 81 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 82 MEDIA & ENTERTAINMENT: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 83 OTHERS: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 84 OTHERS: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 85 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION,
2020–2023 (USD MILLION)
TABLE 86 GOVERNMENT ORGANIZATIONS: AI CHIP MARKET, BY REGION,
2024–2029 (USD MILLION)
TABLE 87 AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 88 AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 89 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 90 NORTH AMERICA: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 91 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 92 NORTH AMERICA: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 93 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 94 NORTH AMERICA: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 95 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 96 NORTH AMERICA: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 97 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 98 NORTH AMERICA: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 99 EUROPE: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 100 EUROPE: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 101 EUROPE: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 102 EUROPE: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 103 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 104 EUROPE: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 105 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 106 EUROPE: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 107 EUROPE: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 108 EUROPE: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 109 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 110 ASIA PACIFIC: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 111 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2020–2023 (USD MILLION)
TABLE 112 ASIA PACIFIC: AI CHIP MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 113 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD MILLION)
TABLE 114 ASIA PACIFIC: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD MILLION)
TABLE 115 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD MILLION)
TABLE 116 ASIA PACIFIC: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD MILLION)
TABLE 117 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 118 ASIA PACIFIC: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 119 ROW: AI CHIP MARKET, BY REGION, 2020–2023 (USD MILLION)
TABLE 120 ROW: AI CHIP MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 121 ROW: AI CHIP MARKET, BY END USER, 2020–2023 (USD THOUSAND)
TABLE 122 ROW: AI CHIP MARKET, BY END USER, 2024–2029 (USD THOUSAND)
TABLE 123 ROW: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2020–2023 (USD THOUSAND)
TABLE 124 ROW: AI CHIP MARKET FOR DATA CENTERS, BY END USER,
2024–2029 (USD THOUSAND)
TABLE 125 ROW: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2020–2023 (USD THOUSAND)
TABLE 126 ROW: AI CHIP MARKET FOR ENTERPRISES, BY END USER,
2024–2029 (USD THOUSAND)
TABLE 127 ROW: AI CHIP MARKET, BY COMPUTE, 2020–2023 (USD MILLION)
TABLE 128 ROW: AI CHIP MARKET, BY COMPUTE, 2024–2029 (USD MILLION)
TABLE 129 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2020–2023 (USD MILLION)
TABLE 130 MIDDLE EAST: AI CHIP MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 131 AI CHIP MARKET: OVERVIEW OF STRATEGIES ADOPTED
BY KEY PLAYERS, 2019–2024
TABLE 132 COMPUTE MARKET: DEGREE OF COMPETITION
TABLE 133 MEMORY (HBM) MARKET: DEGREE OF COMPETITION
TABLE 134 AI CHIP MARKET: COMPUTE FOOTPRINT
TABLE 135 AI CHIP MARKET: MEMORY FOOTPRINT
TABLE 136 AI CHIP MARKET: NETWORK FOOTPRINT
TABLE 137 AI CHIP MARKET: TECHNOLOGY FOOTPRINT
TABLE 138 AI CHIP MARKET: FUNCTION FOOTPRINT
TABLE 139 AI CHIP MARKET: END USER FOOTPRINT
TABLE 140 AI CHIP MARKET: REGION FOOTPRINT
TABLE 141 AI CHIP MARKET: DETAILED LIST OF KEY STARTUPS/SMES, 2023
TABLE 142 AI CHIP MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES, 2023
TABLE 143 AI CHIP MARKET: PRODUCT LAUNCHES, FEBRUARY 2019–JULY 2024
TABLE 144 AI CHIP MARKET: DEALS, FEBRUARY 2019–JULY 2024
TABLE 145 NVIDIA CORPORATION: COMPANY OVERVIEW
TABLE 146 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 147 NVIDIA CORPORATION: PRODUCT LAUNCHES
TABLE 148 NVIDIA CORPORATION: DEALS
TABLE 149 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
TABLE 150 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 151 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
TABLE 152 ADVANCED MICRO DEVICES, INC.: DEALS
TABLE 153 INTEL CORPORATION: COMPANY OVERVIEW
TABLE 154 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 155 INTEL CORPORATION: PRODUCT LAUNCHES
TABLE 156 INTEL CORPORATION: DEALS
TABLE 157 INTEL CORPORATION: OTHER DEVELOPMENTS
TABLE 158 SK HYNIX INC.: COMPANY OVERVIEW
TABLE 159 SK HYNIX INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 160 SK HYNIX INC.: PRODUCT LAUNCHES
TABLE 161 SK HYNIX INC.: DEALS
TABLE 162 SK HYNIX INC.: OTHER DEVELOPMENTS
TABLE 163 SAMSUNG: COMPANY OVERVIEW
TABLE 164 SAMSUNG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 165 SAMSUNG: PRODUCT LAUNCHES
TABLE 166 SAMSUNG: DEALS
TABLE 167 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
TABLE 168 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 169 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
TABLE 170 MICRON TECHNOLOGY, INC.: DEALS
TABLE 171 APPLE INC.: COMPANY OVERVIEW
TABLE 172 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 173 APPLE INC.: PRODUCT LAUNCHES
TABLE 174 APPLE INC.: DEALS
TABLE 175 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
TABLE 176 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 177 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
TABLE 178 QUALCOMM TECHNOLOGIES, INC.: DEALS
TABLE 179 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
TABLE 180 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 181 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
TABLE 182 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
TABLE 183 GOOGLE: COMPANY OVERVIEW
TABLE 184 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 185 GOOGLE: PRODUCT LAUNCHES
TABLE 186 GOOGLE: DEALS
TABLE 187 AMAZON WEB SERVICES, INC.: COMPANY OVERVIEW
TABLE 188 AMAZON WEB SERVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 189 AMAZON WEB SERVICES, INC.: PRODUCT LAUNCHES
TABLE 190 AMAZON WEB SERVICES, INC.: DEALS
TABLE 191 TESLA: COMPANY OVERVIEW
TABLE 192 TESLA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 193 MICROSOFT: COMPANY OVERVIEW
TABLE 194 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 195 MICROSOFT: PRODUCT LAUNCHES
TABLE 196 MICROSOFT: DEALS
TABLE 197 META: COMPANY OVERVIEW
TABLE 198 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 199 META: PRODUCT LAUNCHES
TABLE 200 META: DEALS
TABLE 201 T-HEAD: COMPANY OVERVIEW
TABLE 202 T-HEAD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 203 IMAGINATION TECHNOLOGIES: COMPANY OVERVIEW
TABLE 204 IMAGINATION TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 205 IMAGINATION TECHNOLOGIES: PRODUCT LAUNCHES
TABLE 206 IMAGINATION TECHNOLOGIES: DEALS
TABLE 207 GRAPHCORE: COMPANY OVERVIEW
TABLE 208 GRAPHCORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 209 GRAPHCORE: PRODUCT LAUNCHES
TABLE 210 GRAPHCORE: DEALS
TABLE 211 CEREBRAS: COMPANY OVERVIEW
TABLE 212 CEREBRAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 213 CEREBRAS: PRODUCT LAUNCHES
TABLE 214 CEREBRAS: DEALS
