AI Inference Market by Compute (GPU, CPU, FPGA), Memory (DDR, HBM), Network (NIC/Network Adapters, Interconnect), Deployment (On-premises, Cloud, Edge), Application (Generative AI, Machine Learning, NLP, Computer Vision) - Global Forecast to 2030
AI 추론 시장 규모는 2025년에 1,061억 5,000만 달러 규모가 될 것으로 예상되며, 2025-2030년에 19.2%의 CAGR로 성장하며, 2030년에는 2,549억 8,000만 달러에 달할 것으로 예측됩니다.
AI 추론 시장은 커넥티드 디바이스, 소셜미디어 플랫폼, 디지털 전환 구상의 확산으로 인한 데이터 생성의 급격한 증가에 힘입어 성장하고 있습니다. 이러한 데이터 폭증은 기업이 경쟁력을 유지하고 신속하게 대응할 수 있도록 실시간으로 의미 있는 인사이트을 추출하는 효율적인 추론 시스템을 필요로 하고 있습니다. 또한 E-Commerce 및 컨텐츠 플랫폼의 추천 시스템 등 개인화된 사용자 경험에 대한 중요성이 커지면서 맞춤형 결과를 빠르고 정확하게 제공하는 AI 추론에 대한 수요가 증가하고 있습니다. 또한 헬스케어, 금융 등의 분야에서 규제 및 컴플라이언스 요구사항은 부정행위 감지, 위험 평가, 진단 등의 업무에 AI 추론을 도입하여 정확성과 확장성을 모두 확보하도록 조직을 독려하고 있습니다.
| 조사 범위 |
| 조사 대상연도 |
2020-2030년 |
| 기준연도 |
2024년 |
| 예측 기간 |
2025-2030년 |
| 검토 단위 |
금액(10억 달러) |
| 부문별 |
컴퓨트별, 메모리별, 네트워크별, 배포별, 용도별, 최종사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 기타 지역 |
AI 추론 시장에서는 머신러닝이 높은 시장 점유율을 차지하고 있으며, 이는 다양한 산업에서 ML 용도의 활용이 확대되고 있는 것이 그 배경입니다. 머신러닝 모델, 특히 딥러닝과 강화학습 알고리즘은 효과적인 학습과 도입을 위해 방대한 컴퓨팅 리소스를 필요로 합니다. 조직이 예측 분석, 추천 엔진, 자율 시스템 등을 위해 머신러닝을 계속 도입함에 따라 고성능 GPU, TPU, 전용 AI 가속기 등 강력한 인프라에 대한 요구사항이 필수적으로 요구됩니다.), Microsoft Azure(미국) 등의 기술 기업은 보다 복잡한 ML 모델에 대응하기 위해 AI 제품을 강화하고 TPU V4 및 NVIDIA A100 GPU와 같은 솔루션을 제공합니다.
AI 추론 시장에서는 기업 분야가 가장 높은 성장률을 보일 것으로 예상됩니다. 기업은 업무 효율성 향상, 개인화된 고객 경험 제공, 혁신 추진을 위해 AI 솔루션을 광범위하게 도입하고 있습니다. 기업은 고객 서비스, 공급망 최적화, 예측 분석 등의 영역에서 대규모 AI 모델을 구축할 수 있는 리소스와 인프라를 갖추고 있습니다. 헬스케어 기업은 의료 영상 및 진단에, 금융 기관은 사기 및 위험 감지에, 소매 업체는 AI 기반 추천 시스템 및 재고 관리에 AI를 활용하고 있습니다. 이러한 성장은 AI 용도의 배포와 확장을 간소화하는 기업용 AI 플랫폼의 발전으로 더욱 가속화될 것입니다. 예를 들어 2024년 5월 Nutanix(미국)는 NVIDIA Corporation(미국)과 협력해 생성형 AI 도입을 촉진하기 위해 Nutanix의 GPT-in-a-Box 2.0과 NVIDIA의 NIM 추론 마이크로서비스(NIM Inference Microservices)를 통합함으로써 기업은 Nutanix의 플랫폼은 AI 모델 배포를 간소화하고, AI 전문 지식의 필요성을 줄여 기업이 AI 전략을 실행할 수 있도록 지원하며, 중앙과 엣지 모두에 확장 가능하고 안전하며 고성능의 GenAI 용도를 배포할 수 있도록 돕습니다. 이러한 혁신은 기업이 경쟁 우위와 업무 개선을 위해 AI 추론에 투자하는 비율이 증가하고 있음을 보여줍니다.
세계의 AI 추론 시장에 대해 조사했으며, 컴퓨트별, 메모리별, 네트워크별, 배포별, 용도별, 최종사용자별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요
- 서론
- 시장 역학
- 고객 비즈니스에 영향을 미치는 동향/혼란
- 가격 분석
- 밸류체인 분석
- 에코시스템 분석
- 투자와 자금조달 시나리오
- 기술 분석
- 특허 분석
- 무역 분석
- 2025-2026년의 주요 컨퍼런스와 이벤트
- 사례 연구 분석
- 규제 상황
- Porter's Five Forces 분석
- 주요 이해관계자와 구입 기준
제6장 AI 추론 시장, 컴퓨트별
- 서론
- GPU
- CPU
- FPGA
- NPU
- TPU
- FSD
- INFERENTIA
- T-HEAD
- MTIA
- LPU
- 기타
제7장 AI 추론 시장, 메모리별
제8장 AI 추론 시장, 네트워크별
제9장 AI 추론 시장, 배포별
제10장 AI 추론 시장, 용도별
- 서론
- 생성형 AI
- 기계학습
- 자연언어처리
- 컴퓨터 비전
제11장 AI 추론 시장, 최종사용자별
- 서론
- 소비자
- 클라우드 서비스 프로바이더
- 기업
- 정부기관
제12장 AI 추론 시장, 지역별
- 서론
- 북미
- 유럽
- 유럽의 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 기타
- 아시아태평양
- 아시아태평양의 거시경제 전망
- 중국
- 일본
- 인도
- 한국
- 기타
- 기타 지역
- 기타 지역의 거시경제 전망
- 중동
- 아프리카
- 남미
제13장 경쟁 구도
- 서론
- 주요 참여 기업의 전략/강점, 2020-2024년
- 매출 분석, 2022-2024년
- 시장 점유율 분석, 2024년
- 기업 가치 평가와 재무 지표
- 브랜드/제품 비교
- 기업 평가 매트릭스 : 주요 참여 기업, 2024년
- 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
- 경쟁 시나리오
제14장 기업 개요
- 주요 참여 기업
- NVIDIA CORPORATION
- ADVANCED MICRO DEVICES, INC.
- INTEL CORPORATION
- SK HYNIX INC.
- SAMSUNG
- MICRON TECHNOLOGY, INC.
- APPLE INC.
- QUALCOMM TECHNOLOGIES, INC.
- HUAWEI TECHNOLOGIES CO., LTD.
- GOOGLE
- AMAZON WEB SERVICES, INC.
- TESLA
- MICROSOFT
- META
- T-HEAD
- GRAPHCORE
- CEREBRAS
- 기타 기업
- MYTHIC
- BLAIZE
- GROQ, INC.
- HAILO TECHNOLOGIES LTD.
- SIMA TECHNOLOGIES, INC.
- KNERON, INC.
- TENSTORRENT
- SAMBANOVA SYSTEMS, INC.
- SAPEON INC.
- REBELLIONS INC.
- SHANGHAI BIREN TECHNOLOGY CO., LTD.
제15장 부록
KSA
The AI Inference market is expected to be worth USD 106.15 billion in 2025 and is estimated to reach USD 254.98 billion by 2030, growing at a CAGR of 19.2% between 2025 and 2030. The AI inference market is being driven by the exponential increase in data generation, fueled by the widespread use of connected devices, social media platforms, and digital transformation initiatives. This massive influx of data necessitates efficient inference systems to extract meaningful insights in real time, enabling businesses to stay competitive and responsive. Additionally, the growing emphasis on personalized user experiences, such as recommendation systems in e-commerce and content platforms, has heightened the demand for AI inference to deliver tailored outcomes swiftly and accurately. Furthermore, regulatory and compliance requirements in sectors like healthcare and finance are pushing organizations to adopt AI inference for tasks such as fraud detection, risk assessment, and diagnostics, ensuring both accuracy and scalability.
| Scope of the Report |
|---|
| Years Considered for the Study | 2020-2030 |
| Base Year | 2024 |
| Forecast Period | 2025-2030 |
| Units Considered | Value (USD Billion) |
| Segments | By Compute, Memory, Network, Deployment, Application, End User, and Region |
| Regions covered | North America, Europe, APAC, RoW |
"Machine Learning segment holds highest market share in 2024."
Machine Learning holds high market share in the AI inference market, which is driven by the expanding use of ML applications across various industries. Machine learning models, especially deep learning and reinforcement learning algorithms, require extensive computational resources to train and deploy effectively. This requirement of robust infrastructure, such as high performance GPUs, TPUs and dedicated AI accelerators, becomes essential as organizations continue to bring in machine learning for prediction analytics, recommendation engines, autonomous systems, etc. Technology companies such as Google Cloud (USA), Amazon Web Services (USA), and Microsoft Azure (USA) are enhancing their AI products to accommodate more complex ML models and providing solutions such as TPU V4 and NVIDIA'S A100 GPUs. Recent advancements such as Gcore's introduction of "Inference at the Edge" in June 2024 accelerate this trend even further through provision of nanosecond-order low-latency AI processing utilizing high-performance, strategically located nodes equipped with NVIDIA L40S GPUs. These platforms support both fundamental and custom machine learning models, including popular open-source foundation models like LLAMA Pro 8B, Mistral 7B, and Stable-Diffusion XL, paving the way towards versatility and flexibility for various scenarios. This alliance of scalability, accessibility, and state-of-the-art infrastructure reinforces machine learning's dominance in the AI inference market.
"Enterprises is projected to grow at a high CAGR of AI Inference market during the forecasted timeline"
The enterprise segment will have the highest growth rate in the AI Inference market. Enterprises have widely adopted AI solutions for better operational efficiency, offer personalized customer experience and to drive innovation. Enterprises have resources and infrastructure to deploy large-scale AI models in domains such as customer service, supply chain optimization, and predictive analytics. Healthcare enterprise use AI for medical imaging and diagnostics, financial organizations for fraud and risk detection, and retailer for AI-based recommendation system and inventory management. This growth is further propelled by rise in advancements in enterprise-focused AI platforms that simplify the deployment and scale AI applications. For instance, In May 2024, Nutanix (US) collaborated with NVIDIA Corporation (US) in order to boost adoption for generative AI . This integration of Nutanix's GPT-in-a-Box 2.0 with NVIDIA'S NIM inference microservices will enable enterprises to deploy scalable, secure, and high-performance GenAI applications both centrally and at the edge. With its platform, Nutanix simplifies the deployment of AI models and reduces the need for specialized AI expertise and empowers businesses to implement AI strategies. These innovations highlight the increasing rate at which enterprises are investing in AI inference for competitive advantages and operational improvement.
"Asia Pacific is expected to hold high CAGR in during the forecast period."
The AI inference market in Asia Pacific will grow at a high CAGR in the forecast period. Asia Pacific has seen remarkable progress in AI research, development, and deployment. Countries like China, Japan, South Korea, and Singapore are making substantial investments in AI research and infrastructure. Strong collaborations among academia, industry and government in these countries have resulted in innovations in machine learning, natural language processing, computer vision, and robotics. For instance, In October 2024, Nvidia Corporation (US) made strategic plans and collaborations in India, such as partnerships with Yotta, E2E Networks, and Netweb, to promote the use of AI technologies and create AI "factories" specific to the Indian market. These collaborations are aimed at accelerating AI inference with Nvidia's high-end GPUs, software, and networking features, including Yotta's Shakti Cloud providing Nvidia Inference Microservices (NIM) and E2E for access to Nvidia's H200 GPUs. Netweb's manufacturing of Tyrone servers based on Nvidia's MGX reference design also complements these efforts. These developments will substantially increase demand for AI inference solutions in India by allowing companies to handle sophisticated workloads, drive AI adoption in Asia Pacific, and assist startups with innovative accelerator programs.
Extensive primary interviews were conducted with key industry experts in the AI Inference market space 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 study contains insights from various industry experts, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
- By Company Type: Tier 1 - 40%, Tier 2 - 25%, and Tier 3 - 35%
- By Designation: C-level Executives - 50%, Directors - 20%, and Others - 30%
- By Region: North America - 40%, Europe - 20%, Asia Pacific - 30%, and RoW - 10%
The report profiles key players in the AI Inference market with their respective market ranking analysis. Prominent players profiled in this report are NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), Micron Technology, Inc. (US), Apple Inc. (US), Qualcomm Technologies, Inc. (US), Huawei Technologies Co., Ltd. (China), Google (US), Amazon Web Services, Inc. (US), Tesla (US), Microsoft (US), Meta (US), T-Head (China), Graphcore (UK), and Cerebras (US), among others.
Apart from this, Mythic (US), Blaize (US), Groq, Inc. (US), HAILO TECHNOLOGIES LTD (Israel), SiMa Technologies, Inc. (US), Kneron, Inc. (US), Tenstorrent (Canada), SambaNova Systems, Inc. (US), SAPEON Inc. (US), Rebellions Inc. (South Korea), Shanghai BiRen Technology Co., Ltd. (China) are among a few emerging companies in the AI Inference market.
Research Coverage: This research report categorizes the AI Inference market based on compute, memory, network, deployment, application, end user, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI Inference market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI Inference 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 Inference market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and 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 (Growing need for real-time processing at edge devices, Advanced cloud platforms offering specialized AI inference services, and Enhanced GPU capabilities for inference tasks) influencing the growth of the AI inference market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI inference market.
- Market Development: Comprehensive information about lucrative markets - the report analysis the AI inference market across varied regions
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI inference market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like NVIDIA Corporation (US), Advanced Micro Devices, Inc. (US), Intel Corporation (US), SK HYNIX INC. (South Korea), SAMSUNG (South Korea), among others in the AI inference market.
TABLE OF CONTENTS
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
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 INFERENCE MARKET
- 4.2 AI INFERENCE MARKET, BY COMPUTE
- 4.3 AI INFERENCE MARKET, BY MEMORY
- 4.4 AI INFERENCE MARKET, BY NETWORK
- 4.5 AI INFERENCE MARKET, BY APPLICATION
- 4.6 AI INFERENCE MARKET, BY END USER
- 4.7 AI INFRASTRUCTURE MARKET, BY REGION
- 4.8 AI INFERENCE MARKET, BY COUNTRY
5 MARKET OVERVIEW
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Growing demand for real-time processing on edge devices
- 5.2.1.2 Growth of advanced cloud platforms offering specialized AI inference services
- 5.2.1.3 Enhanced GPU capabilities for inference tasks
- 5.2.2 RESTRAINTS
- 5.2.2.1 Computational workload and high power consumption
- 5.2.2.2 Shortage of skilled workforce
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Growth of AI-enabled healthcare and diagnostics
- 5.2.3.2 Advancements in natural language processing for improved customer experience
- 5.2.3.3 Increasing demand for real-time data processing and analytics
- 5.2.4 CHALLENGES
- 5.2.4.1 Data privacy concerns
- 5.2.4.2 Supply chain disruptions
- 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.4 PRICING ANALYSIS
- 5.4.1 INDICATIVE PRICING 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 GenAI workload
- 5.8.1.2 High bandwidth memory (HBM)
- 5.8.1.3 High-performance computing (HPC)
- 5.8.2 COMPLEMENTARY TECHNOLOGIES
- 5.8.2.1 High-speed interconnects
- 5.8.2.2 Edge computing infrastructure
- 5.8.2.3 Data center power management and cooling system
- 5.8.3 ADJACENT TECHNOLOGIES
- 5.8.3.1 Cloud AI services
- 5.8.3.2 AI development frameworks
- 5.9 PATENT ANALYSIS
- 5.10 TRADE ANALYSIS
- 5.10.1 IMPORT SCENARIO (HS CODE 854231)
- 5.10.2 EXPORT SCENARIO (HS CODE 854231)
- 5.11 KEY CONFERENCES AND EVENTS, 2025-2026
- 5.12 CASE STUDY ANALYSIS
- 5.12.1 AI-POWERED RADIATION THERAPY OPTIMIZATION WITH INTEL CORPORATION AND SIEMENS HEALTHINEERS
- 5.12.2 ARTIFICIAL INTELLIGENCE ACCELERATES DARK MATTER SEARCH WITH ADVANCED MICRO DEVICES, INC. FPGAS
- 5.12.3 SERVING INFERENCE FOR LLMS: A CASE STUDY WITH NVIDIA TRITON INFERENCE SERVER AND ELEUTHER AI
- 5.12.4 FINCH COMPUTING REDUCES INFERENCE COSTS USING AWS INFERENTIA FOR LANGUAGE TRANSLATION
- 5.13 REGULATORY LANDSCAPE
- 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.13.2 STANDARDS
- 5.14 PORTER'S FIVE FORCES ANALYSIS
- 5.14.1 THREAT OF NEW ENTRANTS
- 5.14.2 THREAT OF SUBSTITUTES
- 5.14.3 BARGAINING POWER OF SUPPLIERS
- 5.14.4 BARGAINING POWER OF BUYERS
- 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.15.2 BUYING CRITERIA
6 AI INFERENCE 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 BOOST MARKET GROWTH
- 6.4 FPGA
- 6.4.1 INCREASING 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 NEED FOR FASTER PROCESSING IN AI RESEARCH AND APPLICATION DEVELOPMENT TO BOOST DEMAND
- 6.7 FSD
- 6.7.1 DEMAND FOR HIGH-PERFORMANCE, ENERGY-EFFICIENT AI PROCESSING IN AUTONOMOUS VEHICLES TO FUEL ADOPTION
- 6.8 INFERENTIA
- 6.8.1 ABILITY TO TRAIN COMPLEX AI AND DEEP LEARNING MODELS TO DRIVE ADOPTION
- 6.9 T-HEAD
- 6.9.1 RISING DEMAND FOR CUSTOMIZED, HIGH-PERFORMANCE AI CHIPS ACROSS CHINESE DATA CENTERS TO STIMULATE MARKET GROWTH
- 6.10 MTIA
- 6.10.1 META'S EXPANSION INTO AR, VR, AND METAVERSE TO FUEL MARKET GROWTH
- 6.11 LPU
- 6.11.1 INCREASING NEED TO HANDLE COMPLEX NLP AND LANGUAGE- BASED AI TASKS TO ACCELERATE DEMAND
- 6.12 OTHER ASICS
7 AI INFERENCE 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 INFERENCE 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 INFERENCE MARKET, BY DEPLOYMENT
- 9.1 INTRODUCTION
- 9.2 ON-PREMISES
- 9.2.1 GROWING DATA PRIVACY CONCERNS TO DRIVE MARKET
- 9.3 CLOUD
- 9.3.1 ABILITY TO SCALE RESOURCES ON DEMAND TO BOOST GROWTH
- 9.4 EDGE
- 9.4.1 INCREASING APPLICATION IN HEALTHCARE, AUTOMOTIVE, AND INDUSTRIAL AUTOMATION TO FOSTER MARKET GROWTH
10 AI INFERENCE MARKET, BY APPLICATION
- 10.1 INTRODUCTION
- 10.2 GENERATIVE AI
- 10.2.1 RULE-BASED MODELS
- 10.2.1.1 Integration with ML and deep learning to offer lucrative growth opportunities
- 10.2.2 STATISTICAL MODELS
- 10.2.2.1 Growing application in finance, economics, and healthcare sectors to fuel market growth
- 10.2.3 DEEP LEARNING
- 10.2.3.1 Ability to advance AI technologies to boost demand
- 10.2.4 GENERATIVE ADVERSARIAL NETWORKS (GANS)
- 10.2.4.1 Need to handle large-scale data to fuel market growth
- 10.2.5 AUTOENCODERS
- 10.2.5.1 Increasing use in data processing, anomaly detection, and feature extraction to accelerate demand
- 10.2.6 CONVOLUTIONAL NEURAL NETWORKS (CNNS)
- 10.2.6.1 Rising number of autonomous vehicles and smart cities to drive market
- 10.2.7 TRANSFORMER MODELS
- 10.2.7.1 Growing popularity of GPT models and BERT to offer lucrative growth opportunities
- 10.3 MACHINE LEARNING
- 10.3.1 RISING APPLICATION FOR REAL-TIME DECISION-MAKING AND DATA ANALYSIS TO FOSTER MARKET GROWTH
- 10.4 NATURAL LANGUAGE PROCESSING
- 10.4.1 GROWING DEMAND FOR SENTIMENT ANALYSIS, LANGUAGE TRANSLATION, AND SPEECH RECOGNITION TO DRIVE MARKET
- 10.5 COMPUTER VISION
- 10.5.1 ESCALATING NEED FOR ADVANCED PROCESSING CAPABILITIES TO BOOST DEMAND
11 AI INFERENCE 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 CLOUD SERVICE PROVIDERS
- 11.3.1 SURGING AI WORKLOADS AND CLOUD ADOPTION TO STIMULATE MARKET GROWTH
- 11.4 ENTERPRISES
- 11.4.1 HEALTHCARE
- 11.4.1.1 Growing demand for personalized treatment to fuel market growth
- 11.4.2 BFSI
- 11.4.2.1 Rising focus on enhancing security and improving customer services to foster market growth
- 11.4.3 AUTOMOTIVE
- 11.4.3.1 Growing focus on safe and enhanced driving experiences to fuel demand
- 11.4.4 RETAIL & E-COMMERCE
- 11.4.4.1 Rapid shift toward data-centric models to enhance customer engagement to accelerate demand
- 11.4.5 MEDIA & ENTERTAINMENT
- 11.4.5.1 Rising demand for content recommendation engines and interactive media experiences to foster market growth
- 11.4.6 OTHERS
- 11.5 GOVERNMENT ORGANIZATIONS
- 11.5.1 GROWING NEED TO ENHANCE PUBLIC SAFETY AND SECURITY TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
12 AI INFERENCE 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 Presence of established AI inference manufacturers to drive market
- 12.2.3 CANADA
- 12.2.3.1 Growing emphasis on commercializing AI to offer lucrative growth opportunities
- 12.2.4 MEXICO
- 12.2.4.1 Rapid digital transformation and surging adoption of cloud computing to fuel market growth
- 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 Increasing adoption of smart technologies to boost manufacturing to drive market
- 12.3.4 FRANCE
- 12.3.4.1 Rising government-led initiatives to strengthen AI technology to fuel market growth
- 12.3.5 ITALY
- 12.3.5.1 Rising emphasis on developing digital infrastructure to offer lucrative growth opportunities
- 12.3.6 SPAIN
- 12.3.6.1 Rapid adoption of cloud computing to accelerate 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 Proliferation of IoT devices to drive market
- 12.4.3 JAPAN
- 12.4.3.1 Rising investments to boost cloud infrastructure to foster market growth
- 12.4.4 INDIA
- 12.4.4.1 Government-led initiatives to boost AI infrastructure to offer lucrative growth opportunities
- 12.4.5 SOUTH KOREA
- 12.4.5.1 Thriving semiconductor industry to drive market
- 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
- 12.5.2.2 GCC
- 12.5.2.3 Rest of Middle East
- 12.5.3 AFRICA
- 12.5.3.1 Growing need for managing advanced data processing requirements to fuel market growth
- 12.5.4 SOUTH AMERICA
- 12.5.4.1 Growing need for flexible and secure cloud storage solutions to accelerate demand
13 COMPETITIVE LANDSCAPE
- 13.1 INTRODUCTION
- 13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2020-2024
- 13.3 REVENUE ANALYSIS, 2022-2024
- 13.4 MARKET SHARE ANALYSIS, 2024
- 13.5 COMPANY VALUATION AND FINANCIAL METRICS
- 13.6 BRAND/PRODUCT COMPARISON
- 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
- 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, 2024
- 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 Deployment footprint
- 13.7.5.6 Application footprint
- 13.7.5.7 End user footprint
- 13.7.5.8 Region footprint
- 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 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, 2024
- 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
- 14.1.3.4 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
- 14.1.4.4 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 GRAPHCORE
- 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 CEREBRAS
- 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
- 14.2 OTHER PLAYERS
- 14.2.1 MYTHIC
- 14.2.2 BLAIZE
- 14.2.3 GROQ, INC.
- 14.2.4 HAILO TECHNOLOGIES LTD.
- 14.2.5 SIMA TECHNOLOGIES, INC.
- 14.2.6 KNERON, INC.
- 14.2.7 TENSTORRENT
- 14.2.8 SAMBANOVA SYSTEMS, INC.
- 14.2.9 SAPEON INC.
- 14.2.10 REBELLIONS INC.
- 14.2.11 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
