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한글목차
머신러닝 칩 시장 규모는 향후 몇 년 동안 비약적인 성장을 보일 것으로 예상되며, 2029년에는 1,033억 5,000만 달러 규모로 성장할 것으로 예상되며, CAGR은 37.4%에 달할 것으로 예상됩니다. 예측 기간의 성장은 엣지 디바이스에 AI의 통합, AI 알고리즘의 지속적인 복잡성 증가, 에너지 효율에 대한 관심 증가, AI 애플리케이션의 범위 확대, 자율 시스템의 세계 추진에 기인합니다. 예측 기간의 주요 동향으로는 기술 제휴 및 공동 연구, AI 연구개발 투자, AI 기술 발전, 오픈 소스 하드웨어에 대한 노력, 커스터마이징 및 전문화 등이 있습니다.
사이버 공격의 급증은 머신러닝 칩 시장의 성장을 견인할 것으로 예상됩니다. 사이버 공격은 컴퓨터 정보 시스템, 네트워크, 개인 기기를 대상으로 한 공격적인 작전을 포함하며, 고도의 사이버 보안 대책이 필요하게 되었습니다. 머신러닝 칩은 데이터를 지속적으로 평가하고, 패턴을 인식하고, 정확한 예측을 하고, 잠재적인 사이버 위협을 효과적으로 완화하는 머신러닝 알고리즘을 적용할 수 있도록함으로써 이 분야에서 중요한 역할을 하고 있습니다. 2023년 2월, 호주 사이버 보안센터는 사이버 범죄 신고 건수가 크게 증가하여 2022년에 전년 대비 13% 증가한 76,000건에 달했다고 보고했습니다. 또한, 피싱 대책 워킹그룹은 피싱 공격이 크게 증가하여 2022년 1분기에 102만 5,968건이 발생하여 2021년 4분기 대비 15% 증가했다고 보고했습니다. 이러한 사이버 위협의 급증은 머신러닝 칩 시장 확대의 원동력이 되고 있음을 뒷받침하고 있습니다.
머신러닝 칩 시장의 주요 기업들은 경쟁력을 강화하기 위해 혁신적인 제품 개발에 전략적으로 집중하고 있습니다. 특히 영국의 반도체 제조사인 실리콘랩은 2022년 1월 새로운 AI/ML 칩과 툴킷을 발표했습니다. 이는 사물인터넷(IoT) 엣지에서 인공지능(AI)과 머신러닝(ML)을 구현할 수 있도록 하는 것을 목표로 하고 있습니다. 무선 시스템온칩(SoC)은 AI/머신러닝 가속기, 무선 무선, 초저전력 기능, Matter 및 Zigbee와 같은 IP 기반 연결 프로토콜 지원을 통합하여 엣지 기반 AI/ML 애플리케이션을 위한 종합적인 솔루션을 제공합니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계 머신러닝 칩 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인, 억제요인)
최종 이용 산업 분석
세계의 머신러닝 칩 시장 : 성장률 분석
세계의 머신러닝 칩 시장 실적 : 규모와 성장, 2019-2024
세계의 머신러닝 칩 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계 머신러닝 칩 전체 시장(TAM)
제6장 시장 세분화
세계의 머신러닝 칩 시장 칩 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
그래픽처리장치(GPU)
특정 용도용 프로세서(ASIC)
필드 프로그래머블 게이트 어레이(FPGA)
중앙처리장치(CPU)
기타 칩
세계의 머신러닝 칩 시장 : 기술별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
시스템온칩(SoC)
시스템 인 패키지
멀티칩 모듈
기타 기술
세계의 머신러닝 칩 시장 : 업계별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
은행, 금융 서비스, 보험(BFSI)
IT와 통신
미디어와 광고
소매
헬스케어
자동차
기타 업종
세계의 머신러닝 칩 시장, 그래픽처리장치(GPU) 하위 세분화(유형별), 실적과 예측, 2019-2024, 2024-2029F, 2034F
전용 GPU
통합 GPU
세계의 머신러닝 칩 시장, 특정 용도용 집적회로(ASIC) 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
AI용 커스텀 ASIC
범용 ASIC
세계의 머신러닝 칩 시장 필드 프로그래머블 게이트 어레이(FPGA) 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
구성 가능한 FPGA
임베디드 FPGA
세계의 머신러닝 칩 시장, 중앙처리장치(CPU) 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
멀티 코어 CPU
고성능 CPU
세계의 머신러닝 칩 시장, 기타 칩 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
뉴로모픽칩
디지털 신호 프로세서(DSP)
텐소르프로셋싱유닛트(TPU)
제7장 지역별·국가별 분석
세계의 머신러닝 칩 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
세계의 머신러닝 칩 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 개요
머신러닝 칩 시장 : 경쟁 구도
머신러닝 칩 시장 : 기업 개요
Google LLC Overview, Products and Services, Strategy and Financial Analysis
Samsung Electronics Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
Tencent Holdings Limited Overview, Products and Services, Strategy and Financial Analysis
Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
Taiwan Semiconductor Manufacturing Company Limited(TSMC) Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 주요 기업과 혁신적 기업
Intel Corporation
International Business Machines Corporation(IBM)
SoftBank Group Corp
Qualcomm Incorporated
Micron Technology, Inc.(US)
NVIDIA Corporation
Toshiba Corporation
Advanced Micro Devices Inc.
Texas Instruments Incorporated
Baidu Inc.
NXP Semiconductors
Synopsys Inc.
Lattice Semiconductor Corporation
Horizon Robotics
Hailo
제32장 세계의 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병
제34장 최근의 시장 동향
제35장 시장 잠재력이 높은 국가, 부문, 전략
머신러닝 칩 시장 2029 : 새로운 기회를 제공하는 국가
머신러닝 칩 시장 2029 : 새로운 기회를 제공하는 부문
머신러닝 칩 시장 2029 : 성장 전략
시장 동향에 기반한 전략
경쟁 전략
제36장 부록
ksm
영문 목차
영문목차
Machine-learning chips are dedicated hardware components specifically engineered to expedite the processing of machine-learning algorithms. These chips are designed to efficiently manage the intricate mathematical computations required for training and inference tasks associated with machine-learning models, outperforming general-purpose processors in these specialized tasks.
The primary types of machine learning chips include Graphics Processing Units (GPU), Application-Specific Processors (ASIC), Field-Programmable Gate Arrays (FPGA), Central Processing Units (CPU), and others. A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate computer graphics and image processing. Various technologies associated with these chips include system-on-chip (SoC), system-in-package, multi-chip modules, and others. These chips find applications across diverse industry verticals, including banking, financial services, and insurance (BFSI), IT and telecom, media and advertising, retail, healthcare, automotive, and others.
The machine learning chip market research report is one of a series of new reports from The Business Research Company that provides machine learning chip market statistics, including machine learning chip industry global market size, regional shares, competitors with a machine learning chip market share, detailed machine learning chip market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning chip industry. This machine learning chip market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The machine learning chip market size has grown exponentially in recent years. It will grow from $21.12 billion in 2024 to $28.97 billion in 2025 at a compound annual growth rate (CAGR) of 37.2%. The growth in the historic period can be attributed to rise in big data analytics, increasing adoption of cloud services, emergence of edge computing, growing ai applications across industries, expansion of iot devices.
The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $103.35 billion in 2029 at a compound annual growth rate (CAGR) of 37.4%. The growth in the forecast period can be attributed to integration of ai in edge devices, continued ai algorithm complexity, increased focus on energy efficiency, expanding scope of ai applications, global push for autonomous systems. Major trends in the forecast period include technological partnerships and collaborations, investments in ai research and development, advancements in ai technologies, open source hardware initiatives, customization and specialization.
The surge in cyberattacks is anticipated to drive the growth of the machine learning chip market. Cyberattacks, encompassing offensive maneuvers targeting computer information systems, networks, and personal devices, prompt the need for advanced cybersecurity measures. Machine learning chips play a crucial role in this domain by enabling the application of machine learning algorithms to continuously assess data, recognize patterns, and make accurate predictions, effectively mitigating potential cyber threats. In February 2023, the Australian Cyber Security Centre reported a significant increase in cybercrime reports, reaching 76,000 in 2022, reflecting a 13% rise from the previous year. Additionally, the Anti-Phishing Working Group recorded a substantial uptick in phishing attacks, with 1,025,968 incidents in the first quarter of 2022, marking a 15% increase from the fourth quarter of 2021. This surge in cyber threats underscores the driving force behind the machine learning chip market's expansion.
Leading companies in the machine learning chip market are strategically focusing on developing innovative products to gain a competitive edge. Notably, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit in January 2022. This initiative aims to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the Internet of Things (IoT) edge. The wireless System-on-Chip (SoC) integrates an AI and machine learning accelerator, wireless radio, ultra-low-power capabilities, and support for IP-based connectivity protocols such as Matter and Zigbee, providing a comprehensive solution for edge-based AI and ML applications.
In October 2023, Advanced Micro Devices Inc., a US-based semiconductor company, made a strategic acquisition by purchasing Nod.AI for an undisclosed amount. This acquisition is expected to enhance Advanced Micro Devices Inc.'s capabilities in open AI software and reinforce its market position. Nod.ai, a US-based software company specializing in machine learning chip development, brings valuable expertise to Advanced Micro Devices Inc., aligning with the company's commitment to advancing AI technology and strengthening its overall portfolio in the semiconductor industry.
Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings
North America was the largest region in the machine learning chip market in 2024. The regions covered in the machine learning chip market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the machine learning chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain
The machine learning chip market consists of sales of neural processing units (NPU), graphical processing units (GPU), control units (CU), arithmetic logic units (ALU), address generation units (AGU), and memory management units (MMU). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Machine Learning Chip Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on machine learning chip market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for machine learning chip ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning chip market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Chip Type: Graphics Processing Unit (GPU); Application-Specific Processor (ASIC); Field Programmable Gate Array (FPGA); Central Processing Unit (CPU); Other Chips
2) By Technology: System-On-Chip (SoC); System-In-Package; Multi-Chip Module; Other Technologies
3) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI); IT And Telecom; Media And Advertising; Retail; Healthcare; Automotive; Other Industry Verticals
Subsegments:
1) By Graphics Processing Unit (GPU): Dedicated GPUs; Integrated GPUs
2) By Application-Specific Integrated Circuit (ASIC): Custom ASICs For AI; General-Purpose ASICs
3) By Field Programmable Gate Array (FPGA): Configurable FPGAs; Embedded FPGAs
4) By Central Processing Unit (CPU): Multi-Core CPUs; High-Performance CPUs
5) By Other Chips: Neuromorphic Chips; Digital Signal Processors (DSP); Tensor Processing Units (TPU)
Companies Mentioned: Google LLC; Samsung Electronics Co. Ltd.; Tencent Holdings Limited; Amazon Web Services Inc.; Taiwan Semiconductor Manufacturing Company Limited (TSMC)
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.
Table of Contents
1. Executive Summary
2. Machine Learning Chip Market Characteristics
3. Machine Learning Chip Market Trends And Strategies
4. Machine Learning Chip Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market
5. Global Machine Learning Chip Growth Analysis And Strategic Analysis Framework
5.1. Global Machine Learning Chip PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Machine Learning Chip Market Growth Rate Analysis
5.4. Global Machine Learning Chip Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Machine Learning Chip Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Machine Learning Chip Total Addressable Market (TAM)
6. Machine Learning Chip Market Segmentation
6.1. Global Machine Learning Chip Market, Segmentation By Chip Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Graphics Processing Unit (GPU)
Application-Specific Processor (ASIC)
Field Programmable Gate Array (FPGA)
Central Processing Unit (CPU)
Other Chips
6.2. Global Machine Learning Chip Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
System-On-Chip (SoC)
System-In-Package
Multi-Chip Module
Other Technologies
6.3. Global Machine Learning Chip Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Banking, Financial Services, And Insurance (BFSI)
IT And Telecom
Media And Advertising
Retail
Healthcare
Automotive
Other Industry Verticals
6.4. Global Machine Learning Chip Market, Sub-Segmentation Of Graphics Processing Unit (GPU), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Dedicated GPUs
Integrated GPUs
6.5. Global Machine Learning Chip Market, Sub-Segmentation Of Application-Specific Integrated Circuit (ASIC), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Custom ASICs For AI
General-Purpose ASICs
6.6. Global Machine Learning Chip Market, Sub-Segmentation Of Field Programmable Gate Array (FPGA), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Configurable FPGAs
Embedded FPGAs
6.7. Global Machine Learning Chip Market, Sub-Segmentation Of Central Processing Unit (CPU), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Multi-Core CPUs
High-Performance CPUs
6.8. Global Machine Learning Chip Market, Sub-Segmentation Of Other Chips, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Neuromorphic Chips
Digital Signal Processors (DSP)
Tensor Processing Units (TPU)
7. Machine Learning Chip Market Regional And Country Analysis
7.1. Global Machine Learning Chip Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Machine Learning Chip Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
