인공지능 칩 시장 보고서(2026년)
Artificial Intelligence Chip Global Market Report 2026
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리서치사 : The Business Research Company
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한글목차

최근 인공지능 칩 시장 규모가 비약적으로 확대되고 있습니다. 2025년 402억 1,000만 달러에서 2026년 564억 8,000만 달러에 달하고, CAGR 40.4%를 보일 것으로 예측됩니다. 지금까지의 성장은 전용 AI 칩의 조기 개발, 은행 및 금융 분야에서의 초기 도입, 거래 용도의 확대, 보험 분석 분야에서의 전개, 범용 프로세서에 대한 의존도 등이 주요 요인으로 꼽힙니다.

인공지능 칩 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2030년에는 2,239억 5,000만 달러에 달할 것으로 예상되며, CAGR은 41.1%를 보일 것으로 전망됩니다. 예측 기간의 성장 요인으로는 AI 최적화 프로세서 도입 확대, 신경모방 및 딥러닝을 위한 ASIC 채택, 클라우드 기반 AI 연산 확대, 기업 데이터 플랫폼과의 통합, 의료 및 자동차 분야의 AI 용도 성장 등을 꼽을 수 있습니다. 예측 기간의 주요 동향으로는 AI 최적화 칩 개발, 고성능 GPU 및 ASIC 도입, 엣지 및 클라우드 처리 칩의 통합, 멀티칩 모듈 아키텍처의 확대, AI 가속 SoC 솔루션의 채택 등이 있습니다.

스마트홈 및 스마트 시티 수요의 급증은 인공지능 칩 시장의 중요한 촉진제가 될 것으로 보입니다. 스마트 시티는 시민의 삶을 개선하고 지속가능성과 편의성을 증진하기 위해 디지털 기술을 도입하고 있습니다. 예를 들어 캐나다에 본사를 둔 국제 산업 단체인 스마트홈 & 빌딩 협회의 2024년 조사에 따르면 응답자의 90%가 스마트 기능을 갖춘 건물을 소유하고 있다고 답했으며, 이는 2023년의 74%에서 크게 증가한 수치입니다. 스마트한 도시 생활에 대한 수요 증가는 인공지능 칩의 성장을 가속하고 있습니다.

인공지능 칩 분야의 주요 기업은 시장 수익성 향상을 위한 전략적 방안으로 SN40L 칩으로 대표되는 혁신적인 기술 솔루션 개발을 주도하고 있습니다. 생성형 AI 모델을 전문으로 하는 미국 기업 삼바노바시스템즈는 2023년 9월 SN40L 칩을 발표했습니다. 이 칩은 고객이 더 높은 품질의 AI 모델을 저렴한 비용으로 도입할 수 있도록 특별히 설계되었습니다. 기업 용도에 필수적인 거대 언어 모델을 위해 설계된 SN40L 칩은 5조 개의 파라미터 모델을 효과적으로 구동할 수 있습니다. 두 유형의 고급 메모리를 결합한 하드웨어 구성으로 사용자는 정확도를 떨어뜨리지 않고 더 큰 규모의 AI 모델을 운영할 수 있습니다.

목차

제1장 개요

제2장 시장의 특징

제3장 시장 공급망 분석

제4장 세계의 시장 동향과 전략

제5장 최종 용도 산업의 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의에 의한 공급망에 대한 영향, Covid가 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계의 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 시장의 세계 TAM(Total Addressable Market)

제9장 시장 세분화

제10장 지역별·국가별 분석

제11장 아시아태평양 시장

제12장 중국 시장

제13장 인도 시장

제14장 일본 시장

제15장 호주 시장

제16장 인도네시아 시장

제17장 한국 시장

제18장 대만 시장

제19장 동남아시아 시장

제20장 서유럽 시장

제21장 영국 시장

제22장 독일 시장

제23장 프랑스 시장

제24장 이탈리아 시장

제25장 스페인 시장

제26장 동유럽 시장

제27장 러시아 시장

제28장 북미 시장

제29장 미국 시장

제30장 캐나다 시장

제31장 남미 시장

제32장 브라질 시장

제33장 중동 시장

제34장 아프리카 시장

제35장 시장 규제 상황과 투자환경

제36장 경쟁 구도와 기업 개요

제37장 기타 대기업과 혁신적 기업

제38장 세계의 시장 경쟁 벤치마킹과 대시보드

제39장 주요 합병과 인수

제40장 시장의 잠재력이 높은 국가, 부문, 전략

제41장 부록

KSA
영문 목차

영문목차

Artificial intelligence chips are specialized computer chips designed to optimize efficiency and speed specifically for AI-related computations. These chips excel in delivering high performance and rapid processing for AI applications, particularly in areas such as banking, finance, trading, insurance, and client engagements, facilitating the extraction of business insights at scale.

The primary types of artificial intelligence chips include GPU (Graphics Processing Unit), ASIC (Application-Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), CPU (Central Processing Unit), and other chip variants. GPUs, known for providing accelerated graphics processing, are often standalone cards plugged into the PCI Express (PCIe) bus, serving gamers with top-notch performance. The processing types encompass both edge and cloud computing. Technologies involved in these chips include System-on-Chip (SoC), System-in-Package (SiP), Multi-Chip Module, and other relevant technologies. These AI chips find applications across various domains such as natural language processing (NLP), robotics, computer vision, network security, and other specialized applications. Industries leveraging artificial intelligence chips span media and advertising, Banking, Financial Services, and Insurance (BFSI), Information Technology (IT) and telecommunications, retail, healthcare, automotive and transportation, and other sectors.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the artificial intelligence chips market by raising costs for imported high-performance GPUs, ASICs, FPGAs, and system-on-chip components required for AI computation. Banking, finance, IT, and automotive industries in regions such as North America, Europe, and Asia-Pacific are most affected due to dependence on imported semiconductor technology. Nevertheless, tariffs are encouraging domestic chip assembly, regional sourcing of semiconductor materials, and innovation in cost-efficient AI chip designs, improving supply chain resilience and supporting broader adoption of AI-accelerated computing solutions.

The artificial intelligence chips market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, artificial intelligence chips market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips 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 artificial intelligence chip market size has grown exponentially in recent years. It will grow from $40.21 billion in 2025 to $56.48 billion in 2026 at a compound annual growth rate (CAGR) of 40.4%. The growth in the historic period can be attributed to early development of specialized AI chips, initial adoption in banking and finance, growth in trading applications, expansion in insurance analytics, reliance on general-purpose processors.

The artificial intelligence chip market size is expected to see exponential growth in the next few years. It will grow to $223.95 billion in 2030 at a compound annual growth rate (CAGR) of 41.1%. The growth in the forecast period can be attributed to increasing deployment of AI-optimized processors, adoption of neuromorphic and deep learning asics, expansion of cloud-based AI computations, integration with enterprise data platforms, growth in healthcare and automotive AI applications. Major trends in the forecast period include development of AI-optimized chips, deployment of high-performance gpus and asics, integration of edge and cloud processing chips, expansion of multi-chip module architectures, adoption of AI-accelerated soc solutions.

The surge in smart homes and smart city demands is projected to be a significant driver for the artificial intelligence chips market. Smart cities incorporate digital technologies to enhance the lives of citizens, promoting sustainability and convenience. For instance, in 2024, according to the Association for Smarter Homes & Buildings, a Canada-based international trade association, the 2024 survey revealed that 90% of respondents reported having smart-enabled buildings, showing a substantial increase from 74% in 2023. The escalating need for smart urban living is fueling the growth of artificial intelligence chips.

Major enterprises within the artificial intelligence chip sector are pioneering innovative technological solutions, exemplified by the SN40L chip, in a strategic move to enhance their market profitability. SambaNova Systems, a United States-based company specializing in generative AI models, introduced the SN40L chip in September 2023. This chip is specifically crafted to facilitate customers in employing higher quality AI models at a reduced overall cost. Designed for large language models essential for enterprise applications, the SN40L chip can effectively power a 5 trillion parameter model. Engineered with two sophisticated memory types, the hardware combination allows users to operate larger AI models without compromising size for precision.

In August 2023, Advanced Micro Devices Inc., a prominent semiconductor company based in the United States, finalized the acquisition of Mipsology for an undisclosed sum. This strategic move by Advanced Micro Devices Inc. aims to fortify its array of products in the realm of artificial intelligence tools and solidify its competitive standing within the chip market. Mipsology, based in France, specializes in artificial intelligence software and tools.

Major companies operating in the artificial intelligence chip market are Intel Corporation, Mediatek Inc, NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc, Alphabet Inc, NXP Semiconductors N.V, Micron Technology Inc, IBM Corporation, Apple Inc, Huawei Technologies Co Ltd, Mythic Inc, Samsung Electronics Co ltd., LG Corporation, Google LLC, Advanced Micro Devices Inc, Baidu, Mellanox Technologies, Xilinx Inc., Graphcore, Cerebras Systems, Habana Labs, Vinova Pte Ltd., MemryX Inc., BrainChip Holdings Ltd., NeuReality Ltd.

North America was the largest region in the artificial intelligence chip market in 2025. The regions covered in the artificial intelligence chip market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence chip market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. 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.

Artificial Intelligence Chip Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence 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.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence chip ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

Scope

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

2. Artificial Intelligence Chip Market Characteristics

3. Artificial Intelligence Chip Market Supply Chain Analysis

4. Global Artificial Intelligence Chip Market Trends And Strategies

5. Artificial Intelligence Chip Market Analysis Of End Use Industries

6. Artificial Intelligence Chip Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence Chip Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

8. Global Artificial Intelligence Chip Total Addressable Market (TAM) Analysis for the Market

9. Artificial Intelligence Chip Market Segmentation

10. Artificial Intelligence Chip Market Regional And Country Analysis

11. Asia-Pacific Artificial Intelligence Chip Market

12. China Artificial Intelligence Chip Market

13. India Artificial Intelligence Chip Market

14. Japan Artificial Intelligence Chip Market

15. Australia Artificial Intelligence Chip Market

16. Indonesia Artificial Intelligence Chip Market

17. South Korea Artificial Intelligence Chip Market

18. Taiwan Artificial Intelligence Chip Market

19. South East Asia Artificial Intelligence Chip Market

20. Western Europe Artificial Intelligence Chip Market

21. UK Artificial Intelligence Chip Market

22. Germany Artificial Intelligence Chip Market

23. France Artificial Intelligence Chip Market

24. Italy Artificial Intelligence Chip Market

25. Spain Artificial Intelligence Chip Market

26. Eastern Europe Artificial Intelligence Chip Market

27. Russia Artificial Intelligence Chip Market

28. North America Artificial Intelligence Chip Market

29. USA Artificial Intelligence Chip Market

30. Canada Artificial Intelligence Chip Market

31. South America Artificial Intelligence Chip Market

32. Brazil Artificial Intelligence Chip Market

33. Middle East Artificial Intelligence Chip Market

34. Africa Artificial Intelligence Chip Market

35. Artificial Intelligence Chip Market Regulatory and Investment Landscape

36. Artificial Intelligence Chip Market Competitive Landscape And Company Profiles

37. Artificial Intelligence Chip Market Other Major And Innovative Companies

38. Global Artificial Intelligence Chip Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Artificial Intelligence Chip Market

40. Artificial Intelligence Chip Market High Potential Countries, Segments and Strategies

41. Appendix

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