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세계의 하드웨어 최적화 확산 모델 지적 재산권(IP) 시장 보고서(2025년)
Hardware-Optimized Diffusion Model Intellectual Property (IP) Global Market Report 2025
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한글목차

하드웨어 최적화 확산 모델 지적 재산권(IP) 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 18억 6,000만 달러로 평가되었고, 2025년에는 23억 4,000만 달러에 달할 것으로 추정되며, CAGR 26.0%로 성장이 전망되고 있습니다. 이러한 성장은 산업 전반에 걸친 고성능 컴퓨팅 수요 증가, 인공지능 구동 애플리케이션 보급 확대, 기업 워크플로우의 고급 데이터 분석 활용 확대, 클라우드 기반 컴퓨팅 워크로드 급증, 반도체 제조 능력 확대, 에너지 효율적인 컴퓨팅 솔루션 수요 증가로 인한 것으로 보입니다.

하드웨어 최적화 확산 모델 지적 재산권(IP) 시장 규모는 향후 수년간 급성장할 것으로 예측됩니다. 2029년에는 58억 7,000만 달러에 달할 것으로 예측되며, CAGR 25.8%로 성장할 전망입니다. 예측 기간의 성장요인으로는 상업 및 산업 시스템에서의 인공지능 통합 확대, 커스터마이즈된 컴퓨팅 아키텍처에 대한 수요 증가, 각 분야에 있어서 엣지 컴퓨팅 도입 확대, 스케일러블한 데이터 처리 인프라에 수요 급증, 고성능 하드웨어 설계에 대한 투자 증가, 계산 집약적인 태스크에 있어서 운영 지연 삭감에 대한 주력 강화 등을 들 수 있습니다. 예측 기간 주요 동향으로는 신경망용 하드웨어 가속의 기술적 진보, 확산 기반 생성 모델 최적화의 진전, 메모리 효율이 우수한 프로세서 아키텍처의 혁신, 칩 레벨에서의 병렬 컴퓨팅 통합의 발전, 하이브리드 확산 하드웨어 프레임워크의 연구 개발, 생성형 지능용 도메인 특화형 하드웨어 설계의 진보 등을 들 수 있습니다.

디지털 인프라에 대한 투자 증가는 향후 수년간 하드웨어 최적화 확산 모델 지적 재산권(IP) 시장의 성장을 이끌 것으로 예측됩니다. 디지털 인프라란 디지털 통신, 데이터 전송, 컴퓨팅을 가능하게 하는 광대역 네트워크, 광섬유 연결, 5G 시스템 등의 필수 물리적 및 가상 기술을 말합니다. 고속 연결 개선과 도시와 농촌 지역의 디지털 격차 해소에 중점을 둔 관민 부문의 이니셔티브가 확대됨에 따라 디지털 인프라는 계속 확대되고 있습니다. 디지털 인프라의 개발이 데이터 생성량 증가, 접속성 향상, AI 구동 애플리케이션의 도입을 촉진함에 따라 하드웨어 최적화 확산 모델 IP 분야 수요가 증가하고 있습니다. 이들은 데이터센터 및 네트워크 엣지에서 복잡한 계산을 관리할 수 있는 효율적이고 확장 가능하며 지능적인 하드웨어 아키텍처를 필요로 합니다. 예를 들어 유럽연합(EU) 전체의 디지털 변혁을 감독하는 벨기에 정부 기관인 유럽위원회의 'Connect Europe 이니셔티브'에 의하면, 2025년 1월 시점에서 EU 역내의 광파이버 가정 접속(FTTH)의 지방부 커버율은 2022년의 40.7%에서 2023년에는 52.8%로, 또 지방부에 있어서의 5G 커버율은 동기간에 51.0%에서 73.7%로 확대되어 디지털 정비의 현저한 진전을 보여주고 있습니다. 따라서 디지털 인프라에 대한 투자 확대는 보다 고도로 분산된 AI 처리 환경을 실현함으로써 하드웨어 최적화 확산 모델 IP 시장의 성장을 지원합니다.

하드웨어 최적화 확산 모델 지적 재산권(IP) 시장의 주요 기업은 컴퓨팅 효율 및 모델 적응성을 높이기 위해 동적 신경 가속기(DNA) 아키텍처와 같은 기술 혁신의 통합에 주력하고 있습니다. DNA 아키텍처는 런타임에 처리 요소 간의 연결을 동적으로 변경하는 재구성 가능한 컴퓨팅 프레임워크로, 실시간 추론 최적화, 전력 소비 감소, 복잡한 생성 및 확산 모델 계산을 효율적으로 수행합니다. 예를 들어, 2024년 5월에는 에지 AI 가속기를 전문으로 하는 일본의 패브리스 반도체 기업인 EdgeCortix사가 엣지 환경에서 생성형 AI 및 확산 모델 워크로드를 처리하기 위해 개발된 DNA 아키텍처 기반 하드웨어 솔루션 'SAKURA II' 플랫폼을 발표했습니다. 이 플랫폼은 유연한 워크로드 매핑을 실현하는 적응형 신경 인터커넥트, 대규모 모델 처리를 위한 고메모리 대역폭, 최적의 성능과 효율을 달성하기 위한 혼합 정밀도 지원을 갖추고 있습니다. SAKURA II는 생산 AI 애플리케이션 전반에 걸쳐 추론 속도, 에너지 효율, 실시간 성능을 향상시켜 확산 모델 가속화 및 에지 AI 혁신에 중요한 전진을 보여줍니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁 및 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

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 구도 및 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

A hardware-optimized diffusion model intellectual property (IP) refers to the proprietary rights associated with an artificial intelligence (AI) model that generates images or data by gradually refining random noise into meaningful outputs and is specifically designed to run efficiently on hardware such as graphics processing units (GPUs), neural processing units (NPUs), or application-specific integrated circuits (ASICs). This involves tailoring the model's architecture, weights, precision formats, and memory or compute pipelines to fully utilize the hardware's capabilities, resulting in faster performance, reduced power consumption, and improved throughput.

The key components of hardware-optimized diffusion model intellectual property (IP) are intellectual property (IP) cores, software tools, and services. Hardware-optimized diffusion model IP cores are pre-designed, reusable hardware modules engineered to accelerate and optimize diffusion model computations on chips and processors. Deployment modes include on-premises and cloud-based systems, serving applications such as edge AI devices, data centres, consumer electronics, automotive, industrial automation, healthcare, and others, and are used by original equipment manufacturers (OEMs), research institutes, and other end users.

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.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The hardware-optimized diffusion model intellectual property (IP) market research report is one of a series of new reports from The Business Research Company that provides hardware-optimized diffusion model intellectual property (IP) market statistics, including hardware-optimized diffusion model intellectual property (IP) industry global market size, regional shares, competitors with a hardware-optimized diffusion model intellectual property (IP) market share, detailed hardware-optimized diffusion model intellectual property (IP) market segments, market trends and opportunities, and any further data you may need to thrive in the hardware-optimized diffusion model intellectual property (IP) industry. This hardware-optimized diffusion model intellectual property (IP) 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 hardware-optimized diffusion model intellectual property (IP) market size has grown exponentially in recent years. It will grow from $1.86 billion in 2024 to $2.34 billion in 2025 at a compound annual growth rate (CAGR) 26.0%. The growth during the historic period can be attributed to the increasing demand for high performance computing across industries, the rising adoption of artificial intelligence driven applications, the growing use of advanced data analytics in enterprise workflows, the surge in cloud based computational workloads, the expansion of semiconductor manufacturing capabilities, and the increasing need for energy efficient computing solutions.

The hardware-optimized diffusion model intellectual property (IP) market size is expected to see exponential growth in the next few years. It will grow to $5.87 billion in 2029 at a compound annual growth rate (CAGR) of 25.8%. The growth in the forecast period can be attributed to the rising integration of artificial intelligence in commercial and industrial systems, the growing demand for customized computing architectures, the expansion of edge computing deployment across sectors, the surge in demand for scalable data processing infrastructure, the increasing investment in high performance hardware design, and the growing focus on reducing operational latency in computation intensive tasks. Key trends in the forecast period include technological advancements in neural network hardware acceleration, advancements in diffusion based generative model optimization, innovations in memory efficient processor architecture, developments in chip level parallel computing integration, research and development in hybrid diffusion hardware frameworks, and advancements in domain specific hardware design for generative intelligence.

The increasing investments in digital infrastructure are expected to drive the growth of the hardware optimized diffusion model intellectual property (IP) market in the coming years. Digital infrastructure refers to the essential physical and virtual technologies such as broadband networks, fiber connectivity, and 5G systems that enable digital communication, data transfer, and computing. Digital infrastructure is expanding due to growing public and private sector initiatives focused on improving high speed connectivity and bridging the digital divide between rural and urban areas. The hardware optimized diffusion model IP sector is experiencing higher demand as the development of digital infrastructure supports greater data generation, connectivity, and the adoption of AI driven applications, which require efficient, scalable, and intelligent hardware architectures capable of managing complex computations in data centers and at the network edge. For example, in January 2025, according to the European Commission's Connect Europe initiative, a Belgium based government organization overseeing digital transformation across the European Union, rural coverage of fiber to the home (FTTH) in the EU grew from 40.7% in 2022 to 52.8% in 2023, while rural 5G coverage increased from 51.0% to 73.7% during the same period, showing significant progress in digital infrastructure development. Therefore, increasing investments in digital infrastructure are supporting the growth of the hardware optimized diffusion model IP market by enabling more advanced and distributed AI processing environments.

Key companies in the hardware optimized diffusion model intellectual property (IP) market are focusing on integrating technological innovations such as dynamic neural accelerator (DNA) architecture to enhance computational efficiency and model adaptability. The DNA architecture is a reconfigurable computing framework that dynamically modifies connections between processing elements during runtime, allowing real time inference optimization, reduced power usage, and efficient processing of complex generative and diffusion model computations. For instance, in May 2024, EdgeCortix, a Japan based fabless semiconductor company specializing in edge artificial intelligence (AI) accelerators, introduced the SAKURA II platform, a DNA architecture based hardware solution developed to handle generative AI and diffusion model workloads at the edge. The platform includes adaptive neural interconnects for flexible workload mapping, high memory bandwidth for large model processing, and mixed precision support for achieving optimal performance and efficiency. SAKURA II enhances inference speed, energy efficiency, and real time performance across generative AI applications, representing a significant step forward in diffusion model acceleration and edge AI innovation.

In January 2025, CEVA Inc., a US based provider of semiconductor intellectual property (IP) specializing in artificial intelligence (AI) acceleration and embedded signal processing, collaborated with Cyberon Corporation and AIZIP to expand its embedded AI neural processing unit (NPU) ecosystem for the NeuPro Nano family. Through this collaboration, CEVA aims to deliver pre optimized neural network models that accelerate edge device implementation of keyword spotting, face recognition, and speaker identification capabilities, strengthening its hardware optimized intellectual property portfolio for smart edge AI applications. Cyberon Corporation is a Taiwan based speech technology company specializing in embedded voice recognition and text to speech solutions, while AIZIP Inc. is a US based AI company concentrating on compact, energy efficient models for vision, audio, and sensor fusion applications.

Major players in the hardware-optimized diffusion model intellectual property (ip) market are Samsung Electronics Co Ltd, Intel Corporation, SoftBank Group ( Through Graphcore ), Qualcomm Incorporated, Broadcom Inc., Hewlett Packard Enterprise Company, NVIDIA Corporation, Advanced Micro Devices Inc, NXP Semiconductors N.V., Microchip Technology Inc, Synopsys Inc, Cadence Design Systems Inc, Imagination Technologies Limited, Rambus Inc, VeriSilicon Microelectronics Co Ltd, SiFive Inc, Ceva Inc, Cerebras Systems Inc, Mythic Inc, EdgeCortix Inc.

Asia-Pacific was the largest region in the hardware-optimized diffusion model intellectual property (IP) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in hardware-optimized diffusion model intellectual property (IP) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the hardware-optimized diffusion model intellectual property (IP) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The hardware-optimized diffusion model intellectual property (IP) market consists of revenues earned by entities by providing services such as hardware-software co-design services, model fine-tuning services, performance benchmarking services, algorithm acceleration services, deployment support services, and compliance and certification services. The market value includes the value of related goods sold by the service provider or included within the service offering. The hardware-optimized diffusion model intellectual property (IP) market also includes sales of hardware acceleration modules, diffusion model chipsets, embedded AI processors, edge inference units, AI optimization libraries, and on-device AI engines. 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.

Hardware-Optimized Diffusion Model Intellectual Property (IP) 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 hardware-optimized diffusion model intellectual property (ip) 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 hardware-optimized diffusion model intellectual property (ip) ? 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 hardware-optimized diffusion model intellectual property (ip) 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 forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Characteristics

3. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Trends And Strategies

4. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Hardware-Optimized Diffusion Model Intellectual Property (IP) Growth Analysis And Strategic Analysis Framework

6. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Segmentation

7. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Regional And Country Analysis

8. Asia-Pacific Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

9. China Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

10. India Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

11. Japan Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

12. Australia Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

13. Indonesia Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

14. South Korea Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

15. Western Europe Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

16. UK Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

17. Germany Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

18. France Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

19. Italy Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

20. Spain Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

21. Eastern Europe Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

22. Russia Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

23. North America Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

24. USA Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

25. Canada Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

26. South America Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

27. Brazil Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

28. Middle East Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

29. Africa Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

30. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Competitive Landscape And Company Profiles

31. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Other Major And Innovative Companies

32. Global Hardware-Optimized Diffusion Model Intellectual Property (IP) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

34. Recent Developments In The Hardware-Optimized Diffusion Model Intellectual Property (IP) Market

35. Hardware-Optimized Diffusion Model Intellectual Property (IP) Market High Potential Countries, Segments and Strategies

36. Appendix

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