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市場調查報告書
商品編碼
2149574
晶片組和先進異質整合市場預測至2034年——按整合技術、晶片組類型、互連方法、應用、最終用戶和地區分類的全球分析Chiplet & Advanced Heterogeneous Integration Market Forecasts to 2034 - Global Analysis By Integration Technology, Chiplet Type, Interconnect Approach, Application, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球晶片和先進異質整合市場規模將達到 49 億美元,並在預測期內以 11.5% 的複合年成長率成長,到 2034 年將達到 117 億美元。
小晶片和先進的異質整合技術使半導體製造商能夠在單一封裝內整合多個專用晶片,從而打造靈活的高效能運算解決方案。這種方法透過先進的封裝技術整合了處理、儲存、加速和其他功能,而不是依賴單一大型晶片。透過縮短互連距離和提高元件密度,可以提升頻寬、能源效率、可擴展性和製造柔軟性。這些技術在人工智慧、高效能運算、資料中心、汽車系統、通訊和先進電子產品等領域正變得日益重要。
台積電表示,其CoWoS先進封裝技術將於2024年開始量產,光罩尺寸將比現有技術大3.5倍;而支援更大光罩尺寸(比現有技術大5.5倍)的CoWoS-L技術計畫於2026年獲得認證。該公司稱,CoWoS-L將支援下一代資料中心運算的異質整合。
對人工智慧和高效能運算的需求日益成長
人工智慧、機器學習和高效能運算的日益普及推動了晶片組和異質整合技術的應用。這些高要求的應用需要更高的運算效能、更快的記憶體存取速度和更高的能效,促使製造商將專用半導體晶片與先進的封裝技術相結合。基於晶片組的架構有助於整合處理器、加速器、記憶體和連接功能,從而實現可擴展的設計。因此,人工智慧基礎設施的擴展、資料中心的部署以及先進運算系統的普及進一步增加了對先進異質半導體封裝解決方案的需求。
製造和包裝的複雜性
技術複雜性和高昂的製造成本會限制晶片組和異質整合技術的應用。將多個半導體晶片整合在一起需要精確的組裝、複雜的互連結構、有效的熱控制、全面的測試以及專業的封裝能力。這些要求會推高生產成本,同時也會對可靠性和品質帶來進一步的挑戰。此外,企業還需要先進的設施、設備和熟練的人員才能成功整合晶片組。因此,小規模的製造商在採用這些技術時可能會面臨更大的障礙,而複雜的設計可能需要更長的開發週期和更多的工程資源。
在汽車和邊緣運算領域應用日益廣泛。
先進汽車系統的發展和邊緣運算應用的擴展為晶片整合創造了更多成長機會。汽車擴大整合用於自動駕駛、駕駛輔助、感測器處理、連接和數位介面的處理器,而邊緣設備則需要在有限的功耗和物理限制下實現高性能。異質整合能夠將專用處理、儲存、感測和通訊功能整合到緊湊的半導體封裝中。電動車、自動駕駛技術和分散式運算的持續進步有望加速基於晶片的半導體架構的廣泛應用。
供應鏈和製造生態系中的限制因素
對專業半導體製造和封裝資源的依賴可能對晶片整合構成風險。基於晶片的系統需要先進的基板、中介層、封裝設備、測試基礎設施和先進的製造能力,而這些資源並非總是廣泛可用。材料、設備或半導體製造設施的中斷會導致生產成本增加和交貨延遲。先進封裝技術在特定地區的集中也使其更容易受到區域性中斷的影響。這種對生態系統的依賴可能會使製造商更難實現穩定且擴充性的晶片製造。
新冠疫情對整個半導體生產和供應鏈造成了嚴重衝擊,晶片組和異構整合活動也受到影響。製造地關閉、勞動力短缺、運輸困難以及元件短缺導致生產延誤和營運成本上升。同時,對雲端平台、資料中心、遠端辦公技術和數位服務的日益依賴也推動了對先進運算能力的需求。在此背景下,半導體製造商加大了對先進封裝、模組化晶片組設計和高效整合方法的投資,以滿足不斷變化的性能和生產需求。
在預測期內,2.5D 整合細分市場預計將佔據最大的市場佔有率。
預計在預測期內,2.5D整合技術將佔據最大的市場佔有率,因為它能夠讓多個晶片透過共用的中介層高效高速地通訊並協同工作。這項技術有效地結合了高性能、可擴展性、能源效率和易於管理的製造流程。它尤其適用於處理器、記憶體模組、加速器和高效能運算系統等應用。成熟的封裝技術、與先進半導體製造流程的兼容性以及整合各種功能組件的能力,都促進了其在先進計算應用中的廣泛應用。
預計在預測期內,汽車和自動駕駛系統領域將呈現最高的複合年成長率。
在預測期內,汽車和自動駕駛系統領域預計將呈現最高的成長率。這是因為現代汽車對運算能力的需求日益成長,以滿足自動駕駛功能、駕駛輔助、感測器處理、資訊娛樂和互聯等需求。基於晶片組的設計能夠將不同的處理器、加速器、記憶體和感測組件高效整合到緊湊的封裝中。這種柔軟性使得可擴展的汽車運算架構能夠在效能和功耗之間取得平衡。日益成長的電氣化、軟體定義汽車平臺以及自動駕駛技術的發展,正在推動對異質整合技術日益成長的需求。
在預測期內,亞太地區預計將佔據最大的市場佔有率,這得益於其深厚的半導體和封裝生態系統。包括台灣、韓國、中國大陸、日本和東南亞國家在內的地區,具備涵蓋半導體製造、OSAT服務、記憶體生產、基板和先進封裝等方面的能力。該地區在晶片架構以及2.5D和3D整合技術方面累積了豐富的專業知識。其強大的電子供應鏈以及對先進半導體封裝領域不斷成長的投資,進一步鞏固了其在區域市場的領先地位。
在預測期內,北美預計將呈現最高的複合年成長率,這主要得益於對人工智慧 (AI) 基礎設施、雲端服務、資料中心和高效能運算日益成長的需求。該地區擁有眾多半導體創新企業、超大規模資料中心公司和先進運算開發公司,從中受益匪淺。對國內晶片生產和先進封裝基礎設施的投資不斷增加,也提升了該地區的實力。因此,隨著晶片級處理器、AI 加速器和專用運算平台的發展,異質整合解決方案在北美的普及速度正在進一步加快。
According to Stratistics MRC, the Global Chiplet & Advanced Heterogeneous Integration Market is accounted for $4.9 billion in 2026 and is expected to reach $11.7 billion by 2034 growing at a CAGR of 11.5% during the forecast period. Chiplet and advanced heterogeneous integration enable semiconductor manufacturers to assemble several specialized dies within one package, creating flexible and high-performance computing solutions. The approach combines processing, memory, acceleration, and other functions through advanced packaging methods rather than depending on a single large die. By reducing interconnect distances and improving component integration, it can enhance bandwidth, power efficiency, scalability, and manufacturing flexibility. These technologies are increasingly relevant to artificial intelligence, high-performance computing, data centers, automotive systems, telecommunications, and sophisticated electronic devices.
According to TSMC, its CoWoS advanced packaging technology entered volume production at 3.5-times reticle size in 2024, while larger 5.5-times reticle-size CoWoS-L qualification is scheduled for 2026. The company states that CoWoS-L supports heterogeneous integration for next-generation data-center computing.
Rising demand for AI and high-performance computing
Increasing use of artificial intelligence, machine learning, and high-performance computing is supporting the expansion of chiplet and heterogeneous integration technologies. These demanding applications require higher computational performance, faster memory access, and improved power efficiency, encouraging manufacturers to combine specialized semiconductor dies in advanced packages. Chiplet-based architectures facilitate integration of processors, accelerators, memory, and connectivity functions while offering scalable designs. Expanding AI infrastructure, data-center deployments, and sophisticated computing systems are consequently creating stronger demand for advanced heterogeneous semiconductor packaging solutions.
High manufacturing and packaging complexity
High technical complexity and manufacturing costs can constrain adoption of chiplet and heterogeneous integration technologies. Combining several semiconductor dies requires accurate assembly, advanced interconnect structures, effective thermal control, comprehensive testing, and specialized packaging capabilities. These requirements may raise production costs while introducing additional reliability and quality challenges. Companies also need advanced facilities, equipment, and skilled personnel to successfully integrate chiplets. Consequently, smaller manufacturers may face greater barriers to implementation, while complex designs can require longer development cycles and increased engineering resources.
Growing adoption in automotive and edge computing
The development of sophisticated automotive systems and expanding edge computing applications offers additional growth opportunities for chiplet integration. Vehicles increasingly incorporate processors for autonomous functions, driver assistance, sensor processing, connectivity, and digital interfaces, while edge devices demand high performance within limited power and physical constraints. Heterogeneous integration can combine specialized processing, memory, sensing, and communication capabilities in compact semiconductor packages. Continued progress in electric vehicles, automated driving technologies, and decentralized computing can consequently encourage broader deployment of chiplet-based semiconductor architectures.
Supply chain and manufacturing ecosystem constraints
Dependence on specialized semiconductor manufacturing and packaging resources can create risks for chiplet integration. Chiplet-based systems require advanced substrates, interposers, packaging machinery, testing infrastructure, and sophisticated fabrication capabilities that may not always be widely available. Interruptions involving materials, equipment, or semiconductor facilities can increase production costs and extend delivery schedules. Concentration of advanced packaging capabilities within specific regions can also increase exposure to localized disruptions. These ecosystem dependencies may make achieving consistent and scalable chiplet manufacturing more challenging for manufacturers.
The COVID-19 outbreak created significant disruptions across semiconductor production and supply networks, influencing chiplet and heterogeneous integration activities. Manufacturing closures, labor limitations, transportation challenges, and component shortages caused delays and raised operational expenses. At the same time, increased reliance on cloud platforms, data centers, remote working technologies, and digital services boosted demand for advanced computing capabilities. This environment encouraged semiconductor manufacturers to increase investments in advanced packaging, modular chiplet designs, and efficient integration methods to meet evolving performance and production needs.
The 2.5D integration segment is expected to be the largest during the forecast period
The 2.5D integration segment is expected to account for the largest market share during the forecast period because it enables several chiplets to operate through a shared interposer with efficient, high-speed communication. The technology offers an effective combination of performance, scalability, energy efficiency, and manageable manufacturing requirements. It is particularly applicable to processors, memory modules, accelerators, and high-performance computing systems. Mature packaging capabilities, compatibility with sophisticated semiconductor manufacturing processes, and the ability to integrate diverse functional components contribute to its widespread adoption across advanced computing applications.
The automotive & autonomous systems segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the automotive & autonomous systems segment is predicted to witness the highest growth rate because modern vehicles demand increasingly powerful computing capabilities for autonomous functions, driver assistance, sensor processing, infotainment, and connectivity. Chiplet-based designs allow different processors, accelerators, memory, and sensing components to be integrated efficiently within compact packages. This flexibility supports scalable automotive computing architectures while balancing performance and power requirements. Expanding electrification, software-defined vehicle platforms, and autonomous driving development are strengthening demand for heterogeneous integration technologies.
During the forecast period, the Asia Pacific region is expected to hold the largest market share, benefiting from a deeply established semiconductor and packaging ecosystem. Countries including Taiwan, South Korea, China, Japan, and Southeast Asian economies contribute capabilities spanning semiconductor fabrication, OSAT services, memory production, substrates, and advanced packaging. The region has developed substantial expertise in chiplet architectures and 2.5D and 3D integration technologies. Its strong electronics supply chain and expanding investments in advanced semiconductor packaging continue to strengthen its regional market leadership.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by expanding artificial intelligence infrastructure, cloud services, data centers, and high-performance computing requirements. The region benefits from a strong presence of semiconductor innovators, hyperscale companies, and advanced computing developers. Rising investment in domestic chip production and sophisticated packaging infrastructure is enhancing regional capabilities. Increasing development of chiplet-enabled processors, AI accelerators, and specialized computing platforms is consequently encouraging broader adoption of heterogeneous integration solutions throughout North America.
Key players in the market
Some of the key players in Chiplet & Advanced Heterogeneous Integration Market include Samsung Electronics, Intel Corporation, NVIDIA Corporation, Advanced Micro Devices (AMD), Taiwan Semiconductor Manufacturing Company (TSMC), ASE Technology Holding, Amkor Technology, Broadcom Inc., JCET Group, Marvell Technology, Inc., IBM, Qualcomm Technologies Inc., Micron Technology Inc., GlobalFoundries, Powertech Technology Inc. (PTI), Chipbond Technology, Nepes and TongFu Microelectronics.
In April 2026, Intel Corp plans to invest an additional $15 million in AI chip startup SambaNova Systems, according to a Reuters review of corporate records, as the semiconductor company deepens its focus on artificial intelligence infrastructure. The proposed investment, which is subject to regulatory approval, would raise Intel's ownership stake in SambaNova to approximately 9%.
In March 2026, NVIDIA and Marvell Technology, Inc. announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion(TM), offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.
In May 2025, Samsung Electronics announced that it has signed an agreement to acquire all shares of FlaktGroup, a leading global HVAC solutions provider, for €1.5 billion from European investment firm Triton. With the global applied HVAC market experiencing rapid growth, the acquisition reinforces Samsung's commitment to expanding and strengthening its HVAC business.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.