Advances in Semiconductor Technology: Strategic Intelligence
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Next-generation chips mark the next frontier of semiconductor innovation, bringing advances across chip design, materials, manufacturing processes, performance optimization, and advanced packaging. These technologies sit at the core of the global digital transformation, driven largely by the rapid expansion of AI tools and compute-intensive applications.
Next-generation semiconductors underpin today’s most advanced technologies, including premium consumer electronics, hyperscale data centers, 5G network infrastructure, satellite broadband and earth observation systems, commercial and military radar, and defense platforms. As performance demands rise and form factors shrink, chip innovation has become a strategic priority across industries.
Scope
This report provides a focused analysis of recent advances in semiconductor technology, with particular attention to the innovations shaping the next wave of chip development.
Key areas of analysis include:
- Breakthroughs in photolithography
- Advances in integrated circuit (IC) packaging
- Evolution in transistor architecture and design
The report also examines developments in power semiconductors, photonic chips, and radio-frequency chips positioned for future 6G applications, highlighting how these technologies are expanding semiconductor use cases beyond traditional computing.
Key Highlights
From 2026 to 2028, semiconductor fabrication facilities will face significant engineering challenges as they attempt to move beyond the 2-nanometer (nm) process node. ASML is expected to retain its global leadership in extreme ultraviolet (EUV) lithography, while China continues to mobilise its domestic semiconductor ecosystem to develop a local alternative. However, a realistic global challenge to ASML is unlikely before 2029 or 2030.
Rising demand for AI accelerators is driving sustained growth in high bandwidth memory (HBM) requirements, both in volume and performance. While SK Hynix and Micron Technology are advancing rapidly, Samsung Electronics is reportedly constrained by lower HBM yields, reshaping competitive dynamics within the memory market.
AI ASICs’ share in the AI chip market is set to rise sharply, increasing from 10% in 2024 to more than 25% by 2028. Major technology companies are increasingly investing in custom silicon strategies, reinforcing the shift toward tailored chip architectures optimised for specific AI workloads.
Reasons to Buy
Industries worth trillions of dollars, including aerospace and defense, transportation, telecommunications, manufacturing, and healthcare, are becoming increasingly dependent on next-generation semiconductor technologies. These chips are also foundational to the continued evolution and scalability of AI.
This report provides a clear, technology-led understanding of the innovations reshaping the semiconductor industry, helping decision-makers stay informed on where chip development is heading and why it matters.
Who should buy this report?
This report is designed for:
- Semiconductor manufacturers and foundries are planning next-node and packaging strategies
- Fabless chip designers developing AI, networking, and high-performance compute solutions
- Technology and AI leaders evaluating custom silicon and hardware roadmaps
- Telecom, defense, and aerospace organizations are reliant on advanced chip performance
- Investors and strategy teams assessing long-term competitiveness in semiconductor value chains
- Policy and supply-chain leaders monitoring lithography, memory, and manufacturing dependencies
Advantest
Alibaba
AMD
Analog Devices
Ansys
Applied Materials
Arm
ASML
ASMPT
Atom Computing
Atos
AWS
Ayar Labs
Baidu
Besi
Broadcom
Cadence
Cambricon
Capella Space
Cerebras
Changchun Institute of Optics, Finae Mechanics & Physics (CIOMP)
ChangXin Memory Technologies (CXMT)
Cisco
Coherent
D-Wave
Dupont
Ebara
Epiworld International
Fuji Electric
Geely
Global Foundries
GTA Semiconductor
GUC
Hanmi
Hanwha
Harbin Institute of Technology
Hitachi Hi-Tech
HiWafer
HPE
Huawei
IBM
ID Qunatique
Infineon
Infleqtion
Innoscience
Institute of Microelectronics Chinese Academy of Science (IMECAS)
Intel
IntelliEPI
IonQ
IQE
JoinSilicon
KLA
Knowm
Kokusai Electric
Lam Research
LightSynQ
Lumentim
MagicQ
Marvell
MediaTek
Meta
Microchip
Micron Technology
Microsoft
Mitsubishi Chemical Group
Mitsubishi Electric
Monolithic Power Systems (MPS)
Nokia
NTT
Numenta
Nvidia
NXP
O-BASF
Onsemi
OpenAI
OpenLight
Pasqal
PsiQuantum
Qorvo
Quantinuum
Quantum Brilliance
Qubitekk
QuEra
Quintessence Labs
Qunatum Motion
QunatumCTek
Renesas
Rigetti Computing
ROHM
Samsung
Sanan
Shanghai Micro Electronics Equipment (SMEE)
Shin Etsu
SICC
Siemens
Silicon Quantum Computing
SK Hynix
SK Siltron
Skyworks
SMIC
Socionext
Soitec
Solvay
SST
ST Microelectronics
Sumitomo Electric
SUMC
SUSS
Synlight Crystal
Synposys
SynSense
TankeBlue
Teradyne
Texas Instruments
Tianyu
Tokyo Electron
Toshiba
TSMC
Tysic
University of Science and Technology
VPEC
Wolfspeed
Xanadu
X-FAB
Yangtze Memory Technologies (YMTC)
Zeiss
ZTE
Zuken
Table of Contents
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