Alejandra Pineda’s Post

✅ Chiplet Market Size, Share, Growth Drivers, Trends , Opportunities, Industry Report To 2028 Download PDF Brochure @ https://lnkd.in/dhwAYe2z The #chiplet market is projected to grow from USD 6.5 billion in 2023 and is estimated to reach USD 148.0 billion by 2028; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 86.7% from 2023 to 2028. The growth of the chiplet market is driven by adoption of advanced packaging technologies, and proliferation of data centers worldwide. By processor, the AI ASIC coprocessor is projected to grow at high CAGR of the chiplet market during the forecast. The AI ASIC coprocessor segment is positioned for robust growth, driven by the escalating demand for specialized hardware accelerators in AI applications. As #AI workloads become increasingly prevalent across the healthcare, finance, and automotive sectors, the need for dedicated AI ASIC coprocessors continues to rise. Chiplet-based AI ASICs offer a targeted and efficient approach to offloading AI-related tasks from general-purpose processors like CPUs and #GPUs. Enterprise Electronics segment is projected to grow at high CAGR of the chiplet market during the forecast period. The eneterprise electronics segment is expected to grow at high CAGR in chiplet market during the forecast period. Chiplets have revolutionized semiconductor design by offering a scalable and customizable approach to enterprise electronics. They enable businesses to create specialized integrated circuits, optimizing performance and power efficiency. They also enhance package-level yield and reduce costs by allowing the replacement of defective components without discarding entire chips. This modular approach accelerates development cycles and supports rapid scalability to meet changing demands. Asia Pacific is expected to hold the largest share in the market by 2028. The Asia Pacific region is expected to hold the largest share of the chiplet market during the forecast period. The growth is driven by presence of some of the leading economies such as China, Japan, and South Korea that are focusing on development of #chiplettechnology . Key companies operating in the chiplet market are Intel Corporation (US), Advanced Micro Devices, Inc. (US), Apple Inc. (US), IBM (US), @Marvell (US), MediaTek Inc. (Taiwan), NVIDIA Corporation (us), Achronix Semiconductor Corporation (US), RANOVUS Inc. (Canada), and ASE Technology, Inc. Holding Co., Ltd. (Taiwan). #AI #machinelearning #Iot #technews

At Intel, advanced packaging technology is crucial for delivering high-quality, reliable semiconductors. But what exactly does that mean? Advanced packaging involves sophisticated techniques to assemble and interconnect multiple semiconductor chips within a single package. This innovation enables the creation of complex integrated circuits with enhanced performance, greater functionality, and improved efficiency. Our advancements in advanced packaging are essential to meet the growing demand for larger and denser processors, driven by emerging fields like exascale computing and AI. These applications require high-performance, low-power chips capable of processing massive quantities of data swiftly. Learn more about how Intel's advanced packaging technology is shaping the future of computing. #AdvancedPackaging #Innovation #AI #IAmIntel https://dy.si/3xB49a

🔍 The AI Chip Revolution: A $341B Market Reshaping Tech The AI chip ecosystem is experiencing unprecedented transformation, driven by innovation across multiple layers: 💡 Key Players Making Waves: • NVIDIA dominates with 80% market share in AI chips • TSMC's new 2nm process launching in 2025 • ASML's next-gen High-NA EUV machines ($380M each) shipping to Intel • ARM's new v9 architecture optimized for AI workloads 🚀 Emerging Innovations: • Graphene-based semiconductors showing 10x performance gains • Google's AlphaChip revolutionizing chip design with AI • Advanced packaging enabling 3D chip stacking • New memory architectures (HBM3E) pushing bandwidth limits 🌐 Market Dynamics: • AI chip demand expected to grow 25% annually through 2033 • Major cloud providers developing custom silicon • Geopolitical tensions driving regional semiconductor investments • $52B CHIPS Act reshaping manufacturing landscape The race is on as traditional boundaries blur between designers, manufacturers, and cloud providers. Who do you think will lead the next wave of AI chip innovation?#AI #Semiconductors #Technology #Innovation #FutureOfTech #TechTrends

Top Five Trends in Chip Design Technology How many transistors can you fit on a tiny piece of silicon, an unassuming platform that holds a vast number of integrated circuits (ICs) that power technology all over the world? In 1971, the first microprocessor was built with 2,300 transistors – but today’s silicon can boast more than 100 billion. Before the decline of Moore’s Law, the number of transistors that could be packed onto an IC was roughly doubling every two years, and the Holy Grail of chip design was to get as small as possible — but we hit a wall with the laws of physics. Today’s smallest practical transistors measure just two nanometers (nm) across, a little larger than your typical atom. As we try to scale that wall and continue to innovate in chip design, I see several trends emerging that we should watch in the semiconductor industry. Some, like cloud, have been developing for years and are becoming as normalized as traditional data center computing, and others, like artificial intelligence (AI) and machine learning, are still in their infancy but penetrating nearly every area of human technology development. Trend #1: Reaching for the Sky VLSI Trend #2: Bringing Design In-House Trend #3: Designing in the Cloud Trend #4: Artificial Intelligence and Machine Learning Trend #5: Technology Convergence More Details: https://lnkd.in/gG86imqG #Semiconductor #AICTE

🌟 Exciting Breakthrough in AI Chip Technology!🌟 As an engineering student in Electronics and Telecommunication, I’m always fascinated by the rapid advancements in the semiconductor industry. Recently, a groundbreaking AI chip has emerged, surpassing performance benchmarks of giants like Nvidia, AMD, and Intel by a significant margin. This new AI chip, with over **4 trillion transistors**, delivers **20x faster speeds** compared to existing models, marking a major milestone in computing power and AI innovation. This level of advancement opens up immense possibilities for sectors like autonomous systems, AI-powered devices, and data processing at unprecedented speeds. Such innovations truly showcase the endless potential within the semiconductor industry, and I am motivated to be part of this technological evolution, aiming to contribute to India’s growth in this field. Looking forward to witnessing how this will shape the future of AI and technology as a whole! #Semiconductors #AI #Technology #Electronics #Telecommunication #Innovation #Engineering #FutureTech

𝐍𝐞𝐮𝐫𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐒𝐞𝐧𝐬𝐢𝐧𝐠 𝐌𝐚𝐫𝐤𝐞𝐭 𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟐: 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 📊 | 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐟𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐂𝐨𝐩𝐲: https://lnkd.in/dSn_-w9M Neuromorphic computing is redefining the landscape of artificial intelligence and sensory processing, mimicking the human brain’s neural architecture to enable efficient, low-power, real-time processing. By 2023, the Neuromorphic Computing and Sensing Market reached a valuation of $5.3 billion and is projected to expand to $27.8 billion by 2032, growing at a CAGR of 20.5% 📈. This rapid growth is fueled by demand from sectors like autonomous vehicles, robotics, IoT, and medical devices. Neuromorphic chips bring advanced AI applications closer to reality by allowing for highly responsive, energy-efficient computing that significantly outpaces traditional silicon architectures. 🚗🤖📲 Our latest report provides in-depth insights into the Neuromorphic Computing and Sensing Market, including both quantitative and qualitative analysis. The study examines key manufacturers, regional trends, types, and applications driving this market. You’ll find detailed company profiles, product examples, and estimated market share assessments for top competitors in 2024, all crafted to help you make informed strategic decisions. 🌐🔍 𝐁𝐲 𝐓𝐲𝐩𝐞: Neuromorphic Chips, Sensors, Processors 𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Automotive, Consumer Electronics, Healthcare, Industrial Automation, Robotics 𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧: North America, Europe, Asia-Pacific, South America, Middle East & Africa 𝐁𝐲 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬: Intel Corporation, Qualcomm, BrainChip , Samsung Electronics, SynSense, Innatera, PROPHESEE, Analog Devices, Knowm Inc, Sony Electronics, Xilinx, SK hynix, Microchip Technology Inc., Visionary Semiconductor Inc., Samsung R&D Institute Indonesia, Syntiant Corp., Spin Memory, CEA-Leti, Neuralab, Graphcore, Lattice Semiconductor, Aspinity, Inc., NVIDIA, MediaTek #neuromorphiccomputing #sensortechnology #AIrevolution #semiconductorindustry #futureofAI #cognitivecomputing #roboticsinnovation #lowpowercomputing #advancedAI #autonomoussystems #growthpotential #marketinsights #researchreport #digitaltransformation #brainmimicking #deeptech #technologyinnovation #marketanalysis #electronics #iot

TSMC aims to produce ultra-advanced 1.6-nm #chips by 2026  #Taiwan #chip titan aims to secure leading position and capture #AI demand Taiwan Semiconductor Manufacturing Co. says it will start production of ultra-advanced 1.6-nanometer chips by 2026 as the world's top chipmaker races to secure its leadership over the next decade. #TSMC unveiled its A16 #technology at the North America Technology Symposium in #SantaClara, #California, on Wednesday, saying the introduction of 1.6-nm chipmaking technology can "greatly improve logic [#chip] density and performance." “At TSMC, we are offering our customers the most comprehensive set of technologies to realize their visions for AI [using] the world’s most advanced silicon," chief executive C.C. Wei said at the event. Thanks again to Cheng Ting-Fang and Nikkei Asia for the full article with more background and insights via the link below 💡🙏👇 https://lnkd.in/eJMxSpQe #semiconductorindustry #semiconductors #tech #innovation #asml #it #nvidia #computer #thenetherlands #semiconductormanufacturing #ai #lithography #geopolitics #icdesign #foundry #computing #server #hbm