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Advanced Semiconductor Packaging Market Forecast to Grow at 7.5% CAGR Through 2031 – Find Out Why | Valuates Reports

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BANGALORE, India, April 24, 2025 /PRNewswire/ — Advanced Semiconductor Packaging Market is Segmented by Type (Fan-Out Wafer-Level Packaging (FO WLP), Fan-In Wafer-Level Packaging (FI WLP), Flip Chip (FC), 2.5D/3D), by Application (Telecommunications, Automotive, Aerospace and Defense, Medical Devices, Consumer Electronics).

The Advanced Semiconductor Packaging Market was valued at USD 18090 Million in the year 2024 and is projected to reach a revised size of USD 29800 Million by 2031, growing at a CAGR of 7.5% during the forecast period.

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Major Factors Driving the Growth of Advanced Semiconductor Packaging Market:

The advanced semiconductor packaging market is poised for robust, double digit growth through 2030 as value creation shifts decisively from front end scaling to back end integration. Demand for heterogeneous chiplet architectures, high bandwidth memory stacks, ultra thin fan out modules, and automotive grade power packages is expanding. Continuous 5 G densification, cloud AI acceleration, and electric vehicle adoption keep volumes rising and average selling prices escalating, even as substrate and equipment supply tightens.

With sustainability goals favouring yield efficient known good die assembly and governments underwriting regional resiliency, the market is set to outpace the broader semiconductor industry, cementing advanced packaging as the chief engine of performance and profitability in the silicon value chain.

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TRENDS INFLUENCING THE GROWTH OF THE ADVANCED SEMICONDUCTOR PACKAGING MARKET:

Flip chip packaging energises the advanced semiconductor packaging landscape by eliminating long wire bonds and replacing them with dense arrays of solder bumps that connect the die face down to the substrate. The ultra short electrical path lowers inductance, cuts signal latency, and boosts bandwidth—precisely the performance mix demanded by AI accelerators, high end mobile SoCs, and data centre GPUs. FC’s excellent thermal profile distributes heat efficiently across copper pillars, enabling higher power envelopes without throttling. Yield learning on 3 nm and 2 nm nodes has driven down bump pitch variability, making FC the default choice for heterogeneously integrated chiplets as well as monolithic dies. As fabless giants push multi die systems, FC capacity expansion directly converts into market wide revenue uplift.

Fan out WLP sidesteps the substrate entirely, redistributing I/O in epoxy mould compound and delivering ultra thin packages ideal for space constrained devices. By decoupling die size from I/O count, FO WLP unlocks high pin count connectivity for wearables, true wireless earbuds, RF front ends, and millimetre wave 5 G modules. The ability to singulate multiple known good dies on a reconstituted wafer trims test time and boosts overall yield. Simpler stack ups translate to fewer materials and lower assembly cost relative to FC substrates, extending advanced packaging economics to mid range handsets and IoT sensors. As panel level fan out lines ramp in Korea, Taiwan, and China, the technology’s keen cost per area advantage is widening its addressable market and fuelling sustained revenue growth.

Automotive electrification and autonomy require rugged, high reliability packaging that survives extreme temperature cycles, vibration, and humidity over 15 plus year lifetimes. ADAS domain controllers, radar, LiDAR, battery management ICs, and power inverters now employ advanced packaging—embedded die, FC CSP, and molded array packages—to meet stringent AEC Q100 Grade 0 standards. Meanwhile, zonal E/E architectures multiply the number of high speed SerDes links in a vehicle, driving demand for advanced substrates with sub 10 µm line width/spacing. Automakers’ push for over the air update capability places server class processors under the hood, intensifying the need for high density interposers and chiplet based designs. As electric vehicle volumes climb, long term supply agreements between tier one OSATs and OEMs lock in robust, multi year growth for advanced semiconductor packaging.

The shift from monolithic scaling to heterogeneous integration is propelling demand for advanced packaging as the primary vehicle for combining logic, memory, analog, and photonics dies in a single system in package. High density interposers, hybrid bonding, and through silicon vias allow designers to mix process nodes cost effectively, squeezing more functionality into smaller footprints while sidestepping reticle limits and yield cliff risks. The move brings architectural freedom that conventional wire bond could never match, positioning advanced packaging as a critical enabler of continued silicon centric innovation despite slowing Moore’s law node progression.

Ubiquitous 5 G base stations, open RAN radios, and edge AI gateways rely on RF front end modules and high performance baseband processors that can only meet thermal and signal integrity targets through advanced fan out, FC BGA, or system in package approaches. Carrier aggregation, beam forming, and ultra low latency requirements all drive higher bandwidth density, tighter phase noise, and harsher heat loads—parameters that modern packaging resolves far better than legacy solutions. As telcos spread mmWave and sub 6 GHz coverage, orders for multi chip, antenna in package modules scale in lock step with network densification.

Large language model training, graph analytics, and computational lithography require massive chip to chip bandwidth inside servers. Silicon interposers with micro bump pitches under 40 µm deliver terabytes per second of parallel throughput between logic tiles and HBM stacks, slashing energy per bit and shrinking board level congestion. Hyperscalers’ appetite for AI accelerators forces OSATs to develop bigger organic substrates, advanced underfills, and multi bridge configurations, translating directly into higher ASPs and multi year capacity investments.

Power electronics for traction inverters and fast chargers call for wide bandgap GaN and SiC dies co packaged with control ICs on high thermal conductivity substrates such as AlN or SiN. Advanced packaging enables epoxy mould compound alterations to withstand 500 A per phase, while integrated heat spreaders lower junction temperatures. Sensor fusion ECUs and domain controllers likewise consolidate into high pin count packages, further expanding automotive share of the total addressable market.

Demand for sleeker smartphones, AR glasses, and health monitoring wearables compresses z height budgets, pushing OEMs toward fan in WLP, FO PLP, and moulded core embedded packages. The reduction in discrete components per board frees up battery space, enhances water resistance, and shortens design cycles. As brands fight for feature differentiation within pocket size constraints, advanced packaging’s ability to co integrate MEMS, PMICs, and RF circuits sustains its growth momentum.

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ADVANCED SEMICONDUCTOR PACKAGING MARKET SHARE:

Asia Pacific dominates volume with Taiwan and South Korea housing the world’s largest OSATs and foundry adjacent packaging lines, but mainland China’s accelerated investment is narrowing the gap. North America leads in advanced interposer R&D thanks to hyperscaler co development, while Europe’s automotive strength sustains steady demand for rugged packages. Emerging hubs in India and Southeast Asia benefit from supply chain diversification, collectively creating a vibrant, geographically stratified demand profile.

Key Companies:

IMF GmbHAmkorSPILIntel Corp.JCETASETFMETSMCHuatianPowertech Technology IncUTACNepesWalton Advanced EngineeringKyoceraChipbondChipMOS

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

Semiconductor Advanced Packaging Market was estimated to be worth USD 15670 Million in 2023 and is forecast to a readjusted size of USD 26270 Million by 2030 with a CAGR of 7.5% during the forecast period 2024-2030.Semiconductor Advanced Packaging Materials Market was valued at USD 13610 Million in the year 2024 and is projected to reach a revised size of USD 28050 Million by 2031, growing at a CAGR of 10.2% during the forecast period.Advanced Packaging Inspection and Metrology Equipment Market was valued at USD 817 Million in the year 2024 and is projected to reach a revised size of USD 1530 Million by 2031, growing at a CAGR of 9.5% during the forecast period.Semiconductor Packaging and Test Systems Market was valued at USD 14540 Million in the year 2024 and is projected to reach a revised size of USD 21780 Million by 2031, growing at a CAGR of 6.0% during the forecast period.Advanced Packaging Inspection Systems market is projected to grow from USD 419.7 Million in 2024 to USD 723.5 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 9.5% during the forecast period.Mold Release Film for Semiconductor Packaging MarketAdvanced Packaging Lithography Equipment MarketAdvanced Packaging Interconnect Electroplating Solution MarketTin Plating Solution for Semiconductor Packaging Market3D-IC Packaging Market was valued at USD 18470 Million in the year 2024 and is projected to reach a revised size of USD 29850 Million by 2031, growing at a CAGR of 7.2% during the forecast period.Advanced Packaging for Automotive Chips market was valued at USD 463 Million in 2023 and is anticipated to reach USD 969.1 Million by 2030, witnessing a CAGR of 11.7% during the forecast period 2024-2030.

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

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SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

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SOURCE Investing.com

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