Connect with us

Technology

Semiconductor IP Market size is set to grow by USD 2.71 billion from 2024-2028, complex chip designs and use of multi-core technologies to boost the market growth, Technavio

Published

on

NEW YORK, June 18, 2024 /PRNewswire/ — The global semiconductor IP market  size is estimated to grow by USD 2.71 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 7.47%  during the forecast period. Complex chip designs and use of multi-core technologies is driving market growth, with a trend towards emergence of nanophotonic ICs. However, reuse of semiconductor IP  poses a challenge. Key market players include Achronix Semiconductor Corp., Advanced Micro Devices Inc., Alphawave IP Group plc, Arm Ltd., Arteric Inc., Cadence Design Systems Inc., CAST Inc., CEVA Inc., Dolphin Design SAS, Dream Chip Technologies GmbH, eMemory Technology Inc., Faraday Technology Corp., Imagination Technologies Ltd., Lattice Semiconductor Corp., Perceptia Devices Australia, Rambus Inc., Siemens AG, Synopsys Inc., VeriSilicon Microelectronics Shanghai Co. Ltd., and videantis GmbH.

Get a detailed analysis on regions, market segments, customer landscape, and companies – Click for the snapshot of this report

Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

End-user (Fabless semiconductor companies, IDMs, and Foundries), Application (Mobile computing devices, Consumer electronics, Automotive, Industrial automation, and Others), Form Factor (Processor IP, Physical IP, and Digital IP), and Geography (North America, APAC, Europe, South America, and Middle East and Africa)

Region Covered

North America, APAC, Europe, South America, and Middle East and Africa

Key companies profiled

Achronix Semiconductor Corp., Advanced Micro Devices Inc., Alphawave IP Group plc, Arm Ltd., Arteric Inc., Cadence Design Systems Inc., CAST Inc., CEVA Inc., Dolphin Design SAS, Dream Chip Technologies GmbH, eMemory Technology Inc., Faraday Technology Corp., Imagination Technologies Ltd., Lattice Semiconductor Corp., Perceptia Devices Australia, Rambus Inc., Siemens AG, Synopsys Inc., VeriSilicon Microelectronics Shanghai Co. Ltd., and videantis GmbH

Key Market Trends Fueling Growth

The semiconductor IP market is experiencing growth due to the integration of nanophotonic structures in electronic devices. These structures enable the development of miniaturized semiconductor devices with higher integration densities, high-density optoelectronic ICs for optical fiber communication, and flexible electronics circuits. IBM is a leading vendor in this space, having developed low-cost, commercially available electronic-photonic ICs. The adoption of nanophotonic technology for transistor development, such as carbon nanotube transistors, is increasing design complexity and driving innovation in memory chip layout design. The global nanophotonic IC market is expected to reach USD79.42 million by 2021, growing at a CAGR of 14.51%. 

The Semiconductor Intellectual Property (IP) market is experiencing significant growth due to the increasing demand for advanced technologies. Chip companies require efficient and effective IP cores for their designs. Memory IP, such as SRAM and ROM, is a major segment in this market. Processors, connectivity IP, and interface IP are also key areas of focus. The trend towards miniaturization and higher performance is driving the need for new and innovative IP solutions. Companies like Intellectual Property (IP) providers offer a wide range of IP cores for various applications. These IP cores are essential for the design and development of modern electronic systems. The IP market is competitive, with many players vying for market share. However, those who can provide high-quality, reliable, and cost-effective IP solutions will thrive in this market. 

Research report provides comprehensive data on impact of trend. For more details- Download a Sample Report

Market Challenges

The semiconductor industry faces significant challenges with third-party IP usage, leading to extensive IP reuse over the past 15 years. Companies often lack proper methods to manage and track IP cores, including crucial RTL data and licensing metadata. This oversight can result in unintentional IP reuse, causing financial penalties and legal issues. Few companies prioritize IP block management, leaving many vulnerable to IP violations. Instances of unintentional IP reuse include new design teams mistakenly using third-party IP and engineers unaware of IP agreement terms. Annual IP reuse increases financial liability for companies at risk of IP violations. Proper IP management is essential to mitigate these challenges and ensure the semiconductor IP market’s growth.The semiconductor IP market faces several challenges in today’s technology landscape. Intellectual property (IP) providers must keep up with the rapid advancements in technology, such as the increasing complexity of designs and the need for smaller, more power-efficient chips. Technologies like FinFET and 7nm processes require new and innovative IP solutions. Additionally, the growing importance of security and reliability in semiconductor designs presents a challenge for IP providers. Cost and time-to-market pressures also loom large, making it essential for IP providers to offer flexible licensing models and efficient design integration. Competition from both established players and new entrants adds to the complexity of the market. Overall, the semiconductor IP market requires providers to be agile, innovative, and responsive to meet the evolving needs of the industry.

For more insights on driver and challenges – Download a Sample Report

Segment Overview 

This semiconductor ip market report extensively covers market segmentation by

End-user 1.1 Fabless semiconductor companies1.2 IDMs1.3 FoundriesApplication 2.1 Mobile computing devices2.2 Consumer electronics2.3 Automotive2.4 Industrial automation2.5 OthersForm Factor3.1 Processor IP3.2 Physical IP3.3 Digital IPGeography 4.1 North America4.2 APAC4.3 Europe4.4 South America4.5 Middle East and Africa

1.1 Fabless semiconductor companies-  In the semiconductor industry, fabless companies opt for third-party IP licenses to minimize manufacturing overheads and reduce design time. This approach saves fabless companies an average of USD90-190 million and cuts down designing time by half, compared to in-house processor development. Notable companies, including Actions Semiconductor, Allwinner Technology, Marvell, AMD, Broadcom, MediaTek, Microchip, Rambus, Qualcomm, Xilinx, and Realtek, have adopted this strategy to meet OEM requirements and bring semiconductor devices to market more efficiently. The use of third-party IPs is projected to continue growing in the forecast period.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022)  – Download a Sample Report

Research Analysis

The Semiconductor IP market plays a crucial role in system design, enabling the creation of various electronic devices in sectors such as telecommunications, automotive, consumer electronics, industrial devices, and emerging technologies. Chip design processes involve significant development expenses, making IP cores an essential component for operational efficiency and cost-effectiveness. SoC designs incorporate processors, memory modules, analog circuits, and interface modules from IP providers. Collaboration between semiconductor manufacturers and IP providers is essential for innovation, product launches, and time-to-market advantages. Design efficiency, chip reliability, and performance are key considerations in the selection of IP cores. Intellectual property protection is essential to prevent patent infringement and maintain a competitive edge in research and development. Market expansion in various sectors drives the demand for semiconductor IP solutions.

Market Research Overview

The Semiconductor Intellectual Property (IP) market refers to the buying and selling of pre-designed and tested semiconductor IP cores and blocks. These IP cores and blocks include digital signal processing (DSP) cores, memory interfaces, and processor cores, among others. The semiconductor IP market caters to various industries such as automotive, consumer electronics, industrial, and telecommunications. The market is driven by the increasing demand for miniaturization, cost reduction, and time-to-market considerations in semiconductor design. The semiconductor IP market also offers benefits such as reduced design risk, faster time-to-market, and lower development costs. The market is expected to grow significantly due to the increasing adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT).

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

End-userFabless Semiconductor CompaniesIDMsFoundriesApplicationMobile Computing DevicesConsumer ElectronicsAutomotiveIndustrial AutomationOthersForm FactorProcessor IPPhysical IPDigital IPGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

View original content to download multimedia:https://www.prnewswire.com/news-releases/semiconductor-ip-market-size-is-set-to-grow-by-usd-2-71-billion-from-2024-2028–complex-chip-designs-and-use-of-multi-core-technologies-to-boost-the-market-growth-technavio-302175308.html

SOURCE Technavio

Continue Reading

Technology

Gigawatt AI acquires Data Fusion Solutions to accelerate its Power module and expand utility outage intelligence

Published

on

By

The acquisition of Data Fusion Solutions adds 11 years of U.S. outage history, nationwide outage tracking, and geospatial capabilities to advance utility outage visibility and communications.

CHICAGO, Nov. 3, 2026 /PRNewswire-PRWeb/ — Gigawatt AI, the AI-native software suite purpose-built for regulated utilities, today announced its acquisition of Data Fusion Solutions (DFS), a provider of outage tracking, geospatial mapping, and data services. The acquisition accelerates Gigawatt’s Power module for utility outage management, strengthening its foundation for outage visibility, customer communications, and predictive intelligence.

Customers need clear power status, restoration estimates, and updates they can trust, and that requires outage, meter, and customer information to work together.

Data Fusion Solutions brings an 11-year U.S. outage archive containing 26 million distinct incident points, with coverage spanning 1,200 utility operating companies and representing 96% of electric consumers in the United States. Its products include outage dashboards, alerts, geospatial map services, and custom data feeds. DFS’s professional outage dashboard collects outage information every 15 minutes.

For utility operations and customer service leaders, Gigawatt’s Power module is designed to reduce routine outage inquiries, improve notification accuracy, and give customers and agents clearer visibility into power status. Through the Utility Data Fabric, it connects outage, meter, and customer information across public maps, utility websites, and agent views. Configurable rules govern outage communications alongside existing outage management and billing systems.

“Customers need clear power status, restoration estimates, and updates they can trust,” said Joe Berti, Chief Executive Officer of Gigawatt. “That requires outage, meter, and customer information to work together. DFS brings the historical depth and geographic coverage to accelerate that connected experience through Power.”

The acquisition advances three areas of Power’s development:

Historical outage context: DFS’s archive adds historical context for outage analysis, complementing premise and customer data from connected utility systems.Nationwide outage coverage: DFS’s national data footprint supports broader outage visibility, complemented by premise-level intelligence from connected utility systems.Predictive intelligence: Historical incident data provides a foundation for developing and validating models for restoration timing.

“DFS brings established outage data, mapping products, and domain expertise that directly accelerate Power,” said Reid Snyder, Senior Vice President of Corporate Development and Strategy at Gigawatt. “The acquisition strengthens our foundation for connecting outage intelligence with utility workflows.”

“Understanding an outage requires both current information and the geographic and historical context behind it,” said Patrick Willging, Chief Technology Officer of Data Fusion Solutions. “Joining Gigawatt creates an opportunity to connect that context with customer communications and agent workflows, helping utilities provide clearer information from the first report through restoration.”

To learn more about Gigawatt Power for utility outage management, visit gigawatt.ai/power.

About Gigawatt

Gigawatt AI provides an AI-native software suite purpose-built for regulated utilities. Its Customer, Revenue, Service, Procurement, Power, and Market modules support essential utility functions through an AI-native Utility Data Fabric. Utilities can deploy modules incrementally alongside existing customer information, enterprise resource planning, and operational systems, improving defined workflows without first replacing core technology. Founded by utility and AI transformation leaders and developed with direct input from top-tier utilities in the United States, Gigawatt supports secure, governed, and scalable AI adoption across regulated utility operations. Gigawatt has locations in Chicago, Nashville, and Austin. For more information, visit gigawatt.ai.

Media Contact

Thiers Ferreira, Gigawatt AI, 55 31995174259, thiers@gigawatt.ai, https://gigawatt.ai/

View original content to download multimedia:https://www.prweb.com/releases/gigawatt-ai-acquires-data-fusion-solutions-to-accelerate-its-power-module-and-expand-utility-outage-intelligence-302928050.html

SOURCE Gigawatt AI

Continue Reading

Technology

How the NIH Common Fund Data Ecosystem Could Accelerate Scientific Discovery

Published

on

By

CU Anschutz researchers play a major role in evaluating research data from 18 programs to help scientists uncover relationships across studies and make better use of existing research.

AURORA, Colo., Nov. 3, 2026 /PRNewswire/ — Scientists generate vast amounts of research data, but connecting information across studies can be difficult. The NIH Common Fund Data Ecosystem is working to change that by making research datasets from 18 NIH programs easier to find, connect and analyze.

The initiative brings together research resources spanning human genetics, the microbiome and emerging technologies, helping scientists explore relationships that might otherwise remain hidden across separate studies.

A new paper published in Patterns describes the ecosystem’s development, infrastructure and tools, as well as efforts to evaluate its impact.

“The challenge is no longer just generating more scientific data. It’s making the data we already have work together in ways that help researchers answer questions they couldn’t tackle before,” said Casey Greene, PhD, professor of biomedical informatics at CU Anschutz and study senior author. “When information is connected across research programs, scientists have more opportunities to identify patterns, explore new relationships and build on discoveries made by others.”

The goal is to make complex datasets easier to find, interpret and analyze, including for researchers without advanced programming or bioinformatics expertise.

How Can Connecting Research Data Help Scientists Make New Discoveries?

Understanding a disease or identifying a promising drug target may require scientists to connect genetic information with molecular measurements, tissue data and results from drug-screening experiments. A drug target is a molecule or biological process that researchers investigate as a potential point of action for a treatment.

When these resources can be explored together, researchers may be better equipped to understand biological mechanisms, identify meaningful patterns and investigate promising directions for further study.

“Scientific discovery rarely happens in isolation. A finding in one dataset may become much more meaningful when it can be examined alongside evidence from another study or another area of biology,” said Julie A. Jurgens, PhD, associate director of scientific delivery for the Knowledge Portal Network at the Broad Institute of MIT and Harvard and study corresponding author. “Building the connections between these resources can help researchers spend less time navigating fragmented systems and more time asking important scientific questions.”

By making existing research easier to access and combine, the ecosystem aims to help scientists build on findings from multiple programs rather than examining each dataset in isolation.

Evaluating Effectiveness

Researchers at CU Anschutz contribute to the initiative’s coordination and evaluation efforts, helping assess how effectively the shared research infrastructure supports scientists and delivers value across research programs.

The work examines whether connecting datasets across programs helps researchers find and use information in ways that separate public repositories cannot.

The team is also evaluating indicators of research engagement and impact, including how often scientists use the ecosystem’s online resources and cite related publications. Preliminary findings suggest that related research publications may receive more citations than comparable papers, although additional analysis is needed to understand the significance of those differences.

These evaluation efforts are intended to help determine how the ecosystem can remain useful, accessible and valuable to researchers over time.

How Could Connected Research Data Support Artificial Intelligence?

As artificial intelligence becomes more prominent in scientific research, well-organized and connected datasets could also help computational tools analyze scientific information more effectively.

The ecosystem offers an opportunity to explore how infrastructure designed to help people navigate scientific evidence might also support emerging AI-driven approaches to research.

“The long-term opportunity is to create a research environment where valuable data don’t sit in separate repositories waiting for someone to make the right connection,” said Sean Davis, MD, PhD, professor of bioinformatics at CU Anschutz. “By making those connections easier to discover and explore, we can help scientists get more value from existing research and create new opportunities for future discoveries.”

By making existing evidence easier to find, interpret and combine, the NIH Common Fund Data Ecosystem aims to help researchers uncover meaningful connections, explore new scientific questions and make more effective use of the research investment already made.

The Common Fund Data Ecosystem and corresponding publication are the product of a multi-institutional, multidisciplinary collaboration across 5 centers, 18 programs, and multiple partnerships.

Key Points:

Connecting research across programs: The NIH Common Fund Data Ecosystem is working to connect research resources from 18 NIH programs, making information easier to find, analyze and combine.Supporting scientific discovery: Researchers could use connected genetic, molecular, tissue and drug-screening data to investigate biological mechanisms and identify new research directions.Evaluating research impact: CU Anschutz researchers are helping assess the ecosystem’s use, value and long-term effectiveness.Exploring future AI applications: More accessible and connected scientific data could support emerging AI approaches to biomedical research.

About the University of Colorado Anschutz
The University of Colorado Anschutz is a world-class academic medical campus leading transformative advances in science, medicine, education and patient care. The campus includes the University of Colorado’s health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals – UCHealth University of Colorado Hospital and Children’s Hospital Colorado – which see nearly three million adult and pediatric patient visits each year. Innovative, interconnected and highly collaborative, CU Anschutz delivers life-changing treatments, exceptional patient care and top-tier professional training. The campus conducts world-renowned research supported by $890 million in funding, including $762 million in sponsored awards and $128 million in philanthropic gifts for research.

Find the latest CU Anschutz news here.

Contact: Kelsea Pieters, CU Anschutz
                Kelsea.pieters@cuanschutz.edu, Phone: (804) 314-1360

View original content to download multimedia:https://www.prnewswire.com/news-releases/how-the-nih-common-fund-data-ecosystem-could-accelerate-scientific-discovery-302928243.html

SOURCE University of Colorado Anschutz

Continue Reading

Technology

Gradient Opens Its Doors to Tulsa for Global Entrepreneurship Week

Published

on

By

Five days of free programming, November 16 to 20, celebrating the spirit of entrepreneurship in Tulsa

TULSA, Okla., Nov. 3, 2026 /PRNewswire/ — Gradient, recently named the world’s top Global Entrepreneur Support Organization by the International Business Innovation Association (INBIA), will open its doors November 16 to 20 for Tulsa’s Global Entrepreneurship Week. More than 20 sessions are free and open to the public, bringing together founders, students, creatives, investors, and anyone with an idea. Registration is open now at joingradient.com/gew.

“Every big idea starts somewhere, and you don’t have to figure it out alone. Bring your questions, pick a session, and jump in. Global Entrepreneurship Week at Gradient is your invitation to connect, explore ideas, and discover what’s possible, wherever you are on your journey,” said Devon Laney, President and CEO of Gradient.

Sponsored by Microsoft, the week is expected to draw more than 1,000 attendees to Gradient, 12 North Cheyenne Avenue. Programming spans every side of entrepreneurship. Highlights include:

Monday, Nov. 16: Opening breakfast at 8:30 a.m. with a proclamation from Tulsa Mayor Monroe Nichols; STARTedUP Foundation founder Don Wettrick and Tulsa Public Schools on entrepreneurship in the classroom; business finance; Campus to Company, 1 Million Cups Tulsa’s university pitch competition; raising smaller checks; and CO.STARTERS Intro to Entrepreneurship.Tuesday, Nov. 17: An Open House across the whole building; design and Canva classes; AI and automation tools; small business banking with Bank of Oklahoma; and Meet the Incubator.Wednesday, Nov. 18: Morning yoga; Substack writer Hunter Harris, former NPR leader Doug Mitchell and Tulsa Local News Initiative CEO Ziva Branstetter on the future of media; producers from the FX series The Lowdown on building a film industry in Tulsa; intellectual property with the U.S. Patent and Trademark Office; and the Tulsa Entrepreneurship Town Hall, where State Representative Ronald Stewart and City Councilor Laura Bellis take audience questions.Friday, Nov. 20: The week closes in the evening with a 10-year celebration on the Garden Deck.

“Great entrepreneurial communities are built by the people who show up, share ideas, and take action. Global Entrepreneurship Week is our chance to bring Gradient’s global recognition home and invite all of Tulsa to be part of the momentum,” Laney said.

Tulsa’s program is part of Global Entrepreneurship Week, held November 16 to 22 in about 200 countries under the theme Entrepreneurs Thrive Here. It also falls in Gradient’s 10th anniversary year.

Registration and full schedule: joingradient.com/gew

About Gradient

Gradient is Tulsa’s hub for innovation and the sixth-largest tech and innovation hub in the country, with roughly 4,500 members spanning founders, investors, operators, and partners. In 2026, Gradient was named both Technology Entrepreneur Support Organization of the Year and Global Entrepreneur Support Organization of the Year, INBIA’s highest honor. Now in its 10th year, Gradient reports $1.76 billion in regional economic impact since 2021. Learn more at joingradient.com.

About Global Entrepreneurship Week

Global Entrepreneurship Week is a campaign to celebrate and empower entrepreneurs in every country and community around the world, especially those who face structural barriers or may have never considered launching a startup. Each November, 10 million people in 200 countries take part in tens of thousands of activities, competitions and events. Now in its 19th year, GEW is led by the Global Entrepreneurship Network and powered by the Ewing Marion Kauffman Foundation. Learn more at genglobal.org/gew.

View original content to download multimedia:https://www.prnewswire.com/news-releases/gradient-opens-its-doors-to-tulsa-for-global-entrepreneurship-week-302928245.html

SOURCE Gradient

Continue Reading

Trending