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Artificial Intelligence (AI) Chips Market size is set to grow by USD 389.25 billion from 2024-2028, Increasing adoption of AI chips in data centers to boost the market growth, Technavio

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NEW YORK, July 9, 2024 /PRNewswire/ — The global artificial intelligence (AI) chips market is estimated to grow by USD 389.25 billion from 2024-2028, at a CAGR of over 68.13%, according to Technavio. Increasing adoption of AI chips in data centers and the convergence of AI and IoT are driving market growth. However, a dearth of technically skilled workers poses a challenge. Key players include Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., and NVIDIA Corp., the leader in the AI chip market.

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Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Product (ASICs, GPUs, CPUs, and FPGAs), End-user (Media and advertising, BFSI, IT and telecommunication, and Others), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

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

Key companies profiled

Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc.

Key Market Trends Fueling Growth

The Internet of Things (IoT) market is experiencing significant growth due to the numerous advantages it offers in various industries, including aerospace and defense, automotive, consumer electronics, healthcare, and others. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and more, are increasingly integrating Human-Machine Interface (HMI) technologies. This integration leads to the deployment of Artificial Intelligence (AI) chips in IoT devices, enabling power-efficient data processing and machine learning computation. The demand for IoT devices is escalating due to the focus on smart city projects and automation in homes and enterprises. Market players are collaborating to develop software and hardware solutions to integrate AI technology in IoT devices, driving the growth of the AI chips market in the forecast period. 

Artificial Intelligence (AI) chips are making waves in various industries by powering innovative applications in personalized health and treatment devices for the elderly population. Machine Learning (ML) and Deep Learning (DL) are driving this trend, with computer vision technologies like pose detection and behavioral pattern recognition becoming increasingly important. Structured data from IoT devices, Industry 4.0 manufacturing, wearable devices, smart homes, and connected cars are fueling this growth. AI chips are being integrated into processors, GPUs, FPGAs, CPUs, ASICs, DSPs, microcontrollers, and programmable logic chips to handle the demands of AI applications. These chips enable high-quality images, animations, and videos in mobile phones, embedded systems, personal computers, gaming consoles, and more. The theoretical and algorithmic basis of AI is being transformed by automatic analysis, extraction, and estimation of single images and sequences of images. 

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Market Challenges

The AI chips market is witnessing significant growth due to the potential revenue benefits that companies can derive from investing in artificial intelligence. However, the implementation of AI comes with challenges, particularly the shortage of skilled workers with expertise in AI technology. This talent gap poses a major obstacle for enterprises seeking to integrate AI into their operations. The high R&D costs associated with AI and the lack of available talent are hindering the growth of the market. To overcome this hurdle, organizations must prioritize talent acquisition and retention, recruiting professionals with strong technical backgrounds and investing in skill development programs. The shortage of AI engineers and technicians is hindering the deployment of AI in enterprises, thereby limiting market growth during the forecast period.The Artificial Intelligence (AI) Chips Market is experiencing significant growth due to the increasing demand for energy-efficient solutions for AI applications in various industries such as healthcare, retail, finance, automotive, and IoT devices. Companies like Nvidia and Huawei are leading the market with their AI chip lines, including the Nvidia A100 chip and Huawei Ascend 910B chipset. However, challenges such as energy efficiency, latency, and ethical concerns remain. Centralized cloud servers from Microsoft Azure, Amazon Web Services, Google Cloud, and Oracle Cloud Infrastructure offer high computing power but face challenges with real-time applications and big data processing. Edge computing and Edge devices are gaining popularity for their ability to process data locally, reducing latency and improving performance. Patent filing and system failure are also concerns for companies investing in AI chips. Specific integrated circuits like CPU, FPGA, GPU, and system on chip, multichip module, and high computing parallel computing are essential for AI data centers, cognitive computing, machine intelligence, image recognition, and other AI applications. Ethical concerns around AI use in mobile applications, health monitoring, and health information access are becoming increasingly important. The market for AI chips is expected to continue growing, with continued innovation and investment in this area.

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Segment Overview 

This artificial intelligence (AI) chips market report extensively covers market segmentation by

Product 1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user 2.1 Media and advertising2.2 BFSI2.3 IT and Telecommunication2.4 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 ASICs-  Artificial Intelligence (AI) chips, specifically Application-Specific Integrated Circuits (ASICs), are driving innovation in the tech industry. ASICs are customized, non-configurable chips that offer faster performance than GPUs and FPGAs for parallel algorithms. Their use in cloud-based data centers is increasing, as ASIC-based AI chips, like Google’s Tensor Processing Unit (TPU), provide superior speed and efficiency. TPUs, a network of software and hardware, are designed for deep neural networks and can learn specific tasks with large data sets. Data centers are integrating these ASICs into servers to manage data effectively. TPUs have an instruction set that allows TensorFlow programs to be modified, enabling new algorithms to be developed. As an open-source machine learning library, TensorFlow’s data flow graph structure simplifies complex computations, making ASICs a preferred choice for AI applications. The market for ASIC-based AI chips is expected to grow significantly due to their performance advantages.

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

Research Analysis

Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing adoption of AI technologies in various industries. Deep learning and machine learning algorithms require specialized hardware components, leading to the development of AI chips. These chips are designed to accelerate AI workloads and improve the performance of AI applications. AI chips include specific integrated circuits like CPUs, GPUs, FPGAs, and system on chips. Quantum computing is also emerging as a potential technology to enhance AI capabilities. The market for AI chips is expanding across sectors such as healthcare, retail, finance, automotive, autonomous vehicles, IoT devices, and more. However, ethical concerns surrounding AI and its impact on jobs are raising questions about the future of this technology. High bandwidth memory and Trainium2 chip are some of the advanced hardware components driving the market. The market is segmented into cloud and edge computing, with the edge computing segment expected to grow due to the increasing demand for real-time AI processing.

Market Research Overview

Artificial Intelligence (AI) Chips Market: An Overview The AI Chips Market is witnessing significant growth due to the increasing demand for advanced AI technologies, such as deep learning and machine learning, in various industries. AI chips are specialized hardware components designed to accelerate AI algorithms and technologies, including neural networks, quantum computing, and cognitive computing. These chips are essential for powering AI applications in robotics, computer vision, natural language processing, and generative AI. The market for AI chips includes a range of hardware components, such as CPUs, GPUs, FPGAs, and system on chips, each with unique advantages in terms of energy efficiency, parallel computing, and high computing power. Major applications of AI chips include data processing in centralized cloud servers and edge devices, real-time applications, big data analysis, and AI applications in healthcare, retail, finance, automotive, and IoT devices. Ethical concerns surrounding AI technologies and potential system failures or malfunctioning are also driving the development of more energy-efficient and reliable AI chips. Some of the emerging trends in the AI Chips Market include the development of AI chip lines, such as Nvidia’s A100 chip and Ascend 910B chipset, and H200 chipset, as well as the integration of high bandwidth memory and quantum computing technologies. The market is also witnessing the growth of edge computing and the increasing use of AI in industries such as manufacturing, wearable devices, smart homes, and connected cars. In conclusion, the AI Chips Market is a dynamic and rapidly evolving field, driven by the increasing demand for AI technologies in various industries and the need for more energy-efficient and reliable hardware components. The market is expected to continue growing in the coming years, with new innovations and applications emerging in areas such as healthcare, finance, and autonomous vehicles.

Table of Contents:

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

ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth 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/

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SOURCE Technavio

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Innoscience’s current products are not affected by both rulings of the Munich Regional Court

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June 19, 2026

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MUNICH, June 18, 2026 /PRNewswire/ — Innoscience today announced that the Munich Regional Court has just issued a pair of rulings, from which it could be confirmed that Innoscience’s currently marketed gallium nitride (“GaN”) power device products fall outside the scope of Infineon’s asserted German patents and may be commercialized in Germany without restriction.

These rulings are fully consistent with the final determination issued last month by the U.S. International Trade Commission (“ITC”), which found that Innoscience’s current products do not infringe Infineon’s asserted U.S. patent relating to packaging design (U.S. Patent No. 9,899,481). The Munich case concerns the German counterparts of that same patent family. In line with the ITC’s findings, the Munich Court found infringement only with respect to a limited set of legacy products—certain packaged 650–700V transistors—that had already been discontinued. Therefore, any injunction granted would not apply to Innoscience’s current product portfolio. As a result, there is no impact on Innoscience’s ongoing operations or its customers’ use of its products in Germany.

The decisions mark another significant milestone in Innoscience’s string of favorable outcomes across major jurisdictions. They follow the company’s recent success in China, where it secured an injunction and damages award against Infineon, as well as its decisive victory at the ITC in the United States last month. Together, these rulings reaffirm the legality of Innoscience’s current product portfolio and its ability to operate freely in key global markets.

While proceedings in Germany remain ongoing, including Innoscience’s invalidity challenges to the asserted German patent, the growing body of decisions across China, the United States, and Germany underscores that the global litigation campaign initiated by Infineon has not altered the competitive position of Innoscience’s core products. To the contrary, independent judicial findings across multiple jurisdictions have consistently validated the robustness of Innoscience’s technology and reinforced market confidence in the company’s product compliance and innovation capabilities.

Innoscience remains committed to advancing its technology leadership and expanding its global footprint, delivering cutting-edge GaN solutions to customers worldwide in a fair and competitive marketplace.

View original content:https://www.prnewswire.com/news-releases/innosciences-current-products-are-not-affected-by-both-rulings-of-the-munich-regional-court-302805093.html

SOURCE InnoScience

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NetZoom Announces Data Center Infrastructure Management Solution for Higher Education Institutions

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June 19, 2026

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NetZoom® is a robust DCIM for managing College and University data centers, campus infrastructure and smart classrooms

CHICAGO, June 18, 2026 /PRNewswire-PRWeb/ — NetZoom offers an intuitive Data Center Infrastructure Management (DCIM) solution designed to help colleges and universities document, visualize, and manage the infrastructure supporting campus IT services, research computing, smart classrooms, and distributed data center environments.

NetZoom helps colleges and universities establish a reliable source of truth, improve operational planning, and support critical infrastructure without adding unnecessary burden to IT and facilities teams.

Higher education institutions often manage infrastructure spread across data centers, MDF/IDF closets, labs, classrooms, and multiple campus locations while supporting digital learning, campus connectivity, research workloads, and administrative systems. These environments require accurate asset management, reliable connectivity documentation, capacity planning, and operational visibility across IT and facilities.

Common infrastructure management challenges in higher education include:

Lack of a single source of truth for asset managementDistributed assets across the entire campusLimited space, power, cooling, and budget resources as digital learning, research computing, and campus IT services continue to expandMaintaining uptime and resiliency for critical academic, research, and administrative systems

“Higher education institutions are managing increasingly complex data center environments that support students, faculty, research, and campus-wide digital services,” said Uriel Campos, General Manager at NetZoom, Inc. “To manage these environments effectively, teams need clear visibility into their assets, connectivity, capacity, power, and cooling. NetZoom helps colleges and universities establish a reliable source of truth, improve operational planning, and support critical infrastructure without adding unnecessary burden to IT and facilities teams.”

NetZoom also supports IT and facilities teams by centralizing asset, connectivity, capacity, power, cooling, and change management data in a visual DCIM platform. By bringing these functions together, institutions can improve resource planning, reduce reliance on manual tracking, identify capacity constraints, and better understand the impact of infrastructure changes.

NetZoom’s DCIM solution offers significant benefits to higher education institutions including:

Campus-wide infrastructure visibility: Helps IT and facilities teams maintain a centralized view of assets across data centers, MDF/IDF closets, labs, classrooms, and distributed campus locations.Improved planning for space, power, and cooling: Provides visibility into capacity utilization so institutions can better support growing digital learning, research computing, and administrative systems.Reduced reliance on manual tracking: Centralizes asset, connectivity, capacity, and change management data to help reduce spreadsheet dependency, duplicate records, and inconsistent documentation.Operational support for limited IT resources: Helps streamline day-to-day infrastructure management, giving campus teams better access to the information needed to plan changes, troubleshoot issues, and manage equipment lifecycles.Scalable support for evolving campus technology: Allows institutions to start with core DCIM functions and expand into areas such as monitoring, reporting, service management, integrations, and advanced capacity planning as their needs grow.

Availability

NetZoom DCIM for Higher Education is immediately available in both SaaS and On-Premises deployments. For demonstrations, POCs, pricing and deployment options, contact NetZoom at 630-281-6464, email Sales@NetZoom.com or visit NetZoom.com

About NetZoom

Founded in 1995, NetZoom, Inc. is an Illinois corporation with headquarters in the Chicago area. NetZoom offers a flexible and powerful application that integrates with on-premise, virtual and cloud resources and many third-party tools like ServiceNow® to create a complete DCIM solution for data center professionals worldwide to effectively model, manage, monitor and maximize IT and Facility infrastructure.

For more information, visit NetZoom.com

NetZoom is a registered trademark of NetZoom, Inc. All other marks and names are trademarks of their respective companies.

Media Contact

Marketing Department, NetZoom, Inc., 1 630-281-6464, Marketing@NetZoom.com, https://NetZoom.com

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NOVVA Group acquires 120 MWp Philippines solar project, anchoring its AI-era power platform in Southeast Asia

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June 19, 2026

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HONG KONG, June 19, 2026 /PRNewswire/ — NOVVA Group (“Novva”), a global AI-enabling energy infrastructure platform, announced today that it has signed a definitive agreement to acquire 100% of San Jose Solar Power Plant (“SJSP”), a utility-scale solar PV project in Bukidnon, Mindanao, from Mabuhay Power Holdings Corporation. The acquisition marks Novva’s first investment in the Philippines and a critical milestone in its strategy to build a scalable, bankable power platform across Southeast Asia.

SJSP is a 120 MWp greenfield solar project located in Barangay San Jose, in the Municipality of Quezon, Bukidnon. Once operational, it is expected to generate over 200 GWh of clean electricity per year. Construction is scheduled to begin in Q1 2027, with commercial operation targeted for 2028.

The transaction comes amid an unprecedented surge in Asian power demand, driven by the rapid expansion of artificial intelligence, cloud computing, and digital infrastructure. With energy availability emerging as the primary constraint on sustained economic growth, resilient power infrastructure has become vital. The project also advances the Philippines’ goal of a 35% renewable energy share by 2030, channelling clean capacity into one of Southeast Asia’s fastest-growing digital economies.

Steven Liu, Founder and CEO of Novva, said: “Power availability has become one of the defining constraints on future growth. With SJSP, we are securing the strategic infrastructure needed to support the next wave of industrial and digital development. By combining disciplined execution with long-term partnerships, Novva is building a reliable clean energy foundation to power the future of Southeast Asia.”

SJSP will integrate directly into Novva’s regional platform, which combines renewable generation, flexible power solutions, energy storage, grid connectivity and infrastructure financing capabilities. Novva remains committed to scaling clean energy capacity to sustain the next generation of hyperscale data centres and digital economies.

About Novva
Novva (NOVVA Group Pte. Ltd.) is a global AI-enabling energy infrastructure platform that originates, finances, builds, and operates bankable clean energy assets across Southeast Asia and Latin America. As digital transformation drives an unprecedented increase in global electricity demand, Novva scales its clean power capabilities to build the reliable energy foundation for the AI era and beyond.
www.novvaglobal.com

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