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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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DCCM Acquires Dynamic Solutions, LLC Expanding Water Resources Expertise

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DCCM has acquired Dynamic Solutions, LLC, a consulting firm recognized for advanced water resources, hydraulic, and hydrodynamic modeling. Dynamic Solutions expands DCCM’s technical capabilities in water and environmental modeling to better serve complex infrastructure and water-related client needs. Dynamic Solutions, founded in 1996 and offering services including watershed/hydrology studies, sediment transport, water quality, and ecological modeling, will continue operating with its existing leadership and team.

HOUSTON, May 4, 2026 /PRNewswire-PRWeb/ — DCCM, a national provider of design, consulting, and program and construction management professional services, is pleased to announce the acquisition of Dynamic Solutions, LLC, a specialized consulting firm known for advanced water resources, hydraulic, and hydrodynamic modeling.

“This acquisition expands DCCM’s technical capabilities in advanced water and environmental modeling while strengthening our ability to serve clients facing complex infrastructure and water-related challenges,” said James F. (Jim) Thompson, PE, Chairman and CEO of DCCM.

Founded in 1996, Dynamic Solutions is nationally recognized for its expertise in hydraulic and hydrodynamic modeling, watershed and hydrology studies, sediment transport, water quality, and ecological modeling. The firm supports clients across federal, state, and local markets, as well as select technical advisory engagements, delivering analytical solutions for complex water and environmental challenges.

Dynamic Solutions operates from offices in Knoxville, Tennessee; Baton Rouge, Louisiana; Columbus, Mississippi; and Hamilton, Ohio, supporting projects nationwide.

“This acquisition expands DCCM’s technical capabilities in advanced water and environmental modeling while strengthening our ability to serve clients facing complex infrastructure and water-related challenges,” said James F. (Jim) Thompson, PE, Chairman and CEO of DCCM. “Dynamic Solutions brings a depth of expertise and a reputation for technical excellence that aligns well with our long-term growth strategy.”

Dynamic Solutions will continue to operate with its existing leadership and team, maintaining its specialized service offerings and longstanding client relationships.

“Joining DCCM allows us to build on the outstanding work our team is known for while gaining access to broader resources and a national platform,” said Julie Wallen of Dynamic Solutions. “We look forward to continuing to deliver the same high level of service to our clients as part of the DCCM organization.”

About Dynamic Solutions, LLC

Dynamic Solutions, LLC is a consulting firm specializing in hydraulic and hydrodynamic modeling, watershed and hydrology studies, sediment transport, water quality, and ecological modeling. Founded in 1996, the firm serves public sector and institutional clients across the United States.

About DCCM

DCCM is a provider of design, consulting, and program and construction management professional services focused on infrastructure across the public and private sectors. Through a national platform, DCCM serves a diverse range of end markets.

DCCM is a portfolio company of Court Square Capital Partners.

For more information, please visit www.dccm.com.

Media Contact

Jessica Steglich, DCCM, 1 7138749162, marketing@dccm.com, dccm.com

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SOURCE DCCM

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Modine to Participate in Upcoming Oppenheimer Virtual Conference on May 5, 2026

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RACINE, Wis., May 4, 2026 /PRNewswire/ — Modine (NYSE: MOD), a diversified global leader in thermal management technology and solutions, announced today that it will participate in the Oppenheimer 21st Annual Industrial Growth Conference on Tuesday, May 5, 2026.

Neil D. Brinker, Modine President and Chief Executive Officer, and Michael B. (Mick) Lucareli, Executive Vice President and Chief Financial Officer, will participate in a virtual fireside chat during the conference on Tuesday, May 5, 2026, at 1:30 p.m. Eastern time (12:30 p.m. Central Time).

Live webcasts of the event will be available in the Investor Relations section of Modine’s website www.modine.com. Recordings of the events will be available for 365 days following the webcast.

About Modine
For more than 100 years, Modine has solved the toughest thermal management challenges for mission-critical applications. Our purpose of Engineering a Cleaner, Healthier World™ means we are always evolving our portfolio of technologies to provide the latest heating, cooling, and ventilation solutions. Through the hard work of more than 11,000 employees worldwide, our Climate Solutions, Data Centers, and Performance Technologies segments advance our purpose with systems that improve air quality, reduce energy and water consumption, lower harmful emissions, and enable the transition to a more sustainable future. Modine is a global company headquartered in Racine, Wisconsin (U.S.), with operations in North America, South America, Europe, and Asia. For more information about Modine, visit modine.com.

Investor Contact
Kathleen Powers
(262) 636-1687
kathleen.t.powers@modine.com

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Blaize and Winmate Sign Strategic Partnership Agreement to Bring AI to Rugged Systems for Defense and Critical Infrastructure

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Joint solutions combine Blaize’s energy-efficient and industrial-grade AI chips with Winmate’s rugged platforms – including drones, handhelds, vehicle-mounted units, and embedded edge devices used by defense, border security, maritime, and healthcare operators.

TAIPEI and EL DORADO HILLS, Calif., May 4, 2026 /PRNewswire/ — Blaize Holdings, Inc. (Nasdaq: BZAI, Nasdaq: BZAIW) (“Blaize,” the “Company,” “we,” “our,” or “us”), and Winmate Inc., a publicly traded company in Taiwan, today announced they have signed a Strategic Partnership Agreement (“Agreement”) with an intent to close approximately $15 million in business during the first year. The two companies will integrate Blaize’s AI chips into Winmate’s rugged systems, including drones, handhelds, vehicle-mounted units, and embedded devices that have to keep working in the field, often in places where regular hardware can’t survive.

The companies expect the Agreement to be the start of a much larger, multi-year relationship.

Why this partnership matters

Most AI today runs in large data centers rather than at the edge, where decisions must be made in real time. This model is often impractical for soldiers at remote posts, Coast Guard crew at sea, or medics in field clinics. They often don’t have a reliable network connection, and even when they do, they can’t afford to wait for an application to respond from halfway across the globe.

That’s the gap Blaize and Winmate intend to address through this partnership. Blaize’s chips were designed to industrial grade specifications and run AI directly on the device, with no cloud dependency. Winmate’s systems are purpose-built to perform in extreme environments, including heat, cold, dust, vibration, and rough handling. Together, they deliver real-time AI capabilities exactly where it’s needed, whether in drones, field units, the patrol vehicles, or diagnostic devices.

A fast-growing market

Demand for on-device AI is accelerating. According to BCC Research[1], the global edge AI market is projected to grow from $11.8 billion in 2025 to $56.8 billion by 2030, a 36.9% compound annual growth rate. Defense agencies, governments, hospitals, ports, and critical infrastructure operators all demand AI that can run securely on their equipment, without sending sensitive data over public networks.

From the leaders

“Our customers can’t wait, and they often can’t rely on the cloud. They need AI that runs where the work happens. Winmate makes some of the most capable rugged systems in the industry, and our chips are designed to run AI inside exactly those kinds of devices. This partnership turns a years-long vision into a practical, deployable answer for defense and critical infrastructure operators,” said Dinakar Munagala, CEO of Blaize, Inc.

“Our platforms are deployed on naval vessels, in border outposts, on industrial sites, and in disaster zones – environments where most hardware fails. With Blaize, we can now deliver those same systems with on-device AI built in, giving customers real-time intelligence wherever they operate,” said Ken Lu, Chairman and CEO of Winmate Inc.

Target applications

Border security and surveillance: Real-time threat detection and perimeter monitoringMobile command and control: On-site intelligence and situational awareness for field teamsDrones and unmanned systems: Autonomous navigation and mission execution for UAVs and ground vehiclesCritical infrastructure: Continuous monitoring and predictive analytics for power, ports, and transportationMaritime domain awareness: Vessel tracking and anomaly detection at seaField healthcare: Portable diagnostics and decision support in remote and disaster environments

Deal at a glance

First-year revenue: the parties intend to work in good faith to close approximately $15 million in business, expected to scale meaningfully in subsequent yearsTerm: Three-year initial term, with automatic renewalNext steps: Joint engineering, sales, and marketing execution to bring integrated systems to market, with additional opportunities to be added through follow-on programs

[1] BCC Research, “Global Edge AI Market,” October 2025

About Blaize, Inc.

Blaize delivers a programmable AI platform, purpose-built for AI inference workloads in real-world environments. Its Hybrid AI architecture combines the Blaize GSP (Graph Streaming Processor) with GPU-based infrastructure, enabling AI inference workloads to run across edge, cloud, and data center. Blaize solutions support computer vision, multimodal AI, and sensor-driven applications across smart cities, industrial automation, telecommunications, retail, logistics, and defense. Blaize is headquartered in El Dorado Hills, California, with a global presence across North America, Europe, the Middle East, and Asia. Visit www.blaize.com or follow us on LinkedIn @blaizeinc.

About Winmate Inc.

Winmate Inc. is a publicly traded global leader in rugged computing systems, delivering industrial-grade platforms – including handhelds, tablets, vehicle-mounted units, panel PCs, and embedded modules – for demanding environments across defense, transportation, energy, healthcare, and industrial markets.

Cautionary Statement Regarding Forward Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the U.S. Securities Act of 1933, as amended (the “Securities Act”), and Section 21E of the U.S. Securities Exchange Act of 1934, as amended (the “Exchange Act”) that are based on beliefs and assumptions and on information currently available to Blaize, including expectations and scope of customer contracts, including the Strategic Partnership Agreement with Winmate, the potential value and the timing of revenue pursuant to such contracts, preliminary estimates of results of operations and guidance on results for future periods, the industry in which Blaize operates, market opportunities, and product offerings. In some cases, you can identify forward-looking statements by the following words: “may,” “will,” “could,” “would,” “should,” “expect,” “intend,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “project,” “potential,” “continue,” “ongoing,” “target,” “seek” or the negative or plural of these words, or other similar expressions that are predictions or indicate future events or prospects, although not all forward-looking statements contain these words. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this document, including but not limited to those factors discussed under the heading “Risk Factors” in our Annual Report on Form 10-K filed with the Securities and Exchange Commission (“SEC”) on March 24, 2026, and other documents filed by Blaize from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Blaize assumes no obligation to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise, except as required by law, including the securities laws of the United States and the rules and regulations of the SEC. Blaize does not give any assurance that it will achieve its expectations.

Blaize Contact

press@blaize.com
www.blaize.com 

Investors

ir@blaize.com
www.blaize.com 

Winmate Inc.

Liu, Chih-Yuan
Tel: +886-2-8511-0288
Email: spokesman1@winmate.com.tw
https://www.winmate.com/ 

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