Latest news with #AIAccelerator
Yahoo
26-05-2025
- Business
- Yahoo
AI Accelerator Chips Market Size to Hit USD 362.75 Billion by 2032, at 37.43% CAGR
AI Accelerator Chips Market growth is driven by surging demand for generative AI, edge computing, and energy-efficient chips, with innovations from leaders like Nvidia and Google. Austin, May 26, 2025 (GLOBE NEWSWIRE) -- AI Accelerator Chips Market Size & Growth Insights: According to the SNS Insider Report, 'The AI Accelerator Chips Market size was valued at 28.51 billion in 2024 and is projected to reach USD 362.75 billion by 2032, growing at a CAGR of 37.43% during 2025 to 2032.' Emergence of Semiconductor Lithography Drives the AI Accelerator Chips Market Growing adoption of AI across automotive, healthcare, and data centers, among others, is propelling the growth in the AI accelerator chips market. As with all computer technology things are moving forward, particularly in chip designs and fabrications, which means that performance is improving and power requirements are dropping. One of the key factors contributing to this market growth is the advancement of the semiconductor lithography sector that includes DUV lithography and SAOP lithography, through which it would be possible to produce chips of at least 5nm without the adoption of the extreme ultraviolet (EUV) process. This initiative contributes to the semiconductor industry's self-reliance by minimizing dependence on foreign technologies, while also forming a foundation of the country's industries. US AI accelerator chips market to expand at a CAGR of 34.11% from USD 8.56 billion in 2024 to USD 89.63 billion by 2032 Get a Sample Report of AI Accelerator Chips Market @ Leading Market Players with their Product Listed in this Report are: NVIDIA AMD Intel Google Qualcomm Graphcore Tesla Baidu Huawei Samsung AI Accelerator Chips Market Report Scope: Report Attributes Details Market Size in 2023 USD 28.51 Billion Market Size by 2032 USD 362.75 Billion CAGR CAGR of 37.43% From 2024 to 2032 Report Scope & Coverage Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook Key Segments • By Chip Type (GPU, ASIC, FPGA, CPU, Others)• By Processing Type (Edge, Cloud)• By Industry (Automotive, Consumer Electronics, Healthcare, Manufacturing, Others) Key Drivers • Enhancing Semiconductor Self-Sufficiency Through Advanced Lithography Drive AI Accelerator Chips Growth.• Enhancing Energy Efficiency in Generative AI Creates Growth Opportunities in the Future Chips. For example, SMIC's development of DUV lithography and SAOP has made it possible to produce more advanced chips such as Huawei's Ascend 920 AI accelerator, to overcome export restrictions and stay competitive. These are the types of breakthroughs that can beget resiliency and innovation, and continue to fuel the growth of the AI accelerator chip market while promoting semiconductor independence around the world, even in the face of changing geopolitical and regulatory landscapes. Purchase Single User PDF of AI Accelerator Chips Market Report (20% Discount) @ Key Industry Segmentation By Chip Type In 2024, GPUs led the AI accelerator chips market with a 35% revenue share, attributed to their flexibility and massive parallel processing power. The extensive adoption across a wide range of workloads from deep learning and generative AI to high performance computing and beyond drive CUDA GPUs as the platform of choice for developers and businesses striving for a scalable, high performance AI solution. The ASIC segment is expected to experience rapid growth, with a projected CAGR of 43.42% during the forecast period. The growth is driven by the explosive growth in demand for custom-built, power-efficient chips optimized for specific AI inference workloads, all while delivering better performance, lower latency and lower power consumption, relative to general purpose GPUs. By Processing Type In 2024, the cloud segment dominated the AI accelerator chips market, contributing around 75% of the revenue, as there is an increasing requirement of scalable and high performance computing infrastructure for generative AI and large language models. The role of cloud in accelerating AI adoption in different domains is increasingly critical. The edge segment is rapidly expanding, with a forecasted CAGR of 42.26% from 2025 to 2032. This rise is motivated by greater needs for on-device AI processing with low latency in industries such as automotive, healthcare and consumer electronics for enabling on-the-edge decision-making, which do not rely on cloud connectivity. By Industry In 2024, the consumer electronics segment held about 34% of the AI accelerator chips market share, and is a significant contributor in the market as AI has been integrated into smartphones, smart home devices, wearables, and AR/VR systems, where real-time processing, personalization, and power efficiency are essential to improve user experience. The automotive segment is expected to be the fastest-growing market from 2025 to 2032, with a strong CAGR of 42.61%, on account of the increasing use of AI in level 2/3 autonomous driving, advanced driver-assistance systems (ADAS), and in-vehicle infotainment that demand robust real-time processing. Regional Overview of the AI Accelerator Chips Market in North America, Asia Pacific, Europe, Latin America, and MEA In 2024, North America dominated the AI accelerator chips market with a 44% share, share at an entire level and many investments made across the AI infrastructure development, early adoption of technology, and existence of large tech players in the region Asia Pacific is poised for rapid growth between 2025 and 2032, with a projected CAGR of 39.58%, owing to developments in the field of AI, increasing number of AI start-ups, and growing interest in AI solutions across sectors; within Asia Pacific, China is expected to register the highest growth due to its massive investments in AI infrastructure. Europe is experiencing moderate growth, fueled by the likes of Germany and the UK, but money is going into AI in automotive, manufacturing and healthcare – with cost and infrastructure high up on the challenges still facing Europe. Latin America and the Middle East & Africa show steady but slower growth, due to weaker tech infrastructure and lower volumes investments, while demand for energy, healthcare and infrastructure is rising. Do you have any specific queries or need any customized research on AI Accelerator Chips Market? Submit your inquiry here @ Recent developments In May 2025, Intel launched their Arc Pro GPUs and Gaudi 3 AI accelerators at Computex 2025 with a focus on the AI creators with scale out multi-GPU support and enterprise grade AI inference hardware. In April 2025, Google unveiled its seventh-generation TPU, Ironwood, at Cloud Next 2025, tailored for AI inference with up to 4,614 TFLOPs of capacity and 192GB RAM per chip. The chip with improved Sparse Core technology will be used in Google Cloud's AI Hyper computer later this year. Table of Contents - Major Key Points 1. Introduction 2. Executive Summary 3. Research Methodology 4. Market Dynamics Impact Analysis 5. Statistical Insights and Trends Reporting 5.1 Rising integration in autonomous vehicles and robotics 5.2 Edge AI adoption growth vs. centralized cloud computing 5.3 Integration Rates 5.4 Latency & Throughput Trends 6. Competitive Landscape 7. AI Accelerator Chips Market, by Chip Type 8. AI Accelerator Chips Market, by Processing Type 9. AI Accelerator Chips Market, by Industry 10. Regional Analysis 11. Company Profiles 12. Use Cases and Best Practices 13. Conclusion About Us: SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world. Read Other Related Reports: North America Leads Accelerator Card Market with 46% Share in 2023, Driven by R&D Investments and Demand for HPC & Cloud Advancements Asia-Pacific Leads Global AI Chip Market with 33% Share in 2023, Driven by Surging Demand Across Key Sectors and Nations Like India, China, and Japan Edge AI Hardware Market Sees APAC Surge as AI, Robotics, and IoT Transform Healthcare and Industrial Sectors U.S. Edge AI Chips Market Set to Surge from $6.42B in 2024 to $54.73B by 2032, Driven by Soaring Demand for On-Device Intelligence AI-Powered Video Surveillance Market in the U.S. Expected to Reach $1.03 Billion, Driven by 24.5% CAGR Growth CONTACT: Contact Us: Jagney Dave - Vice President of Client Engagement Phone: +1-315 636 4242 | +44- 20 3290 5010 (UK)
Forbes
14-05-2025
- Business
- Forbes
How AI Reshapes Internships And Entry-Level Jobs
For students, internship experience is everything when it comes to their education and being ready for their careers. There's a lot of talk about AI taking jobs away from people, and before you say it's not happening, turns out it is. How widespread this becomes is still up for debate, but it's just a matter of how long it takes and what jobs are affected. To find out more, I wanted to talk to a good friend of mine. Dr. Eugene Kutcher III (I call him Gene) is the Dean of the Norm Brodsky College of Business at Rider University. Gene and I have been working on a project that touches on AI, internships, and jobs, so I wanted to sit down with him, ask a few questions, and see where it went. Joe: How do you see internships being valuable within an organization? Gene: I'm going to start with how internships are valuable for us on the education side of things. At Rider, we call it engaged learning. We have a requirement that every student, by the time they graduate, they engage in a number of what we call 'high-impact practices.' Things that evidence has told us connect students more with their learning, so it's a more personal experience for them. In a business school, front and center, and priority is internships because one of our key mandates is to get them jobs when they graduate and have them be comfortable, competent, and have some confidence when they go into those positions. For the students, it means everything when it comes to their education and being ready for their careers. Joe: Now that AI is doing more entry-level jobs, have you seen a change in the number of internships that are available or a shift in attitude about internships? Gene: I'm going to take a step back a little bit. Even through COVID-19, when everything went remote for students and they were suddenly getting internships that were completely virtual, we realized that things are going to be a little bit different from this point forward. Some of those internships have never really come back. And yes, a lot of those internships were remote, but some of them disappeared altogether. We know some of these opportunities were there before and are not there now, and that goes for internships for our current students, as well as entry-level jobs for our graduates. We have to work a little harder and prepare them a little bit more. But also, we have to figure out what critical thinking looks like for those positions that are requiring human beings to work with AI. It's refocusing a little bit about what those skills are. Joe: This is where the AI Accelerator program comes into play, right? Let's get companies that are already connected with Rider in some way more deeply engaged. We can create this place at Rider where an organization can say, 'I've got this idea how we might be able to apply AI in a brand new way, but we have no idea what to do about it." Rider has great students and faculty, and we have alumni that run an entire organization around doing this stuff with enterprise customers. They can mentor the students on the project that company is looking to accomplish. This isn't the standard internship at all now. It's literally a big four consulting company—a proof of concept whereby we can create an experiential learning experience the way you described. Rider is not only helping figure out this technology journey, but also allowing students to experience it. Gene: And it cuts right to the chase. Students would have the problem ready to go. A lot of times with internships, so much of it is about a program, and a lot of firms might not have anything ready for interns to do yet. We see that a lot—and that's always been the case, even when I was an intern back in the day. It's that, 'OK, now we have interns, now what do we do with them?' Where in this case, it's almost like, 'We've identified something we need, and now let's bring the students on board.' Joe: That's where traditional internships break down, is people say, 'We need an intern because we've always had an intern.' And then they get there and they say, 'I don't know what we do with these people.' Gene: Right. And it matches what they need. It's a win-win. Students realize they need to pick up some skills with AI and they're thirsting for a story to tell about what they've learned on the job. Because one thing that we try to instill in them is that today it's AI, but no matter what, you could pick them up out of today and drop them in a hundred years from now, and adaptability is going to have just to be the one thing that they always are ready for; to quickly learn on the spot with whatever it is that's needed right now. The idea that you need to be ready for something, you need not be comfortable with it. You have to just quickly figure out what's needed in the moment and figure out what your resources are, who's on your team that you're working with, who you can get mentoring from, what the problem is that needs a solution, and you don't have any time to waste. You have to figure it out as you go. If you want to hear more, check out the article on my website, A Deep Dive into the Rider AI Assistant Accelerator Program. Also, check out my new book, The AI Ecosystems Revolution, available right now on Amazon, Barnes and Noble, or your local bookseller.
Associated Press
13-05-2025
- Business
- Associated Press
Kristin Russell Joins CBTS as CEO to Lead Next Phase of Transformation and Growth
Seasoned industry leader appointed to accelerate growth through innovation, strategic expansion, and operational excellence Cincinnati, Ohio--(Newsfile Corp. - May 13, 2025) - CBTS, a leading provider of IT services and solutions to Fortune 1000 organizations across North America, is pleased to welcome Kristin Russell as its new Chief Executive Officer. Russell is a seasoned visionary leader with over 20 years of experience driving transformative growth at leading organizations in the technology sector. Most recently, she served as the President of Arrow Electronics' Global Enterprise Computing Solutions (ECS) division, a $20 billion business unit with nearly 5,000 employees across 34 countries. Before joining Arrow, Russell held leadership roles spanning Sales, IT, Technical Services, and General Management at Deloitte Consulting, Oracle, and Sun Microsystems. In addition, she served as the Secretary of Technology and Chief Information Officer for the State of Colorado. Russell's leadership has earned her numerous industry accolades, including the GTDC Innovator Award, Women We Admire's '100 Women in Technology', the Colorado Technology Association Lifetime Achievement Award, and CIO of the Year by the Denver Business Journal. CRN and The Channel Company also recognized her as a Top 25 Innovator, Top 100 Channel Leader, and Top Inclusive Channel Leader. 'I am honored to join CBTS at such an exciting time in its transformation journey. The company is well positioned for accelerated growth by expanding into new markets and launching innovative new solutions, such as the recent additions to their AI Accelerator portfolio,' said Russell. 'CBTS has a strong track record of delivering transformative outcomes to its impressive roster of clients. I'm excited about the opportunities ahead and look forward to helping lead this exceptional organization into its next phase of growth and expansion.' 'The Board of Directors was looking for a dynamic, visionary leader with the experience and strategic insight to propel CBTS into its next chapter,' said Abid Neemuchwala, Board Chairman. 'Kristin stood out as the ideal choice. In addition to her impressive track record of developing bold, market-driven strategies that deliver scalable growth, she is known for building high-performing, collaborative teams and cultivating cultures of innovation and accountability. We're thrilled to welcome her to CBTS and confident she will inspire and lead our 2,400+ talented technology professionals to new heights.' [ This image cannot be displayed. Please visit the source: ] Kristin Russell, CEO, CBTS. To view an enhanced version of this graphic, please visit: CBTS is wholly owned by TowerBrook Capital Partners. TowerBrook is committed to enabling CBTS' growth plans through investments in both innovative technologies as well as strategic M&A opportunities. About CBTS CBTS (#43 CRN Solution Provider 500) serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions, including AI-enabled Services, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Digital Workplace, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit MEDIA CONTACT: Roger Hamshaw Director, Marketing 416-312-6244 [email protected] To view the source version of this press release, please visit
Yahoo
09-04-2025
- Business
- Yahoo
This Week In AI Chips - LPL Financial Enhances AI Strategy With Key Executive Appointment
LPL Financial Holdings Inc. has appointed Vaughn Harvey as the executive vice president and chief data and artificial intelligence (AI) officer, marking a significant move in its AI strategy. With over 25 years of experience in AI-driven digital transformations, Harvey will spearhead LPL's data and AI initiatives, enhancing digital transformation across the organization. This appointment comes as LPL Financial aims to advance its offerings in artificial intelligence through programs like AI Advisor Solutions and the AI Accelerator, designed to integrate AI into financial advisory practices effectively. These efforts underscore LPL's commitment to utilizing AI to improve client experiences and support financial advisors in delivering sophisticated and personalized financial advice. Elsewhere in the market, was a notable mover up 10.5% and ending the day at HK$43.25. Meanwhile, trailed, down 9.8% to finish the session at NT$115.00, not far from its 52-week low. Seize the potential $1 billion revenue boost in ASE's ATM segment by 2025. Click to explore ASE Technology's strategic edge in advanced packaging and testing innovation. On a related note, don't miss our Market Insights piece which analyzes the disruptive impact of DeepSeek's AI chip advancements—get in fast before the market shifts! ended the day at $96.30 down 1.4%. finished trading at $78.21 down 6.5%, not far from its 52-week low. closed at $18.13 down 7.4%, near its 52-week low. Navigate through the entire inventory of 44 AI Chip Stocks including LONGi Green Energy Technology, NXP Semiconductors and Monolithic Power Systems here. Curious About Other Options? Uncover 9 companies that survived and thrived after COVID and have the right ingredients to survive Trump's tariffs. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sources: Simply Wall St "LPL Financial Welcomes Vaughn Harvey as Chief Data and AI Officer" from LPL Financial Holdings, Inc. on GlobeNewswire (published 08 April 2025) Companies discussed in this article include SEHK:981 NasdaqGS:NVDA NasdaqGS:AMD NasdaqGS:INTC and TWSE:3711. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Sign in to access your portfolio
Yahoo
01-04-2025
- Business
- Yahoo
Arrow Electronics Introduces Global AI Accelerator Program
The structured program helps channel partners assess where to start their AI journey and enhances their AI competitiveness in the evolving digital landscape. CENTENNIAL, Colo., April 01, 2025--(BUSINESS WIRE)--Global technology solutions provider Arrow Electronics, Inc. (NYSE:ARW) is introducing a worldwide AI Accelerator Program to help channel partners kickstart their AI journey. The comprehensive program provides the skills, use cases and knowledge needed to maximize the potential of artificial intelligence (AI) in their businesses and for their end customers. Channel partners start by taking a tailored assessment to gauge their AI proficiency and identify areas of opportunity. Arrow then provides a customized path to enhance AI adoption and application, including upskilling, implementation and innovation using three key components. Learn – Arrow's AI Academy equips channel partners with the necessary AI training, skills and tools needed to embed AI across their organization and to inform confident decisions. The academy provides tailored content, hands-on sessions, and practical use cases to educate channel partners at any stage of their AI journey. Use – channel partners can facilitate practical AI application in their business operations by using a suite of AI tools powered by ArrowSphere AI. These tools help streamline tasks and are accessed through ArrowSphere Assistant. They also are taught how to create and operate custom AI assistants designed for various business functions that inform the full sales life cycle – from marketing to enablement to customer support. Create – the final component of the program enables channel partners to develop, deploy, and implement AI projects effectively using Arrow's AI Factory. Support is provided by Arrow's technical, pre-sales and engineering teams and is done through Arrow's global network of experience centers. Channel partners can create and tailor solutions to help ensure adaptable AI use cases suited to each channel partner's business. Channel partners participating in the program will benefit from enhanced AI knowledge and proficiency, skill enhancement, streamlined business operations, improved customer engagement, and access to expert support to create tailored AI solutions. All are intended to drive better and faster business outcomes. More information about Arrow's AI Accelerator program for channel partners can be found here. About Arrow Electronics Arrow Electronics (NYSE:ARW) sources and engineers technology solutions for thousands of leading manufacturers and service providers. With global 2024 sales of $28 billion, Arrow's portfolio enables technology across major industries and markets. Learn more at View source version on Contacts Media contact John Houriganjhourigan@ Sign in to access your portfolio
