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Artificial Intelligence (AI) Chips Market to Grow by USD 902.65 Billion by 2029, Boosted by Focus on AI Chips for Smartphones, Report on AI Impact on Market Trends- Technavio

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NEW YORK, Feb. 3, 2025 /PRNewswire/ — Report on how AI is redefining market landscape – The global artificial intelligence (AI) chips market size is estimated to grow by USD 902.65 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of over 81.2%  during the forecast period. Increased focus on developing ai chips for smartphones is driving market growth, with a trend towards convergence of AI and IoT. However, dearth of technically skilled workers for ai chips development  poses a challenge. Key market players include Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, 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..

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Artificial Intelligence (AI) Chips Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 81.2%

Market growth 2025-2029

USD 902649.3 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

61.7

Regional analysis

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

Performing market contribution

North America at 42%

Key countries

US, Canada, China, UK, Germany, France, Japan, Italy, India, and Brazil

Key companies profiled

Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, 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.

Market Driver

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive with deep learning and machine learning algorithms. The demand for AI technologies is driving the growth of AI chips market. Companies like Advanced Micro Devices, Nvidia, and Huawei are leading the way with AI chip lines, such as Trainium2 and A100 chip, designed for high computing and parallel processing. Quantum computing and generative AI are the next frontiers. Hardware components like CPUs, GPUs, FPGAs, and ASICs are essential for AI technologies. Energy efficiency is a key consideration, with AI chipmakers focusing on highbandwidth memory and system on chip designs. Cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, while edge computing enables real-time applications on Edge devices. Ethical concerns around AI use are rising, with specific integrated circuits and multichip modules being developed to address these issues. AI data centers and cognitive computing are powering AI applications in various sectors, including healthcare, retail, finance, automotive, and manufacturing. Patent filings for AI technologies continue, with potential applications in mobile health monitoring, elderly population care, and image recognition. The future of AI lies in the intersection of AI, robotics, and quantum computing, with potential use cases in autonomous vehicles, IoT devices, and Industry 4.0. The market for AI chips is expected to grow significantly, with investments in research and development and collaboration between tech giants and startups. However, system failure and malfunctioning remain challenges, with ongoing efforts to improve reliability. 

The Internet of Things (IoT) market is experiencing significant growth due to the advantages it offers in various industries, including aerospace and defense, automotive, consumer electronics, healthcare, and more. IoT devices make decisions using data they receive, eliminating the need for human intervention. To enhance their capabilities, IoT device manufacturers integrate Human-Machine Interface (HMI) technologies into devices such as cameras, drones, smart speakers, smartphones, smart TVs, and others. This integration leads to the deployment of Artificial Intelligence (AI) chips in IoT devices, enabling power-efficient data processing and machine learning computation. The high demand for IoT devices and the integration of AI chips make the AI Chips Market a lucrative business opportunity. 

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 Market Challenges

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the growing demand for advanced AI technologies, including deep learning and robotics, poses challenges for hardware components like AI chips. Traditional CPUs, GPUs, FPGAs, and ASICs struggle to meet the high computing requirements of AI algorithms and machine learning models. Leading tech companies like Advanced Micro Devices, Nvidia, and Huawei are investing in AI chip lines to address these challenges. For instance, Nvidia’s A100 chip and Huawei’s Ascend 910B chipset are designed for AI data centers, while the Trainium2 chip focuses on edge computing. Energy efficiency is another concern, as AI applications, such as generative AI and large language models, require massive data processing. Highbandwidth memory and quantum computing are potential solutions, but they present their own challenges. Moreover, ethical concerns surrounding AI technologies, such as system failure and malfunctioning, require careful consideration. Edge computing and centralized cloud servers offer alternatives for real-time applications and reducing latency. AI applications span various industries, including healthcare, retail, finance, and automotive. Ethical concerns and energy efficiency challenges must be addressed to ensure the widespread adoption of AI technologies. AI technologies like cognitive computing, machine intelligence, image recognition, and pose detection are transforming industries, from healthcare to retail, finance, automotive, and more. Patent filing and system failure are concerns, but the potential benefits far outweigh the challenges. AI technologies are also being integrated into everyday devices, such as mobile phones, personal computers, gaming consoles, and even wearable devices and smart homes. Theoretical and algorithmic basis, visual understanding, and automatic analysis are essential for these applications. In conclusion, the AI chip market is experiencing significant growth, driven by the increasing demand for AI technologies in various industries. However, challenges related to energy efficiency, ethical concerns, and system failure must be addressed to ensure the widespread adoption of AI technologies. Companies are investing in AI chip lines, such as Nvidia’s A100 chip and Huawei’s Ascend 910B chipset, to meet the demands of AI applications in industries like healthcare, retail, finance, and automotive. Edge computing and centralized cloud servers offer alternatives for real-time applications and reducing latency. The future of AI technologies is bright, with potential applications in manufacturing machines, processors, GPUs, FPGAs, CPUs, DSPs, microcontrollers, frame buffers, display devices, and programmable logic chips.The AI chips market is experiencing significant growth due to the potential revenue increases that companies can achieve through artificial intelligence implementation. However, the market’s expansion is hindered by a shortage of skilled professionals with expertise in AI technology. The high research and development costs associated with AI integration and the lack of available talent pose challenges for enterprises. To address this issue, companies must carefully evaluate the benefits and requirements before implementing AI solutions. The scarcity of experienced AI professionals is currently the greatest barrier to the widespread adoption of AI within business operations.

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Segment Overview 

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

ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And AfricaProcessing TypeEdgeCloudApplicationNature Language ProcessingRoboticsComputer VisionNetwork SecurityOthersTechnologySystem On ChipSystem In PackageMulti Chip ModuleOthers

1.1 ASICs-  Artificial Intelligence (AI) chips are experiencing significant growth due to the increasing adoption of application-specific integrated circuits (ASICs) in data centers. ASICs are customized, non-configurable chips that offer faster performance than GPUs and FPGAs. Google’s Tensor Processing Unit (TPU) is an example of an ASIC designed for deep neural networks. TPUs provide higher performance and speed compared to GPUs, FPGAs, and CPUs. The TPU is a network of software and hardware that learns specific tasks by analyzing large data sets. TensorFlow, an open-source machine learning library, is used with TPUs to develop new algorithms. ASIC-based AI chips are gaining market share due to their ability to offer superior performance and speed in data center applications. The use of ASICs in cloud-based data centers is driving the growth of the AI chips market.

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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 are driving the demand for AI chips, which are specialized hardware components designed to accelerate AI computations. AI chips include specific integrated circuits like CPUs, GPUs, FPGAs, and system on chips. Quantum computing is also expected to revolutionize AI technologies, leading to the development of advanced AI chips. The market is witnessing innovation with the introduction of new AI chips like Trainium2, designed for high-performance AI applications. Industries such as healthcare, retail, finance, automotive, and IoT devices are major consumers of AI chips. Ethical concerns surrounding AI are also pushing the need for more advanced AI chips to ensure transparency and accountability. 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. Highbandwidth memory is another crucial component in the development of advanced AI chips. The market is expected to grow significantly in the coming years, with new applications and use cases emerging in robotics, autonomous vehicles, and generative AI.

Market Research Overview

Artificial Intelligence (AI) Chips Market: Overview The AI Chips Market is a rapidly growing sector driven by the increasing demand for advanced AI technologies, including deep learning and machine learning, in various industries. AI Chips are specialized hardware components designed to accelerate AI algorithms and technologies, such as neural networks, quantum computing, and cognitive computing. These chips are integral to powering AI applications in robotics, computer vision, natural language processing, and other fields. The market for AI Chips encompasses a range of hardware components, including CPUs, GPUs, FPGAs, ASICs, DSPs, and microcontrollers. Companies are investing heavily in research and development to create more energy-efficient and high-performance AI chips to meet the demands of real-time applications and big data processing. Key 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 highbandwidth memory and other advanced technologies. The market is also seeing the emergence of edge computing and the use of AI in centralized cloud servers and edge devices, such as mobile phones and IoT devices. Applications of AI Chips span various industries, including healthcare, retail, finance, automotive, and manufacturing. Ethical concerns surrounding AI and the potential for system failure or malfunctioning are also driving the need for more advanced and reliable AI chips. The market is expected to continue growing as AI technologies become increasingly integrated into everyday life, from health monitoring and personalized health to smart homes, connected cars, and manufacturing machines. The theoretical and algorithmic basis of AI technologies, including deep learning and machine learning, continue to evolve, with advancements in image recognition, pose detection, behavioral patterns, and structured data analysis. Patent filing and innovation are key drivers in the AI Chips Market, with companies investing in research and development to stay ahead of the competition. The market for AI Chips is diverse and dynamic, with applications ranging from mobile phones and embedded systems to personal computers, gaming consoles, and data centers. The future of AI Chips lies in their ability to provide high computing power, parallel processing, and energy efficiency, making them essential for powering the next generation of AI technologies and applications.

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 AfricaProcessing TypeEdgeCloudApplicationNature Language ProcessingRoboticsComputer VisionNetwork SecurityOthersTechnologySystem On ChipSystem In PackageMulti Chip ModuleOthers

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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BCE reports results of Series S and T preferred share conversions

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October 19, 2026

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MONTRÉAL, Oct. 19, 2026 /CNW/ — BCE Inc. (TSX: BCE) (NYSE: BCE) today announced that 400 of its 4,798,333 fixed-rate Cumulative Redeemable First Preferred Shares, Series T (“Series T Preferred Shares”) have been tendered for conversion on November 2, 2026, on a one-for-one basis, into floating-rate Cumulative Redeemable First Preferred Shares, Series S (“Series S Preferred Shares”). In addition, 676,765 of its 1,866,877 Series S Preferred Shares have been tendered for conversion on November 2, 2026, on a one-for-one basis, into Series T Preferred Shares. Consequently, on November 2, 2026, BCE will have 5,474,698 Series T Preferred Shares and 1,190,512 Series S Preferred Shares issued and outstanding. The Series T Preferred Shares and the Series S Preferred Shares will continue to be listed on the Toronto Stock Exchange under the symbols BCE.PR.T and BCE.PR.S, respectively.

The Series T Preferred Shares will pay on a quarterly basis, for the five-year period beginning on November 2, 2026, as and when declared by the Board of Directors of BCE, a fixed cash dividend based on an annual fixed dividend rate of 5.523%.

The Series S Preferred Shares will continue to pay a monthly floating adjustable cash dividend for the five-year period beginning on November 2, 2026, as and when declared by the Board of Directors of BCE. The monthly floating adjustable dividend for any particular month will continue to be calculated based on the prime rate for such month and using the Designated Percentage for such month representing the sum of an adjustment factor (based on the market price of the Series S Preferred Shares in the preceding month) and the Designated Percentage for the preceding month.

About BCE
BCE is Canada’s largest communications company1, leading the way in advanced fibre and wireless networks, enterprise services and digital media. By delivering next-generation technology that leverages cloud-based and AI-driven solutions, we’re keeping customers connected, informed and entertained while enabling businesses to compete on the world stage. To learn more, please visit Bell.ca or BCE.ca.

1 Based on total revenue and total combined customer connections.

Media inquiries:
Ellen Murphy
media@bell.ca

Investor inquiries:
Krishna Somers
krishna.somers@bell.ca

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SOURCE BCE Inc.

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3M announces collaboration with GSEO to advance Expanded Beam Optical manufacturing and development

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3 hours ago

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October 19, 2026

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ST. PAUL, Minn., Oct. 19, 2026 /PRNewswire/ — 3M (NYSE: MMM) today announced a collaboration with Genius Electronic Optical Co., Ltd. (GSEO, Taiwan: 3406), an optical technology company, to advance technology development and manufacturing for 3M’s Expanded Beam Optical (EBO) solutions. In support of these efforts, 3M expects to make a strategic investment to acquire approximately 4.7% of GSEO’s common shares as part of the company’s private placement of newly issued shares, subject to customary closing conditions.

The collaboration brings together 3M’s EBO technology leadership, optical interconnect expertise, materials science, manufacturing scale and customer relationships with GSEO’s precision optics manufacturing capabilities and production scale. Together, the companies aim to support EBO commercialization and long-term capacity expansion to meet growing demand from hyperscale data centers and other advanced connectivity applications.

“3M is investing in capabilities and partnerships that can accelerate innovation for our customers,” said William Brown, 3M Chairman and CEO. “By selecting GSEO as a manufacturing partner and investing in the company, we are strengthening the path to scale next-generation optical connectivity solutions for high-performance data center infrastructure.”

GSEO’s existing precision optics manufacturing capabilities and technical development experience are expected to support manufacturing readiness for 3M’s EBO ferrules, co-packaged optics solutions and related optical interconnect applications. The collaboration is part of 3M’s broader EBO ecosystem strategy, which includes continued work with customers and partners across the optical interconnect market.

“GSEO is pleased to expand its relationship with 3M as we work together to advance optical interconnect solutions for next-generation data center infrastructure,” said Micro Kuo, GSEO CEO and President. “This collaboration brings together complementary technology and manufacturing strengths to support continued innovation and help meet the performance demands of high-growth connectivity markets.”

3M expects the strategic investment to close in the fourth quarter of 2026, subject to customary closing conditions.

Forward-Looking Statements
Certain statements in this release are considered “forward-looking statements” under the federal securities laws, including the Private Securities Litigation Reform Act of 1995, as amended, and are intended to enjoy the protection of those laws. Forward-looking statements may appear throughout this release and are typically identified by the words “aim,” “anticipate,” “believe,” “can,” “continue,” “could,” “estimate,” “evaluate,” “expect,” “forecast,” “future,” “goal,” “guidance,” “impact,” “initial,” “intend,” “likely,” “may,” “outlook,” “plan,” “possible,” “potential,” “predict,” “probable,” “project,” “seek,” “should,” “strategy,” “target,” “will,” “would,” and other words that are similar to, or have the opposite meanings of, those words. Forward-looking statements speak only as of the date they are made, 3M assumes no duty to update those statements, and readers are cautioned not to place undue reliance on any of those statements. Forward-looking statements are based on certain assumptions and expectations of future events and trends that are subject to risks and uncertainties, including those described in Part I, Item 1A, “Risk Factors” of 3M’s Form 10-K for the year ended December 31, 2025.

About 3M
3M (NYSE: MMM) is focused on transforming industries around the world by applying science and creating innovative, customer-focused solutions. Our multi-disciplinary team is working to solve tough customer problems by leveraging diverse technology platforms, differentiated capabilities, global footprint, and operational excellence. Discover how 3M is shaping the future at 3M.com/news.

Contacts
3M
Investor Contact:
Diane Farrow, 612-202-2449
Media Contact:
3MNews@mmm.com 

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Scott Vicknair Personal Injury Lawyers Announces Second Annual Operation Fur-Ever Home Pet Adoption Event at Lafreniere Park

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October 19, 2026

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NEW ORLEANS, Oct. 19, 2026 /PRNewswire/ — Scott Vicknair Personal Injury Lawyers is excited to announce the return of its second annual Operation Fur-Ever Home, a free community pet adoption event taking place on Saturday, November 14, 2026, from 9:00 a.m. to 11:00 a.m. at Lafreniere Park in Metairie, Louisiana.

The free, family-friendly event will give attendees the opportunity to meet adoptable pets from local animal shelters, learn about responsible pet ownership, and potentially welcome a new furry companion into their homes. Those who preregister for the event will also be entered for a chance to win a Soundcore speaker and a free pet adoption.

“Last year’s event was everything we hoped it would be, and we are incredibly excited to bring Operation Fur-Ever Home back for a second year,” said David Vicknair, founding partner of Scott Vicknair Personal Injury Lawyers. “There is something special about watching a family meet a pet that could become part of their lives for years to come. We wanted to create another opportunity to make those connections while supporting the organizations that work tirelessly to care for animals in our community.”

Building on the success of the first event, this year’s event continues the firm’s commitment to supporting local animal shelters and creating meaningful opportunities for families throughout Southeast Louisiana.

“Giving back to our community has always been an important part of who we are as a firm,” said Vicknair. “Whether we are helping students prepare for school, recognizing deserving teachers, or supporting local animal shelters, our goal is to make a positive difference in the communities we serve.”

Operation Fur-Ever Home is free and open to the public. Families, animal lovers, and anyone interested in adopting a pet are encouraged to attend and preregister.

About Scott Vicknair Personal Injury Lawyers

Scott Vicknair Personal Injury Lawyers is a New Orleans-based personal injury firm committed to providing exceptional legal representation while also investing in the communities it serves. Their experienced team of dedicated attorneys specializes in car accidents, personal injury, and wrongful death cases in New Orleans. With diverse personal and professional backgrounds, they craft legal strategies tailored to each client’s specific case and needs.

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