Technology

Artificial Intelligence (AI) Chips Market to Grow by USD 902.6 Billion by 2029, Driven by AI-Powered Smartphone Chips – Report on How AI is Redefining the Market Landscape – Technavio

Published

1 year ago

February 4, 2025

NEW YORK, Feb. 3, 2025 /PRNewswire/ — Report with market evolution powered by AI – The global artificial intelligence (AI) chips market size is estimated to grow by USD 902.6 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

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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Technology

AI-Powered Connectivity: APAC Charts a Path to a Smarter Digital Future

Published

2 hours ago

July 18, 2026

Asia-Pacific’s first Broadband Development Summit brings regulators and operators to Bangkok to set the agenda

BANGKOK, July 19, 2026 /PRNewswire/ — Government officials, standards bodies and telecom operators gathered in Bangkok on 14 July for the inaugural Broadband Development Summit APAC 2026, convened by the World Broadband Association (WBBA) to build consensus on AI-era networks.

Participants included the ITU, Thailand’s National Board of the Digital Economy and Society, WBBA, IAB, FNCAP, WAA, NIDA and the IPv6 Council, alongside operators Telkomsel, XLSmart, Surge, Globe, AIS, CMI and HKT and Huawei.

Denny Deng, President of Huawei Asia Pacific Carrier Business, envisions a “faster, smarter, greener” Asia-Pacific.

VOICES FROM THE SUMMIT

“To seize the opportunities of the AI era, we call on the industry to accelerate broadband evolution, advance computing-network synergy, and strengthen the cross-border connectivity. Together, let us build faster, smarter, and greener digital infrastructure for Asia-Pacific.”
— Denny Deng, President of Asia Pacific Carrier Business, Huawei

“High-speed broadband is no longer just about ‘getting online’ — it is the vital infrastructure upon which the entire AI revolution is being built. We view AI not merely as a tool, but as a primary engine for national competitiveness and a catalyst for improving the quality of life for all.”
— Wetang Phuangsup, Ph.D., Secretary-General, the National Board of the Digital Economy and Society, Thailand

“Three initiatives define the road to 2030. We must close the quality divide so the value of broadband reaches everyone. We must build AI-ready networks — 10G access, 800GE cores, intelligence end to end. And we must do it together, through shared standards.”
— Martin Creaner, Director General of WBBA

“Moving towards next-generation networks, network architectures must continue to evolve to deliver broader connectivity, superior quality, enhanced security, and greater intelligence. This evolution is essential for Net5.5G, positioning the network not simply as infrastructure, but as the foundation that enables AI, strengthens resilience and efficiency, and supports digital transformation across industries.”
— Dhruv Dhody, Industry Standardization Expert at Huawei, Chair of the IAB, IETF

“Across Asia-Pacific, fibre is extending beyond homes and offices into rooms, devices, and machines. By working together, we can accelerate fibre innovation and adoption to build truly AI-ready infrastructure.”
— Ilham Nandana, Chair of the Market Intelligence Committee, Fiber Network Council APAC (FNCAP)

“We fixed it before you feel it! AIS is redefining premium home broadband by combining ultra-fast connectivity with AI-driven network intelligence and smart home ecosystem — delivering proactive, invisible service excellence that transforms connectivity into differentiated customer value and sustainable ARPU growth.”
— Thanit Chaiyaboonthanit, Head of Technology Department, Broadband Business, AIS

“Connecting the Unconnected: Affordable Broadband at Scale. Create equal access to global information and empower Indonesia’s digital society.”
— Shannedy Ong, CTO of Surge Indonesia

“Beyond Connectivity: Telkomsel is transforming into a true value creator. By leveraging our FBB market-leading footprint, we power growth through service excellence, customer loyalty, and a next-generation home ecosystem.”
— Stanislaus Susatyo, Director of Sales, Telkomsel Indonesia

“We stopped treating AI as an add-on feature. Instead, our approach at Globe starts with architecture, embedding intelligence into the very core of how we build, how we sell, and how we operate.
AI continuously monitors network health, customer behavior and service quality. Rather than waiting for failures, the system predicts degradation and initiates corrective actions. By maintaining minute-level awareness of network health, our systems automatically resolve 30% of all Wi-Fi issues without any human intervention.”
— Danny Theseira, Head of Broadband Business Group at Globe Telecom

“Huawei is driving the Optics-AI Synergy to foster their collaborative growth. Through AI-ON, operators could build an AI-centric all-optical target network and establish 1-5-20ms latency circles across the Asia Pacific region. AI-ON also supports efficient computing access and usage while delivering an ultimate network experience through gigabit/ultra-gigabit home broadband, accelerating the widespread adoption of AI services.”
— Kim Jin, Vice President & Chief Marketing Officer Optical Business Product Line, Huawei

“Connectivity is not just about technology. It is a lifeline, a platform for opportunity, and a driver of sustainable development. I believe the intersection of connectivity and artificial intelligence will shape the future of smarter, more resilient networks.”
— Dr. Cosmas Zavazava, Director of the Telecommunication Development Bureau, ITU

“Performance and user experience are the essential path to the next-generation WLAN. Based on standards and AI-driven innovation, let’s jointly explore the path to the future autonomous WLAN with all the stakeholders.”
— Dr. Crane H. Yang, Secretary-General, World WLAN Application Alliance (WAA)

“At the summit, NIDA and WBBA signed an MOU to accelerate next-generation network evolution and establish pioneering smart city benchmarks through the co-development of industry standards, the harmonization of global regulations, and the sharing of vertical industry insights.
NIDA focuses on advancing network architecture standards, while WBBA drives global consensus on broadband evolution. This natural strategic complementarity creates vast opportunities for future collaboration.”
— Joey Deng, Secretary-General of NIDA

“ION-2030 develops the global standard for next generation optical networks in the AI era. It provides exceptional AI application and service experience. The WBBA and ITU will jointly accelerate its development, and this is a unique opportunity for Asia-Pacific stakeholders to actively influence the future of optical broadband networks.”
— Dr. Marcus Brunner, Chief Expert Standardization, WBBA WG1 Chair and Vice-Chair of ETSI ISG F5G

“The transition into the AI era demands a high-quality, deterministic digital foundation. By releasing Net5.5G policy guidelines, Malaysia is accelerating the evolution of next-generation network standards based on IPv6, establishing an innovative infrastructure to unleash AI’s value and drive a prosperous digital economy for 2030.”
— Prof. Sureswaran Ramadass, Chair of APAC at IPv6 Council, Industry Partner of WBBA

“The digital economy is thriving across the Asia-Pacific region, with AI emerging as a core catalyst for intelligent transformation. China Mobile International (CMI) is driving regional growth by integrating China’s advanced AI capabilities with comprehensive communications, computing, and AI services. Moving forward, CMI will collaborate closely with industry partners to foster a shared, AI-driven future for the region.”
— Paul Lin, Managing Director of Commercial and Technology, Asia Pacific, China Mobile International

“Next-generation network infrastructure is the oxygen of the intelligent economy. By integrating cutting-edge 800G connectivity with quantum-safe security, HKT is laying the essential foundations to keep Hong Kong’s enterprises highly competitive, secure, and ready for the computing paradigm shifts of tomorrow.”
— Wilson Cheung, Vice President, Broadband Design & Cyber Security, HKT

“The evolution toward Net5.5G AI WAN is an important step in strengthening XLSMART’s transport network for the future. By progressively adopting AI-assisted operations, SRv6, SDN, service differentiation, and higher-capacity transport infrastructure, we are enhancing network intelligence, operational efficiency, and service resilience while supporting long-term sustainability. This transformation is a continuous journey that aligns with the industry’s vision of AI-native broadband networks. Through collaboration with our technology partners and the broader ecosystem, we will continue to develop capabilities that deliver better network performance and support Indonesia’s growing digital connectivity needs.”
— Regie Ginanjar, Head of Transport Autonomy & Orchestration, Transport Network Transformation, XLSMART

“For the AI era, Huawei upgrades the IP bearer network via security resilience, multi-dimensional awareness, and network autonomy. This empowers carriers to guarantee service experience, accelerate monetization, and enhance efficiency, ushering in a new chapter of intelligent connectivity.”
— Arthur Wang, Vice President of Data Communication Product Line, Huawei

A CONVERGING VIEW

Speakers agreed AI is shifting networks from connectivity to intelligent connectivity, as broadband, IP, computing and cross-border infrastructure converge to support innovation and coordination.

WBBA launched the AI-Net Certification, a global benchmark for national policy, industrial ecosystems and network intelligence. XLSmart was named first AI-Net Champion, and Indonesia was among the first with a certified operator, backed by its Net5.5G roadmap.

In another high-profile segment, WBBA Director General Martin Creaner presented the Gigacity Certification to KOMDIGI, SURGE, Telkomsel, AIS, TRUE, HKT and Globe, recognizing regional broadband pioneers.

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SOURCE HUAWEI

Technology

Laifen Expands U.S. Retail Footprint with Costco Launch of Best-Selling SE Hair Dryer

Published

3 hours ago

July 18, 2026

Starting July 18, Costco Members Can Shop Laifen’s Award-Winning Hair Dryer in Select Warehouse Locations Across the U.S.

NEW YORK, July 18, 2026 /PRNewswire/ — Laifen, ranked the world’s No.1 high-speed hair dryer brand, today announced the launch of its best-selling SE High-Speed Hair Dryer at select Costco warehouse locations, marking the brand’s largest U.S. retail expansion to date and bringing its award-winning haircare technology to Costco members across select U.S. markets.

The launch brings Laifen’s award-winning haircare technology to Costco, making it easier for consumers to experience the brand through one of the nation’s leading membership retailers. Laifen joins Costco’s growing portfolio of premium beauty and personal care brands. The initial rollout includes select Costco warehouse locations across the United States, with a strong presence across the Western U.S., including California, the Pacific Northwest and the Southwest.

Costco’s reputation for quality and its highly selective merchandising approach make this partnership especially meaningful. The Costco launch reflects Laifen’s continued expansion beyond direct-to-consumer channels as the brand accelerates its U.S. omnichannel retail strategy. “Costco represents an important milestone in our U.S. retail strategy,” said Romeo, General Manager of International Business of Laifen. “As more consumers seek salon-quality performance at an accessible price, we’re excited to make Laifen available through one of America’s most trusted retailers.”

Engineered to deliver professional-level performance in a sleek, lightweight design, the Laifen SE is powered by the brand’s proprietary high-speed brushless motor, delivering fast drying, reduced heat damage and smoother styling. An intelligent temperature control system continuously monitors airflow to help minimize frizz while protecting hair from excessive heat.

The Costco launch represents the next phase of Laifen’s U.S. retail expansion as the brand continues to grow beyond its direct-to-consumer and online channels. By expanding into one of the nation’s most trusted retailers, Laifen aims to broaden access to its category-disrupting haircare solutions while advancing its mission to bring more thoughtful design and everyday excellence into more homes.

The Laifen SE High-Speed Hair Dryer in White will be available at select Costco locations, while Costco.com shoppers will have access to additional color options including Purple and Pink, alongside the White model.

For more information on Laifen, please visit LaifenTech.com.

About Laifen:

Founded in 2019, Laifen is a global personal care technology brand combining high-performance engineering with modern design across hair care, oral care, and grooming categories. Ranked the world’s No. 1 high-speed hair dryer brand by Euromonitor International, Laifen first gained recognition for its self-developed 110,000 RPM high-speed brushless motor, the proprietary technology behind its award-winning hair dryers.

Building on this innovation, Laifen has expanded its portfolio to include electric toothbrushes and shavers, delivering premium technology and elevated everyday experiences to consumers worldwide. Today, Laifen products and accessories are used by over 22 million households across more than 60 countries, supported by more than 600 patents and recognized with over 50 international design and innovation awards. Driven by continuous technological breakthroughs, Laifen is committed to making cutting-edge personal care technology more accessible to consumers around the world.

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Technology

Pillsbury Notice of Data Breach

Published

6 hours ago

July 18, 2026

NEW YORK, July 18, 2026 /PRNewswire/ — Pillsbury Winthrop Shaw Pittman LLP (“Pillsbury”) was among many law firms targeted by sophisticated social engineering attempts in an incident last year. While the firm quickly detected and blocked the activity, an unauthorized actor was able to access some of the firm’s documents during a short window of time. Pillsbury notified any impacted clients last year and undertook a detailed process to review the accessed documents for personal information. Pillsbury then began notifying individuals whose personal information was affected. That process is now complete, and today, Pillsbury is publishing substitute notice as a final step.

For more information, please visit the substitute notice on our website at https://www.pillsburylaw.com/en/breach-notice.html.

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SOURCE Pillsbury Winthrop Shaw Pittman LLP