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Artificial Intelligence (AI) Chips Market to Grow by USD 902.65 Billion (2025-2029), Focus on AI Chips for Smartphones Drives Growth, Report with AI Trends – Technavio

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NEW YORK, Jan. 24, 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..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View Free Sample PDF

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 902.65 billion

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, automotive, and more. Deep learning and machine learning algorithms require powerful hardware components like AI chips. Advanced Micro Devices (AMD) and Nvidia lead the market with their Trainium2 chip and A100 chip, respectively. These chips use highbandwidth memory for energy efficiency and high computing power. Quantum computing and generative AI are emerging trends in AI technologies. AI chip lines, such as Ascend 910B chipset and H200 chipset, are designed specifically for AI applications. Cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, while edge computing enables real-time data processing on Edge devices. Ethical concerns surrounding AI use are rising. AI applications in healthcare, elder care, and IoT devices require high security and privacy. ML and DL algorithms power computer vision, image recognition, and pose detection, while cognitive computing and machine intelligence enable personalized health and treatment devices. AI technologies require various hardware components, including CPUs, GPUs, FPGAs, ASICs, DSPs, microcontrollers, frame buffers, and display devices. Energy efficiency, latency, and parallel computing are crucial factors for AI data centers. Theoretical and algorithmic basis, automatic analysis, and extraction are essential for AI applications. Patent filings for AI technologies are increasing, with applications in various industries, including manufacturing machines, wearable devices, smart homes, and connected cars. System failure and malfunctioning are concerns, and ethical considerations are necessary for the successful implementation of AI technologies. 

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 more. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and others, are making decisions based on data they receive without human intervention. To enhance the capabilities of these devices, manufacturers are integrating Human-Machine Interface (HMI) technologies and deploying AI chips. These chips enable power-efficient data processing and machine learning computation, allowing IoT devices to function more intelligently and autonomously. The integration of AI chips in IoT devices is a key trend driving market growth. 

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Market Challenges

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the growing demand for AI technologies, including deep learning and machine learning, puts pressure on hardware components like AI chips. Companies like Advanced Micro Devices and Nvidia are investing in AI chip lines, such as the Trainium2 chip and Nvidia’s A100 chip, to meet this demand. These chips enable AI algorithms to run efficiently, powering applications like image recognition and pose detection. However, challenges remain. Energy efficiency is crucial, as AI data centers require vast amounts of power. Quantum computing and generative AI may offer solutions, but they present complexities. Ethical concerns around AI use also arise. Edge computing and Edge devices are becoming essential for real-time applications, reducing latency and processing data locally. Big data requires high-bandwidth memory and parallel computing, which can be achieved through system on chip, multichip module, or ASICs. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, but they face competition from edge devices and AI data centers. AI applications in industries like healthcare, retail, finance, and automotive require specialized hardware, such as CPUs, GPUs, FPGAs, and DSPs. The future of AI lies in the intersection of AI technologies, hardware components, and ethical considerations.The AI chips market is experiencing significant growth due to the potential revenue increases for businesses adopting artificial intelligence. However, the lack of skilled labor in AI technology poses a significant challenge to market expansion. Companies must carefully consider the high research and development costs and potential talent shortage before implementing AI solutions. Enterprise AI implementation is currently hindered by the scarcity of experienced professionals with the necessary technical expertise in this field.

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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 AfricaProcessing TypeApplicationTechnology

1.1 ASICs- Artificial Intelligence (AI) chips are experiencing significant growth, with application-specific integrated circuits (ASICs) leading the way. ASICs are customized chips designed for specific functions, offering faster performance than GPUs and FPGAs. Google’s Tensor Processing Unit (TPU) is an ASIC-based AI chip, specifically engineered for deep neural networks. TPU is a hardware-software solution that learns tasks by analyzing large data sets. It’s already being used in Google Search and Google Street View. Data centers are integrating TPUs into servers to manage data efficiently. TPU’s instruction set allows TensorFlow programs to be modified, enabling new algorithms. TensorFlow is an open-source machine learning library, making ASIC-based AI chips a promising choice for data center applications. The use of ASICs is driving the growth of AI chips market, providing superior performance and speed compared to GPUs, FPGAs, and CPUs.

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Research Analysis

Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing demand for advanced AI technologies in various industries. AI Chips are specialized hardware components designed to accelerate AI algorithms, including deep learning and machine learning. These chips are integral to AI applications in robotics, autonomous vehicles, healthcare, retail, finance, automotive, IoT devices, and more. Quantum computing is also expected to revolutionize AI technologies, leading to the development of more powerful AI chips. Advanced Micro and other key players are investing heavily in AI chip research and development. The market includes various types of chips such as CPU, FPGA, GPU, system on chip, multichip module, and Trainium2 chip. Ethical concerns surrounding AI are also driving the need for more efficient and specific integrated AI chips. The market is segmented into cloud and edge computing, with the edge computing segment expected to grow rapidly due to the increasing demand for real-time AI processing. Highbandwidth memory is another critical component of AI chips, enabling faster data processing and analysis. Overall, the AI Chips Market is poised for significant growth in the coming years.

Market Research Overview

Artificial Intelligence (AI) Chips Market: Overview The Artificial Intelligence (AI) Chips Market is a rapidly growing sector that focuses on designing and manufacturing specialized hardware components for AI applications. These chips are designed to accelerate AI algorithms, including deep learning and machine learning, to enable advanced functionalities such as image recognition, pose detection, behavioral patterns analysis, and natural language processing. AI Chips are essential components of various AI technologies, including robotics, quantum computing, and cognitive computing. They come in different forms, such as System on Chip (SoC), Multichip Module (MCM), CPU, GPU, FPGA, ASIC, DSP, and microcontrollers. The market for AI Chips is driven by the increasing demand for AI applications in various industries, including healthcare, retail, finance, automotive, and manufacturing. The need for real-time data processing and energy efficiency is also a significant factor driving the growth of the market. AI Chips are used in both centralized cloud servers and edge devices for data processing. Centralized cloud servers, such as Microsoft Azure, Amazon Web Services, and Google Cloud, require high computing power and high-bandwidth memory, making GPUs and CPUs popular choices for AI Chips. Edge devices, on the other hand, require low power consumption and small form factors, making FPGAs and ASICs popular choices. The market for AI Chips is also driven by the increasing use of AI in mobile applications, healthcare, and IoT devices. Ethical concerns regarding AI and the elderly population’s growing demand for personalized health solutions are also expected to fuel the market’s growth. Some of the notable AI Chips in the market include Nvidia’s A100 chip, Ascend 910B chipset, and H200 chipset. Companies are also investing heavily in patent filing and system failure prevention to ensure the reliability and efficiency of their AI Chips. The market for AI Chips is expected to continue growing as AI applications become more prevalent in various industries. The increasing use of AI in real-time applications, such as autonomous vehicles and smart homes, is also expected to drive the market’s growth. However, the market’s growth may be hindered by the high cost of developing and manufacturing AI Chips and the ethical concerns surrounding AI. In conclusion, the AI Chips Market is a dynamic and growing sector that plays a crucial role in enabling advanced AI applications across various industries. The market’s growth is driven by the increasing demand for AI applications, the need for energy efficiency, and the development of new AI technologies, such as generative AI and cognitive computing. However, the market’s growth may be hindered by ethical concerns and the high cost of developing and manufacturing AI Chips.

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 TypeApplicationTechnology

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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Cboe Clear U.S. Receives SEC Approval to Expand Clearing Capabilities

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SEC registration enables Cboe Clear U.S. to clear binary securities options alongside futures, positioning it to support innovation across the market

CHICAGO, Oct. 23, 2026 /PRNewswire/ — Cboe Global Markets, Inc. (Cboe: CBOE), a leading global markets operator and pioneer in equity and index derivatives, today announced that Cboe Clear U.S., LLC (CCUS) has received temporary registration from the U.S. Securities and Exchange Commission (SEC) to operate as a Covered Clearing Agency.

The registration expands CCUS’s clearing capabilities beyond its existing authorities as a Commodity Futures Trading Commission (CFTC)-registered Derivatives Clearing Organization (DCO) to clear securities products in addition to futures and swaps products. Together with recent enhancements to its regulatory framework and product scope, the milestone positions CCUS to support innovation and emerging opportunities across a broad range of assets and markets.

CCUS will initially use its SEC registration to clear Cboe’s binary securities options tied to specified corporate key performance indicators (KPIs), which are planned to list on Cboe Options Exchange and be available on Robinhood in the fourth-quarter 2026. CCUS also recently received CFTC approval to clear margined futures broadly and continues to clear digital asset derivatives under its DCO designation.

“Clearing plays a critical role in bringing innovation to market,” said Dale Michaels, Head of Cboe Clear U.S. “These expanded capabilities position Cboe Clear U.S. to become an innovation lane to support new products and meet evolving customer needs, while maintaining the rigorous risk management standards that are fundamental to our business.”

These efforts complement Cboe’s longstanding partnership with The Options Clearing Corporation (OCC)® and Cboe’s continued commitment to supporting the established clearing infrastructure for traditional equity options.

The development builds on the growth of Cboe’s established European clearing business, where Cboe Clear Europe has become the leading pan-European equities central counterparty, while expanding into new services such as securities financing transaction clearing. Together, these advances demonstrate Cboe’s ability to extend its clearing capabilities across markets and asset classes.

To support its own future growth, CCUS has strengthened its infrastructure over the past year, including electing in June to become a Subpart C DCO. In doing so, CCUS is voluntarily adopting the enhanced standards the CFTC applies to systemically important DCOs for financial resources, risk management and operational resilience, aligning with those applied to leading global clearing organizations.

About Cboe Global Markets

Cboe Global Markets (Cboe: CBOE) is a leading global markets operator with a long history of innovation in equity and index derivatives. Since launching the world’s first listed options exchange in 1973, Cboe has pioneered landmark products, including the introduction of S&P 500® index options and the creation of the VIX® Index, the world’s leading gauge of market volatility, reshaping how investors manage risk and access opportunity. Today, Cboe operates derivatives, equities, and FX markets, providing trading, clearing, and investment solutions for customers worldwide. To learn more, visit www.cboe.com.

Cboe Media Contacts

 

Cboe Analyst Contact

 

Angela Tu

+1-646-856-8734

atu@cboe.com

Tim Cave

+44 (0) 7593-506-719

tcave@cboe.com

Kenneth Hill, CFA

+1-312-786-7559

khill@cboe.com

CBOE-C
CBOE-OE

Cboe®, Cboe Global Markets®, and VIX ® are registered trademarks or service marks of Cboe Exchange, Inc and S&P 500® is a registered trademark of Standard & Poor’s Financial Services LLC. All other trademarks and service marks are the property of their respective owners. 

Cautionary Statements Regarding Forward-Looking Information

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995 that involve a number of risks and uncertainties. You can identify these statements by forward-looking words such as “may,” “might,” “should,” “expect,” “plan,” “anticipate,” “believe,” “estimate,” “predict,” “potential” or “continue,” and the negative of these terms and other comparable terminology. All statements that reflect our expectations, assumptions or projections about the future other than statements of historical fact are forward-looking statements. These forward-looking statements, which are subject to known and unknown risks, uncertainties and assumptions about us, may include projections of our future financial performance based on our growth strategies and anticipated trends in our business. These statements are only predictions based on our current expectations and projections about future events. There are important factors that could cause our actual results, level of activity, performance or achievements to differ materially from those expressed or implied by the forward-looking statements.

We operate in a very competitive and rapidly changing environment. New risks and uncertainties emerge from time to time, and it is not possible to predict all risks and uncertainties, nor can we assess the impact of all factors on our business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward-looking statements.

Some factors that could cause actual results to differ include: the loss of our right to exclusively list and trade certain index options and futures products; economic, political and market conditions; compliance with legal and regulatory obligations; price and new products and services competition and consolidation in our industry; decreases in trading or clearing volumes, market data fees or a shift in the mix of products traded on our exchanges; legislative or regulatory changes or changes in tax regimes; our ability to protect our systems and communication networks from security vulnerabilities and breaches; our ability to attract and retain skilled management and other personnel; increasing competition by foreign and domestic entities; our business and operational dependence on and exposure to risk from third parties; factors that impact the quality and integrity of our and other applicable indices; our ability to manage our global operations, growth, and strategic acquisitions, wind downs, divestitures, or alliances effectively; increases in the cost of the products and services we use; our ability to operate our business without violating the intellectual property rights of others and the costs associated with protecting our intellectual property rights; our ability to minimize the risks, including our credit, liquidity, market, investment, counterparty, and default risks, associated with operating our  clearinghouses; our ability to accommodate trading and clearing volume and transaction traffic, including significant increases, without failure or degradation of performance of our systems; misconduct by those who use our markets or our products or for whom we clear transactions; challenges to our use of open source software code; our ability to meet our compliance obligations, including managing our business interests and our regulatory responsibilities; the loss of key customers or a significant reduction in trading or clearing volumes by key customers; damage to our reputation; the ability of our compliance and risk management methods to effectively monitor and manage our risks; restrictions imposed by our debt obligations and our ability to make payments on or refinance our debt obligations; our ability to maintain an investment grade credit rating; impairment of our goodwill, long-lived assets, investments or intangible assets; the accuracy of our estimates and expectations; and litigation risks and other liabilities. More detailed information about factors that may affect our actual results to differ may be found in our filings with the SEC, including in our Annual Report on Form 10-K for the year ended December 31, 2025 and other filings made from time to time with the SEC.

We do not undertake, and we expressly disclaim, any duty to update any forward-looking statement whether as a result of new information, future events or otherwise, except as required by law. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof.

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SOURCE Cboe Global Markets, Inc.

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Hears Everything, Uploads Nothing: VoxNexus Launches Android’s First Low-Power On-Device Always-On Voice Artificial Intelligence (AI)

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VoxNexus’ new on-device ambient listening solution runs for 12 hours on 2.49% of a phone’s battery and never sends audio to the cloud

MADRID, Oct. 23, 2026 /PRNewswire/ — VoxNexus (www.VoxNexus.ai) released VoxEdge, an on-device voice stack that brings speech recognition, translation and speech synthesis to affordable Android devices, entirely offline. VoxEdge supports speech recognition in 36 languages, translation in 103 languages, and speech synthesis in 45 languages—all running with no connection, no data bundle, and no cloud token bills.

AI should work for everyone, not just for speakers of a handful of mainstream languages. Yet across much of Africa, voice AI has been held back by scarce training data and the lack of targeted fine-tuning. Everyday speech also includes code-switching and dialect variation, while cloud-based inference costs can make deployment at scale expensive. 

VoxNexus’s solutions run entirely on device, and every query is free once the model is installed on the device. Its speech recognition model has as few as 65 million parameters and achieves a lower word error rate than open-source models nearly ten times its size.

“Under-resource languages aren’t small languages. Hundreds of millions of people speak them. Until now, AI models just haven’t learned them yet,” said Charles Shi, CEO of VoxNexus.

VoxNexus also launched VoxSense, an on-device ambient listening solution that uses only 162 mAh for 12 hours of continuous listening, around 2.5% of a 6,500 mAh phone battery. By keeping all processing on device, VoxSense makes always-on listening practical without draining the battery and without sending any audio to the cloud. Developers and device makers can easily integrate it through a license and a simple SDK. Developers can request a free trial here: www.VoxNexus.ai.

VoxSense and VoxEdge were unveiled at the MediaTek Dimensity 9600 launch in Madrid on October 19.

Distributed by APO Group on behalf of VoxNexus AI. 

About VoxNexus:
VoxNexus builds AI that hears and speaks — for everyone, everywhere, all the time. Its audio intelligence runs entirely on-device, delivering low latency, built-in privacy, and zero token cost across any device with a chip. VoxNexus is headquartered in Singapore. Website: www.VoxNexus.ai. Contact: public@voxnexus.ai  

VoxNexus demonstrates live on-device speech recognition at the MediaTek Dimensity 9600 launch in Madrid on Oct. 19, 2026. Spanish and English conversations were transcribed in real time on the phone, with no cloud connection. (Photo: VoxNexus) 

Speaks Your Language, No Internet Needed: VoxNexus Brings On-Device Voice Artificial Intelligence (AI) in 100+ Languages to Affordable Android Devices

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SOURCE VoxNexus AI

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team.blue extends €1.1 billion of its Term Loan B to 2032 in the largest software Euro term loan issuance in the last 12 months

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GHENT, Belgium, Oct. 23, 2026 /PRNewswire/ — team.blue, a leading pan-European provider of digital solutions for small and medium-sized businesses (SMBs) backed by Hg, CPP Investments and Sofina, today announces the successful pricing of an amendment and maturity extension for €1.1 billion of its existing €1.35 billion Term Loan B. The transaction priced on 22 October 2026, with the refinanced tranche extended from September 2029 to July 2032, reinforcing the Company’s prudent capital structure approach.

Strong demand from a broad group of institutional investors enabled team.blue to upsize the transaction twice in-market, taking the final deal size to €1.1 billion from a minimum initial launch size of €500 million, despite recent credit market volatility. Pro forma for the transaction, c.90% of team.blue’s term debt now matures in 2032.

The transaction comes at a time of significant momentum for team.blue, with continued double-digit revenue growth and strong cash generation supporting its deleveraging trajectory. Its products help Europe’s SMBs get online, get customers, get paid and stay compliant, and AI-enabled products are increasingly driving new customer growth. team.blue continues to innovate across its portfolio, from smarter tools within its brands to secure European cloud hosting built for customers’ growing AI workloads. Its category-leading SaaS brands are also integrating with leading AI assistants, bringing team.blue’s products to customers wherever they work.

Transaction highlights

The largest software Euro term loan issuance in the last 12 months€1.1 billion Term Loan B, borrowed by team.blue Finco S.à r.l., maturing July 2032Priced at E + 425bps with a 0% floor and an OID of 98.5Upsized twice from an initial €500 million, reflecting a heavily oversubscribed order bookCorporate and facility ratings of B3 (Moody’s) and B (S&P), both with stable outlooksBofA acted as Global Coordinator and Left Lead Physical Bookrunner, alongside Barclays. ABN AMRO, BNP Paribas, Citi, ING and J.P. Morgan acted as Bookrunners

Jonathan Thackray, Chief Financial Officer of team.blue, said:
“We set out to extend €500 million of our Term Loan B, and the depth of support from our institutional investor base allowed us to go much further. This reflects confidence in team.blue’s highly recurring, cash-generative model and our position as a leading digital partner for Europe’s SMBs. It gives us the flexibility to keep innovating and investing in the digital and AI-enabled tools our customers rely on.”

About team.blue
team.blue is the pan-European digital partner for small and medium businesses, serving more than 3.5 million customers in 24 countries. From web hosting, domains, email and cloud and AI infrastructure to e-commerce, engagement, payments and compliance tools, team.blue helps SMBs get online, get customers, get paid and stay compliant. Supported by more than 4,000 employees, team.blue’s vision is to make online business success simpler, with artificial intelligence at every step. 

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