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Artificial Intelligence (AI) Chips Market to Grow by USD 902.65 Billion (2025-2029), Driven by AI Chip Innovation for Smartphones, AI Driving Transformation – Technavio

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NEW YORK, Jan. 18, 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 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, 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 the Trainium2 chip and Ascend 910B chipset. These chips are designed to handle the high computing requirements of AI technologies, including quantum computing and generative AI. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud are investing in AI data centers to offer AI services to businesses and developers. Edge computing is also gaining popularity for real-time applications, reducing latency and improving data processing efficiency. Energy efficiency is a key consideration for AI chip manufacturers, as AI applications consume vast amounts of power. AI chip lines include CPUs, GPUs, FPGAs, and ASICs, each optimized for specific applications. Ethical concerns around AI use are also driving the development of specific integrated chips for AI applications. AI technologies are being integrated into various industries, from healthcare to manufacturing, with applications ranging from image recognition to cognitive computing. Patent filings for AI technologies are on the rise, with companies seeking to protect their intellectual property. However, system failure and malfunctioning remain concerns, as AI systems can have significant impacts on businesses and individuals. The AI chip market is expected to continue growing, with applications in mobile phones, personal computers, gaming consoles, and embedded systems. The future of AI technologies lies in the integration of AI chips into various devices, from wearable devices to smart homes and connected cars, enabling personalized health, real-time analysis, and more. 

The Internet of Things (IoT) market is experiencing significant growth due to the advantages it offers in various industries such as 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 received without human intervention. To enable power-efficient data processing and machine learning computation in these devices, AI chips are being integrated. This trend is driving the demand for AI chips in the IoT market, enabling devices to perform complex tasks and improve overall efficiency. 

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 Market Challenges

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the increasing demand for AI technologies, including deep learning and machine learning, poses challenges for hardware components like AI chips. Advanced Micro and Nvidia lead the market with their AI chip lines, such as Trainium2 and A100 chip, respectively. These chips power AI algorithms and technologies, enabling applications like image recognition, pose detection, and behavioral patterns analysis. However, developing AI chips comes with challenges. Energy efficiency is crucial as AI applications require high computing power. Quantum computing and highbandwidth memory are potential solutions, but patent filings and system failure risks exist. AI data centers and centralized cloud servers face latency issues, necessitating edge computing and Edge devices. Ethical concerns surrounding AI use also arise. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, but energy efficiency and latency remain concerns. AI applications in healthcare, retail, finance, and automotive require real-time data processing, making AI chip lines, GPUs, FPGAs, CPUs, ASICs, and DSP essential. The future of AI lies in cognitive computing, machine intelligence, and AI data centers, but challenges persist in ensuring energy efficiency, reliability, and ethical use.The AI chips market is witnessing significant expansion due to the potential financial gains that businesses can reap from artificial intelligence. However, the absence of a sufficient workforce with specialized AI knowledge presents a substantial challenge to market growth. Companies must meticulously evaluate the integration of AI, considering its high research and development costs. The scarcity of skilled professionals in this field is currently the most significant barrier for enterprises looking to implement AI in their operations.

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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 market is witnessing significant growth due to the increasing adoption of application-specific integrated circuits (ASICs) in data centers. ASICs are customized chips that offer faster performance compared to GPUs and FPGAs. They are specifically designed for parallel processing, making them ideal for AI applications. Google’s Tensor Processing Unit (TPU) is a prime example of ASIC-based AI chips. TPU is a network of hardware and software that can learn specific tasks by analyzing large data sets. It is already being used in applications like Google Search and Google Street View. Data centers are incorporating TPUs at the back end of servers to manage data effectively. TPU’s instruction set allows TensorFlow programs to be changed, enabling the development of new algorithms. TensorFlow is an open-source machine learning library with a data flow graph structure, where nodes represent arithmetical operations, and edges denote multidimensional arrays. ASIC-based AI chips are expected to continue gaining market share due to their higher 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 adoption of AI technologies in various industries such as healthcare, retail, finance, automotive, and IoT devices. AI Chips are specialized hardware components designed to accelerate AI algorithms, including deep learning and machine learning. These chips are essential for powering AI applications in robotics, autonomous vehicles, and high-performance computing systems. The market includes various types of chips such as Specific Integrated Chips (SICs), CPUs, FPGAs, and GPUs. Advanced Micro, Trainium2 chip, and other players are developing innovative AI Chips to address the growing demand for AI hardware. AI Chips are also being integrated into quantum computing systems, cloud, and edge computing infrastructure. The market’s growth is driven by the increasing use of AI in various applications, such as generative AI, supercomputers, and highbandwidth memory. However, ethical concerns regarding AI technologies and the need for energy-efficient and cost-effective solutions pose challenges to the market’s growth. In summary, the AI Chips Market is poised for significant growth due to the increasing adoption of AI technologies in various industries and the development of specialized hardware components to accelerate AI algorithms. However, ethical concerns and the need for energy-efficient and cost-effective solutions present challenges to the market’s growth.

Market Research Overview

Artificial Intelligence (AI) Chips Market: Overview The Artificial Intelligence (AI) Chips Market is a rapidly growing sector that focuses on developing specialized hardware components to support AI algorithms, deep learning, and machine learning applications. These chips are designed to enhance the performance and energy efficiency of AI technologies, including quantum computing, neural networks, and cognitive computing. AI Chips are integral to various industries, including robotics, healthcare, retail, finance, automotive, and manufacturing, where real-time data processing and low latency are essential. The market includes a range of hardware components, such as CPUs, GPUs, FPGAs, ASICs, DSPs, and microcontrollers, each optimized for specific AI applications. Deep learning and machine learning algorithms require high computing power and large amounts of data processing. AI chips, such as the Trainium2 chip, are designed to address these requirements, offering high bandwidth memory and parallel computing capabilities. Advanced AI technologies, such as generative AI and large language models, are driving the demand for more powerful and energy-efficient chips. Edge computing and Edge devices are also gaining popularity, as they enable data processing closer to the source, reducing latency and increasing the speed of real-time applications. Ethical concerns surrounding AI and data privacy are also influencing the market, as companies invest in AI chip lines that prioritize security and data protection. The market is expected to continue growing, driven by the increasing adoption of AI technologies in various industries and the development of new AI applications, such as computer vision, pose detection, and behavioral pattern recognition. Patent filings and system failure or malfunctioning issues are ongoing challenges in the market, as companies race to innovate and improve the performance and reliability of their AI chips. The market is highly competitive, with players such as Nvidia, Ascend, and Microsoft Azure offering a range of AI chip solutions for various applications. In summary, the AI Chips Market is a dynamic and evolving sector, driven by the increasing adoption of AI technologies and the need for specialized hardware components to support their growing demands for high computing power, energy efficiency, and data processing capabilities. The market includes a range of hardware components, from CPUs and GPUs to FPGAs and ASICs, each optimized for specific AI applications and industries, including healthcare, retail, finance, automotive, and manufacturing. Ethical concerns, patent filings, and system reliability are ongoing challenges, but the market is expected to continue growing, driven by the increasing adoption of AI technologies and the development of new applications, such as computer vision, pose detection, and behavioral pattern recognition.

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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Driving Certainty Through Uncertainty: eclicktech’s Engineering Approach to Agentic AI

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May 9, 2026

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XI’AN, China, May 9, 2026 /PRNewswire/ — As generative AI moves from experimentation to enterprise deployment, the industry focus is shifting from model capability to operational reliability. The challenge is no longer simply building smarter AI, but ensuring AI systems can operate safely and consistently inside complex production environments.

eclicktech recently shared its internal engineering practices around Agentic AI, highlighting how the company is applying context engineering, multi-cloud infrastructure, and layered security frameworks to support enterprise-scale AI deployment.

To support global operations across more than 230 countries and regions, eclicktech built its Cycor platform around a multi-cloud architecture integrating AWS, Google Cloud, Alibaba Cloud, Tencent Cloud, Huawei Cloud, and other providers. According to the company, this approach improves infrastructure flexibility, reduces vendor lock-in risk, and enables more efficient orchestration of large-scale Kubernetes clusters and AI workloads.

eclicktech stated that one of the key lessons from early Agent development was that prompt engineering alone was insufficient for enterprise deployment. The company therefore shifted toward context engineering — an approach focused on delivering the right information, at the right time, while optimizing limited token resources.

Its engineering framework includes six layers of context management covering active sessions, short-term memory, long-term semantic storage, knowledge graphs, operational experience, and reusable organizational skills. The system also supports proactive context injection, allowing relevant operational history and risk information to be surfaced automatically before sensitive actions are executed.

To improve inference efficiency, eclicktech introduced layered token governance and progressive tool-loading mechanisms, dynamically loading tools and information only when required. The company said this approach helped improve tool selection accuracy and reduce unnecessary token consumption during complex operational workflows.

Security remains a core requirement throughout the architecture. eclicktech’s governance framework includes namespace isolation, dry-run verification, human approval workflows, rule-based validation, and rollback mechanisms designed to reduce operational risks associated with AI-driven automation.

According to eclicktech, the next stage of enterprise AI competition will depend not only on model capability, but also on engineering reliability, infrastructure orchestration, context management, and organizational knowledge systems.

Note: Certain technical information referenced in this article is derived from eclicktech’s internal engineering practices and is provided for industry reference purposes only.

View original content:https://www.prnewswire.com/apac/news-releases/driving-certainty-through-uncertainty-eclicktechs-engineering-approach-to-agentic-ai-302767441.html

SOURCE eclicktech

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How a Unified Monetization Solution Is Driving eCPM and Revenue Growth for Casual Games Worldwide

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2 hours ago

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May 9, 2026

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SINGAPORE, May 8, 2026 /PRNewswire/ — Casual, hyper-casual, and hybrid-casual games have become dominant categories in the global mobile market, making in-app advertising (IAA) a key driver of monetization success. However, many developers continue to face major challenges, including unstable fill rates, fluctuating eCPMs, difficulties balancing multiple regional markets, and the ongoing tradeoff between user experience and revenue growth.

To address these issues, zMaticoo has compiled a series of monetization case studies from leading game publishers and studios across China, Vietnam, Europe, and North America. These teams span hyper-casual, puzzle, board, card, and light-casual game categories, with DAUs ranging from millions to tens of millions. By adopting the same monetization framework, they achieved simultaneous growth in fill rate, eCPM, and ad revenue while maintaining stable user experience.

A common challenge among these teams was the shrinking monetization margin across global markets, creating an urgent need for sustainable revenue growth. At the same time, developers were cautious about over-monetization negatively impacting retention and player engagement.

To solve these challenges, zMaticoo introduced an AI-driven monetization system with full-funnel optimization capabilities. The platform connects developers directly to premium global advertiser budgets across both performance and brand advertising. AI models identify high-value traffic in real time based on region, audience, and usage scenarios, prioritizing high-eCPM demand sources. Separate bidding strategies are applied for mature and emerging markets to avoid revenue loss caused by one-size-fits-all pricing models.

The platform also provides refined ad format optimization:

Banner Ads: optimized display share and loading timing to improve SOV and stabilize eCPM;Interstitial Ads: precisely triggered during high-value moments such as level completion or pause screens, with especially strong premiums in emerging markets;Rewarded Video: deeply integrated into gameplay loops, delivering high user acceptance and conversion performance.

On the technical side, zMaticoo optimized SDK infrastructure to improve fill stability under weak network conditions. Ad loading time was reduced from five seconds to under two seconds through a rebuilt loading architecture. Progressive asset loading further minimized timeout-related drop-offs. AI-powered ad templates dynamically generated personalized creatives, improving both CTR and conversion performance.

The zMaticoo team also provides one-stop operational and analytics support. Developers can monitor fill rate, impressions, eCPM, and revenue through a unified dashboard, while dedicated optimization specialists provide 7×12 support for A/B testing, strategy iteration, and scaling guidance. The platform is deeply integrated with major mediation solutions, enabling one-time integration and multi-scenario deployment while reducing development and maintenance costs.

According to zMaticoo platform data:

In mature markets including the United States, Germany, Japan, and South Korea, banner eCPMs increased by 5%–10%, while interstitial premiums improved by over 5%;In emerging markets such as Brazil, Mexico, and Southeast Asia, interstitial eCPMs increased by more than 10%.

The monetization framework has demonstrated effectiveness across hyper-casual, puzzle, board/card, and utility app categories, supporting both rapid scale-up and long-term monetization stability.

Partner feedback includes:

“We are highly satisfied with the revenue uplift after integration. Our core products’ banner performance now ranks among the top tier.””Revenue recovered significantly after A/B testing, and we are expanding testing across more products.””One solution now supports multiple global markets without requiring separate monetization strategies for each region.””Interstitial monetization performance has been especially strong, with SOV reaching 10%–20% for several partners.”

zMaticoo believes successful monetization today is not about stacking more ad platforms, but about leveraging AI, technology, and refined operations to unlock long-term traffic value. Whether for hyper-casual publishers, puzzle game studios, or global mobile app companies, this AI-powered monetization framework is designed to deliver sustainable revenue growth while preserving user experience.

View original content:https://www.prnewswire.com/news-releases/how-a-unified-monetization-solution-is-driving-ecpm-and-revenue-growth-for-casual-games-worldwide-302767432.html

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Fox ESS Celebrates Strong Momentum with Integrated Solar Storage & Charging Solutions at Smart Energy 2026

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May 9, 2026

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SYDNEY, May 9, 2026 /PRNewswire/ — Fox ESS, a global leader in renewable energy solutions, attended Smart Energy 2026 during 6-7 May as a platinum sponsor. At the event, Fox ESS showcased its next-generation approach to solar storage and EV charging solution, delivering a seamless, future-ready energy experience for homeowners and installers across Australia.

Integrated Solutions Tailored for Aussie Homes

At Smart Energy 2026, Fox ESS highlighted its storage-to-charging solution, designed to make everyday energy use more convenient for local residents. With performance-led products and proven market traction, Fox ESS is set to play its part in building a more resilient energy future for Australia.

Battery Systems

Fox ESS continues to build momentum in the battery market. Sunwiz, an Australian solar consultancy, recently reported that Fox ESS ranked No.1 in March for installation capacity. And the company also revealed it has installed more than 25,000 systems in April. During the exhibition, Sunwiz presented Fox ESS with an award, recognising the company as Top Solar Company for Fastest Growing Battery.

CQ7 V6+ High Voltage Battery (42kWh and above)
Building on Fox ESS’ proven strengths, compact design and high capacity, CQ7 V6+ is well suited to medium-sized households and ensure the free use of electricity and maximize the self-consumption.EQ4800 High Voltage Battery (28kWh)
A reliable choice for smaller households, designed for efficient day-to-day energy storage.

Alongside its battery range, Fox ESS showcased all-in-one systems, including Stackable AIO and EVO, designed to simplify installation while maintaining a high standard of design and presentation.

Inverters

Fox ESS offers a range of inverters to suit local requirements, supported by up to 200% PV oversizing and a 10-year product warranty.

Single-phase: H1‑G2 (3–6kW); KH series (7–10.5kW)Three-phase: H3 Smart (5–15kW); H3 Pro (15–29.9kW); H3 Plus (50–125kW)

EV Chargers

With EV adoption accelerating, Fox ESS also offers EV charging solutions with solar linkage, designed to work across its inverter portfolio. The chargers provide robust, smart energy management, including dynamic load balancing to help protect home circuits.

A Series (7.3kW / 11kW / 22kW): IP65 and IK08 protection, OCPP-compliant.L Series (7.3kW / 11kW): straightforward installation with multiple colour options.

Big Battery Still Takes Centre Stage

As the Cheaper Home Battery Program moves into a new phase under an updated rebate policy, interest in larger battery systems continues to grow, particularly as more households consider EV upgrades amid rising fuel costs. More EVs typically mean households need greater energy availability, making higher-capacity storage an increasingly attractive option.

Looking ahead, from 1 July 2026, the Australian Government’s Solar Sharer Offer (SSO) will provide eligible households with three hours of free daily electricity to align with peak solar generation. Households with larger batteries will be well placed to make the most of this opportunity.

Fox ESS is also working with local VPP partners, including Amber Electric and Origin Loop VPP, helping homeowners unlock maximum value while supporting greater grid stability.

Maimai Comes Alive at the Exhibition

Visitors to the Fox ESS stand experienced a full programme of brand activations across the event. Following the online announcement, Sydney served as Maimai’s first physical stop, bringing the community together for face-to-face engagement. Attendees queued to take photos with the brand’s friendly and recognisable mascot.

Long-Term Commitment to Australia

Fox ESS has opened two local offices in Melbourne and Sydney, with more than 30 dedicated specialists supporting local customer needs. The company is also looking to play a wider role in Australia’s energy transition.

Notably, Ian Thorpe made his first in-person appearance at Fox Night, where he presented partners with awards. At the event party, Fox ESS also hosted a battery installation challenge, featuring eight rounds of competition, with the final winners receiving a range of prizes.

“We’re delighted to see such a strong result following the rollout of local policy. With nearly 400,000 Australian households now installing batteries, Fox ESS has played a key role, but this is only the beginning. We’re committed to keeping momentum and helping make a smarter, more reliable energy future a reality for more homes.” said Brooks Richard Geng, APAC & Middle East Managing Director, Fox ESS.

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