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Global Battery Authentication ICs Market to Reach USD 1.18 Billion by 2030, Growing at a 9.3% CAGR | Valuates Reports

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BANGALORE, India, March 10, 2025 /PRNewswire/ — Battery Authentication ICs Market is Segmented by Type (WSON, SOT), by Application (Li-Ion, Li-Po, NiMH)

The Global Market for Battery Authentication ICs was estimated to be worth USD 635 Million in 2023 and is forecast to a readjusted size of USD 1176.4 Million by 2030 with a CAGR of 9.3% during the forecast period 2024-2030.

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Major Factors Driving the Growth of Battery Authentication ICs Market:

The Authentication ICs market is experiencing robust expansion driven by evolving security requirements in battery systems. Innovations in packaging technologies and integration of advanced ICs are improving product reliability and safety across various industries. The convergence of stringent regulations and rising consumer awareness is encouraging manufacturers to invest in enhanced authentication solutions. This market is marked by dynamic competition as companies strive to offer innovative products that address both cost efficiency and operational reliability. Strategic collaborations and investments further propel market growth by ensuring continuous development and adoption of secure battery technologies. Ultimately, these trends are setting new industry benchmarks and redefining the landscape for authentication ICs in the global market. Market leaders continue to innovate and drive growth.

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TRENDS INFLUENCING THE GROWTH OF THE BATTERY AUTHENTICATION ICs MARKET:

Surface-mount (SOT) packages are fundamentally enhancing the Battery Authentication ICs market by providing compact, reliable solutions that cater to evolving industry needs. Their minimized footprint and robust performance enable manufacturers to integrate secure authentication processes within battery systems without compromising on design or efficiency. This packaging format supports high-density circuit configurations, which are critical for modern devices requiring sophisticated security measures. Moreover, SOT packages improve thermal management and signal integrity, ensuring consistent operation under demanding conditions. Consequently, they facilitate higher reliability and safety standards, attracting investments from automotive, consumer electronics, and industrial sectors. The resulting market expansion reflects increased demand for secure battery systems globally. This progress significantly bolsters market competitiveness and drives future innovations in battery security solutions.

Wire Small Outline No-lead (WSON) packages are increasingly pivotal in advancing the Battery Authentication ICs market by offering a compact design that meets the rigorous demands of modern electronics. Their unique construction minimizes lead inductance and enhances electrical performance, making them ideal for integration in secure battery systems. WSON packages contribute to lower assembly costs and improved thermal performance, facilitating reliable operation even in challenging environments. This efficient packaging solution supports the trend towards miniaturization and high-performance security, thereby fostering innovation and market expansion. As industries seek cost-effective and durable solutions, WSON packages are gaining widespread acceptance across automotive, consumer, and industrial applications worldwide. Their growing popularity underscores the vital role they play in boosting system reliability and market performance.

Lithium-Ion (Li-Ion) batteries are critically propelling the growth of the Authentication ICs market by offering high energy density, long cycle life, and superior performance in demanding applications. Their widespread use in portable electronics, electric vehicles, and renewable energy systems has necessitated advanced authentication solutions to ensure battery integrity and safety. The integration of Li-Ion batteries with authentication ICs enhances system reliability by preventing unauthorized access and ensuring accurate monitoring. Furthermore, these batteries support rapid charging and consistent power delivery, driving industry innovations that bolster secure battery management. Consequently, the market benefits from improved operational efficiency, increased consumer trust, and the accelerated adoption of energy storage technologies worldwide. This synergy between Li-Ion technology and authentication solutions is revolutionizing industry standards globally.

Stringent safety standards and international regulations are driving the demand for robust authentication ICs in battery systems. Authorities are mandating higher levels of security and reliability to mitigate risks associated with battery failures and unauthorized access. This has compelled manufacturers to adopt advanced authentication solutions that not only comply with legal requirements but also enhance system performance. By aligning with regulatory guidelines, companies can avoid costly penalties and ensure consumer trust in their products. The rigorous oversight by governing bodies fosters an environment where continuous improvement in authentication technologies is prioritized, ultimately contributing to market growth and sustainable industry practices in the face of evolving safety challenges. This focus reinforces quality assurance and accelerates product acceptance globally.

Companies are increasingly prioritizing cost efficiency by streamlining production and integrating authentication ICs into battery systems. These initiatives reduce overall expenses while maintaining high-quality safety standards. Economies of scale and process optimization drive down manufacturing costs and improve product competitiveness in a saturated market. Businesses are adopting innovative strategies to balance cost with performance, ensuring secure battery solutions remain affordable for diverse applications. Enhanced cost control measures enable rapid scalability and efficient resource utilization, further reinforcing market growth. By focusing on cost efficiency, manufacturers can offer attractive pricing without compromising on quality, ultimately attracting a broader consumer base and encouraging long-term market sustainability across various industrial segments. Such initiatives drive profitability and foster a resilient market globally.

Significant capital investments are being directed towards improving quality assurance measures in authentication ICs for battery systems. Firms are allocating resources to upgrade production processes and implement rigorous testing protocols. These investments are aimed at ensuring product durability and safety while meeting strict international standards. Enhanced quality assurance frameworks foster customer confidence and mitigate risks related to system failures and security breaches. By bolstering product reliability, companies can achieve higher market penetration and sustain long-term growth. This strategic focus on quality assurance not only reinforces compliance with regulatory demands but also drives competitive differentiation, ultimately leading to improved brand loyalty and increased market share in an evolving global landscape. Such financial commitments are transforming industry perspectives.

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BATTERY AUTHENTICATION ICs MARKET SHARE

Asia-Pacific, in particular, stands out as a major hub for innovation and manufacturing, contributing substantially to market expansion.

Regions such as Europe and North America also maintain robust market presence, bolstered by investments in research and development.

Key Companies:

Analog DevicesTexas InstrumentsRenesas ElectronicsMicrochip TechnologySemtechAtmelMaxim IntegratedUNIT Electronics

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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–          The global market for Battery Charger Identification (BCID) ICs was estimated to be worth USD 635 Million in 2023 and is forecast to a readjusted size of USD 1176.4 Million by 2030 with a CAGR of 9.3% during the forecast period 2024-2030.

–          The global Automotive Lithium Battery Management Chip market was valued at USD 1500 Million in 2023 and is anticipated to reach USD 2599.4 Million by 2030, witnessing a CAGR of 8.2% during the forecast period 2024-2030.

–          Battery Monitoring Market

–          The global market for Battery Cell Authentication Solutions was valued at USD 861 Million in the year 2023 and is projected to reach a revised size of USD 1240 Million by 2030, growing at a CAGR of 5.6% during the forecast period.

–          The global Automotive Lithium Battery Management Chip market was valued at USD 1500 Million in 2023 and is anticipated to reach USD 2599.4 Million by 2030, witnessing a CAGR of 8.2% during the forecast period 2024-2030.

–          The global market for Battery Security ICs was estimated to be worth USD 635 Million in 2023 and is forecast to a readjusted size of USD 1176.4 Million by 2030 with a CAGR of 9.3% during the forecast period 2024-2030.

–          The global market for Battery Charger Identification (BCID) ICs was estimated to be worth USD 635 Million in 2023 and is forecast to a readjusted size of USD 1176.4 Million by 2030 with a CAGR of 9.3% during the forecast period 2024-2030.

–          The global market for Two-wheeler Battery Swapping Service was valued at USD 2323 Million in the year 2023 and is projected to reach a revised size of USD 13700 Million by 2030, growing at a CAGR of 17.1% during the forecast period.

–          The global market for Lithium Battery Management IC was estimated to be worth USD 40380 Million in 2023 and is forecast to a readjusted size of USD 69600 Million by 2030 with a CAGR of 8.1% during the forecast period 2024-2030.

–          The global market for Narrowband IoT Access Service was estimated to be worth USD 6340 Million in 2023 and is forecast to a readjusted size of USD 8820.9 Million by 2030 with a CAGR of 4.9% during the forecast period 2024-2030.

–          The global Powered Smart Cards market is projected to grow from USD 943.6 Million in 2024 to USD 1727.2 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 10.6% during the forecast period.

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Technology

BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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July 24, 2026

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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10 minutes ago

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July 24, 2026

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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July 24, 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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