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Wearable Technology Market to Grow by USD 87.3 Billion from 2024-2028, Driven by Payment Wearables and AI Impacting Market Trends – Technavio Report

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NEW YORK, Sept. 9, 2024 /PRNewswire/ — Report on how AI is redefining market landscape- The global wearable technology market size is estimated to grow by USD 87.3 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 17.28%  during the forecast period. Popularity of wearable devices as a payment method is driving market growth, with a trend towards development of low-power electronics. However, rising penetration of counterfeit products  poses a challenge. Key market players include Alphabet Inc., Apple Inc., ASUSTeK Computer Inc., BAE Systems Plc, CINOPTICS, Citizen Watch Co. Ltd., Elbit Systems Ltd., Fossil Group Inc., Garmin Ltd., Huawei Technologies Co. Ltd., Kopin Corp., Lenovo Group Ltd., LG Electronics Inc., Magic Leap Inc., Polar Electro Oy, Samsung Electronics Co. Ltd., Sony Group Corp., Tex Ray Industrial Co. Ltd., Vuzix Corp., and Xiaomi Communications Co. Ltd..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Wearable Technology Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 17.28%

Market growth 2024-2028

USD 87.3 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

14.39

Regional analysis

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

Performing market contribution

North America at 42%

Key countries

US, China, Japan, Canada, and Germany

Key companies profiled

Alphabet Inc., Apple Inc., ASUSTeK Computer Inc., BAE Systems Plc, CINOPTICS, Citizen Watch Co. Ltd., Elbit Systems Ltd., Fossil Group Inc., Garmin Ltd., Huawei Technologies Co. Ltd., Kopin Corp., Lenovo Group Ltd., LG Electronics Inc., Magic Leap Inc., Polar Electro Oy, Samsung Electronics Co. Ltd., Sony Group Corp., Tex Ray Industrial Co. Ltd., Vuzix Corp., and Xiaomi Communications Co. Ltd.

Market Driver

The global wearable technology market is experiencing significant growth due to the increasing demand for advanced wearable devices, such as smartwatches, smart bands, smart rings, and Head-Mounted Displays (HMDs). To meet the requirements of these devices, there is a growing focus on developing high-performance and low-power-consumption electronic components. Chip manufacturers are responding to this trend by creating new processor architectures with large, small, and tiny cores, optimizing battery life and enhancing device reliability. The adoption of these low-power components, including sensors, processors, and batteries, is enabling vendors to introduce innovative features and improve the performance of their wearable electronics. As a result, the market for wearable technology is expected to expand during the forecast period. 

The wearable technology market is experiencing significant growth, driven by trends in mobile applications, digital health technology, and technological innovatness. Fitness-tracking wearables, such as wristbands, smartwatches, and ear-wearables, are popular among consumers seeking health self-efficacy and autonomy. MEMS sensors, GPS, and IMU are key components, enabling features like fall detection and gesture controls. Older populations benefit from wearables, especially those with fall detection and medical professionals use head-mounted displays for digital projections. Data security is a concern, but advancements in this area are ongoing. Wearable healthcare devices include swimmers, cyclists, runners, gym-goers, smart clothing, and IoT-based apparel. Gaming console producers and tablet manufacturers are entering the market, expanding the range of applications. Counterfeit products are a challenge, but efforts are being made to ensure authenticity. Overall, the market is diverse, catering to various user groups, including athletes and professionals. 

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 Market Challenges

The global wearable technology market faces a significant challenge from the proliferation of counterfeit devices. Counterfeits of popular products from major vendors, including Apple, Samsung, and Xiaomi, are prevalent in the market, particularly in APAC. Smartwatches and smart bands are the most frequently counterfeited items due to their appeal to local consumers. Consumers, knowingly or unknowingly, purchase these cheaper alternatives, impacting original device sales and market revenue. The distribution of counterfeit products extends to various channels, including retail stores, online platforms, and social media. These devices, priced significantly lower than originals, pose a threat to consumer privacy and security, as they may not adhere to the same security standards. The growth of the counterfeit market erodes the sales, reliability, and brand value of original products, potentially hindering the expansion of the global wearable technology market.Wearable technology market is witnessing significant growth, driven by the demand from adventure lovers and sports enthusiasts for Virtual Reality and Augmented Reality devices. The multimedia industry is also embracing smart hats and Spree Wearables for great experiences. In the consumer electronics segment, fitness bands and AR/VR headsets lead the way, with Pharma and Telehealth solutions exploring wearables for disease management and real-time health monitoring. IoT-enabled garments and electronic devices with small sensors and electronic displays are revolutionizing healthcare, benefiting patients and healthcare providers. The younger population’s purchasing power and technological literacy fuel the market’s expansion. Chronic diseases like cardiovascular disease and obesity present significant opportunities. Fitness enthusiasts and consumers seek benefits beyond health monitoring, including connectivity with mobile phones and payment services. The challenges include ensuring technological literacy, integrating clinical and non-clinical data, and addressing privacy concerns.

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Segment Overview 

This wearable technology market report extensively covers market segmentation by  

Product 1.1 Wrist-wear1.2 Eyewear and headwear1.3 Footwear1.4 Neckwear1.5 OthersApplication 2.1 Consumer electronics2.2 Healthcare2.3 Enterprise and industrial2.4 Entertainment2.5 OthersGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 Wrist-wear-  Wrist-wear, including smartwatches and smart bands, offer various functionalities for consumers. Smartwatches, such as Apple Watch, Samsung Galaxy Watch, and Fitbit Versa, provide features like making calls, messaging, health monitoring, and quick access to smartphone apps. OEMs like Xiaomi’s Poco have entered the market with less complex operating systems and competitive prices, targeting millions of potential customers. Partnerships and collaborations enable vendors to upgrade products with innovative features and expand market presence. For instance, the Poco Watch offers heart rate and SpO2 monitoring, a 225mAh battery, and a 5 ATM water resistance rating. Smart bands, like Fitbit Charge 4 and Garmin Vivosmart 4, monitor fitness, heart rate, sleep statistics, and calorie control. The growing awareness of health and fitness drives the demand for these devices, making it easier for consumers to lead active lifestyles. The market for wearable technology is expected to grow significantly due to the increasing applications of smartwatches and smart bands.

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Research Analysis

Wearable technology is revolutionizing the way we monitor and improve our health and fitness. From smartwatches and fitness trackers for runners, cyclists, and gym-goers, to swimmers’ devices and IoT-based apparel for healthcare professionals and patients, these electronic devices are transforming consumer behavior. Health monitoring solutions, including MEMS sensors, GPS, IMU, and heart rate monitors, are becoming increasingly popular among consumers seeking to enhance their health self-efficacy. Wristwear, such as fitness bands and smartwatches, with electronic displays and connectivity to mobile phones, enable real-time data tracking and analysis. However, the market also faces challenges, including counterfeit products and concerns around data privacy and security. The future of wearable technology lies in the integration of healthcare data and IoT-enabled garments, offering personalized and comprehensive health and fitness solutions.

Market Research Overview

Wearable technology is revolutionizing the way we monitor and manage our health, with various types of devices catering to different consumer groups. Smartwatches, fitness bands, and IoT-based apparel are popular among athletes, adventure lovers, and fitness enthusiasts, providing real-time health monitoring, connectivity to mobile phones, and fitness tracking. Wristwear, eyewear, and headwear, including smart hats and AR/VR headsets, offer multimedia experiences and virtual reality. Healthcare providers and patients benefit from wearable healthcare devices, such as medical monitoring solutions and telehealth services, which enable remote patient monitoring and disease management. The consumer electronics segment is driving the growth of wearable technologies, with benefits extending to older populations, fall detection, and gesture controls. However, concerns around data security and counterfeit products pose challenges to the industry’s growth. The younger population, with increasing purchasing power and technological literacy, is expected to fuel the demand for wearable technologies in the future. Small sensors, MEMS sensors, GPS, IMU, and digital health technology are key components of these devices, transforming the way we approach healthcare and fitness.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductWrist-wearEyewear And HeadwearFootwearNeckwearOthersApplicationConsumer ElectronicsHealthcareEnterprise And IndustrialEntertainmentOthersGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

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

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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 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

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

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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.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

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