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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..

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, 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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SOURCE Technavio

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Best Accounting Software for Medium-Sized Business UK (2026): QuickBooks Advanced Recognised as a Scalable Finance Platform for UK Mid-Market Businesses by Consumer365

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NEW YORK, May 9, 2026 /PRNewswire/ — As demand for scalable financial tools grows, attention is shifting towards the best accounting software for medium-sized businesses in the UK in 2026, as organisations face increasingly complex accounting requirements. Consumer365 has recognised QuickBooks as a cloud-based platform supporting more structured financial management, reflecting a wider focus on improving automation, visibility, and compliance readiness.

Best Accounting Software for Medium-Sized Business UK

QuickBooks – developed as a cloud-based accounting platform, it enables medium-sized businesses to manage financial operations, automate core accounting processes, and maintain compliance with UK regulatory requirements.

Growing Demand for Scalable Financial Systems in the UK Mid-Market

Medium-sized businesses in the UK are operating in an environment where financial management is becoming increasingly complex. Growth introduces additional reporting layers, heightened regulatory expectations, and the need for consistent financial oversight across departments.

Traditional accounting methods are often no longer sufficient under these conditions. Spreadsheet-based systems and entry-level tools can struggle to deliver accurate, timely insights. This creates visibility gaps that can impact planning and decision-making.

QuickBooks has been identified within this context as a platform designed to support more structured financial management. Its positioning reflects a broader shift towards systems that centralise financial data and reduce fragmentation across business operations.

QuickBooks Positioned as a Scalable Financial Platform

QuickBooks operates as a cloud-based accounting system developed by Intuit. It is designed to support businesses that require more than basic bookkeeping functionality, focusing on helping organisations manage financial processes in a more connected and scalable way.

A key aspect of its design is the ability to consolidate financial information within a single system. This allows businesses to manage invoicing, expenses, reporting, and cash flow tracking without relying on multiple disconnected tools.

The platform is also structured to support growth. As businesses expand, financial operations often become more distributed across teams. QuickBooks enables multiple users to work within the same system while maintaining structured access controls, helping ensure consistency and oversight as complexity increases.

Financial Visibility, Automation, and Operational Control

One of the central functions of QuickBooks is improving financial visibility across business operations. Real-time data access allows organisations to monitor cash flow, expenses, and overall financial performance without waiting for end-of-period reporting cycles.

Automation plays a significant role in reducing manual workload. Financial processes such as invoicing, transaction categorisation, and expense tracking can be streamlined, reducing reliance on repetitive manual input and supporting more consistent financial records.

Operational control is reinforced through structured user permissions. Businesses can assign access levels based on roles, ensuring financial data is managed securely while still enabling collaboration across departments. This structure is particularly relevant for medium-sized organisations where multiple teams interact with financial systems.

Integration, Compliance, and System Connectivity

QuickBooks is designed to integrate with a range of business tools commonly used by UK organisations. These include payroll systems, customer relationship management platforms, and other operational software. This level of connectivity helps ensure that financial data remains consistent across systems.

Compliance is also a core part of the platform’s structure. UK businesses must meet specific regulatory requirements, including VAT reporting and Making Tax Digital standards. QuickBooks includes features that support these obligations within the system, reducing the need for manual compliance processes.

By aligning financial reporting with regulatory standards, the platform helps organisations maintain accurate records while reducing the administrative burden associated with tax and compliance requirements.

Operational Impact and Long-Term Financial Structure

As businesses grow, financial systems often become central to overall operational structure. Decisions related to hiring, investment, and expansion rely on access to accurate and timely financial data. Systems that lack integration or real-time visibility can slow decision-making and introduce inefficiencies.

QuickBooks supports a more structured approach by centralising financial information. This reduces fragmentation and helps ensure consistency across the organisation. It also supports continuity, minimising the need for frequent system changes as businesses scale.

The platform is designed to adapt to increasing complexity over time. As transaction volumes grow and reporting requirements expand, it remains stable while accommodating additional users and workflows.

This approach aligns with the needs of medium-sized businesses transitioning from smaller-scale operations to more advanced financial environments.

Market Context and Financial Management Trends

The recognition of QuickBooks reflects broader developments in financial technology adoption among UK medium-sized businesses. Organisations are increasingly prioritising systems that improve efficiency while reducing operational complexity.

Financial management is no longer limited to recordkeeping. It has become a core business function that influences strategic planning and overall performance. As a result, platforms that provide integrated financial oversight are becoming more relevant across a wide range of industries.

QuickBooks fits within this shift by offering a system that combines core accounting functionality with workflow automation and reporting capabilities. This supports businesses that require both day-to-day financial management and longer-term planning tools.

The emphasis on scalability also reflects changing expectations in the mid-market sector. Businesses are seeking platforms that can grow with them, rather than systems that need to be replaced as operational requirements evolve.

Conclusion

Consumer365 has recognised QuickBooks as a relevant financial platform for medium-sized businesses operating in the UK in 2026. The recognition highlights its focus on scalability, financial visibility, and structured operational control.

The platform is positioned to support organisations as they move beyond basic accounting systems and adopt more integrated financial management structures. Its emphasis on automation, compliance support, and system connectivity aligns with the operational needs of growing businesses.

As financial complexity continues to increase across the mid-market sector, tools that centralise financial data and support real-time decision-making are becoming more widely adopted. QuickBooks represents one of the platforms contributing to this shift towards more structured financial management approaches.

To read the full review, please visit the Consumer365 website.

About Intuit

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Please visit us at Intuit.com and find us on social for the latest information about Intuit and our products and services.

About Consumer365.org: Consumer365 provides consumer news and industry insights. As an affiliate, Consumer365 may earn commissions from sales generated using links provided.

Disclaimer

Where AI content is used: This information is intended to outline our general product direction, but represents no obligation and should not be relied on in making a purchasing decision. Additional terms, conditions and fees may apply with certain features and functionality. Eligibility criteria may apply. Product offers, features, functionality are subject to change without notice.

General content disclaimer: This information is provided free of charge and is intended to be helpful to a wide range of businesses. Because of its general nature the information cannot be taken as comprehensive and they do not constitute and should never be used as a substitute for legal, accounting, tax or professional advice. Intuit cannot guarantee that the information applies to the individual circumstances of your business. Despite our best efforts it is possible that some information may be out of date.

Any reliance you place on information found on this site or linked to on other websites will be at your own risk. You should consider seeking the advice of independent advisers and should always check your decisions against your normal business methods and best practice in your field of business.

 

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SOURCE Consumer365.org

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BOE continues to launch new products and solutions in the field of high-end displays

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LOS ANGELES, May 9, 2026 /PRNewswire/ — 

1、Redefine Visual Experience with Scientific Standards! BOE Releases Core Research Findings on OLED Display Clarity-Legibility Index, Paving the Way for the Industry’s First Transparent Pro Standard to Deliver Supreme Visual Experience

With the rapid popularization of OLED display technology, basic screen indicators including resolution, color gamut and brightness keep improving. Meanwhile, display transparency — a core experience metric that determines visual comfort , image authenticity and premium visual quality — has drawn growing attention across the industry.

Recently, BOE has empowered the launch of the industry’s first flagship high-transparency OLED display panel, setting an industry-leading benchmark in four key dimensions: color, depth , clarity and dynamic range. It ushers high-end display into a new era, shifting from purely numerical technical specifications to ultimate user-centric visual experience.

In addition, BOE officially unveiled its in-depth research achievements on OLED display transparency. It has identified the core underlying factors affecting visual transparency through scientific research, pioneered the industry’s first display transparency index formula, and facilitated the release of the first authoritative evaluation standard for OLED display transparency. This marks an industry’s transformation from specs-oriented to experience-driven development. This marks a full-process breakthrough covering underlying technical analysis, scientifically guided image quality development and mass production application.

At present, the group standard 《Standard of Associations Organic light emitting diode display —Evaluation method for display clarity》, led and formulated by BOE based on relevant research outcomes, has been officially issued. As the world’s first dedicated evaluation standard focusing on OLED display transparency, it fills the long-standing industry gap in correlating subjective visual perception with objective image quality parameters.

Leveraging this standard and transparency research results, BOE has assisted partners in developing the industry’s first flagship high-transparency OLED screen. The company has built a comprehensive technical system for OLED visual transparency. Supported by cutting-edge technologies such as tandem, LTPO and high-precision Demura crosstalk optimization algorithms, BOE and its partners have carried out full-link optimization from display panels to end devices.

Going forward, BOE will continue to deepen research on display human factors engineering and visual experience. Through technological innovation and standard leadership, it will bring more ultimate, high-transparency premium display experiences to users worldwide.

2、BOE Beneficial “Natural” Light Technology (BNL): Solving Visual Health Pain Points and Leading the Display Industry Trend

In an era of ubiquitous displays, users are spending increasingly longer hours on screens. Nevertheless, the luminous properties of conventional displays poorly align with the human visual system, sparking widespread consumer concerns over visual health. To address such challenges, BOE draws inspiration from natural light. By deeply analyzing natural light and extracting beneficial features highly consistent with health and comfort, BOE established the Beneficial “Natural” Light Technology (BNL) architecture. Evolving from single technical upgrades to a systematic solution, BNL replicates the merits of natural light across four core dimensions: Depolarization Adjustment, Spectrum Optimization, Light Profile Optimization and Time-varying Adaptation, advancing display technology toward healthy viewing.

BNL & Visual Health

Depolarization Adjustment: The linearly polarized light of traditional displays causes targeted stimulation to retinal lutein, resulting in dry eyes, eyelid redness and other discomforts. Based on the mainstream Circular Polarization (QWP) solution, BOE BNL has developed a series of technologies like BSF/RDF Random Depolarization technology and un-Polarization,which convert linearly polarized light into randomly polarized light, enabling balanced lutein utilization across the entire visual field, and deliver natural-light-level eye protection.

Spectrum Optimization: Conventional narrow-band RGB spectra feature poor continuity and imbalanced energy distribution, with excessive high-energy blue light that induces eye strain and increases risks of macular damage. Beyond Low Blue Light solutions, BOE BNL has developed Natural-like Spectrum, Beneficial Red Light, Infrared Light and Circadian Rhythm technologies. Multiple clinical studies have verified that Beneficial Red Light and Infrared Light can effectively inhibit axial elongation and accelerate eye microcirculation.  BOE takes the lead in integrating such optics into displays,achieving a spectral distribution matching degree of over 60%, an energy ratio of Beneficial Red Light (650–670 nm) exceeding 50%, and independent on/off switching and energy adjustment of Infrared Light. Meanwhile, Circadian Rhythm technology regulates melatonin secretion to safeguard sleep quality. Shifting from passive harm reduction to active eye benefits, BOE BNL delivers all-round visual health protection.

Light Profile Optimization: Conventional screens are prone to surface reflection and glare, which interfere with visual recognition and cause cumulative eye fatigue. Powered by industry-leading Anti-Glare, Low Reflection and Wide Viewing Angle technologies, BOE BNL accurately simulates the diffuse reflection of natural light to deliver consistent visual comfort across diverse viewing angles. For instance, BOE UB Cell technology achieves a DGR value below 5 with negligible glare and reflection, ensuring sustained visual comfort.

Time-varying Adaptation: Conventional displays tend to produce low-frequency flicker and fixed brightness and color temperature that fail to adapt to ambient changes, forcing frequent eye muscle adjustments and leading to discomfort. By adopting Flicker Free and Light Self-adaptive technologies, BOE BNL delivers stable, ultra-smooth visuals that replicate the comfort of natural light.

SID 2026: BOE Launches New BNL Display Products

At SID Display Week 2026, BOE launched new BNL health display products. The highlight product is the industry’s first 13.8-inch BNL health display tablet. It integrates all four core dimensions,supported by 7 core BNL technologies, to deliver a healthy and comfortable visual experience.

As a global leader in the display industry, BOE has led the development and officially issued the world’s first “Natural Light” display standard via the Zhongguancun Standardization Association,and has jointly issued the White Paper on Natural Light Display Technologies (Engineering Considerations, Application Value and Challenges) with TÜV Rheinland to drive standardized and high-quality industrial development. In the future, BOE will continue to iterate on technologies, diversify product forms and application scenarios, advance the grading standards for Beneficial “Natural” Light displays, and protect users’ visual health.

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SOURCE BOE Technology Group Co., Ltd.

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BitradeX BXC First Two Subscription Rounds Sell Out, Total Subscriptions Exceed 14M USDT

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LONDON, May 9, 2026 /PRNewswire/ — BitradeX Capital’s ecosystem equity token, BXC, has completed its first and second subscription rounds, selling a total of 50 million BXC with subscriptions exceeding 14 million USDT. The first round sold out in 90 seconds, while the second closed within 48 hours.

While the fundraising size is not unusually large by crypto standards, the structure of the sale has attracted market attention. The first two rounds were not open to the public, but limited to high-tier BitradeX users. The first round was available only to V5 users and above, while the second round expanded access to V3 users and above.

According to BitradeX’s tier system, V3+ users typically have higher recurring investment activity through AiBot, longer platform usage history, and stronger ecosystem participation. This means the early BXC allocation was absorbed mainly by the platform’s internal high-value user base, rather than short-term speculative participants.

This approach differs from many token fundraising campaigns that prioritize broad public participation and market hype. BitradeX instead adopted a more selective, staged model, gradually lowering the participation threshold while keeping the sale within its active ecosystem community.

BXC is positioned as more than a standard platform token. Its value framework is linked to BitradeX Capital’s broader ecosystem, including its exchange business, AiBot quantitative strategies, BTX Card payments, and Labs incubation platform. Public information indicates that BXC holders may receive staking rewards, benefit from ecosystem buybacks and burns, and gain priority access to Launchpad projects and governance participation.

The third subscription round is launched on April 30 at $0.35 USDT per BXC, with a total supply of 100 million BXC. It is now open to users participating in AiBot recurring investment. The fourth round price is expected to rise to $0.45 USDT.

The long-term value of BXC will ultimately depend on the growth of BitradeX’s underlying businesses, including exchange profitability, AiBot user expansion, and BTX Card adoption. However, the rapid sellout of the first two rounds suggests that BitradeX’s core user base has already shown strong confidence in the ecosystem’s future.

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SOURCE BitradeX Capital

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