Technology
AI Chips Market to Grow by USD 389.25 Billion (2024-2028), Driven by Rising Adoption in Data Centers, Market Evolution Powered by AI – Technavio
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NEW YORK, Nov. 21, 2024 /PRNewswire/ — Report on how AI is driving market transformation – The global artificial intelligence (AI) chips market size is estimated to grow by USD 389.25 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 68.13% during the forecast period. Increasing adoption of ai chips in data centers 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., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., 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
2023
Historic period
2018 – 2022
Forecast period
2024-2028
Growth momentum & CAGR
Accelerate at a CAGR of 68.13%
Market growth 2024-2028
USD 389251.3 million
Market structure
Fragmented
YoY growth 2022-2023 (%)
53.8
Regional analysis
North America, Europe, APAC, South America, and Middle East and Africa
Performing market contribution
North America at 51%
Key countries
US, China, UK, Germany, and Taiwan
Key companies profiled
Advanced Micro Devices Inc., Alphabet Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., 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. Deep learning and machine learning algorithms require powerful hardware components like AI chips. Advanced Micro and Nvidia lead the market with their Trainium2 chip and A100 chip, respectively. Quantum computing and highbandwidth memory are the next frontiers. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI technologies. Edge computing reduces latency for real-time applications. AI chip lines, including CPU, GPU, FPGA, and ASICs, power data processing in centralized cloud servers and edge devices. Emerging trends include generative AI, cognitive computing, and image recognition. Ethical concerns are rising as AI is integrated into everyday life, from wearable devices to smart homes and connected cars. Energy efficiency is crucial as AI data centers grow. Patent filings for AI technologies are surging. ML and DL are key to computer vision, pose detection, and behavioral pattern analysis. AI applications in healthcare, elder care, and IoT devices are transforming industries. Industry 4.0 and smart manufacturing machines benefit from AI and parallel computing. Despite advancements, system failure and malfunctioning remain concerns. Mobile applications, health monitoring, and personalized health treatments are driving demand. ML and DL are essential for big data processing and AI applications. AI chips, GPUs, FPGAs, CPUs, DSPs, and microcontrollers power various applications, from graphic applications to frame buffer and display devices. Theoretical and algorithmic basis are crucial for visual understanding and human-like AI.
The Internet of Things (IoT) market is experiencing significant growth due to the numerous advantages it offers in various industries such as aerospace and defense, automotive, consumer electronics, healthcare, and others. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and more, are making decisions based on data they receive without human intervention. To enable power-efficient data processing and machine learning computation in these devices, IoT manufacturers are integrating Artificial Intelligence (AI) chips. This integration allows IoT devices to perform complex tasks and learn from data, enhancing their functionality and value to users. The demand for AI chips in IoT devices is expected to continue growing as the market expands.
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Market Challenges
Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the growth of AI technologies relies heavily on the development of efficient AI chips. These hardware components, including CPUs, GPUs, FPGAs, and ASICs, power deep learning and machine learning algorithms. Companies like Advanced Micro Devices and Nvidia are leading the AI chip market with their Trainium2 chip and A100 chip, respectively. However, challenges persist. Energy efficiency is a major concern as AI applications require high computing power, leading to increased energy consumption. Quantum computing and generative AI are pushing the boundaries of AI technologies, requiring even more powerful chips. Ethical concerns also arise as AI is integrated into various industries, from healthcare to manufacturing. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud are investing in AI data centers, while edge computing gains popularity for real-time applications. Edge devices, such as IoT devices and autonomous vehicles, require specific integrated chips for data processing. As AI applications expand, so do the challenges. System failure and malfunctioning are concerns for mobile applications, while big data requires advanced parallel computing capabilities. Patent filing and theoretical/algorithmic basis are crucial for the development of AI technologies. In conclusion, the AI chip market is evolving rapidly, with companies investing in high-performance chips to meet the demands of various industries. However, challenges such as energy efficiency, ethical concerns, and system failure must be addressed to ensure the continued growth of AI technologies.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 technical expertise in AI is posing a significant challenge to market growth. Companies are keen on integrating AI into their operations but face high research and development costs and the need for information from experienced AI professionals. The scarcity of talent with the necessary knowledge of AI technology is currently impeding the growth of enterprise AI applications.
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Segment Overview
This artificial intelligence (ai) chips market report extensively covers market segmentation by
Product1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user2.1 Media and advertising2.2 BFSI2.3 IT and telecommunication2.4 OthersGeography3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa
1.1 ASICs- Artificial Intelligence (AI) chips, specifically Application-Specific Integrated Circuits (ASICs), are becoming increasingly popular in data center applications due to their superior performance and speed. ASICs are customized, non-configurable chips that offer an instruction set and libraries for local data processing, acting as an accelerator for parallel algorithms. Google’s Tensor Processing Unit (TPU) is a prime example, designed for deep neural networks and already in use for Google Search and Google Street View. ASICs provide faster performance than GPUs, FPGAs, and CPUs, making them a preferred choice for data centers. TPUs have an instruction set that allows TensorFlow programs to be modified and new algorithms to be developed, making them a valuable asset for managing data effectively. The use of ASIC-based AI chips is expected to witness significant growth in the forecast period.
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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. Deep learning and machine learning algorithms are driving the demand for AI chips, which are specialized hardware components designed to accelerate AI computations. These chips are essential for robotics, quantum computing, and advanced AI applications. The market includes CPU, FPGA, GPU, System on Chip (SoC), and Multichip Module (MCM) solutions. AI chips are finding applications in sectors like healthcare, retail, finance, automotive, autonomous vehicles, IoT devices, and more. High-performance AI chips are crucial for training generative AI models and powering supercomputers. Ethical concerns surrounding AI are also fueling the development of specific integrated circuits. Key technologies include highbandwidth memory and Trainium2 chip. The market is evolving with the shift from cloud to edge computing.
Market Research Overview
Artificial Intelligence (AI) Chips Market: Overview The AI Chips Market is witnessing significant growth due to the increasing demand for advanced AI technologies such as deep learning and machine learning in various industries. AI chips are specialized hardware components designed to accelerate AI algorithms and technologies, including neural networks, quantum computing, and cognitive computing. These chips are essential for powering AI applications in robotics, computer vision, natural language processing, and other fields. The market for AI chips includes various types of hardware components, such as CPUs, GPUs, FPGAs, ASICs, DSPs, and microcontrollers. Companies are investing heavily in the development of AI chip lines, including Nvidia’s A100 chip, Ascend 910B chipset, and H200 chipset, to meet the growing demand for energy-efficient and high-performance AI solutions. AI applications are widespread across industries, including healthcare, retail, finance, automotive, and manufacturing. The use of AI in healthcare for health monitoring, health information access, personalized health, and treatment devices is gaining popularity, especially for the elderly population. In retail, AI is used for customer behavior analysis, inventory management, and personalized marketing. In finance, AI is used for fraud detection, risk assessment, and algorithmic trading. The automotive industry is also adopting AI technologies for autonomous vehicles, advanced driver assistance systems, and connected cars. The use of AI in manufacturing machines, smart homes, and IoT devices is increasing, leading to the growth of AI data centers and edge computing. However, ethical concerns surrounding AI and the potential for system failure or malfunctioning are major challenges for the market. The development of specific integrated chips and multichip modules is a potential solution to address these challenges. The AI Chips Market is expected to continue growing due to the increasing demand for real-time applications, low latency, and big data processing. The market is also being driven by the development of generative AI, large language models, and other advanced AI technologies. The use of AI in mobile applications, gaming consoles, and personal computers is also expected to drive market growth. In conclusion, the AI Chips Market is a rapidly growing market, driven by the increasing demand for advanced AI technologies and applications across various industries. The market is expected to continue growing due to the development of energy-efficient and high-performance AI solutions, the increasing use of AI in various industries, and the growing demand for real-time applications and low latency. However, ethical concerns and the potential for system failure or malfunctioning are major challenges that need to be addressed.
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 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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SOURCE Technavio
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LG INSTAVIEW™ REFRIGERATOR SURPASSES 5.3 MILLION IN GLOBAL SALES
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Chosen by Customers Worldwide, LG’s Instaview Refrigerator Innovation Continues to Redefine the Kitchen Experience a Decade After Its Debut
News Summary
LG Electronics’ InstaView™ refrigerator celebrates the 10th anniversary of its 2016 launch by exceeding 5.3 million units in cumulative global sales.LG’s iconic “Knock Twice, See Inside” feature broke convention, offering a blend of user convenience, energy efficiency, and aesthetic value that set a new industry standard.LG InstaView refrigerators continue to gain traction worldwide, leading the refrigerator category in North America while seeing significant growth across Europe, Asia and Latin America.Over the past decade, LG InstaView refrigerator has won numerous prestigious design and innovation awards, including Red Dot, iF, IDEA and CES.
SEOUL, South Korea, July 24, 2026 /PRNewswire/ — LG Electronics’ (LG) InstaView™ refrigerator, which allows users to see inside without opening the door, has reached a major milestone on its 10th anniversary, surpassing 5.3 million units in cumulative global sales since its 2016 launch.
Trusted by Consumers Around the World
Since launching the LG InstaView refrigerator in 2016, LG has sold a remarkable 5.3 million units – equivalent to selling roughly one unit every minute.
LG InstaView refrigerator has seen strong customer demand globally, with North America representing its strongest market and accounting for about 30 percent of cumulative sales to date. In Europe, InstaView refrigerator has also been well received by consumers who place high value on energy efficiency, sustainability and food preservation performance. Sales are also steadily rising in Asia and Latin America, driven by growing demand for premium appliances.
An Innovation That Redefined the Refrigerator
InstaView redefined how consumers interact with their refrigerators by allowing them to see inside without opening the door. This feature allows users to check the fridge’s contents without opening the door and helps reduce unnecessary cold-air loss associated with frequent door opening. Over the past decade, its innovation has been recognized by international media and honored with numerous accolades from major global design and innovation awards, including the Red Dot Design Award, iF Design Award, IDEA, and the CES Innovation Award.
From Functional Benefit to Lifestyle Value
LG’s analysis of global customer reviews shows that consumer appreciation for the InstaView refrigerator and its eponymous feature has evolved over time, shifting from an initial focus on the functional benefits to the overall sense of satisfaction that it provides. While early feedback centered on the convenience of knocking twice to see inside and the reduction of cold air loss, more recent reviews increasingly highlight InstaView’s refined design and the enjoyment it brings to everyday kitchen use.
“For a decade now, LG InstaView refrigerator has stood as a testament to our leadership in the home appliance market and to our deep understanding of customers’ lifestyles,” said Baek Seung-tae, president of the LG Home Appliance Solution Company. “This milestone reflects our success in creating not just an innovative feature, but a more convenient and enjoyable kitchen experience. Building on our advanced AI, refrigeration and food preservation technologies, we will continue to lead the evolution of the kitchen experience with customer-centric innovations.”
About LG Electronics Home Appliance Solution Company
The LG Home Appliance Solution Company (HS) is a global leader in home appliances and AI home solutions. By leveraging industry-leading core technologies, the HS Company is committed to enhancing consumers’ quality of life and promoting sustainability. The company develops thoughtfully designed kitchen and living appliance solutions and has recently integrated LG’s Robot Business Division to incorporate advanced robot technologies into its home solutions. Together, these products offer enhanced convenience, exceptional performance, efficient operation and sustainable lifestyle solutions. For more news on LG, visit www.LG.com/global/newsroom/.
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Alpha Ladder Hosts Globalization Forum, Debuts Proprietary AI Platform AgentX
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July 24, 2026By
HONG KONG, July 24, 2026 /PRNewswire/ — On 9 July, Alpha Ladder hosted a tech globalization forum at LEAP East 2026 in Hong Kong under the theme “Connecting Industrial Innovation, Unlocking New Global Growth Opportunities” — and used the occasion to officially unveil AgentX, its proprietary AI‑powered solution.
The session brought together more than a dozen distinguished speakers from sectors spanning artificial intelligence, embodied intelligence, biotechnology, fintech, enterprise services, and legal — all of whom shared first‑hand observations and practical experience navigating global expansion.
Paul Pang, Head of AI at Alpha Ladder, unveiled the Group’s new financial AI agent, AgentX, during the product launch. He observed that the rapid proliferation of AI agents has rendered traditional cross‑border financial delivery models ill‑suited to the evolving AI industry landscape. Conventional local plugin integrations carry significant risks, including code tampering, data leakage, and compromised asset security.
He also noted that expanding enterprises frequently face a persistent disconnect between their business tools and financial pipelines. Core operational systems — covering expense reimbursement, payroll, and account reconciliation — often operate in silos, isolated from cross‑border payment and treasury management frameworks. The resulting reliance on manual workflows leads to chronic inefficiency and inflated operating costs.
To tackle these industry pain points head‑on, Alpha Ladder introduced AgentX — a purpose‑built platform grounded in its proprietary AI‑native architecture. Powered by the Core Finance skill suite and the standardised MCP protocol, AgentX is compatible with all major large language models and enables AI agents to directly access Alpha Ladder’s full spectrum of cross‑border financial services.
The platform is further equipped with VisionX, an intelligent risk control engine that performs cross‑verification across multiple data sources to significantly sharpen the detection of on‑chain risks. A built‑in regulatory sandbox ensures full segregation of transactions and data within compliance boundaries, effectively closing critical security gaps that have long plagued the industry.
Beyond its core risk and compliance capabilities, AgentX offers extensive ecosystem adaptability, enabling rapid integration with vertical use cases such as travel reimbursement, global payroll, and asset management — creating a unified, closed‑loop framework that bridges business operations and finance. Through its open ecosystem model, AgentX empowers small and mid‑sized enterprises expanding globally by tearing down the silos between operational workflows and cross‑border financial services. In doing so, it delivers one‑stop, intelligent cross‑border financial services and drives comprehensive AI‑driven transformation across globalising industries.
Yao Yuan, Vice President of AgiBot for MENA, Turkey, and Asia Pacific, remarked that 2026 marks the year AgiBot transitions from R&D to commercial deployment. Having spent the previous three years honing its products and technology while consolidating its position in the domestic market, the company is now scaling up commercial operations and accelerating its global expansion.
He articulated three core pillars underpinning AgiBot’s global strategy. First, the company is moving to seize the critical window for mass industrial adoption as the embodied intelligence sector enters a new growth cycle. Second, humanoid robots are emerging as a key enabler of industrial upgrading and national digital transformation strategies across economies. Third, overseas deployment, data accumulation, and localized delivery are creating a valuable feedback loop — one that feeds back into domestic R&D and forms a closed loop connecting global technology development with commercial execution.
Luo Yi, General Manager of 51Aes South China (a subsidiary of 51World), shared that the company was officially listed on the Hong Kong Stock Exchange on 30 December 2025 under the ticker 6651.HK. Guided by its vision to digitally replicate the Earth’s 510 million square kilometres, 51World is committed to building a seamless bridge between the digital and physical worlds.
As the industry enters a new era of Physical AI, physically accurate digital simulation environments have become a fundamental prerequisite for large‑scale training of embodied intelligent systems. Leveraging three core pillars — global spatial foundation models, simulation training platforms, and synthetic data pipelines — the company has built a complete, closed-loop technology system. Its commercial portfolio comprises three flagship offerings: the 51Aes digital twin platform, the 51Sim synthetic data and simulation platform, and the 51Earth digital earth platform.
As the core engine powering Physical AI, 51Sim delivers high‑fidelity simulation training environments and robust synthetic data generation capabilities for embodied intelligence sectors including autonomous driving, smart equipment, and robotics. It enables efficient training and validation of AI systems within virtual environments and currently serves over 100 enterprise clients across autonomous mobility and embodied intelligence verticals. Looking ahead, the company will continue to deepen the integration of AI with the real economy, unlocking greater technological value and industrial impact across broader global markets.
Xu Leyang, Co‑founder of Seekee, observed that vast segments of the global population have yet to gain meaningful access to AI. With “everyday users” at the heart of its mission, Seekee is building accessible, consumer‑facing AI products tailored for the world’s two billion ordinary people.
The team has strategically focused on Latin America — an underserved blue‑ocean market largely overlooked by major tech players. Few leading global large language models have dedicated meaningful R&D or localisation efforts to Spanish and Portuguese, the region’s dominant languages. By capitalising on the region’s distinctive linguistic landscape, local user behaviour patterns, and a proprietary repository of region‑specific language data amassed over time, Seekee has built a competitive moat that is difficult to replicate.
According to Sensor Tower, a mobile analytics platform, Seekee ranked eighth globally in the 2025 generative AI app download charts. Within Latin America, its brand recognition is on par with ChatGPT. Launched just over a year ago, the platform has already amassed tens of millions of monthly active users and demonstrated strong user retention.
Wu Xin, Partner and Global Head of AI Applications at BorderX Lab, delivered a presentation themed “Power of Agent Plus.” Drawing on real‑world deployments within the fashion and luxury sectors, he explained that AI agents are fundamentally reshaping traditional cross‑border industries and unlocking significant efficiency gains across the entire value chain.
E‑commerce, he noted, is undergoing a paradigm shift. Competition has moved beyond capturing user attention to precisely identifying consumer intent, with AI agents emerging as a critical instrument for surfacing latent global consumption demand. Powered by proprietary technology and data infrastructure, BorderX Lab has built a global consumer network that is helping redefine how Chinese cross‑border consumer tech reaches the world.
He further observed that agent‑enabled payments will form the bedrock of agent‑driven e‑commerce, and expressed optimism about jointly exploring blue‑ocean opportunities with Alpha Ladder.
Yang Mingyuan, Senior Investment & Financing Manager at QCraft, observed that among the broader Physical AI landscape, autonomous driving stands out as the first segment to achieve mass production at scale, sustainable commercial profitability, and rapid real‑world deployment.
The company’s core competitive advantage lies in its unified, self‑developed technical foundation — one that underpins both its L2+ advanced driver assistance systems and its multi‑scenario L4 autonomous driving capabilities. This homologous architecture also serves as a strategic springboard for QCraft’s broader push into general Physical AI. Its fully in‑house toolchain and data platform form a formidable competitive moat, while the company’s “Autonomous Driving Super Factory” system standardises the entire model training and simulation testing lifecycle — covering the full data pipeline to enable continuous, high‑velocity iteration and optimisation of its algorithm models.
He Liang, Chief Financial Officer of Yidianyun, shared that the company — a leading domestic provider of office IT infrastructure — is now pivoting to become an office AI infrastructure enabler. Its mission is to lower the barrier to AI compute access for enterprises through remanufacturing technology and subscription‑based models.
Yidianyun has built a four‑tier business framework that underpins its cost and service advantages, with a strategic focus on edge‑side AI hardware across AI PCs, AI workstations, and AI servers. He noted that direct procurement of AI hardware entails substantial one‑off capital expenditure for small and medium‑sized enterprises. Subscription models, by contrast, significantly ease funding pressure and hedge against upfront investment risk — a key factor driving the rapid growth of its proprietary AI workstation business.
For overseas expansion, Yidianyun plans to launch pilot cross‑border operations from Hong Kong as its initial hub, with the potential to extend its reach to additional international markets in due course.
Liu Chenxin, Assistant to the Director of the National Institute of Biological Sciences, Beijing (NIBS), shared insights at the forum. With a strong track record in research commercialisation, NIBS has incubated a number of benchmark biopharma companies including Huahui Anjian, Vitaraylon, and Denovo Biotech. Drawing on years of translational experience, the institute has comprehensively upgraded its established commercialisation framework and officially launched BISON — a new innovation incubation hub designed to tackle the persistent high‑risk challenges inherent in biopharmaceutical investment through a unique translational model and commercial logic.
Unlike conventional technology‑driven incubation models, BISON places market demand at the core of its approach. It partners with leading tertiary hospitals to identify clinical pain points at the front end, while aligning with pharmaceutical companies at the back end to reverse‑engineer original drug pipelines based on industry needs. Looking ahead, BISON will continue to leverage its deep foundation in original research to incubate high‑value biopharmaceutical innovations, helping domestically developed first‑in‑class drugs reach global markets and supporting the international expansion of China’s biotech industry.
Lei Zhicheng, Deputy General Manager of Mango Finance Limited, observed that the institutional advantages of Hong Kong’s capital market, combined with deepening economic and trade ties with the Middle East, have opened up new channels for Chinese tech innovators to access global capital. Closely aligned with policy directions and enterprises’ internationalisation ambitions, Mango Finance is focused on listing incubation and cross‑border expansion services, fostering service synergies through close collaboration with a diverse network of professional partners.
As an established securities firm, the company is steadily expanding its digital finance footprint in step with regulatory developments. Lei expressed keen interest in establishing system‑level connectivity with Alpha Ladder, and leveraging AI and cutting‑edge digital technologies to accelerate the digital transformation and upgrade of traditional securities operations.
Kevin Chen, CEO of Boost Bank and Founder of Aicapay, observed that as the Belt and Road Initiative continues to gain momentum, emerging markets across Africa, the Middle East, and Latin America are undergoing rapid economic and industrial transformation. Combined with surging outbound investment and cross‑border trade from China, the cross‑border finance sector in these markets presents enormous growth potential.
Boost Bank specialises in building localised compliance frameworks. Backed by multi‑jurisdictional licences, on‑the‑ground risk control teams, and deep‑rooted local financial resources, the company has established a fully integrated, end‑to‑end cross‑border capital loop — delivering tailored, client‑specific solutions for enterprises expanding globally. Chen underscored the strong strategic complementarity between the two firms and signalled Boost Bank’s intent to join forces with Alpha Ladder in building a fintech service ecosystem that empowers Chinese companies to seize opportunities in emerging markets worldwide.
Yin Li, Partner at Shanghai Landi Law Firm, shared that the firm established its first overseas offices a decade ago, making it one of China’s early legal practices to focus on cross‑border corporate services. It provides Chinese enterprises with full‑spectrum legal support spanning overseas investment filing, intellectual property protection, and cross‑border capital repatriation.
Against a backdrop where overseas expansion has evolved from conventional trade to high‑value industrial globalisation — marked by the coordinated export of technology, production capacity, and capital — and given the strong alignment between Middle Eastern development agendas and the Belt and Road Initiative, Chinese enterprises pursuing comprehensive deployment in the region have generated robust demand for localised legal services. This, he noted, is the key driver behind the firm’s intensified focus on the Middle East market.
Yin emphasised that proactive compliance is the core moat for enterprises going global. Businesses must conduct thorough assessments of local regulatory and legal frameworks before entering overseas markets. Leveraging its “on‑the‑ground global presence” model — with coordinated teams across China and multiple international jurisdictions — the firm conducts advance due diligence to identify and mitigate legal risks inherent in cross‑border operations.
About Alpha Ladder:
Alpha Ladder is a Singapore-regulated fintech group focused on developing a world-leading, one-stop, fully compliant financial infrastructure — delivering secure, efficient cross-border financial solutions for enterprises going global. The Group holds core licences issued by the Monetary Authority of Singapore (MAS), covering securities, futures, fund management, custody, RWA asset exchange, and Major Payment Institution (MPI). We also maintain regulatory approvals in Canada, and are actively expanding our footprint across key global financial hubs including Switzerland, Dubai, and Hong Kong, building a globally compliant regulatory network. By leveraging AI to reshape compliance, risk management, and treasury operations, Alpha Ladder empowers enterprises to reduce costs, enhance efficiency, and achieve sustainable global growth.
For more information, please visit our official website: www.alphaladder.hk
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UOB Asset Management Highlights Global Resilience Despite Heightened Uncertainty
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July 24, 2026By
SINGAPORE, July 24, 2026 /PRNewswire/ — UOB Asset Management (UOBAM) has released its 3Q 2026 Quarterly Investment Strategy, highlighting the global economy’s resilience in the face of persistent headwinds, including inflation, tariffs, geopolitical tensions and energy market volatility.
Despite repeated challenges over the past 18 months, economic activity has remained robust. Corporate earnings have held up across major regions, labour markets have remained resilient, and continued investment in artificial intelligence (AI) infrastructure is providing a powerful tailwind for growth.
While uncertainty remains elevated, the global economy’s resilience has reinforced confidence that the current expansion remains durable, even as risks continue to evolve.
On interest rates, UOBAM’s base case is that the US Federal Reserve is more likely to remain on an extended pause than embark on a new rate-hiking cycle. Although inflation remains sticky and recent geopolitical developments have raised upside risks, the firm continues to see evidence of moderating underlying inflation pressures, particularly in housing and wages.
Within equities, UOBAM remains positive on Asia and has upgraded Onshore China to overweight from underweight. Despite strong market gains, Asia continues to trade at a valuation discount to global equities, even as earnings growth has accelerated. UOBAM believes this combination of strong earnings momentum and attractive valuations presents a compelling opportunity for investors. In China, improving industrial profits and continued growth in higher-value sectors have strengthened the investment case for selected areas of the market, particularly those linked to AI, semiconductors, energy infrastructure and advanced manufacturing.
Anthony Raza, Head of UOBAM Multi-Asset Strategy, said, “The key story for investors is that the global economy has repeatedly withstood shocks without derailing growth. Despite a more uncertain backdrop, we continue to see attractive opportunities in Asia, where strong earnings growth is supported by compelling valuations, and we maintain gold as a preferred allocation as investors navigate an increasingly complex environment.”
In its asset allocation strategy, UOBAM remains overweight equities, diversified across fixed income and underweight cash. The firm continues to favour the United States and Asia within equities, while retaining a positive outlook on gold. Supported by strong central bank demand and its role as a safe-haven asset during periods of uncertainty, gold remains an important source of portfolio diversification.
For deeper insights across equities, fixed income, currencies and commodities, read the full 3Q 2026 Investment Strategy: https://uobam.com.sg/qis3q26
About UOB Asset Management
UOB Asset Management Ltd (UOBAM) is a wholly-owned subsidiary of United Overseas Bank Limited. Established in 1986, UOBAM has 40 years of experience in managing collective investment schemes and discretionary funds in Singapore, making us among the largest unit trust managers by assets under management. As of 30 June 2026, we manage 63 unit trusts in Singapore and together with our subsidiaries, oversee S$44.3 billion in clients’ assets.
Headquartered in Singapore, UOBAM has a strong presence across Asia, with business and investment offices in Brunei, Indonesia, Japan, Malaysia, Thailand and Vietnam. Our network includes UOB Islamic Asset Management Sdn Bhd in Malaysia, a joint venture with Ping An Fund Management Company Limited (China) and strategic alliances with partners such as Wellington Management Singapore.
UOBAM is one of the region’s most awarded asset managers, with over 380 awards won. In 2025, we were recognised as the Best Regional Asset Management Company by the Asia Asset Management and previously named Best Asset Management House in Asia – 20 Years in 2023. Our digital innovation has also earned top honours, including Best Digital Wealth Management in Asia[1] and Best Robo Advisory Initiative[2] for four consecutive years as of 2025.
As a leader in sustainable investing, UOBAM was awarded Best application of ESG in ASEAN[3] (2023) and has received multiple sustainability accolades in Indonesia and Thailand. Our artificial intelligence capabilities were also recognised with the Most Innovative Application of Artificial Intelligence (ASEAN) for three consecutive years[4].
Connect with us: LinkedIn | Facebook
[1] Awarded by Asia Asset Management
[2] Awarded by The Digital Banker for the Global Retail Banking Innovations Award
[3] Awarded by Asia Asset Management
[4] As of 2026, by Asia Asset Management
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