Technology
Identity Verification Market to Grow by USD 16.92 Billion from 2024-2028, Increase in Digitalization with E-ID Cards and Smart Infrastructure Boost the Market, AI’s Impact – Technavio
Published
2 years agoon
By
NEW YORK, Feb. 5, 2025 /PRNewswire/ — Report on how AI is driving market transformation – The global identity verification market size is estimated to grow by USD 16.92 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 20.3% during the forecast period. Increase in digitalization with electronic id (EID) cards and smart infrastructure initiatives is driving market growth, with a trend towards growing adoption of bring your own device (byod) among enterprises. However, privacy and security concerns of data transferred through iot poses a challenge. Key market players include Equifax, Inc., Jumio, Thales Group, TransUnion, Experian, Trulioo, Onfido, Shufti Pro, Mitek Systems, Inc., DocuSign, Inc., Applied Recognition Corp., Authenteq Tarbena GmbH, GB Group plc, Gen Digital Inc., ID Merit, Intellicheck Inc., Khosla Labs Pvt. Ltd., Mastercard Inc., PXL Vision AG, Lexisnexis Risk Solutions Inc.
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Identity Verification Market Scope
Report Coverage
Details
Base year
2023
Historic period
2018 – 2022
Forecast period
2024-2028
Growth momentum & CAGR
Accelerate at a CAGR of 20.3%
Market growth 2024-2028
USD 16922.8 million
Market structure
Fragmented
YoY growth 2022-2023 (%)
16.35
Regional analysis
North America, APAC, Europe, South America, and Middle East and Africa
Performing market contribution
North America at 32%
Key countries
US, Australia, UK, Canada, and Germany
Key companies profiled
Equifax, Inc., Jumio, Thales Group, TransUnion, Experian, Trulioo, Onfido, Shufti Pro, Mitek Systems, Inc., DocuSign, Inc., Applied Recognition Corp., Authenteq Tarbena GmbH, GB Group plc, Gen Digital Inc., ID Merit, Intellicheck Inc., Khosla Labs Pvt. Ltd., Mastercard Inc., PXL Vision AG, Lexisnexis Risk Solutions Inc.
Market Driver
The Identity Verification Market is witnessing significant growth due to increasing security risks associated with online transactions and the digitalization of various industries. Businesses in finance, healthcare, emerging markets, and border controls are adopting advanced verification techniques such as artificial intelligence (AI) and biometric technologies to secure digital identities. AI and machine learning (ML) are being used for data analysis and fraud detection, while biometric checks include facial recognition, fingerprint recognition, and liveness detection. Identity-related theft incidents continue to rise, making security measures a top priority. Self-service identity verification, multi-factor authentication, and data-driven verification methods are becoming increasingly popular. The BFSI industry, e-commerce, gaming, and cryptocurrency exchanges are major sectors investing in identity verification systems to meet Anti-Money Laundering (AML) requirements and ensure customer confidence. Traditional non-biometric solutions are being replaced with more efficient and secure biometric devices, including cameras, microphones, GPS functionalities, and mobile devices. Regulations, such as cloud-based deployment and data privacy concerns, are driving the need for secure IT infrastructure and technical expertise. Security personnel and system integrators are in high demand to address cyber threats and ensure regulatory compliance. Emerging technologies like intelligent border control, real-time verification, and diverse data sources are shaping the future of identity verification. The industry is expected to continue growing as businesses and governments prioritize data security and fraud mitigation tools.
In today’s business landscape, the Bring Your Own Device (BYOD) trend is gaining popularity among enterprises. This shift towards a mobile-first, web next scenario allows employees to access their privileged accounts through mobile devices, enhancing productivity and morale. Privileged users, also known as admin users, hold significant authority in managing backend functions of a system. They can set up, modify, and delete accounts, alter user roles, change system settings, and access sensitive data. As enterprises adopt this mobile-first approach, the demand for identity verification solutions to secure these privileged accounts is escalating.
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Market Challenges
The Identity Verification Market is facing several challenges in today’s digital world. With the increase in online transactions and the growing use of digital identities, security risks are on the rise. Verification techniques such as artificial intelligence (AI) and biometric technologies are being adopted to mitigate these risks, but they come with their own set of challenges. Finance and healthcare industries, in particular, are under pressure to ensure security measures are in place to prevent identity-related theft incidents. Emerging markets and businesses are embracing digitalization and automation, leading to an increase in internet usage and eCommerce. However, the lack of awareness and technical expertise among businesses and security personnel pose significant risks. Breaches and cyber threats are becoming more frequent, leading to potential losses and damage to customer confidence. Government agencies and corporations are investing in intelligent border control and self-service identity verification to enhance security. Biometric devices such as facial recognition, video analytics, and liveness detection are being used for real-time verification. However, the use of these technologies raises data privacy concerns and regulatory compliance requirements. The financial sector, in particular, is under pressure to comply with Anti-Money Laundering (AML) regulations and prevent fraudulent activities through data-driven verification methods and multi-factor authentication. The emergence of blockchain-based identity verification and biometric checks is expected to address some of these challenges. However, the Identity Verification Industry also faces challenges in implementing security measures in diverse data sources, such as facial verification, phone verification, and cryptocurrency exchanges. Fraud mitigation tools and machine learning models are being used to detect and prevent identity-related fraud and cybercrime. Industry-specific requirements and data analysis are crucial for effective fraud detection and regulatory compliance. In conclusion, the Identity Verification Market is undergoing significant changes due to digitization initiatives and emerging technologies. Security measures, data privacy concerns, and regulatory compliance are key challenges that need to be addressed to ensure the safety and efficiency of identity verification systems. Businesses and organizations must invest in security training, consulting, and system integrators to stay ahead of cyber threats and maintain customer trust.In today’s security-challenged world, ensuring complete data security is an elusive goal. The proliferation of Internet of Things (IoT) systems poses significant risks, as these systems connect machines and people, increasing potential entry points for hackers. Customized software modules used in IoT devices create additional interfaces, making entire systems more vulnerable. Sensitive data transferred through these devices is critical and must be protected. The rise in connected devices necessitates identity verification solutions to mitigate risks and safeguard data. Organizations must invest in advanced identity verification technologies to secure their IoT systems and protect their valuable information.
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Segment Overview
This identity verification market report extensively covers market segmentation by
ComponentSolutionsServicesTypeLarge EnterprisesSMEsBiometricNon-biometricGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And AfricaApplicationKYC, KYB, And OnboardingAccess Control And User MonitoringIdentity Fraud Compliance And ForensicsDeployment ModeCloudOn-premises
1.1 Solutions- Identity verification solutions are essential for businesses to authenticate the identity of users or customers. These solutions ensure that the person completing a process is the true owner of the provided information, preventing unauthorized access, false identities, and fraud. Offline methods include face-to-face verification, where individuals present themselves in person at a company location or institution. Online methods include multi-factor authentication, biometric verification, and document verification. The global market for identity verification solutions is projected to expand due to the increasing need for secure and reliable identity verification processes.
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Research Analysis
The Identity Verification Market is witnessing significant growth due to the increasing number of online transactions and the need to secure digital identities. With the rise of emerging technologies like artificial intelligence (AI) and biometric technologies, verification techniques are becoming more sophisticated and efficient. The finance and healthcare sectors are major contributors to this industry, with strict regulations and AML requirements driving the demand for identity verification solutions. However, the increasing risk of data breaches and cyberattacks poses a significant challenge, making data privacy concerns and cybersecurity needs top priorities. In emerging markets, where internet penetration is growing rapidly, identity verification is essential for businesses to mitigate risks and comply with regulations. On-premise solutions are also gaining popularity, especially in lower-income countries, to provide secure and accessible identity verification services. Blockchain-based identity verification is another emerging trend, offering enhanced security and decentralization. Overall, the Identity Verification Industry is a critical component of the digital economy, ensuring secure and authentic transactions while addressing the evolving security risks and regulatory requirements.
Market Research Overview
The Identity Verification Market is a rapidly growing industry that addresses the security risks associated with online transactions and the management of digital identities. With the increasing use of digital services in finance, healthcare, emerging markets, and businesses, there is a growing need for advanced verification techniques to ensure security and prevent identity-related theft incidents. Artificial intelligence (AI) and biometric technologies, including facial recognition, video analytics, and liveness detection, are becoming increasingly popular for identity verification. These technologies offer efficiency, security, and accuracy, making them essential for industries such as finance, healthcare, border controls, and smart cities. However, the lack of awareness and potential losses from breaches and cyber threats necessitate security measures, including security personnel, training, consulting, and system integrators. The industry also faces challenges from regulatory compliance, cybercrime, and digitization initiatives. Emerging technologies like machine learning (ML) and blockchain-based identity verification are expected to play a significant role in the future of identity verification. The market is diverse, encompassing various sectors, including BFSI, government & defense, healthcare & life sciences, retail & e-commerce, energy & utilities, IT & ITES, and more. Identity verification is crucial for industries dealing with confidential data, client financial details, login credentials, and personal identifiers. The market is expected to grow significantly due to the increasing need for real-time verification, diverse data sources, and fraud detection expertise.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
ComponentSolutionsServicesTypeLarge EnterprisesSMEsBiometricNon-biometricGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And AfricaApplicationKYC, KYB, And OnboardingAccess Control And User MonitoringIdentity Fraud Compliance And ForensicsDeployment ModeCloudOn-premises
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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Technology
Truth-seeking: the Turning Point in Zunyi
Published
31 minutes agoon
October 19, 2026By
BEIJING, Oct. 18, 2026 /PRNewswire/ — An interview from China.org.cn with Wang Xiaohui and David Ferguson on the Long March:
Wang Xiaohui:
When you march toward your ideals but encounter repeated setbacks and failures, do you have the courage to pause, reflect on the path taken, and chart a new way forward?
David Ferguson:
If I continually encountered setbacks on the road to my ideals, I would stop and reflect seriously on whether my methods need adjusted or my direction needs corrected. This is a matter of being honest with oneself and honest about one’s shortcomings. Granted, this requires as much courage as setting out in the first place — because what you have to confront is not only the judgment of others, but your own ingrained reluctance to accept that you might have got it wrong.
Wang Xiaohui:
The waters of the Xiangjiang River ran crimson in the winter of 1934.
To cover the Red Army’s main force as they crossed the river, Chen Shuxiang, then Commander of the 34th Division of the Fifth Army Corps, led his troops to fight against vastly superior enemy forces until they ran out of ammunition and supplies. Severely wounded, Chen was captured alive. On the way to the enemy camp to be paraded for merit, Chen seized a moment of the enemy’s unawareness, tore his own intestines through his abdominal wound, and died a heroic death. He was only 29 years old.
The Battle of Xiangjiang River was the deadliest campaign for the Red Army since the start of the Long March. In less than two months, their troop strength plummeted from over 86,000 to just over 30,000.
At that critical moment, doubts and discontent among officers and soldiers with the military leadership peaked.
During the fights against the previous four Kuomintang (KMT) “encirclement” campaigns, the Red Army adopted Mao Zedong’s strategy of “luring the enemy in deep.” With flexible tactics in mobile warfare, the Red Army worked miracles of defeating superior enemies time and again. Yet, the tide turned completely during the KMT’s fifth “encirclement.”
At that time, the CPC was a branch of the Communist International (Comintern). After 1927, the Comintern instructed the CPC to adopt an urban-centered path in its revolution, for it was how Russia’s October Revolution had achieved victory. Affected by this directive, during the Fifth Counter-Campaign against “Encirclement and Suppression”, Bo Gu and Otto Braun, who held actual command of the Red Army, insisted on launching offensive operations to seize major cities.
Otto Braun also mechanically applied European conventional warfare tactics, forcing the Red Army into rigid positional and fortress battles. In the Battle of Guangchang, the poorly equipped Red Army fought head-on against enemy tanks and artillery on open terrain, resulting in more than 5,000 casualties, about one-fourth of all participating troops.
Successive military defeats forced the Red Army to launch a strategic shift. However, Bo Gu and Otto Braun insisted that everything be evacuated, including heavy equipment: printing presses, currency-making machines, and arms-manufacturing facilities… When crossing the Xiangjiang River, troops were slowed down by these cumbersome supplies, and numerous soldiers even laid down their lives for protecting these assets. Chen Shuxiang and his 34th Division wrote the gravest footnote to this bloody sacrifice.
By the banks of the Xiangjiang River, the spark of hope in the eyes of the Red Army soldiers was nearly quenched by the cold water. Could the rigid foreign doctrines truly guide the Red Army and China’s revolution? What path lay ahead?
History often unfolds in paradoxes: when all hope seems lost, a historical turning point is quietly emerging.
After the Battle of Xiangjiang River, Mao firmly opposed the original plan drafted by Bo Gu and Otto Braun to march towards Hunan. Instead, he proposed to advance to Guizhou where enemy defenses were weak. There, the Red Army broke through the natural barrier of the Wujiang River, and captured Zunyi. On Jan. 15, 1935, the CPC Central Committee convened an enlarged Political Bureau meeting in an old mansion, later known to the world as the Zunyi Conference.
Inside the modest living room on the second floor, a charcoal brazier expelled the winter chill. The CPC leadership sat around a long table to review why the Red Army had fallen into passive positions since 1933. Bo Gu attributed the defeats solely to the enemy’s overwhelming strength, while other leading officials like Zhou Enlai and Zhang Wentian pinpointed flawed military command as the fundamental cause.
Mao Zedong also made a pivotal speech.
As a revolutionary forged in rural base-area practice, Mao always sought truth from real combat experience. Citing victories from the previous four counter-“encirclement” campaigns, he rebutted Bo Gu’s opinions and criticized the flawed strategies of passive defense and abandoning mobile warfare tactics. In plain, incisive language, he pointed out that “the soldiers also needed to march, eat and sleep,” and that Braun’s rigid commands were completely divorced from the realities of China’s revolutionary warfare.
Throughout the whole meeting, Bo Gu remained dejected; Braun sat near the door and lit one cigarette after another. Never had these “true Bolsheviks” faced such rigorous criticism before.
The intensive confrontation lasted three days. In the end, Mao Zedong was elected to the leadership of the Red Army and the CPC Central Committee, putting an end to the wrong guidance. This marked a life-and-death turning point in the history of the Communist Party of China.
The Zunyi Conference freed the CPC from the Comintern’s intervention, enabling the Party to independently master the destiny of China’s revolution. From then on, the Red Army turned peril into safety, and China’s revolution emerged from despair toward new life.
David Ferguson:
When faced with major setbacks, the Communist Party of China was not crushed; instead, it demonstrated the courage to confront and correct its own mistakes, thereby turning adversity into opportunity. For any ruling party, this kind of courage is exceptionally rare.
Throughout history, guided by the principle of seeking truth from facts, the Party has always corrected errors, updated systems and adjusted course. By doing so, it has guaranteed social progress. This is precisely the secret to success that has made the Party resilient and invincible.
Wang Xiaohui:
No grand undertaking advances without setbacks. Faced with obstacles and defeats, the CPC demonstrated extraordinary courage and wisdom. They sought truth from facts, corrected wrong courses, and led the revolution towards triumph.
The Zunyi Conference Spirit, embodied in firm conviction, adherence to truth, independence and self-reliance, solidarity and unity, was forged amid blood and fire. It has shaped the unique spiritual character of the CPC. In the years that followed, these timeless values continued to evolve and sustain the Party in the face of trials and challenges, endowing it with enduring vitality.
China Mosaic
http://www.china.org.cn/video/node_7230027.htm
Faith: The Spark Born by the Yudu Riverside
http://www.china.org.cn/2026-10/17/content_118737624.shtml
View original content to download multimedia:https://www.prnewswire.com/news-releases/truth-seeking-the-turning-point-in-zunyi-302912139.html
SOURCE China.org.cn
Technology
Truth-seeking: the Turning Point in Zunyi
Published
31 minutes agoon
October 19, 2026By
BEIJING, Oct. 18, 2026 /PRNewswire/ — An interview from China.org.cn with Wang Xiaohui and David Ferguson on the Long March:
Wang Xiaohui:
When you march toward your ideals but encounter repeated setbacks and failures, do you have the courage to pause, reflect on the path taken, and chart a new way forward?
David Ferguson:
If I continually encountered setbacks on the road to my ideals, I would stop and reflect seriously on whether my methods need adjusted or my direction needs corrected. This is a matter of being honest with oneself and honest about one’s shortcomings. Granted, this requires as much courage as setting out in the first place — because what you have to confront is not only the judgment of others, but your own ingrained reluctance to accept that you might have got it wrong.
Wang Xiaohui:
The waters of the Xiangjiang River ran crimson in the winter of 1934.
To cover the Red Army’s main force as they crossed the river, Chen Shuxiang, then Commander of the 34th Division of the Fifth Army Corps, led his troops to fight against vastly superior enemy forces until they ran out of ammunition and supplies. Severely wounded, Chen was captured alive. On the way to the enemy camp to be paraded for merit, Chen seized a moment of the enemy’s unawareness, tore his own intestines through his abdominal wound, and died a heroic death. He was only 29 years old.
The Battle of Xiangjiang River was the deadliest campaign for the Red Army since the start of the Long March. In less than two months, their troop strength plummeted from over 86,000 to just over 30,000.
At that critical moment, doubts and discontent among officers and soldiers with the military leadership peaked.
During the fights against the previous four Kuomintang (KMT) “encirclement” campaigns, the Red Army adopted Mao Zedong’s strategy of “luring the enemy in deep.” With flexible tactics in mobile warfare, the Red Army worked miracles of defeating superior enemies time and again. Yet, the tide turned completely during the KMT’s fifth “encirclement.”
At that time, the CPC was a branch of the Communist International (Comintern). After 1927, the Comintern instructed the CPC to adopt an urban-centered path in its revolution, for it was how Russia’s October Revolution had achieved victory. Affected by this directive, during the Fifth Counter-Campaign against “Encirclement and Suppression”, Bo Gu and Otto Braun, who held actual command of the Red Army, insisted on launching offensive operations to seize major cities.
Otto Braun also mechanically applied European conventional warfare tactics, forcing the Red Army into rigid positional and fortress battles. In the Battle of Guangchang, the poorly equipped Red Army fought head-on against enemy tanks and artillery on open terrain, resulting in more than 5,000 casualties, about one-fourth of all participating troops.
Successive military defeats forced the Red Army to launch a strategic shift. However, Bo Gu and Otto Braun insisted that everything be evacuated, including heavy equipment: printing presses, currency-making machines, and arms-manufacturing facilities… When crossing the Xiangjiang River, troops were slowed down by these cumbersome supplies, and numerous soldiers even laid down their lives for protecting these assets. Chen Shuxiang and his 34th Division wrote the gravest footnote to this bloody sacrifice.
By the banks of the Xiangjiang River, the spark of hope in the eyes of the Red Army soldiers was nearly quenched by the cold water. Could the rigid foreign doctrines truly guide the Red Army and China’s revolution? What path lay ahead?
History often unfolds in paradoxes: when all hope seems lost, a historical turning point is quietly emerging.
After the Battle of Xiangjiang River, Mao firmly opposed the original plan drafted by Bo Gu and Otto Braun to march towards Hunan. Instead, he proposed to advance to Guizhou where enemy defenses were weak. There, the Red Army broke through the natural barrier of the Wujiang River, and captured Zunyi. On Jan. 15, 1935, the CPC Central Committee convened an enlarged Political Bureau meeting in an old mansion, later known to the world as the Zunyi Conference.
Inside the modest living room on the second floor, a charcoal brazier expelled the winter chill. The CPC leadership sat around a long table to review why the Red Army had fallen into passive positions since 1933. Bo Gu attributed the defeats solely to the enemy’s overwhelming strength, while other leading officials like Zhou Enlai and Zhang Wentian pinpointed flawed military command as the fundamental cause.
Mao Zedong also made a pivotal speech.
As a revolutionary forged in rural base-area practice, Mao always sought truth from real combat experience. Citing victories from the previous four counter-“encirclement” campaigns, he rebutted Bo Gu’s opinions and criticized the flawed strategies of passive defense and abandoning mobile warfare tactics. In plain, incisive language, he pointed out that “the soldiers also needed to march, eat and sleep,” and that Braun’s rigid commands were completely divorced from the realities of China’s revolutionary warfare.
Throughout the whole meeting, Bo Gu remained dejected; Braun sat near the door and lit one cigarette after another. Never had these “true Bolsheviks” faced such rigorous criticism before.
The intensive confrontation lasted three days. In the end, Mao Zedong was elected to the leadership of the Red Army and the CPC Central Committee, putting an end to the wrong guidance. This marked a life-and-death turning point in the history of the Communist Party of China.
The Zunyi Conference freed the CPC from the Comintern’s intervention, enabling the Party to independently master the destiny of China’s revolution. From then on, the Red Army turned peril into safety, and China’s revolution emerged from despair toward new life.
David Ferguson:
When faced with major setbacks, the Communist Party of China was not crushed; instead, it demonstrated the courage to confront and correct its own mistakes, thereby turning adversity into opportunity. For any ruling party, this kind of courage is exceptionally rare.
Throughout history, guided by the principle of seeking truth from facts, the Party has always corrected errors, updated systems and adjusted course. By doing so, it has guaranteed social progress. This is precisely the secret to success that has made the Party resilient and invincible.
Wang Xiaohui:
No grand undertaking advances without setbacks. Faced with obstacles and defeats, the CPC demonstrated extraordinary courage and wisdom. They sought truth from facts, corrected wrong courses, and led the revolution towards triumph.
The Zunyi Conference Spirit, embodied in firm conviction, adherence to truth, independence and self-reliance, solidarity and unity, was forged amid blood and fire. It has shaped the unique spiritual character of the CPC. In the years that followed, these timeless values continued to evolve and sustain the Party in the face of trials and challenges, endowing it with enduring vitality.
China Mosaic
http://www.china.org.cn/video/node_7230027.htm
Faith: The Spark Born by the Yudu Riverside
http://www.china.org.cn/2026-10/17/content_118737624.shtml
View original content to download multimedia:https://www.prnewswire.com/news-releases/truth-seeking-the-turning-point-in-zunyi-302912139.html
SOURCE China.org.cn
Technology
GMIF2026: AI Inference Powers the “Token Factory” and Drives System-Level Rethinking of Memory & Storage
Published
31 minutes agoon
October 19, 2026By
SHENZHEN, China, Oct. 18, 2026 /PRNewswire/ — The 5th GMIF Innovation Summit (Global Memory Innovation Forum 2026, GMIF2026) recently concluded at the Renaissance Shenzhen Bay Hotel. Co-hosted by the Shenzhen Memory Industry Association (SMIA) and the School of Integrated Circuits at Peking University, the summit was themed “The Future Built on AI Memory and Storage.” Now in its fifth edition, GMIF has grown from a regional industry gathering into a benchmark for the global semiconductor memory ecosystem, with diversified programs including keynote sessions, an investment forum, product exhibitions, a global livestream, and a golf friendship match, all centered on the value of memory and storage in the token economy and the AI inference era.
In the opening remarks by Rixin Sun, President of Shenzhen Memory Industry Association (SMIA), GMIF’s growth over five consecutive editions was traced from its early days to today. As a platform for global exchange, GMIF is built around the memory value chain, linking wafer IDMs and players in controllers, modules, packaging and testing, equipment and materials, and end applications to promote technical exchange, supply-demand matching, and ecosystem cooperation.
President Sun noted that as AI evolves from generative to agentic, inference efficiency, data scheduling, and system coordination have become shared priorities. Collaboration across the value chain is no longer a traditional supply-demand relationship, but a deeper partnership built around workload requirements, joint product definition, and scenario validation. Looking ahead, GMIF will pursue a more specialized and differentiated format, connecting memory companies with AI compute and end-application players worldwide.
Capital Meets Technology: Memory & Storage Moves to the Center of AI Infrastructure
As AI shifts from model training to large-scale commercial inference, the token is becoming a new unit of value. Inference demands low latency, high concurrency, and sustained throughput, which places memory and storage bandwidth, capacity, and energy efficiency among the variables that shape overall system efficiency and cost.
Daniel Yen of Morgan Stanley projected that global data center capital expenditure will stay strong in the coming years, with more than half of cloud data center capex expected to go to memory & storage (excluding HBM) by 2027. Yen identified six innovation paths to overcome the “memory wall” challenge: process migration, design changes, advanced packaging, memory peripherals, PIM/CIM, and new materials.
Prof. Yimao Cai, Dean of the School of Integrated Circuits at Peking University, pointed out that HBM remains central to high-end AI compute, but yield, cost, and thermal constraints limit broader adoption. NAND-based high-bandwidth technologies such as HBF have become a major research focus because of their cost advantage, and hybrid multi-media architectures could balance performance, capacity, and cost for deploying models with hundreds of billions of parameters.
Kevin Yoon, CVP & CTO of Samsung Memory China at Samsung Electronics, described how agents are generating massive KV cache demand and driving rapid iteration of tiered storage, citing Samsung’s work on Z-NAND, PCIe Gen6 SSDs, and ultra-high-capacity data center SSDs. Maya Zhang, Senior Director of Product Marketing from Sandisk, called this the first year of the “inference boom.” As inference reaches commercial scale, AI data centers are shifting from cost centers to value and capacity centers, and the evaluation framework is moving from TCO to TVO. NAND is becoming a strategic core component of AI, and the SSD is becoming a “token battery” that greatly improves the economics of the industry through token reuse.
Solidigm and Arm focused on the evolution of system-level design. Benny Ni, GAR Sales VP at Solidigm, noted high-capacity QLC SSDs are being adopted faster, and that memory offloading has moved from an alternative to a core design paradigm for data centers, while liquid cooling has become a prerequisite for unlocking high-end storage performance. John Xavier Lionel, Head of Global Storage Business at Arm, shared competition in the AI era is shifting from simply chasing higher TOPS to building a more efficient system balance among compute, memory, storage, and data movement. Arm’s cloud-edge-device continuum framework balances power, capacity, bandwidth, latency, security, and cost constraints at each tier, so that “the right AI workload runs in the right place.”
Moving from the cloud to the edge, Stanley Huang, AVP of Silicon Motion, stressed that devices are the ultimate carrier of AI experiences and that intelligent storage directly determines real-world device performance. Its PerformaShape technology allocates resources flexibly across different agents and greatly improves read/write consistency.
Sam Sun, Chairman of BIWIN, explained that large-scale AI inference is extending memory demand from data centers to the edge and endpoints, where differing needs in capacity, performance, power, size, and reliability are pushing storage from general-purpose specifications toward deep matching with specific scenarios and platforms. Drawing on full-stack capabilities from media selection and controller and firmware development to advanced packaging, testing, and volume delivery, BIWIN works closely with customers, platforms, and chip makers to tailor products to each use case, shortening development and validation cycles and improving system space, energy efficiency, and performance.
Token Factories Move Enterprise AI from Pilot to Production
As the token becomes the core unit of value, producing tokens efficiently and at low cost has become a shared challenge for enterprise AI adoption worldwide, and the “token factory” is emerging as a new industry paradigm. Tao Zhou, General Manager of the Server Division of Lenovo ISG China, said 80% of enterprises have deployed at least one type of agent, yet fewer than 40% of projects can scale and deliver positive ROI. Lenovo has built a full-stack “token factory” paradigm spanning data governance, compute optimization, and security management to address this.
A solid token factory depends on underlying storage media and architecture. Numbers Law’s PMD (Parallel Magnetic Drive) technology and NEXWISE‘s “KuberCloud” token factory solution contributed to full-stack capability from hardware to compute scheduling and model operations. Infplane, Maxio, and Genstoraige lowered the deployment threshold for large on-device models through AI SSD tiered offloading and memory expansion.
Real-world applications are also deepening. SYNCORE has achieved vehicle-cloud embodied intelligence across the whole vehicle. Dify, with its private agent architecture, and Paratera, with its MaaS compute service platform, are moving AI from basic compute supply toward deeper industry intelligence services, accelerating the industrialization of AI.
40 Companies Showcase the Core of the AI Memory & Storage Chain
The concurrent exhibition brought together 40 companies across the full value chain, from memory chips and controllers to compute servers, AIDC services, packaging and testing equipment, and system applications, presenting the latest advances in AI memory and storage from around the world.
Memory IDMs and controller makers led with new products. SanDisk featured its iNAND AT EU752 automotive UFS 4.1, SN861 enterprise NVMe SSD, and BiCS8 QLC NAND. Silicon Motion introduced the SM8466 PCIe Gen6 16-channel controller and the SM2524XT controller for edge SSDs. Maxio, YEESTOR, and other Chinese controller makers showed flagship PCIe Gen4/Gen5 and UFS controllers with enhanced LDPC, a sign that China’s controller portfolio is taking shape and benchmarking itself against leading international standards.
Compute and token factory solutions were another highlight. Lenovo exhibited its WenTian series of AI training-and-inference integrated servers. NEXWISE presented its full-stack token factory hardware and software, with heterogeneous compute management and token-based billing. Paratera showed its intelligent compute cloud and supercomputing cloud services, and Numbers Law demonstrated its PMD (Parallel Magnetic Drive) technology, aimed at sharply raising HDD IOPS and throughput. Infplane, Genstoraige, and Quanxing introduced KV cache offload and memory-fusion AI SSD solutions that use storage to share the compute load and significantly cut deployment costs.
Module makers and full-scenario solution providers brought a wide range of products. BIWIN exhibited enterprise SSDs, CXL products, wide-temperature industrial storage, and embedded products spanning AI cloud, edge, and device. KingSpec, POWEV, Topdisk, Barycn, Jielong Storage, HIKSEMI, and others presented industrial-grade, automotive-grade, server, and embedded product families, demonstrating strong volume production and reliable delivery.
Equipment, testing, and materials suppliers rounded out the floor. Attach Point, MICROVIEW, and Maxwell Technologies showed die attach and bonding equipment for 2.5D/3D advanced packaging. OKN Technology, Acroview Technology, Hongjingwei, and Tytantest introduced test and burn-in systems covering SSD, DRAM, and NAND that can accurately reproduce high-load AI I/O scenarios. Hemei Jingyi and Silergy brought storage IC package substrates and dedicated power management ICs. From advanced packaging equipment to test validation to core components, this supporting ecosystem lays the manufacturing foundation for volume production of AI memory and storage and for Chinese suppliers expanding overseas.
GMIF2026 Annual Awards Unveiled: Global Memory & Storage Leaders Build an Open, Collaborative Ecosystem
To recognize companies that have made outstanding contributions to the memory and storage value chain, the summit established the GMIF2026 Annual Awards, which cover memory, compute, packaging and testing equipment, test systems, and end applications across AI infrastructure, and were judged on technological innovation, industry contribution, market service, and real-world results.
Honorees, including Samsung Semiconductor, SanDisk, Solidigm, CXMT, Arm, Lenovo, Dify, Silicon Motion, Infplane, Genstoraige, Numbers Law, Paratera, SYNCORE, NEXWISE, Maxio Technology, BIWIN, Topdisk, KingSpec, POWEV, Quanxing Technology, OKN Technology, Attach Point, COMIX, Barycn, LKAUTO, Maxwell Technologies, Hemei Jingyi, Silergy, Heyan Technology, ExTripod Electronics, UNIMOS, GBAT, and Tytantest, were recognized for standout achievements in technology breakthroughs, product deployment, ecosystem building, and the industry chain.
Global Livestream and Golf Friendship Match Extend the Boundaries of Industry Cooperation
To join the global ecosystem and expand international cooperation, the summit featured a special Global Livestream by Memory Brands on LinkedIn, Facebook, and YouTube. Eight brands presented online: BIWIN, Silicon Motion, Quanxing Technology, OKN Technology, KingSpec, Maxwell Technologies, ExTripod Electronics, and Silergy. They gave overseas audiences a direct look at China’s latest advances in memory chips, advanced packaging, test systems, and other core AI infrastructure components, connecting technology standards, supply chain resources, and market demand across regions.
The momentum carried into the next day. The GMIF2026 “BIWIN Cup” golf friendship match, exclusively sponsored by BIWIN, brought senior executives from across the global memory value chain to the course. After a day of intensive discussion at the main forum, the setting was more relaxed, but the conversations among technology, capital, and markets carried on, helping speed practical cooperation across borders and sectors.
Conclusion
Across the GMIF program, one message stood out: global AI competition is moving beyond the “single-point era” of peak GPU performance into a “system-level era” that integrates storage, compute, networking, and software. In the token economy, memory and storage is shedding its auxiliary role and becoming the strategic foundation of AI inference.
This edition of GMIF brought together capital outlook, frontier technology, product innovation, real-world practice, and ecosystem collaboration, and, with the awards, livestream, and networking events, carried the conversation from ideas to product showcases, overseas exposure, and business deals. Going forward, GMIF will stay focused on the industry’s frontier issues and connect key players across the global memory value chain, promoting joint standards, technology development, and market expansion to open a new chapter for the AI memory and storage industry.
About GMIF
Global Memory Innovation Forum (GMIF) is a premier annual gathering that connects the global memory and storage community. Featuring diverse activities including keynote speeches, roundtable dialogues, supply-demand match-making, product showcases, industry rankings, awards programs, and global livestreaming, GMIF brings together key enterprises across the memory and storage chain, technical experts, terminal companies and investment institutions to exchange insights, build partnerships, and create business opportunities. Learn more about GMIF, please visit https://www.gmif.com.cn/. Follow us on LinkedIn, YouTube and Facebook.
Media Contact:
Carina Gu, wenjing.gu@gmif.com.cn
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SOURCE Shenzhen Memory Industry Association (SMIA)
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