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AI Agents Market is expected to generate a revenue of USD 51.58 Billion by 2032, Globally, at 38.5% CAGR: Verified Market Research®

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Verified Market Research®, a leading provider of business intelligence and market analysis is thrilled to announce the release of its comprehensive and authoritative report on the AI Agents Market. The AI Agents Market is witnessing rapid expansion, driven by advancements in machine learning, increasing enterprise automation, and growing demand for virtual assistants. However, challenges such as high implementation costs, data privacy concerns, and integration complexities may hinder market growth.

LEWES, Del., April 1, 2025 /PRNewswire/ –The Global AI Agents Market Size is projected to grow at a CAGR of 38.5% from 2025 to 2032, according to a new report published by Verified Market Research®. The report reveals that the market was valued at USD 3.84 Billion in 2024 and is expected to reach USD 51.58 Billion by the end of the forecast period.

Key Highlights of the Market Report:

Market Size & Growth Forecast: Comprehensive insights into market valuation, projected CAGR, and revenue trends.Technology Trends: Analysis of advancements in NLP, machine learning, and generative AI shaping AI agent capabilities.Regional Insights: Breakdown of market performance across North America, Europe, Asia-Pacific, and other key regions.Competitive Landscape: Profiles of major industry players, strategic developments, and competitive positioning.Industry-Specific Use Cases: Real-world applications of AI agents in BFSI, healthcare, retail, manufacturing, and more.

Why This Report Matters?

Strategic Decision-Making: Provides actionable insights to help businesses optimize AI-driven solutions.Investment Opportunities: Identifies emerging trends and lucrative market segments for investors.Risk Assessment: Highlights potential market challenges and mitigation strategies for enterprises.

Who Should Read This Report?

Market Research Professionals – To analyze emerging AI trends and industry developments.B2B Clients & Industrialists – To explore AI-driven automation opportunities for business growth.Tech Investors & Analysts – To assess AI agents’ impact on various industries and investment potential.AI & Software Developers – To understand market needs and innovation trends for future solutions

For more information or to purchase the report, please contact us at: https://www.verifiedmarketresearch.com/download-sample?rid=485428

Browse in-depth TOC on “Global AI Agents Market Size“

202 – Pages
126 – Tables
37 – Figures

Report Scope

REPORT ATTRIBUTES

DETAILS

STUDY PERIOD

2021-2032

BASE YEAR

2024

FORECAST PERIOD

2025-2032

HISTORICAL PERIOD

2021-2023

UNIT

Value in USD Billion

KEY COMPANIES PROFILED

Alibaba Group Holding Limited, Amazon Web Services, Inc., Apple, Inc., Baidu, Google, IBM Corporation.

SEGMENTS COVERED

By Technology, By Application, By Agent System, By Type, And By Geography.

CUSTOMIZATION SCOPE

Free report customization (equivalent to up to 4 analyst working days) with purchase. Addition or alteration to country, regional & segment scope.

Global AI Agents Market Overview

Key Market Drivers

Rising Enterprise Adoption of AI-Driven Automation: Companies in several sectors are swiftly incorporating AI agents to automate mundane jobs, streamline workflows, and improve operational efficiency. Enterprises utilise AI agents, ranging from intelligent virtual assistants to AI-driven customer assistance, to decrease expenses and enhance service quality. The rising demand for AI in process automation, along with progress in machine learning and natural language processing, is driving market growth. As artificial intelligence advances, organisations want AI-driven solutions to attain a competitive advantage.

Advancements in Natural Language Processing (NLP) and Machine Learning: The AI Agents Market is experiencing substantial expansion owing to ongoing progress in natural language processing, deep learning, and generative artificial intelligence. Advanced language models allow AI bots to analyse, comprehend, and react to human interactions with greater precision. This advancement is notably propelling acceptance in industries such as customer service, healthcare, and financial services, where AI agents enhance communication and decision-making efficiency. The emergence of multimodal AI, integrating text, speech, and visual inputs, is enhancing the potential of AI-driven automation.

Growing Demand for AI-Powered Customer Engagement Solutions: Companies are emphasising AI-driven customer engagement to improve user experiences and optimise support operations. AI chatbots, voice assistants, and virtual agents are being utilised to provide tailored, immediate support across digital platforms. This trend is notably pronounced in e-commerce, banking, and healthcare, where AI agents assist in managing enquiries, suggesting items, and automating client interactions. As customer expectations for immediate and intelligent replies increase, organisations are allocating resources to AI agents to enhance customer happiness and loyalty.

To Purchase a Comprehensive Report Analysis: https://www.verifiedmarketresearch.com/select-licence?rid=485428

Market Restraints Hindering the Market Growth

High Implementation Costs and Integration Complexities: Despite their transformational potential, AI agents require considerable initial investments in infrastructure, training, and deployment. Small and medium-sized organisations (SMEs) frequently encounter financial limitations in implementing AI-driven automation. Moreover, the integration of AI agents with current IT ecosystems and legacy systems can be intricate and resource-demanding. Numerous organisations encounter interoperability challenges, necessitating significant customisation and technical proficiency, hence impeding adoption and elevating total cost of ownership.

Data Privacy, Security, and Ethical Concerns: The growing dependence on AI agents for managing sensitive corporate and customer information presents considerable privacy and security issues. AI-driven systems amass extensive data, rendering them susceptible to hacks and data breaches. Regulatory frameworks such as GDPR and CCPA place stringent compliance obligations on data management that firms must negotiate. Ethical dilemmas, including AI biases and transparency in decision-making, present significant hazards. Such worries may inhibit organisations from completely embracing AI agents, hence constraining market growth.

Dependence on High-Quality Data and Training Models: AI agents depend on extensive datasets for optimal performance; however, acquiring high-quality, impartial, and current data continues to pose a barrier. Substandard data quality can result in erroneous predictions, inadequate responses, and inferior decision-making. Moreover, AI models necessitate ongoing training and enhancement to adjust to changing business requirements and customer engagements. Organisations must provide resources to data management, annotation, and AI model optimisation to fully realise the promise of AI agents. Inadequate data governance jeopardises organisations by leading to the implementation of poor AI technologies, hence obstructing market expansion.

Geographical Dominance:

North America Leads the AI Agents Market with Strong Technological Advancements

North America leads the AI Agents Market, propelled by swift AI integration across sectors, substantial R&D expenditures, and the significant presence of major companies such as Google, Microsoft, and IBM. The region’s desire for AI-driven automation in the BFSI, healthcare, and retail sectors propels growth. Government measures that promote AI innovation and enhance corporate dependence on AI-driven solutions establish North America as the foremost centre for the deployment and development of AI agents.

Key Players

The “Global AI Agents Market” study report will provide a valuable insight with an emphasis on the global market.  The major players in the market are Alibaba Group Holding Limited, Amazon Web Services, Inc., Apple, Inc., Baidu, Google, IBM Corporation.

AI Agents Market Segment Analysis

Based on the research, Verified Market Research has segmented the market into Technology, Application, Agent System, Type, and Geography.

AI Agents Market, by TechnologyMachine LearningNatural Language Processing (NLP)Deep LearningComputer VisionAI Agents Market, by ApplicationCustomer Service and Virtual AssistantsRobotics and AutomationHealthcareFinancial ServicesSecurity and SurveillanceGaming and EntertainmentMarketing and SalesHuman ResourcesLegal and ComplianceAI Agents Market, by Agent SystemSingle Agent SystemsMulti Agent SystemsAI Agents Market, by TypeReady-to-Deploy AgentsBuild-Your-Own AgentsAI Agents Market, by GeographyNorth AmericaU.SCanadaMexicoEuropeGermanyFranceU.KRest of EuropeAsia PacificChinaJapanIndiaRest of Asia PacificROWMiddle East & AfricaLatin America

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Truth-seeking: the Turning Point in Zunyi

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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

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Technology

Truth-seeking: the Turning Point in Zunyi

Published

on

By

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

Continue Reading

Technology

GMIF2026: AI Inference Powers the “Token Factory” and Drives System-Level Rethinking of Memory & Storage

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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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