Top 50 AI Companies in Asia (2025)

Artificial Intelligence (AI) innovation is flourishing across Asia, with dynamic startups and tech giants driving breakthroughs in sectors from finance and healthcare to robotics and education. This report presents a ranked list of the top 50 AI companies in Asia, reflecting the region’s vibrant ecosystem in 2025. We detail the methodology and ranking parameters used, provide concise summaries for each company, and offer in-depth analysis of the top 10 companies. The list spans East Asia, South Asia, Southeast Asia, and the Middle East, highlighting recent developments (2023–2025) in AI capabilities, investments, and real-world deployment.

Methodology and Ranking Criteria

Our ranking is based on a composite assessment of each company’s performance and potential across multiple dimensions. The key parameters considered include:

• Innovation: The uniqueness of the company’s AI technology, research contributions, and patents. Companies pushing the boundaries of AI (e.g. developing novel algorithms, large language models, or AI chips) scored higher on innovation.
• Funding and Valuation: The amount of venture funding raised or market capitalization, as a proxy for investor confidence and resources available. Unicorn startups (valued ≥ $1B) and highly funded firms feature prominently.
• Revenue and Commercialization: Demonstrated ability to monetize AI solutions via revenue, major clients, or successful product deployments. This indicates market traction and business fundamentals.
• Market Impact: The scale of the company’s user base or deployments and its influence on industry trends. For example, companies leading in AI adoption in key sectors (fintech, healthcare, etc.) or those with millions of users scored well on impact.
• Regional Influence: Leadership within the company’s home region or across Asia, including collaborations, government partnerships, or role in shaping AI policy/strategy. Pan-Asia reach or dominance in local markets boosted rankings.
• Strategic Relevance: Alignment with strategic areas like national AI agendas or solving pressing societal challenges. Companies playing a role in areas such as smart cities, education, or national AI initiatives were viewed favorably.

Each company was evaluated qualitatively and quantitatively on these criteria using the latest available data (as of 2025). Primary sources – including official company announcements, funding databases, and market research – were used to validate information. The final list represents a holistic judgement of “top” AI companies, balancing startup innovation with the scale of established firms. Below, we present the Top 50 AI Companies in Asia for 2025, with the top 10 described in detail and others summarized.

Top 50 AI Companies in Asia (Ranked)

1. ByteDance (China) – AI-Powered Content & Consumer Tech. ByteDance is best known as the parent of TikTok/Douyin, leveraging advanced AI recommendation algorithms to revolutionize content discovery. Founded in 2012, it has evolved into one of the world’s most valuable startups, powered by AI-driven personalization at massive scale. Beyond social media, ByteDance’s AI prowess extends to productivity tools, education platforms, and enterprise software. In recent years, its AI research arm has made significant strides in natural language processing and computer vision, and the company has expanded into new domains (e.g. AI for office apps and gaming). With hundreds of millions of users worldwide, ByteDance’s market impact is enormous. Recent Developments (2023–2025): The company doubled down on AI research, investing in large-scale recommendation engines and even exploring AI in chip design. Its influence on popular culture (via TikTok’s algorithm) and on industry (driving competitors to improve recommendation AI) remains unparalleled in Asia.
2. SenseTime (China) – Computer Vision & Generative AI Leader. SenseTime is a pioneer in computer vision (CV) and one of the world’s most funded AI pure-plays, having raised over $5 billion and achieving a valuation around $12 billion. It built its name on facial recognition and vision AI deployed in smart cities, security, and fintech. After a blockbuster IPO in Hong Kong (2022), SenseTime shifted focus to generative AI to stay at the cutting edge. In early 2023 it launched its large AI model SenseNova, claiming capabilities on par with OpenAI’s latest GPT models. The company reorganized into units for smart auto, healthcare, and robotics, signaling strategic diversification. Recent Developments: SenseTime unveiled AI products like a ChatGPT-like chatbot and image generator. It has aggressively invested in multimodal AI, with new models (SenseNova V6) reportedly outperforming competitors in certain tasks. Despite headwinds (e.g. being placed on U.S. export control lists in 2021), SenseTime remains a flagship of China’s AI ambitions, now targeting generative AI as its core growth driver.
3. Baidu (China) – Search Giant Turned AI Powerhouse. Baidu is China’s leading search engine company that has reinvented itself as an AI-first firm. It operates one of the world’s largest AI research programs, spanning natural language, autonomous driving, and cloud AI services. In 2023, Baidu made global headlines by launching ERNIE Bot, China’s first major ChatGPT-like large language model, showcasing Chinese advances in generative AI. By October 2023, Baidu’s ERNIE 4.0 was claimed to rival GPT-4 in capability, and as of mid-2024 ERNIE Bot had already reached 300 million users. Baidu also leads in autonomous vehicles through its Apollo program – its Apollo Go robotaxi service has provided over 11 million rides, deploying 1,000+ autonomous cars across 15 cities in China (and pilot runs in the Middle East). Recent Developments: In 2024, Baidu unveiled an upgraded foundation model (ERNIE 4.0 Turbo) and reported that its open-source deep-learning platform PaddlePaddle supports 14 million developers. Its AI cloud revenue is surging (42% YoY), reflecting Baidu’s successful commercialization of AI. Baidu’s dual focus on AI software and autonomous systems cements its position in Asia’s top tier.
4. Alibaba (China) – E-commerce Titan with AI and Cloud Might. Alibaba Group, while known for e-commerce, has become a powerhouse in AI through its cloud division and research arm (DAMO Academy). In 2023, Alibaba launched its own generative AI model “Tongyi Qianwen”, analogous to ChatGPT, aiming to integrate it across services from enterprise chatbots to the Taobao shopping app. The company underwent a major restructuring, carving out its Cloud Intelligence Group (which includes its AI initiatives and semiconductor unit) for a spinoff and public listing. This reflects strategic intent to unlock value in AI and cloud. Recent Developments: Alibaba Cloud opened Tongyi Qianwen for enterprise testing and introduced industry-specific AI solutions. Facing competition, Alibaba joined Chinese peers in offering incentives for businesses to migrate from banned OpenAI APIs to domestic platforms. With investments in AI chips (its Hanguang processors) and edge computing, Alibaba provides the infrastructure fueling many AI startups in Asia. Its influence also spans fintech (Ant Group) and logistics, where AI optimizes transactions and supply chains at enormous scale.
5. Tencent (China) – Social Media & Gaming Giant Driving AI R&D. Tencent is China’s most valuable internet company, famed for WeChat and online games, and is a major AI innovator through the Tencent AI Lab and YouTu CV lab. In 2023, Tencent joined the foundation model race, debuting its large language model “Hunyuan” with 100+ billion parameters. Hunyuan has been integrated into over 50 Tencent products and services from cloud to entertainment. Tencent claims the model excels in Chinese and English tasks and even matches or exceeds ChatGPT on certain benchmarks (though these claims are unverified). Beyond LLMs, Tencent applies AI in gaming (NPC behavior, anti-cheat), fintech (WeBank risk models), and medical AI via its WeDoctor platform. Recent Developments: Tencent opened Hunyuan for enterprise use in September 2023, and by 2024 it open-sourced smaller versions to foster adoption. The company is also expanding AI capabilities in video generation and content moderation, crucial for its social platforms. Tencent’s vast ecosystem (social media, payments, cloud) and investment portfolio (it backs many AI startups) give it unparalleled reach to deploy AI solutions across Asia.
6. Huawei (China) – AI Hardware, Cloud and Research Leader. Huawei, the telecom and smartphone giant, has pivoted to focus heavily on AI in the wake of global 5G competition. It produces its own AI chips (Ascend series) and a full-stack AI computing framework (MindSpore). In 2023, Huawei announced PanGu 3.0, a multimodal 1+ trillion parameter AI model tailored for industries like government, finance, and healthcare. This homegrown large language model underscores Huawei’s emphasis on technological self-reliance. Huawei’s AI prowess is evident in its cloud platform (Huawei Cloud), which launched numerous industry-specific models (e.g. PanGu-Weather for meteorology) and boasts that some models have outperformed traditional methods in accuracy. Recent Developments: A 2023 paper in Nature highlighted Huawei’s Pangu-Weather model beating conventional weather prediction approaches. Huawei is infusing AI across its product lines – from smartphone cameras with AI imaging to network equipment with AI optimization. Despite facing sanctions, Huawei’s R&D (over $20B annually) and large talent pool have kept it at the forefront. Its strategic importance to China (e.g. in AI for national infrastructure) bolsters its regional influence.
7. Mobileye (Israel) – Global Leader in Autonomous Driving Tech. Mobileye is an Israel-based company (majority-owned by Intel) that dominates the market for advanced driver-assistance systems (ADAS) and is spearheading self-driving car technology. Mobileye’s computer vision chips (EyeQ series) are embedded in tens of millions of vehicles worldwide, enabling features like collision avoidance and lane keeping. In 2022, Mobileye had a successful IPO (valuing it around $17B), underlining investor confidence in its AI-on-wheels leadership. Recent Developments: Mobileye’s revenue has been rising steadily (>$1.6B in 2024) as automakers adopt its higher-level ADAS platform SuperVision, which offers surround vision and highway hands-free driving. The company is also testing fully driverless robotaxis and aiming to launch consumer autonomous systems (Mobileye Chauffeur) in the next few years. Mobileye’s strategic partnerships (e.g. with Geely, VW, Toyota) to provide vision algorithms and mapping data keep it deeply embedded in the automotive value chain. As the most prominent AI company in the Middle East, Mobileye showcases how AI can achieve both commercial success and real-world impact, making driving safer globally.
8. G42 (United Arab Emirates) – AI Holding Company Transforming Industries. G42, based in Abu Dhabi, UAE, is a cutting-edge AI and cloud computing conglomerate that has rapidly risen since its founding in 2018. Chaired by UAE’s National Security Advisor, G42 drives AI initiatives across government services, healthcare (e.g. AI-assisted diagnostics), finance, oil & gas, aviation, and more. It was instrumental in the UAE’s COVID-19 response (genomics and testing analytics) and hosts the Inception Institute of AI (IIAI), a leading research center in the region. Recent Developments: In 2023, G42 launched a $10B expansion fund to invest in technology globally and entered partnerships with global tech firms (e.g. a $1.5B investment from Microsoft to collaborate on cloud AI). It also reorganized key units into a new entity, Core42, merging its cloud and research arms to accelerate AI solutions deployment. G42’s portfolio includes geospatial AI (via its subsidiary Bayanat) and it is reportedly building one of the world’s largest AI supercomputing centers in Abu Dhabi. With strong government backing and a broad mandate, G42 is strategically positioning the Middle East as an AI innovation hub.
9. Naver (South Korea) – Internet Pioneer with Hyper-scale AI. Naver is South Korea’s top internet search and platform company, often dubbed “the Google of Korea.” It has heavily invested in AI to maintain technological leadership against global rivals. In 2023, Naver rolled out HyperCLOVA X, its own generative AI large language model, along with services like the CLOVA-X chatbot and Cue (an AI-powered search engine). HyperCLOVA, first launched in 2021 with 204 billion parameters, was among the world’s largest language models, and the updated HyperCLOVA X enhances those capabilities. Naver boasts a team of 500+ AI researchers and is one of only a few companies globally with a 100B+ parameter model. Recent Developments: Naver has integrated HyperCLOVA X into its products (e.g. Naver Search and enterprise cloud offerings) and is developing multimodal AI that can handle images and audio. The company also forayed into robotics and autonomous driving via its subsidiary Naver Labs, deploying robots in its new headquarters and working on digital twin maps. Regionally, Naver positions its AI as a “sovereign” alternative for markets with local language needs or data sensitivities (targeting Korea, Japan, Southeast Asia, and Middle East clients). Naver’s blend of consumer services and core AI tech R&D makes it a key AI trailblazer in East Asia.
10. Preferred Networks (Japan) – Deep Learning Innovator & Industrial AI Partner. Preferred Networks (PFN) is a Tokyo-based AI startup (founded 2014) renowned for its deep learning research and applications in IoT, manufacturing, and robotics. It developed the Chainer deep learning framework and has long-term collaborations with Toyota (on autonomous driving robots) and Fanuc (on smart factory systems). PFN emphasizes edge AI and has even built Japan’s most powerful private supercomputer for AI training. Recent Developments: To overcome hardware bottlenecks, Preferred Networks started designing its own AI chips – it completed a second-gen AI chip with TSMC in 2023 to power its next supercomputer. These custom chips optimize power efficiency for AI workloads, ensuring PFN’s access to critical hardware amidst global chip shortages. PFN plans to offer its computing power for training large language models and for AI-driven drug discovery as a cloud service by 2024. With an elite team of researchers, PFN is also behind advances in robotics (co-developing home service robots that learn in real environments) and materials discovery using AI. As one of Japan’s top AI firms (often cited alongside much larger conglomerates), Preferred Networks punches above its weight in innovation and exemplifies how a startup can become central to a nation’s AI strategy.
11. Megvii (China) – Vision AI (Face++) and IoT Solutions. Megvii, known for its Face++ facial recognition platform, is a Chinese AI startup specializing in computer vision. It has deployed face and image recognition systems in security, fintech (e.g. Alipay’s face login), and city management. Megvii’s core algorithms have been trained on one of the world’s largest face data repositories. The company was valued at over $4B and has expanded into IoT and robotics, offering AI-powered solutions for supply chain and logistics (such as warehouse robots). Recent News: Megvii faced U.S. sanctions similar to SenseTime, but it pivoted toward smart logistics and IoT imaging to diversify revenue. It continues to innovate in edge AI chips and deep learning frameworks.
12. iFlyTek (China) – Speech Recognition and Language AI Leader. iFlyTek is China’s foremost speech AI company, providing voice recognition and natural language processing technologies. Its AI is behind many Chinese voice assistants, translation apps, and smart education tools. In 2023, iFlyTek launched its large language model Spark Desk to compete in the Chinese ChatGPT race, claiming it could pass certain school exams and would surpass ChatGPT on Chinese-language tasks. The company works closely with government on AI education programs (e.g. AI-enabled learning platforms) and healthcare (voice-based diagnostic aids). iFlyTek’s AI voice tech also powers accessibility tools for the hearing-impaired. Recent News: iFlyTek reported that its generative AI model had reached parity with leading global models in some benchmarks and was integrated into a new AI-powered office suite. The firm’s voice-to-text systems continue to dominate the Chinese market, and it’s expanding into autonomous vehicle voice interaction as well.
13. Fourth Paradigm (China) – Enterprise AutoML Platform. Fourth Paradigm (Seventh Paradigm Technology) is a Chinese AI startup specializing in automated machine learning (AutoML) for enterprises. It helps companies build and deploy AI models quickly with minimal coding, focusing on financial services, retail, and manufacturing use cases. The company became a unicorn and filed for a Hong Kong IPO in 2021. Recent Developments: Fourth Paradigm secured large deployments in banks and insurance companies, where its platform is used for risk modeling and customer analytics. It has been recognized for innovation in AI software and was among the top-funded AI startups in Asia (raising hundreds of millions). As of 2023, it’s investing in integrating generative AI capabilities into its platform to assist with AI model generation and decision intelligence.
14. DJI (China) – Drone and Robotics Vision Champion. DJI, based in Shenzhen, is the world’s leading maker of commercial drones, controlling an estimated 70% of the global drone market. While primarily a hardware company, DJI’s drones are packed with AI – from computer vision for obstacle avoidance to automated flight planning. DJI’s innovations in autonomous navigation and vision tracking have made drones easy to use for photography, agriculture, and industrial inspections. Recent Developments: DJI released new enterprise drone models with improved AI-powered thermal imaging and real-time object identification (useful for emergency response). It’s also investing in drone-to-cloud AI services, where drone-captured data is analyzed using AI for clients (e.g. in construction or surveying). With drones increasingly seen as “flying robots,” DJI stands at the intersection of robotics and AI, bringing advanced autonomy to the skies.
15. Horizon Robotics (China) – Edge AI Chips for Smart Vehicles. Horizon Robotics is a Beijing-based company focused on AI processors and software for autonomous driving and Internet of Things. Its Journey series AI chips are widely used by Chinese automakers for driver-assistance systems. Recent News: Horizon raised large funding rounds (including strategic investments from Volkswagen and auto OEMs) and in late 2023 went public in Hong Kong, raising ~$700M. The company’s chips enable efficient computer vision on the edge, allowing vehicles to recognize objects, pedestrians, and traffic signs without cloud support. Horizon also provides an open SDK for developers. With China pushing for self-reliance in semiconductors, Horizon Robotics plays a key role in the domestic autonomous driving supply chain.
16. Cambricon (China) – AI Semiconductor Pioneer. Cambricon Technologies is one of China’s first unicorns in AI chip design, known for its neural processing units (NPUs) used in servers, cloud, and smartphones. Cambricon’s IP was integrated into early Huawei Kirin chips, and it now sells accelerator cards and AI chips (Cambricon MLU series) for data centers and training clusters. Recent Developments: Cambricon is publicly listed on the STAR Market in Shanghai and has been ramping up R&D on chips for large model training. Its latest MLU chips support Transformer model acceleration, catering to the generative AI boom. Cambricon also partners with Chinese supercomputing centers to equip them with indigenous AI hardware, reducing reliance on NVIDIA GPUs.
17. Pony.ai (China) – Autonomous Vehicles (Robotaxis and Trucks). Pony.ai is a leading self-driving technology startup with roots in both Silicon Valley and China, though it’s now largely focused on China operations. It has tested robotaxi services in Beijing, Guangzhou, and Shanghai. Pony.ai’s AI driving system has achieved Level 4 autonomy in geo-fenced areas, and the company has secured strategic investments from Toyota. Recent News: In 2023 Pony.ai was granted permits in Beijing for fully driverless robotaxi operation (no safety driver) in certain zones, a significant milestone. It’s also running a trucking joint venture for autonomous freight. With a valuation over $8B, Pony.ai is among the world’s most valuable autonomous driving startups, reflecting the intense innovation in Asia’s mobility sector.
18. WeRide (China) – Autonomous Driving Specialist. WeRide is another Chinese autonomous driving unicorn, known for its robotaxis in Guangzhou and its focus on self-driving mini-buses and urban shuttles. It was the first in China to operate a public Robo-taxi service (since 2019). Recent Developments: WeRide unveiled a next-gen sensor suite and AI stack that significantly reduces the cost of self-driving units, helping commercial viability. It expanded pilot services to Abu Dhabi (partnering to trial autonomous taxis in the Middle East). WeRide also acquired an autonomous trucking startup, signaling its expansion into logistics. The company’s collaborations with major carmakers (like Nissan/Renault) underscore its rising influence.
19. Ping An Good Doctor (China) – AI in Healthcare and Telemedicine. Ping An Good Doctor (Ping An Health) is an online healthcare platform majority-owned by Ping An Insurance. It leverages AI for medical consultations, triage, and health management. The platform has an “AI Doctor” engine that does initial symptom analysis before a human doctor takes over, improving efficiency. Recent Developments: During 2023, Ping An Good Doctor integrated new medical GPT-style models to enhance its consultation chatbot with up-to-date medical knowledge. It also partnered with hospitals to deploy AI diagnostics (for example, AI reading of medical imaging). With over 400 million users, it’s one of the largest telehealth apps globally, and its use of AI to alleviate doctor shortages is a model being watched across Asia.
20. Ant Group (China) – Fintech Giant Applying AI at Scale. Ant Group, the parent of Alipay, isn’t a pure AI company, but AI is central to its fintech operations – from credit risk modelling and fraud detection to recommendation systems in its wealth management apps. Ant’s AI-driven credit platform (powered by its score Zhima Credit) has revolutionized lending in China, assessing borrowers in seconds using machine learning on vast data. Recent Developments: Despite a shelved IPO, Ant continued investing in AI, opening a dedicated AI center for financial research. It has been developing its own graph neural network algorithms to better detect fraud patterns among billions of transactions. In 2023 Ant launched an AI service platform for SMEs, offering risk management AI tools via API. Ant’s influence in fintech across Asia (India’s Paytm, Korea’s KakaoBank etc. have taken cues from it) and its cutting-edge deployment of AI in finance justify its place among the top ranks.
21. Fractal Analytics (India) – AI Analytics and Decision Science. Fractal is one of India’s leading AI companies, providing analytics services and AI solutions to Fortune 500 firms. With a strong focus on decision sciences, Fractal uses AI to optimize marketing, supply chains, and risk for clients. It has developed products like Qure.ai (healthcare imaging AI) and Theremin (automated forecasting). Fractal became a unicorn in early 2022 after funding by private equity, reflecting its steady growth. Recent News: Fractal’s healthcare AI spin-off Qure.ai gained FDA approvals for its chest X-ray analysis tool, showcasing the group’s innovation in deep learning. Fractal also opened a new AI innovation center in Bengaluru in 2023, and partnered with Google Cloud to offer industry-specific AI solutions. As Indian enterprises accelerate AI adoption, Fractal’s experience and IP make it a strategic partner.
22. Uniphore (India) – Conversational AI and Voice Automation. Uniphore is a Chennai and Silicon Valley-based startup specializing in speech AI – including voice assistants, speech analytics, and conversational RPA (robotic process automation). Its solutions are used in customer service centers to automate call summaries and detect customer sentiment. Uniphore’s AI can understand multiple languages and emotions, making interactions more natural. Recent Developments: In 2022, Uniphore raised $400M (Series E) reaching unicorn status, to expand globally. It acquired an AI computer vision company (Red Box) to analyze video calls, indicating a move into multimodal conversational AI. By 2025, Uniphore’s technology was deployed by major banks and airlines in Asia for automated customer support, saving costs and improving service personalization.
23. Freshworks (India) – AI-Powered SaaS for Customer Engagement. Freshworks, though headquartered in the US since its IPO, was founded in Chennai, India, and its R&D backbone remains there. It provides customer engagement software (CRM, IT service management, marketing automation) and has infused AI (branded “Freddy AI”) across its suite. Freddy AI assists support agents with recommended responses and automates routine tickets with high accuracy. Recent Developments: Freshworks launched an enhanced Freddy AI in 2023 that uses GPT-based NLP to draft customer replies and auto-suggest sales email content. As a leading SaaS company from Asia, Freshworks demonstrates how AI features can differentiate software offerings. With thousands of clients globally, its AI developments have wide impact on how businesses interact with customers.
24. InMobi (India) – Mobile Advertising and Marketing AI. InMobi is a Bangalore-based unicorn that operates a global mobile advertising platform, leveraging AI for user targeting and ad personalization. Competing with giants like Google, InMobi’s secret sauce is its AI-driven algorithms that analyze mobile user behavior at scale to serve relevant ads (it reaches over 1.6 billion devices). Recent News: InMobi’s marketing cloud introduced an AI optimization engine in 2023 that adjusts campaigns in real-time based on conversion predictions. It also uses AI for creative ad generation, dynamically adapting content to user segments. InMobi expanded into mobile shopping and content (with its Glance lockscreen content, itself an AI-curated feed). As one of India’s earliest unicorns, InMobi’s sustained use of AI keeps it competitive globally.
25. Trax (Singapore) – Retail Computer Vision. Trax is a Singapore-headquartered startup (with Israeli roots) specializing in computer vision for retail. Its AI algorithms analyze photos of retail shelves to provide insights on inventory levels, product placement, and out-of-stock detection for consumer goods companies. Trax’s solutions help automate retail audits that were traditionally manual. Recent Developments: Trax became a unicorn after raising over $640M and has partnered with heavyweights like Nestlé and Walmart in Asia. In 2023, it launched an improved machine vision platform that can process shelf images in real-time on edge devices in stores, providing instant alerts to staff. Trax is also experimenting with autonomous shelf-scanning robots to continuously feed its AI systems with data. This combination of vision AI and retail domain know-how is transforming brick-and-mortar store operations in Asia.
26. ViSenze (Singapore) – Visual Search and E-Commerce AI. ViSenze is a Singaporean AI startup that provides image recognition and visual search technology. For e-commerce, it enables shoppers to search for products using images (e.g. find a dress from a photo) with high accuracy. Its AI is also used for content moderation (detecting inappropriate images) and contextual advertising by recognizing products inside videos. Recent News: ViSenze powers visual search for major Asian online retailers and in 2023 it rolled out an AI service for fashion attribute detection (automatically tagging clothing style, color, etc., in catalog photos). It also introduced a multimodal search combining text and image inputs. By applying deep learning to understand images the way humans do, ViSenze has made online shopping more intuitive across markets in Southeast Asia and beyond.
27. Advance.ai (Singapore) – Fintech AI (Identity Verification & Credit Scoring). ADVANCE.AI is a Singapore-based unicorn providing AI solutions to fintech and online businesses, especially in Southeast Asia and India. Its flagship offerings include digital identity verification (e-KYC), fraud detection, and credit scoring, powered by computer vision and machine learning. For example, it uses AI to verify customer identities via selfie and ID document checks in seconds. Recent Developments: Advance.ai has seen huge demand as digital lending and mobile wallets boom – by 2025 it had verified over 2 billion identities. The company expanded its product line to include an AI underwriting engine for BNPL (buy-now-pay-later) services, and a new platform for automating loan collections using AI bots. Its focus on financial inclusion and reducing fraud aligns with many Asian regulators’ goals, making Advance.ai strategically valuable regionally.
28. Appier (Taiwan) – AI Marketing and Enterprise SaaS. Appier is a Taiwanese AI company (publicly listed in Tokyo) that provides AI-powered marketing solutions for enterprises. Its products help clients acquire and engage customers by predicting user behavior – e.g. which users are likely to convert or churn – using machine learning. Appier’s AI analyzes cross-platform data (web, mobile, social) to create unified user profiles and recommend optimal marketing actions. Recent News: Appier continued double-digit growth through 2024, launching a new AI-driven creative tool that auto-generates and tests multiple ad variants. It also developed a privacy-friendly AI that can do effective targeting with minimal personal data, anticipating stricter data laws. Appier’s success underscores how AI SaaS from Asia can compete globally; it now serves hundreds of brands in APAC, the US, and Europe.
29. Insilico Medicine (Hong Kong) – AI for Drug Discovery. Insilico Medicine is a Hong Kong-based biotech startup using AI for pharmaceutical research. Its end-to-end drug discovery platform combines generative AI for novel molecule design with deep learning for predicting target disease relevance. In 2023, Insilico made headlines by bringing an AI-designed drug to clinical trials – a first-of-its-kind milestone. The company’s AI has also been applied to anti-aging research and COVID-19 therapy identification. Recent Developments: Insilico closed a $95M funding round in 2023 to further develop its AI pipelines and opened a huge AI research center in UAE, reflecting Middle Eastern investment in biotech AI. It introduced a new system, ChatGPT for chemists, that allows researchers to interact with its drug design AI using natural language. Insilico’s blend of talent from Asia, Russia, and the US and its partnerships with big pharma show the global nature of AI in medicine, with Asia playing a leading role.
30. Ping An OneConnect (China) – AI-Driven Fintech SaaS. OneConnect, a subsidiary of Ping An Insurance, provides fintech SaaS solutions to financial institutions, many powered by AI. Its offerings span smart lending platforms, facial recognition-based security, blockchain finance, and insurance claim automation. OneConnect leverages Ping An’s deep AI research (e.g. in computer vision and NLP) to deliver fintech modules to hundreds of banks and insurers across Asia. It listed on the NYSE in 2019. Recent News: OneConnect’s AI-driven loan origination system saw increased adoption by regional banks as it can cut the approval time from days to minutes using automated data checks and credit scoring. In 2024, it launched an AI compliance tool that uses NLP to analyze regulations and ensure banks’ AI models are used ethically. This company exemplifies B2B AI enabling digital transformation of Asia’s financial sector.
31. OrCam (Israel) – AI Assistive Technology (Wearables for the Visually Impaired). OrCam, co-founded by the inventor of Mobileye, harnesses computer vision and natural language AI to assist people with visual or reading impairments. Its wearable device (OrCam MyEye) can read text aloud from any surface, recognize faces, and identify objects, all in real time and offline – offering greater independence to users. This is achieved via a tiny camera and AI processor that clips onto glasses. Recent Developments: OrCam’s latest device (released 2023) added features like scene descriptions (e.g. “a man pouring coffee in a kitchen”) and voice controls. It also introduced OrCam Learn, an AI tutor gadget for dyslexic children that listens to reading and provides feedback. OrCam has won awards for AI as a force for good and expanded its distribution throughout Asia, bringing cutting-edge assistive AI to markets like Japan and India where accessibility needs are high.
32. AnyVision (Oosto) (Israel) – Facial Recognition and Visual AI for Security. AnyVision, rebranded as Oosto, is an Israeli company specializing in face recognition and video analytics used in security, retail, and smart cities. Its AI software can recognize faces (even with masks or in crowds) and detect suspicious behaviors on live CCTV feeds. This technology is used for access control (face-based entry), watchlist alerting, and visitor analytics. Recent News: Oosto has focused on ethical use, adding privacy features like face blurring for bystanders. In 2023, it launched an edge computing appliance that processes video streams on-site for clients concerned about data sovereignty (important in Asia’s privacy regulations). With clients from airports to casinos in Asia, AnyVision/Oosto is a key player in physical security AI. It has raised over $200M and weathered controversies by emphasizing how AI can enhance safety when properly regulated.
33. Hailo (Israel) – Edge AI Chips for IoT. Hailo is an Israeli semiconductor startup that designs specialized AI chips for edge devices (cameras, drones, vehicles). Its chips are known for high energy efficiency, enabling complex deep learning inference on devices with limited power. Hailo’s flagship Hailo-8 chip can be embedded in smart cameras to do real-time video analytics (object detection, counting, etc.) without needing cloud processing. Recent Developments: In 2023, Hailo released a new chip, Hailo-15, tailored for intelligent cameras and upgraded with the ability to run transformer models (so it can handle not just vision, but also audio/NLP tasks at the edge). It also partnered with Japanese and Korean manufacturers to integrate Hailo chips into next-gen CCTV and factory machines. Hailo’s success showcases Asia/Middle East’s growing footprint in AI hardware, offering an alternative to US and Chinese chips for the booming IoT market.
34. Zebra Medical Vision (Israel) – AI for Medical Imaging. Zebra Medical (acquired by Nanox in 2021) developed algorithms to read medical scans (X-rays, CTs, MRIs) and automatically detect diseases like fractures, osteoporosis, or lung problems. Often dubbed the “AI radiologist,” its suite of FDA-cleared tools can assist doctors by flagging urgent findings. Recent News: Now part of Nanox, the company is expanding with Nanox.AI solutions, including population health screening for conditions like fatty liver and coronary calcium scoring, using AI on existing scans. In Asia, where radiologist shortages are acute, Zebra’s tech has been trialed in India and Thailand for TB detection from chest X-rays. This company’s trajectory highlights the potential of Israeli AI in global healthcare and how integration with medtech hardware (Nanox’s novel X-ray machines) can broaden impact.
35. Aerodyne (Malaysia) – Drone Services and AI Analytics. Aerodyne is a leading drone services company from Malaysia, providing AI-powered aerial inspection solutions in over 35 countries. It uses drones equipped with cameras and sensors to collect data on infrastructure (power lines, wind turbines, plantations), then employs AI to analyze imagery for faults, crop health, etc. Aerodyne’s cloud platform leverages machine learning to turn raw aerial data into actionable insights (e.g. detecting a cracked solar panel or mapping flood damage). Recent Developments: In 2023, Aerodyne raised funds to develop specialized AI models for agriculture, enabling automated counting of palm oil fruit bunches and early pest detection via drone. It partnered with Japanese and Middle Eastern firms to extend smart city surveillance services using drone fleets. Recognized as a global top drone service provider, Aerodyne exemplifies how homegrown Asian companies are innovating at the intersection of UAVs and AI.
36. Nodeflux (Indonesia) – City-Scale Computer Vision. Nodeflux is an Indonesian AI startup focusing on vision-based analytics for smart cities and government. Its VisionAI platform can do license plate recognition, traffic analysis, crowd density monitoring, and CCTV analytics. Nodeflux was the first Indonesian company to be included in the NVIDIA Metropolis program and has provided its technology for Jakarta’s traffic control and security agencies. Recent News: In 2024, Nodeflux rolled out an updated facial recognition system for secure verification in fintech apps, aligned with Indonesia’s push for digital ID. It also worked on an AI model to detect violations of COVID mask mandates via CCTV, illustrating responsiveness to public needs. Nodeflux’s success has put Indonesia on the AI map, showing that world-class AI can emerge across Southeast Asia.
37. VinAI (Vietnam) – AI Research and Applications Lab. VinAI is Vietnam’s leading AI research company, backed by the conglomerate Vingroup. Initially founded as a pure research institute in 2019, it has since developed into a company offering products like computer vision for driver-assistance, video analytics, and natural language processing for Vietnamese. VinAI’s research papers in top conferences have put Vietnam on the global AI research stage. Recent Developments: VinAI built a driver monitoring system (DMS) using facial recognition to detect drowsiness or distraction, which is being integrated into VinFast electric cars. In 2023, it also released a Vietnamese language model (like a local GPT-3) to support startups building chatbots and voice assistants in Vietnamese. Despite being relatively young, VinAI’s blend of academic excellence and industry support showcases the rise of AI talent in South Asia.
38. Skelter Labs (South Korea) – AI Solutions and Conversational Commerce. Skelter Labs is a Seoul-based startup founded by a former Google AI director. It offers a range of AI solutions, including chatbots, speech recognition, augmented reality, and context-aware recommendations. A key product is its “AIQ” platform for conversational commerce, which helps retailers build AI chatbots that can guide online shoppers. Recent News: Skelter Labs was selected by major Korean banks to implement AI virtual assistants for customers, leveraging its strong Korean language NLP. In 2024, it unveiled an AI-based voice cloning service for personalized audio ads, reflecting innovation in marketing tech. The company also collaborates with universities on cutting-edge research (e.g. AI reasoning). As part of South Korea’s robust AI startup scene, Skelter Labs exemplifies the country’s focus on practical AI applications with a strong R&D foundation.
39. Kakao Brain (South Korea) – AI R&D Arm of Kakao. Kakao Brain is the AI subsidiary of Kakao Corp (the firm behind KakaoTalk, Korea’s largest messaging app). It conducts advanced research in deep learning and deploys AI across Kakao’s ecosystem (messenger, fintech, content). Kakao Brain developed the KoGPT Korean language model and has open-sourced various AI models for image generation and chat. Recent Developments: In 2023 Kakao Brain launched Beco, an AI-assisted coding tool (like GitHub Copilot but trained on Korean and for Kakao’s dev stack). They also partnered with Naver and others on a coalition to make Korean-language AI globally competitive. Kakao Brain’s image generator, Karlo, saw usage in Kakao’s content creation pipelines for webtoons and emoticons. With close ties to a tech giant, Kakao Brain bridges cutting-edge AI research and real-world consumer apps used by millions daily in Korea.
40. Rebellions (South Korea) – AI Chips and HPC. Rebellions is a Korean startup designing AI accelerators for data centers and defense applications. It gained attention with its Atom chip, optimized for AI inference, and was supported by the Korean government as part of an effort to reduce reliance on foreign AI chips. Recent News: In 2023, Rebellions raised a significant Series A and unveiled a new chip called Phoenix that supports large-scale language model inference at lower cost, targeting local cloud providers. The company also started pilot production of chips on Samsung’s 5nm process, an encouraging sign for Korea’s semiconductor autonomy. Rebellions’ progress is symbolic of Asia’s broader push into AI hardware, complementing its software advances.
41. Cyberdyne (Japan) – Robotics and AI in Healthcare. Cyberdyne is a Japanese robotics firm famed for its HAL exoskeleton suit, which helps patients with spinal injuries regain mobility. The suit uses bio-signal sensors and AI to interpret the wearer’s intended movement and assist accordingly. Cyberdyne’s AI capabilities lie in real-time signal processing and adaptive learning for motion support. Recent Developments: Cyberdyne’s HAL has been used in rehabilitation centers in Japan and Europe, and in 2024 the company introduced an AI-powered prosthetic arm that can learn and improve its control based on the user’s nervous signals. It also deployed robots for elder care that use AI to anticipate and respond to patient needs (e.g. fetching items or guiding them). Cyberdyne shows how AI and robotics can merge to augment human capabilities, addressing societal issues like aging populations.
42. SoftBank Robotics (Japan) – Social Robots. SoftBank Robotics (formerly Aldebaran Robotics) developed the famous Pepper humanoid robot and the NAO robot. These robots use AI for natural language interaction, emotion recognition, and autonomous navigation in environments like retail stores, banks, and hotels. Pepper, with its approachable design, was one of the first mass-produced service robots. Recent News: SoftBank Robotics faced challenges (Pepper production was paused in 2021 due to limited adoption), but in 2023 it renewed focus on enterprise applications – e.g. Pepper is now used in Japan for elderly monitoring, leveraging AI to detect if someone has fallen or needs help, and then alerting caregivers. The company also invested in cleaning robots and delivery robots that gained popularity during the pandemic. While SoftBank Robotics had ups and downs, it remains an icon in Asia’s robotics story and a testbed for human-robot interaction AI.
43. UBTech Robotics (China) – Humanoid and Service Robots. UBTech is a Chinese unicorn known for its humanoid robots and STEM education robots. Its flagship is Walker, a human-sized bipedal robot that can walk, climb stairs and grasp objects – showcasing cutting-edge balance and vision AI. UBTech also produces robotic assistants for malls and airports (e.g. Cruzr robot) that use AI for face recognition and customer service dialogues. Recent Developments: UBTech’s Walker X robot gave live demos at Expo 2020 Dubai, impressing with improved stability and interaction skills. In 2023, UBTech announced a partnership with a Chinese province to deploy robots as museum guides and security patrollers, leveraging AI to answer visitor questions and detect anomalies. They continue making strides in robotics AI (such as imitation learning for their walking robots) and are integrating generative AI for more natural conversations with their service robots.
44. CloudWalk (China) – Facial Recognition and Fintech AI. CloudWalk is one of China’s “CV four” computer vision giants (alongside SenseTime, Megvii, Yitu). It became known for providing facial recognition systems to Chinese banks for secure ATM withdrawals and identity verification. CloudWalk also powers airport security with face-ID boarding. Recent Developments: In 2022, CloudWalk went public on China’s STAR Market. It has since expanded into financial AI services, offering customer profiling and risk assessment tools to banks (building on its image analysis strengths to include voice and structured data). In 2023, CloudWalk launched a large vision-language model aimed at retail analytics (to compete in the multimodal AI space). Its secure, domestically-developed tech is appealing in government projects as China emphasizes local AI suppliers.
45. MiningLamp (China) – Big Data Analytics and Public Security AI. MiningLamp is often compared to Palantir for China. It provides a platform that fuses big data with AI to uncover insights, used extensively in public security, finance, and industrial analysis. For police, MiningLamp’s AI helps correlate disparate data (CCTV footage, transactions, social media) to assist investigations. In finance, it’s used for anti-fraud and recommendation systems. Recent News: MiningLamp was valued over $2B and has been a key AI provider for smart city initiatives. It’s investing in graph neural networks to improve its knowledge graph solutions. By 2025, MiningLamp’s systems were deployed in dozens of city police departments across China, illustrating how AI can dig value out of big data troves. The company’s name itself (“Mining the intangible lamp of data”) reflects its mission of illuminating hidden patterns with AI.
46. Grab (Singapore) – Superapp Using AI for Transport & Fintech. Grab is Southeast Asia’s leading superapp, offering ride-hailing, food delivery, and digital payments across 8 countries. While not an “AI company” per se, AI is deeply embedded in Grab’s operations: matching drivers to riders, routing, ETA predictions, dynamic pricing, fraud detection, and personalized restaurant recommendations are all driven by machine learning. Grab has an AI research lab in Singapore and has collaborated with local universities on AI projects (like optimizing traffic light algorithms to reduce city congestion). Recent Developments: In 2023, Grab launched an AI-based mapping improvement that cut driver travel times by analyzing GPS traces and suggesting route tweaks. It’s also using AI chatbots to handle customer support at scale in multiple languages. Grab’s fintech arm leverages AI for lending decisions (assessing users’ smartphone data for credit scoring). As Grab expands into digital banking (Grab-Singtel digibank) and more, its strategic use of AI to tailor services and drive efficiency cements its place in Asia’s tech landscape.
47. Yuanfudao (China) – AI in Education (Intelligent Tutoring). Yuanfudao is a Chinese online education unicorn that heavily uses AI to provide personalized learning. It offers live tutoring complemented by AI-driven features: a student can scan homework problems to get step-by-step solutions (thanks to a huge database and computer vision), and an AI coach provides practice questions adapted to the student’s level. Yuanfudao’s AI can analyze millions of students’ answers to identify common mistakes and adjust curricula. Recent Developments: Before China’s edtech crackdown in 2021, Yuanfudao raised over $3B (backed by Tencent) and was valued around $15B, making it the world’s most-valued edtech. It pivoted somewhat to comply with new rules, focusing on AI tools over live classes. In 2023, it unveiled an AI-powered math tutoring device and a large language model specialized in curriculum knowledge to serve as a virtual tutor. Yuanfudao’s scale (serving over 3 million students) and AI proficiency show how technology can augment education in Asia’s massive student populations.
48. GreyOrange (India) – AI in Robotics and Warehouse Automation. GreyOrange is a robotics startup originally from India (now HQ in the US) that automates warehouse and fulfillment operations with fleets of AI-powered robots. Its range includes sortation robots and autonomous mobile robots (AMRs) that move shelves or parcels to human pickers. The orchestration is managed by GreyMatter, their AI software that in real-time assigns tasks to each robot optimally. Recent Developments: GreyOrange has deployed systems at large retailers and 3PL providers across Asia, Europe, and the Americas. In 2024, it introduced a new sensing technology that allows its robots to adapt to unstructured environments (using AI to navigate warehouses that are less rigidly set up). It also partnered with Walmart Canada for a system that can handle the unique challenges of grocery fulfillment using robots. GreyOrange’s success underscores India’s contribution to robotics innovation and the global trend of AI-driven automation in logistics.
49. Terminus (China) – AIoT and Smart City Robotics. Terminus is a Chinese AIoT company focusing on smart city solutions and service robots. It gained international attention as the premier robotics partner for Expo 2020 in Dubai, where its robot ambassadors guided visitors and provided information using multilingual NLP. Terminus deploys integrated AI systems for city management – from smart street lighting and waste management to security drones – all connected via its platform. Recent Developments: Terminus launched a new robot barista and smart restaurant concept in 2023, blending robotics with AI to showcase automated services. It also expanded in the Middle East, opening an AIoT park in Saudi Arabia as part of the NEOM smart city project. Backed by prominent investors (even SoftBank), Terminus illustrates the convergence of AI, IoT, and urban development in Asia’s fast-growing cities, providing infrastructures that learn and adapt to city life.
50. Qure.ai (India) – Medical Imaging AI. Qure.ai is an Indian health-tech startup (partly incubated by Fractal Analytics) that builds AI for radiology. Its algorithms can interpret chest X-rays, head CT scans, and other images to detect critical abnormalities (e.g. TB, fractures, stroke indicators) in seconds, aiding doctors. Recent Developments: Qure.ai’s chest X-ray product received CE and FDA approvals and was deployed in public health programs across Southeast Asia and Africa to screen for tuberculosis (with the AI reading X-rays in remote clinics where no radiologist is on site). In 2023, Qure.ai expanded its partnership with the UK’s NHS and published research showing its brain CT scan AI could identify brain bleeds as accurately as expert radiologists. Small but specialized, Qure.ai represents the impact of AI startups from South Asia addressing global healthcare challenges through innovation.

These top 50 AI companies highlight Asia’s diverse and dynamic AI landscape. From Chinese tech titans advancing large-scale AI models and chips, to innovative startups in India, Southeast Asia, the Middle East, and East Asia applying AI in novel ways, the region has become a global epicenter of AI development. Our ranking methodology balanced innovation, funding, impact, and regional relevance to surface both the well-known giants and the rising stars across key sectors like fintech, healthcare, enterprise software, robotics, education, and autonomous systems. Notably, recent years (2023–2025) have seen generative AI and foundation models emerge as a unifying trend – with many Asian firms developing their own large language models or adapting them for local languages and uses, signaling a maturing ecosystem.

As Asia continues to invest heavily in AI research, talent development, and startup growth (China and Singapore leading in private AI investment, India rapidly increasing its AI startup count, and Middle Eastern players like G42 bringing massive resources), we can expect its companies to not only lead in their home markets but also shape the global AI industry. The companies listed are strategically poised in that regard, whether through cutting-edge innovation or sheer scale of deployment. Each contributes to making AI more ubiquitous and beneficial – from safer transport and smarter cities to better healthcare and more efficient businesses – across Asia and the world.

Disclaimer

This ranking of the “Top 50 AI Companies in Asia (2025)” has been prepared for informational and editorial purposes only. The methodology and parameters used—such as innovation, funding, revenue, market impact, regional influence, and strategic relevance—are based on publicly available information, industry reports, and company announcements as of 2023–2025. While every effort has been made to ensure accuracy, completeness, and fairness, the list does not constitute financial advice, investment recommendation, or an endorsement of any specific company. Readers are encouraged to conduct independent due diligence and consult primary sources before making business, investment, or strategic decisions. The views expressed herein are those of the editorial team and may not fully capture the rapidly evolving AI landscape in Asia.