{"id":1212,"date":"2025-04-30T07:10:25","date_gmt":"2025-04-30T07:10:25","guid":{"rendered":"http:\/\/www.fresnoforeclosure.com\/?p=1212"},"modified":"2025-04-30T10:24:07","modified_gmt":"2025-04-30T10:24:07","slug":"2025-trend-forecast-fintech-healthcare-and-robotics-lead-the-ai-charge-in-asia","status":"publish","type":"post","link":"http:\/\/www.fresnoforeclosure.com\/index.php\/2025\/04\/30\/2025-trend-forecast-fintech-healthcare-and-robotics-lead-the-ai-charge-in-asia\/","title":{"rendered":"2025 trend forecast: Fintech, healthcare, and robotics lead the AI charge in Asia"},"content":{"rendered":"
Ranvish Vir, Growth Lead for Middle East and APAC at Nebius<\/p>\n<\/div>\n
As artificial intelligence (AI) moves from experimentation to enterprise adoption, 2025 is set to be a transformative year, particularly in Southeast Asia (SEA).<\/p>\n
In an interview with e27<\/strong>, Ranvish Vir, Growth Lead for Middle East and APAC at Nebius, outlined the key trends likely to shape the region, from infrastructure scaling to sovereign models and industry-specific adoption.<\/p>\n One of the most significant shifts expected next year is the rise in demand for AI-optimised cloud and compute infrastructure. As more companies embed AI into core business operations, existing systems are being stretched to meet growing needs for real-time processing, model fine-tuning, and large-scale inferencing.<\/p>\n \u201cWe expect cloud and compute power demand in SEA to accelerate significantly in 2025,\u201d said Vir. \u201cAs AI infrastructure investment surges, led by companies like Nebius, Nvidia, and Accel-backed cloud providers, businesses will increasingly turn to AI-native cloud platforms and GPU-powered infrastructure to scale their AI capabilities.\u201d<\/p>\n Traditional general-purpose cloud platforms are giving way to infrastructure explicitly designed for the specific workloads. Vir pointed out that the need for scalability and cost efficiency propels this shift.<\/p>\n Also Read: How Agentic AI will create telecom\u2019s first truly autonomous workforce by 2030<\/a><\/strong><\/p>\n Several sectors stand out as early and aggressive adopters of AI technologies in 2025.<\/p>\n \u201cIn 2025, the most aggressive adopters of AI technologies in Asia will be fintech, healthcare, logistics\/supply chain management, gaming, and robotics,\u201d said Vir. \u201cEach industry is driven by efficiency gains, cost optimisation, and regulatory or consumer-driven advancements.\u201d<\/p>\n Fintech is expected to see increased use of the technology in fraud detection, algorithmic trading and personalisation of digital banking. \u201cAI adoption … will accelerate as financial institutions seek real-time risk assessment, personalised financial services, and enhanced cybersecurity,\u201d he added.<\/p>\n Vir further highlighted how functionalities vary across industries. For example, healthcare is becoming a key beneficiary of predictive analytics, diagnostics, and accelerated drug discovery.<\/p>\n \u201cAI-driven predictive analytics, autonomous decision-making, and real-time optimisation will be essential for managing complex logistics networks, last-mile delivery, and inventory forecasting,\u201d he noted.<\/p>\n \u201cThe gaming industry is also emerging as a key frontier, with developers using generative models and agentic AI to power more adaptive, immersive, and personalised player experiences,\u201d he said. \u201cAt the same time, robotics is gaining traction across manufacturing, healthcare, and smart city deployments.\u201d<\/p>\n Another defining trend for 2025 will be the rise of sovereign AI initiatives and developing homegrown models by startups in Asia.<\/p>\n \u201cThe next wave of AI competition will be defined by how well homegrown models adapt to regional business needs while ensuring AI sovereignty and data security,\u201d Vir explained. Local models offer a strategic advantage as AI laws tighten and privacy regulations evolve.<\/p>\n Vir stated, \u201cThe increased availability of AI infrastructure can pave the way for more homegrown AI models spearheaded by Asian startups. These have the potential to rival global players in performance and availability.\u201d<\/p>\n Also Read: The product management strategy behind building AI agent platform<\/a><\/strong><\/p>\n Examples from countries such as Singapore, India, and Indonesia\u2014each investing in national AI strategies\u2014underscore this shift. \u201cWe expect to see a rise in sovereign and national AI models … with governments providing funding, regulatory support, and sandboxes for startups to test new models,\u201d he added.<\/p>\n Despite the momentum, several challenges could slow progress. First among these is regulatory complexity, particularly around data localisation.<\/p>\n \u201cCross-border data transfers will become more restricted, creating compliance challenges for businesses relying on global AI models and cloud services,\u201d said Vir. \u201cCountries enforcing stricter data sovereignty regulations will require companies to rethink data storage, processing, and AI deployment strategies.\u201d<\/p>\n Talent remains another significant bottleneck. \u201cThe gap between AI talent demand and supply will become more pronounced,\u201d he warned. Citing a recent survey, Vir noted that \u201cone in three Singapore businesses struggle to find AI talent in the country.\u201d This could increase the use of AI-assisted software development and low-code\/no-code tools to compensate.<\/p>\n Energy consumption and sustainability are growing concerns, especially as governments push for greener infrastructure. \u201cEnergy consumption concerns related to AI workloads will become more pressing,\u201d he added.<\/p>\n Geopolitical risks also loom large. \u201cIncreasingly complex export control regulations and geopolitical considerations … can restrict access to state-of-the-art GPUs and AI hardware in certain markets,\u201d said Vir.<\/p>\n As businesses and governments across SEA double down on investment, 2025 will be marked by a race to scale responsibly.<\/p>\n \u201cInfrastructure providers, startups, and governments must work together to create sustainable, high-performance AI ecosystems tailored to regional needs,\u201d said Vir.<\/p>\n —<\/p>\n Image Credit: Nebius<\/p>\n The post 2025 trend forecast: Fintech, healthcare, and robotics lead the AI charge in Asia<\/a> appeared first on e27<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" Ranvish Vir, Growth Lead for Middle East and APAC at Nebius As artificial intelligence (AI) moves from experimentation to enterprise adoption, 2025 is set to be a transformative year, particularly in Southeast Asia (SEA). In an interview with e27, Ranvish Vir, Growth Lead for Middle East and APAC at Nebius, outlined the key trends likely […]<\/p>\n","protected":false},"author":1,"featured_media":1214,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[14],"tags":[],"_links":{"self":[{"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/posts\/1212"}],"collection":[{"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/comments?post=1212"}],"version-history":[{"count":2,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/posts\/1212\/revisions"}],"predecessor-version":[{"id":1215,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/posts\/1212\/revisions\/1215"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/media\/1214"}],"wp:attachment":[{"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/media?parent=1212"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/categories?post=1212"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.fresnoforeclosure.com\/index.php\/wp-json\/wp\/v2\/tags?post=1212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Rise of sovereign AI and localised models<\/h1>\n