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Asia/Pacific Regulatory Pulse 2026: Upcoming Financial Services Institution Regulations, Expected Impacts, and Complexity

Clay Miller, Michael Sek Pheng Yeo — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Perspective examines the Asia/Pacific regulations most likely to affect FSIs’ technology road maps through 2026 and beyond, covering AI governance, digital assets, solvency and climate risk, operational resilience, and data privacy. It assesses developments across Singapore, Hong Kong, China, Australia, Japan, South Korea, and other markets, and offers guidance on turning compliance into competitive advantage.

“By 2027, most of the region’s AI, digital asset, and resilience compliance has moved from proposal to enforcement,” says Clay Miller, adjunct research advisor, IT Executive Programs (IEP), IDC. “The FSIs leading are not the ones with the most documented policies, they are the ones that can prove that their systems are governed, auditable, and resilient.”

“Digital assets and cross-border data governance went from footnotes to headline considerations for what is rapidly becoming a common global theme,” says Michael Yeo, associate research director, IDC Financial Insights. “Both focus directly on technology architecture, so FSIs that treat either as a niche compliance initiative will be reactive versus proactive for requirements they should have anticipated. Institutions must embed both digital asset considerations and data governance frameworks into their core business strategies moving forward.”

Fit Over Formula: Rethinking Implementation Strategy for Sustainability Software

Amy Cravens — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Perspective analyzes results from IDC’s 2026 Sustainability Software Survey of 8,663 use case–level observations and 816 respondents ) to assess how the implementation model affects outcomes and satisfaction. Data shows that organizational readiness, integration depth, and training investment are stronger predictors of outcomes than the implementation model (vendor-led, self-implemented, or partner-/consultant-led) chosen. The document presents four data-driven patterns on winning deployment models and provides guidance for evaluation, budgeting, and internal readiness based on these findings.

“There is no universally best way to implement sustainability software. The real risk is a half-finished integration, which IDC data shows directly impacts satisfaction and value extraction. Buyers should match implementation to their readiness and commit fully to integration and training,” says Amy Cravens, research manager on sustainability and ESG software, IDC.

IDC PeerScape: Practices to Successfully Implement Agentic AI Governance

Stanley B. Gibson — Tue, 06 Oct 2026 04:00:00 GMT

This IDC PeerScape examines how IT leaders from Sanofi, the government of Île de France, and a clinical research organization that requested anonymity are seeking to gain the benefits of agentic AI while controlling flaws that could put their organizations at risk. All three are implementing agentic AI in the face of regulatory pressure, reinforcing the imperative for strict governance.

“For IT leaders, agentic AI is a high-wire act. On one hand, neglecting this powerful new technology could jeopardize a company’s future due to missed opportunities. On the other hand, a poor implementation exposes a company to myriad risks that could result in significant costs and liabilities,” said Stanley B. Gibson, adjunct research advisor for IDC’s IT Executive Programs (IEP).

AI-ification of Retail Media

Ananda Chakravarty — Mon, 05 Oct 2026 04:00:00 GMT

This IDC Perspective provides a viewpoint of how AI is changing the game with respect to mapping current attribution metrics in retail media. The report also reviews how AI addresses audience targeting as well as attribution through a set of techniques being pioneered by firms such as Amazon, Walmart, and other retail media networks (RMNs). The report also highlights marketing mix modeling and how this may move the market toward a more holistic view of retail media. Finally, the report identifies the flaws of return on ad spend (ROAS) attribution and how AI may overcome these flaws through new attribution methods.

“When your retail media metrics say 10x returns, but you’re barely breaking even, it’s time to revisit attribution. AI is changing the retail media game. New AI models are being rolled out by the most sophisticated RMNs to drive precise attribution. It’s time for a reset,” said Ananda Chakravarty, research vice president, IDC Retail Insights.

IDC MaturityScape: AI Cost Management 1.0

Serge Findling, Heather Herbst — Mon, 05 Oct 2026 04:00:00 GMT

This IDC MaturityScape provides a framework for evaluating enterprises' maturity in terms of managing AI costs. It enables CFOs, CIOs, C-suite executives, senior IT leaders, enterprise architects, and technology leaders to assess current capabilities, define the maturity required by enterprise strategy, and prioritize actions to close the gap. The framework progresses across five connected dimensions.

"Enterprises that win the AI decade will not be those that spent the most money, but those that turn cost into a system they could see, govern, and trust," said Serge Findling, adjunct research advisor with IDC's IT Executive Programs.

"This is not a time to panic; it is a time to build discipline and ownership. It also presents an opportunity to understand that AI will cost organizations by their usage and not everything is worth using AI for," said Heather Herbst, research director, CFO Buyer Insights at IDC.

IDC ProductScape: Worldwide Virtual Client Computing, 2026 — Technology Supplier Solution Functionality

Shannon Kalvar, Filippo Vanara — Mon, 05 Oct 2026 04:00:00 GMT

This IDC ProductScape offers a comprehensive guide on the key functionalities of virtual client computing, featuring products from Microsoft, Omnissa, Citrix, Parallels, AWS, Inuvika, Leostream, V2 Cloud, Nerdio, Dizzion, and Workspot. The status of each functionality is categorized as fully supported, partially supported, partner provided, road map, or not supported, aiding technology purchasers in quickly identifying which vendors align with their changing requirements.

AI-Infused GRC Tooling

Erik Werson — Fri, 02 Oct 2026 04:00:00 GMT

This IDC Perspective discusses how artificial intelligence represents the next evolution of governance, risk, and compliance (GRC) platforms. Traditional GRC solutions have long automated workflows, compliance monitoring, and control management through rules-based processes and system integrations. Modern AI builds on these foundations by introducing predictive intelligence, natural language capabilities, and increasingly autonomous decision support.

AI enhances the core GRC functions through capabilities such as regulatory change management, predictive risk analytics, intelligent control mapping, and automated evidence collection. Beyond these functions, AI-powered assistants, workflow automation, and decision-support capabilities improve operational efficiency while allowing GRC professionals to focus on strategic responsibilities.

However, AI should augment rather than replace human judgment, with accountability for governance and compliance decisions remaining firmly under human oversight. As AI capabilities evolve toward predictive, generative, and agentic models, organizations must also ensure explainability, transparency, and responsible AI governance.

When selecting an AI-infused GRC platform, organizations should evaluate alignment with business objectives, AI capabilities, capability maturity, and the trustworthiness of AI-generated outputs to maximize long-term business value and organizational resilience.

"The success of an AI-infused GRC platform is determined by more than the sophistication of its AI capabilities," says Erik Werson, adjunct research advisor for IDC's IT Executive Programs (IEP). "Organizations should evaluate whether the platform aligns with their business objectives, provides mature and trustworthy AI capabilities, and supports transparent, explainable decision-making to maximize long-term business value and organizational resilience."

Avalara CRUSH 2026: Moving Tax Automation Toward Agentic Compliance

Kevin Permenter — Fri, 02 Oct 2026 04:00:00 GMT

On September 22–24, Avalara hosted CRUSH 2026 in Fort Lauderdale, Florida, with agentic AI as the central theme. Avalara introduced Avalara Aviator, an agent hub for tax and compliance, and made Versori by Avalara, an agentic integration fabric, available. IDC views Aviator as a credible step toward governed orchestration of compliance work, but its value will depend on measurable results once it is generally available and on how it is packaged and priced after the initial no-additional-cost period.

IDC PeerScape: Peer Insights for Small Language Model Deployment

David Weldon — Fri, 02 Oct 2026 04:00:00 GMT

This IDC PeerScape examines practices that organizations have used and can use to transform SLM usage from experimental deployment to managed infrastructure.

"Like all machine learning (ML) systems, SLMs can degrade over time due to data shifts, new use cases, or changing input distributions. Organizations need to monitor SLMs closely, with periodic evaluation cycles to detect model drift and unintended output patterns. Otherwise, performance issues can easily go unnoticed," says David Weldon, adjunct research advisor for IDC's IT Executive Programs (IEP).

IDC PlanScape: Technology Unit Cost Management

Gerald Johnston — Fri, 02 Oct 2026 04:00:00 GMT

This IDC PlanScape examines the shift toward treating technology unit cost management as an ongoing operational discipline.

According to Gerald Johnston, adjunct research advisor for IDC’s IT Executive Programs (IEP), “CIOs and their teams need to go beyond managing budgets and deliver cost-competitive solutions for their business. Doing this requires financial literacy, understanding, and discipline that is often lacking in IT organizations.”