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Asia/Pacific Industry-Specific GenAI Use Case Adoption and Their Agentic Transitions

Deepika Giri, Daeil Chun, Shashank Nigam — Tue, 09 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation spotlights the accelerating evolution of Asia/Pacific enterprises as they move decisively from generative AI (GenAI) pilots to full-scale, agentic AI deployments. Leading organizations in BFSI, retail, manufacturing, healthcare, and government are harnessing agentic, multimodal AI to automate mission-critical workflows, drive operational excellence, and unlock adaptive, data-driven business models. Despite this momentum, enterprises face persistent barriers around cost, regulatory complexity, and output reliability. To capture GenAI's transformative value, tech buyers must prioritize industry-tailored frameworks, invest in autonomous orchestration, and embed robust compliance strategies at every stage of deployment.

"Agentic AI is fundamentally reshaping industry operations across Asia/Pacific, driving enterprises beyond incremental productivity to achieve truly adaptive, autonomous, and value-centric transformation. The leaders in this new era will be those who embed trust, regulatory compliance, and explainability at the core of their AI strategies," says Deepika Giri, associate VP, IDC Asia/Pacific.

Beyond Triage: The Additive Settlement for Digital Operations

Shannon Kalvar, Amy Loomis, Ph.D., Archana Venkatraman — Tue, 09 Jun 2026 04:00:00 GMT

This IDC Perspective introduces the additive settlement — a deliberately negotiated operating model that redefines the relationship between human authority, machine-scale action, and institutional governance. Enterprises that invest in AI-assisted operations often discover they have made triage faster without escaping it, compressing chaos while leaving human talent trapped in reactive work. This document examines what changes in daily work across four operational roles, makes the human-machine boundary explicit as a governance instrument, and identifies the predictable fragilities that lead to developmental and strategic starvation.

"The question is no longer whether AI can handle operational complexity. It is whether the enterprise has negotiated a settlement that makes human judgment genuinely strategic rather than permanently reactive," said Shannon Kalvar, research director, Enterprise Systems Management, Observability, and AIOps at IDC.

Workday DevCon 2026: Making Workday Build Agent-Ready

Adam Reeves — Tue, 09 Jun 2026 04:00:00 GMT

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At its annual DevCon conference on June 2, 2026, Workday announced Developer Agent, Agent-Ready Tools, and Agent Passport, a set of developer tools that represent the next phase of its Workday Build platform, introduced at Workday Rising in September 2025. Taken together, these announcements indicate that Workday is making a deliberate, and increasingly credible, effort to reposition itself as an enterprise platform for developers rather than a proprietary developer ecosystem, with security and governance as the primary differentiators.

Bloomreach Brings Enterprise Personalization to Shopify Merchants with Loomi AI

Gerry Murray — Mon, 08 Jun 2026 04:00:00 GMT

By bundling its full AI personalization stack — search, recommendations, promotions, and omni-channel marketing — into a no-code Shopify app at no additional cost for AI capabilities, Bloomreach simultaneously expanded its addressable market by orders of magnitude and raised the competitive bar for personalization vendors who still charge separately for AI.

The Data Signals Economy: Signal Coverage, Provenance, and the Risk-Based Architecture of Financial Crime Prevention

Sam Abadir, Aaron Press — Mon, 08 Jun 2026 04:00:00 GMT

This IDC Perspective discusses how financial institutions are not relying on a single vendor to manage financial crime compliance. IDC survey data shows that the majority of banking institutions use three or more vendors in their financial crime compliance program, spanning KYC, transaction monitoring, and fraud. Only 14% of institutions operate with a single vendor, while 66% use three or more vendors. This reflects the operational reality that no single platform addresses the full spectrum of financial crime risk and that multivendor architectures are the norm, not the exception, in mature financial crime programs.

"Financial crime is evolving faster than the control frameworks built to detect it. The IDC Data Signals Economy Framework gives institutions a structured way to think about this problem. It is not enough to ask whether you have the right tools. You have to ask whether the signals feeding these tools are of the right quality, from the right sources, and calibrated against the right threat population for your specific risk environment. This is a different question, and it leads to better decisions," said Sam Abadir, research director, Risk, Compliance, and Financial Crime, IDC.

The Three Pillars of Modern Grid Software: ADMS, Grid DERMS, and Edge DERMS

Gaia Gallotti, Jean-François Segalotto, John Villali — Mon, 08 Jun 2026 04:00:00 GMT

This IDC Perspective defines and contextualizes three foundational platform categories in utility distribution grid management: advanced distribution management systems (ADMSs), grid distributed energy resource management systems (grid DERMSs), and edge distributed energy resource management systems (edge DERMSs). Drawing on IDC Energy Insights' primary research and market intelligence, this document establishes precise functional definitions for each platform, articulates the distinct system-of-record roles they occupy within a layered grid architecture, and presents a strategic vision for how the integration of these three platforms enable utilities to manage the modern, DER-rich distribution grid with a holistic approach to grid management that supports reliability, decarbonization efforts, and regulatory compliance.

"The utilities that will define the next era of distribution grid excellence are those that invest not just in individual platforms but in the integration architecture that makes ADMS, grid DERMS, and edge DERMS work as a unified whole. Clarity in the definition of these systems and in their purpose and functionalities is where that journey begins, " said John Villali, senior research director, IDC Energy Insights.

Agentic AI Is Rewriting PaaS Decision-Making

Adam Reeves — Fri, 05 Jun 2026 04:00:00 GMT

Agentic AI is driving structural disruption in the PaaS market, with 80% of enterprise platform decision-makers reconsidering their portfolios as vendors converge on integrated architectures spanning development tooling, agent life-cycle management, governance, and data access. Developer enablement is a primary mechanism through which platform selection happens, with developers influencing 47% of cloud adoption and vendor selection spend. Enterprise IT leaders who govern developer toolchain adoption, assess governance depth, and require portability terms before committing will be better positioned than those who allow platform dependencies to accumulate by default.

"The worst outcome for enterprise IT is not choosing the wrong PaaS platform in the age of agentic AI. It is making no deliberate choice while dependencies accumulate by default," says Adam Reeves, research director, PaaS for Developers of Modern and Edge Applications, IDC.

Best in Future of AI Center of Excellence Winner Award Profile 2025

Deepika Giri, Shashank Nigam, Daeil Chun — Fri, 05 Jun 2026 04:00:00 GMT

This IDC study discusses the development and impact of AXA Hong Kong and Macau’s AI Center of Excellence (CoE) that centralizes AI strategy and governance, aligning advanced initiatives with business goals to drive efficiency and innovation. By integrating scalable infrastructure, ethical oversight, and continuous talent development, the CoE embeds AI across operations and empowers employees, positioning AXA as an industry leader in responsible and impactful AI adoption.

“A truly visionary AI Center of Excellence is not just a hub for technology, it is the strategic engine that transforms business objectives into measurable innovation, ensuring every AI initiative drives real value and positions the organization ahead of the curve,” says Deepika Giri, associate VP, IDC Asia/Pacific.

IDC CIO Summit Türkiye 2026: Agentic Systems and the Next Chapter for Turkish CIO Leadership

Eren Eser, Melih Murat — Fri, 05 Jun 2026 04:00:00 GMT

This IDC Perspective summarizes the key themes and consequential implications from IDC's 17th CIO Summit Türkiye, held on May 6–7 2026 at Elite World Grand, Sapanca, Türkiye, under the banner "The Rise of Agentic Systems." The event brought together more than 400 CIOs, CTOs, and senior technology leaders to discuss AI-powered enterprise transformation. This document distills the most consequential themes, on-stage debates, and customer stories from the event.

"Türkiye now has the talent, the leadership, the case studies and, increasingly, the local infrastructure to compete at the leading edge of the agent economy. The 17th IDC CIO Summit Türkiye made clear that the Turkish CIO is ready to lead that conversation. The next move is to scale." — Eren Eser, associate research director, IDC's Global Services Insights

IDC PlanScape: AI-Enabled Carbon Management

Bjoern Stengel — Fri, 05 Jun 2026 04:00:00 GMT

This IDC PlanScape helps technology decision-makers understand the market for AI-enabled carbon management, identify use cases where AI delivers the most value today, evaluate vendors against IDC's research, and chart a pragmatic adoption path based on their organization's current maturity. The business case is increasingly tangible: Leading adopters report material reductions in external consulting spend on reporting and assurance, redeployment of sustainability analyst time from data wrangling to decarbonization strategy, faster close cycles for disclosure, and improved auditability of AI-derived numbers — outcomes that compound as Scope 3 and product carbon footprint (PCF) requirements expand.

"AI is changing the economics of carbon management. Tasks that once required armies of consultants — finding the right emission factors, reconciling supplier data, drafting disclosures, and modeling decarbonization pathways — are increasingly being automated. Buyers should view AI-enabled carbon management not as an incremental upgrade to their reporting stack but as the foundation for moving from disclosure to delivery on their climate commitments and realization of more advanced forms of sustainable business value," said Bjoern Stengel, lead, Global Sustainability Research and Practice at IDC.