rssitbuyer

IDC MarketScape: Worldwide Dynamic Application Security Testing 2026 Vendor Assessment

Katie Norton — Thu, 10 Sep 2026 04:00:00 GMT

This IDC study evaluates 16 vendors in the worldwide dynamic application security testing (DAST) market. It provides a detailed assessment of each vendor's strengths, challenges, and approach to testing running applications. This research followed the IDC MarketScape methodology, incorporating in-depth vendor briefings and surveys, along with customer reference interviews to present a comprehensive view of the DAST landscape and market trends shaping vendor selection.

"Code is moving into production faster and with less scrutiny, and applications themselves are becoming more nondeterministic, making runtime testing more critical than it has been in the past," said Katie Norton, research director for Cloud Security at IDC. "This evaluation provides a consistent, side-by-side assessment of vendor strengths and challenges, helping organizations identify the DAST solution best suited to their application environment and risk priorities."

IDC MarketScape: Worldwide Life Sciences R&D RWD/RWE for Data Platforms, Technology Solutions, and Consulting Services 2026 Vendor Assessment

Nimita Limaye — Thu, 10 Sep 2026 04:00:00 GMT

This IDC study presents an IDC MarketScape assessment of the worldwide life sciences R&D RWE, RWD, platforms, technologies, and consulting services market. It evaluates the strategies and capabilities of key vendors in this space and represents a qualitative and quantitative assessment based on criteria that should be important to life science companies when considering the selection of an RWD/RWE technology solution provider. As data volumes explode, AI reshapes what is possible, and regulators lean further into RWE, this study captures an industry in the midst of a decisive shift from experimentation to enterprise-scale execution. This is the second time that an IDC MarketScape assessment on this topic in life sciences has been performed.

"Real-world data has quietly become the connective tissue of modern drug development. As data volumes explode, AI reshapes the art of the possible for evidence generation, and regulators lean further into RWE, the life sciences industry is undergoing a decisive shift from experimentation to enterprise-scale execution. Those who can exponentially accelerate the transformation of data into evidence that regulators trust, payers accept, and patients ultimately benefit from, will win," said Dr. Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology, IDC.

Critical External Drivers Shaping Global IT and Business Planning, 2027: Understanding Key Factors, Maturity Road Map, and Volatility Analysis

Alan Webber — Wed, 09 Sep 2026 04:00:00 GMT

This IDC Tech Buyer Presentation expands on the 20 external drivers presented in the IDC Tech Buyer Presentation Critical External Drivers Shaping Global IT and Business Planning, 2027, which are expected to shape enterprise IT and business planning through 2031. These drivers span AI competitive dynamics, energy and infrastructure constraints, geopolitical fragmentation, regulatory shifts, labor markets, climate, demographics, and cybersecurity. Each driver is further examined, looking at the key factors driving accelerants and constraints, a five-year maturity road map, and a volatility analysis and rating, paired with an illustrative scenario showing one way it could play out.

IDC MarketScape: Worldwide AI-Driven Business Cycle in the Media Industry 2026 Vendor Assessment

Alex Holtz — Wed, 09 Sep 2026 04:00:00 GMT

This IDC study assesses global vendors that enable AI-driven business cycle in the media industry, highlighting the shift from isolated AI features to an agentic orchestration layer spanning business operations, production, distribution, and monetization. The document details market trends, adoption trajectories, vendor strengths and challenges, and strategic recommendations, emphasizing that orchestration architecture, data governance, and outcome-based measurement are now central to competitive advantage and investment decisions for media organizations worldwide.

"In 2026, the media industry's competitive edge won't be defined by isolated AI features, but by the orchestration layer that unifies business operations, production, distribution, and monetization. The question is no longer which tool to buy, but which architecture to anchor your future on. Are you ready to compete at the speed of agentic intelligence?," asks Alex Holtz, research director for Media and Entertainment Digital Strategies at IDC.

Agentic Orchestration Fills the Chart: Media Networks Reach Maturity in Grocery Retail

Alex Holtz, Ornella Urso, Filippo Battaini, Margot Juros — Tue, 08 Sep 2026 04:00:00 GMT

This IDC Perspective examines how grocery retail media — the most mature, highest-revenue commerce media vertical IDC has studied — is confronting agentic AI shopping assistants that plan and build a shopper’s cart directly, ahead of the sponsored search inventory that the category has monetized for a decade. Confirmed, disclosed programs at Walmart Connect, Kroger Precision Marketing, Albertsons Media Collective, and Instacart’s Carrot Ads already generate billions of dollars a year through named DSP integrations and clean room infrastructure; Walmart’s Sparky, Amazon’s Alexa for Shopping, and Kroger’s Google Gemini–built assistant are the next front, arriving with no disclosed advertising layer built around them yet. This document details what is confirmed to exist, what remains an open question, and what operators, brand advertisers, agencies, and technology vendors need to do differently over the next 24 months.

“Agentic shopping assistants like Walmart’s Sparky and Amazon’s Alexa for Shopping are built to finish the purchase decision before a sponsored placement ever gets a chance to compete — the same upstream interception challenge we’re already watching AI concierges create in travel, arriving in the one vertical that has monetized shopping the longest,” says Alex Holtz, research director, Worldwide Media and Entertainment Digital Strategies, IDC.

“Grocery retail media didn’t just arrive first — it built the DSP integrations, clean rooms, and identity infrastructure that every other vertical is still trying to replicate. The next test isn’t scale; it’s whether this infrastructure can be extended to cover a cart an AI agent builds before a shopper ever sees a sponsored placement,” says Filippo Battaini, research manager, IDC Retail Insights.

IDC PlanScape: GRC Optimization to Tame Agentic AI

Christopher Tozzi — Tue, 08 Sep 2026 04:00:00 GMT

"To a significant extent, agentic AI is just the latest in a series of technological disruptions that have pushed enterprises to rethink fundamental aspects of their new GRC strategies over the past decade," says Chris Tozzi, adjunct research advisor for IDC's IT Executive Programs (IEP). "Still, the unique challenges that AI agents present require unique GRC solutions that extend beyond conventional governance controls and automation techniques."

Nobody Owns AI Guardrails, and That’s Why the Fights Are Just Starting

Alan Webber — Tue, 08 Sep 2026 04:00:00 GMT

This IDC Perspective lays out the vocabulary and ownership structure behind AI guardrails for defense, intelligence, and allied government AI adoption and uses the current dispute between the Department of Defense and Anthropic as a live precedent for how these disputes now surface directly in contract negotiation. It provides guidance for vendors, for defense and intelligence agencies across the United States, NATO, and Five Eyes, and for civilian national governments adapting defense-derived practices to different risk and disclosure contexts. Three questions of categorical limits versus operational discretion, guardrails as a negotiable contract term, and jurisdictional fragmentation across allied requirements remain open.

“No single vendor owns the AI guardrail stack, and that gap is exactly why the fight over AI safety has moved out of engineering and into contracts and legislation,” says Alan Webber, program vice president for Defense, National Security, and Intelligence at IDC. “Sovereignty, governance, and guardrails all depend on each other, and treating any one of them as a fixed spec instead of an ongoing negotiation is how organizations end up governing systems they don’t actually control.”

The Unknowns of Intelligent Risk: Risk and Uncertainty Management in AI-Driven Economies

Sam Abadir — Tue, 08 Sep 2026 04:00:00 GMT

This IDC Perspective argues that AI-related cost and governance risk in financial services behaves differently than the macroeconomic risks institutions already know how to manage. Approval controls exist at launch. Almost nothing watches spend afterward. Tech leaders building AI risk governance and vendors selling into it both need to account for that gap.

“The institutions in this data are not short on AI risk controls,” says Sam Abadir, research director, Risk, Financial Crime, and Compliance, IDC. “They are watching the wrong end of the process. The approval gate is crowded. The moment the spending actually happens is not.”

What to Buy Next: A Maturity Framework for Adopting Agentic AI as Digital Labor in Government

Samuel Young, Alan Webber — Tue, 08 Sep 2026 04:00:00 GMT

This IDC Perspective explains how government technology leaders can decide what to purchase next when adopting agentic AI as digital labor. Government agencies face a recurring budget-cycle challenge: Capability is advancing faster than most organizations can absorb, and the most advanced agent on the market rarely fixes the real constraint. IDC's six-pillar maturity framework for adopting agentic AI as digital labor provides a way to diagnose that constraint as a single dependency chain rather than a set of separate purchases. Paired with guidance for federal, state, and local leaders, it offers technology leaders a sequenced path from digitized services and data foundations through integration and workforce readiness to agentic AI running in production.

"Most agentic AI projects arrive in the wrong order. Agencies buy the agent first and hope the data, the process, and the trained staff show up later," says Samuel Young at IDC. "Flip that order and the same purchase looks completely different."

Fujitsu’s July 2026 Executive Analyst Day: Executing on the Fujitsu Management Vision 2035, from MONAKA Silicon to Sovereign Orchestration

Lars Goransson, Linus Lai, Andrea Siviero — Mon, 07 Sep 2026 04:00:00 GMT

This IDC Perspective presents highlights from Fujitsu’s Executive Analyst Day 2026 held across three days (July 14–16). The event covered Management Vision 2035, Fujitsu’s AI strategy (Kozuchi, Takane, and the AI-Driven Software Development Platform), its international and Uvance business, global delivery, and its MONAKA processor and quantum computing road maps. The biggest takeaways for IDC are threefold: Fujitsu’s move to own every layer of a named Sovereign Orchestration stack from silicon to consulting; its restructuring of Uvance and global delivery around named verticals and service lines, backed by the GK Software acquisition and Wayfinders consulting; and dated proof points, chiefly a 1,024-qubit quantum system in 2026, a MONAKA CPU ship date of 2027, and firm 2030 and 2035 revenue-mix and mainframe-retirement targets against which execution can be measured well before 2035.

“Fujitsu is betting that owning the stack from silicon to consulting will matter more than its services breadth as enterprise AI moves from pilots to production,” said Linus Lai, group vice president at IDC. “The strategy is coherent; the open question is whether execution and investments in its international businesses will keep pace with the targets Fujitsu has set for itself.”