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IDC MarketScape: Worldwide AI-Enabled Order Orchestration and Fulfillment Applications for Retail and B2C 2026 Vendor Assessment

Ornella Urso — Wed, 22 Jul 2026 04:00:00 GMT

This IDC MarketScape provides a vendor assessment of worldwide AI-enabled order orchestration and fulfillment applications for retail and B2C and B2C for 2026. Order orchestration and fulfillment has become a competitive capability rather than a routine process, and modern software aims to help retailers manage its complexity across capture, promising, orchestration, fulfillment, and returns. Retailers continue to rebuild operations and technology to handle the scale and complexity of omni-channel demand. The most persistent gap remains real-time, network-wide inventory visibility, while composable architecture has become a baseline expectation, and AI, including agentic AI, is moving from road map toward early production with uneven maturity.

"The costs of shipping, last-mile delivery, and returns have made channel-by-channel decisions too slow and too expensive to sustain. In response, retailers are aligning operations around order management as a real-time coordination layer, where each order is sourced and fulfilled against a single picture of demand and inventory", says Ornella Urso, research director, IDC Retail Insights. "Order orchestration and fulfillment have become a key lever that increasingly moves margin and service outcomes, between customer engagement and operations to serve customers consistently and profitably. One more, AI (and agents) is central to this shit."

IDC MarketScape: Worldwide Managed Detection and Response Service for Midmarket 2026 Vendor Assessment

Yogesh Shivhare — Tue, 21 Jul 2026 04:00:00 GMT

This IDC study presents a vendor assessment of MDR service providers worldwide through the IDC MarketScape model. For this study, IDC evaluated a group of MDR service providers with operations and customers worldwide, with a deliberate focus on the needs of midmarket organizations, which IDC defines for this study as organizations with up to 2,000 employees. Of the group of providers evaluated, the majority actively participated through a structured request for information process, with provider briefings and customer references, while two providers were assessed based on IDC's knowledge of their security services offerings and secondary research. Providers were measured in terms of current capabilities and future strategies for delivering MDR services to midmarket and enterprise customers worldwide. As noted in the inclusion criteria, all providers evaluated in this study have the organizational scale, technical depth, and service breadth to serve customers well beyond the midmarket segment.

Yogesh Shivhare, senior research manager, Security and Trust at IDC, says, "The managed detection and response market has entered a new phase of maturity, one defined less by whether providers can deliver effective threat detection and more by how they do it and what they stand behind. This study reveals a market where artificial intelligence architecture, financial accountability, and the depth of proprietary threat intelligence have become the primary axes of differentiation. MDR remains one of the most compelling security investments available to midmarket organizations, offering access to SOC capabilities, threat intelligence programs, and incident response expertise that would be prohibitively expensive to build internally. But the gap between leaders and the broader field is widening, and buyers that treat MDR as a commodity purchase will increasingly find that the details of how a service is structured, measured, and backed determine whether it delivers on its promise."

IDC MaturityScape Benchmark: AI-Fueled Organization in North America, 2026

Giulia Carosella — Tue, 21 Jul 2026 04:00:00 GMT

"IDC's 2026 MaturityScape Benchmark: AI-Fueled Organization 2.0 confirms that North American organizations lead in AI maturity. Yet a confidence-capability gap persists: Many organizations that see themselves as AI leaders are running well ahead of what they have actually built. Closing that gap is an operating-model and governance challenge, not a technology one," says Giulia Carosella, Senior Research Manager, WW AI-Fueled Business Strategies at IDC.

IDC MaturityScape Benchmark: AI-Fueled Organizations in EMEA, 2026

Lapo Fioretti — Tue, 21 Jul 2026 04:00:00 GMT

AI has moved from the periphery of the technology agenda to the center of enterprise strategy, yet scaling it remains challenging. Many organizations continue to struggle to translate investments into measurable business value, and the rapid rise of agentic AI is adding a new layer of complexity to deployments. The AI-fueled organization is one in which strategy, governance, people, and technology are orchestrated so that intelligence is embedded across the operating model rather than confined to isolated pilots, supporting the full spectrum of AI technologies, including descriptive, interpretive, predictive, generative, agentic, and physical AI.

This IDC study presents results from IDC’s MaturityScape Benchmark AI Survey, released in May 2026 across 1,900 organizations worldwide (of which 583 are in Europe, the Middle East, and Africa). It is the updated edition of IDC’s inaugural 2025 benchmark (IDC MaturityScape Benchmark: AI-Fueled Organization Worldwide, 2025, IDC #US53271725, March 2025) and applies the framework set out in IDC MaturityScape: AI-Fueled Organization 2.0 (IDC #US54450625, April 2026). The most significant change this year is the elevation of governance to a distinct fourth dimension alongside strategy, people, and technology — a recognition that trust, risk management, and responsible AI practices have become prerequisites for scaling AI. The benchmark assesses enterprise maturity across five stages and these four dimensions to guide line-of-business leaders, C-suite executives, and the IT and data organizations that enable the AI agenda. It helps them locate where they stand relative to peers and prioritize the moves that most accelerate progress. Key findings in this benchmark study are:

Only 2.4% of organizations in EMEA have reached the most mature Optimized stage, and just 11.9% have progressed to the two most advanced stages (Managed or Optimized) overall. Becoming an AI-fueled organization is achievable, but it is a sustained journey rather than the product of a single deployment.
More than six out of 10 organizations (62.8%) remain in the two least mature stages (Ad hoc and Opportunistic), underscoring how much foundational work in strategy, governance, and data still lies ahead before AI can deliver enterprisewide value.
Nearly half of EMEA organizations (48.7%) are concentrated in the Opportunistic stage, making it by far the most common level of maturity. Most EMEA organizations at this stage have set an AI strategy and run structured experiments around a few high-return use cases, but delivery lags that ambition: talent remains the main barrier, governance is still fragmented, and gains stay confined to incremental efficiency rather than growth. These organizations remain in a selective, experimental phase rather than scaling AI enterprisewide. The sharp drop from Repeatable (25.3%) to Managed (9.5%) points to a critical bottleneck: many organizations are moving beyond ad hoc experimentation, but far fewer succeed in institutionalizing AI into managed, enterprisewide operations.

“IDC’s AI MaturityScape Benchmark shows that in EMEA, the biggest challenges companies face in becoming AI-driven are related to people, a well-defined AI strategy, and the technological infrastructure of data quality and legacy systems. Addressing the gaps in these areas is essential to stay competitive,” said Lapo Fioretti, EMEA research lead, AI-Fueled Business Strategies, IDC.

Quantum Risk Is Already Here: An Enterprise Buyer's Guide to Assessing Third-Party Cryptographic Readiness Before Q-Day, Part 2: Assessment Framework and Deployment Guide

Philip D. Harris, CISSP, CCSK — Tue, 21 Jul 2026 04:00:00 GMT

The quantum threat to your third-party risk portfolio is not a future risk — it is a present and compounding one. Harvest-now-decrypt-later (HNDL) attacks are collecting data that your vendors encrypt today for retroactive decryption. Trust-now-forge-later (TNFL) attacks are harvesting signed vendor artifacts today for retroactive provenance forgery — corrupting the integrity of the software supply chain, the audit trail's non-repudiation, and the regulatory evidence chains your organization depends on. With NIST finalizing three PQC standards in August 2024, CISA issuing federal procurement guidance in January 2026, and NIST IR 8547 proposing to deprecate quantum-vulnerable asymmetric algorithms after 2030 and disallow them after 2035, the regulatory landscape has reached a decisive inflection point — one that converts every vendor migration road map question from a matter of opinion into a matter of your organization's alignment with an accelerating compliance obligation.

This document is Part 2 of a two-part IDC Perspective series for enterprise buyers. It delivers the complete 48-question Third-Party Quantum Encryption Readiness Assessment Framework across 11 domains, with tiered deployment guidance scaled from five baseline questions for commodity vendor relationships to all 48 for critical Tier 1 relationships, full evidence collection methods, and practical buyer program management guidance — including crypto agility assessment architecture, Continuous Quantum Control Assurance (Q-CCA) requirements, and the Quantum Risk Operations Center (Q-ROC) capability model for continuous vendor posture monitoring. Enterprise buyers should read Part 1 for the strategic and threat context before deploying this framework. The window to establish assessment program leadership — and to build the vendor accountability infrastructure before regulators require it — is open now and will narrow as the market matures.

What Retailers Need to Know about Embedded Finance in Payment and Commerce/POS Platforms

Cristiano Quattrini, Margot Juros — Tue, 21 Jul 2026 04:00:00 GMT

This IDC Perspective examines how embedded finance is reshaping the role of payment and unified commerce/point-of-sale (POS) platforms in retail. As financial services become increasingly integrated into checkout, loyalty, marketplace, seller, and store operations, retailers must move beyond viewing payments as a transaction-processing function. Embedded finance creates opportunities to improve conversion, increase customer retention, support marketplace sellers, accelerate payouts, monetize ecosystems, and strengthen loyalty propositions. However, it also introduces new challenges around regulation, fraud, data governance, operational resilience, partner dependency, and customer trust. Retail technology buyers should therefore treat embedded finance as a strategic commerce capability that requires cross-functional governance, clear use case prioritization, strong platform evaluation, and measurable business outcomes.

“Embedded finance is changing the strategic role of payment and POS platforms in retail. These platforms are no longer simply where transactions are accepted; they are becoming the infrastructure through which retailers can deliver affordability, loyalty, seller services, faster payouts, and new financial experiences. The opportunity is not just to add more payment options but to embed financial value into the retail journey in a way that improves customer trust, operational efficiency, and ecosystem monetization. To succeed, retailers must balance innovation with governance, compliance, data control, and brand responsibility,” says Cristiano Quattrini, senior associate advisor, IDC Retail Insights.

Agentic AI in Cloud Professional Services: From Assisted Delivery to Orchestrated Autonomy

Jennifer Thomson, Eren Eser — Mon, 20 Jul 2026 04:00:00 GMT

This IDC Perspective analyzes the transformative impact of agentic AI on cloud professional services delivery. It highlights how leading vendors are shifting from labor-intensive, specialist teams to AI-augmented delivery models, resulting in faster, more consistent, and cost-effective outcomes. The research identifies clear maturity tiers among providers and emphasizes the importance of agentic AI depth as a procurement criterion, noting that structural advantages will accrue to those who embed agentic AI as a core delivery capability.

"Agentic AI isn't just automating tasks; it is rewriting the rules of cloud delivery, shifting engineers from execution to orchestration and redefining what productivity means," said Jennifer Thomson, VP for Research at IDC.

Buoyant Enterprise for Linkerd 2.20: Enterprise Mesh Expansion Meets Agentic AI Governance

Jim Mercer — Mon, 20 Jul 2026 04:00:00 GMT

Buoyant's recent release of Buoyant Enterprise for Linkerd 2.20 (BEL) is intended to help enterprises confront the new operational realities. The release delivers automated mTLS trust anchor rotation, Windows VM and bare metal mesh expansion, rate-limited load balancing integrated with Buoyant's HAZL zone-aware balancer, control plane memory reductions, and native sidecars, which are now GA.

Today, production environments increasingly host nondeterministic, agentic workloads that must be governed, not merely connected. These updates reflect Buoyant's positioning of Linkerd as the enforcement point for agentic AI, the data path firewall capable of parsing HTTP and MCP traffic to decide, pod by pod, what an autonomous agent may and may not do.

European Telcos’ ICT Offering to SMB: Cybersecurity and Cloud Collaboration at the Core

Daniela Rao — Mon, 20 Jul 2026 04:00:00 GMT

This IDC Perspective focuses on European telcos’ cybersecurity and cloud collaboration propositions for SMBs as the most relevant components of their IT services portfolio, alongside connectivity and device offerings.

“Telcos’ success in the SMB market depends on their ability to shift from complex, fragmented tools to automated and managed capabilities delivered as an invisible, native communication service, together with support services helping them assess their digital needs and adopt the most suitable solution,” said Daniela Rao, senior research and consulting director, IDC Telecom and UC Global Team.

IDC Innovators: Autonomous Penetration Testing for DevSecOps, 2026

Katie Norton — Mon, 20 Jul 2026 04:00:00 GMT

This IDC Innovators presentation highlights emerging vendors in AI agent–driven autonomous penetration testing for DevSecOps. As applications become more distributed and frequently updated, security teams need offensive testing that can run closer to development and production changes.

This presentation profiles seven vendors: Corgea, Equixly, Novee, Prime Security, Ridge Security, XBOW, and Xint.io. The vendors in this report take different approaches, including source code–informed validation, product context modeling, proprietary offensive models, model orchestration, and multi-agent exploit validation. What they share is a common goal: making penetration testing more continuous and aligned with the speed of software delivery.