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AI Inferencing at the Edge — Start-Ups and Vendors to Watch for 2026

Nina Turner — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective profiles start-ups and established semiconductor vendors competing for AI inferencing workloads at the edge in 2026. The document covers 10 global start-ups spanning the United States, Israel, the Netherlands, South Korea, Canada, Taiwan, Japan, and Slovakia that have received funding or achieved meaningful commercial traction in the past 12 months, alongside 12 major established vendors.

“Edge AI inference has crossed the threshold from proof of concept to production. The companies that navigate 2026 well will be those that match silicon architecture to workload reality, prioritize software portability, and consider supply chain geography,” says Nina Turner, research director, Enabling Technologies: AI Edge Processor Architectures, IDC.

Compliant by Border, Defended by Design: Reconciling Sovereignty Mandates with AI-Enabled Cyberattackers

Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines how digital sovereignty has rapidly evolved from a narrow focus on data residency to a broader, more strategic approach — shaping cybersecurity architecture, AI and data governance, and operational models. Regulatory and geopolitical pressures are top of mind for organizations as they balance sovereignty mandates with security effectiveness. Adhering to the variety of cybersecurity rules and geopolitical desires will require a more federated, geographically diversified, and compliance-aware set of capabilities as organizations simultaneously navigate the agentic AI era.

“When adversaries ignore borders, does insisting on sovereign-only cybersecurity capabilities protect us — or leave the battlefield to the attacker? A nation or enterprise that is sovereign but underprotected has not achieved security — it has achieved isolation,” says Craig Robinson, research vice president, Security and Trust, IDC.

Elevating Technology Team Performance: Actionable Models for Upskilling and Leadership

Niel Nickolaisen — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective describes specific models and tools that leaders can use for the internal upskilling and talent development of the current members of a technology organization. IDC data indicates that upskilling and developing the technology team are consistent priorities for technology leaders. Team development is built around individual development plans that align the talent and interests of technology team members with the evolving needs of the organization in an intentional and consistent way.

“Developing the skills and capabilities of the technology team is one of the most important roles of technology leaders,” says Niel Nickolaisen, adjunct research advisor for IDC’s IT Executive Programs (IEP). “Team development creates a win-win-win. The members of the team win by improving their skills and careers. The organization wins by having a more skilled and capable technology department. The technology leader wins by shifting focus from operations and tactics to the strategic technology future of the organization.”

Industrial DataOps: The Foundation for Industrial Transformation

Jonathan Lang — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines the relationship between Industrial DataOps platforms and key industrial transformation initiatives. Industrial enterprises have wrestled with data quality and accessibility challenges for many years. As next-generation automation capabilities, AI in its numerous forms, and increasingly demanding business conditions create pressure to leverage data more effectively, Industrial DataOps platforms are proving themselves as the essential enabling infrastructure to adopt new technologies at scale.

“I think, five years ago, most companies thought of data engineering tools as interesting but unnecessary master data management middleware solutions,” says Jonathan Lang, research director, Worldwide IT/OT Convergence Strategies at IDC. “Now, they’re finally realizing that bespoke data integration will not serve any major technology movement effectively at scale. The criticality and timeliness of Industrial DataOps platforms cannot be overstated for enterprises seeking to capitalize on current and future technology capabilities.”

The Bot Surge in Digital Commerce: How Generative AI Has Reshaped the Automated Threat Landscape for Online Merchants and Advertisers

Heather Hershey — Tue, 16 Jun 2026 04:00:00 GMT

This IDC Perspective examines the sustained rise in automated bot traffic against digital commerce merchants and identifies its inflection point at the public release of large language models in late 2022.

Drawing on independent threat research data through 2025, the document establishes that:

Automated traffic has overtaken human traffic on the open web
Digital commerce is among the most heavily botted sectors globally
The operational impact on merchants now extends well beyond the security perimeter into advertising, personalization, and strategic decision-making

This IDC Perspective argues that bot exposure is a sector-level problem rather than a commerce platform one and explores the emerging “gray zone” between malicious automation and legitimate customer-directed AI agents. It provides technology buyers with actionable guidance for building a cross-functional response across security, identity, data hygiene, and commercial policy.

This is essential reading for digital commerce and marketing leaders preparing for a near-term future in which AI agents will increasingly transact on customers’ behalf and for whom determining which bots are engaging with a brand in “bad faith” versus those with legitimate purchase intent.

“Merchants experiencing rising bot pressure should resist the instinct to blame their commerce platform,” says Heather Hershey, research director, AI-Enabled Digital Commerce, IDC. “Instead, invest in portable, layered defenses at the edge. You need sophisticated bot detection strategies that can tell not only the difference between human and bot traffic, but also which bots are in ‘good faith’ and which are not.”

Agentic AI Implications for Enterprise IaaS Network Services Strategies

Taranvir Singh — Mon, 15 Jun 2026 04:00:00 GMT

This IDC Perspective highlights how Agentic AI is transforming enterprise networking and shifting the role of the network from simple data transport to an intelligent, policy-driven fabric. As AI agents drive dynamic, distributed workflows, enterprises are consolidating around IaaS network services by cloud service providers for high-performance connectivity, efficient application networking, and integrated security and governance. Success in agentic AI deployments depends on programmatic networking architectures, agent-aware functionalities, and strategic partnerships with providers offering specialized AI networking expertise and production-ready solutions.

“Networking is foundational to agentic AI. Its pervasive presence across AI agent interactions positions it as an important enabler of end-to-end connectivity, security, and governance,” says Taranvir Singh, research manager, Cloud Networking Services, IDC. “For AI agents to operate at production scale, the network must function as an intelligent policy fabric, not just an underlying transport layer.”

Akeneo Acquires PricingHUB: Does the Next Strategic Evolution of PIM Look More Like a CPQ?

Heather Hershey — Mon, 15 Jun 2026 04:00:00 GMT

Today, Product Information Management (PIM) vendor Akeneo announced the acquisition of PricingHUB, an AI-driven dynamic pricing platform used by large European retailers. The acquisition brings pricing intelligence directly into Akeneo Product Cloud as the company aims to provide one governed home for the two signals that drive most purchasing decisions: what a product is and what it costs.

Autodesk To Acquire MaintainX: Converging Design, Make, and Operate Across the Industrial Lifecycle

Lorenzo Veronesi, Gunjan Bassi, Jeffrey Hojlo — Mon, 15 Jun 2026 04:00:00 GMT

Cisco Live 2026: Building the Platform for Agentic Infrastructure Operations

Mon, 15 Jun 2026 04:00:00 GMT

At Cisco Live 2026, Cisco advanced one of its clearest strategic narratives in years: the network is becoming the operating and defense substrate for the agentic enterprise. The centerpiece was Cisco Cloud Control, a unified platform that brings networking, security, observability, collaboration, compute, telemetry, and AI agents into a common operational environment.

IDC MarketScape: Worldwide AI-Enabled Customer Data Platforms for B2B Users 2026 Vendor Assessment

Tapan Patel — Mon, 15 Jun 2026 04:00:00 GMT

This IDC study evaluates vendors of customer data platforms (CDPs) focused on B2B users and use cases. The B2B CDP is a multiyear revenue infrastructure decision that crosses marketing, sales, customer success, revenue operations, and partner functions. Buyers are more cross-functional, sales cycles have stretched, and finance leaders are asking sharper questions about what CDP investments actually return. Generative AI and AI agents have added a new dimension to the conversation, used by marketing and sales teams to engage prospects and used by buyers themselves to research and short-list vendors. This study examines the foundational dynamics B2B CDP buyers face, the use cases organizations are most often building, and the practical advice buyers should follow during evaluation and selection.

"For the first time, B2B revenue teams can operate from a single, trusted view of account and buying group and put that same view in the hands of the AI agents now joining their work," said Tapan Patel, research director, AI-Enabled Customer Data and Analytics. "As marketing leaders are increasingly held accountable for pipeline contribution and customer expansion, the CDPs that earn their place are the ones that help marketing measure and defend that contribution alongside sales, customer success, and operations."