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Beyond Customer Data: The Context Foundation AI Agents in CX Are Missing

Tapan Patel — Thu, 26 Mar 2026 04:00:00 GMT

This IDC Perspective examines why AI agents deployed across customer experience (CX) functions like marketing, sales, advertising, digital commerce, customer support, and field service systems require dedicated context foundation beyond unified customer data. It defines the three architectural foundations — knowledge graphs, semantic definitions, and context management — that enable agents to reason over shared context, coordinate actions across functions, and make autonomous decisions. The document provides guidance for both business and technology buyers evaluating context readiness for AI agents in CX.

“Customer data platforms gave us unified profiles, but that foundation alone is not sufficient for AI agents to make autonomous decisions,” said Tapan Patel, research director, AI-Enabled Customer Data and Analytics, IDC. “AI agents need a next layer — one that provides detailed understanding into CX relationships, shared business logic across functions, and runtime context that reflects customer intent, life-cycle stage, and prior actions to deliver real value.”

IDC Market Glance: AI-Enabled Sales Productivity and Performance, 1Q26

Michelle Morgan — Thu, 26 Mar 2026 04:00:00 GMT

This IDC Market Glance provides a snapshot of the current landscape of AI-enabled sales productivity and performance applications, including the various segments and subsegments. This document also provides an overview of the major vendors in each segment and subsegment and highlights trends currently impacting the market. The sales productivity and performance market is shifting toward AI-orchestrated revenue execution, which is redefining where value accrues, how platforms differentiate, and which vendors control the strategic signal layer. Agentic AI, signal convergence, and pricing disruption are becoming the key differentiators. As a result, businesses must make critical decisions about design, M&A, monetization, and ecosystem strategy. This document explores the structural shifts underway and what they signal for the next generation of revenue platforms.

IDC's 2025 AI Marketing Benchmark: Architecting Marketing for AI

Sudhir Rajagopal, Laurie Buczek — Tue, 24 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Presentation reveals that the market remains in the early stages of AI marketing maturity. More mature organizations distinguish themselves by embedding AI into core marketing strategy, investing heavily in workforce enablement, and re-architecting processes rather than running isolated AI initiatives in marketing. IDC also found that marketwide gaps persist, particularly in AI data–readiness, AI governance, and disciplined change management — constraining organizations in scaling AI safely and sustainably.

IDC's 2025 AI Marketing Maturity Benchmark evaluates how effectively marketing organizations are adopting and scaling AI across five critical dimensions: Strategy, people and organization, processes, governance, and data and technology. The assessment measures how well these dimensions correlate and operate as an integrated system, recognizing that AI maturity is not defined by isolated tools but by building capabilities through a "systems view" to execute AI-driven marketing.

Q.ANT Deploys Analog Photonic Native Processing Units at LRZ for Energy Efficient AI

Heather West, PhD — Tue, 24 Mar 2026 04:00:00 GMT

Q.ANT's deployment of its second-generation analog photonic native processing units (NPUs) at the Leibniz Supercomputing Centre (LRZ) marks an important step in moving alternative computing architectures from experimental validation into production-level evaluation, as the industry seeks new approaches to address the growing energy and performance constraints of AI infrastructure. By demonstrating integration into existing HPC environments and reporting significant gains in throughput and energy efficiency, the deployment highlights the potential role of photonic co-processing within increasingly heterogeneous architectures while signaling that organizations should begin evaluating such technologies for energy-constrained, compute-intensive workloads.

AEO Tools, Strategies, and Tactics for Large Enterprise

Gerry Murray — Wed, 18 Mar 2026 04:00:00 GMT

This IDC Perspective looks into the impact of AEO tools, strategies, and tactics on enterprises. Answer engine optimization requires extensive redesign of content marketing strategy, tactics, and technology. Success requires continuous prompt auditing, broad content distribution, and leveraging third-party validation. Emerging AEO tools and services support prompt infrastructure, semantic intelligence, and content automation. Optimizing both owned and external sources, including social and influencer content, is essential to ensure brands are cited in AI-generated responses, demanding new content supply chain speed, depth, and breadth.

"LLMs powered answer engines will increasingly disintermediate brand-buyer relationships on the open web and digital marketplaces," said Gerry Murray, research director, Marketing and Sales Technology. "IDC recommends immediate action to implement the new answer engine optimization (AEO) tools and content marketing strategies necessary for prime visibility in this dynamic new channel."

IDC Survey: The Chief Sales Officer Agenda — Challenges, Priorities, and Evolving Role of the CSO

Ranjit Rajan — Wed, 18 Mar 2026 04:00:00 GMT

This IDC Survey provides insights into the chief sales officer (CSO) persona’s agenda, analyzing the CSO’s challenges, priorities, key metrics, and technology initiatives for this year and beyond, as well as the evolving role of the CSO. This analysis is based on the international respondents to IDC’s Worldwide C-Suite Tech Survey conducted in August and September 2025. Respondents include respondents across North America, Asia/Pacific, and EMEA. The survey findings are designed to help tech vendors and service providers understand the evolving agenda of CSOs and effectively tailor their value proposition, offerings, and go-to-market strategies for this persona.

Implications for Marketing and Selling AI Agents to the C-Suite

Tony Olvet — Wed, 18 Mar 2026 04:00:00 GMT

This IDC Perspective examines how technology suppliers should market and sell AI agents to the C-suite as adoption shifts from pilots to enterprisewide workflows. The document uses IDC's Agentic Innovation Framework as the primary organizing structure. It outlines the implications for messaging, sales approaches, and packaging.

"C-suite buyers will invest in agentic AI when vendors can clearly link use cases to measurable business outcomes and demonstrate strong autonomy controls, governance practices, and operational readiness to scale." — Tony Olvet, group VP, Worldwide C-Suite and Buyer Insights Research, IDC

IDC Survey Spotlight: How Does the Use of AI Vary Across Buyer Segments, and What Are the Implications for CMOs?

Sudhir Rajagopal — Tue, 17 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight analyzes the results from IDC's B2B Technology Buyer Experience Survey, conducted in September 2025. The survey explored how tech buyer behavior is shifting and the impact that will have on desired marketing practices. The survey explored the impact of digital, omni-channel, AI, and the role of the human as more buyers embrace agentic buying. This IDC Survey Spotlight focused on how AI use varies by buyer market segment and the implications for marketers.

What is clear is that, across the board, AI will increasingly disintermediate the buying journey, but its use of AI varies by buyer segment. The midmarket will lead to the adoption of AI-centric buying practices and, as such, marketing organizations must craft segment-specific, AI-centric GTM motions.

Tech Buyer Survey Spotlight: How Is AI Improving the Ability of Brands to Personalize Customer Interactions?

Gerry Murray — Tue, 17 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Survey Spotlight shows that creative teams are delegating about 30% of their work to AI and that performance tuning and personalization are the most valuable benefits. However, data usage remains limited to basic marketing attributes in most cases. Brands will need to improve their ability to utilize the enterprise customer record within brand and regulatory policies to get significantly more value from their personalization efforts.

Industry Personas Handbook: Worldwide Grid Operators, 2026

Jean-François Segalotto — Fri, 13 Mar 2026 04:00:00 GMT

This IDC Grid Operators Personas Handbook 2026 is designed to provide technology vendors a better understanding of their buyer personas within transmission and distribution system operators (TSOs, DSOs) and integrated grid operators. It aims to answer the following questions:

Who are the key personas I need to address with my offering (products and services), marketing messages, sales campaign, and sales activity?
What are their strategic priorities and their day-to-day activities?
What are their major pains and challenges?
What are their KPIs?

The strategic priorities, pain points, and KPIs described for each persona are intended to support the early stages of the sales funnel such as awareness creation, interest, and consideration. It will not focus on how to approach procurement departments once decisions for purchase have been made.

"Grid operators face mounting operational and regulatory pressures, including reliability performance, capacity constraints, and large-scale DER and load integration. Understanding key personas enables technology providers to align solutions with real operational priorities. This persona-led approach strengthens partnerships, speeds decision-making, and builds long-term vendor credibility," said Jean-François Segalotto, senior associate advisor, IDC Energy Insights.