iCrossing has been identified as a Representative Vendor in Gartner's Market Guide for Global Digital Marketing Agencies, highlighting the changing expectations placed on agencies as brands demand stronger measurement, AI capabilities and closer alignment between marketing activity and business growth.

The Hearst-owned digital marketing agency and marketing technology consultancy said the recognition appears in Gartner's Market Guide for Global Digital Marketing Agencies, published August 18, 2025. The report evaluates the global digital agency market as marketers increasingly reassess how external partners contribute to strategy, technology, customer experience and measurable business outcomes.

The Gartner report cited by iCrossing says chief marketing officers spend an average 20.7% of their marketing budgets on agency fees, while also noting that the value generated by that spending can be difficult to demonstrate. That tension is becoming more significant as marketing organizations face pressure to justify technology and agency investments with measurable commercial results.

iCrossing President Dmitry Klebanov said the company's inclusion reflects what it sees as growing demand for enterprise digital capabilities, particularly around accountability, measurement and AI-driven transformation.

Digital Agencies Face a Higher Bar

The traditional agency model centered largely on creative development, media execution and campaign management. That model is changing as marketing organizations bring together customer data, marketing technology, AI, analytics and commerce systems.

Generative AI is accelerating that shift. Agencies are increasingly expected to help clients deploy AI across content production, customer experience, personalization and campaign optimization rather than treating AI as a standalone productivity tool.

Gartner's broader research supports the direction of travel. Its 2026 CMO Spend Survey found that CMOs allocate an average 15.3% of marketing budgets to AI, but only 30% of marketing organizations are ready to scale AI capabilities. Gartner also reported that AI-driven automation currently accounts for 16% of marketing work and is expected to reach 36% by 2028.

For agencies, that creates an opportunity but also raises the performance threshold. Clients increasingly need partners that can connect AI experimentation to operational processes, customer outcomes and revenue.

iCrossing's Four-Part Positioning

In conjunction with the Gartner recognition, iCrossing highlighted four capabilities it believes are becoming important in the agency market.

The first is integrating generative AI across content, customer experience and campaign optimization. Rather than limiting AI to copy generation, this approach places it across multiple stages of the marketing lifecycle.

The second is training, change management and governance. AI adoption creates organizational challenges that extend beyond technology selection. Marketing teams need new workflows, skills and controls to deploy AI consistently.

The third is aligning marketing strategy with business growth objectives. This reflects a wider movement toward connecting marketing performance with pipeline, revenue and enterprise-level objectives instead of relying primarily on campaign metrics.

The fourth is operational agility. Economic uncertainty, changing consumer behavior and rapid technology shifts require agencies and clients to adjust strategies without rebuilding their entire operating model.

These capabilities mirror broader changes in how enterprise marketers evaluate agency relationships. The emphasis is moving from capacity and execution toward expertise, integration and measurable impact.

Competition Is Moving Toward Consulting and Technology

The global digital agency market has become increasingly difficult to define because traditional agency groups now compete with management consultancies, systems integrators, marketing technology companies and specialist digital firms.

Large agency networks such as Accenture Song, Dentsu, Publicis Groupe, WPP and Omnicom have expanded technology, data, commerce and consulting capabilities alongside creative and media services.

At the same time, platforms such as Adobe, Salesforce and Google are increasing the capabilities available directly to marketing organizations. This allows enterprises to build more of their own marketing infrastructure while also increasing the complexity of managing those systems.

The resulting competitive environment places pressure on agencies to occupy a more strategic position. Simply operating technology on behalf of a client is becoming less differentiated when clients can access increasingly sophisticated automation and AI capabilities directly.

For iCrossing, its positioning as both a digital agency and marketing technology consultancy reflects that convergence.

The Measurement Problem Remains

The most significant issue raised by Gartner's agency-spending statistic is not the size of agency fees alone. It is the question of whether marketers can demonstrate what those fees produce.

Marketing attribution has long been complicated by fragmented customer journeys, multiple media channels and delayed conversions. Generative AI adds another layer because productivity improvements can be substantial without necessarily translating into incremental revenue.

That distinction is important for agencies adopting AI. Producing content faster or automating campaign tasks may reduce operating costs, but clients will increasingly ask whether those efficiencies improve customer acquisition, retention, conversion or profitability.

As a result, agency differentiation may increasingly depend on the ability to establish credible measurement frameworks and connect activity to commercial outcomes.

AI Governance Becomes an Agency Capability

AI adoption also changes the nature of agency-client relationships.

Marketing organizations deploying generative and agentic AI need controls covering data access, brand standards, intellectual property, customer privacy, model performance and human oversight. Agencies that help clients build these frameworks can become transformation partners rather than execution suppliers.

This is particularly relevant for enterprise marketers operating across multiple regions and regulatory environments. Global campaigns can involve customer data, localized content and automated decision-making across numerous platforms.

The agency therefore becomes part of the governance architecture, increasing both its strategic value and its accountability.

Market Landscape

The digital marketing agency market is converging across four areas:

• Creative and content: Generative AI is changing production workflows and personalization.
• MarTech consulting: Agencies increasingly help clients integrate platforms, data and customer journeys.
• Performance marketing: Measurement is shifting toward business outcomes and incrementality.
• AI transformation: Training, governance and operating-model changes are becoming part of agency engagements.

This convergence is creating a more competitive market in which agencies must demonstrate expertise beyond campaign execution.

Strategic Outlook

iCrossing's Gartner recognition comes at a time when the agency model is being reshaped by AI, marketing-platform consolidation and increased scrutiny of marketing expenditure.

The key question for agencies is whether they can demonstrate that their expanding technology and consulting capabilities produce better business outcomes. AI may reduce the cost and time associated with execution, but it also makes basic execution less defensible as a source of differentiation.

The next stage of agency competition is therefore likely to center on strategy, proprietary expertise, data integration, measurement, governance and the ability to operationalize AI at enterprise scale.

For CMOs, that could mean fewer relationships focused purely on execution and greater demand for agencies that can take responsibility for connecting marketing technology investments with measurable growth.

Top Insights

1. Agency accountability is becoming more important as CMOs face pressure to prove marketing ROI.
2. Generative AI is expanding the agency mandate from content and campaigns into customer experience and optimization.
3. Consulting and technology capabilities are becoming competitive necessities for large digital agencies.
4. AI governance is emerging as a service opportunity, particularly for enterprise organizations.
5. Business outcomes will increasingly determine agency value, not simply campaign volume or production efficiency.

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