B2B SaaS Provider · vs · Publisher & Media Owner

eMarketer vs Gartner

Structured technology and market comparison · 2026

Direct Feature Comparison

eMarketer · vs · Gartner
Primary Market / Role
eMarketerB2B SaaS Provider
GartnerPublisher & Media Owner
Platform Focus
eMarketer

B2B research platform for media, advertising, and commerce intelligence.

Gartner

Research and advisory firm for enterprise technology and business leaders.

Company Size
eMarketer201–500 employees
Gartner>5,000 employees
Headquarters
eMarketerUS
GartnerUS
Year Founded
eMarketer1996
Gartner1979

Comparison Analysis

What is the main difference between eMarketer and Gartner?

When comparing eMarketer and Gartner, both platforms operate within the B2B SaaS Provider ecosystem. eMarketer is positioned as B2B research platform for media, advertising, and commerce intelligence, whereas Gartner focuses on Research and advisory firm for enterprise technology and business leaders. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to eMarketer and Gartner?

When evaluating eMarketer and Gartner, enterprise buyers also consider other platforms in B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

Market Signals

Recent Market Signals & Activity: eMarketer vs Gartner

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

eMarketer

Recent Signals

  • ·https://martech.org/feed/CTV

    B2B CTV Budgets Need Evidence Now

    This article advises B2B marketing teams to run CTV tests before finalizing their 2027 budgets. It argues that without first-party data, CTV budget lines are often cut or based on unverified vendor claims. The piece outlines a 90-day test plan to gather planning inputs on reach, cost, creative viability, and early website signals from targeted accounts. It warns that incrementality and payback cannot be proven in a quarter and recommends a narrow, focused test design with premium inventory. The article also notes industry trends like rising ad loads on platforms such as Prime Video, flattening CPMs, and buyer concerns about inventory quality, citing IAB research.

    • B2B teams typically finalize 2027 plans by Thanksgiving.
    • A 90-day CTV test can provide planning inputs on reach, cost, creative viability, and early site signals.
    • Incrementality and payback cannot be proven within a quarter.

Gartner

Recent Signals

  • ·PR Newswire: Technology NewsArtificial Intelligence

    Survey Finds 72% of Tech Decision-Makers See AI Initiatives Falling Short

    A new survey by Collibra and The Harris Poll reveals that 72% of tech decision-makers believe AI initiatives fail due to poor data foundations. The survey, conducted among 306 US decision-makers, found that 87% burn hours re-verifying AI agent context, and 76% face roadblocks moving from pilots to production. Additionally, 51% manually review AI outputs. The report highlights the need for better data governance and runtime controls to scale AI effectively. Collibra's CEO emphasizes the 'hallucination tax' as a hidden cost of manual oversight. The findings also reference Gartner research indicating 50% of enterprise GenAI projects are abandoned after proof of concept.

    • 72% of tech decision-makers say AI initiatives fail due to unaligned or poor data foundations.
    • 87% of decision-makers say teams regularly re-verify that agent context is accurate.
    • 76% of organizations have hit roadblocks moving AI pilots to full production.
  • ·https://martech.org/feed/MarTech Strategy

    Martech Strategy Must Shift to Operating Environment for AI

    As AI systems begin to take on decision-making and autonomous actions, the martech landscape is shifting from a capability-centric model to an operating environment model. This article argues that the key to successful AI implementation in marketing is not merely the technology stack, but the surrounding infrastructure of rules, permissions, and accountability. It highlights a significant gap: although CMOs are allocating an average of 15.3% of marketing budgets to AI, only 30% report having mature AI readiness. The article emphasizes that for AI to work effectively, organizations must focus on machine operability, ensuring that metadata, approvals, rights, and workflow states are explicit and accessible. This shift impacts areas like CreativeOps, where AI-generated content needs robust governance. It also repositions the DAM as critical infrastructure for AI, requiring strong metadata and clear rights. The article concludes that future martech strategy should start with the desired operating capability, not the existing tech estate.

    • Gartner's 2026 CMO Spend Survey found CMOs allocate an average of 15.3% of marketing budgets to AI, but only 30% report mature AI readiness capabilities.
    • McKinsey found that only 21% of organizations using generative AI have fundamentally redesigned at least some workflows.
    • Adobe's Workfront Content Reviewer is cited as an early example of AI participating in approval workflows.
  • ·MarketectureAI Agents

    AI Agents Transform Shopping from Circulars to Automated Purchasing

    This article explores how AI is reshaping the shopping journey, moving beyond traditional advertising to a future where AI agents act on behalf of consumers. It highlights that 73% of parents plan to use AI in back-to-school shopping, citing a PwC study. The evolution from static ads to predictive, adaptive creative is discussed, with comments from Priti Ohri of Advertible on dynamic creative. The piece also covers conversational AI, referencing Criteo's Prompt Smart Ads, and the transition from assistance to delegation, noting that only 11% of consumers are ready for AI to make purchase decisions. Becky Gundy of CHEQ predicts agents will soon handle purchases end-to-end, emphasizing that advertisers must appeal not only to consumers but also to their AI agents.

    • 73% of parents plan to use AI in back-to-school shopping (PwC study, June 2026).
    • Only 11% of US consumers are ready to let AI make purchase decisions (Gartner survey).
    • Criteo's Prompt Smart Ads use catalog data and prompt-level insights to tailor ad creative.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners eMarketer and Gartner share across the market ecosystem.