Garnica Quadrant 2026: Comparing Adobe, Salesforce and Google with Business in Mind

Publication date: November 2, 2026

Every year, the same question returns: which is the best MarTech platform? In 2026, a straightforward answer is even less credible. Adobe approaches experience orchestration, Salesforce connects CRM and agents, and Google shapes advertising, measurement and discovery. Ranking their brands as though every product solved the same problem would produce an attractive but misleading chart.

First, define what we are comparing

The Garnica Quadrant 2026 provides an independent, reproducible evaluation framework rather than an official Gartner, Forrester or IDC ranking. MarTech, DataTech and AdTech overlap, but they are not the same category; capabilities must be tested against specific business scenarios.

The proposed weights are data and identity 15%, orchestration and automation 15%, AI and agents 20%, personalization and experimentation 15%, analytics and measurement 15%, content and experience 10%, interoperability 5%, and governance and security 5%. They sum to 100%. Each dimension uses a 1–5 scale based on documented functionality, maturity, operational proof and integration. These are editorial priorities, not universal business weights.

Eight dimensions, explicit weights

No vendor receives a numerical 2026 score until the supporting evidence has been validated. Every assessed capability should identify a source, date, version, market, entitlement and availability condition. Announced, commercially available and operationally proven are three different states; a proposed acquisition does not yet qualify as an integrated product.

Adobe should be assessed for the depth of AEP, Real-Time CDP, Journey Optimizer, CJA, Target and its content supply chain, including the CX Enterprise vision and the completed Semrush acquisition. Salesforce should be tested on CRM continuity, Data 360, Agentforce, Marketing Cloud Next and engagement; its proposed Braze acquisition remains pending and must not count as an existing integration. Google brings search, advertising, Analytics, BigQuery and AI infrastructure, but a strong cloud data stack is not automatically a full journey-orchestration suite.

The three ecosystems and their evidence

Four scenarios illustrate why one winner is unlikely to fit everyone: a regulated financial institution needs identity, consent, suppression and completion metrics; an e-commerce company cares deeply about search and media effectiveness; a B2B organization needs alignment across marketing, opportunities and service; and a global company must distribute content across languages and channels. We should reweight the model for each scenario and publish those changes transparently.

A later quantitative edition will attach the evidence matrix, score each capability, calculate weighted results and test whether modest changes in weights alter the rankings. The 2025 comparison remains historical context; any visual showing 2026 positions should be treated as illustrative until that work is complete.

The strongest platform will not necessarily have the most agents or the largest collection of logos. What matters is whether its architecture solves a real business problem with evidence, manageable costs and sufficiently strong controls. That is a comparison worth maintaining over time.

What the next quadrant must prove

Historical quadrant: https://www.victorgarnica.com/post/comparativa-por-tipo-de-solucion-benchmarking