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CoDomain measures capital and field sentiment for each deployment pattern across 10 industry verticals. The industry axis answers the question that deployment patterns alone cannot: where, specifically, is a pattern gaining traction — and in which sectors is capital ahead of the field, or the field ahead of capital? Each industry vertical is measured independently against all five deployment patterns. That produces a matrix of frames, not a single aggregate score per industry. A pattern can be overextended in financial services and undercapitalized in manufacturing at the same time. The map shows both.

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Industry Verticals

One of the highest-signal industries in the corpus by both spend volume and practitioner discourse. Regulatory structure, compliance requirements, and high-value workflow automation make this a critical lens for understanding where AI agent deployment is consolidating versus stalling.
Retail and consumer packaged goods generate strong signal around customer-facing agents and supply chain operations. The gap between vendor deployment claims and practitioner validation is frequently visible here — making it a reliable indicator of horizontal agent overextension.
Customer support is one of the most active deployment environments for AI agents. Business process outsourcing firms are facing structural displacement pressure, making this vertical a leading indicator for how agent deployment affects workforce structure and operator conviction.
Software companies are deployers and builders simultaneously. This vertical captures AI-native product development, developer agent adoption, and the operator experience of teams shipping AI features — making it a uniquely dense signal environment.
Healthcare generates cautious, high-stakes practitioner discourse. Regulatory constraints, liability surface, and workflow integration complexity mean field sentiment here is a reliable counterweight to capital enthusiasm — and a strong indicator of where AI agent deployment faces structural friction.
Manufacturing generates strong signal around internal ops agents and process automation. Adoption patterns here tend to lag software-native industries but correlate strongly with durable deployment once conviction forms — making it a useful indicator of late-stage pattern validation.
Media and content is an active, fast-moving vertical with high practitioner discourse volume. It captures both the adoption of AI in content production and the operator experience of teams navigating quality, authenticity, and workflow integration questions in real time.
Government and education generate cautious, policy-sensitive practitioner discourse. Procurement constraints, public accountability, and institutional inertia mean this vertical is a strong indicator of where field sentiment is structurally blocked from converting to deployment — even where capital or interest exists.
CoDomain maintains an aggregated signal layer for deployment patterns that do not yet have sufficient vertical-specific corpus to support industry-level frame publication. This category captures cross-vertical signal that does not belong to a single sector and serves as a holding layer for patterns in earlier stages of coverage development.

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Geographic Scope

CoDomain currently covers the U.S. market only. Spend estimates reflect U.S. market activity. Field sentiment is drawn from English-language practitioner discourse, which skews toward U.S. and English-speaking operator contexts. International markets are not currently represented in the map. Where a practitioner statement originates from outside the U.S., it may enter the discourse corpus if it clears sourcing standards — but spend estimates and divergence reads are calibrated to the U.S. market and should not be extrapolated to international contexts.
If you are evaluating AI agent deployment in a market outside the U.S., treat CoDomain’s direction labels and verdicts as directional rather than directly applicable. The structural patterns often generalize; the spend figures do not.

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How Coverage Expands

CoDomain adds industries as corpus thresholds are cleared. An industry achieves published frames when sufficient practitioner discourse and financial signal exist to support a responsible read — meaning the field sentiment corpus has cleared the n≥20 threshold within the 90-day rolling window, and spend estimates are supported by at least two Tier 1 or Tier 2 sources per subpattern. Coverage is not expanded to fill visual gaps on the map. A vertical that cannot clear the publication threshold is held as draft or marked insufficient signal rather than published with a manufactured direction. The 10 current verticals reflect where the corpus is dense enough to support trustworthy reads — not an editorial judgment that other industries are less important.
If your industry isn’t listed or you want to flag a coverage gap, reach out at hello@cosentriq.com. Practitioner context from operators in underrepresented industries directly helps clear corpus thresholds faster.

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Explore the Full Map

Deployment Patterns

See how each deployment pattern is defined — and what determines whether a given product or system qualifies.

Technology Infrastructure

Understand the infrastructure signal layer — the leading indicator for where deployment patterns are heading next.