This annual benchmark shows how far mid-market companies in 18 industries have come in data, BI and AI maturity. The 2026 result is a structural lag behind enterprise, so check where your industry and revenue band stand.
Once a team won't work without an AI tool, you've lost the group you'd compare it against. Prove the value while you still can. Stagger the rollout, count work at intake, check what people say against your system records, and decide up front what result would change the plan.
This annual map scores 25 industries against three customer gates and places each in one of four shapes. Find yourself twice, once for your market and once for the mix inside your own company. Then read what to do from your seat under each shape.
When the CFO asks how you know the result was the AI, an aggregate number will not hold. Carry one measure all the way through, and take the baseline now. A before-picture cannot be recreated later, only argued about.
This page breaks down how far entertainment and media companies have come in data, BI and AI maturity, using our 2026 mid-market survey. Companies that build audience intelligence and monetized AI will capture subscriber growth, while those that treat analytics as reporting will lose ground to personalization.
This page breaks down data, BI and AI maturity in manufacturing, using our 2026 mid-market survey. The infrastructure exists and the gap is organizational, so leaders will be the teams that experiment fast and embed AI in workflows.
This page breaks down data, BI and AI maturity in logistics and transportation, using our 2026 mid-market survey. Most mid-market firms use data for compliance and cost; those that build it into shipper offerings can turn it into a margin advantage.
This page breaks down data, BI and AI maturity in healthcare, using our 2026 mid-market survey. Healthcare leads in data and BI maturity but lags in AI monetization, so the frontier is moving analytics from clinical support into competitive advantage.
This page breaks down data, BI and AI maturity in financial services, using our 2026 mid-market survey. Firms that build data infrastructure and dashboards but never move to monetized AI will fall behind peers on cost and accuracy.
This page breaks down data, BI and AI maturity in real estate, using our 2026 mid-market survey. Firms that move in the next 12 to 18 months will lock in an edge in acquisition efficiency and tenant economics. Those that stay on the optimization curve risk capital misallocation.
This page breaks down data, BI and AI maturity in professional services, using our 2026 mid-market survey. AI-assisted research and drafting are becoming baseline, firms without them will struggle to recruit, and clear AI governance will attract clients and talent.
This page breaks down data, BI and AI maturity in agriculture and food service, using our 2026 mid-market survey. First movers will own the talent and infrastructure that followers struggle to replicate, while laggards face margin compression and acquisition by larger conglomerates.
