This page breaks down data, BI and AI maturity in energy and oil and gas, using our 2026 mid-market survey. Firms that treat analytics as a cost center will trail automated peers, and closing the gap between AI stabilization and monetization cuts cost and risk.
This page breaks down data, BI and AI maturity in commercial real estate, using our 2026 mid-market survey. Inaction means accelerating portfolio quality decay, while the upfront investment in technology and talent is recoverable within 24 months.
This page breaks down data, BI and AI maturity in legal services, using our 2026 mid-market survey. Firms that apply analytics to pricing decisions will capture margin, while those relying on partner intuition will face clients demanding more transparency.
This page breaks down data, BI and AI maturity in insurance, using our 2026 mid-market survey. Carriers that act decisively on one or two opportunities in 2026 will build a lasting advantage; those stuck in pilot mode risk being overtaken.
This page breaks down data, BI and AI maturity in private equity portfolio companies, using our 2026 mid-market survey. Portfolio companies that execute the roadmap in the first 12 to 18 months after acquisition earn sponsor credibility for AI investment. Those that treat analytics as compliance compete on cost alone.
This page breaks down data, BI and AI maturity in aerospace, using our 2026 mid-market survey. Suppliers that monetize analytics will capture a durable cost and margin advantage, while those stuck in optimization mode will be squeezed by tier-1 demands. The window to build it is now.
This page breaks down data, BI and AI maturity in education and edtech, using our 2026 mid-market survey. Institutions that move from compliance to monetized student success prediction and enrollment management will gain margin and retention. Those stuck on the stabilization treadmill risk a strategic disadvantage.
This page breaks down data, BI and AI maturity in retail, using our 2026 mid-market survey. Retailers that move on assortment intelligence and dynamic pricing within 18 months will build a defensible margin advantage, and the window is closing.
This page breaks down data, BI and AI maturity in tourism, using our 2026 mid-market survey. Operators that move decisively on pricing, retention and operational efficiency will consolidate advantage, while those who delay risk commoditization by OTAs and larger chains.
This page breaks down data, BI and AI maturity in utilities, using our 2026 mid-market survey. Utilities that move decisively to monetized analytics will gain lower operating cost, deferred capex and better grid resilience, while competitors that delay face margin pressure.
AI makes ROI attribution harder than ever, because it augments people and arrives alongside many other changes. Set baselines and choose an attribution approach, such as before and after, A/B cohorts or regression, before the tool goes live. It costs a few extra hours of planning.
