Rental leaders say software flexibility beats raw AI capability as U.S. market targets $83.5 billion

A survey of rental company leaders published by Rental Equipment Register on 7 August 2026 found that the most pressing software gap is not artificial intelligence capability but the ability of platforms to adapt to each operator's workflows and connect cleanly with other systems - a finding that cuts against the industry's current AI marketing wave.

The American Rental Association projects the combined U.S. construction and industrial equipment and general tool rental industry will reach $83.5 billion in 2026, a 3.6 percent increase from 2025, up from an earlier forecast of $82.9 billion. That revised figure reflects stronger-than-expected demand from large and megaproject work, and a structural shift away from equipment ownership. "Rental tailwinds include project uncertainty, market volatility, sustainability, financial flexibility for the rental user and the high cost of owning," said Tom Doyle, ARA vice president of program development.

What rental operators actually want from software

According to most rental leaders interviewed by RER, what matters most is not the features a platform ships with, but its capacity to bend around a company's specific needs. "We require a software partner that is dynamic in terms of system innovation and engineering," said J.T. Sutton of Region Rents. "This is 'mission critical' for our company to compete with the national corporations."

Integration was the second recurring pressure point. "Being able to seamlessly integrate with other systems is one of the biggest challenges for us," said Stephen Bullock of Southern States Equipment. The concern is practical: rental management platforms increasingly need to talk to telematics feeds, ERP systems, CRM tools, and accounting packages simultaneously. Off-the-shelf AI features are of limited value if the underlying platform cannot pass data cleanly between those layers.

The gap matters most for independent and regional operators, who lack the in-house development resources of the national chains to build custom connectors or force integrations that vendors have not prioritised.

Where AI investment is actually landing

The survey finding does not mean AI is absent from the rental software market. Over 52 percent of leading rental software vendors launched AI-enabled modules or mobile platforms in 2024 and 2025, according to market research published in April 2026. The direction of that investment, however, has skewed toward customer-facing tools rather than back-office adaptability.

The clearest example is United Rentals, which on 12 March 2026 launched Equipment Agent, described as an industry-first AI-powered recommendation tool. Customers using Equipment Agent reported a 70 percent improvement in finding the correct equipment for their projects, according to Tony Leopold, United Rentals' senior vice president and chief technology and strategy officer. The tool uses a conversational interface to match plain-language project descriptions against fleet specifications including capacity, reach, terrain limitations, and required accessories.

That kind of customer-facing AI is a different investment from the back-end configurability that independent operators say they need. The two priorities are not mutually exclusive, but the RER survey suggests vendors have been faster to ship AI features than to solve the integration and flexibility problems that constrain day-to-day operations at smaller fleets.

The integration problem in context

The structural drivers behind the ARA's upward forecast revision - megaproject demand, tariff-driven ownership costs, and market uncertainty - are pushing more contractors toward rental. That volume growth puts additional pressure on rental management systems:

• More transactions per day require faster, more reliable data flows between booking, dispatch, and billing modules.
• Larger fleets mean more telematics endpoints that need to feed utilisation data into a single dashboard.
• Multi-location operators need inventory visibility across branches without manual reconciliation.

Cloud-native systems now account for over 65 percent of total rental software deployments, reflecting the market's shift toward subscription-based models that are easier to update - but cloud hosting alone does not guarantee the API flexibility that operators are asking for.

The RER survey's timing is notable: it arrives as the ARA's revised forecast signals that the market's growth phase is durable enough to justify platform investment. Whether software vendors respond by prioritising configurability alongside AI features will determine which operators can scale efficiently into the next cycle of demand.