Skip to content
‹ Back to IndustriesIndustrial IoT

Grounds-care contractors are buying for uptime, not horsepower

Grounds-care contractors are increasingly prioritizing equipment uptime over horsepower. Their future technology wishlist includes telematics, battery-powered solutions, and automation. The integration of 'physical AI' in field equipment is a growing trend.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By MarketScale Newsroom · · Landscape OperationsCommercial MowingTurf EquipmentFleet Management
Share
Listen to the audio brief

Key facts, context, and what it means.

AUDIO
0:00—
Grounds-care contractors are buying for uptime, not horsepower

Key takeaways

01

Grounds-care contractors value uptime and maintainability more than horsepower in their equipment purchases.

02

Contractors are interested in telematics, battery technology, and automation for future equipment.

03

Physical AI, which executes tasks rather than just recommending them, is a fast-growing category projected to expand from over $5 billion in 2025 to $82.8 billion by 2035, with components likely to be bundled into mowers and other equipment over time.

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Bobcat put its ZT7000 zero-turn mower on CBS Sports this week, tying it to a new campaign featuring NFL running back Raheem Mostert that runs through December 2026, according to Turf Magazine. It reads like marketing, because it is. But it also reflects a real buying shift: commercial grounds-maintenance buyers increasingly pay for crew productivity and uptime, then ask the OEM to back it up.

That shift shows up in Turf Magazine’s 2027 equipment forecast, published Aug. 25, 2026. Managing editor Jessica Schwartz reported that six manufacturers described a market where the “next big thing” is less horsepower and more maintainability, operator comfort, and tools that let one crew cover more work without adding headcount.

Zoom out further and the same idea is playing out across industrial automation. Smart Industry’s Aug. 2, 2026 reporting on “physical AI” ties a fast-growing category of AI-driven machines to a market forecast that goes from over $5 billion in 2025 to $82.8 billion by 2035, citing Acumen Research and Consulting. Lawn and turf aren’t factories, but the technology pipeline increasingly is shared.

The 2027 spec is written around labor hours, not cutting width

Turf Magazine’s equipment forecast is blunt about what contractors are asking for now: machines that are easier to maintain, comfortable to operate, and versatile enough to handle multiple jobs without adding another unit to the trailer. The reason, as Schwartz reported, is that contractors are weighing labor shortages, higher operating costs, and whether the purchase still pencils out five years from now.

Across the manufacturers Turf interviewed, the throughline is ownership experience. Gravely’s Patrick McQuillan told Turf Magazine that contractors want productivity improvements “throughout the entire ownership experience,” not only while cutting. John Deere’s Luke Gribble pointed to efficiency and profitability pressures, and Bobcat’s Lee Smith emphasized intuitive controls and versatility that make each labor hour count, according to Turf Magazine.

For enterprise operators, that changes how a mower, compact tool carrier, or handheld line item gets justified. A spec sheet can still win the demo day, but it won’t win the budget meeting unless it moves measurable season-long metrics: acres per hour, mean time to repair, callbacks for missed strips or trimming, and the number of “dead” hours a crew spends fueling, loading, and troubleshooting.

The new performance spec isn’t top speed, it’s how many labor minutes the machine gives back each week.

Battery platforms and telematics are becoming the ‘fleet’ conversation

Turf Magazine’s forecast also positions batteries and fleet visibility as day-to-day productivity aids rather than lifestyle extras. Milwaukee Tool’s Katy Stringfield said battery advances and platform compatibility can help crews stay productive while reducing downtime, Turf reported. That matches what many multi-crew operators are already finding: when charging capacity and spare packs are managed like inventory, the “fuel system” turns into a scheduling issue as much as a power issue.

Telematics is the other half of that story. Turf’s forecast calls out growing interest in fleet management and visibility. In practice, that means equipment buying starts to look like software buying. It raises questions about data ownership, who gets alerts, and whether the dealer can actually act on fault codes fast enough to matter during peak mowing weeks.

This is where the Mostert campaign, although it’s consumer-style media, still signals something enterprise buyers should clock. Turf Magazine reported the creative leans on speed, precision, and efficiency. That’s OEMs selling outcomes. Operations teams will still have to translate those outcomes into contractable metrics and maintenance commitments.

Physical AI is pushing autonomy from demo to deployment

Smart Industry describes physical AI as systems that don’t just recommend a decision, they execute it on equipment, conveyors, assembly cells, or in a warehouse. That matters for turf and grounds because autonomy is already arriving as “bounded” use cases: autonomous mowing in defined areas, assisted navigation, obstacle detection, and scheduling that happens off a map rather than from a foreman’s memory.

Smart Industry’s article offers its clearest operational signal in the market-size numbers. According to Smart Industry, citing Acumen Research and Consulting, physical AI was over $5 billion in 2025 and is projected to reach $82.8 billion by 2035, with a projected 32.8% CAGR. Even if those forecasts miss the mark, figures at that scale imply OEMs and suppliers will continue pushing autonomy features into mainstream products because the funding behind the toolchain is sizable and enduring.

Smart Industry also pointed to Nvidia’s March GTC announcements around Isaac GR00T N models and Cosmos world models as part of a simulation-to-deployment pipeline, and listed industrial robotics firms such as ABB Robotics, FANUC, KUKA, Yaskawa, and Universal Robots as building in that ecosystem. For grounds-care equipment buyers, the near-term implication isn’t that a humanoid shows up on the jobsite. It’s that perception, navigation, and “understanding the environment” become cheaper and more reliable, and those components can be bundled into mowers, skid-steers, and compact loaders during ordinary refresh cycles.

Autonomy is starting to look like a feature you finance, not a science project you pilot.

Where this lands in 2027 budgets and dealer conversations

The manufacturers Turf Magazine spoke with are effectively telling contractors to buy for friction removal: fewer maintenance touches, fewer training mistakes, fewer dead minutes between jobs. Smart Industry’s physical AI reporting suggests the automation supplier base will keep maturing quickly, which usually means more features bundled into base models and more software tied to service.

That combination shifts risk. The more the fleet depends on batteries, connectivity, and autonomy stacks, the more uptime depends on charging discipline, dealer response times, and software support. For operators with highly seasonal demand and tight service windows, those dependencies belong in procurement language now, while 2027 refresh specs are being written.

Questions to put in your next mower and equipment RFP

  • For any battery platform, what’s the required charging infrastructure and spare-pack ratio to keep crews moving on peak weeks, and who owns that plan, the dealer, the OEM, or the contractor? (Turf Magazine notes battery tech and platform compatibility are becoming central.)
  • If the OEM pitches telematics, what specific alerts and workflows reduce downtime, and what is the SLA for dealer response when a fault code trips mid-week? (Turf Magazine reports growing emphasis on fleet visibility.)
  • For any autonomy or assisted features, what are the operating boundaries, mapping requirements, and failure modes, and how do those constraints affect route planning and labor allocation? (Smart Industry’s definition of physical AI is execution, not dashboards.)
  • When marketing promises “speed, precision, efficiency,” what KPI will be used to validate it over a season, acres per labor hour, rework rates, or wrench time? (Bobcat’s campaign language, as reported by Turf Magazine, is outcome-oriented; ops teams need measurement.)

Featured companies

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

A 3.5% utilities jump led September's rise in US industrial output

A 3.5% utilities jump led September's rise in US industrial output

US industrial production rose 0.7% in September, led by a 3.5% jump in utilities output while factories added only 0.3%. Factory output remains below its 2017 level. Total capacity use hit 76.9%, but manufacturing's 75.9% rate shows slack persists on production lines even as mines run above their long-run norm.

  • 01Manufacturing utilization has held between 75.8% and 76.0% since April, 2.3 points under its long-run norm.
  • 02The November 17 release is the test: a factory operating rate breaking out of its six-month band, or utilities giving back September's 3.5%, would change the read on where capacity is tight.

Oct 19, 2026

Rugged computers grow 5.8% a year, slower than the industrial IoT around them

Rugged computers grow 5.8% a year, slower than the industrial IoT around them

IndexBox's new forecast puts rugged computers at $6.8 billion in 2026, growing 5.8% a year to $11.3 billion by 2035. Industrial IoT forecasts run faster. Their growth estimates range from 8.16% to 16.8% a year, which points field-device buyers toward connectivity, software and services as the faster-growing part of the spend.

  • 01Rugged computer forecasts of 5.4% and 5.8% trail the 8.16% to 16.8% projected for industrial IoT, pointing to faster growth in solutions and services than in devices.
  • 02Market-size estimates disagree far more than growth rates do: one firm's 2032 rugged forecast of $5.57 billion is below another's 2026 figure of $6.8 billion, so device budgets can benchmark growth rates and treat total size as background.
  • 03Connectivity, including 5G and satellite links, is moving onto the rugged spec sheet next to durability as demand shifts toward connected, real-time data capture in the field.

Oct 16, 2026

Case picking automation fails when nobody schedules the human

Case picking automation fails when nobody schedules the human

Vecna Robotics' CaseFlow system orchestrates both robots and human workers, emphasizing synchronized scheduling to address case picking inefficiencies. Zone-based dispatch prevents robot congestion, and Robotics 24/7 reported in October 2026 a two times throughput gain and up to 90% less worker travel at a GEODIS site.

  • 01Vecna reported a two times throughput gain and up to 90% less worker travel at a GEODIS deployment, Robotics 24/7 wrote in October 2026.
  • 02Vecna says on its site that CaseFlow reads demand from the WMS in real time, which is what turns a robot platform into a case picking workflow.
  • 03Prime Robotics says on its own site that goods-to-person lifts productivity up to six times; Vecna says on its site it delivers two times or more with no fixed infrastructure and deployment in four weeks or less.

Oct 15, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512