Pet wearable technology has moved past location tracking. In 2026, a new generation of smart collars monitors heart rate, respiratory rate, activity, sleep quality, and behavior patterns — then uses AI to flag deviations from an individual pet's baseline before clinical signs become obvious to the owner. At CES 2026, multiple manufacturers debuted health-focused wearables with continuous vital-sign monitoring, and IDEXX identified wearables as one of the seven digital trends shaping veterinary practice this year.

This article covers what the current devices can and cannot measure, which ones are built for clinical-grade data versus consumer activity tracking, how the data might integrate into veterinary workflows, and what the evidence supports — and does not — today.

Why this matters for veterinary practices

Wearable data from pets is starting to enter the exam room. Owners who track their dog's activity, sleep, or vital signs on a collar app are increasingly sharing that data with their veterinarian. The question for practices is not whether to recommend a specific device but how to evaluate what the data means and whether it changes clinical decisions.

The pet wearable market is projected to grow significantly through 2034, with smart collars accounting for the largest device segment. The technology is evolving quickly enough that understanding the landscape now prepares practices for the data conversations that will become routine within a few years.

What pet wearables measure today

Modern pet wearables fall on a spectrum from basic activity tracking to clinical-grade vital sign monitoring. The key parameters:

The clinical value lies in the last three columns: continuous vital-sign monitoring, individualized baseline profiling, and AI-powered deviation alerts.

Major devices in the 2026 market

PetPace 3.0

PetPace is currently the most clinically oriented pet wearable on the market. The 3.0 version tracks activity, sleep, pulse, respiration, and temperature. New features include AI-powered pain monitoring, a beta seizure-detection feature, and 24/7 access to veterinarian telehealth services.

PetPace offers a veterinary subscription program that allows clinics to loan collars to patients for remote outpatient monitoring — for example, tracking vital signs after surgery, monitoring heart failure patients at home, or assessing pain management response.

Key specs:

• Monitors: pulse, respiratory rate, temperature, activity, sleep, position
• AI features: pain monitoring, seizure detection (beta), health alerts
• Veterinary program: clinic loaner collars for remote patient monitoring
• Price: approximately $299 hardware; subscription $25/month (billed $300/year, $200/year thereafter)
• Cat-compatible version available

Fi Smart Dog Collar Series 3+

Fi is the most widely recognized consumer pet wearable, positioned primarily around GPS tracking and activity monitoring. The Series 3+ adds AI-based behavior monitoring and Apple Watch integration.

Key specs:

• Monitors: activity, sleep, GPS location, behavior (AI-driven in 3+)
• GPS: live tracking with escape alerts
• Battery life: up to several weeks depending on tracking mode
• Durability: IP68 waterproof, 400+ lb chew resistance
• Strava integration for activity sharing
• Price: varies by model

In February 2026, Wagmo (a pet wellness plan provider) partnered with Fi to offer Fi devices to plan members, signaling a distribution model where wearables are bundled with pet insurance or wellness products.

Whistle Health Tracker

Whistle (now owned by Mars Petcare) focuses on behavior analytics and health scoring alongside standard activity tracking. It provides long-battery-life tracking and health insights through its companion app.

Key specs:

• Monitors: activity, sleep, behavior analytics
• Health scoring and trend analysis
• Licking, scratching, and drinking behavior tracking
• Price: varies

Maven Pet

Maven is a health-monitoring platform that attaches to the pet's existing collar. It tracks activity, rest, breathing patterns, and heart rate, with AI-driven alerts for deviations from the individual pet's baseline.

Maven has received attention for its use in managing chronic conditions — including heart failure, where owners use the respiratory monitoring feature to track resting breathing rate at home. User reviews highlight the affordability compared with dedicated cardiac monitors. A peer-reviewed validation study by Murphy et al. (2026) published in the American Journal of Veterinary Research (volume 87, issue 1) found that Maven's resting respiratory rate measurements had a bias of −0.78 breaths per minute compared with manual counts.

Key specs:

• Monitors: activity, rest, breathing rate, heart rate
• AI baseline profiling and deviation alerts
• App-based with veterinary data sharing
• Positioned for chronic condition monitoring
• Cat-compatible with itch-behavior tracking (scratching, head shaking)

Tractive Dog 6

Tractive is a GPS-focused tracker with activity monitoring features. It is positioned as the best inexpensive GPS pet tracker, with live tracking and virtual fencing. It does not monitor vital signs.

Key specs:

• Monitors: GPS location, activity
• No vital-sign monitoring
• Subscription-based cellular connectivity
• Price: lower than clinical-grade collars

SATELLAI Collar Go

Launched at CES 2026, the SATELLAI Collar Go combines GPS tracking with health monitoring via its "Petsense AI" engine. It tracks vital signs alongside location and activity.

Key specs:

• Monitors: GPS, activity, vital signs
• Petsense AI for health analytics
• Virtual fencing and mobile alerts
• Global GPS coverage

Invoxia Smart Dog Collar

Invoxia offers a biometric collar that combines GPS tracking with health scanning, including resting heart rate and respiratory rate monitoring. It is positioned between consumer GPS trackers and clinical-grade devices.

Key specs:

• Monitors: GPS, activity, resting heart rate, respiratory rate
• Biometric health scanning via embedded sensors
• Cellular-connected with app-based alerts

How the sensors work

Pet wearable sensors are evolving from simple accelerometers to more sophisticated measurement technologies:

• Accelerometers measure movement and orientation — the foundation of activity tracking, sleep staging, and basic behavior classification. Every pet wearable uses them.
• Photoplethysmography (PPG) uses light sensors to detect blood volume changes in tissue, enabling heart rate measurement through the skin. The challenge for pet wearables is that fur interferes with light transmission, requiring specialized sensor placement and signal processing.
• Radar-based sensors are emerging as an alternative for through-fur vital sign detection, using radio-frequency signals to detect chest wall movement for respiratory rate and, in some implementations, heart rate.
• Temperature sensors use thermistors or infrared proximity sensing near the skin surface.

The shift from accelerometers alone to PPG and radar-based sensors is what enables clinical-grade vital sign monitoring in the newest collars. The technology is still maturing — sensor accuracy varies with coat thickness, collar fit, and activity level.

Continuous glucose monitors: the most validated pet wearable

Continuous glucose monitors (CGMs) deserve separate mention as the most clinically validated wearable technology in veterinary medicine. Devices originally designed for human diabetes management (Freestyle Libre, Dexcom) have been adapted for dogs and cats with diabetes. They provide interstitial glucose readings every 1–5 minutes for up to 14 days, replacing or supplementing traditional glucose curves and fructosamine testing. CGMs are highlighted by IDEXX as a distinct wearable technology trend and have the strongest evidence base among pet wearables for directly changing clinical decisions. See Feline Diabetes Monitoring: Glucose Curves, Fructosamine, CGMs.

What the data can — and cannot — tell a veterinarian

What wearable data can contribute

• Baseline establishment: Continuous monitoring creates an individualized baseline for each pet. Deviations from that baseline — increased resting respiratory rate, decreased activity, changed sleep patterns — can be detected earlier than an owner would notice.
• Chronic condition monitoring: For dogs with congestive heart failure, chronic kidney disease, diabetes, or osteoarthritis, wearable data provides between-visit trend information. A rising resting respiratory rate in a CHF patient, for example, may indicate fluid accumulation before the dog shows clinical deterioration.
• Post-surgical and post-procedural monitoring: Clinics can loan collars to patients after surgery to track recovery metrics at home, including pain indicators, activity restriction compliance, and vital-sign stability.
• Medication response assessment: Changes in activity, sleep, or vital signs after starting a new medication (NSAID for OA, Librela, heart failure medications) provide objective data on treatment response.
• Seizure frequency documentation: Wearables with seizure-detection features can document seizure frequency and duration more reliably than owner recall, which is valuable for neurologists managing epilepsy patients.

What wearable data cannot do

• Replace a veterinary examination: A collar that detects elevated resting respiratory rate cannot tell you why the rate is elevated — it could be pain, anxiety, heart failure, respiratory disease, or fever. The data prompts the question; it does not answer it.
• Diagnose disease: Activity and vital-sign trends are biomarkers, not diagnostic tests. An abnormal trend warrants evaluation, not conclusion.
• Substitute for in-clinic diagnostics: Wearable data complements but does not replace bloodwork, imaging, echocardiography, or other diagnostics.
• Guarantee accuracy across all patients: Device accuracy varies by pet size, coat thickness, collar fit, and activity level. A Greyhound with a thin coat and deep chest may produce different signal quality than a Golden Retriever with a dense undercoat.

The evidence picture

The peer-reviewed evidence base for veterinary wearables is growing but still early:

• Resting respiratory rate validation: Murphy et al. (2026) in the American Journal of Veterinary Research validated Maven's collar for resting respiratory rate measurement, finding a bias of −0.78 breaths per minute compared with manual counting (95% limits of agreement: −6.81 to 5.26 breaths/min). This is the strongest independent validation for a specific wearable metric in veterinary use.
• Activity monitoring in OA: Sacoor et al. (2025) in Animals demonstrated that wearable activity monitoring can detect functional changes in dogs with osteoarthritis, providing objective data on treatment response.
• Pain detection: Several manufacturers (PetPace, Maven) cite studies showing AI algorithms can detect pain-related behavior changes. The evidence is promising but the studies are manufacturer-funded and the algorithms are proprietary.
• Seizure detection: PetPace's seizure-detection feature is currently in beta. Human epilepsy monitoring with wearables has substantial evidence; veterinary-specific validation is ongoing.
• Cardiac monitoring: Resting respiratory rate monitoring via wearables for CHF patients has the strongest clinical rationale, as elevated resting respiratory rate is an established early sign of decompensation in canine and feline heart failure.
• Activity monitoring: Accelerometer-based activity tracking is well validated. The limitation is not the measurement but the interpretation: what constitutes a meaningful decrease in activity versus normal daily variation depends on the individual pet's baseline.
• Wearable devices in veterinary healthcare: Mitek et al. (2022) in Veterinary Clinics of North America reviewed the broader landscape of wearable devices in veterinary medicine, concluding that the technology shows clinical promise but requires more independent validation studies.

The Purina Institute Global Summit 2026 featured a session by Shawn Wilkie on how consumer pet wearables can bring valuable data into the exam room, signaling that the veterinary industry is taking the trend seriously even while acknowledging the evidence is still maturing.

How practices can prepare

Do not wait for a device recommendation

You do not need to recommend a specific wearable to engage with the trend. Your clients are already using these devices. The practical question is: when an owner brings in a screenshot or trend report from a pet wearable, how do you interpret it?

Establish a data intake process

• If a client shares wearable data, note the device type and what it measures in the medical record.
• Use the data as a conversation starter: "I see Fluffy's resting respiratory rate has increased from 20 to 30 breaths per minute over the past two weeks. Let's discuss what that might mean and whether we should run diagnostics."
• Do not dismiss the data, but also do not treat proprietary AI alerts as clinical findings. They are screening tools, not diagnoses.

Consider a loaner program for specific cases

If your practice manages CHF patients, post-surgical patients, or chronic pain patients, a wearable loaner program (such as PetPace's veterinary subscription) can provide between-visit monitoring data. This is particularly relevant for:

• Post-operative patients sent home with activity restriction
• CHF patients where resting respiratory rate trending helps detect early decompensation
• OA patients where activity monitoring provides an objective measure of pain medication response
• Diabetic patients where activity and appetite trends supplement glucose monitoring

Consider cat-specific applications

Several devices now offer feline-compatible versions. PetPace and Maven both have cat-sized sensors with safety-release designs. Cat-specific applications include:

• Itch-behavior tracking: Maven tracks scratching and head-shaking patterns, which is useful for cats who mask dermatologic signs during veterinary exams.
• Respiratory monitoring in feline asthma and heart failure: Resting respiratory rate trending is as valuable for cats with cardiac disease as it is for dogs.
• Activity and appetite changes: Cats are notoriously subtle in showing illness. Wearable baseline profiling may detect the decreased activity and altered sleep patterns that precede a sick-cat presentation.

Common pitfalls for practices and clients

• Insufficient baseline establishment: Most AI-driven health alerts require 7–14 days of continuous wear to establish a reliable individual baseline. Owners who react to alerts during the first few days may be responding to noise, not signal.
• Poor collar fit: The "two-finger" rule applies — a collar that is too loose produces unreliable sensor readings; one that is too tight causes discomfort and may affect readings through pressure artifacts.
• Over-reliance as a safety device: A wearable is a monitoring tool, not a substitute for veterinary assessment, physical restraint, or emergency response. Owners should understand that seizure detection features are not safety monitors and that a device can fail or lose connectivity.
• Ignoring maintenance: Sensor contact points should be cleaned regularly to prevent signal degradation from skin oils and debris. Firmware updates should be installed when available. Collars should be checked for physical damage (cracked housings, frayed straps) that can affect sensor performance.

Be transparent about evidence limits

When clients ask whether a wearable is worth the investment, the honest answer depends on the case:

• For a healthy young dog: A basic activity tracker is fine for fitness monitoring. A clinical-grade collar is unlikely to change outcomes in a pet without chronic disease.
• For a geriatric dog with multiple comorbidities: Continuous vital-sign monitoring may provide meaningful early-detection value, particularly for cardiac and respiratory conditions.
• For a seizure dog: A seizure-detection collar may improve documentation of seizure frequency and help the neurologist adjust medication — but the feature is still maturing and should not be relied upon as the sole safety monitor.

Where the technology is heading

Based on the CES 2026 product launches and industry trajectory:

• Baseline profiling will become standard: Rather than comparing a dog's vitals to a species-wide reference interval, the next generation of wearables will compare each pet to its own historical baseline. This individualized approach is more sensitive to early changes.
• Veterinary platform integration: Wearable data will increasingly flow into PIMS and EMR systems, allowing veterinarians to view trends alongside lab results and medical history. Fibocom's MQ771-GL module, launched in March 2026, is designed to integrate multiple health sensors into a single collar platform with cellular connectivity.
• Insurance and wellness plan bundling: The Wagmo/Fi partnership in February 2026 points to a model where wearables are bundled with pet insurance and wellness plans, making the devices more accessible and linking health monitoring data to claims and coverage.
• Regulatory and clinical validation: As wearables make clinical claims (pain detection, seizure detection, cardiac decompensation prediction), they will face increasing scrutiny for validation. Veterinarians should look for peer-reviewed, independent studies rather than relying solely on manufacturer marketing.

Honest tradeoffs

Sources

• IDEXX Software. "7 Digital Veterinary Technology Trends Shaping Practices In 2026." https://software.idexx.com/resources/blog/7-digital-veterinary-technology-trends-shaping-practices-in-2026
• PCMag. "The Best Pet Trackers and GPS Dog Collars for 2026." https://www.pcmag.com/picks/the-best-pet-trackers-and-gps-dog-collars
• PetPace. PetPace Smart Health Collar product page. https://petpace.com
• Fortune Business Insights. "Pet Wearable Market Size, Share & Growth Analysis [2034]." https://www.fortunebusinessinsights.com/pet-wearable-market-109856
• Grand View Research. "Pet Wearable Market Size & Share | Industry Report, 2033." https://www.grandviewresearch.com/industry-analysis/pet-wearable-market
• Maven Pet. Maven Pet Health Tracker product page. https://maven.pet
• Purina Institute. "How might wearable technology change the future of veterinary care?" Global Summit 2026 session. https://www.facebook.com/PurinaInstitute/posts/1005297295190058
• SiiPet. "AI Pet Wearables 2026: Predictive Health Monitoring and Smart Pet Care Evolution." https://siipet.com/blogs/hot/ai-pet-wearables-2026-predictive-health-monitoring-and-smart-pet-care-evolution
• Sky Canyon Animal Hospital. "The Future of Pet Care: Veterinary Tech Trends to Watch in 2026." https://www.skycanyonanimalhospital.com/blog/the-future-of-pet-care-veterinary-tech-trends-to-watch-in-2026
• Murphy M, et al. Validation of a pet wearable collar for resting respiratory rate measurement in dogs. American Journal of Veterinary Research. 2026;87(1). https://pubmed.ncbi.nlm.nih.gov/41145070
• Sacoor S, et al. Wearable activity monitoring in dogs with osteoarthritis. Animals. 2025.
• Mitek M, et al. Wearable devices in veterinary healthcare. Veterinary Clinics of North America: Small Animal Practice. 2022.