Best indoor positioning systems for 2026: an honest comparison

Indoor positioning locates people, assets, or devices inside buildings where GPS doesn’t work. But choosing the right system means navigating a crowded market of vendors, each with different technologies, strengths, and limitations.

This guide compares nine indoor positioning systems available in 2026, with honest assessments of where each works best — and where it doesn’t. If you want to understand the underlying technologies (BLE, UWB, Wi-Fi RTT, fingerprinting), see our separate technology comparison guide. This page focuses on the vendors and products themselves.

Quick comparison

1. Crowd Connected

Technology: Bluetooth Low Energy beacons combined with smartphone inertial sensors. A patented self-calibrating algorithm adjusts to each building automatically — no fingerprinting or calibration walks required.

Accuracy: Two to three metres, sufficient for room-level positioning, wayfinding, session-level attendance tracking, and zone-based analytics.

What it does well:

• Fastest deployment in the market — battery-powered beacons install with self-adhesive in hours
• No fingerprinting, no calibration, no specialist installation
• Works on both iOS and Android with a single SDK
• Composable platform: the same beacon infrastructure supports wayfinding, attendance tracking, asset tracking, and location analytics
• Self-calibrating — adapts as environments change (ideal for events where venues are reconfigured)
• Proven at scale: two to three events per week across 100+ venues globally, plus permanent installations in hospitals and universities

Where it’s less suited:

• Not designed for centimetre-level precision (if you need <30 cm accuracy, consider UWB)
• Requires beacon hardware (unlike Wi-Fi-only or magnetic field approaches)

Best for: Events and conferences (rapid temporary deployment), hospitals (whole-site coverage from a single gateway), universities, and smart buildings. Organisations that need wayfinding, tracking, and analytics from a single platform.

Pricing: Based on deployment size and duration. Ranges from affordable packages for 200-person conferences to large-scale permanent installations.

Website: crowdconnected.com

2. Cisco Spaces (formerly Cisco DNA Spaces)

Technology: Wi-Fi-based positioning using existing Cisco access points. Leverages the RSSI and (on newer models) Fine Timing Measurement data from Cisco APs to estimate device positions.

Accuracy: Five to eight metres in typical deployments, depending on AP density.

What it does well:

• No additional hardware if you already have Cisco Wi-Fi infrastructure
• Integrated with the Cisco networking ecosystem
• Provides occupancy analytics alongside positioning
• Enterprise-grade management and security

Where it’s less suited:

• Requires Cisco APs — significant investment if you don’t already have them
• Licensing costs are substantial and ongoing
• Accuracy is typically insufficient for room-level positioning or wayfinding
• Android-centric — iOS support is limited due to Apple’s restrictions on Wi-Fi scanning
• Only covers areas where APs are installed — gaps in stairwells, car parks, and outdoor areas
• High latency — not suitable for real-time navigation

Best for: Large corporate offices that already have dense Cisco Wi-Fi deployments and want basic occupancy analytics without additional hardware.

Pricing: Cisco Spaces licensing is per AP, on top of existing Cisco networking costs. Total cost of ownership is significantly higher than BLE-based alternatives.

Website: spaces.cisco.com

3. IndoorAtlas

Technology: Uses the Earth’s magnetic field as a positioning signal. Buildings distort the magnetic field in unique patterns; IndoorAtlas maps these patterns and uses them to determine position (magnetic fingerprinting). Can be supplemented with BLE and Wi-Fi.

Accuracy: One to three metres, depending on the quality of the magnetic map and environmental conditions.

What it does well:

• No additional hardware required in some scenarios (uses magnetic fields + smartphone sensors)
• Can achieve good accuracy in environments with strong magnetic signatures
• Works on both iOS and Android
• Interesting technology with potential for infrastructure-free positioning

Where it’s less suited:

• Requires fingerprinting (walking every corridor to build a magnetic map) — labour-intensive and must be repeated when the environment changes
• Magnetic signatures can shift over time, degrading accuracy
• Performance varies significantly between buildings — some environments have weak or inconsistent magnetic patterns
• Not self-calibrating — manual recalibration required

Best for: Retail stores and museums where the layout is relatively static, the building has strong magnetic signatures, and the investment in initial fingerprinting is acceptable.

Website: indooratlas.com

If you are evaluating IndoorAtlas, see our side-by-side comparison: Crowd Connected vs IndoorAtlas.

4. Situm

Technology: Combines Wi-Fi and BLE fingerprinting with sensor fusion. Requires a site survey to build a radio map of the venue.

Accuracy: One to three metres with a well-calibrated radio map.

What it does well:

• Multi-technology approach (Wi-Fi + BLE + sensors) provides redundancy
• Supports both iOS and Android
• Active in the healthcare and airport verticals
• Cloud-based platform with analytics dashboards

Where it’s less suited:

• Fingerprinting-based — requires calibration walks during deployment and recalibration when the environment changes
• Deployment takes weeks, not hours
• Performance degrades between recalibrations
• Higher ongoing maintenance cost than self-calibrating alternatives

Best for: Hospitals and airports with static layouts where the site survey investment is justified and regular recalibration can be scheduled.

Website: situm.com

5. Sewio

Technology: Ultra-wideband (UWB) real-time location system. Uses anchors mounted on walls/ceilings and UWB tags on tracked items or people. Time Difference of Arrival (TDoA) calculation provides high-precision positioning.

Accuracy: Sub-30 centimetres in optimal conditions.

What it does well:

• Exceptional accuracy for industrial use cases
• Real-time tracking with low latency
• Strong in manufacturing and logistics
• Good integration with industrial IoT platforms

Where it’s less suited:

• Does not work with smartphones — requires dedicated UWB tags
• Anchors require power and ethernet at each installation point
• Expensive infrastructure — both hardware and installation
• Coverage requires line-of-sight between tags and anchors
• Not suitable for wayfinding or visitor-facing applications (no smartphone support)
• Deployment takes weeks with specialist installation

Best for: Manufacturing floors, logistics centres, and warehouses where centimetre-level accuracy is genuinely required and the infrastructure investment is justified.

Website: sewio.net

6. Pozyx

Technology: UWB-based positioning similar to Sewio. Offers both TDoA and Two-Way Ranging modes with anchors and tags.

Accuracy: Sub-30 centimetres.

What it does well:

• High precision for industrial applications
• Developer-friendly platform with good API documentation
• Hardware is well-regarded for build quality
• Supports both 2D and 3D positioning

Where it’s less suited:

• Same limitations as all UWB systems: no smartphone support, wired infrastructure, high cost
• Smaller scale deployments than Sewio
• Not suitable for events, visitor wayfinding, or smartphone-based applications

Best for: Smaller-scale industrial tracking, research labs, and robotics applications where precision matters and budget is available for UWB infrastructure.

Website: pozyx.io

7. Marvelmind

Technology: Ultrasonic positioning using stationary beacons and mobile hedgehog devices. Achieves centimetre-level precision using time-of-flight ultrasonic signals, supplemented with IMU data.

Accuracy: Two centimetres in ideal conditions — the most accurate system on this list.

What it does well:

• Extraordinary precision for controlled environments
• Well-suited to robotics, AGVs, and research applications
• Relatively affordable hardware for a high-precision system
• Active developer community

Where it’s less suited:

• Not smartphone-compatible — requires Marvelmind hedgehog devices
• Ultrasonic signals require line-of-sight and are affected by obstacles, temperature, and humidity
• Coverage area per beacon is limited
• Not designed for building-wide wayfinding or visitor-facing applications
• Setup is technically involved — not a deploy-in-hours proposition

Best for: Robotics, automated guided vehicles, drone positioning, and research environments where centimetre precision is essential and the controlled conditions suit ultrasonic technology.

Website: marvelmind.com

8. Pointr

Technology: BLE fingerprinting combined with sensor fusion. Requires a site survey to build a BLE radio map, then uses this map alongside smartphone sensor data to determine position.

Accuracy: One to three metres with a well-calibrated radio map.

What it does well:

• Deep Cisco partnership — integrated with Cisco DNA Spaces
• Active in retail and corporate campus deployments
• Supports iOS and Android
• Offers a turn-key deployment service

Where it’s less suited:

• Fingerprinting-based — same calibration and maintenance requirements as other fingerprint systems
• Deployment takes weeks
• Strong Cisco dependency may be a limitation if you use different networking vendors Best for: Cisco-centric corporate campuses where the Pointr–Cisco integration adds value, and retail environments with stable layouts.

Website: pointr.tech

9. Apple Indoor Maps (IMDF)

Technology: Apple’s Indoor Maps Data Format uses Wi-Fi fingerprinting to provide indoor positioning within Apple Maps. Venues submit floor plans and Apple performs (or assists with) the fingerprinting calibration.

Accuracy: Three to five metres, variable depending on venue and Wi-Fi density.

What it does well:

• Free for venues to participate
• Integrates directly into Apple Maps — no separate app required for iOS users
• Leverages Apple’s massive user base

Where it’s less suited:

• iOS only — Android users get nothing
• Fingerprinting-based — requires calibration and periodic recalibration
• Apple controls the process, timeline, and quality
• Limited customisation — you can’t build analytics, tracking, or engagement on top of it
• Not available in all regions
• Accuracy is often insufficient for meaningful wayfinding

Best for: Venues that want basic indoor maps visible in Apple Maps as a supplementary feature, alongside a separate positioning solution for Android users and more advanced use cases.

How to choose

The right system depends on three factors:

1. What are you tracking — smartphones or tags? If you need to position visitors’ smartphones (for wayfinding, attendee tracking, or analytics), your options are Crowd Connected, IndoorAtlas, Situm, Pointr, or Apple IMDF. If you’re tracking assets or equipment with dedicated tags, Sewio, Pozyx, or Marvelmind enter the picture.

2. How quickly do you need to deploy? If you need something running in hours (events, temporary deployments), only Crowd Connected’s self-calibrating BLE approach meets this timeline. Everything else requires days to weeks.

3. What accuracy do you actually need? For wayfinding, attendance tracking, and zone-based analytics, two-to-three-metre accuracy is more than sufficient — and it’s what most smartphone-based systems deliver. Sub-metre and centimetre accuracy from UWB and ultrasonic systems is impressive but unnecessary (and vastly more expensive) for most building and event applications.

For most organisations evaluating indoor positioning in 2026, the practical advice is the same as it’s been for several years: start with BLE + inertial, deploy quickly, and iterate based on real data. The technology that works reliably at scale, in the real world, will always outperform the one with the best spec sheet.

For a deeper dive into the technologies behind these systems (BLE, UWB, Wi-Fi RTT, fingerprinting, channel sounding), see our indoor positioning technology comparison for 2026. For developers, see our indoor positioning SDK.