On 3 September 2026, Samsara reported a quarter that should make every logistics leader pay attention. Revenue reached $508.4 million, up 30% year over year, while annual recurring revenue crossed $2.1 billion, also growing 30%. The company added a record 242 customers spending more than $100,000 annually and 20 customers above $1 million.[1]
The important story is larger than one company’s earnings. These numbers are evidence of a structural change: connected operations, real-time visibility and AI based on physical-world data are moving from optional tools to essential infrastructure.
For Sensefinity, this is a strong market signal. We focus specifically on the cargo itself—containers, pallets, crates, temperature-sensitive goods and other valuable assets. As enterprises invest more deeply in connected operations, the need for cargo-level intelligence grows with them.
Enterprises are no longer buying isolated trackers
Samsara’s results show that large organizations increasingly want a common operational data layer. Among its customers generating more than $100,000 in annual recurring revenue, 96% use at least two products and 72% use at least three. Emerging products accounted for more than 20% of net new annual contract value for the third consecutive quarter.[1]
That pattern matters. Companies are not simply buying a dot on a map. They are connecting vehicles, equipment, sites and workflows so they can detect risk, automate decisions and improve performance across the operation.
Tracking is becoming the foundation for several outcomes at once:
knowing where vehicles, equipment and cargo are;
detecting delays, deviations and unauthorized movements;
protecting temperature-sensitive or high-value goods;
reducing manual status checks and fragmented spreadsheets;
feeding AI with reliable, real-time operational context;
creating evidence for compliance, insurance and customer service.
The market is shifting from “Where is my truck?” to “What is happening to every critical asset, and what should we do next?”
AI needs real-world data before it can create value
Samsara said adoption of some of its newest AI features increased more than fourfold in two months. Its platform now collects more than 30 trillion data points annually, up more than 40% year over year.[1]
This highlights a basic truth about physical AI: algorithms cannot improve an operation they cannot see.
A useful AI system needs current information from the field—position, movement, temperature, humidity, shock, dwell time, route changes and custody events. Without sensors and connected assets, AI is left working with delayed reports and incomplete assumptions. With live data, it can identify exceptions, forecast risk and recommend action while the outcome can still be changed.
Sensefinity applies that principle to supply chains. Our approach combines trackers and sensors with analytics, alerts and AI so organizations can learn from physical operations and react to events in real time.[5]
The cargo—not only the vehicle—must be connected
Fleet visibility solves an important part of the problem, but a vehicle and its cargo are not the same asset.
A trailer can be located after pallets have been removed. A truck can arrive on time while refrigerated products have experienced a damaging temperature excursion. A container can follow the planned route while an individual high-value item is substituted, opened or diverted during a handover.
That is where Sensefinity’s specialization becomes important. The Internet of Cargo connects the goods themselves and makes supply chains context-aware. Sensefinity provides real-time tracking, condition monitoring, operational alarms and KPIs across logistics operations.[4]
Our NB-IoT trackers and sensors can be attached to containers, pallets and crates. They support asset location, configurable geofence alerts, temperature and humidity thresholds, datalogging and long-life operation for use cases where continuous charging is impractical.[2]
This cargo-level layer complements fleet and connected-operations platforms. It closes the visibility gap between the movement of the vehicle and the condition, identity and custody of what the customer is actually paying to transport.
Why demand for tracking continues to rise
Several forces are reinforcing one another.
Supply chains are more valuable. Servers, electronics, pharmaceuticals, specialized components and premium food can concentrate enormous value in one shipment.
Exceptions are more expensive. A few hours of delay, an unnoticed temperature breach or an unauthorized transfer can turn a successful delivery into a write-off, recall or insurance claim.
Customers expect proof. “Delivered” is no longer enough. Companies increasingly need evidence of route, condition, origin and custody.
AI adoption increases the value of sensors. Every useful prediction depends on timely, trustworthy data from the physical operation.
Enterprises want fewer blind spots. As connected platforms expand across vehicles and sites, unconnected cargo becomes the missing part of the digital picture.
Samsara’s growth quantifies this wider appetite for visibility. Sensefinity is growing in the same demand environment, with a focused proposition for organizations that need intelligence at container, pallet and product level.
Sensefinity’s opportunity: deeper visibility and trusted data
Samsara’s financial performance is not a measure of Sensefinity’s revenue, and the companies operate at very different scales. What it validates is the category: organizations are allocating more budget to technology that connects physical operations and turns live data into action.
Sensefinity extends that value through cargo-specific capabilities and a blockchain layer. Data collected by trackers and sensors—including location, temperature, humidity and shock—can be registered in the logistics blockchain to create a more trustworthy record across partners.[3]
That combination supports a broader progression:
Connect the cargo with the appropriate tracker and sensors.
Detect exceptions through real-time alerts and configured thresholds.
Learn and forecast using AI and operational history.
Share trusted evidence across selected supply-chain partners.
Act earlier to prevent waste, theft, delays and quality failures.
This is why the growth of connected operations is relevant to Sensefinity. The more enterprises digitize vehicles, equipment and workflows, the clearer the need becomes to connect the cargo moving between them.
A market signal worth acting on
Thirty-percent growth at more than $2.1 billion in recurring revenue is not a niche technology story. It is evidence that visibility, sensors and physical AI are becoming part of how modern operations are built.[1]
The next stage is to make that visibility more granular: from fleets to trailers, from trailers to containers, from containers to pallets and, where the value or risk demands it, from pallets to individual products.
That is the growth path for the Internet of Cargo—and it is where Sensefinity is building.
Talk to Sensefinity about connecting your cargo, monitoring its condition and turning physical operations into trusted, actionable data.
Sources
[1] Samsara, “Samsara Crosses $2.1 Billion in ARR as Large Enterprises Standardize on Its Platform,” 3 September 2026: https://www.samsara.com/company/news/press-releases/q2-fiscal-year-27-results
[2] Sensefinity, “NB-IoT Trackers”: https://www.sensefinity.com/nbiot-trackers
[3] Sensefinity, “Blockchain”: https://www.sensefinity.com/blockchain
[4] Sensefinity, “Internet of Cargo”: https://www.sensefinity.com/internet-of-cargo
[5] Sensefinity, “AI for Supply Chains”: https://www.sensefinity.com/ai-for-supply-chains