While the initial wave of the IoT was focused on connecting assets for remote monitoring and efficiency gains, the most profound Internet Of Things Market Opportunities lie in using the data from these connected ecosystems to create entirely new services, business models, and customer experiences. One of the largest opportunities is the transition from selling products to selling "outcomes-as-a-service." For example, a lighting manufacturer can move from selling light bulbs to selling "light-as-a-service," where they use connected, intelligent lighting systems to guarantee a customer a certain level of illumination and energy efficiency for a monthly fee. Similarly, a tire manufacturer can use sensors in their tires to monitor tread wear and pressure, and instead of selling tires, they can sell "miles-as-a-service" to a trucking fleet. This model, which is only possible with the real-time data and predictive analytics provided by IoT, creates long-term, recurring revenue streams and transforms the relationship between a manufacturer and its customer from a transactional one to a continuous partnership.

Another massive opportunity lies in the creation of high-fidelity "Digital Twins." A digital twin is a dynamic, virtual model of a physical asset, process, or system that is continuously updated with data from its real-world counterpart. The opportunity is to use these digital twins as a risk-free sandbox for simulation, analysis, and optimization. An engineer can use the digital twin of a new car to simulate how it will perform under millions of miles of virtual driving conditions before a single physical prototype is built. A city planner can use the digital twin of a city to model the impact of a new public transit line on traffic flow and air quality. This ability to test, validate, and optimize in the virtual world before implementing in the physical world is a transformative opportunity that can dramatically accelerate innovation, reduce costs, and improve the safety and performance of complex systems.

The convergence of IoT and blockchain technology presents a fascinating, though still nascent, opportunity to create more secure, transparent, and autonomous systems. In complex supply chains, for example, IoT sensors can track the location and condition (e.g., temperature) of goods as they move from the farm to the store. By recording this data on a distributed, immutable blockchain ledger, all parties in the supply chain (the farmer, the shipping company, the retailer) can have a shared, trusted, and tamper-proof record of the product's journey. This can dramatically improve traceability, reduce fraud, and ensure food safety. Blockchain can also be used to facilitate secure, autonomous transactions between IoT devices. For example, an electric vehicle could use an IoT and blockchain platform to autonomously find, connect to, and pay for electricity at a charging station, without any human intervention, creating a true machine-to-machine economy.

Finally, there is a huge and largely untapped opportunity in leveraging aggregated IoT data to create entirely new data-driven products and services. While the data from one company's fleet of connected tractors is valuable to that company, the anonymized and aggregated data from thousands of fleets across an entire region can be used to create highly accurate models for crop yield predictions, soil health trends, and pest outbreaks. A company that provides the IoT platform could monetize this aggregated data by selling these insights to insurance companies, commodity traders, or government agricultural agencies. Similarly, aggregated data from connected cars can be used to create high-definition, real-time traffic maps that are far more accurate than traditional methods. The opportunity to become a broker of this unique, real-world data, transforming it into valuable intelligence products, represents a powerful new business model for the IoT industry.

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