Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working in the field of mobility. As there is a large number of startups working on a wide variety of solutions, we want to share our insights with you. This time, we are taking a look at 5 promising big data & analytics startups impacting mobility.
Heat Map: 5 Top Big Data & Analytics Startups
Using our StartUs Insights Platform, covering 1.116.000+ startups & emerging companies, we looked at innovation in the field of mobility. For this research, we identified 134 relevant solutions and picked 5 to showcase below. These companies were chosen based on a data-driven startup scouting approach, taking into account factors such as location, founding year, and technology among others. Depending on your specific criteria, the top picks might look entirely different.
The Global Startup Heat Map below highlights 5 startups & emerging companies developing big data & analytics solutions. Moreover, the Heat Map reveals regions that observe a high startup activity and illustrates the geographic distribution of all 134 companies we analyzed for this specific topic.
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Zoba – Demand Forecasting For Shared Mobility Services
A rapid increase in the availability of data increases the scope for forecasting demand in any industry. Innovations like autonomous, connected, electric, and shared vehicles enable the mobility industry to become more cost-effective. Startups and emerging companies are working on big data solutions to forecast demand in shared mobility.
The US-based startup Zoba develops customizable mobility solutions. With the help of the Zoba application programming interface (API), the startup processes clients’ ride data to understand and forecast demand. Additionally, the startup assists clients with fleet optimization by using techniques such as rebalancing and dynamic pricing. The API uses external databases to factor in seasonality, weather, and events as well.
Newton Technologies – Data-Driven Road Safety Platform
Road safety remains a major public health problem in many countries. Combining traffic and road data with advanced technology helps prevent accidents and reduce injuries. An increase in road safety directly results in an efficient transportation system and also reduces traffic congestion. Startups are making use of artificial intelligence (AI) and deep learning to provide road safety solutions for the mobility industry.
The US-based startup Newton Technologies constructs a platform to improve road safety. With the help of machine learning and deep learning, the startup analyses sensor data, global positioning system (GPS) data, and external data, as well as data on road safety. The virtual driver assistant recommends course corrections and provides real-time updates regarding accidents.
AIDrivers – Autonomous Mobility Solutions
Autonomous vehicles (AV) for logistics and warehousing operations improves worker safety and overall efficiency. AVs enable organizations to control and monitor warehouse productivity by operating day and night and reducing the workload for human workers. Organizations develop autonomous vehicles as mobility solutions to improve the overall bottom line of industrial operations.
British startup AIDrivers offers autonomous vehicles and mobility solutions for industrial operations. The startup enables organizations to optimize operations and transition to automated processes with intelligent job scheduling and live operation visualization. Additionally, the AI-enabled solution, AIFO, uses knowledge-based global path planning to optimize and manage fleets.
SharingOS – Shared Mobility For Last-Mile Connectivity
Rising urban density and transportation congestion issues drive companies to develop innovative shared mobility services. These solutions help lower transportation costs, reduce fuel consumption, and aids in economic development. Shared mobility also results in improved environmental awareness. Startups and emerging companies develop electric vehicles to improve the last-mile shared mobility industry.
British startup SharingOS provides mobility sharing software and hardware systems. The startup has a portfolio of electric vehicles ranging from e-cycles, e-scooters, and e-mopeds. These Internet of Things (IoT)-enabled vehicles are connected through the SharingOS software and serve as on-demand plug-and-play mobility options for users.
Citymagine – Mobility Infrastructure Inspection
Advancements in vehicle-to-vehicle (V2V) and vehicle-to-everything (V2X) communication relies on the development of necessary infrastructure to form the base for enabling mobility transformation. Modifications to infrastructure with automated processes also enable a smoother transition for implementing smart city solutions. Various companies are developing automated inspection solutions for mobility infrastructure including camera-mounted traffic lights and smart bus stops.
French startup Citymagine creates automated inspection solutions for mobility infrastructure. With the help of smart cameras, the startup maps and tracks equipment, as well as potential hazards. This increases the safety and security of roadways and consequently provides a conducive environment for autonomous vehicles to operate at their full potential.
What About The Other 129 Solutions?
While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence so you can achieve your goals faster. The 5 big data & analytics startups in mobility showcased above are promising examples out of 134 we analyzed for this article. To identify the most relevant solutions based on your specific criteria, get in touch.
