Despite the challenges caused by the COVID-19 pandemic and increasing economic uncertainty, new startups are founded every day. To introduce you to 5 recently founded Big Data startups, we analyzed 2.861 startups in the field. All of them develop innovative solutions spanning from mapping technology to analytics.
The 5 promising Big Data startups you should watch in 2021 were hand-picked based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. The 2.861 companies that were analyzed for this report are identified using the StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally. When you are looking for up-to-date solutions for your innovation units, R&D, or product development department, the StartUs Insights Discovery Platform gives you the most exhaustive collection and ensures you continuously discover new startups, scaleups, and technologies.
Global Startup Heat Map: 5 Big Data Startups to Watch
The Global Startup Heat Map below highlights 5 Big Data startups developing technology-driven solutions. Moreover, you can explore global hotspots for Big Data startups and even download this graphic to include in your next presentation.
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Filum.ai enables Companies to make Data-Driven Business Decisions
Big data enables businesses to make smart decisions, get ahead of the competition and increase profitability. The technology also facilitates predictive analytics by analyzing large amounts of data from various sources. Companies can therefore easily model strategies for risk mitigation that prove to be more efficient and profitable when compared to conventional methods.
US-based startup Filum.ai provides a Big Data platform that enables companies to make data-driven business solutions. The technology allows companies to clean, merge, and enrich their data before stored in a secured private database that is accessed through the startup’s app solution and direct API access. Further, Filum’s platform uses artificial intelligence to turn data into insights for better business decisions regarding customer data, operations data, or logistics data.
Gleensite develops Mapping Technology for the Real Estate Sector
Real estate companies use Big Data and Predictive Analytics for lead generation, property generation, and property analysis. Property analysis is especially crucial as the value of a property can change drastically within a short time frame. This means that real estate agents need accurate insights to understand information and make better forward-looking decisions that increase profits.
Based in the UK, Gleensite continuously collects data, then applies adaptive and modulable predictive models using machine learning algorithms to visualize insights on their real-time mapping platform for end-users. Applied particularly in the real estate sector, Gleensite provides insights into how a certain region, country, city, or street may look like in the next 5 to 15 years.
Snke OS builds a Digital B2B Platform for Healthcare
In healthcare, Big Data is used to analyze large amounts of patient data to improve clinical decision making. Advanced clinical analytics lead to optimized patient care which, in turn, reduces treatment costs, introduces personalized medicine, and lowers the cost of clinical testing.
German startup Snke OS develops a platform of the same name which collects, stores, and provides comprehensive analytics and insights from data sources such as anatomical, spatial, video, and statistical data. The solution connects the dots between data sources and generates comprehensive insights to improve healthcare and best practices within the industry.
Eneryield provides Intelligent Energy Analytics
Big Data analytics help energy utilities by optimizing power generation and planning. This improves smart forecasting techniques to reduce costs and save energy. Predictive maintenance and informed decisions further enhance the accuracy of analytics with the help of data.
Eneryield, a Swedish startup, uses Big Data and AI to forecast electricity flows for long- and short-term predictions. The startup’s application focuses on smart grids, intelligent power electronics, and predictive maintenance to make effective decisions and provide intelligent analytics.
DigiAgri elevates Smart Farming using Big Data
Big data enables farmers to make smart decisions that ultimately improve their yields. In order to gain insights through smart technological algorithms, the technology uses past and present data. Accurate predictions and demand analysis are done at a more advanced level with the availability of real data.
Indian startup DigiAgri elevates smart farming using Big Data and AI to predict yield, crop quality, input demand, and output aggregation. Their technological solution allows farmers to make data-driven decisions to meet demand in through real-time smart actionable insights.
How will Big Data impact your company?
To stay ahead of the technology curve, it is important that you know which technologies and industry trends will impact your company. Explore our free Industry Innovation Reports or let us do the work for you. To keep you up-to-date on the latest technology and emerging solutions, we provide you with actionable innovation intelligence – quickly and exhaustively.
