Each day we produce over 2.5 quintillion bytes of data, making it one of the world’s most valuable commodities. Data is everywhere and continues to be one of the fastest-growing industries in tech. However, it is important to put this data to good use and big data companies apply their expertise to help businesses address real-life problems using this data. This strategy is so successful that big data companies have generated over 274 Billion in revenue in 2022 which is 58.6 Billion more than in 2021.
Crunchbase
Industry: Business Intelligence and Analytics
Crunchbase is a big data company that offers detailed business insight for private and public companies. This information is particularly helpful for investors who can use the data to decide whether to invest in a company or not. Crunchbase also provides authentic information on funding rounds and estimated revenue for a company by using advanced machine learning and research.
Granular
Industry: Agriculture
Granular expanded its expertise in data science and machine learning into Agriculture to provide farmers with information and strategies to increase their yield. The company has been quite successful and has already raised over 25 million in funding.
Celonis
Industry: Big Data
Celonis focuses on data visualization and presenting data in a concise, more interpretable form. Celonis has collaborated with top companies like Uber, L’Oreal, and Cisco to help them understand their data and make useful business decisions.
Quid
Industry: Software and Analytics
Quid is an AI-driven company that uses advanced machine learning to convert news, product reviews, etc into visual data points. These points can then be used to help businesses create business reports and take more informed business decisions. Quid has collaborated with big brands like Adidas, Intel, and The New York Times and has influenced their business decisions.
Clever
Industry: Educational analytics
Cleaver is a big data company that uses data in educational space and helps educational institutions to connect more with their students. Using Clever’s data, institutions can better understand the main issues teachers face and provide strategies to make engaging and innovative edtech.
BuildZoom
Industry: Construction
BuildZoom is another big data company in the bay area that aims to revolutionize the construction industry with the use of data. BuildZoom connects businesses with local contractors and the matching is enforced by big data which makes it efficient for both parties.
Skupos
Industry: E-commerce
Skupos is a big data company that specializes in e-commerce. Skupos provides retailers with tools to maximize their spending and profits. With the use of data, Skupos helps businesses to implement efficient and effective supply chain management as well as help retailers understand the need of their customer base. Skupos has helped over 10,000 businesses all across the US including names like Shell, Sunoco, and Exxon Mobile.
UserTesting
Industry: User Interface design, Big data, software
Building an effective user interface is of paramount importance for any application. UserTesting offers this service by allowing organizations to conduct real-time A/B testing and collect customer feedback. UserTesting has built up a good reputation in the market and has collaborated with companies like Facebook and Walmart.
UniFi Software
Industry: Big Data and Software
Data is only useful when a company can deduce useful insight from it. UniFi Software focuses on decluttering big data and segmenting it into small data silos which makes it easier for businesses to interpret their data. UniFi then uses advanced machine learning models to optimize the data for the cloud. Companies that collaborated with UniFi Software include Disney and Nike making it clear that they are a big force to reckon with in the big data space.
Sift
Industry: Cybersecurity and Fraud Analysis
The digital space is filled with people who try to exploit businesses and engage in different frauds and exploitations. Sift is a company that focuses on cybersecurity by implementing machine learning on big data models to detect and prevent fraud. The platform also offers a global fraud database which is constantly growing and helping businesses all around the world. Sift has collaborated with many big corporations including Airbnb, Box, Twitter, and more.
Blend
Industry: Fintech
The blend is a big data company that helps financial institutions such as banks to create applications that are easy for users to navigate. With the help of Artificial Intelligence, Blend makes it easy for customers to use services like mortgage and consumer banking to increase their business.
Chorus.ai
Industry: Customer Service
Chorus.ai is a big data company that uses machine learning and Artificial intelligence to improve and optimize conversations between businesses and their customers. This helps organizations connect with their customers and increase customer satisfaction. Placester and Growbots are some of the companies Chorus.ai with.
HouseCanary
Industry: Real Estate
Real estate valuation can be deceiving and a small mistake can cost businesses a fortune. This is what prompted HouseCanary to use big data to accurately evaluate real estate value which is always more accurate as it is built on solid data rather than human assumption. HouseCanary has a database of over 100 million U.S. homes to forecast prices of individual properties as well as an entire neighborhood.
Segment
Industry: Marketing Tech
It’s no secret that businesses collect our data through various means of marketing and advertising tools. However, collecting data individually is less efficient and may not always provide the most accurate data. That is where Segment comes in which is a big data company that specializes in aggregating data in over 250 platforms to give in-depth insight into the data. The segment has been collaborating with large companies which include IBM, DigitalOcean, Levi’s, and more.
Red Ventures
Industry: Media
Red Ventures is a big data company that aims to provide personalized experiences that connect people with what they need to know. The company provides content that addresses many industries like education, technology, health, and more.
Sovrn
Industry: Advertising
Sovrn gives content producers big data tools so they can monetize their work, find distribution channels, and grow their customer bases. Publishers can also use the platform’s advertising tools to facilitate e-commerce functionality and grow their business.
Trifacta
Industry: Analytics
Big data can be messy and often difficult to bring useful insight out of it. Trifacta understands this issue and provides a way to manage company data.
LiveRamp
Industry: Adtech
LiveRamp is a big data company that brings together information from all sources to create an ecosystem where multiple teams within the company can leverage the data. This helps the marketing and sales team to work independently without having to depend on others. This approach of creating data silos has helped big companies like Google, Hulu, Whole Foods, and others to streamline their marketing data management practices.
Mapbox
Industry: Business Intelligence
Mapbox is a data-driven company that uses big data to create live map networks to help companies have the most up-to-date information about the landscape. Companies like door dash and CNN use this data to better optimize their business.
App Annie
Industry: Mobile
App Annie is a big data company that focuses on mobile marketing. It uses big data to help businesses get insight into advertising performance and help them engage with their customers at a personal level. This allows better-targeted ads and a more streamlined experience for the user.
