Did you know that the global big data analytics market was worth USD 231.43 billion in 2021 and is expected to reach USD 549.73 billion by 2028? Indeed, if the report produced by Fortune Business Insights is anything to go by, the big data analytics market does have a promising growth with an expected CAGR of 13.2% during the forecast period of 2021-2028. The driving force behind such a growth is the digital revolution across various business verticals like retail, healthcare, information technology, production and manufacturing. This has led to the emergence of many startups in the field of data analytics.
Data analytics startups are receiving good response from the investors as the field is poised to grow in the future. Apart from the usual technology roles, people are now more interested in exploring their skills in the data analytics field. They are trying to gain the right skills with a Data science certification course so as to become eligible for open positions in startups as well as enterprises. If you are curious to know what the top data analytics startups are in 2022, then this article is for you.
Here goes the list!
Bigeye is a startup known for offering a data observability platform that assists teams in measuring, enhancing, and effectively conveying data quality at any scale. The company believes that data is of utmost importance in today’s digital world and impacts the very way people work, play, or live. The founders of this startup are Kyle Kirwan and Egor Gryaznov, and the duo worked previously on the data pipelines for Uber’s in-house A/B testing tool that reported the standardized metrics for numerous experiments conducted by the company.
Deepnote was founded to help data teams solve the most pressing issues, something that was beyond the need for better algorithms, more computing power, or bigger datasets. It was launched with an aim of introducing powerful tools that could inspire data professionals to explore, reason, and collaborate. The company has brought a new standard in data tooling; it is reinventing tools for data exploration from first principles. With offices in Prague and San Francisco, Deepnote has been joined by popular investors like naval Ravikant, Accel, Y Combinator, Elad Gil, and Index.
Rupert hosts a team of data fanatics and technologists with relevant experience in the field of business analysis. The company was built around four key principles that help business stakeholders understand actionable insights by themselves. It offers an analytics distribution and engagement tool that is capable of solving last-mile issues in the analytics chain. In other words, it unifies data analytics across several disparate tools and bridges the gap between analytics production and consumption. The organization was founded by Omri Givoni, Yoni Steinmetz, and Ziv Wangenheim in 2019.
Open AI is a renowned name in the startup ecosystem as one of its founders is none other than Elon Musk, the CEO of Tesla Motors. The other founders of this startup are Greg Brockman, Ilya Sutskever, Sam Altman, and Wojciech Zaremba. Headquartered in the San Francisco Bay Area, this AI research and deployment company aims to ensure that artificial general intelligence benefits all of humanity. The company is often viewed as an important competitor to Google acquiring DeepMind. OpenAI’s research basically emphasizes reinforcement learning, and some of its popular applications include Gym, RoboSumo, Debate Game, Dactyl, and MuseNet.
David Durrleman, Eric Sibony, and Jeremy Jawish established Swift Technologies with the conviction that artificial intelligence and machine learning have the power to transform the insurance industry, overcome complex problems, and enable insurers to see, do, and be more for their clients. The company has hired several insurance-focused customer success advisors, data scientists, project managers, engineers, and insurance industry experts to build AI-native solutions for insurers to deliver amazing customer experiences. Founded in 2014, the company now has offices in Paris, Boston, Singapore, Toronto, London, Mexico City, Tokyo, Madrid, and Sao Paulo.
Indico is a popular tool that unlocks the value of unstructured data with intelligent document processing to deliver significant impact across your enterprise. Its leadership team involves people who have rich experience and expertise in AI and ML-powered solutions. The company was founded in 2013 by Alec Radford, Diana Yuan, Madison May, and Slater Victoroff. The Indico Platform leverages AI and ML to automate the intake of unstructured documents, images, emails, audio files, videos, and much more and gives structure to such unstructured data. The company aims to help its clients reach an 85% reduction in process time, a 4X increase in process capacity, and an 80% reduction in resources needed to analyze the key insights found in unstructured data.
Apart from the ones mentioned above, there are other startups gaining traction from investors across the world. If you are interested in a data analytics career, then you can find out more details regarding these startups and pave your way towards a promising career ahead.