Top 10 Data Science Funding and Acquisitions Until Q3 2022

Top 10 Data Science Funding and Acquisitions Until Q3 2022
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The top data science funding and acquisitions in Q3 2022 has plummeted 57% less than in Q2 2022

According to 'Tracxn Geo Quarterly Report,' Q3 2022 in data science funding and acquisitions saw funding of $3 billion, which is 80% less than the highest funding of $14.9 billion obtained in the same quarter last year and 57% less than Q2 2022. Data science funding majorly topped in Q3.

Data science is an interdisciplinary field that applies information from data across a wide range of application fields by using scientific methods, procedures, algorithms, and systems to infer knowledge and insights from noisy, structured, and unstructured data. Data science is supported by specialized software and real-time analytics systems, providing several advantages for businesses worldwide. As a result, the need for big data science companies has been growing tremendously. Numerous firms in the growing fields of AI and data analytics are raising money through data science acquisitions. This post provides a list of the top data science funding in 2022 Q3.

1.PolyAI

Funding: US$40 Million

PolyAI creates business voice assistants who engage in casual discussions with clients to address their issues. No matter what or how clients speak, our voice assistants can understand them.

They assist businesses were dealing with customers is a vital aspect of doing business. Some of the top brands in banking, hospitality, insurance, retail, and telecommunications are among their clients.

2.Cribl

Funding: US$150 Million

They are aware of the difficulties clients encounter when trying to identify that one crucial data point, much like looking for that one nugget of gold in a sea of sand. They have worked on designing and creating big data analytics solutions for more than 30 years together in the observability ecosystem.

3.Imply

Funding: US$100M

The mission of Imply, a firm of developers, innovators, problem-solvers, and mavericks, is to support developers in advancing the field of analytics innovation. They have the financial support of Geodesic Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Tiger Global Management, and Khosla Ventures.

4.Stord

Funding: US$120 Million

Making your supply chain competitively advantageous is the goal of Stord. Stord empowers winning businesses with the capability to intelligently coordinate, grow, and optimize their supply chains from a single linked platform, unlike losing brands that piece together different 3PLs and off-the-shelf software services.

5.Hex

Funding: US$52 Million

No more switching between tools, juggling versions, or screenshot sharing. Hex gives everyone the ability to collaborate, learn, and ask and answer questions. a fantastic, contemporary platform for analytics and data science. Hex streamlines the whole analytics workflow, from ad-hoc studies to stunning dashboards to intricate programs, so your team can concentrate on coming up with new ideas, making choices, and moving things along. A superior method for exploring, transforming, and visualizing data is hex. One UI that integrates SQL, Python, no-code, and R is supported by a reactive graph-based computing engine.

6.dbt Labs

Funding: US$220 Million

A transformation workflow called debt labs enables teams to quickly and cooperatively release analytics code while adhering to best practices for software engineering like modularity, portability, CI/CD, and documentation. Now, anyone with a working knowledge of SQL can create data pipelines fit for production. With debt, you can transform, test, and record your analytics data regardless of where it is kept: in a cloud warehouse, data lake, lake home, beach house, or lake house.

7.Starbust Data

Funding: US$250 Million

The goal of Starburst is to empower clients to see the unseeable and do the impossible. Their founding team has been working on finding solutions to problems with data access for more than ten years across three firms. These issues with data silos and access speed are addressed by the contemporary solution offered by Starburst.

8.Firebolt

Funding: US$100 Million

Data will be the driving force behind all significant decisions in the future, according to Firebolt. a world in which huge data is really quick! They exist to give corporate users the ability to rapidly receive answers to any question. Business customers may ask a lot more queries thanks to Firebolt's data warehouse as a service, which offers extraordinary speed at any size. after which some more. till they come across something truly remarkable.

9.Airbyte

Funding: US$150 Million

Regardless of the tools you employ, Airbyte wants to offer your infrastructure superpowers to capture and move data seamlessly. All of this is possible by planning for future developments and honoring the users' right to data security.

10.QuestDB

Funding: US$12 Million

Remote work comes first at QuestDB. Their group is constructing the quickest open-source time-series database from the ground up and manufactures every component in-house. They are focused on performance and work to produce a solution that developers will use.

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