How about the fact that 5 million businesses are actively using the WhatsApp Business app to connect with their customers? Or the fact that there are over 1 billion WhatsApp groups worldwide? That’s what a user base of 2 billion people gets you.ĭid you also know that WhatsApp is now available in 180 countries and 60 different languages worldwide? WhatsApp users exchange up to 65 billion messages daily.ĭid you know that WhatsApp is the most popular and most downloaded messaging app worldwide? Bing, the second most popular search engine, only garners 2.8% of the pie, while Yahoo gets 1.51%.ĭon’t go anywhere-our collection of astounding big data stats for 2022 is just getting started! 2. However, it’s not entirely surprising, considering the tech giant dominates the market with a 91.9% share.
If it seems massive, that’s because it is. So Google gets 8.5 billion daily queries, putting it at 99K searches/second! Each day, Google processes 8.5 billion searches.
Big Data 2023 Statisticsīut, can data indeed be considered as the new gold? Let's find out together as we surf through some of the most impressive Big Data statistics for 2022. Finally, in meteorology, it helps study global warming.Īlright! Now that we’ve covered the basics, let’s check out some interesting statistics about big data. It is also immensely useful in the banking sector, where it aids in recognizing illegal activities such as money laundering. In healthcare, it helps avoid preventable diseases by detecting them in their early stages. Now, why is big data important? Once analyzed, this data helps in a multitude of ways. Predictions estimate the world will generate 181 zettabytes of data by 2025.Using big data, Netflix saves $1 billion per year on customer retention.97.2% of organizations are investing in big data and AI.95% of businesses cite the need to manage unstructured data as a problem for their business.Internet users generate about 2.5 quintillion bytes of data each day.In 2020, every person generated 1.7 megabytes in just a second.Poor data quality costs the US economy up to $3.1 trillion yearly.The big data analytics market is set to reach $103 billion by 2023.With the help of big data analytics tools, we can gather different types of data from the most versatile sources – digital media, web services, business apps, machine log data, etc. So, there are a variety of tools used to analyze big data - NoSQL databases, Hadoop, and Spark - to name a few. These datasets cannot be collected, stored, or processed using any of the existing conventional tools due to their quantity and complexity.
For anyone who’s new to the concept of big data, TechJury has prepared a brief intro on the topic.īig data refers to enormous data sets gathered from numerous sources. In today’s piece, we’ll focus all our attention on some of the most mind-boggling big data statistics.
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