Data Visualization Statistics 2024 – Everything You Need to Know

Are you looking to add Data Visualization to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Data Visualization statistics of 2024.

My team and I scanned the entire web and collected all the most useful Data Visualization stats on this page. You don’t need to check any other resource on the web for any Data Visualization statistics. All are here only 🙂

How much of an impact will Data Visualization have on your day-to-day? or the day-to-day of your business? Should you invest in Data Visualization? We will answer all your Data Visualization related questions here.

Please read the page carefully and don’t miss any word. 🙂

Best Data Visualization Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 71 Data Visualization Statistics on this page 🙂

Data Visualization Benefits Statistics

  • Research by Robert Horn at Stanford University shows the benefits of using visual aids to accompany verbal communication 64% of participants made an immediate decisionfollowing presentations that used an overview map. [0]

Data Visualization Market Statistics

  • 3x more likely to execute decisions as intended 5x more likely to make decisions much faster than market peers. [1]
  • Shows the number of observations of a particular variable for given interval, such as the number of years in which the stock market return is between intervals such as 010%, 11. [2]
  • Social media has a 100% higher leadto close rate than outbound marketing. [0]
  • 84% of B2B marketers use social media in some form. [0]
  • 79% of video marketers use Facebook as a video marketing channel. [0]
  • 87% of sales and marketing leaders say collaboration between sales and marketing enables critical business growth. [0]
  • Sales and marketing alignment can lead to a 32% increase in yearover. [0]
  • Sales and marketing alignment can lead to 208% growth in marketing revenue. [0]
  • According to the forecast, the healthcare market’s big data is expected to reach a market valuation of$34.27 billionby 2024. [0]
  • Approximately80%of significant healthcare market players invested in big data analytics and artificial intelligence driven by the need for business transformation and market competition, enhancing agility and reducing expenditure. [0]
  • Here are some infographics statistics to convince you to start using this visual format in both your external as well as internal communications 65% of brands use infographicsin marketing. [0]
  • According to analysts, augmented virtual reality’s market value is projected to be approximately$209 billion globallyby 2024. [0]

Data Visualization Software Statistics

  • The company implemented the software, set the system up within a week, and delivered a998%ROI. [0]

Data Visualization Adoption Statistics

  • In 2017, the EHR adoption rate by hospitals in the United States was nearly perfect, with96% having a federally tested and certified EHR program—a ninefold increase since 2008. [0]

Data Visualization Latest Statistics

  • 90% of the information transmitted to the brain is visual. [1]
  • 50% of the brain is active in visual processing. [1]
  • 93% of communication is nonverbal. [1]
  • High quality infographics are 30x more likely to be read than plain text. [1]
  • People who follow directions with illustrations do 323% better than those who follow textonly directions. [1]
  • If a scientific claim is presented in pure words or numbers, 68% of people will believe that the information is accurate and truthful. [1]
  • But if you put a simple graph with the claim, the number rises to 97%. [1]
  • The same Wharton School of Business study found that the use of data visualizations could shorten business meeting by 24%. [1]
  • Managers in organizations with visual data recovery tools are 28% more likely to find timely information than those who rely on managed reporting and dashboards. [1]
  • What’s more, 48% of these managers can find the data they need without the help of I.T. staff. [1]
  • Companies with the most advanced analytics capabilities are 2x more likely to be in the top quartile of financial performance within their industries. [1]
  • 2x more likely to use data very frequently when making decisions. [1]
  • According to Vitaly Friedman the “main goal of data visualization is to communicate information clearly and effectively through graphical means. [2]
  • Categorical subdivisions are measured as a ratio to the whole (i.e., a percentage out of 100%). [2]
  • It is estimated that 2/3 of the brain’s neurons can be involved in visual processing. [2]
  • Studies have shown individuals used on average 19% less cognitive resources, and 4.5% better able to recall details when comparing data visualization with text.[22]History[edit]There is no comprehensive ‘history’ of data visualization. [2]
  • According to the Interaction Design Foundation, these developments allowed and helped William [23]Playfair, who saw potential for graphical communication of quantitative data, to generate and develop graphical methods of statistics.[20]. [2]
  • [20] Studies have shown individuals used on average 19% less cognitive resources, and 4.5% better able to recall details when comparing data visualization with text.[22]. [2]
  • According to the Interaction Design Foundation, these developments allowed and helped William [23]. [2]
  • The use of visual language is proven to increase meeting effectiveness and efficiency, leading to24% shorter meetings. [0]
  • Groups using visual language have experienced a21% increase in reaching consensuscompared to groups that did not use visuals. [0]
  • Combined visual and verbal communicationincrease credibility and influence rate to 43%compared to 17% when only verbal communication is used. [0]
  • A study found that in organizations using visual data discovery tools, 48% of the managers can find the information they need without the help of IT staff. [0]
  • And 74% of organizations that use visual data discovery empower managers to make decisions when necessary. [0]
  • Currently,86%of those working in digital experience use traditional web analytics, while84%collect feedback on customer interactions through online surveys and forms. [0]
  • Just over half (56%). [0]
  • Of those surveyed,42%are already using heatmaps to analyze behavior across their web and mobile sites, while a further21%have plans to adopt this technology in the next 1–2 years.29%are also tracking behavior through session replays. [0]
  • In the early stages of their buyer journeys,81%of B2B buyers report enjoying listicles,72%infographics,66%blogs, and62%videos. [0]
  • In the mid stage of their buying journey, 50% want to see assessments, 49% research and reports, and46%case studies. [0]
  • Case studies (35%), third party reports (31%), and assessments (18%). [0]
  • Sales productivity increases by up to44%by monitoring the team’s performance in real time with custom reports and dashboards. [0]
  • 53% of top performing salespeople have a higher confidence level in their CRM data than their counterparts. [0]
  • By 2015,demanded data analytics and system management as the most needed skills for C level candidates.80% of hospitals. [0]
  • And by 2019,72% of the publicbelieved that their doctors would do a better job coordinating their care by adopting the EMR , which leads to the improved overall quality of care in the country. [0]
  • Using a dashboard to visualize electronic health record data resulted in a65% reductionin time spent on data analysis in the first year alone. [0]
  • With the new data driven strategy, Dropbox sees improvements in talent diversity by hiring as many as42% underrepresentedgroups from total hires that year. [0]
  • The research found data and algorithms canimprove job performance prediction by 50%, which results in more productive hires. [0]
  • Work Institute Retention Reportreveals that more than75% of employeeswho quit could have been retained, and voluntary turnover costs exceeded$630 billionlast year. [0]
  • But with the help of data, resignations can be predicted 17 times more accuratelythan guesswork or intuition alone. [0]
  • Report shows a242% increasein HR professionals with data analysis skills over the last five years. [0]
  • 73% of talent professionalssurveyed say people analytics will be a major priority for their company over the next five years. [0]
  • Survey finds, out of 7000 talent professionals across the globe, on average,85%say people analytics will be “very important” in shaping the future of HR and recruiting. [0]
  • Infographics canboost website traffic by 12%. [0]
  • 84% of peoplewho have used an infographic consider them to be useful. [0]
  • Infographics and other colorful visuals can increase sales byup to 80%. [0]
  • Infographics get94 percent more viewershipthan other static content. [0]
  • According to Alfredo Ruiz, Design Lead at IBM Watson, “visualizing data in 3D allows users to uncover trends and patterns that may not be immediately visible with 2D visualizations.”. [0]
  • 86%of customers said they shopped online to save time at the dealership during the pandemic, citing this as the No.1 benefit of virtual car shopping. [0]
  • For instance, if 46% of people say yes to some questions. [3]
  • For the most recent release, data from 99% of the U.S. population are displayed for cancer cases diagnosed in 2018 only and the most recent 5 years combined. [4]
  • Mortality data are available for 100% of the U.S. population. [4]
  • The tool also presents survival and prevalence estimates, which are based on CDC’s National Program of Cancer Registries data covering 86% of the U.S. population. [4]
  • Data are from the 2021 Census of Population and are available according to the major releases of the 2021 Census release dates. [5]
  • Data are from the 2016 Census of Population and are available according to their release. [5]
  • Next, A 100% Stacked Column chart can show the sub groups within a group. [6]
  • If a comparison based on absolute difference is needed, a stacked column chart (not 100%). [6]

I know you want to use Data Visualization Software, thus we made this list of best Data Visualization Software. We also wrote about how to learn Data Visualization Software and how to install Data Visualization Software. Recently we wrote how to uninstall Data Visualization Software for newbie users. Don’t forgot to check latest Data Visualization statistics of 2024.

Reference


  1. piktochart – https://piktochart.com/blog/data-visualization-statistics/.
  2. csgsolutions – https://blog.csgsolutions.com/15-statistics-prove-power-data-visualization.
  3. wikipedia – https://en.wikipedia.org/wiki/Data_visualization.
  4. tdan – https://tdan.com/descriptive-statistics-and-data-visualization/25110.
  5. cdc – https://www.cdc.gov/cancer/uscs/dataviz/index.htm.
  6. statcan – https://www150.statcan.gc.ca/n1/en/type/data.
  7. towardsdatascience – https://towardsdatascience.com/statistics-telling-stories-with-data-visualization-904ceddf2afb.

How Useful is Data Visualization

One of the key benefits of data visualization is its ability to simplify complex information. As human beings, we are visual creatures, and we often process visual information much more quickly and effectively than we do text or numbers. By presenting data in a visual format, we can quickly identify trends, patterns, and outliers that may not be evident from looking at raw data alone. This makes it much easier for us to grasp the meaning of the data and draw conclusions from it.

Another advantage of data visualization is its ability to communicate information in a highly effective way. Visualizations can tell a story about the data in a way that is engaging and intuitive, making it much easier for us to understand and remember key insights. This is especially important when working with diverse audiences who may have varying levels of data literacy. By presenting information visually, we can ensure that everyone is on the same page and can easily interpret the data being presented.

Data visualization is also extremely valuable for spotting trends and patterns that may not be obvious at first glance. By representing data visually, we can quickly identify correlations, outliers, and other key insights that can help us make informed decisions. Whether we are analyzing sales data, tracking key performance indicators, or monitoring social media trends, data visualization can help us identify important patterns and make data-driven decisions based on them.

Furthermore, data visualization can help with data exploration and discovery. By visualizing data in different ways – such as bar charts, scatter plots, or histograms – we can uncover new insights and ask new questions that we may not have thought of before. This can lead to new discoveries and help us see patterns and relationships that we may have otherwise missed.

Overall, data visualization is a powerful tool that can help us make sense of complex data sets, communicate information effectively, identify trends and patterns, and explore new insights. In today’s data-driven world, the ability to visualize data in a way that is easy to understand and interpret is essential. Whether we are making strategic business decisions, conducting research, or simply trying to gain a better understanding of the world around us, data visualization can help us unlock the potential of our data and make informed decisions based on it.

In Conclusion

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We tried our best to provide all the Data Visualization statistics on this page. Please comment below and share your opinion if we missed any Data Visualization statistics.




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