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Top 45 Data Visualization Tools to Get Insights in 2024

Top 45 Data Visualization Tools to Get Insights in 2024Top 45 Data Visualization Tools to Get Insights in 2024

Humans are naturally visual creatures, so it is no surprise that we search for better ways to portray and understand what data is telling us. Data visualization is one of the most effective ways to achieve this because it enables us to take data or ideas that are abstract and difficult to understand as written, and turn them into something easily understood in a more graphical or visual format.

What is data visualization?

We’ve defined data visualization before:

Data visualization is the use of algorithms to create images (graphical and pictorial) from data so that humans can more effectively understand and respond to that data.

However, for any data visualization to be effective, it requires the right tool – which in many cases can mean a multifunctional tool that includes capacity for both visualization and analysis.

How is it different than infographics for businesses?

Data visualization is a presentation of a selected data set to deliver valuable insights to businesses. On the other hand, an infographic is a large collection of visual data representations that are mostly used to engage customers’ attention.

How to choose the right data visualization tool for your business?

When organizations run into challenges related to meaningful communication, the right data visualization tool can make all the difference. It can solve issues of miscommunication, ‘undercommunication’, or just simply bad communication. 

Data visualization tools demonstrate the importance of not only having data, but having data that can be understood. Subsequently, choosing the right data visualization tool for your business is a process that should include stakeholders from both business and IT in order to ensure that all needs are met.

There is a wide range of factors that come into choosing the right data visualization tool. It is helpful to start by identifying the requirements of your business so that you can later compare these with the different capabilities of tools available in the market. Once these elements have been established, choosing the right solution for your organization can proceed more efficiently.

After completing an initial assessment of your goals, it can be helpful to consider the needs of your organization in the following categories:

Data requirements of your organization

Big data and analytics projects are mostly end-to-end projects that require different data tools to be successful. Some questions you can ask to help determine your data requirements include:

  • What is the quality of this data?
  • How much transformation will the data need?
  • How many sources of data do you have?
  • How large are your datasets?

If your enterprise needs to access the quality of their data and learn how to improve it, we recommend you to read our data cleaning guide.

  • How will data be imported into the visualization tool?
  • Are there any built-in connectors available?

To learn more about data integration and data integration tools, feel free to read our articles.

Storage Questions

  • Do all of these sources need to be available in a single location?
  • Will it be imported raw or need to be aggregated first?
  • Where will the data live?

Check out data virtualization research to learn about data storage solutions.


Data visualizations are only useful if they can reach the right people at the right time. A few questions to help find your communication requirements are:

  • How will visualizations be shared?
  • How often will they be updated and will sharing of these updates be automated?
  • Will there be a need to export data from the visualization separately?
  • Who will be the final audience for the visualizations?

Visualization capabilities

Being able to effectively and efficiently create a visualization is key. Some questions include:

  • What information will be displayed?
  • Should statistical features be included?
  • What features will be included? Some features include:
    • dynamic data,
    • visual querying,
    • linked multidimensional visualization,
    • animation,
    • personalization,
    • actionable alerts
  • Who will be creating the visualizations? What is their skill level?
  • How much interaction and filtering is needed?

By thoroughly assessing your needs based upon the above criteria, you can help to improve the odds of acquiring the right data visualization tool for your business. Cost, of course, is an important factor to consider as part of any decision making process.

Photo source: Evan Sinar via Medium

What are the common features of data visualization tools?

Common functionalities found in many general data visualization software include:

  • View multiple datasets and reports within a single location
  • Real-time access and mobility
  • Display data from multiple sources within a single, customizable dashboard
  • Data transformation tasks such as: joining, pivoting, custom calculations
  • Location intelligence
  • Generate customizable dashboards
  • Embedding visual reports into other applications
  • Data mining to identify patterns and trends in datasets

What are the leading data visualization vendors?

Visualization focus

There are a number of tools dedicated to data visualization alone or to a certain topic or industry. Though the volume of vendors is increasing rapidly and vendor landscape is shifting to AI-powered tools, Tableau is a leading vendor. Features such as data blending and real-time team collaboration make Tableau data visualization tool unique. A few vendors on the market today are:

NameFoundedStatusNumber of Employees
Google Charts1998Public10,001+
Google Data Studio2016Public10,001+
Highsoft Highcharts2006Private11-50
Zoho Reports1996Private1,001-5,000

BI & visualization focus

An example BI dashboard with visualizations. Photo source: ConceptDraw

Business intelligence (BI) and data visualization have a close relationship because they both ultimately aim to help users in making more informed decisions. Subsequently, it is not uncommon to have a BI solution that includes visualization capacity. Some other reasons why data visualization and BI support each other are:

  • Improved communication of data
  • A faster and better way to identify patterns, correlations, trends
  • Leading to improved chances of early identification of new opportunities

Some BI tools with data visualization capabilities are:

NameFoundedStatusNumber of Employees
Microsoft Power BI1975Public10,001+
Google Data Studio1998Public10,001+
Dundas BI1992Private51-200
Zebra BI2013Private2-10
Oracle Visual Analyzer1911Public10,000+

Self-service reporting

Self-service reporting tools are a component of self-service analytics that enables business users to generate real-time reports and dashboards from data via easy-to-use graphical user interfaces (GUIs) without relying on technical skills.

For companies that are not willing to spare the budget for data scientists and prefer to rely on citizen data scientists, self-service reporting tools help gain insights from data.

Some self-service reporting tools include:

NameStatusNumber of Employees
Apache PredictionIOPrivate1,001-5,000
Einstein Analytics by SalesforcePublic10,000+
IBM CognosPublic10,000+
Infosys niaPublic10,001+
Microsoft Power BIPublic10,000+
MicroStrategy IncPublic1,001-5,000
Oracle Analytics ClousPublic10,000+
Qlik SensePrivate1,001-5,000
SAP Analytics CloudPublic10,000+
Sisense IncPrivate501-1,000
TIBCO Software IncPrivate1,001-5,000

For more on data visualization

If you are curious to learn more about data-visualization, read:

And if you believe your business would benefit from a data visualization tool, we have a data-driven list of vendors prepared.

We will help you choose the best one based on your specifications:

Find the Right Vendors

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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Aug 23, 2019 at 10:44

I can recommend AnswerMiner. It’s a web-based data analysis tool. Automatic charts, correlation matrix, relation map, and prediction tree helps you in the process. (You don

Chelsea Smith
May 23, 2019 at 13:13

To get a interactive deshborard and Data Insights with auto-classification, #OpenText Magellan works best for me!

Nov 27, 2018 at 11:18

Hi! I suggest adding a description of new data visualization tools for your users. Try out the new AtomicusChart data visualization tool get a free trial for 3 months. I can send a press release