According to a Fortune Business Insights report, the data visualization market in 2019 was estimated at $8.85 billion. By 2027, the market worth is expected to be $19.20 billion at a compound annual growth rate of 10.2%.
The proliferation of smartphones, growing Internet use, rapid advancements in Machine Learning, and the rising adoption of cloud computing technologies as well as the Internet of Things are driving the global data visualization market.
In addition, the increasing inclination for smart factories and the ever-widening use of visual analytics, information visualization, and scientific visualization in both small and large organizations are also contributing to the growth of the data visualization market.
Check out the video below that explains what Data Visualization is, Why we use Data Visualization, major considerations for Data Visualization and the basics of different types of graphs.
What Is Data Visualization?
Data visualization is the process of graphical representation of data in the form of geographic maps, charts, sparklines, infographics, heat maps, or statistical graphs.
Data presented through visual elements is easy to understand and analyze, effectively extracting actionable insights from the data. Relevant stakeholders can then use the findings to make more efficient real-time decisions.
Data visualization tools, incorporating support for streaming data, AI integration, embeddability, collaboration, interactive exploration, and self-service capabilities, facilitate the visual representation of data.
Here are 15 top-notch data visualization tools that are gaining market recognition for their impressive performance and usability.
What Are Data Visualization Tools?
Some of the best data visualization tools include Google Charts, Tableau, Grafana, Chartist, FusionCharts, Datawrapper, Infogram, and ChartBlocks etc. These tools support a variety of visual styles, be simple and easy to use, and be capable of handling a large volume of data.
Data is becoming increasingly important every day. For any organisation, you can understand how important data is while making crucial decisions. For the same reason, data visualisation is grabbing people's attention. Modern data visualisation tools and advanced software are on the market. A data visualisation tool is a software that is used to visualise data. The features of each tool vary, but at their most basic, they allow you to input a dataset and graphically alter it. Most, but not all, come with pre-built templates for creating simple visualisations.
What Do the Best Data Visualization Tools Have in Common?
All of the technologies available on the market for data visualisation have something or another feature in common. The first advantage is their simplicity of usage. There are two types of software that you will most likely encounter: those that are easy to use and those that are really difficult to visualise data. Some include good documentation and tutorials and are constructed in user-friendly ways. Others, regardless of their other qualities, are missing in certain areas, excluding them from any list of "best" tools. The one thing you should ensure is that the software can handle large amounts of data and many kinds of data in a single display.
The better software can also generate a variety of charts, graphs, and maps kinds. Obviously, there will be others in the market who present the facts in a somewhat different manner. Some data visualisation tools specialise in a single style of chart or map and excel at it. Those tools are also among the "best" tools available. Finally, there are financial concerns. While a larger price tag does not inherently disqualify a tool, it must be justified in terms of greater support, features, and overall value.
1. Tableau
Tableau is a highly popular tool for visualizing data for two main reasons: it's easy to use and very powerful. You can connect it to lots of data sources and create all sorts of charts and maps. Salesforce owns Tableau, and it's widely used by many people and big companies.
Tableau has different versions like desktop, server, and web-based options, plus some customer relationship management (CRM) software.
Providing integration for advanced databases, including Teradata, SAP, My SQL, Amazon AWS, and Hadoop, Tableau efficiently creates visualizations and graphics from large, constantly-evolving datasets used for artificial intelligence, machine learning, and Big Data applications.
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