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 data visualization market growth.
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, enabling the effective extraction of 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.
One of the most widely used data visualization tools, Tableau, offers interactive visualization solutions to more than 57,000 companies.
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.
The Pros of Tableau:
- Excellent visualization capabilities
- Easy to use
- Top class performance
- Supports connectivity with diverse data sources
- Mobile Responsive
- Has an informative community
The Cons of Tableau:
- The pricing is a bit on the higher side
- Auto-refresh and report scheduling options are not available
2. Dundas BI
Dundas BI offers highly-customizable data visualizations with interactive scorecards, maps, gauges, and charts, optimizing the creation of ad-hoc, multi-page reports. By providing users full control over visual elements, Dundas BI simplifies the complex operation of cleansing, inspecting, transforming, and modeling big datasets.
The Pros of Dundas BI:
- Exceptional flexibility
- A large variety of data sources and charts
- Wide range of in-built features for extracting, displaying, and modifying data
The Cons of Dundas BI:
- No option for predictive analytics
- 3D charts not supported
A web-based application, JupyteR, is one of the top-rated data visualization tools that enable users to create and share documents containing visualizations, equations, narrative text, and live code. JupyteR is ideal for data cleansing and transformation, statistical modeling, numerical simulation, interactive computing, and machine learning.
The Pros of JupyteR:
- Rapid prototyping
- Visually appealing results
- Facilitates easy sharing of data insights
The Cons of JupyteR:
- Tough to collaborate
- At times code reviewing becomes complicated
4. Zoho Reports
Zoho Reports, also known as Zoho Analytics, is a comprehensive data visualization tool that integrates Business Intelligence and online reporting services, which allow quick creation and sharing of extensive reports in minutes. The high-grade visualization tool also supports the import of Big Data from major databases and applications.
The Pros of Zoho Reports:
- Effortless report creation and modification
- Includes useful functionalities such as email scheduling and report sharing
- Plenty of room for data
- Prompt customer support.
The Cons of Zoho Reports:
- User training needs to be improved
- The dashboard becomes confusing when there are large volumes of data
5. Google Charts
One of the major players in the data visualization market space, Google Charts, coded with SVG and HTML5, is famed for its capability to produce graphical and pictorial data visualizations. Google Charts offers zoom functionality, and it provides users with unmatched cross-platform compatibility with iOS, Android, and even the earlier versions of the Internet Explorer browser.
The Pros of Google Charts:
- User-friendly platform
- Easy to integrate data
- Visually attractive data graphs
- Compatibility with Google products.
The Cons of Google Charts:
- The export feature needs fine-tuning
- Inadequate demos on tools
- Lacks customization abilities
- Network connectivity required for visualization
Visual.ly is one of the data visualization tools on the market, renowned for its impressive distribution network that illustrates project outcomes. Employing a dedicated creative team for data visualization services, Visual.ly streamlines the process of data import and outsource, even to third parties.
The Pros of Visual.ly:
- Top-class output quality
- Easy to produce superb graphics
- Several link opportunities
The Cons of Visual.ly:
- Few embedding options
- Showcases one point, not multiple points
- Limited scope
RAW, better-known as RawGraphs, works with delimited data such as TSV file or CSV file. It serves as a link between data visualization and spreadsheets. Featuring a range of non-conventional and conventional layouts, RawGraphs provides robust data security even though it is a web-based application.
The Pros of RAW:
- Simple interface
- Super-fast visual feedback
- Offers a high-level platform for arranging, keeping, and reading user data
- Easy-to-use mapping feature
- Superb readability for visual graphics
- Excellent scalability option
The Cons of RAW:
- Non-availability of log scales
- Not user intuitive
8. IBM Watson
Named after IBM founder Thomas J. Watson, this high-caliber data visualization tool uses analytical components and artificial intelligence to detect insights and patterns from both unstructured and structured data. Leveraging NLP (Natural Language Processing), IBM Watson's intelligent, self-service visualization tool guides users through the entire insight discovery operation.
The Pros of IBM Watson:
- NLP capabilities
- Offers accessibility from multiple devices
- Predictive analytics
- Self-service dashboards
The Cons of IBM Watson:
- Customer support needs improvement
- High-cost maintenance
Regarded as one of the most agile data visualization tools, Sisense gives users access to instant data analytics anywhere, at any time. The best-in-class visualization tool can identify key data patterns and summarize statistics to help decision-makers make data-driven decisions.
The Pros of Sisense:
- Ideal for mission-critical projects involving massive datasets
- Reliable interface
- High-class customer support
- Quick upgrades
- Flexibility of seamless customization
The Cons of Sisense:
- Developing and maintaining analytic cubes can be challenging
- Does not support time formats
- Limited visualization versions
An open-source data visualization tool, Plotly offers full integration with analytics-centric programming languages like Matlab, Python, and R, which enables complex visualizations. Widely used for collaborative work, disseminating, modifying, creating, and sharing interactive, graphical data, Plotly supports both on-premise installation and cloud deployment.
The Pros of Plotly:
- Allows online editing of charts
- High-quality image export
- Highly interactive interface
- Server hosting facilitates easy sharing
The Cons of Plotly:
- Speed is a concern at times
- Free version has multiple limitations
- Various screen-flashings create confusion and distraction
11. Data Wrapper
Data Wrapper is one of the very few data visualization tools on the market that is available for free. It is popular among media enterprises because of its inherent ability to quickly create charts and present graphical statistics on Big Data. Featuring a simple and intuitive interface, Data Wrapper allows users to create maps and charts that they can easily embed into reports.
The Pros of Data Wrapper:
- Does not require installation for chart creation
- Ideal for beginners
- Free to use
The Cons of Data Wrapper:
- Building complex charts like Sankey is a problem
- Security is an issue as it is an open-source tool
The Pros of Highcharts:
- State-of-the-art customization options
- Visually appealing graphics
- Multiple chart layouts
- Simple and flexible
The Cons of Highcharts:
- Not ideal for small organizations
The Pros of Fusioncharts:
- Customized for specific implementations
- Outstanding helpdesk support
- Active community
The Cons of Fusioncharts:
- An expensive data visualization solution
- Complex set-up
- Old-fashioned interface
14. Power BI
Power BI, Microsoft's easy-to-use data visualization tool, is available for both on-premise installation and deployment on the cloud infrastructure. Power BI is one of the most complete data visualization tools that supports a myriad of backend databases, including Teradata, Salesforce, PostgreSQL, Oracle, Google Analytics, Github, Adobe Analytics, Azure, SQL Server, and Excel. The enterprise-level tool creates stunning visualizations and delivers real-time insights for fast decision-making.
The Pros of Power BI:
- No requirement for specialized tech support
- Easily integrates with existing applications
- Personalized, rich dashboard
- High-grade security
- No speed or memory constraints
- Compatible with Microsoft products
The Cons of Power BI:
- Cannot work with varied, multiple datasets
A major player in the data visualization market, Qlikview provides solutions to over 40,000 clients in 100 countries. Qlikview's data visualization tool, besides enabling accelerated, customized visualizations, also incorporates a range of solid features, including analytics, enterprise reporting, and Business Intelligence capabilities.
The Pros of QlikView:
- User-friendly interface
- Appealing, colorful visualizations
- Trouble-free maintenance
- A cost-effective solution
The Cons of QlikView:
- RAM limitations
- Poor customer support
- Does not include the 'drag and drop' feature
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