10 Best Data Visualization Tools for Marketers in 2025

Interpreting large datasets can be overwhelming. That’s why the savviest marketers turn to technology for support. The right data visualization tools simplify the process and transform complex, raw data into actionable insights.

These tools empower you to create engaging visuals like charts, graphs, and dashboards, making data more accessible and meaningful. With these visuals, you can fine-tune campaigns, discover new opportunities, and deliver highly personalized customer experiences—all with greater efficiency and impact.

Whether tracking the ROI of multi-channel campaigns or analyzing customer behavior, data visualization tools provide the clarity and agility needed to maintain a competitive edge. AI and real-time analytics offer unparalleled usability and insights, making data visualization a must-have for the future of marketing analytics.

What are data visualization tools?

Data visualization tools are software solutions that present data using graphics, such as charts, models, maps, and infographics. These visuals simplify complex information making it easier for marketers to discover patterns, trends, and key findings that propel their business forward.

Marketers often use data visualization tools to communicate with stakeholders and improve decision-making. These tools offer increased efficiency, enhanced targeting, and a clear demonstration of ROI.

Here are some key features of today’s best data visualization tools for marketers:

• Intuitive interface: The latest data visualization tools are user-friendly and intuitive. No longer used by data scientists alone, they’re easy for marketers to learn and apply in their day-to-day tasks.
• Dashboard creation: New tools allow marketers to create interactive dashboards where users can observe and analyze multiple data points simultaneously.
• Customization: Many data visualization tools make it easy to customize charts, designs, and colors depending on the user’s needs.
• Integration options: Top tools conveniently connect with many data sources, making it easy to upload various data sets and create a single source of truth.

Good visualization tools help marketers sort and organize data and then extract the most important information. They foster internal alignment, increase collaboration, and enhance campaign performance through the power of digestible data.

Why a data visualization tool is essential for marketers in 2025

In business, data drives decision-making, innovation, and progress across all industries. It’s the foundation for understanding marketing trends, predicting outcomes, and enhancing customer experience.

Yet interpreting and applying data isn’t always easy. For the average marketer, numbers in a spreadsheet don’t tell much of a compelling story. On the other hand, colors, shapes, and visuals help marketers to easily spot trends, identify outliers, and understand themes. This approach is not only more memorable but also more effective and interactive than sifting through endless rows of data.

Here’s why data visualization tools are essential for marketers in 2025:

Enhanced understanding of data

Data visualization tools convert large, raw data sets into more engaging and easier to understand formats, such as tables, plots, charts, and dashboards. This helps you to see and understand the most valuable data better while eliminating distractions and reducing the time spent sifting through numbers. By simplifying the process, you can make faster, more informed decisions.

Improved decision-making

Clear, interactive visuals help you identify important patterns, trends, and anomalies in your data. You can make evidence-based decisions rather than acting on intuition alone. Data plays an especially key role in making decisions related to ad spend, helping optimize results, minimize guesswork, and reduce costs.

Increased efficiency

Data visualization tools automate data analysis and reporting, dramatically reducing the time and effort you spend organizing and interpreting raw data. With these tools, you can quickly reveal insights and dedicate more time to campaign strategy, creative content creation, or new market opportunities.

Streamlined communication and collaboration

Visualizations help eliminate departmental silos and enhance communication across teams. Transforming data into easy-to-understand graphics bridges the gap between data analysts, marketers, and executives. When all stakeholders have a clear picture of the data, it fosters teamwork, collaboration, and faster, smarter decision-making.

What to look for in a data visualization tool for marketing

The right data visualization tool is crucial for unlocking the full potential of data, but the ideal solution varies depending on the unique needs of your business. Budget and business maturity should certainly factor into the decision, along with other key considerations:

User-friendly interface

A data visualization tool should be easy to learn and use without requiring extensive training or a technical background. An intuitive, user-friendly design ensures you can quickly create, analyze, and interpret visuals. For example, drag-and-drop features, templates, and one-click capabilities all help increase efficiency and enhance data exploration.

Ability to handle large data sets

Growing businesses must manage growing volumes of data. The best data visualization tools support this need by offering high-capacity processing without compromising speed or performance.

Customization options

Every marketing team has its own unique strategy and goals. Data visualization tools should reflect this diversity with plenty of customization options for charts, dashboards, reports, and more. You should be able to add filters, tailor visuals with business metrics, change dimensions, and share custom views with ease.

Scalability

Scalable tools grow with the business, accommodating increased data volumes, expanding teams, and new market strategies. The best data visualization solutions are agile and adaptable, providing long-term flexibility for evolving needs.

Integration options

The best data visualization tools offer seamless integration across applications, allowing you to move data in efficient and cost-effective ways. Better yet, they allow you to build low-code apps that further improve operational processes and enhance data sharing business-wide.

Pricing

Pricing for data visualization tools varies widely, ranging from free to hundreds of dollars per month. Free tools offer limited functionality and are best for very basic visualization needs, while paid tools are typically more robust. Solutions like Tableau start at $70 per user per month, while other tools like Domo and Looker Studio provide custom pricing based on use.

10 best data visualization tools for marketers in 2025

With so many options available, finding the ideal data visualization tool might feel daunting. Some tools are known for being affordable or user-friendly, while others are best for integrating real-time data or handling large amounts of data.

Take a look at our roundup to discover the best data visualization for 2025.

1. Domo

Domo helps marketing teams quickly build live visualizations with more than 150 chart types. You can create curated data stories, share custom dashboard views, and make a measurable business impact by showing what the data is saying—and what to do about it.

Key Features

AI-powered insights: Ask questions using natural language and get timely alerts when data changes.
Mobile app: Toggle between desktop and mobile and access and collaborate from anywhere.
Embedded analytics: Securely share data and insights outside the organization.
Custom app building: Go beyond displaying data and let users take action.

2. Looker Studio

Powered by Google Cloud, Looker Studio helps you leverage data by pulling from more than 600 partner connectors, no coding or software required. Teams can share data stories by collaborating in real time or embedding reports on the web.

Key Features

• Looker Studio API: Google Workspace or Cloud Identity organizations can easily automate the management and migration of Looker Studio assets.
• Report embedding: Include Looker Studio reports on any web page or intranet.
• Data connectors: Connect reports to underlying data using unique, pre-built connectors.
• Templates: Apply a library of report templates to visualize data quickly.

3. Tableau

Tableau by Salesforce is known for fast analytics and drag-and-drop reporting. The AI-powered analytics platform has built-in data governance, security, and compliance and offers personalized metrics with Tableau Pulse.

Key Features

• Pre-built dashboards: Tableau Accelerators offer read-to-use dashboards that can be customized for unique use cases.
• Data stories: Add automated plain-language explanations to your dashboards to streamline workflow.
• Workbook optimizer: Compare design characteristics, then compare them to best practices to see how workbook design affects performance.

4. Power BI

Microsoft’s answer to data visualization, Power BI is used for enterprise-grade data ingestion and semantic modeling. It can scale across thousands of users and allows for easily embedding and sharing reports in other Microsoft services, such as Teams, PowerPoint, and Excel.

Key Features

• AI features: Find patterns in data, create reports, and discover answers with AI-powered analytics.
• Microsoft training courses: Get guidance and explore capabilities with additional training courses from Microsoft.
• OneLake data hubs: Create a single source of truth by adding data sets from any source to the OneLake data hub.
• Microsoft Fabric integration: Allow users without paid licenses to interact with reports and access other Fabric workloads.

5. Qlik

Qlik combines AI and machine learning to provide data integration, data quality, and analytics services. Designed for diverse sources and targets, it automates data visualization for cloud, hybrid, and on-premise environments.

Key Features

• Automated transformation: Compose no-code data models and get automated, continuous refinement.
• Data sources and connectors: Connect and combine data from hundreds of applications, including AWS, MySQL, Oracle, Azure, and more.
• Customized visualization: Create gridless layouts, stacked elements, or on-brand color schemes.

6. ThoughtSpot

ThoughtSpot uses natural language processing to help you curate data stories, contextualize experiences, and share data models with groups. From high-level analytics to granular details, it offers automatic and interactive visualizations for marketers of all levels.

Key Features

• Liveboards: Create personalized, interactive visuals based on cloud data.
• Intelligent query generation: Search across complex schemas by asking simple questions.
• Advanced chart configurations: Pick from dozens of chart types, add labels, and customize visuals to suit brand needs.
• Collaboration tools: Get one-click sharing of charts and other visuals with any group or users in the company.

7. Plotly

This low-code visualization tool gives a point-and-click interface to models written in Python. When combined with Dash Enterprise, Plotly allows you to build apps and expand data visualization to new levels.

Key Features

• Plotly app studio: Use existing Python scripts and notebooks to create Dash apps.
• Report engine: Share and save Dash app views as links or PDFs.
• Key Features Use drag and drop layouts, chart editing, and crossfilter for Dash apps.

8. Sisense

Sisense is an API-first analytics platform that accelerates, automates, and simplifies data pipelines for marketers. This no-code solution allows users to embed, integrate, and incorporate analytics into custom apps and front-end experiences.

Key Features

• Data connectivity: Connect with more than 400 connectors and consolidate within Sisense or maintain live connections with the data warehouse.
• Embedded analytics: Display data visuals within products and applications, from simple iFrames to Embed SDK.
• Generative AI: Increase efficiency with AI that assists in data modeling, exploration, and understanding.
• Security certificates: Ensure security and privacy thanks to a suite of certifications, including SOC 2 Type II, ISO 27001, and ISO 27701.

9. Zoho

This all-in-one marketing analytics software tracks key metrics, provides visualizations, and offers insights from Google Analytics, Google Search Console, Semrush, and more. It includes more than 50 visualization options, such as widgets, summaries, and tabular views.

Key Features

• Conversational assistant: Converse with Ask Zia, a multilingual bot, for help creating visuals and unveiling new insights.
• Geo visualization: Analyze geographical data using interactive map charts to measure key metrics across geo-locations.
• Guided insights: Get contextual information in the form of digestible narratives with Zia Insights.

10. RAWGraphs

A free and open-source tool for data visualization, RAWGraphs is well-suited for small marketing teams on a budget. You can choose from nearly 30 templates or make custom charts using the RAWGraphs app.

Key Features

• Security: Data is only processed by the user’s web browser, enhancing security of the web app.
• Export and share: Save projects or export as a vector or raster image, then edit within other software.
• Customization: Select from custom charts, such as paired bar charts or comparison charts.

Data visualization tools simplify the process of organizing and interpreting complex data sets, enabling marketers to save time and make better decisions. The right tool helps foster collaboration, stronger communication, and optimized marketing strategies.

Ready to discover how data visualization can help your organization? Experience Domo today with a 30-day free trial.