Compare the Top Data Visualization Apps for iPhone as of October 2025

What are Data Visualization Apps for iPhone?

Data visualization software helps converting numeric and textual data into visual tools and performance dashboards in order to identify and analyze possible patterns. Compare and read user reviews of the best Data Visualization apps for iPhone currently available using the table below. This list is updated regularly.

  • 1
    Heap

    Heap

    Contentsquare

    Heap is a comprehensive digital insights platform that provides businesses with a complete understanding of their customers’ journeys. By automatically capturing all user interactions across web and mobile platforms, Heap offers actionable insights to optimize conversion, retention, and user experience. The platform uses advanced data science to identify moments of friction and opportunity, allowing businesses to make data-driven decisions quickly. With powerful tools like session replay, heatmaps, and AI-powered insights, Heap enables businesses to understand and improve user behavior at every touchpoint.
    Starting Price: $500.00/year
  • 2
    Sisense

    Sisense

    Sisense

    Embed analytics into any application or workflow to make critical decisions – with confidence. Infuse analytics into everyday applications and workflows to drive better, faster decisions, for your business and your customers. Integrate customized analytics into your applications and products to make analytics intuitive and user-friendly. Boost product engagement, adoption, and retention with the AI-driven predictive analytics platform built for business success. Prepare, analyze, and explore data from multiple sources with Sisense, a leading Business Intelligence (BI) reporting software. Trusted by industry-leading companies, such as NASDAQ, Phillips, and Airbus, Sisense offers an end-to-end, agile BI platform that helps business make smarter, faster data-driven decisions. Sisense features an open, single-stack architecture, best-in-class analytics engine, machine learning, and delivery of insights beyond the dashboard.
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