Sponsored by Tripo AI.

Best 588 Data analysis Tools in 2025

FPL Optimization AI, Julius AI, OGBRAIN.AI, xyzt.ai, Music Tomorrow, ANDRE, Select Star, LinkedIn Lead Extractor, NeoAnalyst.ai, Fusion Analyzer are the best paid / free Data analysis tools.

What is Data analysis?

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It involves applying statistical and logical techniques to derive insights from data collected from various sources. Data analysis is a crucial component of many fields, including business, science, and social science, and is increasingly important in today's data-driven world.

What is the top 10 AI tools for Data analysis?

Core Features
Price
How to use

Claude

Natural language interaction for task assistance

You can talk to Claude, an AI assistant from Anthropic, and instruct it in natural language to help you with many tasks.

DataCamp

Interactive courses and coding challenges
Skill and career tracks
DataCamp Workspace for data analysis
Skill assessments
Certifications

Basic Free Every first chapter free, Free professional profile and job board access
Premium $14/month billed annually Access our full content library, Projects, certificates and industry-leading certifications, Go from zero to job ready, Our top Python, SQL, Tableau, Power BI and R programs, More ways to learn to code
Teams $14 per user /month billed annually Everything in Premium plus: Manage your group, View learning activity and track progress, License management tools

Users can sign up for a free or paid account, choose courses or skill tracks based on their interests and skill level, and complete interactive exercises, coding challenges, and projects directly in their browser. The platform tracks progress and offers certifications upon completion.

Glean

Work AI Platform
Glean Assistant (AI assistant)
Glean Agents (AI agent builder)
Glean Search (Enterprise search)
Connectors (Data integration)
Data & AI Governance
Security

Glean connects to your company's data sources, allowing you to search for information, create content, and automate workflows using AI. You can access Glean through various integrations like Slack, Microsoft Teams, and browser extensions.

Julius AI

AI Data Analysis
Charts & Graphs Generation
Data Manipulation
Insights Generation
Data Science (Modeling and Predictive Forecasting)
Report Generation

Upload your data file (CSV, XLSX, PDF), ask questions about the data, and Julius AI will analyze the data and provide results in charts, tables, or reports.

Roboflow

Automated annotation tools
Hosted model training infrastructure
Low-code interface for building pipelines
Deployment solutions for edge and cloud
Data curation and analytics
Model evaluation and monitoring

Public Free For open source
Basic $49/month ($65/month billed monthly) For small teams
Growth $299/month ($399/month billed monthly) For startups
Enterprise Custom Pricing For organizations

To use Roboflow, start by creating an account and uploading your image or video data. Use the platform's annotation tools to label your data, then train a computer vision model using Roboflow's hosted infrastructure. Finally, deploy your model to the edge, in your VPC, or via API.

Recruit CRM

Applicant Tracking System (ATS)
Client Relationship Management (CRM)
Workflow Automation
AI Features & GPT Integration
Job Multiposting and Advertising
LinkedIn Messaging Integration
Advanced Analytics
Career Page and Candidate Portal Builder

Pro Contact for Pricing For growing recruitment agencies
Business Contact for Pricing For mid-sized recruitment agencies
Enterprise Contact for Pricing For large recruitment agencies

Recruit CRM can be used to manage clients, candidates, opportunities, and follow-ups. It helps automate repetitive tasks, streamline hiring workflows, and improve communication through features like email scheduling, sales flow visualization, and candidate marketing. Users can also generate and track invoices within the system.

HypeAuditor

Influencer Discovery
Influencer Analytics
Campaign Management
Market Analysis
Competitor Analysis
Media Plans

Users can start by checking any influencer to analyze their audience, performance, and potential fraud issues. The platform also allows users to discover influencers based on various parameters, manage campaigns, and explore market trends.

PhantomBuster

Lead generation from major networks and websites
Data enrichment with contact information and emails
Automated outreach campaigns with personalized messages
Integration with popular CRM tools like Salesforce, HubSpot, and Pipedrive
Code-free automation with pre-built Phantoms and Flows
Lead organization in a streamlined dashboard

Free $0 Limited usage
Starter $59/month Includes a certain amount of execution time and Phantom slots
Pro Varies Higher usage limits and additional features
Team Varies Designed for teams with larger automation needs

Users can select from a library of Phantoms and Flows to automate specific tasks, such as scraping LinkedIn profiles, finding professional email addresses, or sending personalized connection requests. These automations can be scheduled to run automatically, and the extracted data can be exported to spreadsheets or integrated with CRM systems.

AInvest

AI-powered stock analysis
Real-time market news
Predictive tools
Stock screener
Expert picks
Trend tracking
Portfolio management

Users can access AInvest's tools by signing up for a free account. They can then use the AI stock screener, analyze stock quotes and news, follow expert picks, track market trends, and manage their investment portfolio.

MacroMicro

Dynamic Charts
Economic Data Consolidation
Fundamental Analysis Tools
Community Insights

MM Prime TWD 6,500/year Professional Investment Tools
MM Max Prime Annual Exclusive The Premier Subscription
MM Business TWD 150,000/year Empower Your Team to Master the Latest Trends
API Essential TWD 150,000/year Streamline Your Data Services with Effortless API Integration
Custom Solutions Custom Plan Craft Tailored Solutions to Achieve Your Business Goals

Users can explore various economic indicators, create custom charts, access exclusive reports, and engage with a community of macroeconomic professionals. The platform offers tools for series analysis, backtesting, and visualizing data to develop investment strategies.

Newest Data analysis AI Websites

Plugin for crypto exchange/project evaluation.
Free product selection tool for Temu merchants.
Chrome extension for capturing product info and creating videos.

Data analysis Core Features

Data cleaning and preparation

Exploratory data analysis

Statistical analysis

Data visualization

Machine learning and predictive modeling

What is Data analysis can do?

Retail: Analyzing customer purchase data to optimize product placement and pricing strategies.

Finance: Detecting fraudulent transactions and assessing credit risk using historical data.

Healthcare: Identifying factors contributing to patient outcomes and developing personalized treatment plans.

Manufacturing: Optimizing production processes and predicting equipment failures using sensor data.

Data analysis Review

User reviews of data analysis tools and techniques are generally positive, with many praising the ability to derive actionable insights from complex datasets. However, some users note that the learning curve can be steep, particularly for those without a strong background in statistics or programming. Others highlight the importance of data quality and the need for robust data governance practices to ensure the reliability of analysis results.

Who is suitable to use Data analysis?

A marketing analyst uses data analysis to identify the most effective channels for customer acquisition and retention.

A financial analyst applies data analysis techniques to detect fraudulent transactions and minimize financial risks.

A healthcare researcher employs data analysis to identify factors contributing to patient readmission rates and develop interventions to improve patient outcomes.

How does Data analysis work?

To perform data analysis, follow these general steps: 1) Define the question or problem you want to address. 2) Collect relevant data from various sources, such as databases, surveys, or experiments. 3) Clean and preprocess the data, handling missing values, outliers, and inconsistencies. 4) Explore the data using statistical methods and data visualization techniques to identify patterns, trends, and relationships. 5) Apply appropriate statistical tests or machine learning algorithms to draw conclusions or make predictions. 6) Interpret the results and communicate the findings to stakeholders using clear visualizations and reports.

Advantages of Data analysis

Improved decision-making based on data-driven insights

Identification of trends, patterns, and relationships in data

Better understanding of customer behavior and preferences

Optimization of processes and resource allocation

Enhanced risk management and fraud detection

FAQ about Data analysis

What skills are required for data analysis?
What are the main types of data analysis?
How is data analysis different from data science?
What are some common data analysis techniques?
What are the challenges in data analysis?
How can data analysis benefit businesses?