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There are 16 Companies in New York
that provide Data Analysis Services!

New York City (NYC) is not Silicon Valley, but it’s one of the biggest tech hubs in the US. It was named Silicon Alley in the 1990s, having multiple tech companies operating in Manhattan.

Discover Top IT Companies in New York specialized in Data Analysis and other related services. Find the best IT service providers for your projects.

Data analysis services help businesses make sense of their data. They collect, clean, and analyze data to uncover valuable insights, patterns, and trends that can inform decision-making and strategy.

More than 644 verified and trusted IT companies specialize in providing data analysis services. These companies offer a range of expertise, from data scientists to data engineers. Notable IT companies in this field include IBM, Deloitte, and Accenture.

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Featured Companies in New York

This month, the following Data Analysis companies managed to provide an outstanding service and support. It's worth taking a look.

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Explore Top Data Analysis Companies in New York

We found 16 companies. Last updated in: July, 2025

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The Tech Industry in New York City: Overview

 

New York City (NYC) is not Silicon Valley, but it’s one of the biggest tech hubs in the US. It was named Silicon Alley in the 1990s, having multiple tech companies operating in Manhattan.

The Silicon Alley name didn’t stick, but NYC proved to be a thriving and emerging IT hub with high ambitions. NYC is also referenced as “The Big Apple”, “The Melting Pot”, “The Capital of the World” and has multiple nicknames due to its massive diversity. 

According to the Office of the New York State Comptroller, there are more than 10,000 IT companies in NYC, which represents a growth of over 34% over the past couple of years, and software publishing is one of the fastest growing tech subsectors.

In 2022, there were 110 unicorns (companies valued at more than $1B) in NYC, based on the research presented by CB Insights. This makes New York the 2nd biggest city in the US by the number of unicorns & tech startups, just behind San Francisco with 167 unicorns. 

Some of the leading tech companies like IBM, Etsy, Vimeo, Squarespace, Shutterstock, Bloomberg, etc, are headquartered in NYC.

VC (venture capital) firms invest heavily in NYC based tech startups. Venture funding in New York City boomed in recent years and reached tens of billions of investment to support IT companies from various industries like fintech, healthtech, security, AI, blockchain and more.

There are more than 1,260 IT companies from New York, registered on TechBehmoths. They provide multiple services ranging from branding, web design, advertising to software development, cloud consulting and application testing.

A vast majority of these companies have verified profiles with examples of their previous works, price ranges, client testimonials and technologies used.

Browse their profiles or use our powerful filter to choose the right service provider to work with. The service is free and there is no obligation to hire.

What is Data Analysis and what are its benefits for your projects?

Data analysis services help businesses make sense of their data. They collect, clean, and analyze data to uncover valuable insights, patterns, and trends that can inform decision-making and strategy.

More than 644 verified and trusted IT companies specialize in providing data analysis services. These companies offer a range of expertise, from data scientists to data engineers. Notable IT companies in this field include IBM, Deloitte, and Accenture.

Data analysis service providers use various tools and technologies to work with data effectively. Commonly used tools include statistical software like R and Python, data visualization tools like Tableau and Power BI, and big data platforms such as Hadoop and Spark. Cloud computing platforms like AWS and Azure are also popular for data storage and analysis.

Data analysis services are often part of a broader range of data-related services, including:

  • Data Visualization: Creating graphical representations of data for better understanding.

  • Business Intelligence: Developing dashboards and reporting systems for data-driven decision-making.

  • Predictive Analytics: Forecasting future trends and outcomes based on historical data.

  • Data Engineering: Building data pipelines and infrastructure for data storage and retrieval.

  • Machine Learning and AI: Leveraging advanced algorithms to automate data analysis and predictions.

Selecting the right IT company for data analysis services involves considering factors like the company's experience, domain expertise, client references, and the range of services they offer. Look for a company that aligns with your specific data analysis needs, whether it's for business intelligence, marketing, finance, or any other domain.

Data analysis service providers are essential for various projects, including:

  • Market Research: Analyzing customer behavior and market trends.

  • Financial Analysis: Assessing investment opportunities and managing risks.

  • Healthcare Analytics: Extracting insights from patient data for better healthcare outcomes.

  • Supply Chain Optimization: Improving logistics and inventory management.

  • Customer Insights: Understanding customer preferences and enhancing user experiences.

  • Fraud Detection: Identifying unusual patterns in financial transactions.

Most of the times, these services are valuable for companies across industries, including but not limited only to:

  • Retail: Analyzing sales data to optimize inventory and promotions.

  • Finance: Managing investments, risk assessment, and fraud detection.

  • Healthcare: Improving patient care, disease prediction, and drug discovery.

  • Marketing: Enhancing customer targeting and campaign effectiveness.

  • Manufacturing: Optimizing production processes and quality control.

  • Technology: Utilizing data for product development and user experience enhancement.

Data analysis services can provide valuable insights, but it's crucial to have clear objectives and questions you want to answer with the data. Communicate your goals clearly with the service provider to ensure that the analysis aligns with your needs. Data privacy and security should also be a top consideration when sharing sensitive data with a service provider.