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There are 12 Companies in Toronto
that provide Data Analysis Services!

Toronto is the leading tech hub in Canada with more than 640 registered IT companies that provide a wide range of software solutions for both internal and external markets. The high level of tech and IT education and log tech tradition made the city a global tech hub and new media development. 

Discover Top IT Companies in Toronto 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 Toronto

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 Toronto

We found 12 companies. Last updated in: August, 2025

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Tech Industry in Toronto: City Profile

Toronto is the leading tech hub in Canada with more than 640 registered IT companies that provide a wide range of software solutions for both internal and external markets. The high level of tech and IT education and log tech tradition made the city a global tech hub and new media development. 

By 2021, there are more than 90,000 IT professionals working in Toronto and delivering services to companies, corporations, and international institutions. The entire IT sector contributes to the local economy with more than $8B annually, and made the sector one of the best-paid in the region, and probably in the country. 

According to Toronto.ca, the job distribution in the city is as follows: More than half of the IT employees are engaged in delivering Computer System Designs and related services (60.2%). Almost a quarter work in the field of Telecommunications (21.2%).  The other jobs in the field are divided into the following sectors: Computer and Electronic Product Manufacturing (7%), Software Publishers (3%), Electronic and Precision Equipment Manufacturing (1.6%), and Internet Providers (1.5%). 

Toronto also hosts tech giants and international corporations that invest in the IT sector, providing jobs for skilled professionals. Companies such as Bell, Cisco, Alphabet, IBM, Microsoft, and Oracle are active in the IT field and are among the biggest players and creators of startup accelerator programs, incubators, partnership programs, and more. 

According to the Founders Institute research, the leading accelerators and incubator programs in Toronto are Creative Destruction Lab, EON Accelerator, Founder Institute Toronto, gBETA Toronto, Hatchery, and, Idea Boost. 

On average, the tech salary in Toronto is $100K/year (before taxes) which is around the average per area - $106K/year. Nonetheless, this is a good indicator for one of the leading tech hubs in North America. This makes not only Toronto a highly attractive city for IT investments, but also the entire region. 

All in all, Toronto continues to be one of the leading cities in tech and IT and has the potential to become a new entry in the top 5 North American tech cities. 

As of September 2021, there are 700+ registered and active IT companies from Toronto on TechBehemoths.

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.