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Indian analytics firms help industries turn large data into faster business decisions
AI and cloud platforms drive real time insights across banking, retail, and healthcare
Demand for data professionals and analytics services is rising across global markets
India’s digital economy is growing at a fast pace. Every day, companies collect huge amounts of data from online platforms, machines, and customers. This data is used to understand markets, improve services, and make better business decisions. Big data analytics helps in sorting, studying, and using this information in a meaningful way. The demand for experts and analytics firms in India is expected to rise further.
TCS is one of the largest technology companies in India. It offers advanced data and analytics solutions to global clients. The company helps businesses use data to improve performance and plan for the future.
Works with banking, retail, healthcare, and manufacturing sectors
Uses artificial intelligence to study large data systems
Provides tools for real-time business analysis
Infosys helps companies handle and understand large amounts of data. It uses cloud technology and data analytics to make business work easier. Many global companies use Infosys data platforms to grow and improve their operations.
Strong in data engineering and automation
Supports companies shifting to digital systems
Wipro provides analytics services that help companies handle large volumes of data. It supports industries that require fast and accurate decision-making.
Builds data platforms for real-time insights
Works in healthcare, finance, and energy
Uses artificial intelligence for business improvement
HCLTech focuses on digital solutions and data management. It helps organizations design data systems and apply machine learning models.
Offers end-to-end analytics services
Supports global digital transformation
Zoho has grown from a software company into a strong analytics provider. Its data tools are used by businesses of different sizes. Zoho controls its own technology systems, which helps in maintaining data security.
Provides Zoho Analytics for reporting and forecasting
Connects data from cloud and on-premise sources
Supports data use inside business applications
Fractal Analytics is a leading company in artificial intelligence and advanced data analysis. It works with large global brands.
Focuses on machine learning and data modeling
Helps businesses improve customer experience
Works in retail and financial services
Mu Sigma follows a decision science approach to analytics. It supports companies in solving business problems using data.
Combines strategy with data analysis
Has strong presence in international markets
LatentView is known for customer and marketing analytics. It helps companies understand buying behavior and improve supply chains.
Provides predictive and visual data tools
Supports global business clients
Focuses on business results
Tiger Analytics works with advanced analytics and artificial intelligence. It helps companies manage data systems and use real-time insights.
Builds cloud-based data platforms
Develops machine learning models
The data analytics industry is now very important for both businesses and governments. These companies help organizations understand data and make better decisions. As digital work increases, these firms are expected to drive growth and shape how data analytics will develop by 2026.
1. What is big data analytics and why is it important for businesses?
It helps organizations study large data sets to improve decisions, efficiency, and market understanding.
2. Which industries in India use big data analytics the most today?
Banking, healthcare, retail, energy, and manufacturing rely heavily on data driven insights.
3. How does artificial intelligence improve data analytics services?
AI automates analysis, detects patterns, and provides faster and more accurate business insights.
4. Why are Indian analytics companies trusted by global businesses?
They offer cost effective solutions, skilled talent, and advanced technology platforms.
5. What skills are needed to build a career in data analytics?
Statistics, programming, data visualization, and machine learning knowledge are essential skills.
