Key Findings
The India sports analytics market growth is anticipated to progress at a CAGR of 24.06% during the forecast period, 2024-2032. The market growth is accredited to the increasing emphasis on data-driven decision-making in sports organizations.

Market Insights
The integration of advanced technologies such as artificial intelligence, machine learning, and IoT devices is becoming increasingly prevalent in sports analytics applications. This trend is enhancing the granularity and accuracy of data analysis in areas such as player performance, injury prevention, and strategic decision-making.
Whereas analytics is being used to enhance the fan experience by providing insights into game dynamics, predicting outcomes, and creating interactive experiences for viewers. For instance, fantasy sports platforms use analytics to provide fans with player statistics, performance predictions, and interactive elements to engage users. Platforms like Dream11 leverage sports analytics to help users build fantasy teams based on player performance data.
With regard to football analytics, GPS and tracking technology help monitor players’ movements on the field, providing insights into positioning, speed, and work rate. Teams use data to analyze opponents’ playing styles and strategize accordingly. While in Kabaddi analytics, understanding player movement patterns on the kabaddi mat to optimize strategies during matches. Monitoring player workload and physical condition to prevent injuries.

Competitive Insights
IBM Corporation and HCL Technologies are among the leading companies in the market.
Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation cater to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments