Analysis of Patent Assertions using Computational Techniques

This research presents a comprehensive analysis of Indian patent assertions from 2016 to 2021, marked by significant technological and economic developments. The study uses advanced computational techniques to address the growing complexity and volume of patent data, which traditional analysis methods fail to manage effectively. The research aims to dissect the vast dataset of Indian patent claims, employing analytical methods including summary statistics, trend analysis, field comparison, correlation analysis, panel data analysis, and ANOVA to unveil nuanced insights into India’s innovation landscape dynamics. The findings reveal a discernible surge in patent filings, underscoring an evolving innovation ecosystem responsive to technological advancements and global trends. The trend analysis elucidates the shifts in technology focus, identifying sectors that exhibit rapid growth or decline in patent activities. Comparative analysis across different technology domains highlights India’s innovative strengths and areas needing attention, aligning with global innovation patterns. Correlation and panel data analyses offer a deeper understanding of the interplay between different sectors and temporal shifts in patent filings, unveiling the underlying factors driving these trends. The ANOVA results confirm the sector-specific dynamism in India’s patent landscape, indicating significant differences in claim numbers across fields. This study provides critical insights for policymakers, investors, and industry stakeholders, guiding strategic decision-making and policy formulation to foster a conducive environment for innovation. The robust methodological approach and comprehensive analysis underscore the study’s contribution to understanding and navigating the complexities of India’s IP ecosystem, offering a valuable resource for shaping future innovation strategies and enhanding India’s global innovation footprint.