Abstract

The valuation of intangible assets has become increasingly critical in the digital economy, where assets such as intellectual property, brand reputation, and customer data drive business value. This study proposes a conceptual advancement in financial analysis models to effectively value intangible assets, addressing the complexities and challenges presented by the digital transformation of business environments. Traditional valuation methods, often based on tangible asset assessments, fail to capture the full economic potential of intangible assets, which are non-physical but contribute significantly to a company's competitive advantage and market position. The study introduces an integrated framework combining financial modeling techniques with digital economy-specific metrics, such as data analytics, brand equity, and intellectual capital. This framework incorporates emerging methodologies, including machine learning and big data analysis, to quantify intangible asset value and predict its future contributions. The research emphasizes the importance of incorporating both financial and non-financial data to create more comprehensive valuation models, accounting for the dynamic nature of digital assets and the rapidly changing market conditions. Key components of the proposed model include a multidimensional approach to assessing intellectual property rights, customer relationships, and digital platforms. By utilizing advanced statistical methods and data-driven insights, businesses can better estimate the value of intangible assets, enabling more informed decision-making in mergers, acquisitions, and financial reporting. Furthermore, the model accounts for the role of regulatory frameworks, such as digital rights management, and integrates sustainability considerations in valuing digital assets. The findings underscore the need for updated financial analysis practices that reflect the growing importance of intangible assets in the digital economy. This study contributes to bridging the gap between traditional financial models and the evolving digital landscape, offering a forward-looking approach to valuing intangibles and ensuring accurate financial assessments.