Abstract :

The Rapid Evolution Of Cryptocurrencies Has Sparked Global Interest In Their Long-term Potential As Financial Assets, Technological Infrastructure, And Socio-economic Disruptors. While Short-term Price Volatility Has Dominated Market Attention, The Need For Robust Longterm Forecasting Is Growing Increasingly Critical — Especially For Institutional Investors, Policymakers, And Researchers Seeking Strategic Insights. This Paper Explores Long-term Market Behaviour And Adoption Trends In The Cryptocurrency Space Through A Multidisciplinary Approach Combining Historical Trend Analysis, Macroeconomic Factors, And Adoption Theory. We Evaluate The Effectiveness Of Various Forecasting Models — Including Econometric Frameworks, Machine Learning Techniques, And Scenario-based Simulations — To Project Future Patterns In Valuation, Usage, And Regulatory Integration. The Findings Aim To Provide A Grounded Perspective On The Future Trajectory Of Crypto Assets, Highlighting Both Opportunities And Structural Challenges That May Shape Their Role In The Global Economy Over The Next Decade. Keywords : Cryptocurrency Forecasting, Bitcoin Price Prediction, Time Series Analysis, Machine Learning Models, Blockchain Adoption, Long-Term Valuation, ARIMA & LSTM, Emerging Markets, Technology Acceptance Model (TAM), Market Volatility, Scenario Analysis, Digital Currency Regulation, Network Effects, Financial Innovation, Decentralized Finance (DeFi)

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

557-564

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite