This study aims to evaluate the balance of the online motorcycle taxi (ride-hailing) ecosystem involving drivers, platforms, and consumers within the context of the digital economy. The main issue addressed is the imbalance of relationships among actors caused by platform dominance, income uncertainty among drivers, and consumer pressure for low prices and high service quality. The study is grounded in the notion that digital business ecosystems are complex and require strategic approaches that integrate internal and external factors. The theoretical framework includes platform economy, gig economy, and SWOT analysis as a strategic evaluation tool. This research employs a qualitative descriptive approach using a literature study method, with data obtained from reputable academic journals, official reports, and relevant documents over the past ten years. Data analysis was conducted through data reduction, classification of internal and external factors, and the development of a SWOT matrix to formulate strategic recommendations. The findings indicate that the online motorcycle taxi ecosystem is not yet balanced, with strengths in work flexibility and technological efficiency, but weaknesses in driver welfare and dependence on platforms. Opportunities arising from digital economic growth have not fully offset threats such as algorithmic dominance and regulatory uncertainty. Therefore, integrated strategies are needed, including improving system transparency, strengthening driver capacity, and developing adaptive regulatory frameworks to achieve a more sustainable ecosystem.