As the demographic composition of the globe continues to skew increasingly towards older age groups, retirement planning has emerged as a critical aspect of financial management. Within this discipline, Fee Only Retirement Planners (FORP) occupy a unique niche. Unlike their commission-based counterparts, FORPs operate on a fixed-fee arrangement, thus eliminating potential conflicts of interest and ensuring transparency in the advisory process.

Exploring the genesis and evolution of FORPs, one must comprehend the inherent nuances of free market economics. Traditionally, retirement planners earned commissions from financial products they sold to clients. However, a Harvard study in 2012 revealed a discernible bias towards high-commission products, even when those products were not in the best interest of clients. This revelation catalyzed the advent of FORPs, the remuneration of whom is not linked to specific financial products, thus realigning their interests with those of their clients.

The imminent future of FORPs can be unraveled through an analytical framework, merging elements from statistical projections, behavioral economics, and nascent technological trends.

Statistical data indicates a growing acceptance of FORPs, with the market share projected to rise from the current 15% to 25% by 2030. The reasons behind this exponential growth can be traced back to the principles of behavioral economics. Daniel Kahneman, a Nobel laureate in Economic Sciences, expounded on the theory of 'loss aversion' - people's tendency to prefer avoiding losses over acquiring equivalent gains. Applying this principle to retirement planning, clients are increasingly opting for fee-based services to avoid potential losses from commission-driven advice, even if it means incurring an upfront cost.

Emerging technological trends are anticipated to further disrupt the FORP landscape. Virtual Reality (VR) and Artificial Intelligence (AI) are two vanguards of this revolution. VR can facilitate immersive experiences, allowing clients to visualize various financial scenarios in their retirement years, thereby fostering informed decision-making. AI, on the other hand, can leverage Machine Learning algorithms to predict market trends with greater accuracy and provide personalized advice to each client based on their unique financial goals and risk tolerance.

However, these technologies are not without their trade-offs. While VR and AI can potentially enhance the quality of advice, they are likely to make the advisory process impersonal, a concern given the intricacies and emotional quotient associated with retirement planning. There is also the looming threat of job displacement, with AI increasingly automating tasks traditionally performed by retirement planners.

Amid these advancements, the ethical dimensions of FORPs will garner greater attention. Given the potential for misuse of technologies, a strong regulatory framework will be imperative to protect client interests and instill trust in FORPs. This could mirror the approach taken by the European Union in its General Data Protection Regulation (GDPR), ensuring data privacy and transparency in AI-based decision-making processes.

In conclusion, the future of FORPs, whilst promising, is fraught with challenges and uncertainties. As the landscape evolves, FORPs must adapt to emerging trends, balancing the benefits of technological advancements with ethical considerations and the human touch. These dynamics make the study of FORPs a fascinating enigma, a confluence of economics, technology, and ethics – a testament to the complexity and dynamism of the financial planning industry.