This analysis highlights advancements such as prime editing, base editing, bridge RNA, SeekRNA, and gene writing platforms, as it examines the emerging field of next-generation gene editing technologies beyond CRISPR/Cas systems. These tools are revolutionary for therapeutic development, precision medicine, and functional genomics because they provide increased editing capabilities, decreased off-target effects, and improved precision. To improve accuracy and efficiency in genome engineering, the study highlights the use of artificial intelligence (AI) and machine learning for guide RNA optimization, off-target prediction, and scalable clinical translation.

• What are the key stakeholders in the collaborative innovation ecosystem that provide AI-driven editing solutions?
• How can you evaluate commercialization readiness, global funding megatrends, investment patterns, and regulatory environments to achieve growth?
• Which disruptive tools are changing the future of genetic medicine and biotechnology, and paving the way for new growth prospects and strategic partnerships?