Medicinal plants have been utilized to treat human health issues for hundreds of years. Presently, much of the pharmaceutical industry depends on traditional agriculture practices and growing techniques to produce medicinal plants. This strategy is primarily constrained by its significant reliance on seasonal variations and chemical inclusions resulting in incompatible biochemical composition. The obstacles indicate that traditional agriculture practices may be inadequate to meet the future demands for medicinal plants globally. Consequently, new, and sustainable production methods are requisite. Vertical farming (VF) technology is now recognized as a viable option, facilitating enhanced production of medicinally significant plants at both local and economic levels. In VF growers can precisely regulate environmental factors important to plant growth, including lighting quality and wavelength, temperature, humidity, and nutrient media. By maximizing these attributes, VF systems facilitate year-round production, enhance plant quality, eradicate the necessity for chemical pesticides, and boost the efficiency of water and nutrient utilization. Recent breakthroughs in artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and computer vision technologies inside VF systems improve precision, automation, and early disease and yield forecasting, hence offering greater control in this high-tech technique. These strengths highlight the importance of VF in overcoming the limitations of traditional approaches and enhancing medicinal plant productivity. This chapter explores the potential of VF systems to enhance plant growth and evaluates the performance of different medicinal plant production. Furthermore, the book chapter emphasizes contemporary advancements in VF through computer technology, which enhances control and automation, hence accelerating plant development compared to traditional growing methods.