Water resources globally face significant pollution from human activities, including industrial discharges, household waste, and agricultural runoff. This growing pollution has sensitive to effective wastewater treatment solutions. CWs utilize natural practices including vegetation, soils, and microbes. It is capable of treating various pollutants like metals, organic compounds, and nutrients. The wastewater contaminants become more complex; there is a growing need to boost the performance of CWs. This chapter explores the incorporation of developing technologies including nanotechnology, biotechnology, IoT, and AI to optimize these systems. These technologies have substantial potential to boost the efficiency of constructed wetlands by improving contaminant removal, enabling real-time monitoring, and automating system operations. Additionally, the chapter reviews the benefits of integrating these advanced tools, including improved water reuse and recycling potential, reduced energy consumption, and minimized greenhouse gas production. Despite these advantages, the implementation of these technologies also presents challenges such as cost, scalability, and technical complexities. This review highlights both the opportunities and limitations, offering insights into future directions for research and improvement in the field of wastewater treatment. The CWs method has been confirmed to be a highly effective and sustainable approach for reducing contaminated water pollution. Through connecting the natural processes of wetland ecosystems, CWs can efficiently eliminate a widespread range of pollutants from wastewater.