Tourism is responsible for almost a 10% GDP in the world and every 1 in 10 in the world and when uncontrolled, tourism may put enormous pressure on the environment and host communities. This paper examines the application of IoT (Internet of Things) and Big Data Analytics to do so, thereby providing a basis in data that can be used on a long-term basis to make plans. Using real-time networks of IoT sensors, environmental degradation processes, and conservation practices were evaluated by the author based on air and water quality, noise levels, and biodiversity changes of the chosen tourist territories. In order to develop the measuring strategies, initial results have revealed an increase of 12–18% of the pollutant levels at peak tourist seasons, as well as a 9% decrease in the sighting of native species in ecologically sensitive areas. Economically, sustainable tourism has been proven to boost the local economy, as the average household income rose by 15 to 22% in destinations that have adopted green tourism policies. The surveys and sentiment analysis using social media and mobile apps showed that the majority of tourists said they are ready to pay an extra amount to get eco-friendly services, and claimed to have a better understanding of environmental concerns after touring sustainably managed sites. On a socio-cultural level, the qualitative data reveal shifting social conditions of the locals, acknowledging an enhanced experience with the cultural preservation practices as a result of tourism income flows. Some of them grumbled over the erosion of culture and overpopulation. The amenities of the structured interviews with the resort operators indicate that most hotels and resorts have utilized energy-efficient processes along with waste management systems, in addition to the fact that some have had an ongoing partnership with nearby craftsmen or environmental groups, which indicates that they can also expand their partnership. The study raises the issue of the potential of adopting environmental monitoring through IoT and Big Data analytics in the theories of responsible tourism. The study provides a paradigm that can be scaled due to the fact that the research captures the granular information under the three ecological, economic, and social dimensions, which the research provides an opportunity for policymakers, tourism authorities, and hospitality stakeholders to design interventions aimed at achieving their environmental preservation and development agenda.