Most big data analytics projects fail due to various reasons such as poor planning, inadequate resources, lack of expertise, poor data quality, and inadequate infrastructure. In addition, poor communication and collaboration, unrealistic expectations, and unclear business goals can also contribute to the failure of big data analytics projects.