Out of many diseases in medical science one of the rigorous problems, the World is facing today is Brain Tumor. Brain Tumor is an uncontrollable cell proliferation in the brain. Tumor can be detected using medical imaging techniques like Magnetic Resonance Imaging (MRI), But drawback is it cannot detect below 3 mm size. Hence for accurate analysis of Brain tumor, Segmentation is one of the tools that are extensively used in Medical Science. Segmentation is one of the methods to partition an image into regions. Segmentation discriminates healthy tissues from affected tissues. This makes easier for quantative analysis, accurate disease diagnosis, detection and classification of Brain tumor. As already lot of tumor segmentation methods are available, still more research should take place in this area. The reason is these MRI image display complex characteristics like high diversity in appearance of tumor and unclear tumor boundaries. Hence judicious disease diagnosis with scientific proof is essential. So that early planning can be done to save the life of patient. To facilitate the researchers working in this field, a review on various Brain Tumor segmentation is presented. The study emphasises the greater confrontation we come across while tumor Segmentation on various methods in the literature, as well. It is trusted that the methodologies and experiments put forth in this study will be of great use for researchers working in this field. © 2018 IEEE.