Biopolymers form the structural and functional backbone of life, ranging from nucleic acids and proteins to cellulose, lignin, chitin, and others. Their complexity and diversity make them central not only to biological systems but also to agriculture, food technology, medicine, and materials science. Studying them, however, has always posed a challenge. Many traditional analytical techniques require destructive processing or chemical labeling, which can obscure the very properties researchers aim to measure. Raman imaging provides a powerful alternative. Capturing the vibrational fingerprints of molecular bonds, it enables non-invasive, label-free, and chemically specific visualization of biopolymers in their native environments. This chapter explores how Raman imaging has been applied across different classes of biopolymers. The technique’s unique ability to generate spatially resolved chemical maps makes it particularly valuable for understanding distribution, localization, and heterogeneity across the area of interest. We have also discussed the challenges, current limitations and future perspective of Raman imaging in biopolymer analysis. Weak scattering signals, interference from autofluorescence, and overlapping spectra can limit sensitivity and clarity, while high instrumentation costs have slowed wider adoption. Advances in enhanced Raman methods, machine learning, multimodal imaging, and portable instrumentation are beginning to address these obstacles. Taken together, Raman imaging is emerging as a versatile and transformative approach to biopolymer analysis. Its strength lies in connecting molecular-level insights providing knowledge that can advance both fundamental research and practical applications in sustainable materials, biotechnology, and health.