Animal husbandry is crucial sector in ensuring food and nutritional security, public health, and economic stability. In recent decades, technological innovations have revolutionized veterinary medicine and livestock management, providing advanced tools for disease detection, monitoring, and prevention. However, these advancements also bring challenges, including affordability, ethical considerations, and regulatory complexities. Moreover, climate change and the increasing prevalence of trans-boundary animal diseases (TADs) add another layer of complexity to animal health management. Given these factors, the integration of advanced technology is essential for managing animal health in a rapidly changing world. Impact of Climate Change and TADs on Animal Health Climate Change and Emerging Disease Risks: Climate change has exacerbated disease outbreaks in livestock by altering vector populations, modifying pathogen distribution, and increasing heat stress in animals. The IPCC report warns that rising temperatures and extreme weather events could intensify disease transmission rates, necessitating climateadaptive strategies in animal health management. The Growing Threat of TADs: TADs such as FMD, ASF, and Avian Influenza continue to pose major threats to global livestock production. India, in particular, has witnessed recurring outbreaks of these diseases, leading to mass culling, economic losses, and trade restrictions. Efforts to control TADs require international collaboration, digital disease surveillance systems, and coordinated vaccination programs. Blockchain technology and AI-driven disease modelling can enhance response strategies and improve outbreak prediction capabilities. Challenges in Animal Health The integration of advanced technologies in animal health faces significant challenges, including high implementation costs and economic barriers. Initial investments in Artificial Intelligence and Machine Learning (AI/ML), Internet of Things (IoT), genomic selection and genetic engineering are substantial, making these technologies inaccessible to smallscale farmers and clinics in developing regions. Ongoing maintenance and software upgrades add to the financial burden, limiting widespread adoption. Data security and ethical concerns also pose hurdles, with vast amounts of data generated by IoT and blockchain raising issues about secure storage and ethical use. Ethical debates around genetic modifications and AI-driven management further complicate public acceptance. Regulatory compliances involve complex and timeconsuming approval processes, vary by country, complicating global adoption and adding administrative burdens. Climate change exacerbates these challenges by altering disease patterns and necessitating adaptive strategies, while the need for environmental sustainability requires efficient resource management and reduced carbon footprints. Addressing these challenges is essential for the successful integration of advanced technologies in animal health.