The Apache Iceberg community is introducing native geospatial type support, addressing key challenges in managing geospatial data at scale, including fragmented geospatial formats and inefficiencies in storing large spatial datasets. This talk will delve into the development of the origins of the Iceberg geo type, its specification design, and future goals. We will examine the impact on both the geospatial and Iceberg communities, in introducing a standard data sharing, transactions, time travel, and schema evolution to the geospatial community, and enabling optimized geospatial analytics and storage for Iceberg users. We will also present a live demonstration of the Iceberg geo data type with Apache Sedona and Apache Spark, showcasing how it simplifies and accelerates geospatial analytics workflows and queries. Finally, we will also provide an in-depth look at its current capabilities and outline the roadmap for future developments, and offer a perspective on its role in advancing geospatial data management in the industry.