diff --git a/paimon-core/src/main/java/org/apache/paimon/table/system/TableIndexesTable.java b/paimon-core/src/main/java/org/apache/paimon/table/system/TableIndexesTable.java
index 990a3e8f2d3c..320257ce1057 100644
--- a/paimon-core/src/main/java/org/apache/paimon/table/system/TableIndexesTable.java
+++ b/paimon-core/src/main/java/org/apache/paimon/table/system/TableIndexesTable.java
@@ -27,6 +27,7 @@
 import org.apache.paimon.disk.IOManager;
 import org.apache.paimon.fs.FileIO;
 import org.apache.paimon.index.DeletionVectorMeta;
+import org.apache.paimon.index.GlobalIndexMeta;
 import org.apache.paimon.index.IndexFileHandler;
 import org.apache.paimon.index.IndexFileMetaSerializer;
 import org.apache.paimon.manifest.IndexManifestEntry;
@@ -84,9 +85,11 @@ public class TableIndexesTable implements ReadonlyTable {
                             new DataField(4, "file_size", new BigIntType(false)),
                             new DataField(5, "row_count", new BigIntType(false)),
                             new DataField(
-                                    6,
-                                    "dv_ranges",
-                                    new ArrayType(true, DeletionVectorMeta.SCHEMA))));
+                                    6, "dv_ranges", new ArrayType(true, DeletionVectorMeta.SCHEMA)),
+                            new DataField(7, "row_range_start", new BigIntType(true)),
+                            new DataField(8, "row_range_end", new BigIntType(true)),
+                            new DataField(9, "index_field_id", new IntType(true)),
+                            new DataField(10, "index_field_name", newStringType(true))));
 
     private final FileStoreTable dataTable;
 
@@ -201,10 +204,16 @@ public RecordReader<InternalRow> createReader(Split split) {
                             CastExecutors.resolveToString(
                                     dataTable.schema().logicalPartitionType());
 
+            RowType logicalRowType = dataTable.schema().logicalRowType();
+
             Iterator<InternalRow> rows =
                     Iterators.transform(
                             manifestFileMetas.iterator(),
-                            indexManifestEntry -> toRow(indexManifestEntry, partitionCastExecutor));
+                            indexManifestEntry ->
+                                    toRow(
+                                            indexManifestEntry,
+                                            partitionCastExecutor,
+                                            logicalRowType));
             if (readType != null) {
                 rows =
                         Iterators.transform(
@@ -218,9 +227,18 @@ public RecordReader<InternalRow> createReader(Split split) {
 
         private InternalRow toRow(
                 IndexManifestEntry indexManifestEntry,
-                CastExecutor<InternalRow, BinaryString> partitionCastExecutor) {
+                CastExecutor<InternalRow, BinaryString> partitionCastExecutor,
+                RowType logicalRowType) {
             LinkedHashMap<String, DeletionVectorMeta> dvMetas =
                     indexManifestEntry.indexFile().dvRanges();
+            GlobalIndexMeta globalMeta = indexManifestEntry.indexFile().globalIndexMeta();
+            String indexFieldName = null;
+            if (globalMeta != null) {
+                try {
+                    indexFieldName = logicalRowType.getField(globalMeta.indexFieldId()).name();
+                } catch (RuntimeException ignored) {
+                }
+            }
             return GenericRow.of(
                     partitionCastExecutor.cast(indexManifestEntry.partition()),
                     indexManifestEntry.bucket(),
@@ -230,7 +248,11 @@ private InternalRow toRow(
                     indexManifestEntry.indexFile().rowCount(),
                     dvMetas == null
                             ? null
-                            : IndexFileMetaSerializer.dvMetasToRowArrayData(dvMetas.values()));
+                            : IndexFileMetaSerializer.dvMetasToRowArrayData(dvMetas.values()),
+                    globalMeta != null ? globalMeta.rowRangeStart() : null,
+                    globalMeta != null ? globalMeta.rowRangeEnd() : null,
+                    globalMeta != null ? globalMeta.indexFieldId() : null,
+                    indexFieldName != null ? BinaryString.fromString(indexFieldName) : null);
         }
     }
 
diff --git a/paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/LuminaVectorIndexTest.scala b/paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/LuminaVectorIndexTest.scala
index 211ef23a5eef..e428a28b1e71 100644
--- a/paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/LuminaVectorIndexTest.scala
+++ b/paimon-spark/paimon-spark-ut/src/test/scala/org/apache/paimon/spark/sql/LuminaVectorIndexTest.scala
@@ -68,6 +68,56 @@ class LuminaVectorIndexTest extends PaimonSparkTestBase {
     }
   }
 
+  test("table_indexes system table - global index metadata") {
+    withTable("T") {
+      spark.sql("""
+                  |CREATE TABLE T (id INT, v ARRAY<FLOAT>)
+                  |TBLPROPERTIES (
+                  |  'bucket' = '-1',
+                  |  'global-index.row-count-per-shard' = '10000',
+                  |  'row-tracking.enabled' = 'true',
+                  |  'data-evolution.enabled' = 'true')
+                  |""".stripMargin)
+
+      val values = (0 until 100)
+        .map(
+          i => s"($i, array(cast($i as float), cast(${i + 1} as float), cast(${i + 2} as float)))")
+        .mkString(",")
+      spark.sql(s"INSERT INTO T VALUES $values")
+
+      spark
+        .sql(
+          s"CALL sys.create_global_index(table => 'test.T', index_column => 'v', index_type => '$indexType', options => '$defaultOptions')")
+        .collect()
+
+      // Query table_indexes system table
+      val indexRows = spark
+        .sql("""
+               |SELECT index_type, row_count, row_range_start, row_range_end,
+               |       index_field_id, index_field_name
+               |FROM `T$table_indexes`
+               |WHERE index_type = 'lumina-vector-ann'
+               |""".stripMargin)
+        .collect()
+
+      assert(indexRows.nonEmpty)
+      val row = indexRows.head
+      assert(row.getAs[String]("index_type") == "lumina-vector-ann")
+      assert(row.getAs[Long]("row_count") == 100L)
+      assert(row.getAs[Long]("row_range_start") == 0L)
+      assert(row.getAs[Long]("row_range_end") == 99L)
+      assert(row.getAs[String]("index_field_name") == "v")
+
+      // Verify max row id matches snapshot next_row_id - 1
+      val nextRowId = spark
+        .sql("SELECT next_row_id FROM `T$snapshots` ORDER BY snapshot_id DESC LIMIT 1")
+        .collect()
+        .head
+        .getAs[Long]("next_row_id")
+      assert(row.getAs[Long]("row_range_end") == nextRowId - 1)
+    }
+  }
+
   test("create lumina vector index - with partitioned table") {
     withTable("T") {
       spark.sql("""