<Table> <Tr> <Th> No . </Th> <Th> Company </Th> <Th> Industry </Th> <Th> Revenue </Th> <Th> Headquarters </Th> </Tr> <Tr> <Td> </Td> <Td> Mitsui </Td> <Td> Engineering , various </Td> <Td> 666,512 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> </Td> <Td> IBM </Td> <Td> Engineering , various </Td> <Td> 306,916 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 6 </Td> <Td> General Motors </Td> <Td> Automotive </Td> <Td> 244,539 </Td> <Td> United States </Td> </Tr> <Tr> <Td> </Td> <Td> Volkswagen Group </Td> <Td> Engineering , various </Td> <Td> 221,551 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> </Td> <Td> Samsung Electronics </Td> <Td> Electronics , various </Td> <Td> 167,000 </Td> <Td> South Korea </Td> </Tr> <Tr> <Td> </Td> <Td> Daimler </Td> <Td> Automotive </Td> <Td> 394,890 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 5 </Td> <Td> General Electric </Td> <Td> Engineering , various </Td> <Td> 147,616 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 5 </Td> <Td> Exor </Td> <Td> Automotive </Td> <Td> 140,297 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 7 </Td> <Td> Ford </Td> <Td> Automotive </Td> <Td> 136,264 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 8 </Td> <Td> Hewlett - Packard </Td> <Td> Electronics </Td> <Td> 127,245 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 9 </Td> <Td> Hitachi </Td> <Td> Engineering , various </Td> <Td> 122,419 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 10 </Td> <Td> Nissan </Td> <Td> Automotive </Td> <Td> 119,166 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 11 </Td> <Td> Hon Hai Precision Industry </Td> <Td> Electronics </Td> <Td> 117,514 </Td> <Td> Taiwan </Td> </Tr> <Tr> <Td> 13 </Td> <Td> Siemens </Td> <Td> Engineering , various </Td> <Td> 113,349 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 14 </Td> <Td> Apple </Td> <Td> Electronics </Td> <Td> 108,249 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 15 </Td> <Td> Toyota </Td> <Td> Automotive </Td> <Td> 105,364 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 16 </Td> <Td> Cardinal Health </Td> <Td> Pharmaceuticals </Td> <Td> 102,644 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 17 </Td> <Td> BASF </Td> <Td> Chemicals </Td> <Td> 102,194 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 18 </Td> <Td> Honda </Td> <Td> Automotive </Td> <Td> 100,664 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 19 </Td> <Td> Panasonic </Td> <Td> Engineering , various </Td> <Td> 99,373 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 20 </Td> <Td> BMW </Td> <Td> Automotive </Td> <Td> 95,692 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 21 </Td> <Td> ArcelorMittal </Td> <Td> Steel </Td> <Td> 94,444 </Td> <Td> Luxembourg </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Nestle </Td> <Td> Food & Beverages </Td> <Td> 94,405 </Td> <Td> Switzerland </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Eni </Td> <Td> Oil & gas </Td> <Td> 90,405 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 23 </Td> <Td> Peugeot </Td> <Td> Automotive </Td> <Td> 83,305 </Td> <Td> France </Td> </Tr> <Tr> <Td> 24 </Td> <Td> Procter & Gamble </Td> <Td> Consumer goods </Td> <Td> 82,559 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 25 </Td> <Td> Sony </Td> <Td> Electronics </Td> <Td> 82,237 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Toshiba </Td> <Td> Engineering , various </Td> <Td> 77,261 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Enel </Td> <Td> Renewable energy </Td> <Td> 75,405 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 27 </Td> <Td> Bosch </Td> <Td> Engineering , various </Td> <Td> 71,600 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 28 </Td> <Td> Sinochem </Td> <Td> Chemicals </Td> <Td> 70,990 </Td> <Td> China </Td> </Tr> <Tr> <Td> 29 </Td> <Td> Mitsubishi </Td> <Td> Engineering , various </Td> <Td> 70,492 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 30 </Td> <Td> Hyundai Motor Company </Td> <Td> Automotive </Td> <Td> 70,227 </Td> <Td> South Korea </Td> </Tr> <Tr> <Td> 31 </Td> <Td> ThyssenKrupp </Td> <Td> Steel </Td> <Td> 68,791 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 32 </Td> <Td> Boeing </Td> <Td> Aerospace & Defense </Td> <Td> 68,735 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 33 </Td> <Td> Airbus </Td> <Td> Aerospace & Defense </Td> <Td> 68,310 </Td> <Td> France </Td> </Tr> <Tr> <Td> 34 </Td> <Td> Pfizer </Td> <Td> Pharmaceuticals </Td> <Td> 67,932 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 35 </Td> <Td> SAIC Motor </Td> <Td> Automotive </Td> <Td> 67,255 </Td> <Td> China </Td> </Tr> <Tr> <Td> 37 </Td> <Td> PepsiCo </Td> <Td> Food & Beverages </Td> <Td> 66,504 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 38 </Td> <Td> Johnson & Johnson </Td> <Td> Personal care products </Td> <Td> 65,030 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 39 </Td> <Td> Unilever </Td> <Td> Consumer goods </Td> <Td> 64,610 </Td> <Td> Netherlands </Td> </Tr> <Tr> <Td> 40 </Td> <Td> Dongfeng Motor Group </Td> <Td> Automotive </Td> <Td> 62,911 </Td> <Td> China </Td> </Tr> <Tr> <Td>
<Table> <Tr> <Th> No . </Th> <Th> Company </Th> <Th> Industry </Th> <Th> Revenue </Th> <Th> Headquarters </Th> </Tr> <Tr> <Td> </Td> <Td> Mitsui </Td> <Td> Engineering , various </Td> <Td> 666,512 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> </Td> <Td> IBM </Td> <Td> Engineering , various </Td> <Td> 306,916 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 6 </Td> <Td> General Motors </Td> <Td> Automotive </Td> <Td> 244,539 </Td> <Td> United States </Td> </Tr> <Tr> <Td> </Td> <Td> Volkswagen Group </Td> <Td> Engineering , various </Td> <Td> 221,551 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> </Td> <Td> Samsung Electronics </Td> <Td> Electronics , various </Td> <Td> 167,000 </Td> <Td> South Korea </Td> </Tr> <Tr> <Td> </Td> <Td> Daimler </Td> <Td> Automotive </Td> <Td> 394,890 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 5 </Td> <Td> General Electric </Td> <Td> Engineering , various </Td> <Td> 147,616 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 5 </Td> <Td> Exor </Td> <Td> Automotive </Td> <Td> 140,297 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 7 </Td> <Td> Ford </Td> <Td> Automotive </Td> <Td> 136,264 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 8 </Td> <Td> Hewlett - Packard </Td> <Td> Electronics </Td> <Td> 127,245 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 9 </Td> <Td> Hitachi </Td> <Td> Engineering , various </Td> <Td> 122,419 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 10 </Td> <Td> Nissan </Td> <Td> Automotive </Td> <Td> 119,166 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 11 </Td> <Td> Hon Hai Precision Industry </Td> <Td> Electronics </Td> <Td> 117,514 </Td> <Td> Taiwan </Td> </Tr> <Tr> <Td> 13 </Td> <Td> Siemens </Td> <Td> Engineering , various </Td> <Td> 113,349 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 14 </Td> <Td> Apple </Td> <Td> Electronics </Td> <Td> 108,249 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 15 </Td> <Td> Toyota </Td> <Td> Automotive </Td> <Td> 105,364 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 16 </Td> <Td> Cardinal Health </Td> <Td> Pharmaceuticals </Td> <Td> 102,644 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 17 </Td> <Td> BASF </Td> <Td> Chemicals </Td> <Td> 102,194 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 18 </Td> <Td> Honda </Td> <Td> Automotive </Td> <Td> 100,664 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 19 </Td> <Td> Panasonic </Td> <Td> Engineering , various </Td> <Td> 99,373 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 20 </Td> <Td> BMW </Td> <Td> Automotive </Td> <Td> 95,692 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 21 </Td> <Td> ArcelorMittal </Td> <Td> Steel </Td> <Td> 94,444 </Td> <Td> Luxembourg </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Nestle </Td> <Td> Food & Beverages </Td> <Td> 94,405 </Td> <Td> Switzerland </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Eni </Td> <Td> Oil & gas </Td> <Td> 90,405 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 23 </Td> <Td> Peugeot </Td> <Td> Automotive </Td> <Td> 83,305 </Td> <Td> France </Td> </Tr> <Tr> <Td> 24 </Td> <Td> Procter & Gamble </Td> <Td> Consumer goods </Td> <Td> 82,559 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 25 </Td> <Td> Sony </Td> <Td> Electronics </Td> <Td> 82,237 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Toshiba </Td> <Td> Engineering , various </Td> <Td> 77,261 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Enel </Td> <Td> Renewable energy </Td> <Td> 75,405 </Td> <Td> Italy </Td> </Tr> <Tr> <Td> 27 </Td> <Td> Bosch </Td> <Td> Engineering , various </Td> <Td> 71,600 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 28 </Td> <Td> Sinochem </Td> <Td> Chemicals </Td> <Td> 70,990 </Td> <Td> China </Td> </Tr> <Tr> <Td> 29 </Td> <Td> Mitsubishi </Td> <Td> Engineering , various </Td> <Td> 70,492 </Td> <Td> Japan </Td> </Tr> <Tr> <Td> 30 </Td> <Td> Hyundai Motor Company </Td> <Td> Automotive </Td> <Td> 70,227 </Td> <Td> South Korea </Td> </Tr> <Tr> <Td> 31 </Td> <Td> ThyssenKrupp </Td> <Td> Steel </Td> <Td> 68,791 </Td> <Td> Germany </Td> </Tr> <Tr> <Td> 32 </Td> <Td> Boeing </Td> <Td> Aerospace & Defense </Td> <Td> 68,735 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 33 </Td> <Td> Airbus </Td> <Td> Aerospace & Defense </Td> <Td> 68,310 </Td> <Td> France </Td> </Tr> <Tr> <Td> 34 </Td> <Td> Pfizer </Td> <Td> Pharmaceuticals </Td> <Td> 67,932 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 35 </Td> <Td> SAIC Motor </Td> <Td> Automotive </Td> <Td> 67,255 </Td> <Td> China </Td> </Tr> <Tr> <Td> 37 </Td> <Td> PepsiCo </Td> <Td> Food & Beverages </Td> <Td> 66,504 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 38 </Td> <Td> Johnson & Johnson </Td> <Td> Personal care products </Td> <Td> 65,030 </Td> <Td> United States </Td> </Tr> <Tr> <Td> 39 </Td> <Td> Unilever </Td> <Td> Consumer goods </Td> <Td> 64,610 </Td> <Td> Netherlands </Td> </Tr> <Tr> <Td> 40 </Td> <Td> Dongfeng Motor Group </Td> <Td> Automotive </Td> <Td> 62,911 </Td> <Td> China </Td> </Tr> <Tr> <Td>
what is the largest manufacturer in the world
what is the largest manufacturer in the world
Mitsui
Mitsui