The　high-quality　development　of　the　industrial　software　industry　is　of　strategic　significance　to　enhancing　the　core　competitiveness　of　the　manufacturing　industry　and　promoting　the　high-quality　development　of　China＇s　industrial　economy.　By　integrating　the　＂capital-technology-environment-human＂　production　factor　theory　and　configuration　perspective,　this　paper　constructs　a　comprehensive　analysis　framework　that　drives　the　total　factor　productivity　(TFP)　of　the　industrial　software　industry.　This　paper　uses　40　typical　industrial　software　firms　in　2018-2020　as　case　samples　and　uses　fuzzy　set　Qualitative　Comparative　Analysis　(fsQCA)　to　empirically　explore　the　influencing　factors　and　complex　mechanisms　that　achieve　high-quality　development　of　the　industrial　software　industry.　It　is　found　that:　(1)　a　single　industrial　factor　is　hardly　a　necessary　condition　to　drive　the　industrial　software　industry;　(2)　there　are　four　paths　to　achieving　high　TFP,　which　are　summarized　as　＂technical-human-environmental＂　balanced　driving　type,　＂capital-human-environmental＂　balanced　driving　type,　＂technical-capital＂　dual　driving　type,　and　＂capital＂　single　driving　type.　There　are　four　driving　mechanisms.　There　are　also　four　not-high　TFP　configurations　with　asymmetric　characteristics;　(3)　under　certain　conditions,　the　combination　of　capital　factors,　technical　factors,　environmental　factors,　and　human　factors　can　drive　TFP　in　an　＂all　roads　lead　to　Rome＂.　In　this　process,　the　government＇s　attention　plays　a　more　universal　role.　The　study　not　only　expands　the　application　scenarios　of　fsQCA　but　also　provides　decision　guidelines　for　the　practice　of　strategic　emerging　industrialization　represented　by　the　industrial　software　industry.