2019 No.01 忡 Ȱ ߿ ϰ ִ. ΰ 迡 οϴ ۾ ִµ ֱ پ ۾ ־ ϰ ۾ ؼ ̳ ǻ ٰŷ Ȱ ִ ϻ س ־ Ѵ. ̷ Ư ؼ Ʈ Ʈ Ȯ ȭ Ȱ뿡 ΰ Ʈ ؿ ִ. ̷ ǽĿ Ʈ Ʈ ܰ踦 , ߰1 , ߰2 , ȭ ܰ 4ܰ Ͽ ܰ ؿ ִ. ⼭ ý ܰμ ű Ȱؼ Ϻ Ȱϴ ̰ܰ, ߰1 ؼ 輳 ڵ ܰ踦 ǹѴ. ߰2 ڵȭ ǽð ǻ ȹ ȭ ϴ ̰ܰ, ȭ 繰ͳ, CPS ü踦 ǹ Ѵ. 2014 2017 Ʈ 729 /߰ ̾3). 2014 ù 47 ؼ 2015 143 , 2016 220 , 2017 319 ־. Ʈȭ ̹ ΰ ϰ ִ ż Ǿ ֱ ȮǾ ̴. 뿡 ణ ֱ , Ʈ ⺻ Ʈ Ϸ ִ 5õ ش 50% ϰ ִ. ǰ ִ MES, ERP, SCM, PLM, FEMS, IoT ̴. θ Ե MESμ 63.0% 鿡 ԵǾ. ڸ ̾ ERP(17.6%), PLM(10.8%), Robot & IoT(9.3%) Ÿ ִ. Ե 鿡 ֵ, ܰ Ʈ ȭ ߰ κ Ʈ ܰ迡 ӹ ִ. Ʈ ʼؿ ӹ ִ 82.0%μ е ̰ ְ, ߰ 1 16.6%, ߰2 1.0%, ȭ 0% ϰ ־ Ʈ ܰ迡 ӹ ִ. 3. ұ Ʈ Ȳ 2018 6 Ʈ屸 ܿ ִ 114 ؼ Ͽµ, 31.3%. 뵵 Ʈ ̱ Ͽµ, ⼭ ߽ Ұ ϰ Ѵ. 650 Ⱓ 2018 8 20Ͽ 9 20ϱ 1̾, ̸ϰ ѽ ̿ 3) Ʈ 絵 ǰ , Լ ߴ 2017 Ⱓ ؼ Ұϰ Ѵ. , ΰյ Ʈ ߴ Ʈ Ͽ . 47
ȹ ڱԽ Ǿ. ǥ Ÿ 76.3%μ ټ ϰ ִ. Ʈ 2017 47.8% , 2016(23.4%), 2018(18.0%), 2015 (7.2%), 2014(3.6%) ǰ ִ. Ʈ оߴ 83.3% , ȹ(8.8%), Ǹ(7.9%), (7.0%) ǰ ִ. MES 43.0% ERP(33.3%), ڵȭ(19.3%), PLM(8.8%), SCM(1.8%) Ÿ ־ Ʈ ϰ Ÿ ִ. κ ȭ ߽̰ 4 ٽ /ΰɰ 繰ͳ(IoT) Ȱ뵵 ſ Ÿ ִ. ó ߰ ִ ̱ Ʈ ص Ÿ ִµ, Ʈ 6.1%̰, ʼ 86.8%, ߰1 7.0% ӹ ִ. Ʈ ܰ ϱ ؼ ڵȭ Ǵµ, ̵ ü ڵȭ ϴ ǰ ִµ, ڵȭ 40% ̸ ü ǥ 87.7% ϰ ִ. ÿ ڵȭ 14.1% μ (stand- alone) ڵȭ ̴. ڵȭ鵵 Ʈ յ ִµ, ڵȭ迡 ȭ ȰѴٴ 4.4%μ . ݸ鿡 ؿ ؼ ̶ 61.2% Ÿ ִ. ̻ Ʈ ұ ַ ؼ Ʈ ϰ, ִ ڵȭ Ʈ սŰ ְ ִ. ٸ Ʈ ۾ 뿡 ȭ ϰ ? ۾ , α ۼ ۾ڿ οϴ 46.5%, ġ/ ü ۾ڿ οϴ 40.4%, ۾ڿ οϴ 29.8% 23.7% Ÿ ִ. ̻ ٷ ۾ ýϰ , Ʈ Ŀ ۾̳ 뿡 Ư ȭ ߰ߵ ʰ ִ. , , о 鿡 ܼȭ ȭ ϰ Ÿ ְ, /ÿ, з ܼȭǾٴ ȭǾٴ ϰ Ÿ ִ. ÿ Ʈ ߰ ٷ Ǿٴ ߴٴ ϰ Ÿ ִ. ۿ Ʈ ʰٷνð, , ٹ ٹµ ȭ ǰ ִ. Ʈ ׳ ۾̳ Ҽ ְ ־. 켱 ο ȭ ִٴ 44.7%, ȭ ִٴ 2.6% Ÿ , ȭ ִٴ 30.7%, ȭߴٴ 2.6% Ÿ ִ. Ʈ 뿡 ģ , Ʈ ߴٴ 15.8%, 48