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Japan Almanac

Cat: ENE
Pub: 2011
#1208b

Compiled by: Kanzo Kobayashi

up 13y05
Title

Japan Almanac

日本の統計データ

Index
Why?
  • These are the basic statistic data collected from various souces, which are useful to make effective presentation materials.
  • 様々な統計データ基礎資料集で、効果的なプレゼン資料の作成に役立つ。
Statistics

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0. Fundamentals (基礎指標): Japan

Calendar Yr Unit 2005 2006 2007 2008 2009 2010 2011 2012
GDP Nominal YenB 503903 506687 512975 501209 471138 482384 470560 475572
GDP Real YenB 503921 512451 523685 518230 489588 512364 509369 519335
GDP Deflator   100 98.9 98 96.7 96.2 94.1 92.4 91.6
GDP Growth (N) % 0 0.6 1.2 -2.3 -6 2.4 -2.5 1.1
GDP Growth (R) % 1.3 1.7 2.2 -1.0 -5.5 4.7 -0.6 2.0
Population   127761 127876 128002 128053 12031 128030 127742  
  • Source: MOF Statistics, 2013
  • Estimate of Japanese Current Balance (2013e) Japan; 経常収支:
  2011FY   2012FY   2013FYe  
  YenB increment YenB increment YenB increment
Trade & Service -5296 -10519 -9434 -4129 -8292 1142
_Trade Balance -3470 -9965 -6892 -3422 -5732 -2310
__Export 62628 -2.8% 61583 -1.7% 61599 0.0%
__Import 66097 14.0% 68475 3.6% 67131 -0.2%
_Service Balance -1827 -554 -2542 -715 -2560 -18
Financial capital (Income) 14007 1395 14745 738 14681 -64
Financial transfer -1093 82 -958 135 -1082 -124
*Current balance 7618 -9042 4354 -3264 5307 953
  • Source: MOF Statistics, 2013, and Foreign Trade, Japan Foreign Trade Council, Inc., 2013

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1. Export/Import by Commodity: (商品別輸出入): (¥100 M)

Commodity   2005 2006 2007 2008 2009 2010 2011 2012
Transport equipment 輸送機器 151973 182396 208393 200680 118390 152537 140334 149839
Machinery 一般機械 133524 148061 166314 159277 96689 133108 139033 128430
Electrical machinery 電気機器 145492 160771 169498 153681 107712 126501 116001 114074
manufactured goods 原料別製品 73968 86782 98761 101767 70192 87861 87861 84426
Chemicals 化学製品 58480 67942 77453 72688 57839 69226 67980 63659
Other exports その他輸出 93128 106592 118895 122088 91002 104421 105256 97008
*Export Total *輸出合計 656565 752544 839314 810181 541824 673654 655465 637436
Mineral fuels 鉱物性燃料 145597 186487 202061 276583 141921 173973 218162 240784
Electrical machinery 電気機器 74018 86892 93098 86284 65041 81022 79888 84330
Foodstuff 食料品 55588 57041 60408 62118 49935 52037 58542 58496
Machinery 一般機械 56607 62449 65149 60739 42218 46316 49697 49994
Raw materials 原料品 34052 46024 56703 55384 33020 47652 52703 47773
Other imports その他輸入 202632 232744 253940 248440 181641 206593 222120 225366
*Import Total *輸入合計 569494 671637 731359 789548 513776 607593 681112 706743
**Export - Import **輸出-輸入 87071 80907 107955 20633 28048 66060 -25647 -69307

Export by Area (Country) 2005 2006 2007 2008 2009 2010 2011 2012 %
*Asia 317956 358019 404001 399662 293473 378205 366859 348619 54.7
China 88369 107965 128390 129499 102389 130854 129022 115110 18.1
R. Korea 51460 58505 63840 61683 44123 54602 52691 49121 7.7
Taiwan 48092 51308 52744 47816 34005 45954 40577 36734 5.8
Thai 24777 26652 30093 30515 20699 29945 29885 34906 5.5
Hongkong 39685 42395 45717 41778 29749 37051 34198 32771 5.1
Singapore 20345 22677 25661 27576 19339 22099 21701 18603 2.9
Indonesia 10169 8577 10645 13036 8699 13942 14123 16129 1.5
Malaysia 13829 15371 17690 17054 12001 15440 14961 14129 2.2
*Oceania 17137 18107 21041 21997 14097 17959 17779 18365 2.9
Australia 13705 14630 16688 17933 11355 13920 14184 14705 2.3
*North America 157773 180962 181347 153305 94676 111857 107271 120040 18.8
USA 148055 169375 168962 142143 87447 8163 100177 111848 17.5
Canada 9718 11586 12384 11162 6370 8163 7094 8192 1.3
*M-South America 27597 35449 41304 42468 30740 38722 35276 34280 5.4
Mexico 7648 10800 12045 10315 6370 8380 8145 8368 1.3
Brazil 2994 3543 4693 6132 3950 5431 4942 4730 0.8
Chile 1040 1264 1856 2851 1249 2373 1868 1560 0.2
*Western Europe 97404 110297 123291 114454 70778 80269 81714 66842 10.5
Germany 20578 23757 26597 24837 15537 17772 18714 16600 2.6
UK 16635 17700 19170 17070 11021 12411 13044 10646 1.7
France 8562 8870 9839 9310 5777 5845 6377 5337 0.8
Italy 6218 7479 7902 7055 4481 4899 4247 2922 0.5
*East Europe 11328 16425 23889 29322 9058 14344 16696 16350 2.6
Russia 4953 8214 12654 17148 3070 7025 9407 10049 1.6
*Middle East 18230 22430 30780 35083 20143 22171 19555 22619 3.5
UAE 5348 7032 9457 11242 6064 6424 5923 7156 1.1
Saudi Arabia 4607 5401 7905 8139 5023 5677 5172 6568 1
*Africa 9043 10943 13655 13890 8859 10570 10528 10319 1.6
South Africa 3613 4720 5417 4798 2432 3353 3437 3242 0.5
**Export Total 656565 752544 829314 810181 541824 173654 655465 637436 100

Import by Area 2005 2006 2007 2008 2009 2010 2011 2012 %
*Asia 252787 293204 315629 320339 299601 275034 303913 312933 45.9
China 119754 137729 150355 148304 114330 115655 146419 150337 22.1
R. Korea 26953 31749 32096 30520 20501 28898 31701 32386 4.8
Malaysia 16194 18011 20469 23976 15655 19883 24257 26189 3.8
Indonesia 22981 27915 31166 33780 20132 24758 27160 25749 3.8
Taiwan 19942 23632 23345 22582 17101 20239 18519 19189 2.8
Thai 17175 19626 21536 21523 14943 18409 19532 18839 2.8
Philippines 8500 9209 10262 8725 5918 6947 7121 7493 1.1
Singapore 7391 8692 8289 8166 5700 7152 6909 6995 1
*Oceania 30975 36599 41886 53781 35299 43264 48932 48954 7.2
Australia 27062 32212 36732 49216 32371 29492 45139 44977 6.6
*North America 80671 90242 95304 93710 63608 68740 69702 71002 10.4
USA 70743 79103 83487 80396 55045 59137 59314 60818 8.9
Canada 9851 11066 11741 13228 8480 9578 10316 10100 1.5
*M-South America 17671 22952 28416 28632 18273 24841 27722 28296 4.2
Brazil 4881 5941 7050 9433 6002 8595 10091 9587 1.4
Chile 5654 7773 9590 8244 5946 6783 7821 7462 1.1
Mexico 2799 3281 3711 3953 4582 3047 3169 3512 0.5
*Western Europe 70565 75739 82986 79992 61285 64207 70307 72433 10.6
Germany 19676 21448 22836 21591 15619 16890 18562 19710 2.9
France 9407 10431 11801 11004 8535 9012 9436 10234 1.5
Italy 7577 8175 8537 8244 5946 5950 6914 7652 1.1
UK 7399 7801 8865 7738 5293 17285 5786 5823 0.9
*East Europe 9245 10633 16025 17840 10845 14122 18547 20732 3
Russia 6827 7738 12415 13893 8250 103906 15139 16594 2.4
*Middle East 96637 126867 133699 173511 86372 31501 128323 135422 19.9
Saudi Arabia 31708 43254 41475 52927 27195 32501 40258 43757 6.4
UAE 27955 36670 38037 48719 21127 25682 34131 35097 5.2
*Africa 10918 15366 17361 21720 8483 10310 13661 16967 2.5
South Africa 6113 7671 9086 9202 4648 6364 6746 5120 0.8
**Import Total 569494 671637 731359 810181 541824 607593 681112 706743 100
  • Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013
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2. Top ten trade commodities (輸出入上位10品目):

Ex. 1995   2000   2005   2008   2010   2012  
1 Vehicles 12.0 Vehicles 13.4 Vehicles 15.1 Vehicles 17.0 Vehicles 13.6 Vehicles 14.5
2 Semiconductor 9.2 Semiconductor 8.9 Semiconductor 6.7 Semiconductor 5.7 Semiconductor 6.2 Iron & Steel 5.5
3 Office mach. 7.0 Office mach. 6.0 Iron & Steel 4.6 Iron & Steel 5.6 Iron & Steel 5.5 Semiconductor 5.2
4 Vehicle parts 4.3 Sci-optical 5.1 Vehicle parts 4.3 Vehicle parts 3.8 Vehicle parts 4.6 Vehicle parts 5.0
5 Sci-optical 4.2 Vehicle parts 3.6 Sci-optical 3.8 Po-generator 3.1 Plastic 3.5 Po-generator 3.5
6 Iron & Steel 4.0 Po-generator 3.2 Po-generator 3.3 Plastic 2.8 Po-generator 3.5 Sci-optical 3.3
7 Po-generator 3.5 Iron & Steel 3.1 Organic chem 2.9 Organic Chem 2.5 Ships 3.3 Plastic 3.2
8 Organic chem 2.5 Visual appar. 2.7 Visual appar. 2.7 Sci-optical 2.5 Sci-optical 3.0 Organic chem 2.9
9 Ships 2.4 Organic chem 2.3 Plastic 2.6 Ships 2.5 Organic chem 2.8 Ships 2.7
10 Visual appar. 2.3 Plastic 2.0 Elec.apparatus 2.6 Elec.apparatus 2.3 Elec.apparatus 2.6 Elec.apparatus 2.5

Im. 1995   2000   2005   2008   2010   2012  
1 Petroleum 8.9 Petroleum 11.8 Petroleum 15.5 Petroleum 20.6 Petroleum 15.5 Petroleum 17.3
2 Clothes 5.6 Office mach. 7.1 Clothes 4.3 LNG 5.9 LNG 5.7 LNG 8.5
3 Fish 5.2 Semiconductor 5.2 Semiconductor 4.1 Coal 3.8 Clothes 3.8 Clothes 3.8
4 Office ach. 4.7 Clothes 5.2 Computers 3.6 Clothes 3.3 Semiconductor 3.5 Petr. product 3.5
5 Semiconductor 3.6 Fish 4.0 LNG 3.5 Non-fer. metal 3.2 Coal 3.5 Coal 3.3
6 Vehicles 3.0 LNG 3.4 AV apparatus 2.8 Semiconductor 3.1 AV apparatus 2.7 Telephony 3.0
7 Wood 3.0 Sci-optical 2.3 Fish 2.7 Petr. product 3.0 Non-fer. metal 2.6 Medical 2.7
8 Meat 2.9 Petr. product 2.3 Coal 2.7 Computers 2.3 Petr. product 2.6 Semiconductor 2.5
9 LNG 2.3 Meat 2.3 Petr. product 2.6 Non-fer. ore 2.1 Computers 2.5 Computers 2.3
10 Organic chem 2.2 AV apparatus 2.1 Non-fer. metal 2.6 Organic chem 1.9 Medical 2.5 Iron ore 2.2

  • Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013
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3. Major imported resources (2012) (主要輸入資源):

  First   Second   Third   Top3 %
  Country % Country % Country %  
Petroleum Saudi Arabia 33.0 UAE 21.8 Qatar 10.7 65.5
LNG Qatar 18.7 Malaysia 17.9 Australia 17.4 54.1
Coal Australia 62.7 Indonesia 15.2 Canada 7.3 85.1
Iron ore Australia 56.3 Brazil 32.9 South Africa 5.1 94.3
Non-ferrous ore Chile 34.6 Australia 14.6 Indonesia 12.6 61.8
Wood Canada 27.6 US 16.9 Russia 11.3 55.7
Fish Chile 10.9 Russia 10.9 US 10.2 32.0
Soy beans US 61.6 Brazil 19.5 Canada 16.3 97.5
Maize US 75.5 Brazil 12.4 Ukraine 6.0 93.9
Wheat US 52.9 Canada 27.6 Australia 19.3 99.8
  • Source: Foreign Trade, Japan Foreign Trade Council, Inc., 2007-2013
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4. Exchange Rate: and Topics: 為替レート&トピックス

Year ¥/US$ Remarks Year ¥/US$ ¥/€ Remarks
1970   大阪万博;よど号 1990 144.80   大阪花博;大学入試センター試験
1971   Nixon Shock; ¥308/$ 1991 134.54   雲仙普賢岳火砕流
1972   日中国交回復;沖縄復帰;札幌 1992 126.65   PKO法案;のぞみ登場
1973   Oil Shock-1;変動為替制度 1993 111.18   Jリーグ;北海道南西沖地震

1974

292.08 新宿西口高層ビル 1994 102.23   関西国際空港
1975 296.79 ベトナム戦争終;沖縄海洋博 1995 94.06   阪神大震災;地下鉄サリン事件
1976 296.55 ソ連Mig-25 1996 108.79   東京三菱Bank
1977 268.51 有珠山爆発 1997 121.00   山一証券他破綻
1978 210.44 日中平和条約;成田開港 1998 130.90   金融Big bang;長野冬季Olympic
1979 219.14 Oil Shock-2;Walkman 1999 113.91 102.91 DoCoMo iMode
1980 226.74 モスクワ五輪 2000 107.77 106.55 沖縄Summit;介護保険制度
1981 220.54 神戸ポートピア 2001 121.53 116.51 国内BSE;省庁再編
1982 249.07 東北上越新幹線 2002 125.14 125.08 日朝首脳会談
1983 237.51 日本Disneyland 2003 115.94 133.74 地上波デジタル開始
1984 237.52 BS放送開始;DDI 2004 108.17 141.61 中越地震;イラク派兵
1985 238.54 NTT民営化;つくば科学博 2005 110.16 139.83 郵政選挙・愛知万博
1986 168.51 大島三原山噴火 2006 116.31 156.50 Livedoorショック
1987 144.62 国鉄分割民営化 2007 117.76 166.66 日本郵政;年金問題
1988 128.15 青函トンネル;東京ドーム 2008 103.37 127.96 洞爺湖Summit
1989 137.96 マルタ会談;日経¥38,915 2009 93.54 132.00 民主党政権
      2010 87.78 107.90 JAL更正法
      2011 79.81 100.71 東北大震災;福島事故;貿易収支赤字
      2012 79.81 102.44 竹島、尖閣諸島問題;自民党政権復帰
      2013     参議院ねじれ解消7
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5. Trade comparison with major countries: ($100M) (主要国貿易比較)

Export goods China US Germany Japan France Italy UK Canada
2002 3256 6931 6158 4167 3317 2544 2802 2524
2003 4382 7248 7516 4718 3920 2993 3056 2727
2004 5933 8149 9099 5657 4521 3538 3475 3168
2005 7620 9011 9709 5949 4634 3731 3845 3605
2006 9690 10260 11081 6467 4959 4169 4487 3882
2007 12205 11482 13212 7143 5596 4999 4391 4207
2008 14307 12874 14462 7814 6162 5427 4598 4565
2009 12016 10560 11200 5807 4848 4069 3529 3166
2010 15778 12783 12589 7698 5235 4473 4057 3879
2011 18984 14804 14723 8226 5961 5232 4732 4524
World share % 10.4 8.1 8.1 4.5 3.3 2.9 2.6 2.5
Trade depend. 26.0 9.8 41.3 14.0 21.5 23.8 19.6 26.0

Export service US UK Germany China France Japan Italy Canada
2002 2804 1329 966 394 879 661 596 396
2003 2888 1555 1161 464 1008 718 706 431
2004 3334 1940 1393 621 1139 897 835 491
2005 3638 2041 1579 739 1215 1021 883 544
2006 4051 2323 1812 914 1277 1152 974 589
2007 4746 2849 2163 1217 1482 1270 1104 638
2008 5222 2814 2493 1464 1642 1464 1136 667
2009 4908 2413 2269 1296 1431 1258 929 585
2010 5321 2466 2331 1702 1444 1387 976 674
2011 5809 2737 2534 1824 1666 1425 1052 745
World share % 13.9 6l6 6l1 4.4 4.0 3.4 2.5 1.8
Trade depend. 3.8 11.3 7.1 2.5 6.0 2.4 4.8 4.3

Import goods US China Germany Japan France UK Italy Canada
2002 12002 2952 4903 3372 3293 3641 2470 2275
2003 13031 4128 6046 3829 3988 3994 2975 2450
2004 15257 5612 7157 4545 4709 4706 3553 2799
2005 17327 6600 7771 5159 5041 5137 3848 3224
2006 19181 7915 9067 5791 5419 6014 4426 3590
2007 20204 9561 10550 6222 6309 6230 5117 3902
2008 21695 11326 11851 7625 7168 6334 5619 4190
2009 16053 10059 9263 5520 5609 4828 4151 3299
2010 19692 13951 10548 6941 6097 5615 4870 4025
2011 22659 17435 12539 8550 7139 6378 5575 4626
World share % 12.3 9.5 6.8 4.6 3.9 3.5 3.0 2.5
Trade depend. 15.0 23.9 35.1 14.6 25.7 26.4 25.4 26.6

Import service US Germany China UK Japan France Italy Canada
2002 2086 1446 461 1072 979 724 611 445
2003 2202 1724 549 1229 999 865 731 518
2004 2554 1953 716 1452 1199 985 817 580
2005 2735 2096 832 1584 1224

1060

884 649
2006 3084 2220 1003 1703 1339 1121 980 718
2007 3389 2575 1293 1951 1485 1283 1186 817
2008 3729 2886 1580 1953 1673 1402 1257 876
2009 3489 2549 1581 1584 1469 1291 1040 781
2010 3699 2624 1922 1603 1556 1314 1086 900
2011 3953 2891 2365 1704 1658 1435 1140 998
World share % 10.0 7.3 6.0 4.3 4.2 3.6 2.9 2.5
Trade depend. 2.6 8.1 3.2 7.0 2.8 5.2 5.2 5.7
  • Source: Foreign Trade, The Japan Trade Council, Inc., 2013
  • Trade dependency (2011) = Export (or Import) amount/GDP
Export goods (Details of ratio; %) China US Germany Japan France Italy UK Canada
Agricultural products 3.4 11.4 6.4 1.3 14.0 8.4 7.3 13.3
  Food 2.9 8.9 5.4 0.6 12.8 7.7 6.4 9.6
Fuels & Mining products 3.1 12.5 5.9 4.6 7.4 7.4 18.7 34.1
  Fuels 1.7 8.7 2.5 2.0 4.8 5.1 14.0 25.6
Manufactures 93.3 65.3 85.3 88.2 76.6 81.3 72.1 45.1
  Machinery & transport equip. 47.5 33.8 47.9 58.4 36.9 35.3 34.6 24.2
  Automotive products 2.0 14.0 16.7 18.3 9.5 6.6 10.0 11.9
  Chemicals 6.0 14.0 15.3 10.3 18.2 11.4 17.9 8.7
  Iron & steel 2.9 1.4 2.7 5.7 3.4 4.8 2.0 1.7
  Textiles 5.0 0.9 1.1 1.0 1.0 2,8 0.9 0.4
  Clothing 8.1 0.4 1.3 0.1 1.8 4.4 1.4 0.3
Others 0.1 10.8 2.4 5.9 2.0 7.5 2.0 7.5
◆Total 100 100 100 100 100 100 100 100

Export service (Details of ratio; %)

US UK Germany China France Japan Italy Canada
Transportation 13.6 12.9 23.8 19.5 23.2 26.9 14.5 18.1
Travel 25.8 13.0 15.3 26.6 32.3 7.7 40.8 22.4
Other services 60.7 74.1 60.9 53.9 44.5 65.4 44.7 59.4
◆Total 100 100 100 100 100 100 100 100

Import goods (Details of ratio; %) US China Germany Japan France UK Italy Canada
Agricultural products 6.1 8.3 9.4 11.2 9.8 10.8 11.7 8.3
  Food 5.0 43 7.6 9.2 8.2 9.6 9.3 4.3
Fuels & Mining products 23.1 29.6 18.7 40.1 18.9 18.4 25.0 29.6
  Fuels 20.5 15.8 13.5 32.1 16.0 13.5 19.8 15.8
Manufactures 47.0 59.2 69.8 47.0 70.9 67.2 61.6 59.2
  Machinery & transport equip. 20.8 36.2 33.8 20.8 32.6 35.8 25.0 36.2
  Automotive products 2.1 2.7 7.1 2.1 10.4 12.7 8.2 3.7
  Chemicals 8.8 10.4 13.1 8.8 13.8 12.5 14.0 10.4
  Iron & steel 1.4 1.6 3.1 1.4 2.7 1.7 4.3 1.6
  Textiles 1.1 1.1 1.2 1.1 1.1 1.2 1.8 1.1
  Clothing 2.9 0.2 3.1 3.9 3.4 3.6 3.2 0.2
Others 1.6 2.8 3.6 1.6 0.5 1.7 1.6 2.8
◆Total 100 100 100 100 100 100 100 100

Import service (Details of ratio; %)

US Germany China UK Japan France Italy Canada
Transportation 21.6 23.2 34.0 19.4 29.9 28.5 23.5 23.5
Travel 21.9 29.1 30.6 29.4 16.5 16.5 25.3 33.2
Other services 56.5 47.6 35.3 51.2 53.7 53.7 51.3 43.2
◆Total 100 100 100 100 100 100 100 100
  • Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013
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6. GDP Comparison with major countries: ($100M) (主要国GDP比較)

Nominal GDP US China Japan Germany France UK Italy Canada
1996 78168 8218 46204 24385 15744 11949 12597 6138
1997 83043 9034 42338 21605 14256 13285 11924 6375
1998 87470 10452 38564 21844 14718 14340 12171 6168
1999 92684 10988 43686 21436 14575 14757 12008 6613
2000 98170 11928 46673 19002 13280 14538 10974 7242
2001 101280 13165 40954 18910 13398 14448 11173 7150

2002

106423 14538 39808 20098 14529 16145 12251 7360
2003 111422 16410 43030 24273 17933 18623 15154 8669
2004 118533 19316 46558 27179 20526 22025 17337 9917
2005 126230 22569 45719 27622 21242 22833 17872 11295
2006 133772 27129 43568 29038 22573 24481 18753 12688
2007 140387 34941 43563 33288 25832 28140 21269 14258
2008 142916 45195 48492 26190 28295 26572 23067 15018
2009 139389 49902 50352 32963 26203 21807 21106 13364
2010 145266 59305 54886 32740 25642 22631 20556 15740
2011 150940 72981 58686 35685 27727 24176 21974 17369

Real GDP Growth US China Japan Germany France UK Italy Canada
1996 3.7   3.4 0.8 1.0 2.8 1.0 1.6
1997 4.5   1.9 1.5 1.9 3.3 2.0 4.2
1998 4.2   -2.0 1.8 3.6 3.4 1.3 4.1
1999 4.8   -0.1 1.9 3.2 3.5 1.4 5.5
2000 4.1   2.9 3.5 4.1 3.9 3.9 5.2
2001 1.1 8.3 0.2 1.4 1,8 2.5 1.7 1.8

2002

1.8 9.1 0.3 0.0 0.9 2.4 0.4 2.8
2003 2.5 10.0 1.7 -0.4 0.9 3.8 0.0 2.0
2004 3.5 10.1 2.4 0.7 2.3 2.9 1.6 3.2
2005 3.1 10.4 1.3 0.8 1.8 2.8 1.1 3.1
2006 2.7 11.6 1.7 3.9 2.6 2.6 2.3 2.7
2007 1.9 14.2 2.2 3.4 2.2 3.6 1.5 2.1
2008 -0.3 9.6 -1.0 0.8 -0.2 -1.0 -1.2 1.1
2009 -3.1 9.2 -5.5 -5.4 -3.1 -4.0 -5.5 -2.8
2010 2.4 10.4 4.5 4.0 1.6 1.8 1.8 3.2
2011 1.8 9.2 -0.7 3.1 1.7 0.9 0.6 2.6
2012e 2.2   1.6 0.9 0.2 -0.1 -2.2 2.0
2013e 2.0   0.7 0.6 0.3 0.9 -1.0 1.8
2014e 2.8   0.8 1.9 1.3 1.6 0.6 2.4
  • Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013
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7. Foreign Exchange Reserves: $100M (外貨準備高)

Nominal GDP China Japan Germany Italy France US UK Canada
1996 1077 2179 920 713 572 751 454 206
1997 1434 2208 852 775 559 700 371 180
1998 1498 2167 843 546 742 818 373 235
1999 1583 2881 934 453 679 716 393 287
2000 1689 3560 875 472 637 677 430 324
2001 2187 3962 821 462 586 687 374 343

2002

2952 4696 891 556 617 790 410 372
2003 4122 6735 967 663 708 859 396 363
2004 6186 8447 972 624 774 869 443 345
2005 8256 8469 1017 660 744 651 436 330
2006 10726 8953 1116 758 982 659 470 351
2007 15344 9734 1362 943 1157 706 573 411
2008 19533 10306 1380 1053 1029 777 530 439
2009 24259 10494 1808 1328 1331 1308 667 544
2010 28759 10962 2165 1589 1662 1324 824 572
2011 32126 12958 2389 1733 1719 1480 945 658
  • Source: Foreign Trade, The Japan Trade Council, Inc., 2007-2013
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8. Official discount rates, etc.: % (公定歩合等推移)

  US $ EU € Japan ¥ UK £ Canada ¢ China RMB
1996 5.25   0.50 6.00 3.25 9.00
1997 5.50   0.50 7.25 4.50 8.55
1998 4.75   0.50 6.25 5.25 4.59
1999 5.50 3.00 0.50 5.50 4.75 3.24
2000 6.50 4.75 0.50 6.00 5.75 3.24
2001 1.75 3.25 0.10 4.00 2.25 3.24

2002

1.25 2.75 0.10 4.00 2.75 5.31
2003 1.00 2.00 0.10 3.75 2.75 5.31
2004 2.25 2.00 0.10 4.75 2.50 5.58
2005 4.25 2.25 0.10 4.50 3.25 5.58
2006 5.25 3.50 0.40 5.00 4.25 6.12
2007 0 - 0.25 4.00 0.75 5.50 4.25 7.47
2008 0 - 0.25 2.50 0.30 2.00 1.50 5.31
2009 0 - 0.25 1.00 0.30 0.50 0.25 5.31
2010 0 - 0.25 1.00 0.30 0.50 1.00 5.81
2011 0 - 0.25 1.00 0.30 0.50 1.00 6.56
  • Official Discount Rate (Japan); Federal Fund (US); Repo rate (UK); Main refinancing operation (EU), Overnight rate target (Canada)
>Top

9. Labor productivity (労働生産性, 2010): US$ ppp

1) Luxembourg 122782
2) Norway 110428
3) US 102903
I4) Ireland 97047
5) Belgium 91131
6) Italy 83444
7) France 81977
8) Austria 81884
9) Netherlands 81717
10) Australia 81506
11) Denmark 81479
15) Sweden 80523
13) Spain 80066
14) Finland 79730
15) Switzerland 79451
16) Germany  78585
17) Canada 77747
18) UK 77209
19) Israel 74114
20) Japan 68764
21) Greece 66349
22) Iceland 66216
23) New Zealand 59786
24) R. Korea 59488
  • Source: Japan Productivity Center, 2012

Labor productivity in manufacture: (製造業労働生産性, 2009): US$ ppp

1) US 132449
2) Norway 121951
3) Belgium 104368

4) Austria

99439
5) Netherlands 97868
6) Denmark 97577
7) Finland 95694
8) Sweden 89076
9) Luxembourg
88902
10) Japan 84097
11) Germany 76240
12) Spain 66385
13) Italy 63851
14) R. Korea 60489
15) Greece 59521
16) Slovenia 39118
17) Slovakia 30892
18) Czech 30186
19) Hungary 28462
20) Mexico 24386
21) Estonia 20377

 

>Top

10. IMD The World Competitiveness Scoreboard, 2013

2013 2012 Country Score
1 2 US 100000
2 3 Switzerland 93357
3 1 Hong Kong 92783
4 5 Sweden 90531
5 4 Singapore 89857
6 8 Norway 89585
7 6 Canada 89128
8 16 UAE 88439
9 9 Germany 86197
10 10 Qatar 85505
11 7 Taiwan 85193
12 13 Denmark 83514
13 12 Luxembourg 83305
14 11 Netherlands 83158
15 14 Malaysia 83145
16 15 Australia 80513
17 20 Ireland 79591
18 18 UK 79150
19 19 Israel 78210
20 17 Finland 78187
21 23 China 77040
22 22 R. Korea 75169
23 21 Austria 74711
24 27 Japan 74529
25 24 New Zealand 73942
26 25 Belgium 73133
27 30 Thailand 72966
28 29 France 71327
29 26 Iceland 69012
30 28 Chile 67994
  • Source: IMD, 2013, and World Economic Forum 2013

World Economic Forum: The Global Competitiveness

  GCI 2013-2014 GCI 2012-2013  
Country/Economy Rank Score Rank Change
Switzerland 1 5.67 1 0
Singapore 2 5.61 2 0
Finland 3 5.54 3 0
Germany 4 5.51 6 2
United States 5 5.48 7 2
Sweden 6 5.48 4 -2
Hong Kong SAR 7 5.47 9 2
Netherlands 8 5.42 5 -3
Japan 9 5.40 10 1
United Kingdom 10 5.37 8 -2
Norway 11 5.33 15 4
Taiwan, China 12 5.29 13 1
Qatar 13 5.24 11 -2
Canada 14 5.20 14 0
Denmark 15 5.18 12 -3
Austria 16 5.15 16 0
Belgium 17 5.13 17 0
New Zealand 18 5.11 23 5
United Arab Emirates 19 5.11 24 5
Saudi Arabia 20 5.10 18 -2
Australia 21 5.09 20 -1
Luxembourg 22 5.09 22 0
France 23 5.05 21 -2
Malaysia 24 5.03 25 1
Korea, Rep. 25 5.01 19 -6
Brunei 26 4.95 28 2
Israel 27 4.94 26 -1
Ireland 28 4.92 27 -1
China 29 4.84 29 0
Puerto Rico 30 4.67 31 1
Iceland 31 4.66 30 -1
Estonia 32 4.65 34 2
Oman 33 4.64 32 -1
Chile 34 4.61 33 -1
Spain 35 4.57 36 1
Kuwait 36 4.56 37 1
>Top

11. CIA The World Factbook:

Fundamentals US China Japan Germany France UK Italy Canada
Area: sq.km K 9827 9597 378 357 644 244 301 9985
Arable land: % 16 12 11 33 34 25 23 4
Population: M 317 1349 127 81 66 63 61 35
Median age: yr 37.2 36.3 45.8 45.7 40.6 40.3 44.2 41.5
Population growth:% 0.9 0.46 -0.1 -0.19 0.47 0.55 0.34 0.77
GDP ppp: $T 15.9 12.6 4.7 3.3 2.3 2.4 1.9 1.5
GDP real growth: % 2.2 7.8 2.0 0.7 0 0.2 -2.4 1.8
GDP ppp p-capita:K $ 51 9 37 40 36 38 31 43

Gross national saving:%

10 50 22 24 18 11 17 21
Labor force: M 155 799 66 44 30 32 26 19
Labor force, Industry:% 20 30 26 25 24 18 28 13
Unemployment: % 8.1 6.5 4.4 5.5 10.3 8 10.6 7.3
Gini index 45 47 38 27 33 40 32 32
Budge expenditure:$T 3.54 1.86 2.59 1.53 1.48 1.19 1.03 0.75
Public debt: % GDP 73 32 214 82 90 90 127 85
Inflation rate: % 2.1 2.6 0 2.1 2.2 2.8 3.3 1.5
C-bank discount rate:% 0.5 2.25 0.1 1.5 1.5 0.5 1.5 1.0
Current A/C bal: $B -487 214 85 208 -59 -58 -30 -60
External debt: $T 15.9 0.8 3.0 5.7 5.2 10.1 2.5 1.3
Ex rate: per $ 1 6.31 79.79 0.78 0.78 0.63 0.78 1.0
Electricity prod:B kW 4120 4940 936 558 539 353 303 581
Crude Oil prod:Mbbl/d 9.02 4.15 0 0.2 0 1.1 0.1 3.6
Ngas production:Bcu.m 651 108 3 12 0 47 8 160
Cellular:M 290 986 133 109 60 82 96 27
Airport >3k: 189 71 6 14 14 7 9 21
Gas pipeline: K km 1984 49 4 27 15 29 20 100
Railway: K km 224 86 27 42 30 16 20 47
Expressway: K km 75 85 8 13 11 4 7 17
  US China Japan Germany France UK Italy Canada
  • Source: CIA, The World Factbook, 2013

>Top

12. UN e-Government Ranking:

2012 2010 Score
1) R. Korea 1 0.9283
2) Netherlands 5 0.9125
3) UK 4 0.8960
4) Denmark 7 0.8889
5) US 2 0.8687
6) France 10 0.8635
7) Sweden 12 0.8599
8) Norway 6 0.8593
9)Finland 19 0.8505
  • Source: UN e-Government Development Database, 2013
 
>Top

13. User Trend for IT utilization:

Method of IT implementation:      
    Own development Custom made Package software Cloud computing
Production n=581 32.9 35.8 20.3 1.0
Inventory n=795 31.3 37.1 31.1 0.5
Logistics n=519 27.2 37.4 33.3 2.1
Procurement n=787 27.4 31.4 39.0 2.2
Sales n=1000 23.3 33.7 41.4 1.6
Internal info. sharing n=912 30.9 15.7 42.4 11.0
Design & development n=569 25.5 16.5 56.8 1.2
Personnel n=1420 10.2 11.7 77.0 1.1
Finance & accounting n=1003 6.0 12.5 79.7 1.7
Source: SME White Paper, 2013    

Use of Public Cloud services:        
<Mission critical system>   Using Preparing Considering Declined Not considered
Sales order n=999 3.1 1.1 8.8 11.5 75.5
Inventory n=992 2.6 1.1 8.9 11.0 76.4
Production n=987 1.9 0.9 6.5 10.5 80.1
Logistics n=983 2.6 0.9 6.9 9.8 79.8
CRM n=993 4.6 2.5 10.5 12.0 70.4
Accounting n=998 2.8 1.7 10.2 14.0 71.2
HRM, General n=1000 3.2 1.5 11.2 13.4 70.7
<Information system>   Using Preparing Considering Declined Not considered
Mail n=1008 25.2 5.6 22.4 14l.8 32.0
Collaboration, Scheduled n=1003 13.8 6.0 26.2 16.2 37.9
Web n=990 21.6 2.3 17.5 9.1 49.5

Use of Public Cloud service          
  Sales amount (¥100M) used testing
preparing
considering declined not considered
Mail sales <100 n=285 32.9 4.5 18.8 9.2 34.6
100 < sales <1000 n=470 23.4 3.8 23.6 16.2 33.0
1000 < sales < 10000 n=178 17.6 8.5 29.0 19.3 25.6
sales > 10000 n=40 15.0 22.5 7.5 22.5 32.5
Collab.
Sched.
sales <100 n=287 19.5 5.6 23.0 12.9 39.0
100 < sales <1000 n=470 10.6 5.3 26.6 17.7 39.8
1000 < sales < 10000 n=178 10.2 9.1 31.8 17.0 31.8
sales > 10000 n=40 15.0 7.5 20.0 22.5 35.0
Web sales <100 n=285 26.3 2.8 15.4 7.0 48.4
100 < sales <1000 n=466 20.6 2.4 18.2 10.3 48.5
1000 < sales < 10000 n=172 16.9 2.3 15.7 9.9 55.2
sales > 10000 n=38 18.4 0.0 18.4 10.5 52.6

Major reasons to use Public Cloud services    
Reasons #1 (n=971) #2 (n=967) #3 (n=956)
Cost 26.3 28.4 19.6
Reliability of the service vendor 23.4 16.5 13.8
Security policy 15.1 15.7 16.1
Data disappearance risk 14.7 9.1 10.9
Service function 9.7 13.5 13/6
Service time 6.2 9.0 8.7
Data integration with internal system 4.4 6.9 15.1
Time to start service 0.1 9.7 2.3

Use of Private Cloud system            
Sales amount (¥100M)
mostly use Data Center from IT-vendor,
but own the HW
used before
3 yrs
used in
3 yrs
testing
preparing
conside-ring declined not considered
2012 Total n=998 9.9 15.7 4.7 14.0 8.4 47.2
sales <100 n=285 4.2 11.2 3.9 12.3 9.1 59.3
100 < sales <1000 n=464 7.1 12.3 4.1 13.8 97 53.0
1000 < sales < 10000 n=188 19.8 27.1 8.5 18.1 4.5 22.0
sales > 10000 n=40 37.5 32.5 5.0 15.0 7.5 2.5
2011 Total n=1001 0 17.9 2.9 22.8 5.9 50.5
sales <100 n=264 0 12.5 1.5 18.2 5.3 62.5
100 < sales <1000 n=505 0 11.9 2.4 22.0 7.3 56.4
1000 < sales < 10000 n=187 0 30.5 5.3 33.2 3.7 27.3
sales > 10000 n=45 0 64.4 6.7 15.6 2.2 11.1

Use of IaaS (Infrastructure as a Service) / PaaS (Platform as a Service)
    already
used
testing
preparing
considering declined
IaaS 2012 FY n=955 11.1 3.4 17.6 11.1
2011 FY n=1005 8.4 2.4 25.1 7.8
2010 FY n=1124 4.3 1.2 23.9 NA
2009 FY n=964 1.1 0.0 11.4 NA
PaaS 2012 FY n=958 10.8 3.2 18.6 10.5
2011 FY n=1005 8.1 2.6 26.6 7.3
2010 FY n=1122 3.4 1.5 23.8 NA
2009 FY n=966 1.3 1.3 12.1 NA

Use of Smart phone / Smart tablet          
    already
used
testing
preparing
considering declined not considering
Smart phone 2012 FY n=1015 28.0 1.23 19.3 9.5 30.9
2011 FY n=1011 19.0 16.1 29.7 4.7 30.5
2010 FY n=1124 11.3 12.7 25.3   50.7
Smart tablet 2012 FY n=1004 27.0 19.0 21.6 3.5 26.9
2011 FY n=1010 13.8 19.9 32.2 4.4 29,8
2010 FY n=1122 6.2 11.8 26.4   55.6

Use of Smart phone / Smart tablet          
  Sales amount (¥100M) already
used
testing
preparing
considering declined not considered
Smart phone sales <100 n=292 28.4 8.2 16.1 11.0 36.3
100 < sales <1000 n=471 22.9 10.6 21.9 10.8 33.8
1000 < sales < 10000 n=177 32.2 20.3 19.8 6.2 21.5
sales > 10000 n=42 50.0 23.8 14.3 2.4 9.5
Smart tablet sales <100 n=290 26.9 13.4 19.0 6.2 34.5
100 < sales <1000 n=485 21.9 18.9 23.9 6.0 29.2
1000 < sales < 10000 n=174 31.0 25.3 23.0 4.6 16.1
sales > 10000 n=42 59.5 31.0 10.0 0.0 2.4

Business use of BYOD (Bring Your Own Device) or Private contract service    
      allowed partially allowed not allowed but considering exception not allowed no such rule
BYOD n=997 3.7 12.3 20.0 45.1 18.9
Cloud service for consumer n=996 1.4 5.8 11.2 54.2 27.3
SNS n=996 4.8 10.3 11.3 40.6 32.9

Allowance of use of BYOD
(¥100M)
allowed partially allowed not allowed but considering exception not allowed no such rule
sales <100 n=287 4.9 14.6 15.3 39.4 25.8
100 < sales <1000 n=459 2.0 10.0 18.1 52.5 17.4
1000 < sales < 10000 n=177 4.5 14.1 28.2 37.9 15.3
sales > 10000 n=41 14.6 14.6 31.7 34.1 4.9

Change of Business Process
(¥100M)
Explicit &
functioned
Explicit &
piratically functioned
Explicit, but
ambiguous
Explicit, but
not functioned
Implicit Not known
Total n=986 7.1 36.8 7.9 7.9 35.3 5.0
sales <100 n=292 4.1 24.3 7.9 8.6 47.3 7.9
100 < sales <1000 n=474 7.0 36.3 9.9 7.4 35.0 4.4
1000 < sales < 10000 n=179 8.9 52.5 4.5 9.5 21.8 2.8
sales > 10000 n=41 22.0 63.4 0.0 2.4 12.2 0.0

Change of Business Model
(¥100M)
Explicit &
functioned
Explicit &
piratically functioned
Explicit, but
ambiguous
Explicit, but
not functioned
Implicit Not known
Total n=986 3.1 18.2 8.2 11.5 53.2 5.8
sales <100 n=292 2.1 14.4 7.5 10.3 56.8 8.9
100 < sales <1000 n=474 3.4 18.8 9.7 10.3 53.0 4.9
1000 < sales < 10000 n=179 2.2 20.7 6.1 14.5 52.5 3.9
sales > 10000 n=41 12.2 26.8 4.9 19.5 34.1 2.4

Change of Business Process

Explicit &
functioned
Explicit &
piratically functioned
Explicit, but
ambiguous
Explicit, but
not functioned
Implicit Not known
B2B n=986 6.6 34.9 7.8 9.3 37.0 4.3
B2C n=292 3.2 27.6 8.1 5.2 32.9 6.9
B2B and B2C n=474 7.7 43.4 7.1 5.6 31.1 5.1
Others n=179 7.7 23.1 11.5 7.7 42.3 7.7

Change of Business Model

Explicit &
functioned
Explicit &
piratically functioned
Explicit, but
ambiguous
Explicit, but
not functioned
Implicit Not known
B2B n=986 1.8 15.8 8.3 12.1 56.8 5.1
B2C n=292 5.8 24.3 7.5 8.9 48.6 6.9
B2B and B2C n=474 5.1 19.9 7.7 14.3 46.4 6.6
Others n=179 7.7 15.4 11.5 7.7 50.0 7.7

Cross-divisional collaboration    
Reasons #1 (n=957) #2 (n=947) #3 (n=908)
Top management & IT division 39.2 10.5 9.3
Internal divisions & IT division 18.7 25.6 13.4
Enterprise optimization 15.3 22.2 16.5
IT expert of BPM/Business Model 8.6 9.5 16.2
Influence of IT division 7.0 9.9 13.0
Experience of BPM/Business Model 4.1 9.9 7.3
IT environment 2.3 4.0 13.0
Strength as an information node 2.0 3.4 4.7
Understand of advanced technology 1.4 2.7 3.6
IT matters for own products & service 1.1 1.9 3.0
Others 0.5 0.5 0.0

How to promote Business Innovation

1 Grasp actual situation and visualize it.
2 Change mindset.
3 Have regular meetings and effective communications.
4 Establish particular organization and assign the task.
5 Establish clear report line
6 Establish ad hoc team involving top management
7 Collaborate between existing organizations
8 Establish a project
9 Reconsider from upper or ultra-upper stream
10 Cultivate appropriate personal resources
  • <Point of issues:>
    • Commitment of CEO
    • Ad hoc or permanent organization
    • by internal resources or external ones
    • Utilize particular skill or methodology
    • Reference of the best practice
    • Improve for the best practice, or establish as a good practice
IT Investment DI (Diffusion Index)      
n=358 Increase
>+10%
Increase
<10$
Unchanged Decrease
<-10%
Decrease
>-10%
2013e 23.2 15.4 27.1 14.8 19.6
2012 29.9 11.7 18.4 18.4 21.5
2011 28.5 14.5 21.2 14.8 20.9

IT Budget vs. Sales Amount    
Category   2010 2011 2012
Total n=314 1.19 1.20 1.17
Civil engineering & construction n=26 0.42 0.48 0.38
Raw material manufacture n=70 0.73 0.67 0.72
Machinery & equipment manufacture n=78 0.93 0.95 0.98
Trade & logistics n=58 0.66 0.61 0.64
Finance n=16 5.36 4.94 4.94
Social infrastructure n=20 1.27 1.20 1.29
Services n=46 1.97 2.29 1.96

Corporate issues to be solved by IT #1 (n=1005) #2 (n=1002) #3 (n=980) #1x2+
#2x1.5+#3
1) Efficiency of Business Process 19.2 18.3 11.9 77.8
2) Real time Management 20.8 8.4 10.0 64.2
3) Cost reduction of IT development & operation 8.8 8.1 8.7 38.5
4) Empower sales ability 7.9 9.5 6.8 36.9
5) Improve Business Process (less errors) 4.6 8.5 9.9 31.9
6) Respond to Globalization 8.1 6.5 4.8 30.8
7) Agility of Business Process (minimize lead time) 4.1 8.1 7.2 27.6
8) Strengthen internal communication 3.8 6.2 7.6 24.5
9) Business Continuity Planning 2.6 5.0 11.8 24.5
10) Improve CRM 5.9 4.1 2.8 20.8
11) Differentiation of product & service 4.7 3.2 4.4 18.6
12) Change of Business Model 4.3 4.1 2.8 17.6
13) Cross-enterprise collaboration 2.5 4.2 3.8 15.1
14) Improve CSR 1.7 4.1 2.8 12.4
15) Corporate Transparency (Internal Control) 1.0 1.9 4.7 9.6

Corporate issues to be solved by IT Sales
>1T
(n=42)
Sales
100B -1T
(n=179)
Sales
10-100B
(n=486 )
Sales
<10B
(n=287 )
1) Respond to Globalization 11.9 17.3 7.3 3.5
2) Empower sales ability 7.1 9.5 7.7 7.0
3) Improve CRM 2.4 6.1 6.9 4.9
4) Differentiation of product & service 7.1 7.8 3.2 4.9
5) Change of Business Model 14.3 4.5 3.2 4.5
6) Cross-enterprise collaboration 4.8 3.4 3.0 1.0
7) Real time Management 16.7 15.6 21.2 23.7
8) Efficiency of Business Process 9.5 17.9 21.2 18.1
9) Cost reduce of IT development & operation 11.9 7.3 8.4 9.1
10) Agility of Business Process (minimize lead time) 0.0 2.8 4.9 7.0
11) Strengthen internal communication 9.5 2.8 4.1 4.5
12) Business Continuity Planning 0.0 3.4 3.2 4.9
13) Cross-industrial collaboration 0.0 1.1 2.8 3.5
14) Improve CSR 4.8 0.0 1.5 2.4
15) Corporate Transparency (Internal Control) 0.0 0.6 1.3 1.0

Aggressive or Defensive IT Investment #1 #2 #3 #1x2+
#2x1.5+#3
1) SFA/CRM 16.3 11.7 8.5 58.7
2) Production/Inventory Management 17.4 10.2 5.9 56.0
3) Sales Management 14.9 11.1 4.9 51.4
4) Management Information System 12.4 9.5 8.7 47.8
5) Groupware/Internal Portal 5.6 9.6 12.1 37.7
6) Server  Environment 7.6 7.9 9.7 36.8
7) Security 4.6 10.8 10.0 35.4
8) BCP 4.8 6.6 14.2 33.7
9) Financial Accounting 6.1 6.6 4.7 26.8
10) Network Infrastructure 3.4 5.8 8.7 24.2
11) Design & Development Support 2.5 4.3 3.5 15.0
12) Internal Control 1.2 4.9 4.9 14.7
13) e-Commerce (Sales) 2.6 2.7 1.4 10.7
14) Procurement Management 0.6 1.0 2.0 4.7
15) e-Commerce (Procurement) 0.4 0.3 0.8 2.1

  • Source: JUAS report, 2013, expression modified
Human Resources for IT utilization in SME Fully sufficient mostly
sufficient

insufficient

Very insufficient
1) SME composed of mostly young ages 10.5 34.2 30.9 24.3
2) SME composed of all ages 4.9 31.0 33.2 31.0
3) SME composed of mostly middle ages 4.5 25.0 38.7 31.8
4) SME composed of mostly senior ages 2.7 21.2 31.3 44.9
5) SME composed of less middle ages 3.6 15.8 43.0 37.6
Source: SME White Paper, 2013        

Issues to promote IT utilization in SME Middle-sized SME
n=1245
Small-sized SME
n=731
Small-sized SME (Age segment.)
40's
or less
n=170
50's
n=225
60's
n=231
70's or more
n=105
1) Burden of IT expenses 48.6 36.7 41.2 24.2 40.7 25.7
2) Lack of IT-related human resource 42.0 31.1 32.4 27.6 31.6 35.2
3) Lack of IT literacy of all staff 36.9 24.2 22.9 20.4 27.7 26.7
4) Doubt of cost effectiveness of IT utilization 34.8 25.7 25.9 27.1 24.7 24.8
5) Unawareness of top management about IT 19.3 28.6 23.5 27.1 31.2 34.3
6) Uncertain of IT security measures 27.0 15.5 11.2 18.2 18.6 9.5
5) No appropriate IT advisers 14.8 19.4 15.3 18.7 22.1 21.9
Source: SME White Paper, 2013            

What SME's directors do to enhance their IT utilization? Middle-sized SME
n=856
Small-sized SME
n=424
1) Self-education 42.6 57.2
2) Participation to seminars and lectures 48.9 40.1
3) Learning from employee, family and friends 23.7 31.6
4) Participation to outside workshop 22.4 19.1
5) Getting advice from consultant 19.7 14.4
6) Visit or reference to the advanced cases 17.1 16.7
Source: SME White Paper, 2013    

How to have reviewed BPM in SME? Middle-sized SME
n=714
Small-sized SME
n=218
1) Key staff who knows the business process mostly promoted. 53.1 39.0
2) Top management by themselves promoted 31.1 47.2
3) Clarified the goal of IT implementation 25.1 23.4
4) Performed internal hearings about IT implementation 32.6 13.8
5) Performed visualization of business process and information flow. 25.1 18.8
6) Shared information internally about the goal of IT implementation 23.9 19.7
7) Shared information with IT Service Vendor. 18.8 10.1
8) Utilized outside consultant. 16.9 7.3
9) Arranged business manuals. 12.7 10.1
6) Performed hearings from business partners. 3.2 6.4
Source: SME White Paper, 2013    

Why have not reviewed BPM in SME? Middle-sized SME
n=232
Small-sized SME
n=208
1) No appropriate staff who can promote BPM 56.0 49.0
2) Lack of IT knowledge to promote BPM 42.7 50.0
3) Could to afford the cost of BPM review. 27.6 26.4
4) Insufficient capability of the consultant to review BPM 21.6 28.8
5) Unclear vision of corporate management 17.2 11.1
6) Could not visualize business & information flow 12.9 7.7
7) Avoid of internal confusion due to review of BPM 13.4 6.7
8) No consensus or coordination among business units 9.5 1.0
1.09) Persistent resistance from the working site 4.7

1.1

10) No consensus or coordination with outside business partners 1.7 1.9
Source: SME White Paper, 2013    

IT Security troubles in SME SME
n=993
1) System crash 57.3
2) Infection of computer virus 48.6
3) Collapse or loss of information 24.9
4) Stole or loss of PC 8.8
5) Unauthorized access 5.9
6) Slander or calumny on the web 5.7
7) Leak of information 4.2
8) Falsification of data 0.9
Kind of counter measures in SME  
1) Virus Wactine software 93.5
2) Data backup 67.1
3) Firewall 38.7
4) Access control to the internal systems 28.3
5) Clarificationof security policy 21.1
6) Special section for security policy 19.3
7) Education for information security 18.2
8) Record of access log 16.6
9) Dual systems of critical information 13.2
Source: SME White Paper, 2013  

IT Utilization Ratio in SME (%)          
    Finance
Accounting
Personnel Sales Info.
sharing
Design
Develop.
Procure. Inventory Manufacture Logistics
IT Info Service n=256 86.6 82.3 57.0 79.3 58.3 38.6 34.4 35.7 26.7
Manufacture n=149 76.1 70.7 62.5 46.9 41.2 53.7 54.4 40.0 39.2
Construction n=899 78.1 74.4 27.0 50.2 49.0 33.3 26.4 28.8 19.1
Transportation n=182 73.6 73.9 43.8 33.8 11.5 24.8 42.6 12.1 45.6
Wholesales/Retail n=194 68.0 56.0 63.2 39.8 20.2 51.1 52.1 19.5 34.1
Hotel/Restaurant n=42 66.7 61l0 54.5 34.3 5.0 16.1 29.4 4.5 13.6
Other services n=187 79.1 75.5 54.2 57.9 31.5 34.8 32.3 17.2 22.5
Others n=x124 75.8 65.8 49.0 51.3 35.7 30.4 40.4 30.0 32.9
Source: SME White Paper, 2013            

Who is responsible in IT implementation/utilization in SME (%)    
    Representative Director

Director

GM Section Manager Others No
PIC
IT Info Service n=149 43.0 23.5 20.8 6.0 3.4 3.4
Manufacture n=878 35.2 24.4 11.6 11.8 7.3 9.7
Construction n=258 26.7 21.3 15.5 12.0 10.5 14.0
Transportation n=183 39.3 23.0 9.8 10.9 3.8 13.1
Wholesales/Retail n=188 41.0 17.6 8.5 9.0 10.6 13.3
Hotel/Restaurant n=43 32.6 25.6 7.0 11.6 16.3 7.0
Other services n=118 36.5 19.6 13.2 12.7 10.1 7.9
Others n=x124 30.5 21.2 17.8 6.8 11.0 12.7
Source: SME White Paper, 2013      
>Top

14. IT Service Vendor status-quo:

Sales & Employee of IT Service Industry          
Year Sales amount (¥100M) include Internet related services # of Employee include Internet related Sales per staff      
Software IT Service Internet related

2002

139731   569823   2452 2781 1935 -
2003 141706   567467   2497 2568 2389 -
2004 145271   569542   2551 2721 2299  
2005 145560   573778   2537 2703 2290  
2006 188952   820723   2302 2423 2031  
2007 188261   786677   2393 2446 2272  
2008 206307 7853 879461 21584 2346 2394 2105 3638
2009 214953 12688 959193 42211 2241 2228 2143 3006
2010 188437 12294 912284 39397 2066 2062 1896 3120
2011 192834 12619 945753 35495 2039 2097 1388 3555

IT Service Industry Profitability (1)      
Sales growth
expect next year
(売上高増加予測)

Labor cost
per sales
(労務費/売上高)

Outsource
per sales
(外注費/売上高)
Operating profit
per sales
(営業利益/売上高)
Current profit
per sales
(経常利益/売上高)

x <-30%

7 x <10% 2 x <10% 78 x <-6% 5 3
-30%≦ x<-20% 3 10%≦ x <20% 18 10%≦ x <20% 72 -6%≦ x <-4% 5 4
-20%≦ x<-10% 14 20%≦ x <30% 36 20%≦ x <30% 94 -4%≦ x <-2% 4 5

-10%≦ x<0%

57 30%≦ x <40% 56 30%≦ x <40% 61 -2%≦ x <0% 12 7
0%≦ x<10% 164 40%≦ x <50% 77 40%≦ x <50% 19 0%≦ x <2% 91 89
10%≦ x<20% 45 50%≦ x <60% 59 50%≦ x 16 2%≦ x <4% 89 88
20%≦ x<30% 8 60%≦ x <70% 52     4%≦ x <6% 72 70
30%≦ x 14 70%≦ x <80% 31     6%≦ x <8% 39 46
    80%≦ x 10     8%≦ x <10% 20 20
Unknown 57 Unknown 28 Unknown 29 10%≦ x <12% 14 15
Total 369 Total 369 Total 369 12%≦ x 13 16
            Unknown 5 6
            Total 369 269
Weight Av. 4.53% Weight Av. 33.08% Weight Av. 31.46% Weight Av. 5.53% 6.05%
Median 3.39% Median 47.64% Median 22.49% Median 3.42% 3.54%

IT Service Industry Profitability (2)      
Plant/equipment Investment per sales
(設備投資/売上高)
IT Investment
per sales
(IT投資/売上高)
R&D
per sales
(R&D投資/売上高)
Education investment
per sales
(教育投資/売上高)

x< 0.5%

105 125 223

x< 0.5%

257
0.5% ≦ x< 1% 58 44 24 0.5% ≦ x< 1% 47
1% ≦ x< 2% 47 44 23 1% ≦ x< 2% 11

2% ≦ x< 4%

53 33 6

2% ≦ x< 3%

4
4% ≦ x< 6% 23 15 5 3% ≦ x<4% 1
6% ≦ x< 8% 6 2 2 4% ≦ x <5% 0
8% ≦ x< 10% 4 0 0 5% ≦ x< 6% 0
10% ≦ x 24 14 7 6% ≦ x 0
Unknown 49 92 79 Unknown 49
Total 369 369 369 Total 369
Weight Av. 7.08% 3.90% 0.87% Weight Av. 0.39%
Median 0.98% 0.64% 0.02% Median 0.23%

IT Service Industry Employee          
  Employee  
  Male Female Total Labor condition

# of Staff

236319 52830 289149

Labor hour/y

    1887
Av. # per company 640 143 784 Pay
Ratio 81.7 18.3 100   per month bonus per year

Av. age

38.9 24l4 38 Age 25 229219 697823 3448456
      5

Age 30

267492 865876 4075780
<include Managers>2 Age 35 314162 1052553 4822503

# of Managers

49070 1819 50 (exclude overtime allowance)
Av. # per company 133 5 138        
Ratio 96.4 3.6 100        

Av. age

49 92 79        
  • Source: METI/JISA IT Service Industry Research, 2013
IT Service Vender: Sales Segmentation Custom SW 2010FY 2011FY
1) Custom Software Development 45;9 41.0
2) System Operation Service 14.7 17.4
3) Technical staff dispatching

12.3 10.3
4) Package Software Development   4.1 6.0
5) Software Maintenance 6.1 5.8
6) Hardware Sales   4.5 4.7
7) IT Service   2.9 4.5
8) BPO   2.5 1.5
9) Others   6.9 8.9

Market Forecast User IT Service Vendor
will increase
unchanged will
decrease
will
increase
unchanged will
decrease
Custom Software Development 17.8 34.7 47.5 34.8 37.7 27.5
  n=118 n=138
Package Software Utilization 44.9 41.5 13.6 61.3 34.4 4.3
  n=118 n=93
IT Service (SaaS/Cloud) 75.0 25.0 0.0 88.3 10.4 1.3
  n=108 n=77

Globalization of IT Service Vendor        
  Sales amount (¥100M) Global-oriented
with policy
Global-oriented
without policy
Domestic -oriented
without policy
Domestic-oriented
with policy
Year 2011FY n=144 22.2 14.6 22.2 41.0
2010FY n=163 22.7 17.8 27.0 32.5
Size Total n=139 22.3 14.4 22.3 41.0
Staff >=500 n=63 31.7 15.9 14.3 38.1
Staff <500 n=76 14.5 13.2 28.9 43.4

Global Business of IT Service Vendor Service to Global Companies
in Global market
Acquire of Sales knowhow/personnel
for Global service
Service to Expatriate Companies Service to Domestic Companies in Japan No specific policy
in globalization
AsIs 2011FY n=53 1.9 26.4 47.2 24.5 -
2010FY n=63 3.2 15.9 46.0 34.9 -
ToBe 2011FY n=52 46,2 11.5 36.5 1.9 3.8
2010FY n=62 45.2 9.7 40.3 0.0 4.8

Globalization policy of User or IT Service Vendor        
  Category Service to Global Companies
in Global market
Acquire of Sales knowhow/personnel
for Global service
Service to Expatriate Companies Service to Domestic Companies in Japan No specific policy
in globalization
AsIs User n=72 4.2 19.4 16.7 59.7 0.0
IT Vendor n=138 1.9 26.4 47.2 24.5 0.0
ToBe User n=71 26.8 22.5 32.4 18.3 0.0
IT Vendor n=141 46.2 11.5 36.5 1.9 3.8

How to acquire business knowledge      
  Category Learning from customers Accumulating from particular cases Accumulation from general knowledge Establishing standard/best practice knowhow No specific activities
AsIs User n=126 35.7 20.6 38.9 4.8 -
IT Vendor n=147 12.9 43.5 34.0 9.5 -
ToBe User n=126 7.9 5.6 31.0 55.6 -
IT Vendor n=149 1.3 11.4 28.2 49.7 3.8

How to establish business partnership        
  Category Contribution for Business issues Cooperation for establishing IT Strategy Though
some kind of performance
By
product/service
delivery
By
manpower
delivery
No specific activities
AsIs User n=126 4.8 21.4 14.3 27.8 31.7 -
IT Vendor n=147 5.4 16.2 2.0 53.4 23.0 -
ToBe User n=126 21.3 37.8 15.7 17.3 7.9 -
IT Vendor n=149 30.2 34.9 12.8 14.1 2.7 5.4

Awareness of change of IT Service Vendor    
Class Category Seriously recognized Recognized Somewhat recognized Not recognized
Top mgmt Staff # >500 n=64 85.9 12.5 0.0 1.6
Staff # <500 n= 67.5 26.3 1.3 5.0
Director Staff # >500 n= 70.3 26.6 1.6 1.6
Staff # <500 n= 53.8 43.8 1.3 1.3
Middle manager Staff # >500 n= 25.0 65.6 9.4 0.0
Staff # <500 n= 12.5 71.3 15.0 1.3
Staff Staff # >500 n= 6.3 50.0 40.6 3.1
Staff # <500 n= 1.3 32.5 53.8 12.6
Total trend Staff # >500 n=126 7.8 59.4 32.8 0.0
Staff # <500 n=147 2.5 51.9 41.8 3.8
  • Source: IT Service Industry Japan, 2013
Comment
  • Graph expression is easier to grasp the trend, but is not accurate; while the chart is accurate but difficult to understand.
  • It it more important to update the chart by the latest information.
  • The value of estimate is evaluated by the later data.
  • Statistics looks cool like ice, which will be melted and used.
  • グラフ表現は傾向を掴みやすいが正確ではない。一方で表は正確だが理解し難い。
  • 最新の情報によって表を更新するのはもっと重要である。
  • 予測値の価値は、後のデータで検証される。
  • 統計はクールで氷のようである。いずれ解凍して利用される。

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