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Automation Statistics 94.1 Automation Statistics 1675

2010

2003

23.6

53.9

22.5

2004

25.3

51.3

23.4

2005

27.5

47.3

25.2

2006

30.1

42.6

27.3

2007

31.7

39.3

2008

31.8

37.6

30.6

2009

32.2 33.4

31.8

2010

32.1

34.5

2011

33.1

2012

31.7

33.2

35.2

a) Share personal consumption (%)

Year

Cards

Electronic

Paper

2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

b) (Billions)

Year

Check

ACH

Cash

Check

Money order

Credit card

PIN-loss debit

Debit card (Sig)

ACH

00 03 06 00 06

Japan

European

Monetary

Union

00 0603

United

Kingdom

00 0603

Canada

00 0603

United

States

c) Number per capita

350

300

250

200

150

100

Check

Electronic

Fig. 94.2a–c e-Commerce payments.

(a) Estimated share of US personal

consumption by credit cards, elec-

tronic payments, and paper from

2003–2012 (projected) (source: US

Department of Commerce, US Cen-

sus Bureau), note: paper includes

cash, check, money orders, etc. Cards

includes both credit and debit pur-

chase volume. Electronic includes

pre-authorized, recurring payments,

payments made via telephone, and

payments initiated via the Internet

(b) Total Numberof consumerto busi-

ness recurring payments by industry

in the US from 2002 to 2010 in US$

(source: Celent and Bearing Point

Analysis)

per-capita in ﬁve selected economies

in 2000, 2003 and 2006. The Euro-

pean Monetary Union is made up of

Austria, Belgium, Finland, France,

Germany, Greece, Ireland, Italy, Lux-

emburg, The Netherlands, Portugal,

and Spain. Cyprus, Malta, and Slove-

nia joined the EMU after 2006 and

were not included in calculations

(sources: European Central Bank

(2007), Bank for International Settle-

ments (2008), Federal Reserve Board)

Part J 94.1

1676 Part J Appendix

1998 1999 2000 2001 2002 2003 2004 2005 2006

Durable goods

Nondurable goods

Total merchant wholesale trade

Billions of US$

Year

700

600

500

400

300

200

100

Fig. 94.3 Merchant wholesale trade

e-Commerce sales in the US: 1998–

2006 (source: US Census Bureau)

2000

282.2

2001

285.1

2002

287.9

2003

290.4

2004

293.2

2005

295.9

2006

298.8

2007

301.6

2008

304.5

2009

307.4

2010

310.4

2011

313.3

2012

316.3

US$

Year

20000

18000

16000

14000

12000

10000

8000

6000

4000

2000

400

350

300

250

200

150

100

Retail sales per capita

e-commerce retail sales per capita

Total population

Fig. 94.4 Retail sales per capita

and e-Commerce retail sales per

capita from 2000 to 2012 (pro-

jected) (source: US Department

of Commerce, US Census Bureau

(2000–2007); population growth es-

timated by Cogitamus Consulting;

sales per capita ﬁgures estimated by

Package Facts)

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006

Number of ATMs

Year

450000

324000

273000

227000

187000

165000

139134

352000

395000

396000

383000

371000

Fig. 94.5 Number ofautomated teller

machines (AT Ms) in the US from

1996 through 2006 (source: American

Bankers Association, 2007 AT M Fact

Sheet, with permission)

Part J 94.1

Automation Statistics 94.1 Automation Statistics 1677

94.1.2 Industrial Automation

2007

2006

2005

0 5 10 15 20 25 30 35 40

Units (×10

)

Central/

Eastern Europe

Spain

Taiwan

France

Canada

Italy

China

Rep. Korea

Germany

USA

Japan

2007

2006

1973

1983

1990

454

1995

605

2000

750

2005

923

2007

994

2011

1186

a) Units (×10

)

Year

1200

1000

800

600

400

200

010

+9%

+15%

–4%

20 30 40 50 60 70 80

Units (×10

)

Asia/

Australia

Europe

Americas

Fig. 94.6 Figures (a–d) illustrate

growth in industrial automation.

(a) Estimated and projected world-

wide operational stock of industrial

robots.

(b) Estimated yearly supply

of industrial robots by regions of the

world from 2005 to 2007.

timated yearly supply of industrial

robots by selected countries (source:

World Robotics, 2008)

Part J 94.1

1678 Part J Appendix

0123456789

Units (×10

)

Communication

Basic metal

Electrical/electronics

Nonmetallic

Machinery (industrial

and consumer)

Food

Metal products

Automotive parts

Chemical, rubber

and plastics

Motor vehicles

2007

2006

Fig. 94.6 (d) Estimated yearlysupply

of industrial robots in Europe by robot

implementation areas (source: World

Robotics, 2008)

Up to end 2007

New installations

2008–2011

0 5 10 15 20

Number of units (×10

)

All others

Logistic

Medical

Mobile robot

platforms

Field

Construction/

demolition

Defense, rescue,

security

Cleaning

Underwater

Fig. 94.7 Current and projected installations and stock of

service robots forprofessional useup to2006 andprojected

sales for the period 2008–2011 (source: World Robotics,

2008)

11.1

7.2

2000

2010

US$ (×10

)

Total

94.2

61.3

7.4

4.1

12.2

8.8

30.3

15.5

10.9

Environmental

sectors

Power plants

Process industries

Basic industries

Raw materials

10 20 30 40 50 60 70 80 90 100

Fig. 94.9a–c Development of pro-

cess automation market

(a) by

industries for the year 2000 and pro-

jected for 2010 (source: N. Schroeder

Process Automation Markets 2010

– Important Findings of the New

International Market, Strategy, and

Technology Report, Intechno Con-

sulting (2003))

EU 24 without

Germany 21%

Germany 10%

Japan 11%

Others 26%

USA 32%

Fig. 94.8 Process automation in the world (source: ZVEI,

Zentralverband Elektrotechnik- und Elektronikindustrie

e.V., Frankfurt)

Part J 94.1

Automation Statistics 94.1 Automation Statistics 1679

Western

Europe 25.9%

Eastern

Europe

4.9%

South

America

4.9%

Rest of the

World 3.7%

Asia-Pacific

27.6%

North America 33 %

Western

Europe 27.5%

Eastern

Europe

4.5%

South

America

4.4%

Rest of the

World 3.2%

Asia-Pacific

25.2%

North America 35.3 %

2000

US$ 61.3 ×10

2010

US$ 94.2 ×10

Hardware control

level 23.8%

Hardware field level 36.9

Engineering

13.9%

Installation,

start-up

9.6%

Maintenance

11.1%

Standard

software 4.7%

Hardware control

level 20.5%

Hardware field level 36.7%

Engineering

15.5%

Installation,

start-up

10.8%

Maintenance

11%

Standard

software 5.4%

Fig. 94.9 Development of process automation market (b) by regions, and (c) by products and services for the year

2000 and projected for 2010 (source: N. Schroeder Process Automation Markets 2010 – Important Findings of the New

International Market, Strategy, and Technology Report, Intechno Consulting (2003))

2000 2001

1471014710

2002

14710

2003

14710

2004

14710

2005

14710

2006

14710

2007

14710

2008

14710

2009

Taiwan/China

Europe

Japan

USA

12 rate of growth in local currency

Year

1.6

1.5

1.4

1.3

1.2

1.1

0.9

0.8

0.7

0.6

Fig. 94.10 Global electronic equipment shipment growth (2000–2009) (source: MarketEye: Overview: 2008 Global

Electronic Food Chain Performance with Guidance for 2009 (http://www.ttiinc.com/object/me_custer_20090223.html))

Part J 94.1

1680 Part J Appendix

94.1.3 Automation in Service

and the Healthcare Industry

Korea

Iceland

Netherlands

Denmark

Japan

Norway

Sweden

Finland

Luxembourg

United Kingdom

Belgium

Canada

United States

Germany

Austria

Australia

EU25

France

Spain

New Zealand

Hungary

Ireland

Poland

Portugal

Czech Republic

Slovak Republic

Italy

Greece

Mexico

Turkey

a) % of households

2003 2004 2005 2006 2007

b) Strong growth in ADSL

ADSL connections per 100 inhabitants

Year

2007

2005

2003

Fig. 94.11 (a) Households’ access to broadband Internet, 2003–2007 (source: OECD Information Technology

Outlook 2008 Highlights)

(b) Asymmetric digital subscriber line (ADSL) connections per 100 inhabitants

(http://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/PROD0000000000198220.pdf)

Part J 94.1

Automation Statistics 94.1 Automation Statistics 1681

0 10203040

Other 8

Prescription refills 2

Lottery 3

Bill payment 3

Preorder 4

Photo/Imaging 8

Price checker/Product information 11

Gift registry 11

Entertainment/Gaming 11

Airline boarding passes 14

Job recruitment 15

Financial services/ATM 17

Internet access/Web surfing 18

Food ordering 22

Check-in/Check-out 22

Customer information/Point of

information

Employee self-service 23

Point-of-sale (POS)/Self-checkout 27

Fig. 94.12 Types of automated kiosks for cus-

tomer transactions by percentage (source: Seventh

Annual Kiosk Benchmark Study, Edgell Commu-

nications, Randolph)

Germany

Rest of EU15

2004

0.3

0.1

2005

0.7

0.2

2006

1.1

0.3

2007

1.6

0.5

2008

0.6

a) Number of RFID tags in retail segment (×10

)

Year

2.5

1.5

0.5

0 5 10 15 20 25 30 35

b) Transport is the biggest application area

RFID by field of application; % of projects covered by the survey

Transport

Production

management

Product

information

Access control

Loyalty cards/

payments

Leisure/

household

Health care

Public service

n = 493 companies in Germany

2006 2008

Average growth

+25% p.a.

2011 2016

c) Huge potential unfolding

RFID revenues, worldwide (EUR bn)

Year

Fig. 94.13a–c Role of RFID (a) Number of RFID tags in the retail segment in millions (source: RFID

chips are on everyone’s lips) (source: VDC, 2005; http://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/

PROD0000000000204263.pdf)

(b) RFID by ﬁeld of application; % of projects covered by survey in Germany (source:

IIG Freiburg and http://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/PROD0000000000236797.pdf)

PROD/DBR_INTERNET_EN-PROD/PROD0000000000236797.pdf))

Part J 94.1

1682 Part J Appendix

94.1.4 Service Automation

0 102030405060708090100

2007

2006

2005

Implement an EMR

Reduce medical errors/

Promote patient safety

Connecting IT at hospital

and remote locations

Process/Workflow redesign

Implement wireless systems

Replace/Upgrade inpatient

clinical systems

Upgrade network infrastructure

Design/Implement strategic

IT plan

Business continuity and disaster

recovery

Integrate systems in multi-vendor

environments

Improve IS departmental services

0 102030405060708090100

2007

2006

2005

Electronic medical record

Computerized practitioner

order entry (CPOE)

Bar coded medication

management

Clinical data repository

Enterprise-wide clinical

information sharing

Point-of-care decision

support system

Digital picture archiving

Ambulatory systems

Clinical information systems

Evidence based medicine at

point-of-care

Point-of-care data collection

Fig. 94.14a–d Percentage of health-

care facilities information technology:

(a) priorities (EMR –emergency

medical record, IS – information sys-

tem, IT – information technology);

(b) most important applications

Part J 94.1

Automation Statistics 94.1 Automation Statistics 1683

0 102030405060708090100

2007

2006

2005

Speech recognition

Bar code technology

Single sign on/

Identity management

Handheld PDAs

Automated alerts to clinicians

Wireless Information appliances

Vo I P

Computers on wheels

High speed networks

Intranent

Document imaging

Tablet Computers

0 102030405060708090100

2006

2005

Wireless information systems

High speed networks

Intranet

Computers on wheels

Interface engines

Client server systems

Extranet

Bar coding technology

Fig. 94.14 (c) adoption (VoIP – voice

over Internet protocol, PDA –per-

sonal digital assistant);

(d) current

use (source: 17th Annual HIMSS

Leadership Survey sponsored by ACS

Healthcare Solutions, February 13,

2006; 18th Annual HIMSS Lead-

ership Survey sponsored by ACS

Healthcare Solutions, April 10, 2007)

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

a) Imports of ICT goods (×10

US$ in current prices)

Year

400

350

300

250

200

150

100

United States

EU15

China

Japan

Korea

Fig. 94.15 (a) Top importers of

Information and Communications

Technology, 1996–2007 (source:

OECD Information Technology Out-

look 2008 Highlights)

Part J 94.1

1684 Part J Appendix

1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007

b) Exports of ICT goods (×10

US$ in current prices)

Year

400

350

300

250

200

150

100

United States

EU15

China

Japan

Korea

Fig. 94.15 (b) Top exporters of In-

formation and Communications

Technology, 1996–2007 (source:

OECD Information Technology Out-

look 2008 Highlights)

Sep. 07Aug. 06Sep. 05Jun. 04Apr. 03Jul. 02Jun. 00

3535

a) %

Jun. 00

Aug. 01

Jan. 02

Feb. 03

Feb. 04

May. 05

Aug. 06

Sep. 07

b) %

Fig. 94.16 (a) Percentage of Americans who have bought or made travel reservations online from 2000 to 2007.

(b) Percentage of all American adults who have ever bought a product online (source: J.Horrigan: Online

Shopping. Pew Internet & American Life Project, January, 13 (2008), http://www.pewinternet.org/pdfs/PIP_Online

%20Shopping.pdf, accessed on November 11, 2008)

DK FI SG CA US DE

Global average

UK JP

% of population

Fig. 94.17 Usage of e-Government

services in 2003 (DK – Denmark,

FI – Finland, SG – Singapore, CA

– Canada, US – United States, DE

– Germany, UK – United Kingdom,

JP – Japan) (source: DB research

(http://www.dbresearch.com/PROD/

DBR_INTERNET_EN-PROD/

PROD0000000000188264.pdf))

Part J 94.1