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Secrets of Software Success: Chapter 2007

January 16, 2007

Gareth Morgan, McKinsey & Co

Irish Software Association

Secrets of Software Success





• Quick overview of Global Software landscape

–Dimensions for key segments



• Macro-economic industry trends



• Traditional success factors in software industry



• Building blocks for successful software companies

in the future



• Open discussion

Although packaged software is the smallest revenue producer in

the high tech sector…

Share of revenue – all companies

$ Billions, percent CAGR

Percent

12/95-12/04



100% = $711bn 1,120 1,145 1,078 1,252 6%



Datacom and 22 17 17 2

26 23

Networking

17 18 11

13 13

Semiconductors 12



IT services* 12 19 22 24 22 14

Software 8

10 11 12 12 11





Hardware 42

35 32 30 31 3







12/1995 12/1999 12/2001 12/2003 12/2004



* Does not include internet software and services

Note: Adjusted for diversified companies, i.e., revenue for diversified companies has been allocated to different segments

Sources: Compustat; team analysis

…it has captured the largest share of market value

Share of high tech sector market cap (WW) – all companies

Market cap / CAGR

$ Billions, percent revenue Percent

12/2004 12/95-12/04



100% = $896bn 4,929 2,868 2,565 2,602 2.1 15



Datacom and 20 18 21 2.5 11

24

Networking 30





16 24 26 21 2.4 16

Semiconductors

18

IT services* 13 14

13 14 1.3 14

12



Software 26

28 28 5.0 14

26 27





Hardware 21 16 1.1 9

14 15 14



12/1995 12/1999 12/2001 12/2003 12/2004



* Does not include internet software and services

Note: IBM, HP & Compaq market capitalization distributed using aggregate sector multiples based on operating income

Sources: Compustat; team analysis

Focus of this

document

Defining the Software Industry landscape

Market size

$ Billion

Software North Functional Typical

category Worldwide America segments providers



Commercial $190bn* $47bn* • Enterprise SAP, Oracle

resale/packaged applications

software • Application tools Oracle, IBM

• System Microsoft, CA,

infrastructure Symantec

• Consumer Microsoft, Intuit



Internally NA $60bn** • Applications • Internal

developed • Embedded software

development

units



Custom (3rd NA $91bn** • Applications • IBM Global

party) developed • Application tools Services

• System • Accenture

infrastructure • EDS

• Infosys

* 2004 market size

** Based on North American estimates by U.S. Department of Commerce

Packaged software industry landscape by functionality WORLDWIDE



Market size in US$ Billions - 2004; 2004-09 CAGR in %

Applications ($91 bn, 6%)

Consumer Collaborative Content ERP and SCM CRM Engineering

Applications Applications applications operations applications applications applications

applications



$4 bn $4 bn $13 bn $46 bn $6 bn $8 bn $10 bn

(4%) 6% 7% 5% 6% 4% 6%





Tools ($44 bn, 7%)



Database Application Application life- Application Information Other

management development cycle deployment access and development

management delivery (BI/DW) tools

$8 bn

$20 bn $6 bn $2 bn $7 bn 8% $1 bn

7% 7% 9% 5% 3%







Infrastructure ($57 bn, 8%)



Systems and network Security software Storage software Networking software

management

$13 bn $9 bn $8 bn $2 bn

7% 12% 10% 2%





System software $25 bn 6%

Secrets of Software Success





• Quick overview of Global Software landscape

–Dimensions for key segments



• Macro-economic industry trends



• Traditional success factors in software industry



• Building blocks for successful software

companies in the future



• Open discussion

Macro-economic industry trends- observations







• Growth stabilizing; margins increasing



• Restructuring continues and investment

increases



• Both supply and demand continue

to globalize

Software industry is maturing with improved margins

and stabilizing sales growth

Percent





Revenue growth ** EBITA margins ***

3 year rolling average Aggregate



25 25



20 20



15 15



10 10



5 5



0 0

1995 1998 2001 2004 1995 1998 2001 2004









* CPC All SW Index : 274 companies in software industry with revenues > $0.1 Billion in at least one year during 92-05

** Revenue indices are adjusted for entry and exit

*** EBITA Margins are not adjusted for fair value of stock option expensing

Source: Corporate Performance Analysis Tool, McKinsey Corporate Performance Center analysis

Long term implied growth rates rank software near top of

industry sectors

Growth Expectations Next 10 years

Percent

Housing Construction $1 Billion in at least one year during 92-05 period

CPC Mid Software Index: 37 companies with revenues between $0.5 - $1 Billion in at least one year during 92-05

CPC Small Software Index: 188 companies with revenues between $0.1 - $0.5 Billion in at least one year during 92-05

** Revenue indices are adjusted for entry and exit

*** EBITA Margins are not adjusted for fair value of stock option expensing

Source: Corporate Performance Analysis Tool, McKinsey Corporate Performance Center analysis

Global software deal volume and values are growing steadily



M&A* Value of Deals Count of Deals

$ Billion Number

120 800

100 86

600

80

60 44 400

38 41

40 32

25 20 200

20 10 11 11

0 0

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006*



PE & VC ** Value of Deals Count of Deals

$ Billion Number

30 800



600

20 17

400

10 8 7 7 8

6 200

4 3

1 2

0 0

1997 1998 1999 2000 2001 2002 2003 2004 2005 2006*

* Global Software Industry , ** United States and Europe , *** Through 11/1/2006

Source: Dealogic , Thomson Financial , Capital IQ

Software supply continues to globalize



2005 Distribution of Software Engineers 2005 Computer science graduates/year

Percent Thousand



India

19

50 51

Rest of

41 World



30

25

USA 21







19

Europe US India Japan China

Source: Ministry of Education in China; Ministry of Education in

Source: Evans Data Corporation, Bureau of Labor Statistics,

Japan; IDC, interviews; literature search; McKinsey

McKinsey estimate

analysis;







Software developer population expected to grow 46% CAGR to 17 million by 2009

Secrets of Software Success





• Quick overview of Global Software landscape

–Dimensions for key segments



• Macro-economic industry trends



• Traditional success factors in software industry



• Building blocks for successful software

companies in the future



• Open discussion

Traditional software premises and corresponding success

factors





Industry premises Success factors

• Revenue growth drives company • Build functional organizations to

valuation scale rapidly



• Product innovation enables • Focus R&D on new features,

growth functionality



• Time to market captures growth • Emphasize customer acquisition

over customer experience

Invest in people

• Select top people

Difference in productivity levels "It's better to wait for the productive programmer to

become available than to wait for the first available

Individual

programmer to become productive"

Steve McConnell



• Retain top people by any means (unusual measures

x 10 required: i.e., former Platinum CTO Popek allowed

star programmer to work from a mountain cabin and

even paid for the high-speed communication setup)

Average Top • Leverage top programmers through effective

Teams team setup (i.e., surgical team)



• Provide ergonomics and equipment

– Quiet offices (no cubicles!)

– 75% of the time: no interruptions

x5

x 10

– Fast workstations and network access



Average Top • Training programs

– 5 - 15 days per year internal training

– 1 - 4 paid external conferences

– Material for autodidactic training

Source: Steve McConnell: Rapid Development, Secrets of Software Success

Turnover management

Examples



• Large networking software company gives its

Retain key managers a system to track the “walk-away-value”

people selec- (i.e. the value of stock options an employee would

tively lose if he left now) for their employees on a daily

basis – if this value gets too low for key employees

managers can take counter measures



• At Compuware, CEO Peter Karmanos, introduced a

Successful “typical profile of a Compuware employee” based

Hire according

turnover on “Compuware values” to support recruiting –

to cultural fit

management since then turnover has decreased



"20% turnover

is not too bad

as it also has • CISCO introduced “fast start” a dedicated program

advantage of Bringing new to bring new hires up to speed including specialized

constant hires up to “facilities teams” for setting up the infrastructure

renewal" speed fast (e.g., fax, phone, mail) as well as sophisticated

systems of automated e-mails to managers to

remind them of their duties with new employees



Source: Secrets of Software Success

But the world has changed









• Growth constrained by macro- and

microeconomics



• Customers want improved experience, not just

innovation



• Global mobility of capital and talent straining

organizations



• Competition for software margins increasing,

both inside and outside industry

Tide is shifting from a story of “consolidation” to one of

“business model changes, innovation, and globalization”

What Software Topic Will Be Most In The News In The Next Year? 2005 survey

Percent of respondents 2006 survey









52





40



30



22

17

15



6 7 6

4



Consolidation Business model Innovation Globalization New devices

changes







Source: Sandhill’s Enterprise 2005, Enterprise 2006 Quicktally survey

Secrets of Software Success





• Quick overview of Global Software landscape

–Dimensions for key segments



• Macro-economic industry trends



• Traditional success factors in software industry



• Building blocks for successful software

companies in the future



• Open discussion

What will be the building blocks for successful software

companies?



Improve customer experience

1

Optimize software supply chain

2

Embrace new business model innovations

3

Adopt a productivity mindset

4

Manage ecosystem economics

5

1. Customer experience really does matter



Satisfaction with Software

Percent of respondents







Min Average Max





How to get started:

Satisfaction • Map total interaction

index*

22 29 43

• Isolate drivers of loyalty

Min Average Max



• Invest in customer

experience that delights

Recommendation

Index**

11 27 42









Based on surveys for 10 enterprise application providers

* Current implementers who definitely plan to re-implement

** Current implementers who recommend brand

Source: Yankee, 2004

Areas that must be worked to professionalize the Go To Market

approach





Consultative, value-based selling

Engaging in a continuous dialog about

creating and delivering value to customers



Channel and partner coverage

Increasing range of coverage models and

partnerships to reach more segments



Pricing architecture

Creating easy to use but robust pricing

models that capture value and drive use



Marketing effectiveness

Increasing brand awareness and relevance

across all important customer segments



Sales operations

Creating standard, efficient global processes to

support and monitor all sales activities

2. Optimize software supply chain



Software supply chain elements







Internal R&D









Software

Customer-developed components

supply chain









Global sourcing

Historically, R&D levels have not correlated well with growth





2000 revenue growth 2003 revenue growth

Percent Percent

200% 75%





150%

50%



100%

25%

R2 = 0.00

50% R2 = 0.03



0%

0%





-50% -25%

0% 10% 20% 30% 0% 10% 20% 30%





1998 R&D/revenue percent 2001 R&D/revenue percent

Incorporate customer-developed components into your

products



Software investment by type

Percent; $ billions





100% = $147 $191



Software developed internally by end-user

customers (e.g., Ford’s software unit)

31

42



Custom software developed by third-party

vendors (e.g., IBM, Infosys, etc.)

37

30



Prepackaged software purchased from software

vendors 32 28





1998 2003

New software players within emerging markets

PRC ONLY

Software Engineers

FTEs





Huawei 8,000





UFIDA

5,000

(ISV)



Kingdee 3,200

(ISV)



Changhong

Electric 1,000



Beijing

500

Founder



Guangzhou

150

Haige (ISV)



* Footnote

Source: Ministry of Information Industry (PRC)

Source: Source

3. New platforms will become more important growth drivers

Total value Total SW Growth rate

Software content (HW+SW) market %

Platform

% $ bn, 2003 $ bn



Servers 65-70

65 164 115 5-7

Traditional









PCs 1515-20 218 40 5-7





Storage 1515-20 37 6 10



Industrial

automation 15 15-20 58 10 7

Emerging/embedded









PDAs/ mobile

10 10 82 8 25





Automotive 1 1.0

0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00









Software and services Accenture

Labor productivity, 2004 PeopleSoft

Siebel

SAP

237

Oracle Microsoft

Adobe Electronic Arts

152

130

Number of 102

companies 52 48

29

14 12 10 2 2 8 2 1 4 3 0 1 1 10

$mn/FTE

0.00 - 0.05 - 0.10 - 0.15 - 0.20 - 0.25 - 0.30 - 0.35 - 0.40 - 0.45 - 0.50 - 0.55 - 0.60 - 0.65 - 0.70 - 0.75 - 0.80 - 0.85 - 0.90 - 0.95 - > 1.0

0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40 0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.90 0.95 1.00









Sources: Compustat; Global Vantage; Hoovers; team analysis

Need to optimize collaboration grows as interactions increase



Increasing interaction volume Solution: structured networks

1998 2006

From To

2B per 20B per

day day

E-mail 10x



1M 100M

Messaging users 100x users







Measure your network

Almost half of managers are • Cohesion – 2.5

interrupted roughly every 10 minutes

• Density – 50%

• Centrality – 2.3

5. Ecosystems must be managed to capture maximum value

Estimated profits in desktop IT



80









30

Operating profit

Percent









20









10





0

0 100

Other components Personal Operating Peripherals

Microprocessors computers systems

Services

Share of industry revenue Application software

Percent



Source: McKinsey analysis

Future software company operating model?

Percent of revenue Assumption ILLUSTRATIVE





• Lower cost of delivery (more electronic)

COGS / • More self-diagnosis, automated monitoring lowers

OCOGS 29 27 cost of delivering support





• Faster, leaner development and testing cycles

R&D 11

12 carried out partially with outside communities





• Simplified SaaS pricing models and more

SG&A 34 use of distribution lowers selling costs across the

35 board







• High single digit growth predictions come true

28

• Price pressure remains limited in enterprise

EBITDA 24 segments





Today Future

Contact Information







Gareth Morgan

High Tech and Telecom Engagement Manager, McKinsey

Dublin

Direct 01- 405 2431

Gareth_Morgan@McKinsey.com


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