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Taxonomy of IT Enterprises in Kenya
and their undeveloped growth
interventions.
with special focus on startups
A preliminary analysis by John Kieti - Outgoing Lead at m:lab East Africa
with improvements from initial version presented at the AITEC East Africa ICT Summit - 19th Feb 2014
@JohnKieti
Direct contribution of ICT to Kenya GDP appears dismal
IT Enabled Services (ITES)?; MPESA?; Is ITES all we can
2013
Kenya: GDP $55b;
GNP $123b
Tanzania: GDP $33b;
GNP $84b
Uganda: GDP $21b;
GNP $55b
Nigeria: GDP $521b;
GNP $930b
2014
Google: Revenue $66b;
Founded 1998
Apple: Revenue $182b;
Founded 1976
Amazon: Revenue $89b;
Founded 1994
Ali Baba: Revenue $8;
Founded 1999
Canada ICT GDP Components
ICT Manufacturing (tangible?)
ICT Services (communication, software
publishing, implementation, hosting, etc)
ICT Wholesaling, Rental and Leasing
(intangible and tangible?)
IT Enterprise classification can be done as
pertains their business models
A business model describes the
rationale of how an organization
creates, delivers, and captures value
Osterwalder & Pigneur (2010)
A startup is an organization (temporary)
formed to search for a repeatable and
scalable business model -
Steve Blank (2010)
A startup is a human institution designed to
deliver a new product or service under
conditions of extreme uncertainty -
Eric Ries (2011)
Key Parts of
Business Models
(Ash Maurya Version)
IT Enterprises Value Characteristics & Business
Model Priorities
Freelancers &
Consultants
Traders &
Middlemen
Startups
Mature
Corporates
New product;
Arrive at repeatable & scalable model
Value pre-specified;
Build capacity of individual or outfit
Value pre-packaged (elsewhere);
Beat logistical and market inefficiencies
Diminishing value of current products;
Augment value or diversify products
IT Enterprises Sources of innovation (Kenya)
Freelancers &
Consultants
Traders &
Middlemen
Startups
Mature
Corporates
Producer Driven
innovative startups & corporates
Enhanced repeatability & scalability
Consumer Driven
Innovative individuals and institutions
Constrained repeatability & scalability
IT Enterprises Dream On! Raise GNP by 15% Yearly;
# of native enterprises (Guesstimate)
Freelancers &
Consultants
Traders &
Middlemen
Startups
Mature
Corporates
Thousands (1,000 - 10,000)
Hundreds of thousands (500,000+)
Hundreds of thousands (500,000+)
Hundreds (100 - 1,000); 5th Year
IT Enterprises Ideal interventions from IT ecosystem
enablers in Kenya
Freelancers &
Consultants
Traders &
Middlemen
Startups
Mature
Corporates
Capital! Human, Social, Financial
Information infrastructure
Human capital
Information infrastructure
Trade Finance
Logistics infrastructure
Human capital
Empowering regulation
Resource constraints + Market conditions +
Caliber of Team => Most Startups die
before they can graduate
(90% in 3 years - guesstimate)
Graduation from startup to mature
corporate is typically a couple of years
(3-5 years - guesstimate)
# of Startups
Expand Base
Timeto
maturity
# of Startups
CompressTime
Timeto
maturity
Expand Base of The Startups Pyramid
Massively mobilize - use unemployment;
Popularise entrepreneurship!
Natural selection;
The best become high growth companies!
Compress Time to Maturity or Death
Human Capital: Refine that raw talent
Social Capital: Build business networks
Financial Capital: Fund (seed then growth)
Thank you;
Criticism and suggestions for
improvement requested …
jkieti@gmail.com
Follow further analysis and reflections on gmeltdown.com
@JohnKieti

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Taxonomy and Growth of IT Enterprises in Kenya

  • 1. Taxonomy of IT Enterprises in Kenya and their undeveloped growth interventions. with special focus on startups A preliminary analysis by John Kieti - Outgoing Lead at m:lab East Africa with improvements from initial version presented at the AITEC East Africa ICT Summit - 19th Feb 2014 @JohnKieti
  • 2. Direct contribution of ICT to Kenya GDP appears dismal
  • 3. IT Enabled Services (ITES)?; MPESA?; Is ITES all we can
  • 4. 2013 Kenya: GDP $55b; GNP $123b Tanzania: GDP $33b; GNP $84b Uganda: GDP $21b; GNP $55b Nigeria: GDP $521b; GNP $930b 2014 Google: Revenue $66b; Founded 1998 Apple: Revenue $182b; Founded 1976 Amazon: Revenue $89b; Founded 1994 Ali Baba: Revenue $8; Founded 1999
  • 5. Canada ICT GDP Components ICT Manufacturing (tangible?) ICT Services (communication, software publishing, implementation, hosting, etc) ICT Wholesaling, Rental and Leasing (intangible and tangible?)
  • 6. IT Enterprise classification can be done as pertains their business models A business model describes the rationale of how an organization creates, delivers, and captures value Osterwalder & Pigneur (2010)
  • 7. A startup is an organization (temporary) formed to search for a repeatable and scalable business model - Steve Blank (2010) A startup is a human institution designed to deliver a new product or service under conditions of extreme uncertainty - Eric Ries (2011)
  • 8. Key Parts of Business Models (Ash Maurya Version)
  • 9. IT Enterprises Value Characteristics & Business Model Priorities Freelancers & Consultants Traders & Middlemen Startups Mature Corporates New product; Arrive at repeatable & scalable model Value pre-specified; Build capacity of individual or outfit Value pre-packaged (elsewhere); Beat logistical and market inefficiencies Diminishing value of current products; Augment value or diversify products
  • 10. IT Enterprises Sources of innovation (Kenya) Freelancers & Consultants Traders & Middlemen Startups Mature Corporates Producer Driven innovative startups & corporates Enhanced repeatability & scalability Consumer Driven Innovative individuals and institutions Constrained repeatability & scalability
  • 11. IT Enterprises Dream On! Raise GNP by 15% Yearly; # of native enterprises (Guesstimate) Freelancers & Consultants Traders & Middlemen Startups Mature Corporates Thousands (1,000 - 10,000) Hundreds of thousands (500,000+) Hundreds of thousands (500,000+) Hundreds (100 - 1,000); 5th Year
  • 12. IT Enterprises Ideal interventions from IT ecosystem enablers in Kenya Freelancers & Consultants Traders & Middlemen Startups Mature Corporates Capital! Human, Social, Financial Information infrastructure Human capital Information infrastructure Trade Finance Logistics infrastructure Human capital Empowering regulation
  • 13. Resource constraints + Market conditions + Caliber of Team => Most Startups die before they can graduate (90% in 3 years - guesstimate) Graduation from startup to mature corporate is typically a couple of years (3-5 years - guesstimate)
  • 14. # of Startups Expand Base Timeto maturity # of Startups CompressTime Timeto maturity
  • 15. Expand Base of The Startups Pyramid Massively mobilize - use unemployment; Popularise entrepreneurship! Natural selection; The best become high growth companies!
  • 16. Compress Time to Maturity or Death Human Capital: Refine that raw talent Social Capital: Build business networks Financial Capital: Fund (seed then growth)
  • 17. Thank you; Criticism and suggestions for improvement requested … jkieti@gmail.com Follow further analysis and reflections on gmeltdown.com @JohnKieti