6 1 Introduction
BookID 185346_ChapID 1_Proof# 1 - 28/08/2009
BookID 185346_ChapID 1_Proof# 1 - 28/08/2009
development. Other nonprofit foundations such as the Presbyterian Health
Foundation had a vision for the development of a new research park with about 1
million square feet of Class A wet labs and office space that provides state-of-the-art
research laboratories and incubator space at significantly reduced rates to many
biotechnology companies. Examples such as these are being repeated in almost
every state across the US and in other non-biotechnology locales in the UK,
Europe, Canada, Japan, Australia, China, and India. Over the next several decades,
we will witness the complete decentralization of biotechnology into areas previ-
ously void of any life science commercialization.
Is the Biotechnology Business Model Broken?
Some critics say that the biotechnology business model is broken. They cite the inef-
ficiency in generating significant revenues and profits from the industry as a whole,
absent a handful of successes. Their argument consists of a summary of the com-
bined revenues generated by this industry, which continues to grow, but the com-
bined profits are at or below zero. They ignore the fact that most of the companies
in this industry are early-stage development companies, which consume rather than
produce capital. Evaluations like these can be problematic, because they arise from
comparing the biotechnology industry to non-science-based businesses using the
same metrics. If the business of biotechnology is measured across the same time-
frame as say the IT or computer industry, then the critics are correct. However, the
biotechnology industry has a product development time-frame that can extend
10–15 years, which significantly impacts the collective revenue and profit the indus-
try generates during the first or second generation of companies. Lengthy product
development and clinical trials coupled to prolonged regulatory approvals require
many years or potentially decades to complete, expanding this time-frame.
All industries go through adaptive refinement. In the 1980s and 1990s, during
the early days of biotechnology’s growth, there were few examples to follow,
limited experience to draw from, and no proven business models for these compa-
nies. In the years since then, more support systems are in place, more experience is
available to draw from, and better tools are available, as are more sophisticated
investors to help the entrepreneur achieve their goals. The biotechnology industry’s
ability to quickly hone in on a drug target or molecular marker with the highest
likelihood of success will improve, and this will increase the success rate and speed
to commercialization. The concept of improving targeting efficiency is universal
and similar in the petroleum industry as they sought to locate new sources of oil. In
the early days, oil companies simply dug holes in the ground in the most likely
places with few successes. Today oil companies use sophisticated devices based
upon sonar, and other high technology geological devices, and tools to improve the
likelihood that a drill will hit oil. The big difference between the oil industry and
the biotechnology industry is the length of time it takes to learn the well is “dry.”
Biotech companies may not discover that their well is “dry” until their drug