As a lecturer for "Basic Principles of Drug Discovery and Development" for Department of Life Sciences, National Central of University for two years.
In charge of "Introduction to the pharmaceutical market and practice".
6. Deeply influenced by pharmaceutical regulation.
Price of the drug is determined by the drug price system.
Promotion and advertisement is regulated
Complicated and exact information is required
医薬品マーケティング新戦略 高橋真人
Enormous cost and time are required for product development.
Features of Pharmaceutical Market
6
7. Value Chain of Phramaceuticals, Payers, and Providers
Pharmaceutical Value Chain
Payers Value Chain
Provider Value Chain
7
12. Reform of the Medical and Health Care System of China
12
13. Lifecycle management up to drug launch
5~9y 3~9y 1~3y
Non-clinical
Basic
research
Phase I
Phase IIa
Phase IIb
Phase III
Expert
committee
Pharmaceutical
committee
Pharmaceutical
Affairs
Post marketing
survey
Application for
re-examination
Clinical Trial Submission
TPP Plan (Indications, Target Countries)
TPP Decision
Sales scale, sales system, production system evaluation
Scale of trial, facilities, PI, etc.
Response to deficits, launch plan and sales strategy
Plan for post-marketing surveillance
13
15. TPP & strategy design in development stage
TPP design
Research design
STP design
4P design
PM assign
Market research
Competition survey
PEST Analysis
Needs Survey
Fact Investigation
SWOT Analysis
3C Analysis
Segmentation
Targeting
Positioning
Promotion scenario
Scenario investigation
Branding
Promotion strategy
Price strategy
Distribution strategy
PMS design
MR training
MR promotion
PMS
NDA
Phase III
Phase IIb
Phase IIa
Phase I
Approval
15
16. Goal of Post market lifecycle management
Development Introduction Growth Mature Declining
Revenue
Launch
Years of post marketing
16
17. Patent period, development and sales period in pharmaceuticals
Nonclinical
Basic
research
Clinical
trial
Dossier
submission
3~5y 2~3y 3~9y 1~3y
R & D period Reexamination
Revaluation period
Patent application
Originator sales period
Generic sales period
Patent period
17
18. Comparison of sales of originator and generic between US & JP
US
JP
Originator sales
Generic sales
18
patent expiration time
revenue
19. Rank of lifecycle value-growth to mature
#2 Humira
Launched on 2002
115.9B USD
#9 Herceptin
Launched on 1998
79.2B USD
#12 Nexium
Launched on 2001
65.3B USD
#3 Remicade
Launched on 1998
105.1B USD
19
Infliximab Esomeprazole / PPI
Adalimumab
Trastuzumab
20. Rank of lifecycle value-mature to decline
#2 Abilify
Launched on 2005
63.5B USD
#19 Gleevec
Launched on 2001
56.2B USD
#20 Losec
Launched on 1992
52.0B USD
#1 Lipitor
Launched on 1998
152.0B USD
20
Atorvastatin calcium Omeprazole/ PPI
Aripiprazole
Imatinib
21. • Launch next generation product
• New indication
• New dosage form
• Change Composition
• Maximize brand loyalty
• Strategic pricing
• Switch to OTC
• Release of generics by our company
• Liquidation/ license out the product
Strategy against Patent Expiration
Strategy against Patent Expiration
21
27. Top 10 Selling Products WW in 2024
PD1
Antibody
TNF
Blocker
anticoagu
lant
PD1
Antibody
NHL CDK 4/6
inhibitor
multiple
myeloma
mAb
Psoriasis
HIV
27
Macular
Degeneration
28. PEST analysis for pharmaceutical products
Politics
1.Regulation relief Healthcare system reform
2.Revision of Pharmaceutical Affairs Law
3.Strategies against intractable diseases
4.China–United States trade war
Economics
1.GDP/ appreciation/ depreciation
2.Increasing drug expenses
3.Promotion of generic products
Society
1.Aging
2.Increase of lifestyle diseases
3.Environment protection
Technology
1.Development of regenerative medicine
2.Genomic medicine
3.New treatment method
4.Artificial intelligence
28
30. Healthcare environmental analysis
Epidemiology
1. Potential patients / diagnosed patients
2. Incidence
3. Average onset age · mean disease duration
4. Male / female ratio / age composition ratio
5. Survival rate / mortality
Etiology
1. Condition (pathogenic mechanism)
2. Pathological findings
3. Classification on pathology, pathology
4. Presence of inheritance
Diagnosis / Examination
1. Criteria
2. Main symptoms
3. Inspection method (insurance reimbursement?...)
4. Monitoring method (blood concentration…)
5. Criteria for determining severity
Treatment
1. Non medication therapy
2. Medication therapy
3. Guidelines
4. Market size (amount, number of patients)
5. Competition situation (number of products / share)
30
31. Drug price
setter
Involvement of
the authority
Drug price of
new drug
Price reduction
after launch
Japan Government High Low High
France Government Medium Medium Low
Germany Free Medium Medium Low
US Free Low High NA
Drug price system
31
33. Spending growth in the total market
reaches $100 billion by 2018.
Pharmaceutical Spending
33
(Rest of world)
34. U.S. spending growth on medicines will
peak in 2014 and then moderates through
2018
Pharmaceutical Spending
34
35. Japan’s growth is expected to return to
historic patterns through 2018 after
atypical 2014
Pharmaceutical Spending
IMS Market Prognosis 2014-2018
35
37. Pharmaceutical Spending
Spending level increases are tied to recently
expanded access, with 95% of the population now
covered by public health insurance plans.
37
38. Pharmerging growth steady
with greater access to
medicines and economic
improvement increases
Pharmaceutical Spending
38
50. Classifications of Originators
50
Covering primary area and specialty
area
Marketing powerfully in all directions
Mega player(Almighty type)
Covering both original and generic
drugs
Larger enterprise size
Multiplayer (Diversified type)
Covering mainly on specialty areas
No. 1 in target category
Category players(Specialty type)
Covering intensively the niche area
No.1 or first three in the target
category
Niche player (Concentrated type)
51. Competitive
strategies in
pharmaceutical
industry
Feature
○ eager to M&A
○ domination by size and resources
○ brand
Product
○ blockbuster products
○ first-in-class
Feature
○ research intensive type
○ differentiation
○ alliance
Product
○ blockbuster products
○ best-in-class
Feature
○ conventional sales & marketing
○ resist to merge
Product
○ medium market size product
○ cloner & imitator
Feature
○ centralized type
○ resist to merge
○ high profit
Product
○ small to medium market size
products
○ less competition area
51
52. 3C analysis for pharmaceutical products
Customer Company Competitor
Where to compete? How to compete? What to compete?
Patient trend
transition of patient size
recognition rate
acceptance rate
Actual medical condition
number of physicians
diagnostic rate
specialty
Treatment status
dosage rate, efficacy rate, satisfaction
level
presence / absence of guideline
Organization
sales system
quantities of MRs
marketing system
Products status
characteristics of products
market share
Market entry
product lineup
relationship with customers
Organization
sales system
quantities of MRs
marketing system
Products status
characteristics of products
market share
Market entry
product lineup
relationship with customers
52
53. 3 new products business strategies
Existing category
competition
New category entry
New business
development
Market analysis
Customer analysis
Product analysis
Competitive analysis
Resource and inventory check
Macro-environment analysis · Industry analysis
Market analysis · customer analysis · competitive analysis
Impact on market entry & investment outcome investigation
53
54. 8 Elements for product differentiation
Price
Dosage
Chemical
Formulation
Usage
ADME
Mechanism
Form
Core function
Efficacy
Safety
Indication
54
63. Attribute and behavior analysis
Attribute analysis
Geographic
Demographics Age, Sex
Psychological Lifestyle, personality, prescription rights, treatment policy
Behavioral
Frequency of use, royalty,
presence of consultation
Awareness of disease / treatment
Awareness of disease,
Adaption rate of treatment
Specialty · clinical dept. GI · CV…
Facility Attribute University Hospital · Clinic
Behavior analysis Product selection process
Problem recognition,
Problem solving,
Product selection,
Product purchasing,
Product valuation
63
64. Model in calculation drugs
consumption
50
100
100% 70% 60% 50% 30% 20%
Potential
patients
Consultation
rate
Diagnostic
rate
Dosage
rate
Prescription
rate
Persistence
rate
LOSS
64
65. Market composition of medical products and example of patient flow
Total p‘ts
Conscious
Consultation
Diagnosis
Prescription
Our p’t share
Average dose
Persistency
Daily avg. price
Non-conscious
Non-consultation
Non-diagnosis
Non prescription
Competitor’s p’t share
Average dose
Persistency
Daily avg. price
Realize it is a disease?
Been consulted at a hospital?
Been diagnosed?
Drugs are prescribed?
What is the patient share?
Average amount daily intake?
How long will it be
taken?
Existing market
Potential market
65
66. Marketing process & main research
Segmentation
& Targeting
Positioning
Branding
Promotion
Prescription share
Amount share
Fact
Needs & insights
Positioning &
Message
Branding Survey
Scenario survey
Mind share survey
Dynamic survey
Market share
Treatment algorithm (decision tree)
Patient flow
Evaluation of drug, treatment motivation
Tx issues, dissatisfied or worried points, ideal status
Major treatment goal, clinical benefit, product characteristics
Visual, logo, tagline, signal
Understanding and acceptance of promotional content
Understanding, conviction, differentiation,
prescription intention
New patient share, Switching share, Additional share,
Maintenance share, Total share
IMS(IQVIA) share
66
Fact
Needs & insights
Positioning &
Message
Fact
Needs & insights
67. 4 Ps marketing mix
Product Price Place Promotion
Generic name
Brand name
Effect, feature
Quality
Dosage form
Design package
Product logo
Warranty
Drug price
Transferred price
Sales price
Allowance
Discount
Credit conditions
Channel
Distribution range
Product
assortment
Location
Stock
Transport
Advertising
Sales Force
Sales Promotion
Public Relations
Internet
67
68. Relationship between drug price and prescription
share and profit
100%
50%
50 100 150 200 250 300 350
Patient share
1 day drug price
Share
Profit
drug price*patient share* (1 - cost rate)
Share at best price
Best price
68
Profit/day
70. Methods of Sales Forecasts
Sales forecast
New Products
Introduction/
growing
Short-term forecast
(within 1 year)
Medium- to long-
term forecast
(longer than 2 years)
Existing Products
maturity/ deline
Short-term forecast
(within 1 year)
Medium- to long-
term forecast
(longer than 2 years)
Market breakdown method
Benchmark method
Growth rate analysis method
Survey analysis method · Product
competitiveness
Statistical prediction method
Product life cycle analysis method
Judgment intensive (experience)
method
70
71. Strengths Weaknesses
Sales force Effective
Provide highly complex info
Info exchange is possible
High cost (continuous)
Coverage is limited
Latent effect
Advertisement High coverage
Messages can be transmitted quickly
High impact
High cost (depends on cost)
Difficult to provide complex information
Publicity Reliability is high
Reasonable cost
Difficult to control by company negative
information may be spread
Promotion Fast
Synergy is expected (combine with sales force)
Effect period is short
High cost
Word-of-mouth
reviews
Reliable and low cost Difficult to control by company negative
information may be spread
Internet Internet can be seen anytime, anywhere
No restriction in amount of information
Comparation and exchange is possible
Weak impact
Strengths and weaknesses of each promotion methods
71
72. Benefits
• Finely responding
• Provide advanced information
• Information exchange
• Prompt response and feedback
Human Promotion Process
72
01
02
03
04
05
06
Discover existing customers' needs
Search for new
Attention-drawing, Interest facilitation
Prescription occurrence
Detail presentation
Occurrence of desire
(counterargument, differentiation)
Follow-up (confirmation of
customer satisfaction)
73. 73
Mass-market medicines Specialist therapies Marketing Implications
Treat common illnesses
Treat rare diseases and specific disease
subtypes
A much smaller target market
Must generally be used with a diagnostic, which adds to
the overall cost but improves compliance
Relatively simple products Very complex products
Require more scientifically educated sales
representatives
Typically prescribed by general
practitioners
Prescribed by specialists Require a much smaller sales force
Low price per dose
Very high price per treatment Require
much more extensive proof of clinical
efficacy
Outcomes-based pricing
Usually oral formulations Usually delivered by infusion or injection
Require intensive patient education & monitoring
Costs may be spread across different payment centres &
budgets with different reimbursement procedures
Relatively easy to manufacture Difficult to manufacture Less vulnerable to generic competition
Easy to transport
Require special distribution & storage
facilities
More expensive to ship & store
Generally kept in stock Often delivered to order
Must be supported by a much more
flexible supply chain
Specialist th erapies require dif f erent marketing and sales mo dels f ro m th o se
used fo r mass-market medicines
74. 74
Blockbuster model Specialist model
Strategy
Development of mass-market blockbusters Development of specialist medicines for treating specific disease subtypes
Generation of new prescriptions
Cooperation with healthcare payers & providers to optimise the
healthcare resource mix
Responsibility for compliance & persistence
Organisation Vertically integrated Networked
Culture Fragmented, with separation of disciplines & brands Integrated, with collaboration across disciplines & brands
R&D
Restricted research agenda
R&D silos
Cumbersome decision-making processes
Reward systems based on number rather than quality of
candidate molecules
Comprehensive research agenda
Internal & external connectivity, partnering & adaptive trials
Nimble decision-making processes
Reward systems based on collaboration & commercial awareness
Manufacturing
Narrow product range
Batch-based, “made to forecast”manufacturing
Wide product range (including diagnostics, biomarkers & novel delivery
technologies)
Flexible, “assembled to order” manufacturing
Distribution
Traditional channels, primarily wholesalers
Conventional distribution
Multiple channels, including direct distribution to patients or their
healthcare providers
Chilled-chain distribution and storage
Pricing What the market will bear, rebates & discounting Pay-for-performance
Marketing &
Sales
Intensive detailing
Individual negotiations with large healthcare payers;
specialist advice for secondary & tertiary healthcare
providers; & educational programmes for patients
Based on differentiation of competing medicines
Based on treatment of specific disease states and
measurement of outcomes
Specialist medicines requir y new organisational and cultural character istics
Recognising the interdependence of the pharmaceutical and healthcare value chains
The relationship between pharmaceutical companies, healthcare payers and providers is at best wary – and sometimes downright antagonistic.
Yet analysis of their value chains suggests that they have far more in common than might first seem the case.
In its simplest form, a value chain is the series of activities an entity (either singular or collective) performs to create value for its customers and thus for the
entity itself.
The pharmaceutical value chain starts with the raising of capital to fund R&D and concludes with the marketing and sale of the resulting products.
In essence, it is about making innovative medicines that can command a premium price (see Figure 3).
The payer value chain starts with the raising of revenues through premiums, taxes or out-of-pocket payments.
The payer then creates value for its customers (patients, policyholders and payers) by managing the administrative process and giving them access to
medical care. The payer’s goal is thus to make a financial or political profit by maximising its revenues or reputation (with its customers or voters, depending
on whether it is a commercial enterprise or government) and the quality of the service it secures, while minimising its costs (see Figure 4).
The provider’s goal is to deliver a high quality of care efficiently. This usually means treating patients as economically as possible, for as long as required. The
provider value chain therefore begins with an analysis of the factors affecting the health of a given population and the preventative measures that can be
taken to forestall illness. Thereafter, it progresses through the various stages of treatment from primary care to longterm care (see Figure 5).
However, although these three value chains are different, they are also heavily
interdependent. The value healthcare payers generate depends on the policies and practices of the providers used. The value providers generate depends on the revenues payers raise and the medicines Pharma makes. And the value Pharma generates depends on getting access to the patients whom providers serve and income from the payers who fund those providers.
In short, none of the three parties can do its job properly without the others and, while they continue to clash, they are struggling to attain their respective
goals. The quality of the care they collectively deliver is lower, and the cost higher, than it would otherwise be – and society can no longer afford such inefficiencies. So, if mankind is to ensure that it gets the healthcare it needs, the three parties must be much more closely aligned.
Investing in the development of medicines the market wants to buy
One of the many areas in which Pharma needs to work much more closely with healthcare payers and providers is in determining the sort of medicines the market actually wants to buy.
We have identified seven stakeholders who each play a key role in deciding whether a medicine is innovative, using different definitions of innovation at different
points in the product lifecycle (see sidebar, What is innovation?).33
The process starts with the researcher, who identifies the scientific potential of a particular molecule. It continues with the investor, who backs that belief with capital; the regulator, who approves the labelling claim; and the pharmaceutical company, which commits resources to the production and promotion of the treatment.
Once a medicine has reached the market, it is the healthcare payer, provider and patient, respectively, who adjudicate on its innovativeness: the healthcare payer by paying a premium price for it; the provider by choosing it over other therapies; and the patient by taking it as instructed or even pressing for a prescription (see Figure 7).
China’s overhaul of regulations in recent years brought a fast-track approval process and a potential local study waiver for products targeting rare diseases or diseases with substantial unmet needs. Since then, China has experienced exponential growth in new approvals and a signifcant reduction in drug lag, compared with the US FDA and EMA (fgure 14).186
• Prescription drug sales expected to reach $1.18trn in 2024. Immuno-oncology line extensions significantly contribute to growth; emergence of novel technologies
such as cell and gene therapy mark an inflection point in pharma’s evolution
• Pfizer will be the leading prescription drug company in 2024 with sales of $51.2bn, ahead of Novartis and Roche
• Keytruda set to be the top selling drug worldwide in 2024, as Humira loses top spot due to adalimumab biosimilar entry in the EU and expected USA biosimilar competition from 2023
• Should Bristol Myers-Squibb complete its intended acquisition of Celgene and forecast projections for a combined portfolio hold, the combined entity would be the 3rd largest pharmaceutical company based on 2024 prescription sales
• Vertex’s triple combination, VX-659/VX-445 + Tezacaftor + Ivacaftor, is anticipated to be the most valuable project in the pharmaceutical industry pipeline with an NPV of close to $20bn
• Oncology is the area with the largest proportion of clinical development spending with 40% of total pipeline expenditure, with close to 20% market share of pharma sales in 2024
• R&D spend is forecast to grow at a CAGR of 3.0% to 2024, lower than the CAGR of 4.2% between 2010 and 2018, partially driven
by companies focusing on smaller indications with lower clinical development cost burden
• Roche leads the way in biotechnology, with a forecasted $38.7bn of biologic sales in 2024, despite a decrease in biotech market share
of -5.4% owing to the effect of biosimilars
• Johnson & Johnson are forecast to narrowly overtake Roche to be the biggest spender on pharmaceutical R&D in 2024
Pfizer returns to top spot for worldwide sales of prescription drugs in 2024.
As the top three continue to battle it out, EvaluatePharma® finds that Pfizer has once again pushed ahead of Novartis and Roche for the Worldwide Prescription Drug Sales number one spot in 2024.
Novartis is also due to jump up to the number two spot after exhibiting 2.3% CAGR between 2018-24 as opposed to Roche’s 0.8% CAGR.
Bristol-Myers Squibb has fallen out of the top 10 largely due to loss of Opdivo market-share to Keytruda and being beaten to the mega-merger table by Takeda with its acquisition of Shire in January 2019. As a result, Takeda leaps up seven places in the ranking between 2018 and 2024 with an impressive 10.8% CAGR.
Bristol-Myers Squibb is unlikely to be outside the top 10 for too long however, as on January 3rd, 2019, the company announced a $74bn acquisition of Celgene that is yet to complete.
AstraZeneca has also shown impressive 7.7% CAGR, long promised by CEO Pascal Soriot, due to breakthroughs in the Chinese market
and high sales of its oncology products Tagrisso and Lynparza, rather than M&A.
Only Takeda and AstraZeneca are able to increase market share between 2018 and 2024. The Top 10 Pharma companies showed
-6.6% market share growth overall, with Roche alone contributing -1.4% to that figure.
Keytruda knocks Humira off the top spot; Revlimid falls out of top 3.
A $1.5bn increase in sales for Humira ensured AbbVie’s blockbuster remained the top selling product worldwide in 2018.
However, following a number of biosimilar launches in Europe and biosimilars set to hit the US in 2023, the 2024 EvaluatePharma® consensus forecast for Humira has decreased by $2.8bn compared to that given in last year’s report. This decrease, coupled with a strong year for Keytruda in terms of product sales, positive data from ongoing clinical trials and further FDA approvals, will allow Keytruda to pip Humira to the post and take the number one spot for 2024 forecasted sales. As a result of this, Keytruda is forecasted to widen the sales gap between its competitor Opdivo to over $5bn in 2024.
Sitting just outside of the top 3 with predicted 2024 sales of $11.3bn, the checkpoint inhibitor Opdivo continues to have strong sales in the anti-neoplastic MAbs segment despite contrasting analyst views with regards to its trajectory as we move towards 2024.
Falling out of the top 3 and down the rankings, worldwide sales of Revlimid are expected to fall with a CAGR of -3.2% between 2018 and 2024 to $8.1bn, with generic versions expected to hit the US market in 2022. Gilead’s Biktarvy continues to outshine all other HIV medications and climbs a place to sit in the top 10 this year,
boasting an impressive CAGR of +34.4% going into 2024 and sales of $7.0bn.
•• Spending on oncology medicines globally is
expected to grow by over 50% to exceed $100Bn
in 2018 driven by increases in cancer incidence of
up to 31% by 2020, and rising rates of melanoma
and kidney cancers.1
•• Absolute growth is expected to be $25-45Bn,
compared to $17Bn in the prior five years.
•• High numbers of global drug approvals and
launches in 2012 and 2013 and a strong pipeline
will drive higher growth in developed markets in
the forecast period.
•• Greater use of multi-targeted, or “stacked,”
treatments that demonstrate greater survival
benefit will also increase spending levels in
developed markets.
•• Biosimilars will play a greater role in cancer
treatment in pharmerging markets but are
expected to have limited impact in developed
countries over the next five years.
•• The U.S. market will see dramatic growth in
2014, due to the launch of innovative products,
lower impact from patent expirations and price
increases that are partially offset by rebates and
discounts and are not reflected in the forecasts.
•• The implementation of the Affordable Care
Act will have a positive impact on demand for
medicines during the first half of the forecast
period due to expanded enrollment in state
Medicaid programs and increased use of tax
credits to purchase private health insurance.
•• However, expanded coverage will increase
budgetary pressure on payers, with drug
spending being a popular target for cost
containment.
•• Biosimilars will target a limited number of
originator molecules during the forecast period,
and contribute to lower medicine spending for
those medicines, while biologics’ spending will
continue to grow faster than medicines overall,
driven by innovation.
•• In 2014, scheduled average price cuts of 5-6%
were offset by simultaneous value-added tax
(VAT) increases of nearly 3%, and market growth
was boosted by stockpiling prior to the VAT
implementation resulting in growth higher than a
typical price-cut year.
•• Innovative medicines will be a key driver of growth
as manufacturers are insulated from biennial price
cuts in return for new drug development as part of
reforms implemented in 2010.
•• Steep reductions in branded drug pricing postexpiry
and intensifying pressure on generic prices
are also intended to reduce spend.
•• Generic utilization remains low by international
standards, but is slowly increasing due to policies
and financial incentives aimed at doubling
generic usage by 2018.
•• Price cuts will deliver substantial cost reduction
but the market will still grow 1-4%.
•• While the population as a whole will decline, the
number of retirees —already accounting for a
quarter of all patients in Japan —continues to
increase and is expected to drive up demand for
medicines.
Drug spending concerns in emerging markets In emerging markets, public health care programs generally focus on the provision of free or heavily subsidized generic drugs. While subsidized access to innovative medicines is being pursued in a number of emerging markets, it is also linked to increased use of more sophisticated cost-control mechanisms (fgure 19).241
•• Spending level increases are tied to recently
expanded access, with 95% of the population
now covered by public health insurance plans.
•• Improvements to the healthcare infrastructure
and community health services are expected
under the current Five-Year Plan (2011-2015) and
will further grow the market through 2018.
•• Reform of the hospital sector will continue
to impact prescribing, as cost-containment
measures limit drug budgets to a fixed
percentage of total budget and reduce profits
obtained by hospitals for dispensing medicines.
•• Policy changes in 2014 will bring more drugs
under the remit of the National Development
and Reform Commission, including those to treat
serious diseases, exposing them to price ceilings
and in-market price cuts that will continue to
exert downward pressure on prices.
•• While public institutions remain the main
providers of hospital care, the growing number
of private hospitals is expected to drive demand,
providing shorter waiting times and better
conditions: the number of private hospitals
increased 15.9% in 2012 and policy aims are
to double private capacity to 20% of national
volume by 2015.
•• Latin America has the highest proportion of
growth from generics of any region; generics are
the largest driver everywhere but North America.
•• Increases in low-cost generics will continue to
be seen in Asia, including India and Pakistan,
as efforts to broaden access to basic health
insurance is pursued.
•• Locally manufactured generics will be the main
beneficiaries of rising demand in Latin America,
with local manufacturers increasing their share of
the market.
•• Innovative launches and price increases in North
America keep generic growth more tempered
than in other regions by offsetting genericization.
•• Locally manufactured generics are a key source
of affordable drugs in African markets, where
domestic manufacturers often enjoy preferential
treatment to encourage domestic production.
•• Demand for generics has outpaced overall
market growth rates in both Australia and New
Zealand, while the sector has also benefited from
a succession of major patent expiries.
•• The emergence of new therapies for hepatitis C
have brought that therapy area into the top 20
for both developed and pharmerging countries.
•• Oncology continues to be the largest category
in developed countries, and the largest specialty
area in pharmerging countries.
•• Leading classes in pharmerging markets are
dominated by pain, antibiotics and hypertension,
while in developed markets specialty categories
such as oncology and autoimmune diseases are
more prominent.
•• Six of the top 20 classes in developed markets will
face patent expiration in the next five years and
therefore declining growth.
Of course these top-level looks are interesting only up to a point. The following charts drill down to the broader indication level, to pinpoint areas of over- and underinvestment. These analyses plot the number of novel molecules in development against the number on the market, with the first taking a 30,000 foot view.
Oncology, specifically solid tumours, is once again in a different league, though the numerous organs that cancer can affect make this a very big therapeutic area. It should be remembered that this chart does not take account of epidemiology.
The attention that blood cancers have received is also apparent, and the ratio between pipeline and marketed assets is actually pretty similar to the solid tumour effort. Not so cardiovascular disease, a setting that is mostly comprised of hypertension drugs and cholesterol or other lipid lowers. The huge number of drugs on the market in this field points to the challenges in this space for new entrants, as developers of the anti-PCSK9 antibodies found.
On the flip side, eye disorders have a big pipeline of novel mechanisms coming through, as do dermatoses, a group which includes psoriasis and eczema. These looks like fields which will only get more competitive.
The final analysis here zooms into the bottom left hand corner of the above chart, to find the indications where few useful mechanisms have been found. Again, incidence is not factored in here, but this area of the chart does not only feature small disease areas.
Hepatic disorders, for example, include Nash, a potentially huge area. Dementia, which afflicts millions and on which the industry has been working for decades with very little success, is here too. Stroke has seen a few more drugs reach the market but remains poorly served; still, this remains a field for the bravest of developers.
But this analysis also throws up autoimmune disorders, a rare disease space that has seen an explosion of interest in recent years. This is where Alexion has found huge success with Soliris, and therapies for other complementmediated conditions are chasing that same model.
A lot of the smart money is still fishing for opportunities in this area of the chart: disease areas with inadequate standards of care and where big steps forward can be made, preferably delivered by a novel technology or mechanism.
That many of these opportunities are rare conditions is all the better, the thinking goes, as this often means augmented regulatory pathways and greater pricing power.
But pushback against the high prices that industry wants to charge for innovation is only growing stronger.
This fact must not be forgotten as investors or acquirers seek out and attempt to put a value on the next big thing.
Vaccines are not considered a particularly exciting area of biopharma but they remain a big growth area, albeit largely consolidated into the hands of three companies: Glaxosmithkline, Merck & Co and Sanofi.
Remarkably, a rare disease now stands as a sector growth driver, though cystic fibrosis is dominated by one company, Vertex Pharmaceuticals, which is capturing all the sales growth here. Another rare disease, the childhood wasting condition spinal muscular atrophy, is also just outside this analysis with an anticipated $900m in new sales next year, the majority of which come from Novartis’s gene therapy Zolgensma.
It is the huge cost of these products that places them in this analysis. Vertex’s new cystic fibrosis triple Trikafta was priced at $310,000 a year, while Zolgensma, a “one-and-done” treatment, comes in at just over $2m, making it the most expensive single payment drug in the world.
It is notable how few brakes exist next year, to the extent that biopharma’s total prescription sales are expected to grow by $50bn next year, according to EvaluatePharma.
This will not escape the notice of those attempting to keep a lid on drug prices.
Oncology stands out once again: The anti-PD-(L)1 players continue to throw huge amounts of money at these drugs, to support approvals in new indications and gain a competitive edge.
Once again, Keytruda is a league apart, though the billions that Merck is estimated to have spent on the drug are being returned in commercial success. Arguably, its smaller rivals in this space – Astrazeneca and Roche, for example – have yet to justify this level of spend.
Diabetes projects that require huge cardiovascular outcome studies will inevitably be expensive programmes to run, hence Novo Nordisk featuring here. Eli Lilly and Sanofi’s work in this disease area features in the look at expensive R&D programmes, above; Lilly has yet to start an outcome study for tirzepatide, a move that will require the company to be supremely confident in this product’s potential.
The cost of the Jak inhibitor programmes also stand out: the breadth of autoimmune conditions in which they are being tested, from rheumatoid arthritis to Crohn’s disease and ulcerative colitis, means these are expensive drugs to bring to market. Gilead and partner Galapagos are on track to launch the latest asset in this field next year; should filgotinib win approval, it is expected to quickly make a big impact, and its launch will be one of the most closely tracked next year.
Forecast worldwide R&D CAGR lower in 2018 through 2024 and proportion of R&D spend to pharmaceutical revenue to reduce.
Worldwide pharmaceutical R&D spend totalled $179bn in 2018 representing an increase of +6.5% on the previous year. Going
forward, R&D spend is forecast to grow at a CAGR of 3.0% between 2018 and 2024. This is comparable with a CAGR of 4.2% between 2010 and 2018, with an average proportion of R&D spend to pharmaceutical revenue for the same period of 19.8%, compared to 20.2% for 2018-24. Despite an initial peak in 2019, the proportion of R&D spend to pharmaceutical revenue falls quickly in subsequent years. This reduction in R&D spend could be an indication that companies are investing now to improve their future R&D efficiencies. Use of real world data combined with machine
learning techniques in addition to collaborative R&D programs, are a few of the initiatives being employed by companies to help them stay one step ahead in an era demanding more patient targeted drug development. Similarly, this reduction in R&D spend could be an indication that less revenue is being directed towards
replenishing pipelines.
One vital question remains, however; namely, what sort of model should companies use to effect these changes?
We believe that two principal models– federated and fully diversified – will emerge. We have also identified two variants of the federated model. In the virtual version, a company outsources most or all of its activities; in the venture version, it manages a portfolio of investments (see Figure 3). The two models are not mutually exclusive. A fully diversified company might choose to use a federated model for certain aspects of its business, and vice versa.
But we think that the federated model will ultimately dominate, primarily because it is quicker and more economical to implement.
The huge takeovers of Celgene and Allergan in 2019 and Shire the year before has produced some record-breaking M&A years for the biopharma sector in terms of the amount of capital deployed. On deal volume the story has been slightly different.
An uptick in M&A is typically predicted at the beginning of any new year, though the graph above suggests that this Christmas wish – on the part of that bankers and advisers at least – has failed to materialise in recent years.
The volume of acquisitions happening has stayed stubbornly flat since 2016.
Again, this analysis only concerns the deal making activity of drug developers – it excludes sectors like medtech and diagnostics, for example. It does however encompass all forms of acquisition, such as buyouts of business units or single product purchases.
The availability of capital, both public and private, has kept options open for young companies in recent years, so it is not surprising that the deal volumes have stayed flat. The state of the equity markets next year will help determine whether any power shifts back towards the buyers.
Some believe that the cash-rich bigger beasts of the sector, several of which are under pressure to find new sources of growth, will be forced to act next year. Gilead is frequently named as a group that needs to buy new growth.