Automated Biobanking - The Next Big Leap for Biorepositories

Automated Automated BiobankingBiobanking--The The Next Big Leap for Next Big Leap for BiorepositoriesBiorepositories

Divyaa Ravishankar, Senior Research Analyst

HealthcareHealthcare

24 April 2012

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Today’s Presenter

Functional Expertise

� 7 years of life sciences expertise which mainly constitutes lab research and market research.

� Working with new technologies incorporated in lab research.

� Identifying emerging technologies and tracking technological and market developments across the life sciences domain.

� Competitive Intelligence, Qualitative Research (Primary and Secondary Research),Competitive Analysis, Company Best Practices Analysis, Spreadsheet Market Sizing and Forecasting Models, Research Design, Client Relationship Management.

Industry Expertise

Place photo hereShadow Background for effect

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� Industry Expertise

� Lab research experience in the areas such as:

- Diagnostic Testing by Immuno-Chromatographic Techniques.

- Genetic Testing & HLA typing.

� Experience base covering broad range of sectors, leveraging long-standing working relationships with leading industry participants globally in areas like:

- Drug Discovery

- Clinical Diagnostics

- Pharmaceuticals and Biotechnology

- Donor Registries

Education

• Master of Science (Hons.) in Biological Sciences from Birla Institute of Technology and Science, Pilani, India.

Divyaa Ravishankar

Senior Research Analyst,

Healthcare - EuropeFrost & Sullivan

Focus Points

Automated Biobanking – The Next Big Leap for Biorepositories

Automated Biobanking Global Overview – Key Segments of Growth

Industry Drivers & Challenges

Biobanking Needs – Demand Analysis

1.

2.

3.

3

Focus Points

Biobanking Needs – Demand Analysis

Segment wise – Key Market Participants

Regional Focus and Key projects

Key Strategies and Conclusions

3.

4.

5.

6.

Market Overview

Goal• Analyze the dynamics and trends of automation into the biobanking sector and project the future outlook for

the various segments globally for the base year 2011 and the forecast period 2012-2018.

Market Definition.

• Biobanks range from informal storage of hundreds of specimen in an individual freezer to large scale formal repositories that manage millions of specimens.

Market Segments

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. • Liquid handling and robotics, Automated compound storage and other sample management systems, LIMS and

Consumables

Market Summary

• The global automation market for biobanking application in 2011 accounted for $818.0 Million growing at a CAGR of 8.2 percent.

• Each year around 100 million samples are being added to the biobanks worldwide.

Segment Overview

Revenue by Segment

Source: Frost & Sullivan analysis.

5

Automated Liquid Handling

Systems & Robotics

Automated Compound

Storage & Sample Management

systems

Laboratory Information

Management Systems (LIMS)

Consumables

• Robotic arms and

automated sample

processors

• Nucleic acid preparation

systems

• Fractionation systems

• Low volume and high

volume sample dispensing

workstations

• Bench top pipetting

platforms

• Multiprobe dispensing

heads

• Solutions that help in:

• Automated Sample retrieval ,

storage and management.

• Automated management of

sample libraries

• Large and small-scale storage

of compounds held in varying

plate and tube formats

• Ambient to -80 degree cold

stores

Data management of biosample

storage- aided by various

sample management softwares

Vials,Seals

Barcode labels,

Tips,

Deep well Microplate

Microfuge

Tubes/Storage Tubes


Workflow and Equipment Portfolio

Sample Collection

Transportation

Sample

Sample Processing and Liquid Handling

Biobanking Workflow Equipment Portfolio

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Sample

Processing

Sample Storage

Analysis,

Reporting and

Billing

LIMS Automated Cold Storage

Consumables

Analytical Tools

LIMS


Challenges and Drivers

Challenges��Technological challenges arising due to comparison of research results obtained by using specimens from two different biobanks as no two biobanks operate in a similar way.�� Funding and financial maintenance of public biobanks infrastructure becoming tougher in the long run.�� Automation in the area of sample storage and retrieval systems still immature for ultra low temperatures and longer durations.

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Opportunities

�� Increased growth perceived in Europe and Asia owing to upcoming population and disease based biobank projects.�� Automation increases the efficiency of a biobank.�� Increased LIMS capabilities enhance the prospects and degree of automation within the biobank community.

Source: Frost & Sullivan.

Organizational ChallengesDash Board

Score

Obtaining Funding for Systems

Support from Upper

Management

Demand Analysis

Key Findings of Frost & Sullivan End User Survey

0

5

10LowLow HighHigh

0

5

10

Biobank Access

Completely Free

25.0%

Free & Restricted

50.0%

8

Management

Qualified Staff to Operate

Time and Resource for Training

on System

Justify ROI/ System

Accountability

0 10LowLow HighHigh

0

5

10LowLow HighHigh

0

5

10LowLow HighHigh

0

5

10LowLow HighHigh

Both Free & Paid5.0%

Only Paid Services

20.0%

Interest in Automation

10 being high level challenge;5 being medium level challenge0 being low level challenge



Key Market Participants

TecanTecan

Automated Liquid Handling & robotics

Automated Compound Storage & Sample

Management systems

Brooks Life ScienceBrooks Life Science

Key Segment Participants

Beckman CoulterBeckman Coulter EppendorfEppendorf HamiltonHamilton Perkin ElmerPerkin Elmer Thermo Fisher ScientificThermo Fisher Scientific

TAP BiosystemsTAP Biosystems Brooks Life ScienceBrooks Life Science Hudson RoboticsHudson Robotics CybioCybio AutogenAutogenAgilentTechnologiesAgilentTechnologies

Matrical BiosciencesMatrical Biosciences

TTP LabtechTTP Labtech

Liconic InstrumentsLiconic Instruments

TAP BiosystemsTAP Biosystems

Thermo Fisher ScientificThermo Fisher Scientific

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Management systems

LIMS

Consumables

Matrical BiosciencesMatrical Biosciences Liconic InstrumentsLiconic Instruments Thermo Fisher ScientificThermo Fisher Scientific

Thermo Fisher ScientificThermo Fisher Scientific

LabvantageLabvantage

Starlims CorpStarlims Corp

LabwareLabware Perkin ElmerPerkin Elmer

OcimumBiosolutionsOcimumBiosolutions

AutoscribeAutoscribe

MicronicMicronicCorning LifeScienceCorning LifeScience

Thermo FisherScientificThermo FisherScientific

HamiltonHamilton

WheatonWheaton

MatricalBioscienceMatricalBioscience

EppendorfEppendorf

Brooks Life ScienceBrooks Life Science

TAP BiosystemsTAP Biosystems

Greiner Bio - OneGreiner Bio - One

TecanTecan


Regional Analysis

Regional Revenue Contribution Growth Rate Trends

10

NORTH AMERICA EUROPE ASIA Rest of World

The United States Western Europe India Africa

Canada Eastern Europe East Asia (China. Korea, Taiwan) South America

South East Asia ( Malaysia, Singapore, Indonesia )Oceania (Australia and

New Zealand)

Middle East Asia

Source: Frost & Sullivan analysis. Source: Frost & Sullivan analysis.

Strategic Conclusions & Recommendations

The falling cost of genomic technologies is expanding the scale and

scope of biobanking research.

Pharma companies are

Strategic alliances and partnerships with technology leaders, academic biobanks and small regional participants will enhance market penetration.

Strategic alliances and partnerships with technology leaders, academic biobanks and small regional participants will enhance market penetration.

So What?

Understanding the needs of the biobank and addressing the infrastructure limitations is the Understanding the needs of the biobank and addressing the infrastructure limitations is the

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Pharma companies are moving towards

outsourcing to third party biobanks.

Vertical integration is one of the ongoing methods to tide over the different technologies existent for laboratory automation in a cost-

effective manner

Adapting open standards in development alleviates compatibility issuesAdapting open standards in development alleviates compatibility issues

addressing the infrastructure limitations is the key to the success of automation systems.addressing the infrastructure limitations is the key to the success of automation systems.


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