Welcome!

IBM Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Stefan Bernbo

News Feed Item

Sample Preparation (Workstations, Liquid Handling Systems) Market - Global Forecasts to 2018

DUBLIN, IRELAND -- (Marketwired) -- 07/31/14 -- Research and Markets (http://www.researchandmarkets.com/research/78k5cx/sample) has announced the addition of the "Global Sample Preparation Market 2014-2018 by Product (Instruments, Consumables, Kits), Application (Genomics, Proteomics) & End Users (Molecular Diagnostics)" report to their offering.

The global sample preparation market is segmented on the basis of products, applications, and end users. Based on products the global market includes instruments, consumables, accessories and kits. Instruments are further classified into sample preparation workstations, liquid handling systems, extraction systems and others. Liquid handling systems comprises liquid handling workstations, pipetting systems, reagent dispensers, microplate washers and others.

The consumables comprise filters, columns, tubes, plates and others. Accessories include caps, disposable bags/box, rod covers, adapters, tip and tube holder, plate carrier. Sample Preparation kits further segmented into Purification kits (DNA, RNA, Nucleic Acid and Protein), Extraction kits (DNA, RNA, Nucleic Acid and Protein), Isolation kits (DNA, RNA, Nucleic Acid and Protein), and others (Cell Lysis kits and Clean- up kits).

Based on applications the global sample preparation market is broadly categorized into genomics, proteomics, epigenomics and others. Based on geography, the market is divided into North America, Europe, Asia, and the Rest of World (ROW). The market by end users segmented into molecular diagnostics, pharmaceuticals & biotechnology, applied testing, and academic research institutes. In 2013, the molecular diagnostics accounted for the largest share of the global market, by end users.

A number of factors such as technological advancements in workstations, global alliances amongst leading research institutes to boost drug discovery, increasing life science and R&D spending, technological advancements in analytical instruments are propelling the growth of the sample preparation market. However, difficulty in developing one-size-fits-all' kits and high costs of workstations are the major factors hindering the growth of this market.

Key Topics Covered:

1 Introduction

2 Executive Summary

3 Market Overview

4 Sample Preparation Market, By Product

5 Sample Preparation Market, By Application

6 Sample Preparation Market, By End User

7 Sample Preparation Market, By Geography

8 Competitive Landscape

9 Company Profiles


--  Agilent Technologies, Inc.
--  Bio-Rad Laboratories, Inc.
--  Danaher Corporation
--  Hamilton Company
--  Illumina, Inc
--  Merck Millipore
--  Norgen Biotek Corporation
--  Perkinelmer, Inc.
--  Qiagen N.V.
--  Roche Applied Science
--  Sigma-Aldrich Corporation
--  Tecan Group Ltd.
--  Thermo Fisher Scientific, Inc.

For more information visit http://www.researchandmarkets.com/research/78k5cx/sample

Sector: Computing and Technology

Over 400 of the Fortune 500 buy their research from Research and Markets. Some of our clients in the area of Computing and Technology include:


--  Apple Inc.
--  Intel Corporation
--  Microsoft Corporation
--  Philips
--  IBM Corp.
--  Samsung Electronics Co., Ltd.
--  McKinsey & Company, Inc.
--  Accenture plc
--  Vishay Electronic GmbH
--  Seagate Technology PLC
--  Lenzing AG
--  The Boston Consulting Group GmbH
--  Genetec
--  Marker LLC
--  DreamBox Learning
--  Roland Berger Strategy Consultants
--  and many more...

Contacts:
Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

Research and Markets
U.S. Fax: 646-607-1907
Fax (outside U.S.): +353-1-481-1716

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...