Brain Signal Analysis Software Market Outlook to 2017

Transcription

1 Brain Signal Analysis Software Market Outlook to 2017 published: Nov 2013 All rights reserved. This publication is protected by copyright. No part of it may be reproduced, stored in a retrieval system or transmitted, in any form or by any means, electronic mechanical, photocopying, recording or otherwise without the prior written permission of the publisher.

2 Table of Contents 1. Analyst View 2. Research Methodology 3. Brain Signal Software Analysis Market to Market Overview Software for Research Laboratory Software for Clinical Diagnosis and Monitoring 4. Opportunity Assessment 4.1 Polysomnography 4.2 Epilepsy Diagnosis and Treatment 4.3 ADHD Neurofeedback 4.4 Alzheimer s Disease - Diagnosis and Clinical Trials 4.5 Brain-Computer Interface 5. Competitive Landscape 5.1 Advanced Brain Monitoring Business Overview Key Software Strengths and Weaknesses 5.2 Applied Neuroscience Business Overview Key Software Strengths and Weaknesses 5.3 BESA Business Overview Key Software Strengths and Weaknesses 5.4 Brain Products Business Overview Key Software Strengths and Weaknesses

3 Table of Contents 5.5 Compumedics Business Overview Key Software Strengths and Weaknesses 5.6 Guger Technologies Business Overview Key Software Strengths and Weaknesses 5.7 Natus Medical Business Overview Key Software Strengths and Weaknesses 5.8 Nihon Kohden Business Overview Key Software Strengths and Weaknesses 5.9 Persyst Business Overview Key Software Strengths and Weaknesses 5.10 Source Signal Imaging Business Overview Key Software Strengths and Weaknesses

4 List of Figures Figure 3-1: Brain Signal Analysis Software Market (Million US$), Figure 3-2: Breakup of Brain Analysis Software Volume by License Ownership (%), 2012 Figure 3-3: Breakup of Brain Analysis Software Volume by End-User (%), 2012 Figure 3-4: Breakup of Brain Analysis Software Volume in Research Laboratories by Application (%), 2012 Figure 3-5: Breakup of Brain Analysis Software Volume in Clinical Laboratories by Application (%), 2012 List of Tables Table 4-1: PSG Software Market - Major Players Table 4-2: Epilepsy EEG Software Market - Major Players Table 4-3: Neurofeedback EEG Software Market - Major Players Table 4-4: BCI Software Market - Major Players Table 5-1: Advanced Brain Monitoring - Key Software Table 5-2: Advanced Brain Monitoring - Strengths and Weaknesses Table 5-3: Applied Neuroscience - Key Software Table 5-4: Applied Neuroscience - Strengths and Weaknesses Table 5-5: BESA - Key Software Table 5-6: BESA - Strengths and Weaknesses Table 5-7: Brain Products - Key Software Table 5-8: Brain Products - Strengths and Weaknesses Table 5-9: Compumedics - Strengths and Weaknesses Table 5-10: Guger Technologies - Strengths and Weaknesses Table 5-11: Natus Medical - Strengths and Weaknesses Table 5-12: Nihon Kohden - Strengths and Weaknesses Table 5-13: Persyst - Strengths and Weaknesses Table 5-14: Source Signal Imaging - Strengths and Weaknesses

5 Sample Sections from the Report Software for Research Laboratory The next major application area in the research space is neuro-engineering, which involves research around BCI and neurofeedback. Figure 3-4: Breakup of Brain Analysis Software Volume in Research Laboratories by Application (%), 2012 Life Science Neuro-Engineering Neuro-Marketing Source: RNCOS In research laboratories more than xx% of brain signal analysis software is used for life science research, which primarily focuses on observing the response of brain under various situations. This may involve cognitive studies, ERP studies, studies on effect of neurodegenerative diseases on brain etc. The next major application area in the research space is neuroengineering, which involves research around BCI and neurofeedback. The minimal constituent of the research segment is neuro-marketing which accounts for just x% of the total volume. It is expected that in the future too, life science will be the main segment for research laboratories and that this segment will witness the maximum growth. Within life sciences, impetus will be on studying various biomarkers that can help in earlier diagnosis of Alzheimer s disease. Growth will be there in the neuoengineering space too, but it will be moderate. A lot of research grants are being awarded to promote research on BCI and neurofeedback. Also, the recent recognition of the role of neurofeedback in ADHD research has brought this segment in the limelight. The one segment which is expected to see a decline is neuro-marketing. Though initially hyped, neuro-marketing has not really picked up as much steam as was expected, and it is experiencing a gradual decline.

6 Epilepsy Diagnosis and Treatment Introduction Epilepsy is a neurological condition, which affects the nervous system. It occurs as a result of abnormal electrical activity originating in the brain. Brain cells communicate by sending electrical signals in an orderly pattern. In epilepsy, these electrical signals become abnormal, giving rise to an electrical storm that produces seizures. These storms may be within a specific part of the brain or be generalized, depending on the type of epilepsy. Electroencephalography (EEG) is an essential component in the evaluation of epilepsy. During an EEG, the electrical signals of the brain are recorded. This electrical activity is detected by electrodes placed on the patient s scalp and transmitted to a machine that records the activity. Usually, the test is done in an outpatient clinical setting. But sometimes, in order to record the activity in brain over a few hours, days or weeks, ambulatory EEG systems may also be used. This allows more time for the test to pick up any unusual electrical activity in the brain, than during a standard EEG test. Common features of software in the market include: Automated detection and clustering of epileptiform discharges Spike and seizure detection Spectrum analysis EEG-video monitoring EEG-video monitoring refers to continuous EEG recorded for a more or less prolonged period with simultaneous video recording of the clinical manifestations. Having a correlation of the recorded behavior and the EEG activity, the diagnosis of seizures or non-epileptic attacks can be made definitely in nearly all cases. EEGvideo has become the standard criterion for diagnosis and is a must have feature in software offering. It is now available at most large referral centers with an epilepsy program, and more recently in many smaller hospitals and on an outpatient basis. EEG-video monitoring refers to continuous EEG recorded for a more or less prolonged period with simultaneous video recording of the clinical manifestations. Having a correlation of the recorded behavior and the EEG activity, the diagnosis of seizures or non-epileptic attacks can be made definitely in nearly all cases. EEGvideo has become the standard criterion for diagnosis and is a must have feature in software offering. It is now available at most large referral centers with an epilepsy program, and more recently in many smaller hospitals and on an outpatient basis. Important features that are provided by only a few players in the market include: Tools for analysis of long term EEG data Advanced spectrum analysis Brain mapping using LORETA

7 Table 4-2: Epilepsy EEG Software Market - Major Players S. No. Company Software 1 Alpha Trace Medical Systems NeuroSpeed; QEEG; TREND; CSA; DUAL SCREEN; Spike & Seizure detection Besa Epilepsy 1.0 Compumedics ProFusion 4 EEG EBNeuro Galileo NT Holberg Score EEG Mitsar EEGStudio, WinEEG 7 Natus Medical Incorporated Stellate/Gotman Spike and Seizure; GridView; NicoletOne Trends 8 9 Nihon Kohden Corporation Optima Neuroscience Video-link QP-110AK; Spike Detector QP-251AK; EEGFocus QP-211AK; QP-220AK; QP-150AK; Focus analysis IdentEvent Source: RNCOS Disease Statistics In the US, about xx Million people have epilepsy and approximately x new cases of epilepsy are diagnosed in the country each year. Epilepsy affects more than x Million people in Russia; x in Germany; x in France and about xx in the UK. China has an estimated xmillion people suffering from epilepsy and less than x% of them have received appropriate medical treatment. India too has around x Million people suffering from Epilepsy. Of late, the trend of neurosurgery for the treatment of epilepsy is catching up in the US where almost x% of epileptic patients are expected to opt for surgery. Centers providing surgery for the cure of epilepsy use long term EEG monitoring systems. They may place up to x electrodes on the cortex of patient to acquire higher quality brain recordings to improve patient outcomes. Such long term EEG monitoring systems however cost significantly higher than normal EEG systems and generally vary between US$ xx to US$ xx Million. Software that can acquire accurate signal detection and help in advanced brain mapping to pin-point the source of seizures as well as assist in surgery for the removal of brain tissues that result in seizures, can expect good market growth. The demand for such software is gradually picking up pace due to the rising number of Level-4 epileptic centers in US and EU. Currently in US there are more than xx dedicated Epilepsy Centers that provide advanced diagnostic and treatment services for epilepsy and approximately x hospitals which perform either routine LTEM or other neurological diagnostics and monitoring. Due to a lack of skilled epileptologists in countries like India and China, despite their being large patient bases, these countries currently do not represent high growth markets for epilepsy diagnosis and monitoring. However, with rising awareness about the positive role of EEG testing in epilepsy and people with higher disposable incomes demanding best available ways of curing their seizures, these two regions do represent a large potential market and should be carefully monitored for future prospects. In addition to epilepsy monitoring and treatment, the usage of brain signal analysis software is witnessing rapid growth in research. Companies are focusing on innovative researches that are often backed by large government funds. For instance, in the US, firms such as Seattle-based Neurovista are developing an implantable device and software that continuously analyses EEG data to detect impending seizures. A study is underway in Australia and trials have also started in US universities, using epileptic dogs. The project has received US$ xx Million through National Institutes of Health funding.

8 Research Methodology To begin the study, RNCOS team of analysts created an exhaustive list of players from the brain signal software market, focusing on their geographic presence, revenue, product features etc. After that, the team identified companies that it wanted to specifically target for the study. The team s main aim was to understand the business operations of companies and inquire their key personnel about their knowledge of the brain signal analysis software market. Therefore, the team prepared a questionnaire containing questions related to the scope of study. Parallely, RNCOS team of analysts that specializes in primary research identified key people from companies that develop brain signal analysis software, and initiated the process of telephonic interviews to gain insights. These interviews helped the team in generating and cross-verifying data that helped in market sizing and formulating growth forecasts. Insights from players also helped to make detailed profiles of market players with special focus on analyzing their strengths and weaknesses. The team was also able to gain insights into the possible growth opportunities and present them with prudent analysis in the report.

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