Brain Signal Analysis Software Market Outlook to 2017
Brain signal analysis software represents a niche product category that caters to a very specific segment of the global medical device industry. They are used for advanced processing and analysis of the raw EEG data that is acquired using EEG machines on patients. As per our report, “Brain Signal Analysis Software Market Outlook to 2017”, the market for brain signal analysis software stood at around US$ 30 Million in 2012 and is expected to grow at a double-digit growth rate; higher than the traditional medical device market.
Across geographies, demand for such software is witnessing healthy growth in the US and EU. Due to a rapidly ageing population in Japan, which is already skewed on the older side, and a reforming economy, Japan also represents a region with immense potential for brain signal analysis software manufacturers. Regions of India, China and Africa, though have a huge unmet need, are still years behind in their technological arsenal in brain research and diagnosis. However, China is gradually picking up demand and might someday become a significant market for players.
Our research reveals that players in the market are mostly small with limited geographic presence. This presents an opportunity for new market entrants who can identify the regions with high market potential and low competition to launch their product. Besides, our study indicates that the market is not price sensitive and it is the range and flexibility of available analyses along with the speed of data processing that a software user looks at before purchasing the software. It is a market which focuses more on product quality rather than the price. Such a market is always open for new market entrants that can offer innovative products with unique differentiating product features.
The main factor propelling the growth of the market will be increase in its demand for epilepsy diagnosis and monitoring. Besides, rapidly expanding sleep labs in the world will also drive this growth. Also, this growth can really offshoot beyond expected limits if researchers successfully recognize EEG based biomarkers for early detection of Alzheimer’s disease. This will bring EEG into the mainstay of clinical diagnosis of Alzheimer’s disease, a field which has immense potential. Moreover, researchers are also reporting promising results from BCI research. If BCI picks up, as is expected from it, growth is expected to shoot up with it.
The research contains exhaustive information regarding the market dynamics, its current status and future outlook, opportunity assessment by application and analysis of key market players that will help clients in formulating apt market strategies and assess opportunity areas in the global brain signal analysis software market.
Across geographies, demand for such software is witnessing healthy growth in the US and EU. Due to a rapidly ageing population in Japan, which is already skewed on the older side, and a reforming economy, Japan also represents a region with immense potential for brain signal analysis software manufacturers. Regions of India, China and Africa, though have a huge unmet need, are still years behind in their technological arsenal in brain research and diagnosis. However, China is gradually picking up demand and might someday become a significant market for players.
Our research reveals that players in the market are mostly small with limited geographic presence. This presents an opportunity for new market entrants who can identify the regions with high market potential and low competition to launch their product. Besides, our study indicates that the market is not price sensitive and it is the range and flexibility of available analyses along with the speed of data processing that a software user looks at before purchasing the software. It is a market which focuses more on product quality rather than the price. Such a market is always open for new market entrants that can offer innovative products with unique differentiating product features.
The main factor propelling the growth of the market will be increase in its demand for epilepsy diagnosis and monitoring. Besides, rapidly expanding sleep labs in the world will also drive this growth. Also, this growth can really offshoot beyond expected limits if researchers successfully recognize EEG based biomarkers for early detection of Alzheimer’s disease. This will bring EEG into the mainstay of clinical diagnosis of Alzheimer’s disease, a field which has immense potential. Moreover, researchers are also reporting promising results from BCI research. If BCI picks up, as is expected from it, growth is expected to shoot up with it.
The research contains exhaustive information regarding the market dynamics, its current status and future outlook, opportunity assessment by application and analysis of key market players that will help clients in formulating apt market strategies and assess opportunity areas in the global brain signal analysis software market.
1. ANALYST VIEW
2. RESEARCH METHODOLOGY
3. BRAIN SIGNAL SOFTWARE ANALYSIS MARKET TO 2017
3.1 Market Overview
3.1.1 Software for Research Laboratory
3.1.2 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
5.1.1 Business Overview
5.1.2 Key Software
5.1.3 Strengths and Weaknesses
5.2 Applied Neuroscience
5.2.1 Business Overview
5.2.2 Key Software
5.2.3 Strengths and Weaknesses
5.3 BESA
5.3.1 Business Overview
5.3.2 Key Software
5.3.3 Strengths and Weaknesses
5.4 Brain Products
5.4.1 Business Overview
5.4.2 Key Software
5.4.3 Strengths and Weaknesses
5.5 Compumedics
5.5.1 Business Overview
5.5.2 Key Software
5.5.3 Strengths and Weaknesses
5.6 Guger Technologies
5.6.1 Business Overview
5.6.2 Key Software
5.6.3 Strengths and Weaknesses
5.7 Natus Medical
5.7.1 Business Overview
5.7.2 Key Software
5.7.3 Strengths and Weaknesses
5.8 Nihon Kohden
5.8.1 Business Overview
5.8.2 Key Software
5.8.3 Strengths and Weaknesses
5.9 Persyst
5.9.1 Business Overview
5.9.2 Key Software
5.9.3 Strengths and Weaknesses
5.10 Source Signal Imaging
5.10.1 Business Overview
5.10.2 Key Software
5.10.3 Strengths and Weaknesses
2. RESEARCH METHODOLOGY
3. BRAIN SIGNAL SOFTWARE ANALYSIS MARKET TO 2017
3.1 Market Overview
3.1.1 Software for Research Laboratory
3.1.2 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
5.1.1 Business Overview
5.1.2 Key Software
5.1.3 Strengths and Weaknesses
5.2 Applied Neuroscience
5.2.1 Business Overview
5.2.2 Key Software
5.2.3 Strengths and Weaknesses
5.3 BESA
5.3.1 Business Overview
5.3.2 Key Software
5.3.3 Strengths and Weaknesses
5.4 Brain Products
5.4.1 Business Overview
5.4.2 Key Software
5.4.3 Strengths and Weaknesses
5.5 Compumedics
5.5.1 Business Overview
5.5.2 Key Software
5.5.3 Strengths and Weaknesses
5.6 Guger Technologies
5.6.1 Business Overview
5.6.2 Key Software
5.6.3 Strengths and Weaknesses
5.7 Natus Medical
5.7.1 Business Overview
5.7.2 Key Software
5.7.3 Strengths and Weaknesses
5.8 Nihon Kohden
5.8.1 Business Overview
5.8.2 Key Software
5.8.3 Strengths and Weaknesses
5.9 Persyst
5.9.1 Business Overview
5.9.2 Key Software
5.9.3 Strengths and Weaknesses
5.10 Source Signal Imaging
5.10.1 Business Overview
5.10.2 Key Software
5.10.3 Strengths and Weaknesses
LIST OF FIGURES:
Figure 3-1: Brain Signal Analysis Software Market (Million US$), 2012-2017
Figure 3-2: Breakup of Brain Analysis Software Volume by License Ownership (%), 2012
Figure 3-3: Breakup of Brain Analysis Software Volume by End-User (%), 2012
Figure 3-4: Breakup of Brain Analysis Software Volume in Research Laboratories by Application (%), 2012
Figure 3-5: Breakup of Brain Analysis Software Volume in Clinical Laboratories by Application (%), 2012
Figure 3-1: Brain Signal Analysis Software Market (Million US$), 2012-2017
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
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
