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Global Brain PET-MRI Systems Market to reach USD 485.8 Million by the end of 2030

Global Brain PET-MRI Systems Market Size study & Forecast, by Phase (Clinical, Pre-Clinical), by Product (Traditional PET-MRI Systems, Helium-Free PET-MRI Systems), by End-Use (Hospitals, Diagnostic Imaging Centers, Others), and Regional Analysis, 2023-2030

Product Code: HLSMDE-61640613
Publish Date: 10-08-2023
Page: 200

Global Brain PET-MRI Systems Market is valued approximately at USD 326.3 Million in 2022 and is anticipated to grow with a growth rate of more than 5.1% over the forecast period 2023-2030. Brain PET-MRI systems are advanced medical imaging devices that combine the functional and molecular imaging capabilities of positron emission tomography (PET) with the detailed anatomical imaging provided by magnetic resonance imaging (MRI). These systems are specifically designed for capturing high-resolution images of the brain, offering comprehensive insights into its structure, function, and metabolic activity. The application of Brain PET-MRI systems is diverse and spans various fields, including neurology, psychiatry, and neuro-oncology. The utilization of Brain PET-MRI systems offers a holistic approach to brain imaging by combining functional, anatomical, and molecular information in a single scan. The driving factors that are boosting the market growth is advancement in imaging technology, rising prevalence of Neurological Disorders, growing importance of Precision Medicine.

According to the World Health Organization (WHO), up to one billion people globally are affected by a wide range of neurological disorders, including epilepsy, Alzheimer’s disease, stroke, headaches, brain injuries, neuroinfections, multiple sclerosis, and Parkinson’s disease. This increase in neurological disorders poses significant challenges and impacts individuals, families, and healthcare systems globally. The global precision medicine market is also contributing to the market growth. According to Statista, the global market for neurological disorders is projected to reach over 140 billion dollars by 2026. Moreover, integration of AI (Artificial Intelligence) and ML (Machine Learning) technologies is expected to create lucrative opportunities for the market growth. However, the high cost of PET-MRI Systems and limited availability to major healthcare institutions or research centers stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Brain PET-MRI Systems Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share due to the growing prevalence of neurological disorders in the region, the American Neurological Association has reported that the most commonly observed neurological disorders in the United States include Alzheimer’s disease, stroke, traumatic brain injury, epilepsy, multiple sclerosis, and Parkinson’s disease. However, Asia Pacific is expected to be the fastest growing region during the forecast period, owing to a rise in the utilization of advanced diagnostic machines within research centers and universities, fueling the market growth. The increasing demand for diagnostic systems in countries such as India, Japan, and China is expected to be a key driver for the regional market in the coming years.

Major market player included in this report are:
Siemens Healthineers AG
Cubresa Inc.
Aspect Imaging Ltd.
Mediso Ltd.
Koninklijke Philips N.V.
Canon Medical Systems Corporation
Quality Electrodynamics
Shenzhen Mindray Bio-Medical Electronics Co.
GE Healthcare
MR Solutions

Recent Developments in the Market:
Ø In January 2023, Canon Medical Systems USA Inc., a subsidiary of Canon Medical Systems Corporation, has successfully finalized a strategic partnership agreement with ScImage, Inc. This collaboration brings together Canon’s expertise in cutting-edge diagnostic imaging technology and ScImage’s capabilities, fostering advancements in the field of medical imaging.
Ø In June 2023, Mindray has launched its BeneFusion i Series and u Series infusion systems, designed to provide enhanced precision, adaptive customization, and simplified operation, ensuring a high level of medication safety in diverse clinical settings. The new series will initially be available in specific countries and regions, offering healthcare professionals advanced infusion technology for improved patient care.
Ø In April 2023, Siemens Healthineers expanded its manufacturing operations in India with the inauguration of an MRI facility in Bengaluru. This development is in line with the Government of India’s PLI (Production-Linked Incentive) scheme. The facility’s primary focus will be on manufacturing MAGNETOM Free.Star, a helium-free and user-friendly MRI system that offers high-quality imaging.

Global Brain PET-MRI Systems Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Phase, Product, End-Use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Phase:

By Product:
Traditional PET-MRI Systems
Helium-Free PET-MRI Systems

By End-Use:
Diagnostic Imaging Centers

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Brain PET-MRI Systems Market, by region, 2020-2030 (USD Million)
1.2.2. Brain PET-MRI Systems Market, by Phase, 2020-2030 (USD Million)
1.2.3. Brain PET-MRI Systems Market, by Product, 2020-2030 (USD Million)
1.2.4. Brain PET-MRI Systems Market, by End-Use, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Brain PET-MRI Systems Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Brain PET-MRI Systems Market Dynamics
3.1. Brain PET-MRI Systems Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Advancement in Imaging Technology Growing prevalence of Neurological Disorders Growing importance of Precision Medicine
3.1.2. Market Challenges High Cost of PET-MRI Systems Limited availability to major healthcare institutions or research centres
3.1.3. Market Opportunities Integration of AI and ML technologies
Chapter 4. Global Brain PET-MRI Systems Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Brain PET-MRI Systems Market, by Phase
5.1. Market Snapshot
5.2. Global Brain PET-MRI Systems Market by Phase, Performance – Potential Analysis
5.3. Global Brain PET-MRI Systems Market Estimates & Forecasts by Phase 2020-2030 (USD Million)
5.4. Brain PET-MRI Systems Market, Sub Segment Analysis
5.4.1. Clinical
5.4.2. Pre-Clinical
Chapter 6. Global Brain PET-MRI Systems Market, by Product
6.1. Market Snapshot
6.2. Global Brain PET-MRI Systems Market by Product, Performance – Potential Analysis
6.3. Global Brain PET-MRI Systems Market Estimates & Forecasts by Product 2020-2030 (USD Million)
6.4. Brain PET-MRI Systems Market, Sub Segment Analysis
6.4.1. Traditional PET-MRI Systems
6.4.2. Helium-Free PET-MRI Systems
Chapter 7. Global Brain PET-MRI Systems Market, by End-Use
7.1. Market Snapshot
7.2. Global Brain PET-MRI Systems Market by End-Use, Performance – Potential Analysis
7.3. Global Brain PET-MRI Systems Market Estimates & Forecasts by End-Use 2020-2030 (USD Million)
7.4. Brain PET-MRI Systems Market, Sub Segment Analysis
7.4.1. Hospitals
7.4.2. Diagnostic Imaging Centers
7.4.3. Others
Chapter 8. Global Brain PET-MRI Systems Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Brain PET-MRI Systems Market, Regional Market Snapshot
8.4. North America Brain PET-MRI Systems Market
8.4.1. U.S. Brain PET-MRI Systems Market Phase breakdown estimates & forecasts, 2020-2030 Product breakdown estimates & forecasts, 2020-2030 End-Use breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Brain PET-MRI Systems Market
8.5. Europe Brain PET-MRI Systems Market Snapshot
8.5.1. U.K. Brain PET-MRI Systems Market
8.5.2. Germany Brain PET-MRI Systems Market
8.5.3. France Brain PET-MRI Systems Market
8.5.4. Spain Brain PET-MRI Systems Market
8.5.5. Italy Brain PET-MRI Systems Market
8.5.6. Rest of Europe Brain PET-MRI Systems Market
8.6. Asia-Pacific Brain PET-MRI Systems Market Snapshot
8.6.1. China Brain PET-MRI Systems Market
8.6.2. India Brain PET-MRI Systems Market
8.6.3. Japan Brain PET-MRI Systems Market
8.6.4. Australia Brain PET-MRI Systems Market
8.6.5. South Korea Brain PET-MRI Systems Market
8.6.6. Rest of Asia Pacific Brain PET-MRI Systems Market
8.7. Latin America Brain PET-MRI Systems Market Snapshot
8.7.1. Brazil Brain PET-MRI Systems Market
8.7.2. Mexico Brain PET-MRI Systems Market
8.8. Middle East & Africa Brain PET-MRI Systems Market
8.8.1. Saudi Arabia Brain PET-MRI Systems Market
8.8.2. South Africa Brain PET-MRI Systems Market
8.8.3. Rest of Middle East & Africa Brain PET-MRI Systems Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Siemens Healthineers AG Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Cubresa Inc.
9.3.3. Aspect Imaging Ltd.
9.3.4. Mediso Ltd.
9.3.5. Koninklijke Philips N.V.
9.3.6. Canon Medical Systems Corporation
9.3.7. Quality Electrodynamics
9.3.8. Shenzhen Mindray Bio-Medical Electronics Co.
9.3.9. GE Healthcare
9.3.10. MR Solutions
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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