The brain cancer diagnostics market in Middle East and Africa is expected to grow from US$ 87.4 million in 2021 to US$ 237.0 million by 2028; it is estimated to grow at a CAGR of 15.3% from 2021 to 2028.
Artificial intelligence involves the use of powerful computers to perform tasks usually associated with human intelligence. A type of artificial intelligence called deep learning uses complex mathematical algorithms (sometimes called convolutional neural networks) to extract features from data and then "train" them. This training enables the algorithm to recognize patterns and perform tasks such as analysing images. To combine the powerful functions of the SRH imager with AI, the researchers began to perform algorithm training on the brain tumor tissue images produced by the SRH. The researchers pointed out that the ability of artificial intelligence technology and pathologists to verify each other highlights the need for pathologists to cooperate with artificial intelligence technology to interpret challenging cases and ensure the highest possible diagnostic accuracy. Both SRH and AI imaging are emerging technologies, so integrating them into healthcare will be challenging. AI technology enables surgeons to identify areas containing tumors or healthy tissue speedily and precisely. Thus, SRH‒artificial intelligence is being increasingly used to enhance brain tumor diagnosis during surgery. The pandemic has caused disruptions to health services worldwide and has impacted the ability of countries to address and respond to critical conditions like brain cancer. In many countries, diagnostics services have been disrupted, and supply chains for key commodities have been stretched. In Africa, COVID-19 has threatened the control of major health conditions including brain cancer. As COVID-19 continues to spread in Africa, there are concerns over its impact on market, limited diagnosis, and decreased access to expert neurosurgeons further impacting the market in the region. However, as the pandemic situation overcomes, the demand for several diagnostics modalities used in brain cancer diagnosis will increase.
With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the brain cancer diagnostics market. The Middle East and Africa brain cancer diagnostics market is expected to grow at a good CAGR during the forecast period.
Middle East and Africa Brain Cancer Diagnostics Market Segmentation
By Diagnostic Type
- Imaging Test
- MRI
- CT Scan
- PET
- Biopsy
- Molecular Testing
- Lumbar Puncture
- Others
By Cancer Type
- Glioblastoma Multiforme
- Astrocytomas
- Ependymomas
- Others
By End User
- Hospitals
- Specialty Clinics
- Ambulatory Surgical Centers
- Others
By Country
- Middle East and Africa
- UAE
- Saudi Arabia
- South Africa
- Rest of Middle East and Africa
Companies Mentioned
- Thermo Fisher Scientific Inc.
- Siemens Healthineers A
- GE Healthcare
- Biocept, Inc.
- Koninklijke Philips N.V
- Canon Medical Systems
- Hitachi, Ltd.
- Neusoft Medical Systems
Middle East and Africa Brain Cancer Diagnostics Report Scope
Report Attribute | Details |
---|---|
Market size in 2021 | US$ 87.4 Million |
Market Size by 2028 | US$ 237.0 Million |
Global CAGR (2021 - 2028) | 15.3% |
Historical Data | 2019-2020 |
Forecast period | 2022-2028 |
Segments Covered |
By Diagnostic Type
|
Regions and Countries Covered | Middle East and Africa
|
Market leaders and key company profiles |
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
- Excel Dataset
Recent Reports
Testimonials
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- Understanding Market Dynamics
- Competitive Analysis
- Identifying Emerging Markets
- Customer Insights
- Market Forecasts
- Risk Mitigation
- Boosting Operational Efficiency
- Strategic Planning
- Investment Justification
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- Aligning with Regulatory Trends

















