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시장보고서
상품코드
2088878
뇌종양 진단 및 치료 시장 : 치료법별, 진단법별, 종양 유형별, 종양 악성도별, 약제 분류별, 투여 경로별, 용도별, 최종 사용자별, 환자 연령층별 예측(2026-2032년)Brain Tumor Diagnosis & Therapeutics Market by Treatment Type, Diagnostic Modality, Tumor Type, Tumor Grade Type, Drug Class, Route Of Administration, Application, End User, Patient Age Group - Global Forecast 2026-2032 |
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360iResearch
뇌종양 진단 및 치료 시장은 2032년까지 연평균 복합 성장률(CAGR) 9.66%로 58억 달러 규모로 확대될 것으로 예측됩니다.
| 주요 시장 통계 | |
|---|---|
| 기준 연도 : 2025년 | 30억 4,000만 달러 |
| 추정 연도 : 2026년 | 33억 3,000만 달러 |
| 예측 연도 : 2032년 | 58억 달러 |
| CAGR(%) | 9.66% |
뇌종양의 진단 및 치료는 형태학 중심의 전문 분야에서 첨단 MRI 및 PET 영상 진단, 정위 생검, 분자 병리학, 수술 내비게이션, 방사선 치료 계획, 전신 요법, 종양 치료용 전기장, 그리고 경과 관찰을 아우르는 통합적인 정밀 신경종양학 시장으로 전환되고 있습니다.
임상적 필요성은 여전히 매우 큽니다. IARC GLOBOCAN 2022의 추산에 따르면, 전 세계적으로 약 32만 1,700건의 뇌 및 중추신경계 암 신규 환자와 24만 8,800명의 사망자가 발생할 것으로 예상되며, 한편, 미국의 CBTRUS 보고서에 따르면, 악성 및 비악성 종양을 합쳐 연간 9만 4,000건 이상의 원발성 뇌 및 중추신경계 종양이 진단되고 있습니다. 2021년 WHO 중추신경계 종양 분류는 조직학적 소견과 IDH 돌연변이, 1p/19q 공동결실, MGMT 프로모터 메틸화, TERT 프로모터 돌연변이, H3 K27 돌연변이와 같은 분자학적 특징을 통합함으로써, 바이오마커 기반 치료를 가속화했습니다.
뇌종양의 분류, 치료법 선택, 임상시험 설계가 점점 더 바이오마커 중심으로 이루어짐에 따라 의료의 양상은 변화하고 있습니다. 글리오마의 치료는 더 이상 조직형에만 의존하여 이루어지는 것이 아니며, 현재는 분자 프로파일링이 예후, 표적 치료의 적합성, 그리고 영상상 진행의 해석에 영향을 미치고 있습니다.
인공지능은 단일 기술이라기보다는 뇌종양 치료 과정 전반에 걸쳐 누적적인 원동력이 되어가고 있습니다. 영상 진단 분야에서는 AI를 활용한 분할을 통해 MRI 상에서 조영 증강을 보이는 종양, 부종, 괴사 및 치료에 따른 변화를 정량화할 수 있게 됩니다. 병리학 분야에서는 종양의 악성도 분류, 유사분열 평가, 메틸화 등급 예측, 그리고 분자 수준에서의 선별을 지원하는 계산 도구가 평가되고 있습니다.
북미는 밀집된 학술 암 센터 네트워크, MRI 및 신경외과 분야의 뛰어난 진료 역량, FDA 승인 기술, NCCN에 기반한 치료 경로, 그리고 활발한 임상시험 참가자 모집을 통해 뇌종양의 진단 및 치료 분야에서 여전히 주요 지역으로 자리매김하고 있습니다. 미국은 연방 정부의 연구 자금, 국가 암 프로그램, 대학 병원, 그리고 벤처 자본에 의한 의료 기술·생명공학 생태계를 통해 혁신을 주도하고 있는 반면, 캐나다는 공공 자금을 통한 암 의료 시스템과 신경종양학 공동 연구를 통해 기여하고 있습니다.
아세안 지역은 의료 접근성이 지역마다 제각각입니다. 싱가포르, 태국, 말레이시아에서는 수준 높은 신경종양학 의료 체계가 갖춰져 있는 반면, 인도네시아, 베트남, 필리핀과 같은 대규모 시장에서는 영상 진단, 병리 진단, 전문의 양성에 대한 보다 광범위한 투자가 요구되고 있습니다. 의료 제도에 따른 암 치료의 적용 범위가 확대되고, 민간 병원 네트워크가 첨단 MRI 및 방사선 치료 장비를 도입함에 따라 수요가 증가하고 있습니다.
미국은 FDA의 승인 절차, NCI 지정 암 센터, CBTRUS의 역학 인프라, 그리고 활발한 임상시험 활동을 바탕으로 뇌종양 진단 및 치료 분야에서 가장 큰 혁신의 중심지로 자리매김하고 있습니다. 캐나다는 국민건강보험제도, 주립 암 연구기관, 학술 연구 네트워크를 통해 이를 보완하고 있습니다. 한편, 멕시코와 브라질에서는 수요가 증가하고 있음에도 불구하고, 분자 검사, 방사선 치료 및 고비용 치료법에 있어 접근성 격차를 겪고 있습니다.
업계 리더는 MRI, 신경병리학, 분자 검사, 수술 계획, 방사선 치료, 전신 요법 및 경과 관찰을 연계하여, 진단부터 치료에 이르는 통합적인 경로를 구축하는 데 주력해야 합니다. IDH, BRAF, MGMT, 1p/19q, NTRK 및 기타 마커가 진단, 예후, 치료법 선택에 점점 더 큰 영향을 미치고 있으므로, 바이오마커에 대한 접근성은 상업적 우선순위로 다뤄져야 합니다.
본 요약본은 WHO 및 IARC의 GLOBOCAN 암 통계, CBTRUS의 역학 데이터, FDA 및 EMA의 규제 정보, NCCN 및 EANO의 임상 지침, NIH 및 NCI의 자료, 임상시험 등록 정보, 동료 심사를 거친 의학 문헌, 그리고 공개된 기관 정보 등, 일반적으로 공개된 권위 있는 정보원을 활용한 체계적인 2차 조사 기법에 기반을 두고 있습니다.
The Brain Tumor Diagnosis & Therapeutics Market is projected to grow by USD 5.80 billion at a CAGR of 9.66% by 2032.
| KEY MARKET STATISTICS | |
|---|---|
| Base Year [2025] | USD 3.04 billion |
| Estimated Year [2026] | USD 3.33 billion |
| Forecast Year [2032] | USD 5.80 billion |
| CAGR (%) | 9.66% |
Brain tumor diagnosis and therapeutics is moving from a morphology-led specialty to an integrated precision neuro-oncology market spanning advanced MRI, PET imaging, stereotactic biopsy, molecular pathology, surgical navigation, radiotherapy planning, systemic therapy, tumor treating fields, and longitudinal monitoring.
The clinical need remains substantial. IARC GLOBOCAN 2022 estimates approximately 321,700 new brain and central nervous system cancer cases and 248,800 deaths worldwide, while U.S. CBTRUS reporting indicates more than 94,000 primary brain and CNS tumors are diagnosed annually when malignant and non-malignant tumors are combined. The 2021 WHO Classification of CNS Tumors accelerated biomarker-driven care by integrating histology with molecular features such as IDH mutation, 1p/19q co-deletion, MGMT promoter methylation, TERT promoter mutation, and H3 K27 alterations.
The landscape is shifting as brain tumor classification, treatment selection, and clinical trial design become increasingly biomarker-led. Gliomas are no longer managed by histology alone; molecular profiling now influences prognosis, eligibility for targeted therapy, and interpretation of radiographic progression.
In surgery, technologies such as intraoperative MRI, fluorescence-guided resection with 5-ALA, neuronavigation, cortical mapping, and awake craniotomy are helping neurosurgeons maximize safe resection while protecting neurological function. In radiation oncology, stereotactic radiosurgery, hypofractionation, proton therapy, and adaptive planning are enabling more personalized dose delivery.
Therapeutics are also diversifying beyond temozolomide-based regimens. FDA approvals in recent years for targeted agents in BRAF-altered pediatric low-grade glioma and IDH-mutant glioma, along with continued use of tumor treating fields in glioblastoma, show a clear movement toward molecularly segmented care. Competitive organizations are aligning diagnostics, therapeutics, and real-world evidence generation into one integrated value proposition.
Artificial intelligence is becoming a cumulative enabler across the brain tumor pathway rather than a single-point technology. In imaging, AI-supported segmentation can help quantify enhancing tumor, edema, necrosis, and treatment-related change on MRI. In pathology, computational tools are being evaluated to support tumor grading, mitotic assessment, methylation-class prediction, and molecular triage.
The strongest near-term value is operational and clinical: faster radiology workflows, more reproducible volumetric assessment, improved radiation treatment planning, earlier identification of recurrence patterns, and more efficient trial screening. AI can also support radiomics-based risk stratification, although clinical adoption requires validation across scanners, institutions, patient demographics, and tumor subtypes.
Regulators increasingly emphasize transparency, performance monitoring, cybersecurity, and human oversight for AI-enabled medical devices. For industry leaders, success will depend on clinically validated algorithms, interoperability with PACS, EHR, pathology, and treatment planning systems, and evidence showing that AI improves decision quality without adding workflow burden.
North America remains a leading region for brain tumor diagnosis and therapeutics because of dense academic cancer center networks, high MRI and neurosurgical capacity, FDA-cleared technologies, NCCN-guided care pathways, and active clinical trial enrollment. The United States anchors innovation through federal research funding, national cancer programs, university hospitals, and venture-backed medtech and biotech ecosystems, while Canada contributes through publicly funded cancer systems and collaborative neuro-oncology research.
Europe is shaped by EMA oversight, EANO guidance, national health technology assessment, and strong reference centers in the United Kingdom, Germany, France, Italy, and Spain. The region is highly influential in evidence standards, reimbursement decisions, and multinational trials. Asia-Pacific is the most demographically significant opportunity, with Japan, South Korea, Australia, China, and India expanding advanced imaging, neurosurgery, radiotherapy, and molecular testing capacity at different speeds.
Latin America, led by Brazil and Mexico, shows growing demand but uneven access to MRI, pathology, radiotherapy, and innovative oncology drugs. The Middle East is strengthening tertiary care through GCC investments in oncology hospitals and digital health infrastructure. Africa faces the greatest access constraints, including shortages of neurosurgeons, radiotherapy units, neuropathology, and molecular diagnostics, making scalable capacity-building central to market development.
ASEAN presents a mixed-access environment where Singapore, Thailand, and Malaysia offer stronger tertiary neuro-oncology capacity, while larger markets such as Indonesia, Vietnam, and the Philippines require broader investment in imaging, pathology, and specialist training. Demand is rising as health systems expand cancer coverage and private hospital networks adopt advanced MRI and radiotherapy.
The GCC is prioritizing oncology infrastructure, medical tourism, and digital transformation, making it attractive for premium diagnostics, stereotactic radiation partnerships, and AI-enabled hospital workflows. The European Union offers a large, regulated market where centralized evidence standards, medical device regulation, and cross-border cancer initiatives support harmonized adoption, although reimbursement remains country-specific.
BRICS countries represent scale, epidemiologic need, and manufacturing potential, but adoption varies widely by reimbursement, regulatory maturity, and specialist availability. G7 markets remain the core engines for brain tumor innovation, clinical trials, and premium-pricing evidence. NATO countries are relevant through resilient medical supply chains, cybersecurity standards, and overlap with advanced North American and European healthcare systems that procure high-acuity oncology technologies.
The United States is the largest innovation hub for brain tumor diagnostics and therapeutics, supported by FDA pathways, NCI-designated cancer centers, CBTRUS epidemiologic infrastructure, and strong clinical trial activity. Canada complements this with universal healthcare, provincial cancer agencies, and academic research networks, while Mexico and Brazil present expanding demand but face access gaps in molecular testing, radiotherapy, and high-cost therapies.
In Europe, the United Kingdom combines NHS-led pathways with genomics initiatives; Germany offers strong hospital infrastructure, imaging access, and medical technology adoption; France is influential in oncology research and reimbursement evaluation; Italy and Spain maintain major neuro-oncology centers despite regional access variation; and Russia has domestic oncology capacity but faces constraints linked to technology access and international collaboration.
In Asia-Pacific, China is rapidly expanding oncology infrastructure, domestic biopharma innovation, and clinical trial capacity. India offers high patient volume and growing private-sector neuro-oncology capability but has affordability constraints. Japan, South Korea, and Australia are advanced markets with strong imaging, surgery, regulatory systems, and research participation, making them important launch and evidence-generation countries.
Industry leaders should build integrated diagnostic-to-treatment pathways that connect MRI, neuropathology, molecular testing, surgical planning, radiotherapy, systemic therapy, and follow-up monitoring. Biomarker access should be treated as a commercial priority because IDH, BRAF, MGMT, 1p/19q, NTRK, and other markers increasingly influence diagnosis, prognosis, and therapy selection.
Organizations should generate region-specific evidence, including survival, functional outcomes, workflow efficiency, cost-effectiveness, and real-world utilization. AI developers must design for interoperability, explainability, bias monitoring, and post-market performance surveillance. Therapeutics developers should pair targeted therapies with companion or complementary diagnostics and prioritize adaptive trial designs for rare molecular subtypes.
Market expansion should balance premium innovation with access models, including hub-and-spoke pathology networks, cloud-supported imaging review, training partnerships, and tiered pricing strategies in emerging markets.
This executive summary is based on a structured secondary research methodology using publicly available and authoritative sources, including WHO and IARC GLOBOCAN cancer statistics, CBTRUS epidemiology, FDA and EMA regulatory information, NCCN and EANO clinical guidance, NIH and NCI resources, clinical trial registries, peer-reviewed medical literature, and publicly disclosed institutional information.
Insights were triangulated across epidemiology, regulatory activity, clinical adoption, reimbursement signals, technology availability, and regional healthcare capacity. Emphasis was placed on verified facts, established clinical standards, and observable market shifts rather than unsupported market-size claims. Conclusion: Precision Neuro-Oncology Defines the Next Growth Phase
Brain tumor diagnosis and therapeutics is entering a precision-driven era defined by molecular classification, advanced imaging, targeted treatment, AI-enabled workflow optimization, and evidence-based access strategies. The burden of brain and CNS tumors remains high, and outcomes for aggressive tumors such as glioblastoma continue to create urgent demand for innovation.
The most successful organizations will not compete on single products alone. They will connect diagnostics, therapeutics, data, and care delivery into validated pathways that improve survival, preserve neurological function, and reduce unwarranted variation across regions. As neuro-oncology becomes more integrated, organizations that combine clinical credibility with scalable access models will be best positioned for sustainable growth.