AI in Medical Imaging Market to Boom at 36.07% CAGR, Reaching $14.9 Billion by 2029
The global AI in medical imaging market is poised for a surge, with a projected value of USD 14.9 billion by 2029. This translates to a significant compound annual growth rate (CAGR) of 36.07% from 2022, according to a new report by Maximize Market Research. This growth is fueled by the increasing adoption of artificial intelligence in healthcare and its ability to improve medical imaging analysis.
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Market Overview
AI is revolutionizing medical imaging by assisting healthcare professionals in tasks like disease detection, treatment planning, and image analysis. This technology offers enhanced accuracy, efficiency, and improved patient outcomes.
Market Scope and Methodology
Maximize Market Research's report provides a comprehensive analysis of the AI in medical imaging market. It delves into market size and growth forecasts, key drivers and restraints, and in-depth segmentation. The research leverages established methodologies like Porter's Five Forces Analysis and PESTLE analysis to offer valuable insights into the competitive landscape and market dynamics.
Market Segmentation
The report segments the AI in medical imaging market by various factors, including imaging mode (X-ray, MRI, CT scans, etc.), technology (machine learning, natural language processing), application (oncology, neurology, cardiology, etc.), end-user (hospitals, diagnostic centers, research institutions), and deployment mode (on-premise and cloud-based).
Regional Insights
The report offers a detailed regional analysis, covering North America, Latin America, Europe, Asia Pacific (APAC), Africa, and the Middle East. Each region's market potential, growth drivers, and challenges are explored to aid informed decision-making. The APAC region is expected to witness the fastest growth due to factors like rising healthcare expenditure and government initiatives promoting AI adoption.
Key Players
- North America: GE Healthcare (US), IBM Watson Health (US), NVIDIA Corporation (US), Aidoc (US), Butterfly Network (US)
- Europe: Siemens Healthineers (Germany), Philips Healthcare (Netherlands), Sectra AB (Sweden), Agfa-Gevaert Group (Belgium), Zebra Medical Vision (Israel)
- Asia Pacific: Canon Medical Systems Corporation (Japan), Ping An Healthcare and Technology Company Limited (China), Infervision (China), Carestream Health (US), Huiying Medical Technology Co., Ltd. (China)
- Latin America: Grupo Fleury (Brazil), Hospital Alemão Oswaldo Cruz (Brazil), Inbrain Neuroelectronics (Spain), Inova (Mexico), Radiologia Integrada (Chile)
- Middle East and Africa: AIDoc Medical (Israel), AlemHealth (United Arab Emirates), Quantib (South Africa), Mirai Medical (South Africa)
Key Questions Answered
- What is the current size and projected growth of the AI in medical imaging market?
- What are the primary factors driving the market's growth?
- What challenges are hindering the market's expansion?
- Which region holds the largest market share and which regions are expected to witness the fastest growth?
- Who are the leading players in the AI in medical imaging market?
- What are the upcoming trends that will shape the future of the market?
Key Offerings
- Market share, size, and forecast by revenue for the period 2024-2029
- In-depth analysis of market dynamics – growth drivers, restraints, opportunities, and key trends
- Market segmentation analysis by imaging mode, technology, application, end-user, and deployment mode
- Competitive landscape assessment of leading and emerging players
- Valuable insights for market participants for strategic planning
Reasons to Buy This Report
- Gain market insights to make informed investment decisions in the AI in medical imaging space.
- Identify lucrative growth segments and target markets for your business.
- Analyze the competitive landscape and develop effective business strategies.
- Understand key market trends and prepare for the future of AI in medical imaging.
Table of Contents: ###
Chapter 1: Overview of ###
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis
Chapter 6: Market Competition Status by Major Manufacturers
Chapter 7: Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis
Chapter 9: Cost and Gross Margin Analysis
Chapter 10: Marketing Status Analysis
Chapter 11: Market Report Conclusion
Chapter 12: Research Methodology and Reference
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