Global AI in Medical Imaging Market to Surge from USD 2.34 Billion in 2023 to USD 20.21 Billion by 2030, At a CAGR of 36.07% 

Global AI in Medical Imaging Market to Reach USD 20.21 Billion by 2030, Growing at a 36.07% CAGR

Summary: The Global AI in Medical Imaging Market, valued at USD 2.34 billion in 2023, is projected to surge to USD 20.21 billion by 2030. This robust growth, driven by a compound annual growth rate (CAGR) of 36.07%, underscores the expanding role of artificial intelligence in revolutionizing medical diagnostics and imaging.

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Market Size: The AI in Medical Imaging Market has witnessed substantial growth, with its valuation at USD 2.34 billion in 2023. The market is anticipated to grow significantly, reaching approximately USD 20.21 billion by 2030. This growth reflects a remarkable CAGR of 36.07% during the forecast period.

Scope and Research Methodology: The MMR report provides a comprehensive analysis of the AI in Medical Imaging market through a dual lens of PESTLE (Political, Economic, Social, Technological, Legal, and Environmental) and PORTER analyses. This holistic approach evaluates external factors influencing market dynamics, as well as competitive aspects, including supplier and buyer bargaining power and the threat of new entrants and substitutes. This in-depth research equips businesses with valuable insights for strategic decision-making and identifying growth opportunities.

Report Coverage: The report offers an extensive examination of market trends, drivers, and barriers, and emphasizes the importance of advanced market mapping tools. It identifies significant opportunities for vertical integration and highlights the role of automation in shaping future market trends. This unique perspective aids businesses in leveraging emerging opportunities and staying ahead in the competitive landscape.

Overview: Artificial intelligence is increasingly integral to medical imaging, enhancing diagnostic accuracy and operational efficiency. The market’s growth is driven by advancements in AI technologies, rising healthcare demands, and the increasing adoption of AI-driven imaging solutions across various medical disciplines.

Dynamics: The AI in Medical Imaging market is propelled by factors such as technological advancements, rising healthcare expenditures, and growing demand for efficient diagnostic tools. The integration of AI technologies in imaging modalities like X-rays, MRIs, and CT scans is expected to further fuel market expansion. However, challenges such as high implementation costs and regulatory hurdles may impact growth.

Segmentation:

• By Imaging Mode: X-ray, MRI (Magnetic Resonance Imaging), Computed Tomography (CT) scans, Ultrasound Imaging, Others

• By Technology: Machine Learning, Natural Language Processing, Others

• By Application: Oncology, Neurology, Cardiology, Radiology, Others

• By End-User: Hospitals, Diagnostic Centers, Research Institutions

• By Deployment Mode: On-Premise, Cloud-Based

Key Players Include:

• North America: GE Healthcare, IBM Watson Health, NVIDIA Corporation, Aidoc, Butterfly Network

• Europe: Siemens Healthineers, Philips Healthcare, Sectra AB, Agfa-Gevaert Group, Zebra Medical Vision

• Asia-Pacific: Canon Medical Systems Corporation, Ping An Healthcare and Technology, Infervision, Carestream Health, Huiying Medical Technology

• Latin America: Grupo Fleury, Hospital Alemão Oswaldo Cruz, Inbrain Neuroelectronics, Inova, Radiologia Integrada

• Middle East and Africa: AIDoc Medical, AlemHealth, Quantib, Mirai Medical

Key Offerings:

• Market Share, Size, and Forecast by Revenue (2024-2030)

• Market Dynamics: Growth drivers, restraints, investment opportunities, and key trends

• Market Segmentation: Detailed analysis by imaging mode, technology, application, end-user, and deployment mode

• Competitive Landscape: Key players and their market strategies

Table of Contents:

1. Executive Summary

2. Market Overview

3. Market Size and Forecast

4. Scope and Methodology

5. Report Coverage

6. Market Dynamics

7. Segmentation Analysis

8. Competitive Landscape

9. Key Players

10. Regional Analysis

11. Key Offerings

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