AI-Based Surgical Robots Market Outlook Report 2023-2032 | Trends, Analysis, Insights, Overview

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The AI-based Surgical Robots Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s AI-based Surgical Robots Global Market Report 2024, The ai-based surgical robots market size has grown exponentially in recent years. It will grow from $5.73 billion in 2023 to $6.88 billion in 2024 at a compound annual growth rate (CAGR) of 20.0%.  The  growth in the historic period can be attributed to aging population, demand for minimally invasive surgery, rise in healthcare expenditure, need for patient safety, increased prevalence of chronic diseases.

The ai-based surgical robots market size is expected to see rapid growth in the next few years. It will grow to $13.12 billion in 2028 at a compound annual growth rate (CAGR) of 17.5%.  The growth in the forecast period can be attributed to telemedicine and remote surgery, increasing investment, increasing number of robotic surgeries, shortage of medical professionals, . Major trends in the forecast period include ai and machine learning integration, robotics-as-a-service (raas), miniaturization and portability, surgical data analytics, patient-specific surgical planning, interdisciplinary collaboration.

The increase in the adoption of technologically advanced robots by surgeons for various applications has contributed to the growth of the AI-based surgical robots market. Robots are automated machines that can perform pre-programmed tasks. With the advancement in technology AI technology is also being used to improve, the efficiency, accuracy, and performance of robots. AI-based surgical robots are used in various surgeries and specialties such as neurology, urology, ENT, thoracic surgery, colorectal surgery, and others. For instance, in 2023, according to Oliver Wyman, a US-based management consulting firm, robotic surgery is used in 2% of surgeries across Europe and about 15% in the US . Therefore, the increasing adoption of technologically advanced robots by surgeons for various applications is driving the growth of the AI-based surgical robot market.

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The ai-based surgical robots market covered in this report is segmented –

1) By Product: Services, Instrument and Accessories

2) By Application: Orthopedics, Neurology, Urology, Gynecology, Other Applications

3) By End User: Hospitals, Ambulatory Surgical Centres

Top Major Players:
Accuray Incorporated
Intuitive Surgical Inc
Medtronic PLC
Medrobotics Corporation
Zimmer Biomet Holdings Inc

The development of new products is a key trend gaining popularity in the AI-based surgical robot’s market. Major companies operating in the market are developing new products to strengthen their position in the market. For Instance, in December 2022, Suzhou Kang Duo Robot Co., a China-based medical company, launched Kang Duo Surgical Robot-01 (KD SR 01). The device completed a robot-assisted radical pyeloplasty. These surgeries performed by the KD SR 01 required less time and have demonstrated advantages over conventional methods such as laparoscopic surgery.

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The ai-based surgical robots market report table of contents includes:

1. Executive Summary
2. AI-based Surgical Robots Market Characteristics
3. AI-based Surgical Robots Market Trends And Strategies
4. AI-based Surgical Robots Market – Macro Economic Scenario
5. Global AI-based Surgical Robots Market Size and Growth
………..
31. Global AI-based Surgical Robots Market Competitive Benchmarking
32. Global AI-based Surgical Robots Market Competitive Dashboard
33. Key Mergers And Acquisitions In The AI-based Surgical Robots Market
34. AI-based Surgical Robots Market Future Outlook and Potential Analysis
35. Appendix

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