세계의 재생의료 인공지능 시장 : 기술, 제공, 용도, 최종 사용자별 예측(2025-2030년)

The Artificial Intelligence in Regenerative Medicine Market was valued at USD 59.63 million in 2023, expected to reach USD 72.38 million in 2024, and is projected to grow at a CAGR of 22.05%, to USD 240.63 million by 2030.

Artificial Intelligence (AI) in Regenerative Medicine is transforming the landscape of healthcare by enhancing the precision, efficiency, and personalization of treatment approaches. This field synergizes AI's data analysis capabilities with regenerative medicine's biological processes to repair or replace human tissues and organs. The necessity for AI in regenerative medicine arises from the increasing demand for advanced therapeutic solutions to treat degenerative diseases, injuries, and congenital issues efficiently. AI applications range from drug discovery and patient-specific treatment modeling to optimizing tissue engineering and rehabilitation practices. Key end-use sectors include hospitals, research entities, and pharmaceutical companies aiming to improve patient outcomes and reduce healthcare costs. Market growth is significantly influenced by technological advancements, increased investment in biotech research, and a rising focus on personalized medicine. Emerging opportunities lie in enhancing AI algorithms to accurately model biological processes and predict long-term outcomes, offering a competitive edge in personalized treatment development. However, challenges such as high costs, ethical considerations, data privacy concerns, and regulatory hurdles impede growth. Additionally, the complexity of mastering AI technologies and the slow adaptation to existing clinical workflows can restrict market expansion. Innovators can focus on developing scalable AI solutions that integrate seamlessly with existing medical infrastructures, leveraging big data analytics for predictive modeling, and fostering partnerships between tech companies and healthcare providers. Areas ripe for research include AI-driven biomaterial design, real-time monitoring of regenerative treatments, and enhancing the fidelity of 3D bioprinting technologies. To thrive in this dynamic market, businesses should continually invest in R&D, maintain agile strategies to adapt to technological and regulatory developments, and prioritize ethical AI implementation to build trust and facilitate widespread adoption. Overall, the market is poised for robust growth, driven by breakthroughs in AI capabilities and their transformative potential in regenerative medicine.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Regenerative Medicine Market

The Artificial Intelligence in Regenerative Medicine Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing prevalence of chronic and rare diseases
  • Growing consumer preference for precision medicines and stem cell therapies
  • Supportive government initiatives for deployment of AI in healthcare sector
• Market Restraints
  • High costs associated with AI-based solutions for regenerative medicine
• Market Opportunities
  • Advancements in technologies for improved drug discovery and development
  • Rising funding and investments for deployment of AI
• Market Challenges
  • Concerns regarding data privacy coupled with limited availability of skilled professionals

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Regenerative Medicine Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Regenerative Medicine Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Regenerative Medicine Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Regenerative Medicine Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Regenerative Medicine Market

A detailed market share analysis in the Artificial Intelligence in Regenerative Medicine Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Regenerative Medicine Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Regenerative Medicine Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Regenerative Medicine Market

A strategic analysis of the Artificial Intelligence in Regenerative Medicine Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Regenerative Medicine Market, highlighting leading vendors and their innovative profiles. These include Cognetivity Ltd., F. Hoffmann-La Roche Ltd., Intel Corporation, Medtronic PLC, Merck KGaA, Microsoft Corporation, NANO-X IMAGING LTD., Novo Nordisk A/S, NVIDIA Corporation, Sanofi SA, Tempus Labs, Inc., and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Regenerative Medicine Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Technology, market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing.
• Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across Memory, Network, and Processor.
• Based on Application, market is studied across Cybersecurity, Drug Discovery, Fraud Detection, Healthcare Assistance Robots, Medical Imaging & Diagnostics, Patient Data & Risk Analysis, and Precision Medicine.
• Based on End-User, market is studied across Healthcare Payers, Hospitals & Providers, and Pharmaceutical & Biotechnology Companies.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing prevalence of chronic and rare diseases
    • 5.1.1.2. Growing consumer preference for precision medicines and stem cell therapies
    • 5.1.1.3. Supportive government initiatives for deployment of AI in healthcare sector
  • 5.1.2. Restraints
    • 5.1.2.1. High costs associated with AI-based solutions for regenerative medicine
  • 5.1.3. Opportunities
    • 5.1.3.1. Advancements in technologies for improved drug discovery and development
    • 5.1.3.2. Rising funding and investments for deployment of AI
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns regarding data privacy coupled with limited availability of skilled professionals
• 5.2. Market Segmentation Analysis
  • 5.2.1. Technology: Significant adoption of computer vision technology for accurate and efficient detection of key biological structures
  • 5.2.2. Offering: Hardware provides the necessary computational power in AI applications in regenerative medicine
  • 5.2.3. Application: Potential utilization of AL technology in drug discovery applications
  • 5.2.4. End-User: Pharmaceutical and biotechnology companies focus on leveraging AI to accelerate drug discovery
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Regenerative Medicine Market, by Technology

• 6.1. Introduction
• 6.2. Computer Vision
• 6.3. Context-Aware Computing
• 6.4. Machine Learning
• 6.5. Natural Language Processing

7. Artificial Intelligence in Regenerative Medicine Market, by Offering

• 7.1. Introduction
• 7.2. Hardware
  • 7.2.1. Memory
  • 7.2.2. Network
  • 7.2.3. Processor
• 7.3. Services
• 7.4. Software

8. Artificial Intelligence in Regenerative Medicine Market, by Application

• 8.1. Introduction
• 8.2. Cybersecurity
• 8.3. Drug Discovery
• 8.4. Fraud Detection
• 8.5. Healthcare Assistance Robots
• 8.6. Medical Imaging & Diagnostics
• 8.7. Patient Data & Risk Analysis
• 8.8. Precision Medicine

9. Artificial Intelligence in Regenerative Medicine Market, by End-User

• 9.1. Introduction
• 9.2. Healthcare Payers
• 9.3. Hospitals & Providers
• 9.4. Pharmaceutical & Biotechnology Companies

10. Americas Artificial Intelligence in Regenerative Medicine Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Regenerative Medicine Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Regenerative Medicine Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
  • 13.3.1. Axolotl Biologix and Carmell Therapeutics Enter Merger Deal
  • 13.3.2. Epredia and Aiforia Join RegenMed Hub Innovation Accelerator, Expanding PHC Group Presence in Regenerative Medicine Partnership Will Pave the Way for New RegenMed Clinical Trials Catalyst Program
  • 13.3.3. Wipro and Pandorum Partner to Accelerate Regenerative Medicine with Artificial Intelligence
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Cognetivity Ltd.
• 2. F. Hoffmann-La Roche Ltd.
• 3. Intel Corporation
• 4. Medtronic PLC
• 5. Merck KGaA
• 6. Microsoft Corporation
• 7. NANO-X IMAGING LTD.
• 8. Novo Nordisk A/S
• 9. NVIDIA Corporation
• 10. Sanofi SA
• 11. Tempus Labs, Inc.
• 12. Wipro Limited