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[New Report] Healthcare Digital Twin Market is estimated to be US$ 5.7 billion by 2032; Growing Adoption of Remote Patient Monitoring and Telemedicine Services to Foster Industrial Growth- By PMI

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Covina, July 11, 2023 (GLOBE NEWSWIRE) — “According to the latest research study, the demand of Healthcare Digital Twin Market accounted for US$ 0.58 billion in 2022 and is estimated to be US$ 5.7 billion by 2032 and is anticipated to register a CAGR of 25.7%.

Digital Twin is a virtual model which reflects physical object accurately. Various benefits such as to reduce operational costs and to improve patient outcomes and surge in demand for telemedicine given rise in popularity of digital twin technology.

Adoption of digital technology has given positive impact on market growth. Growing adoption of mobile application, sensors, wearable and medical records for monitoring patient data has further facilitated the demand for Healthcare Digital Twin Market. Emergence of AI (artificial intelligence) technology and improved healthcare organizations is expected to fruitful the demand for Healthcare Digital Twin market in future.

What are the recent news in the Healthcare Digital Twin Market?

  • In September 2022, Verto Health joined CAN (Co-ordinated Accessible Network) Health Network to simplify the sharing of data across health care organizations at global level. Verto is a Toronto-based digital health company help in streamlining of consent management, help in managing ambulatory patient flow and also help in transforming patient experience across ambulatory clinics.

Report Scope:

Attribute Details
Base year for estimation 2022
Forecast period 2022 – 2032
Accounted in 2022 US$ 0.58 Billion
Estimated to be in 2032 US$ 5.7 Billion
CAGR           25.7%
Market representation Revenue in USD Billion & CAGR from 2022 to 2032
Market Segmentation By Type – Product Digital TwinProcess & System Digital Twin
By Application – Drug Discovery, Personalized Medicine, Asset & Process Management and Others
By End-Users – Hospitals, Clinical Research Organizations, Research & Diagnostic Laboratories and Others
Regional scope North America – U.S., Canada
Europe – UK, Germany, Spain, France, Italy, Russia, Rest of Europe
Asia Pacific – Japan, India, China, South Korea, Australia, Rest of Asia-Pacific
Latin America – Brazil, Mexico, Argentina, Rest of Latin America
Middle East & Africa – South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa
Report coverage Revenue forecast, company share, competitive landscape, growth factors, and trends

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What is Prophecy’s Analyst View on Healthcare Digital Twin Market?                                                                                                                                             

Growing popularity and adoption of digital twin in healthcare sector has become major contribution in market growth. Further, adoption of digital twin technologies to improve healthcare organization performance & customized medicine and to develop new technology & novel drugs has provided lucrative opportunities in Healthcare Digital Twin market growth over the forecast period.

What are the emerging trends and future developments in the healthcare digital twin market?

The healthcare digital twin market is witnessing emerging trends and future developments such as personalized medicine, integration of IoT devices, advancements in AI and ML, and the utilization of VR and AR technologies. These trends are driving the adoption of digital twin technology in healthcare and leading to improved patient outcomes, remote monitoring capabilities, enhanced diagnostic and treatment planning, and more immersive healthcare experiences. The future holds promising opportunities for further advancements in precision medicine, remote patient management, AI-driven analytics, and expanded applications of digital twin technology in healthcare.

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What are some of the challenges and limitations of implementing digital twins in healthcare?

  • Data integration from various sources is challenging, requiring interoperability and seamless data integration.
  • Data privacy and security are critical due to the sensitivity of healthcare data, requiring robust cyber security measures.
  • Scalability of digital twin infrastructure to handle large data volumes can be costly and resource-intensive.
  • Ensuring the accuracy and validity of data used in digital twin models is essential for reliable insights.
  • Adoption and acceptance among healthcare professionals and patients require overcoming resistance to change.
  • Upfront costs and demonstrating the return on investment are important considerations.
  • Regulatory and ethical considerations regarding data privacy, consent, and responsible use of patient data.

Who are the key players or vendors in the Healthcare Digital Twin Market?

  • Microsoft
  • Atos
  • Philips Healthcare
  • Verto Healthcare
  • PrediSurge
  • Dassault Systems
  • Twin Health
  • Unlearn.AI, Inc.
  • QiO Technologies
  • ThoughWire

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https://www.prophecymarketinsights.com/market_insight/Insight/request-pdf/5128

What are the key factors driving the growth of the healthcare digital twin market?

The growth of the healthcare digital twin market is driven by factors such as technological advancements, the demand for personalized medicine, remote patient monitoring needs, improved healthcare efficiency, cost reduction goals, collaboration and interoperability initiatives, and the focus on patient empowerment and engagement. These factors collectively contribute to the increasing adoption of digital twin technology in healthcare, enabling better patient outcomes, optimized resource utilization, and enhanced collaboration among healthcare stakeholders.

Key Reasons to Purchase Report:

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  • A report provides comprehensive market analysis, including size, trends, and key players.
  • It offers in-depth research and insights into the healthcare digital twin market.
  • Reports assist in strategic business planning and decision-making processes.
  • They provide valuable information for investment and market entry decisions.
  • Reports offer competitive intelligence on key market players and the competitive landscape.
  • They highlight industry trends and future outlook, helping businesses stay informed and prepared.

Key Questions Answered in Report:

  1. What is the current market size and growth rate of the healthcare digital twin market?
  2. What are the key drivers and challenges shaping the healthcare digital twin market?
  3. What are the different types of healthcare digital twin technologies available and how do they differ?
  4. How is the healthcare industry currently adopting and implementing digital twin technology?
  5. What are the key applications and use cases of healthcare digital twins?
  6. Which regions or countries are witnessing significant growth in the healthcare digital twin market?
  7. Who are the major players in the healthcare digital twin market and what are their market strategies?
  8. What are the emerging trends and future developments in the healthcare digital twin market?

Please Find Below Some Related Reports:

Digital Twin Market, By Application (Product Design, Manufacturing Process Planning, and Others), By Vertical (Natural Resources, Manufacturing, Healthcare, Consumer Goods, Transportation, Government and Utilities, and Others (Automotive and Oil and Gas)), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Trends, Analysis and Forecast till 2030

Remote Patient Monitoring Market, By Product (Special Monitors, Vital Sign Monitors, Software, Services), By Application (Diabetes, Cardiovascular Disease, Cancer, Hypertension, and Others), By End-Users (Hospital-based Patients, Home Healthcare, Ambulatory Patients), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Trends, Analysis and Forecast till 2032

Digital Health Market, By Technology Platform (Tele health (Tele Medicine, and Tele Care) mHealth, Digital Health Information Systems (EMR/HER, Clinical Decision Support System (CDCC), Computerized Physician Order Entry (CPOE), and Others, Diagnostic and Monitoring Devices, and Therapeutic Devices (Digital Medicine, Respiratory Therapy Devices, Insulin Pumps, and Others) and Others), By Components (Hardware, Software and Services), By End User (Business to Consumers, and Business to Business) and By Region (North America, Latin America, Europe, Middle East, Asia Pacific, and Africa) – Trends, Analysis and Forecast till 2030

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Artificial Intelligence

Huawei Cloud: One Step to Intelligence, One Leap to Excellence

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SHANGHAI, Sept. 20, 2024 /PRNewswire/ — During HUAWEI CONNECT 2024, Huawei Cloud hosted a Summit themed “One Step to Intelligence, One Leap to Excellence”, gathering global industry leaders to explore the intelligent transformation trend, share pioneering cases, and assist customers in their journey to cloud-based operational excellence. At the summit, Huawei Cloud and global customers, unveiled the Data Center-to-Cloud solution and the PRIME Framework white paper.

Jacqueline Shi, President of Huawei Cloud Global Marketing and Sales Service, said: “Customers’ support enables us to innovate with finance, retail, autonomous driving, the Internet and many other sectors. By combining cutting-edge technologies with industry know-how, Huawei Cloud paves your way to digital and intelligence.”
Kevin Gao, President of Huawei Cloud Public Cloud Business, presented a keynote speech “One Step to Intelligence, One Leap to Excellence”. He outlined three critical factors for accelerating cloud migration and AI use: global infrastructure, continuous technological innovation, and lean operations.
In terms of global infrastructure, Huawei Cloud’s global infrastructure, KooVerse, offers extensive coverage, exceptional experience, and excellent quality. With 33 Regions and 93 Availability Zones (AZs) worldwide, Huawei Cloud supports over 10,000 customers in achieving business globalization. Huawei Cloud has interconnected with over 2,400 peers of global carriers, ensuring one hop to cloud and global business deployment for customers. Huawei Cloud data centers achieve Tier IV reliability.
Technological innovation is at the heart of Huawei Cloud’s mission to accelerate enterprise transformation. At this summit, three key areas were highlighted: compute upgrade, data-AI convergence, and application innovation.
The Data Center-to-Cloud solution released by Gao offers data center facilities, intelligent O&M, and DCN as a service, allowing customers to easily relocate and run dedicated compute resources on Huawei Cloud.
Huawei Cloud’s Ascend AI Cloud Service enables training jobs to run non-stop up to 40 days, shortens the fault recovery time to 10 minutes, and increases the linear scalability to 90% (the industry average are 2.8 days, 60 minutes, and 80%, respectively).
Huawei Cloud’s deterministic operations system has been adopted by over 300 global customers, maintaining a strong security record with zero intrusions and zero data breaches. 
DeFacto from Türkiye leverages Huawei Cloud’s cloud native solution with Cloud Container Engine (CCE) and streamlines their services.
Huawei Cloud helps Chery to deploy, use, and manage the cloud. Currently, Huawei Cloud nodes in more than 10 countries and regions are providing services for Chery.
NavInfo has adopted Huawei Cloud’s R&D expertise and CodeArts software development pipeline to establish efficient development management standards and efficiency measurement systems.
Kingsoft and Huawei Cloud have collaboratively developed an excellence framework to optimize cost management.
Tencent Music’s Tianqin Lab has developed the MUSELight AI model acceleration framework, utilizing Huawei Cloud’s Ascend AI Cloud Service.
At the end of the summit, Huawei Cloud and global customers jointly released the Enterprise Excellence PRIME Model White Paper. This white paper offers a reference framework for enterprises to leap to excellence with digital and intelligent technologies.
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Artificial Intelligence

Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM with around 500K AMRs shipment by 2030 – LogisticsIQ

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autonomous-mobile-robots-(amr)-market-to-cross-$10-billion-tam-with-around-500k-amrs-shipment-by-2030-–-logisticsiq

NEW DELHI, Sept. 20, 2024 /PRNewswire/ — The global Autonomous Mobile Robots (AMRs) market is poised for significant growth, driven by increasing demand for automation across various sectors, including logistics, manufacturing, and healthcare. According to the latest market research by LogisticsIQ (5th Edition), Autonomous Mobile Robots (AMR) Market to cross $10 Billion TAM by 2030 with a CAGR of ~30% between 2024 and 2030. We expect the installed base of AMRs to reach 2 million units in 2030.

Download a Free Sample of our report on Autonomous Mobile Robots Market
Key Market Drivers
Increased Efficiency: Businesses are rapidly adopting AMRs to enhance operational efficiency, reduce labour costs, and streamline workflows.Labor Shortages: The ongoing labour shortages in various industries have accelerated the need for automated solutions, making AMRs a crucial investment for companies.Technological Advancements: Innovations in artificial intelligence (AI), machine learning, and sensor technology are making AMRs more capable and reliable.Growing E-Commerce: The rise of e-commerce has created a demand for efficient warehouse management solutions, further boosting the AMR market.Regional Insights
North America leads the AMR market, accounting for the largest share due to the early adoption of automation technologies. Meanwhile, the Asia-Pacific region, especially China is expected to witness the fastest growth, fuelled by rapid industrialization and increasing investments in smart factories. US and China are going to contribute ~40% of this market by 2030.
Industry Applications
Autonomous mobile robots are being utilized in various applications, including:
Warehouse Automation: AMRs enhance inventory management and order fulfillment processes. This industry is expected to lead with more than 75% share by 2030.Manufacturing: Robots facilitate material handling and assembly line operations. Traditionally, it has been dominated by AGVs but are getting replaced by AMRs due to more flexibility and scalability features.Healthcare: AMRs assist in transporting medical supplies, improving patient care and operational efficiency. It is a niche market but high growing area to focus further.Purchase the full report on the Autonomous Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the Autonomous Mobile Robots Market
Top Factors Driving Growth
Increased Demand for Automation: Businesses across industries are increasingly seeking automation to enhance efficiency and reduce operational costs.Technological Advancements: Innovations in AI, machine learning, and sensor technologies improve the capabilities and reliability of AMRs, making them more attractive to businesses.Labor Shortages: Ongoing labour shortages, especially in sectors like logistics and manufacturing, are pushing companies to adopt AMRs to maintain productivity.Growth of E-Commerce: The surge in online shopping requires efficient warehouse and logistics solutions, driving the adoption of AMRs for inventory management and order fulfillment.Improved Safety Standards: AMRs can reduce workplace accidents by taking over hazardous tasks, leading to safer working environments.Customization and Scalability: Many AMR solutions offer customizable features that allow businesses to scale operations according to their specific needs.Top Challenges
High Initial Costs: The upfront investment for AMRs can be substantial, which may deter smaller businesses from adoption.Integration with Existing Systems: Integrating AMRs into current operational workflows and legacy systems can be complex and resource-intensive.Regulatory Compliance: Navigating regulatory requirements and safety standards can pose challenges, especially in highly regulated industries.Limited Awareness and Understanding: Some businesses may lack knowledge about AMR technology and its potential benefits, hindering adoption.Technical Limitations: While technology is advancing, AMRs may still struggle with navigating complex environments or handling unexpected obstacles.Cybersecurity Concerns: As AMRs become more connected, they may be vulnerable to cybersecurity threats, requiring robust security measures.Know more about Autonomous Mobile Robots Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of Autonomous Mobile Robots Market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of Autonomous Mobile Robots like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
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Name: Sunny M.Email: [email protected]: +91-952-918-4938 
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Huawei Cloud: Thrive with the Cloud and Reshape Industries with AI

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SHANGHAI, Sept. 20, 2024 /PRNewswire/ — At HUAWEI CONNECT 2024, Executive Director of the Board of Huawei and CEO of Huawei Cloud Zhang Ping’an delivered a keynote speech “Thrive with the Cloud: Reshaping Industries with AI”. Zhang states that enterprises must seize opportunities in the intelligent era and use AI to build competitive advantages. The key is to adopt an AI-native mindset now.

First, enterprises should actively embrace AI, open up industry scenarios, and develop enterprise AI platforms. This will enable AI to serve their core business. Today, Huawei Cloud Pangu Models have been applied in more than 30 industries and 400 scenarios.
Second, AI computing power is critical. Enterprises need to build AI-native cloud infrastructure that matches their requirements. Zhang officially released CloudMatrix to interconnect and pool all resources including CPUs, NPUs, DPUs and memory. It marks an evolution from monolithic to matrix compute. CloudMatrix comprises an AI-native cloud infrastructure in which everything can be pooled, peer-to-peer, and composed, providing enterprises with abundant AI computing power.
Third, data quality determines the effectiveness of AI models. We need to build knowledge-centric data foundations to enable data to serve AI better. Huawei Cloud has fully upgraded DataArts to provide customers with AI-oriented and knowledge-centric data foundations. The updated features include AI+data convergence engines, data development and governance, knowledge services, and AI+data application enablement services.
Fourth, build suitable AI models based on business applications. We must abandon the misconception that larger models are better. It is not feasible to address all needs with just one foundation model. Pangu Models 5.0 are available in different sizes, with parameters in the billions, tens of billions, hundreds of billions, and trillions. The complete series of Pangu models meet practically all business application needs.
In addition, Huawei Cloud’s Pangu 5.0 models enhance spatiotemporal controllable generation (STCG) in the field of multimodal generation. For autonomous driving,the Pangu model can generate driving scenarios that accurately mirror the physical world. It can generate videos that reflect normal driving scenarios, random road conditions and accidental and aggressive driving, allowing automotive enterprises to train autonomous driving more efficiently.
Huawei Cloud officially released the Mainframe-to-Cloud Solution, designed to help customers develop new core systems on the cloud with high availability, easy O&M, and better agility, helping customers achieve 99.999% financial-grade high availability. Currently, most banks in China have chosen Huawei to build their new core systems on the cloud.
Tao Jingwen, Huawei’s Director of the Board and President of the Quality, Business Process & IT Mgmt Dept, recounted Huawei’s digital transformation journey. Huawei has developed a methodology, which can be broken down into three layers, five phases, and eight steps. The three layers are redefining intelligent business, AI model development and delivery, and ongoing optimization of intelligent applications. The five phases are identifying suitable scenarios, reshaping processes, transforming organizations, optimizing corporate data, and adopting AI applications.
Bruno Zhang, CTO of Huawei Cloud, presented insights on how Huawei Cloud is leveraging AI to reshape data centers, infrastructure, and cloud services. He also addressed the construction of an AI-native cloud designed to accelerate intelligence in industries. The “1+N” Pangu assistant system, unveiled by Mr. Zhang, signifies a new era in cloud service interaction. The system includes Pangu Doer, and the myriad use cases in product R&D, data analytics, security, and office collaboration, where Pangu models are trained using the scenario-specific data, know-how, and practices to enhance cloud services and boost efficiency with tailored AI.
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