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Remote Healthcare Market is estimated to be US$ 57.1 billion by 2032 with a CAGR of 19.8% over the forecast period (2022-2032) – By PMI

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Covina, Jan. 16, 2023 (GLOBE NEWSWIRE) — Remote patient monitoring technologies are the type of digital health platform which enable patients to be determined outside of typical clinical visit, in their home or in their community. For example, patients with hypertension who monitored blood pressure at their home shared their readings with healthcare provider has achieved significantly better blood pressure control. Meta-analyses has found that monitoring blood glucose at home and sharing their reading with healthcare provider has achieved significant improvement in glycaemic control. Telemedicine are of three types which includes, remote monitoring, store & forward and real time interactive services. Telemedicine reduce the risks of infection from direct contact for physicians and patients. Telemedicine can be defined as using telecommunications technologies to support the delivery of all kinds of medical, diagnostic and treatment-related services usually by doctors. For example, this includes conducting diagnostic tests, closely monitoring a patient’s progress after treatment or therapy and facilitating access to specialists that are not located in the same place as the patient. The World Health Organization (WHO) defines Telemedicine as, “The delivery of healthcare services, where distance is a critical factor, by all healthcare professionals using information technologies for the exchange of valid information for diagnosis, treatment & prevention of disease & injuries, research & evaluation & for continuing education of healthcare providers, all in the interests of advancing the health of individuals & their communities.” Telemedicine is the use of electronic information to communicate technologies to provide and support healthcare when distance separates the participants. Telemedicine is used to link doctors operating with patient in one place and experts at another to help them through telecommunication. Remote monitoring telemedicine is the ability to monitor certain aspects of patient’s health from their own house which has become increasingly popular option after COVID pandemic. Remote patient monitoring allow providers to manage acute & chronic conditions, and also cut down patient’s cost of travelling and infection risk.COVID-19 pandemic has forced the healthcare providers to adopt telehealth solutions by accelerating the adoption of digital health platforms. However, rising adoption of digital healthcare technologies has given positive impact on target market growth.

The report “Remote Healthcare Market, By Service (Real Time Virtual Health, Remote Patient Monitoring, Tele-ICU), By Application (Obstetrics, Cardiology, Diagnosis, and Others), By End-Users (Patient, Payer, Provider, Government Organizations, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Trends, Analysis and Forecast till 2032”

Key Highlights:

  • In November 2022, LG has launched Virtual Care Solution with Amwell to address the hospital workforce shortages. Newly launched ‘Carepoint TV Kit’ by LG and powered by Amwell ‘Converge platform’ helps in leveraging existing LG healthcare TVs in patient rooms which allows providers to remotely monitor, engage, and discharge patients by reducing load of healthcare professionals.
  • In October 2022, Samsung smart TV users will get remote healthcare through HealthTap across United States. The Korean tech giant has partnered with HealthTap to bring virtual healthcare to its smart TVs. HealthTap has determined the Samsung smart TV extension at SDC22. Customers will be able to review credentials, doctor bios, and video interviews.
  • In August 2022, Teladoc Health & Cloud DX has announced the partnership to enhance the remote monitoring solutions for patients across the Canada. In this partnership Cloud DX platform will be enhanced with Teladoc Health’s virtual care capabilities. This partnership will bring deep expertise in virtual care, mental health care and chronic care management to Canadians.
  • In January 2022, Clear Arch Health has announced the acquisition of Life Care Solutions to expand RPM (remote patient monitoring) market share. With this acquisition, Clear Arch Health will take a big step for solidifying its role in remote patient monitoring market by leveraging ‘Life Care Solutions’ deep experience, extensive customer base, validated LifeStream RPM software platforms.

Analyst View:

Increase in acceptance and recognition of remote healthcare by stakeholders during post- COVID-19. Patients were sceptical about its reliability and were not sure if the doctor would be able to diagnose properly their symptoms or if they would receive good treatment telephonically compared to physical visits. Disruption that COVID-19 brought in everyone’s life is undeniable. During this time, remote healthcare has become the innovation catalyst in providing quality medical care at people homes. Rising expansion of internet & mobile connectivity are all positive steps towards rapid adoption of digital health platform all over the world. However, adoption of digital healthcare technologies is expected to boost the demand for remote healthcare market growth over the forecast period. As a result, market competition is intensifying, and both big international corporations and start-ups are vying to establish position in the market.

Reqeust Free Sample Copy: https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/5048

Browse 60 market data tables* and 35 figures* through 140 slides and in-depth TOC on Remote Healthcare Market, By Service (Real Time Virtual Health, Remote Patient Monitoring, Tele-ICU), By Application (Obstetrics, Cardiology, Diagnosis, and Others), By End-Users (Patient, Payer, Provider, Government Organizations, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Trends, Analysis and Forecast till 2032”

To know the upcoming trends and insights prevalent in this market, click the link below:

https://www.prophecymarketinsights.com/market_insight/Remote-Healthcare-Market-5048

Key Market Insights from the report:

Remote Healthcare Market accounted for US$ 8.45 billion in 2022 and is estimated to be US$ 57.1 billion by 2032 and is anticipated to register a CAGR of 19.8%. The Remote Healthcare Market is segmented based on Service, Application, End-Users and Region.

  • Based on Service, Remote Healthcare Market is segmented into Real Time Virtual Health, Remote Patient Monitoring, Tele-ICU.
  • Based on Application, Remote Healthcare Market is segmented into Obstetrics, Cardiology, Diagnosis, and others.
  • Based on End-Users, Remote Healthcare Market is segmented into Patient, Payer, Provider, Government Organizations, and others.
  • By Region, the Remote Healthcare Market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East & Africa.

Competitive Landscape & their strategies of Remote Healthcare Market:

The prominent players operating in the Remote Healthcare Market includes, Medtronic plc., Philips Healthcare, InTouch Technologies, AirStrip Technologies, Amwell, Clear Arch Health, Teladoc Health, Zoom, Cisco Systems, Sesame Care, and others.

The market provides detailed information regarding the industrial base, productivity, strengths, manufacturers, and recent trends which will help companies enlarge the businesses and promote financial growth. Furthermore, the report exhibits dynamic factors including segments, sub-segments, regional marketplaces, competition, dominant key players, and market forecasts. In addition, the market includes recent collaborations, mergers, acquisitions, and partnerships along with regulatory frameworks across different regions impacting the market trajectory. Recent technological advances and innovations influencing the global market are included in the report.

Scope of the Report:

  1. Remote Healthcare Market, By Service
    • Overview
      • Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
      • Y-o-Y Growth Analysis (%), 2022 – 2032
      • Segment Trends
    • Real Time Virtual Health
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Remote Patient Monitoring
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Tele-ICU
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
  2. Remote Healthcare Market, By Application, 2022 – 2032, (US$ Bn)
    • Overview                                      
      • Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
      • Y-o-Y Growth Analysis (%), 2022 – 2032
      • Segment Trends
    • Obstetrics
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Cardiology
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Diagnosis
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Others
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
  3. Remote Healthcare Market, By End-Users, 2022 – 2032, (US$ Bn)
    • Overview                                      
      • Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
      • Y-o-Y Growth Analysis (%), 2022 – 2032
      • Segment Trends
    • Patient
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Payer
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Provider
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Government Organizations
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Others
      • Overview
      • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
    • Request Cutomization: https://www.prophecymarketinsights.com/market_insight/Insight/request-customization/5048

About Prophecy Market Insights

Prophecy Market Insights is specialized market research, analytics, marketing/business strategy, and solutions that offers strategic and tactical support to clients for making well-informed business decisions and to identify and achieve high-value opportunities in the target business area. We also help our clients to address business challenges and provide the best possible solutions to overcome them and transform their business.

Some Important Points Answered in this Market Report Are Given Below:

  • Explains an overview of the product portfolio, including product development, planning, and positioning
  • Explains details about key operational strategies with a focus on R&D strategies, corporate structure, localization strategies, production capabilities, and financial performance of various companies.
  • Detailed analysis of the market revenue over the forecasted period.
  • Examining various outlooks of the market with the help of Porter’s five forces analysis, PEST & SWOT Analysis.
  • Study on the segments that are anticipated to dominate the market.
  • Study on the regional analysis that is expected to register the highest growth over the forecast period

Browse for Related Reports: 

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2. Virtual Critical Care Solutions Market, By Offering (Hardware, Software and Services), By Technology (Machine learning, Context aware computing, Natural language processing, Computer vision, Speech recognition, Querying method), By Application (Health monitoring, Digital consultation, Virtual nurses, Precision medicines, Drug creation, Healthcare system analysis, Medication management and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Market Trends, Analysis, and Forecast till 2030

3. Augmented Reality (AR) And Virtual Reality (VR) In Healthcare Market, By Component (Hardware, Software, and Services), By Application (Surgery, Fitness Management, Patient Care Management, Pharmacy Management, Medical Training and Education, and Others), By End User (Hospitals, clinics, and surgical centers, Research organizations, Pharma companies, Government, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa) – Trends, Analysis, and Forecast till 2030


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Artificial Intelligence

SAS advances industry solutions with packaged AI models

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Tailored, lightweight AI models facilitate rapid deployment with low overhead
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — Today at SAS Innovate, SAS – a pioneer in data and AI solutions – unveiled a game-changing approach for organizations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual license, SAS is equipping organizations with readily deployable AI technology to productionize real-world use cases with unparalleled efficiency.

AI software provider SAS is uniquely positioned to flex its decades of expertise in applying scalable and trustworthy AI models for prominent global financial, health care, and manufacturing brands, as well as government institutions.
“SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings,” said Chandana Gopal, Research Director, Future of Intelligence, IDC. “An area that is ripe for SAS is productizing models built on SAS’ core assets, talent and IP from its wealth of experience working with customers to solve industry problems.”
In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI. In reality, LLMs are a very small part of the modeling needs of real-world production deployments of AI and decision making for businesses.  With the new offering, SAS is moving beyond LLMs and delivering industry-proven deterministic AI models for industries that span use cases such as fraud detection, supply chain optimization, entity management, document conversation and health care payment integrity and more.
Unlike traditional AI implementations that can be cumbersome and time-consuming, SAS’ industry-specific models are engineered for quick integration, enabling organizations to operationalize trustworthy AI technology and accelerate the realization of tangible benefits and trusted results.
Expanding market footprintOrganizations are facing pressure to compete effectively and are looking to AI to gain an edge. At the same time, staffing data science teams has never been more challenging due to AI skills shortages. Consequently, businesses are demanding agility in using AI to solve problems and require flexible AI solutions to quickly drive business outcomes. SAS’ easy-to-use, yet powerful models tuned for the enterprise enable organizations to benefit from a half-century of SAS’ leadership across industries.
Delivering industry models as packaged offerings is one outcome of SAS’ commitment of $1 billion to AI-powered industry solutions. As outlined in the May 2023 announcement, the investment in AI builds on SAS’ decades long focus on providing packaged solutions to address industry challenges in banking, government, health care and more.
“Models are the perfect complement to our existing solutions and SAS Viya platform offerings and cater to diverse business needs across various audiences, ensuring that innovation reaches every corner of our ecosystem,” said Udo Sglavo, Vice President for AI and Analytics, SAS. “By tailoring our approach to understanding specific industry needs, our frameworks empower businesses to flourish in their distinctive environments.”
Bringing AI to the massesSAS is democratizing AI by offering out-of-the-box, lightweight AI models – making AI accessible regardless of skill set – starting with an AI assistant for warehouse space optimization. Leveraging technology like large language models, these assistants cater to nontechnical users, translating interactions into optimized workflows seamlessly and aiding in faster planning decisions.
“SAS Models provide organizations with flexible, timely and accessible AI that aligns with industry challenges,” said Sglavo. “Whether you’re embarking on your AI journey or seeking to accelerate the expansion of AI across your enterprise, SAS offers unparalleled depth and breadth in addressing your business’s unique needs.”
The first SAS Models are expected to be generally available later this year. Learn more about SAS Applied AI and Modeling here: https://blogs.sas.com/content/tag/applied-ai-modeling/.
Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Jennifer [email protected] 202-210-4180 sas.com/news
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Expanded SAS Viya uses generative AI to accelerate customer productivity

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Leading data and AI platform helps explain and integrate large language models to augment existing processes; SAS Data Maker will address critical challenges without compromising sensitive data
LAS VEGAS, April 17, 2024 /PRNewswire/ — SAS INNOVATE — So many organizations have jumped on the GenAI bandwagon in the last year, but are those efforts delivering results yet? If the organization uses the SAS® Viya® data and AI platform, the answer is a resounding yes. Infused with large language model (LLM) orchestration strength, SAS Viya is already helping customers accelerate efficiency and productivity. Throughout 2024, SAS will continue delivering innovation by broadening its trustworthy GenAI footprint with the introduction of its own synthetic data generator – SAS Data Maker – and by offering industry-specific GenAI assistants.

Learn more about Viya LLM orchestration and other GenAI capabilities in this solution brief: Accelerate productivity with generative AI and SAS Viya.
“SAS’ guiding principle is everyone should be able to query data and perform complex analytical operations in every phase of the data and analytics life cycle, and generative AI is crucial in this democratization journey,” said Wiktor Markiewicz, Senior Market Research Analyst at IDC. “But most leaders don’t understand AI technology and how they can apply it meaningfully. Having an already trusted data and AI platform available removes the guesswork and kickstarts the generative AI journey.”  
Georgia-Pacific and wienerberger rely on Viya for AI and GenAI capabilitiesManufacturer Georgia-Pacific is a SAS customer using Viya. “When challenges emerge with our manufacturing equipment or process, we leverage sensor data, business rules, recommender systems and generative AI to suggest the appropriate next best action and resolve the problem,” said Roshan Shah, Vice President, Collaboration & Support Center, Georgia-Pacific. “Streaming analytics and intelligent decision management support from SAS Viya helps us capture immediate value by making the right decisions as events occur.”
About Georgia-Pacific, SAS Executive Vice President and CTO Bryan Harris said, “One of SAS’ core strengths is our deep bench of industry knowledge. We understand manufacturing, and we understand Georgia-Pacific’s unique challenges. We help them appropriately scale LLM orchestration and manufacturing-specific GenAI assistant strategies so their employees can use those cutting-edge applications to troubleshoot real-time operational issues.”
Global brick manufacturer wienerberger also uses SAS for AI support. The company reduces energy consumption, cuts greenhouse gas emissions and improves product quality using SAS on Microsoft Azure. “We use AI and IoT analytics from SAS to connect all our data streams and analyze the entire production process,” said Florian Zittmayr, Team Lead for Data Science at wienerberger. “SAS Analytics brings intelligence to the kiln by helping our engineers and employees to gain valuable information about each step and identify specific target values to make the drying and firing of bricks more economical.”
And a global consumer goods manufacturer uses Viya and its GenAI capabilities to optimize warehouse space, allocate inbound shipments and compare “what-if” scenarios based on product demand. SAS helped develop an LLM-based digital assistant by dynamically updating SAS Visual Analytics dashboards so the company’s supply chain teams can easily save time and improve warehouse space usage with in-depth analytics. This conversational assistant allows both technical and business users to generate fast and accurate results and improve decision making using SAS’ trustworthy, explainable analytics.
Organizations are enthusiastic about adopting and deploying GenAI, but there’s often a gap between preparedness and execution. Learn more by reading the US Executive Summary from a new study: Generative AI Challenges and Potential Unveiled: How to Achieve a Competitive Advantage.
Viya stands out in the GenAI crowd because of pragmatic, industry-driven applicationsAs organizations explore GenAI, SAS prioritizes identifying industry-driven and ethically applied use cases. SAS enables secure adoption and fosters accelerated productivity and trusted results across diverse industries and regulatory landscapes. SAS’ GenAI functionality lives in leading products like Viya and SAS Customer Intelligence 360:
GenAI orchestration: Viya integrates external GenAI models with existing business processes and systems, orchestrating LLMs for end-to-end enterprise use cases. These capabilities are now available in SAS Viya.Viya Copilot: Enhances productivity for developers, data scientists and business users with a personal assistant that accelerates analytical, business and industry tasks. Viya Copilot offers diverse tools for tasks like code generation, data cleaning, data exploration, marketing planning, journey design and knowledge gap analysis. The first iteration of Viya Copilot is available through an invitation-only private preview.SAS Data Maker: Addresses data privacy and scarcity challenges by generating high-quality synthetic tabular data without compromising sensitive information, enabling organizations to address data privacy. SAS Data Maker is now available in private preview.Customer engagement. SAS continues to infuse GenAI capabilities into its flagship MarTech solution, SAS Customer Intelligence 360, to help marketers elevate the customer experience. SAS Customer Intelligence 360 already offers GenAI assistance on streamlining marketing planning, journey design and content and creative development. SAS is now introducing three new capabilities in SAS Customer Intelligence 360 for marketers: using GenAI to build recommended audiences based on natural language prompts, a chat experience to interpret audience data and a GenAI suggestion service for email subject lines.The GenAI functionality of Viya makes a meaningful difference to customers planning to:
Accelerate innovation: Seamlessly integrate GenAI models into decisioning workflows, AI/ML applications and existing business processes by using decisioning flow tools like SAS Intelligent Decisioning.Protect data: Support user privacy and security with robust data quality measures, including synthetic data generation, data minimization, anonymization and encryption, so sensitive information remains safeguarded.Create trustworthy and explainable results: Data experts can apply natural language processing techniques to preprocess data and explain the generated output, minimizing hallucinations and token costs.Enhance governance: Use built-in tools to create workflows that validate the life cycle of LLMs, including model risk management.Make more precise decisions: Quantitative decisioning capabilities, critical for successful GenAI reasoning, are built into the Viya platform.Today’s announcement was made at SAS Innovate, the data and AI experience for business leaders, technical users and SAS Partners. Keep up with the latest news from SAS by following @SASsoftwareNews on X/Twitter.
About SASSAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2024 SAS Institute Inc. All rights reserved. 
Editorial Contact:Laura Fleek [email protected] 214-803-6692sas.com/news
 
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Artificial Intelligence

LTA’s Padel Programme Teams Up with Skylab for Enhanced Performance Analytics

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MANCHESTER, England, April 17, 2024 /PRNewswire/ — Skylab, a UK-based specialist in sports technology and performance analysis, proudly announces its partnership with LTA Padel, solidifying its position as a premier provider of specialised services in the sports industry. This collaboration underscores Skylab’s commitment to excellence and showcases its ability to deliver innovative and diverse solutions tailored specifically for elite sports organisations like LTA Padel.

The LTA’s Padel performance programme in Great Britain will utilise Skylab’s Game Intelligence product and Performance Analysis services. The software will empower athletes and coaches alike with interactive and detailed match data, seamlessly integrated into intuitive dashboards that create automated video playlists. The Padel team at the LTA will gain a deeper understanding of padel at the elite level to support their talent identification, player pathway and coaching strategies as they strive to compete with the world’s best. 
“Previously, Padel players lacked accurate and robust performance data, which made it impossible to analyse the opposition in detail. Coaches couldn’t answer their players’ key performance questions quickly, and performance directors had to rely on gut feeling and experience when evidencing what elite Padel looks like. However, our product and services provide practitioners with insights into the technical and tactical aspects of the game, as well as the physical demands required for elite-level performance. This allows practitioners to understand and predict the future performance of their players, enabling them to make data-informed decisions” says Ciaran Skinner, Business Development Manager, Skylab.
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport.
For more information about Skylab and its services, please visit skylab.com or contact [email protected] 
Notes 
Website: www.skylab.com 
https://skylab.com/padel-performance-insights/ 
Social:
LinkedIn – Skylab: https://www.linkedin.com/company/studio-skylab 
LinkedIn – Skylab: Elite Performance Analysis: www.linkedin.com/company/skylab-epa/ 
About Skylab      
Skylab is a first-of-its-kind sports technology firm, offering tailored, market-leading Performance Analysis services and bespoke web platforms to elite sporting clients. It revolutionises how elite sports teams and individuals interact, use, and visualise their data. By packaging performance analysis with industry leading UX and bespoke software, partners will be in the position to make better decisions in sport. Current clients include elite teams and organisations across Padel, Football, Athletics, Tennis, Rowing and more.
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