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Global Big Data in Healthcare Market to Grow at a CAGR of 15.9%, during Forecast Period | BlueWeave Consulting

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New Delhi, Sept. 23, 2022 (GLOBE NEWSWIRE) — Global Big Data in Healthcare Market is flourishing owing to the government initiatives in developing economies, rising internet penetration, rising e-commerce penetration, and rising availability of mobile devices all contributed to growth.

A recent study conducted by the strategic consulting and market research firm, BlueWeave Consulting, revealed that the Global Big Data in Healthcare Market was worth USD 28.17 billion in the year 2021. The market is projected to grow at a CAGR of 15.9%, earning revenues of around USD 78.52 billion by the end of 2028. The Global Big Data in Healthcare Market is booming because of the growing requirement for analysis, integration, and management of enormous volumes of data that propel big data analytics in the healthcare sector. These data are mostly gathered from different electronic health records (EHR) and patient biological information. A set of statistical algorithms and predictive models supported by high-performance analytics platforms make up big data analytics, a subset of advanced analytics. These technologies, which use powerful computing systems, provide the healthcare sector with several commercial advantages including successful marketing, new income prospects, greater operational efficiency, and better patient care. Currently, big data analytics is being adopted by a wide range of healthcare organizations, including multi-provider groups, single-physician practices, and huge hospital networks. This increase can be ascribed to the service’s many benefits, which include its swift and effective detection of healthcare fraud as well as its analysis of patient information and clinical studies.

Demand for Analytics Solutions for Population Health Management is Increasing

Population health management necessitates the integration of clinical and claims data on the same platform for data analysis, resulting in complete patient care with cost-effective prescription practices. Increased demand for improved care management, early disease prediction, and hospitalization process is expected to boost the growth of the worldwide big data analytics in healthcare market in the future. Furthermore, citizen health is critical for healthcare management in the healthcare business, which necessitates predictive analysis of population health and is likely to increase big data analytics applications during the projection period.

 

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Rise in Artificial Intelligence Demand Needs Powerful Analytics Solutions as it Builds Big Data

For several reasons, the market for big data and analytics has seen an increase in the demand for artificial intelligence (AI). AI uses natural language processing to recognize knowledge, identify different types of data, and discover potential connections between datasets. Additionally, the technology can be used to speed up and automate data preparation tasks, such as creating data models, and support data exploration for decision-making. The combination of AI and big data, according to research from 2020 Forbes, can automate close to 80% of all physical work, 70% of data processing work, and 64% of data collection tasks. By utilizing all available data, deep learning is aided by the combination of AI, big data, and analytics.

Challenge: Technical Challenges

Despite the advantages and promising future of big data in healthcare, numerous fundamental challenges remain. The technological expertise needed and the ability to ensure compliance with all security measures surrounding it are the two key barriers impeding the use of big data in healthcare. Big data necessitates particular skill sets due to the complexity of the files. Hospitals will need to seek the aid of data scientists to manipulate information in a big data environment since IT professionals who are accustomed to SQL programming and traditional databases are not prepared for the learning curve. Another significant barrier to the use of big data in healthcare is security. Big data storage is well known for luring hackers and other highly persistent dangers (APTs). Even though the majority of firms have security safeguards in place, regulations like HIPAA compliance must be protected.

 

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Segmental Coverage

Global Big Data in Healthcare Market – By End-User

Based on end-user, the Global Big Data in Healthcare Market is segmented into Finance & Insurance Agencies, Hospitals & Clinics, and Research Organizations. Hospitals and clinic providers experienced the fastest growth. This is because hospitals and healthcare professionals were under a great deal of pressure to provide cost-effective care and better patient management during and after the pandemic, which contributed to the expansion of this end-user category. The need to maintain patient information, keep track of diseases, and provide patients with cost-effective care have all played a significant role in the widespread adoption of healthcare analytics and are expected to continue to do so.

Impact of COVID-19 on Global Big Data in Healthcare Market

The pandemic of COVID-19 had a beneficial impact on the global market for big data analytics in healthcare. This is owing to the critical need for cutting-edge technological improvements in public health, medicine, and wellness. Developments in genomes, epigenomics, transcriptomics, proteomics, metabolomics, and pharmacogenomics have supported the astounding rate of medical data collection. These data contain a plethora of information that can assist us in better understanding patient care. The growing role of big data analytics in developing predictive care models for the healthcare sector is likely to pave the way for exciting new commercial prospects.

Competitive Landscape

The leading market players in the Global Big Data in Healthcare Market are Allscripts Healthcare Solutions, Inc., Cerner, Cognizant, Dell EMC, Epic System Corporation, Ge Healthcare, General Electric Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Mckesson, Microsoft, Optum, Oracle Corporation, Philips Healthcare, Siemens, and other prominent players. The Global Big Data in Healthcare Market is highly fragmented with the presence of several manufacturing companies in the country. The market leaders retain their supremacy by spending on research and development, incorporating cutting-edge technology into their goods, and releasing upgraded items for customers. Various tactics, including strategic alliances, agreements, mergers, and partnerships, are used.

Don’t miss the business opportunity in the Global Big Data in Healthcare Market. Consult our analysts to gain crucial insights and facilitate your business growth.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of the Global Big Data in Healthcare Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in the Global Big Data in Healthcare Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Recent Development

  • In November 2020, Change Healthcare launched an innovative national data resource solution called Social Determinants of Health (SDoH) Analytics, a resource to help health systems, insurers, and life sciences organizations explore how geodemographic factors affect patient outcomes.

Scope of the Report

Attributes Details
Years Considered Historical data – 2018-2021
Base Year – 2021
Forecast – 2022 – 2028
Facts Covered Revenue in USD Billion
Product Service/Segmentation By Components, By Application, By Deployment, By Analytics Type, By Tool Type, By End-User, By Region.
Key Players Allscripts Healthcare Solutions, Inc., Cerner, Cognizant, Dell EMC, Epic System Corporation, Ge Healthcare, General Electric Healthcare, Hewlett Packard Enterprise (HPE), International Business Machines (IBM) Corporation, Mckesson, Microsoft, Optum, Oracle Corporation, Philips Healthcare, Siemens, and other prominent players.

By Components       

  • Services
  • Software

By Application    
     

  • Clinical Analytics
  • Financial Analytics
  • Operational Analytics

By Deployment    
   

  • Cloud
  • On-Premises

By Analytics Type  

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

By Tool Type

  • Data Warehouse Analytics
  • Financial Analytics
  • Production Reporting
  • CRM Analytics
  • Predictive Analytics
  • Visual Analytics
  • Risk Management Analytics
  • Supply chain Analytics
  • Test Analytics

By End-User 

  • Finance & Insurance Agencies
  • Hospitals & Clinics
  • Research Organizations

By Region

    • North America
    • Europe
    • Asia Pacific (APAC)
    • Latin America
    • Middle East and Africa (MEA)

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About Us 

BlueWeave Consulting provides comprehensive Market Intelligence (MI) Solutions to businesses regarding various products and services online and offline. We offer all-inclusive market research reports by analyzing both qualitative and quantitative data to boost the performance of your business solutions. BWC has built its reputation from the scratch by delivering quality inputs and nourishing long-lasting relationships with its clients. We are one of the promising digital MI solutions companies providing agile assistance to make your business endeavors successful.

Contact Us:

BlueWeave Consulting & Research Pvt. Ltd

+1 866 658 6826 | +1 425 320 4776 | +44 1865 60 0662

[email protected]
https://www.blueweaveconsulting.com/

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GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

TEHTRIS unveils exclusive background and evidence of RosyStyle Affair

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PARIS, March 19, 2024 /PRNewswire/ — TEHTRIS, a leading company in the automatic, real-time, non-human-action neutralization of cyberattacks, has just published its latest Threat Intelligence report, revealing, for the first time, the intricate details of an international fraud of almost 40 million euros, perpetrated on an online investment platform called RosyStyle.

 
 
A large-scale case targeting individuals via RosyStyle platform
After the arrest of a few members of its cybercriminal group, this case could easily have gone unnoticed. However, TEHTRIS reveals behind-the-scenes details of this fraud, centered on bogus online investments, as well as evidence that the cybercriminal group remains active.
Overview of the RosyStyle case:
Status: Despite the arrest of some members, the cybercriminals continued to defraud numerous retail investors, enticing them to transfer large sums of money to their bank accounts.Exclusive Evidence: from IP addresses to websites, TEHTRIS unveils exclusive screenshots of login pages and platform’s backend interface, as well as evidence of the criminals’ access to victims’ bank transactions.Persistent activity: beyond the initial case, the compromised source code has been adapted under several different brand names.Cybersecurity is a collective responsibility
“Our vision of cybersecurity goes far beyond the conventional role of a solution provider. We are committed to understanding, anticipating and mitigating threats to ensure the protection of public and private organizations of all sizes, as well as individuals, in the digital economy. By offering not only cybersecurity solutions, but also vital information to arm them against evolving threats, we aspire to be a trustful source of information, thus contributing to a safer digital future for all,” explains the TEHTRIS team.
About TEHTRIS
Founded in 2010, TEHTRIS is the publisher of the TEHTRIS XDR PLATFORM, hyper-automated cyber defense solution that detects and neutralizes cyberattacks in real time, without human action. With its “Security & Ethics by design” approach, TEHTRIS provides users with a holistic vision of their infrastructure, while guaranteeing data protection. TEHTRIS XDR PLATFORM is compatible with market security solutions via its APIs and integrated orchestrator. The solution monitors, analyzes and neutralizes threats for major organizations in transport, engineering, services and government. TEHTRIS keeps a constant watch on cybercrime and listens closely to its customers, helping them to minimize risks and deal with the unpredictable. In 2020, TEHTRIS raised a record €20 million in Series A funding and a second €44 million in Series B funding in 2022.
Contenu | EN | Rapport Threat Intel Feb24
CONTACT: [email protected] 
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Artificial Intelligence

Segway Collaborates with NVIDIA to Introduce NVIDIA Isaac-powered Nova Orin Developer Kit for Autonomous Mobile Robots

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LOS ANGELES, March 19, 2024 /PRNewswire/ — Segway Robotics, a global leader in autonomous mobile robot (AMR) technologies, is collaborating with NVIDIA to introduce a new developer kit which will expand the frontiers of robotic technologies. The Nova Orin Developer Kit (DevKit), unveiled at NVIDIA GTC, a global AI conference running March 18-21 at the San Jose Convention Center and online, enables creators to bring their robotic innovations to market more swiftly and efficiently.

Building upon the capabilities of the Nova Carter development robot, which Segway teamed with NVIDIA to introduce last year, the Nova Orin DevKit makes robotics development more accessible. It combines Segway’s expertise in robotic mobility solutions with NVIDIA AI and GPU accelerated computing, aiming to provide a platform for developing robotic applications that can navigate and interact with the world in ways previously unimaginable.
Responding to the developer community’s feedback on the Nova Carter, the Nova Orin DevKit has been crafted to offer an even greater level of customization without sacrificing simplicity in assembly and calibration. It is an all-in-one, fully integrated compute and sensing solution ideal for solving complex AMR challenges in large and highly dynamic environments.
Powered by the NVIDIA Jetson AGX Orin system-on-module, the Nova Orin DevKit is equipped with stereo cameras (RGBD) and high-speed surround cameras to provide 3D surround vision. It comes preinstalled with NVIDIA Isaac platform components (including sensor drivers, a nominal calibration file, as well as NVIDIA Isaac Perceptor packages), allowing users to experience the Isaac Perceptor stack right out of the box.
The Nova Orin DevKit can accelerate the development of state-of-art autonomy with powerful and proven software and hardware tools, to use with automated guided vehicles, autonomous forklifts, indoor and outdoor delivery robots, and many other applications.
“With the Nova Orin DevKit, we are pushing the boundaries of what’s possible in AI robotics,” said Tony Ho, Vice President of Business Development at Segway. “Since introducing Nova Carter, the feedback from developers has been incredibly insightful. Recognizing the critical importance of time to market in the robotics sector, the Nova Orin DevKit is our answer to accelerating innovation and success for our customers.”
The Nova Orin DevKit, alongside Nova Carter, represents an important step in reducing the development time for robotics projects. Additionally, Segway’s expertise in supply chain management is set to assist robotics companies in scaling their operations faster and more smoothly.
The Nova Orin DevKit will be available for order starting in early April. Developers, researchers, and companies interested in exploring the frontiers of AI robotics are encouraged to join this exciting journey. More details on The Nova Orin DevKit can be found at Segway Robotics website: https://robotics.segway.com/nova-dev-kit/
Media Enquiries: Ling Ding, [email protected]
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Databricks and NVIDIA Deepen Collaboration to Accelerate Data and AI Workloads with the Data Intelligence Platform

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SAN FRANCISCO, March 18, 2024 /PRNewswire/ — Databricks, the Data and AI company, today announced an expanded collaboration and commitment to deeper technical integrations with NVIDIA during the company’s flagship GTC 2024 conference. Together, Databricks and NVIDIA will optimize data and AI workloads on the Databricks Data Intelligence Platform. The collaboration builds on NVIDIA’s recent participation in Databricks’ Series I funding round.

“We’re thrilled about the evolution of our partnership with NVIDIA that will drive more value for customers through the advancement of Databricks workloads with NVIDIA accelerated computing and software,” said Ali Ghodsi, co-founder and CEO at Databricks. “From analytics use cases through AI, NVIDIA has already powered our foundational model initiatives, and with our mutual work on query acceleration, we’ll be able to demonstrate value for more enterprises.”
“Every company’s proprietary data is a crucial asset for creating intelligence in the era of AI,” said Jensen Huang, founder and CEO of NVIDIA. “By accelerating data processing, NVIDIA and Databricks can supercharge AI development and deployment for enterprises seeking greater insights and better outcomes with more efficiency.”
GPU acceleration for end-to-end generative AI solutionsOrganizations are rapidly adopting Databricks’ Data Intelligence Platform to build and customize generative AI solutions trained on their data and tailored to their business and domain. Databricks Mosaic AI and NVIDIA are collaborating on model training and inference to advance the state of building and deploying generative AI models on Databricks’ end-to-end platform. Databricks offers a comprehensive set of tools for building, testing and deploying generative AI solutions with uncompromising control and governance over both data and models.
For generative AI model training, Databricks Mosaic AI relies on NVIDIA H100 Tensor Core GPUs, which are optimized for developing LLMs. Mosaic AI is able to harness the power of NVIDIA accelerated computing and offer an efficient and scalable platform for customizing LLMs for customers.
For model deployment, Databricks leverages NVIDIA accelerated computing and software throughout the stack. A key component of Databricks’ Mosaic AI Model Serving is NVIDIA TensorRT-LLM software, which delivers state-of-the-art performance and ensures the solution is cost-effective, scalable and performant. Mosaic AI was a TensorRT-LLM launch partner and enjoys a close technical collaboration with the NVIDIA team.
Photon with NVIDIA accelerated computing speeds query performance Databricks plans to develop native support for NVIDIA accelerated computing into its next-generation vectorized query engine, Photon, to deliver improved speed and efficiency for customers’ data warehousing and analytics workloads. Photon powers Databricks SQL, Databricks’ serverless data warehouse with industry-leading price-performance and TCO. This advances and builds on the growth of Databricks customers using GPUs for query processing on their data.
Databricks for machine learning and deep learning Machine learning (ML) and deep learning on Databricks have been critical workloads. Databricks Machine Learning delivers pre-built deep learning infrastructure to include NVIDIA GPUs, and the Databricks Runtime for ML includes pre-configured GPU support including drivers and libraries. With these tools, users are able to both get started quickly with the right NVIDIA infrastructure, and keep the environment consistent across users. Databricks supports NVIDIA Tensor Core GPUs on all three major clouds to enable high-performance single-node and distributed training for ML workloads. 
The companies plan to further the momentum of the Data Intelligence Platform to enable more organizations to create their next generation of data and AI applications with quality, speed and agility.
About DatabricksDatabricks is the Data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook.
Press contact:[email protected] 
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