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Healthcare Predictive Analytics Global Market to 2028: Growing Need to Reduce Healthcare Costs Using Predictive Analytics Fuels the Sector

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Dublin, July 07, 2023 (GLOBE NEWSWIRE) — The “Healthcare Predictive Analytics Market – Global Outlook & Forecast 2023-2028” report has been added to ResearchAndMarkets.com’s offering.

The global healthcare predictive analytics market is expected to reach $30.71 billion by 2028 from $9.21 billion by 2022 grow at a CAGR of 22.23% from 2022-2028.

Market Trends and Drivers

Predictive AI Enhancing Patient Care and Health Outcomes

Predictive AI enhancing patient care and health outcomes is an emerging area of healthcare technology that uses artificial intelligence (AI) to help healthcare providers make informed decisions about a patient’s care.

Predictive AI can analyze vast amounts of data from multiple sources to provide insights about the patient’s condition, treatment history, and other data points that can help health professionals predict health problems and develop targeted treatment plans.

By integrating AI into patient care, healthcare providers can more accurately diagnose and treat conditions, improve patient outcomes, and reduce costs. In addition, predictive AI can identify potential risk factors for disease and provide early warning signs of health problems.

In the healthcare predictive analytics market, AI can examine patient records to predict the likelihood of certain diseases and disorders. Recent studies have shown that AI can detect previously difficult conditions to identify and diagnose, such as rare genetic and neurodegenerative diseases.

Predictive Analytics in Home Health

Predictive analytics in home health uses data-driven models and algorithms to help predict and anticipate future health outcomes or risks. These analytical methods are typically used by clinicians, administrators, providers, and health plans to identify and reduce risks in the home health care setting.

Through predictive analysis, healthcare providers can make better-informed decisions regarding patient care to improve the quality and outcomes of care.

Predictive analytics can help determine which patients are likely to require higher levels of care or may need additional services; identify patients who may benefit from personalized treatments; assess the impact of various interventions on treatment outcomes; and improve communication between providers and patients. Predictive analytics can also assess mortality, readmission rates, and healthcare costs.

Increasing Importance of Predictive Analytics in Healthcare

The increasing importance of the healthcare predictive analytics market is projected to support the healthcare analytics industry. Predictive analytics helps healthcare practitioners identify potential health issues and take preventive action before it is too late, thus providing cost and time efficiency to healthcare providers.

Data from medical sensors, clinical laboratories, pharmacy information systems, and other sources help healthcare providers deliver tailored and personalized patient care.

Predictive analytics helps organizations to identify patterns and trends in large amounts of data and utilize the insights to improve operational efficiency, reduce costs and improve patient outcomes. Predictive analytics enables the healthcare provider to predict future health trends, identify at-risk patients, and formulate relevant intervention programs. The increasing use of healthcare analytics is leading to enhanced accuracy in diagnosis, improved patient outcomes, and reduced cost.

Growing Need to Reduce Healthcare Costs Predictive Analytics

Predictive analytics has become a valuable tool in healthcare as it helps to reduce healthcare costs by enabling improved decision-making, operational improvements, and targeted interventions. Predictive analytics helps healthcare organizations anticipate costs, identify trends, and reduce costs to focus on high-value patient care. Predictive analytics helps to forecast the future with better precision and accuracy, which provides a more robust basis for decisions and actions.

Predictive analytics are also used to support decisions related to population health, such as allocating resources to patients, assessing the financial impact of different treatments, and predicting when changes should be made to maximize cost savings. The growing need to reduce healthcare costs is leading to an increased demand for predictive analytics and is driving the healthcare predictive analytics market.

Availability of Abundant Patient Data Encouraging Usage of Predictive Analytics

The availability of abundant patient data is encouraging the usage of predictive analytics in healthcare and boosts the growth of the healthcare predictive analytics market. Predictive analytics uses data mining, machine learning, and statistical techniques to identify patterns and trends that can help diagnose illnesses, identify risk factors, and predict health outcomes.

This data can also identify high-risk patients, suggest interventions, and provide insights for improving patient care. By leveraging this data, healthcare professionals can make more informed decisions, leading to better outcomes and improved patient safety.

Additionally, predictive analytics can help health organizations improve efficiency and decrease costs by reducing unnecessary testing and treatment. The availability of abundant patient data pushes healthcare organizations to adopt predictive analytics technology and use it to its fullest potential.

Vendor Landscape

The global healthcare predictive analytics market is highly competitive, with global, regional, and local players recommending a broad range of conventional and latest-generation AI technologies for end-users.

The key vendors in the market include Health Catalyst, IBM, Koninklijke Philips, Microsoft, Oracle, and UNITEDHEALTH GROUP, based on digital healthcare platforms, patient management, and clinical advancements. These companies have a wide geographic presence, diverse product portfolios, and a strong focus on product innovation, R&D, and business expansion activities.

Key Company Profiles

  • Health Catalyst
  • IBM
  • Koninklijke Philips
  • Microsoft
  • Oracle
  • UNITEDHEALTH GROUP

Other Prominent Vendors

  • Allscripts Healthcare
  • Apixio
  • CGI
  • Change Healthcare
  • Conduent
  • COTIVITI
  • Epic Systems
  • Flatiron
  • Forian
  • FraudLens
  • FRISS
  • Healthcare Fraud Shield
  • LexisNexis Risk Solutions
  • MedeAnalytics
  • Net Health
  • OSP
  • PotentiaMetrics
  • SAS Institute
  • Verisk Analytics
  • Wipro

Key Questions Answered:
1. How big is the global healthcare predictive analytics market?
2. What is the growth rate of the healthcare predictive analytics market?
3. What are the growing trends in the healthcare predictive analytics industry?
4. Which region holds the most significant global healthcare predictive analytics market share?
5. Who are the key players in the global healthcare predictive analytics market?

Key Attributes:

Report Attribute Details
No. of Pages 309
Forecast Period 2022 – 2028
Estimated Market Value (USD) in 2022 $9.21 Billion
Forecasted Market Value (USD) by 2028 $30.71 Billion
Compound Annual Growth Rate 22.2%
Regions Covered Global

Key Topics Covered:

1 Research Methodology

2 Research Objectives

3 Research Process

4 Scope & Coverage
4.1 Market Definition
4.1.1 Inclusions
4.1.2 Exclusions
4.1.3 Market Estimation Caveats
4.2 Base Year
4.3 Scope of the Study
4.3.1 Market Segmentation by Delivery Mode
4.3.2 Market Segmentation by Application
4.3.3 Market Segmentation by End-User
4.3.4 Market Segmentation by Geography

5 Report Assumptions & Caveats
5.1 Key Caveats
5.2 Currency Conversion
5.3 Market Derivation

6 Premium Insights
6.1 Overview
6.1.1 Geography Insights
6.1.2 Delivery Mode Segmentation Insights
6.1.3 Application Segmentation Insights
6.1.4 End-User Segmentation Insights

7 Market at a Glance

8 Introduction
8.1 Overview

9 Market Opportunities & Trends
9.1 Predictive AI Enhancing Patient Care and Health Outcomes
9.2 Predictive Analytics in Home Health
9.3 Emerging Use of Predictive Analytics in Disease Management

10 Market Growth Enablers
10.1 Increasing Importance of Predictive Analytics in Healthcare
10.2 Digital Transformation in Healthcare
10.3 Growing Need to Reduce Healthcare Costs Using Predictive Analytics
10.4 Availability of Abundant Patients Data Encouraging Use of Predictive Analytics

11 Market Restraints
11.1 Ethics and Moral Hazards in Healthcare Predictive Analytics
11.2 Serious Privacy Considerations
11.3 Impact of Technology on Care and Lack of Regulations

12 Market Landscape
12.1 Market Overview
12.2 Market Size & Forecast
12.3 Market Opportunities
12.3.1 Market by Geography
12.3.2 Market by Delivery Mode
12.3.3 Market by Application
12.3.4 Market by End-User
12.4 Five Forces Analysis
12.4.1 Threat of New Entrants
12.4.2 Bargaining Power of Suppliers
12.4.3 Bargaining Power of Buyers
12.4.4 Threat of Substitutes
12.4.5 Competitive Rivalry

13 Delivery Mode

14 Application

15 End-Users

16 Geography

17 North America

18 Europe

19 APAC

20 Latin America

21 Middle East & Africa

22 Competitive Landscape

23 Key Company Profiles

24 Other Prominent Vendors

25 Report Summary

26 Quantitative Summary

27 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/jrocy1

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Artificial Intelligence

LambdaTest launches LambdaTest extension for GitHub Copilot to make test automation pervasive across SDLC and drive developer productivity

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NOIDA, India and SAN FRANCISCO, May 22, 2024 /PRNewswire/ — LambdaTest extension for GitHub Copilot enables AI-powered bridge experiences by seamlessly integrating test and dev workflow. It acts as a test automation copilot, assisting developers with quality assurance capabilities across different stages in SDLC, right where they code.

May 22, 2024, Noida/San Francisco: LambdaTest, a leading cloud-based unified testing platform, announced the launch of the LambdaTest extension for GitHub Copilot. This innovative capability revolutionizes the way developers manage and execute test workflows within their integrated development environments (IDEs).
The LambdaTest extension seamlessly integrates with GitHub Copilot Chat bridging the gap between development and testing workflows. Developers can now trigger test execution directly from their GitHub and VS Code environment, eliminating the need to switch between multiple applications. This streamlined process enhances productivity and accelerates software delivery.
With LambdaTest extension, developers can initiate tests effortlessly with a simple command, bringing testing closer to their code. This capability not only saves time but also enhances collaboration among development and testing teams by providing a unified platform for managing quality software releases, faster.
Moreover, real-time feedback integrated into GitHub Copilot empowers developers to iterate more efficiently, at speed, ensuring the quality and stability of their codebase. By conveniently viewing regression run results within their coding environment, developers and testers can quickly identify and address potential issues or bugs, facilitating faster resolution and delivery of high-quality software.
“LambdaTest Extension for GitHub Copilot is a huge milestone in our commitment to enable devs and QA processionals worldwide with frictionless experiences to accelerate software delivery.,” said Mohit Juneja, VP, Strategic Sales and Partnerships, LambdaTest. “Gone are the days of switching between multiple applications; now, developers can design, trigger, and analyze tests with simple prompts in natural language, without switching context from the IDE.”
The benefits of the LambdaTest extension extend beyond just test execution. It also offers powerful analysis tools, allowing developers to dive deep into test data, identify trends, and make data-driven decisions to continuously improve code quality and stability.
LambdaTest remains committed to driving innovation in the field of software testing, and this capability is another testament to that commitment. By providing developers and testers with tools to streamline processes and deliver high-quality software efficiently, LambdaTest continues to support and empower software development teams worldwide.
The LambdaTest extension for GitHub Copilot is now available for developers and testers. To learn more and get started, visit https://github.blog/2024-05-21-introducing-github-copilot-extensions
About LambdaTest LambdaTest is an intelligent and omnichannel enterprise execution environment that helps businesses drastically reduce time to market through Just in Time Test Orchestration (JITTO), ensuring quality releases and accelerated digital transformation. Over 10,000+ enterprise customers and 2+ million users across 130+ countries rely on LambdaTest for their testing needs.
Browser & App Testing Cloud allows users to run both manual and automated tests of web and mobile apps across 3000+ different browsers, real devices, and operating system environments.HyperExecute helps customers run and orchestrate test grids in the cloud for any framework and programming language at blazing-fast speeds to cut down on quality test time, helping developers build software faster.For more information, please visit, https://lambdatest.com
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Artificial Intelligence

DeepL announces $300 million investment at $2 billion valuation fueled by global demand for AI language solutions

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Index Ventures led heavily oversubscribed round with participation from late-stage investment firms ICONIQ Growth, Teachers’ Venture Growth, and more Rapid enterprise adoption of DeepL has fueled the company’s growth in 60+ global markets for 100,000+ businesses, governments, and other organizationsDeepL’s Language AI Platform for business provides category-leading AI-powered translation and writing solutions COLOGNE, Germany, May 22, 2024 /PRNewswire/ — DeepL, a leading Language AI company, today announced $300 million of investment at a $2 billion valuation. Led by Index Ventures, the heavily oversubscribed round attracted strong support from new investors, who will bring their extensive expertise, connections, and resources to support DeepL’s growth and long-term vision to transform the way companies communicate around the world. Additional late-stage investors, including ICONIQ Growth, Teachers’ Venture Growth, and others, also participated, along with existing investors IVP, Atomico, and WiL.

“We’re approaching an inflection point in the AI boom where businesses who are racing to adopt the technology begin to discern between hype versus solutions that are secure and actually solve real problems in their business,” said Jarek Kutylowski, founder and CEO of DeepL. “This new investment comes during what is on track to be DeepL’s most transformative year yet and is a testament to the crucial role that our Language AI platform has in solving the complex linguistic challenges global companies face today. We’re highly focused on continued growth and innovation to expand our solutions and ensure they remain industry-leading in terms of quality, precision, and security. This will bring us closer to a future where every company, regardless of location, can operate seamlessly on a global scale with our AI.”
The new investment comes during a period of significant growth and momentum for DeepL, which has amassed a customer network of 100,000+ businesses, governments, and other organizations worldwide. This network includes Zendesk, Nikkei, Coursera, and Deutsche Bahn, who rely on its highly accurate and secure enterprise Language AI platform to deliver seamless communication, driving international growth and cost savings. In response to surging demand from global enterprises, DeepL has accelerated its expansion efforts and strategic investments into key markets over the past year. In January 2024, DeepL deepened its commitment to the U.S.—now its third largest market—by opening its first office in the region. The company continues to expand its team in the U.S. to support growing demand.
Within the last 12 months, DeepL has also substantially broadened its product offerings tailored for businesses. In April 2024, the company launched DeepL Write Pro, a writing assistant specifically tailored for business writing, powered by its own proprietary LLM technology. The company also continues to expand the range of languages supported by its platform with the recent additions of Arabic, as well as Korean and Norwegian, bringing its total number of languages to 32.
“DeepL’s runaway success is a bit of an ‘open secret’ in the business community,” said Danny Rimer, who led the investment from Index Ventures. “The company is exceptionally thoughtful about creating cutting-edge AI products that deliver real and immediate value to their customers. Jarek and the rest of the DeepL team are equally research and commercially minded – both of which are key to the company’s success.” Index Ventures is recognized for its investments in highly successful SaaS businesses like Figma, Slack, Wiz, and Scale AI.
Demand for AI solutions among global enterprises is on the rise. A recent IBM study found that 42% are already actively deploying AI and 40% are exploring its potential. Within this rapidly evolving landscape, DeepL is leading the way in applying AI to transform the $67.9 billion language industry, which is projected to grow to $95.3 billion by 2028.
Since its inception in 2017, DeepL has become the Language AI provider of choice for businesses across multiple industries including manufacturing, legal, retail, healthcare, technology, and professional services. The company’s specialized Language AI platform has become a critical investment for global businesses today, addressing a variety of communication challenges ranging from internal communications to customer support and international market expansion. Unlike general-purpose AI systems, DeepL’s cutting-edge translation and writing solutions rely on specialized AI models specifically tuned for language, resulting in more precise translations for a variety of use cases and a reduced risk of hallucinations and misinformation. In business translation and writing, accuracy is paramount, making specialized AI models the most reliable and preferred solution for language challenges.
DeepL’s Language AI platform is also proven to drive significant cost savings and efficiencies. A 2024 Forrester study revealed that the use of DeepL delivered 345% ROI for global companies, reducing translation time by 90% and driving a 50% in workload reduction, underscoring, in our opinion, the power of its platform for businesses looking to grow their revenue and enter new markets faster and at scale.
“At Zendesk we see first hand the power of infusing AI tools into customer experience, and DeepL’s industry-leading translation is a prime example,” said Adrian McDermott, CTO, Zendesk. “The ability to have accurate AI translation allows companies from startups to large enterprises the ability to scale globally, reaching prospects and existing customers in new ways. Zendesk’s open and flexible platform allows for seamless partnerships, and the tangible results we’ve seen so far from joint customers have us looking forward to continued work with DeepL.”
Looking ahead, DeepL will continue to invest in research and product innovation to strengthen its suite of leading AI communication tools for businesses. The company is also doubling down on global market expansion and talent recruitment across multiple areas including AI research, product, engineering, and GTM.
 
About DeepLDeepL is on a mission to break down language barriers for businesses everywhere. Over 100,000 businesses, governments and other organizations and millions of individuals in 63 global markets trust DeepL’s Language AI platform for human-like translation and better writing. Designed with enterprise security in mind, companies around the world leverage DeepL’s AI solutions that are specifically tuned for language to transform business communications, expand markets and improve productivity. Founded in 2017 by CEO Jaroslaw (Jarek) Kutylowski, DeepL today has over 900 passionate employees and is supported by world-renowned investors including Benchmark, IVP and Index Ventures.
Contact:Sebastian RiesOpeners [email protected]+49 1578 058 8488
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Artificial Intelligence

Hyundai Motor and Plus Announce Collaboration to Demonstrate First Level 4 Autonomous Fuel Cell Electric Truck in the U.S.

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Hyundai Motor and Plus collaboration aims to enhance road safety and freight efficiencies by demonstrating benefits of XCIENT Fuel Cell truck equipped with Plus’s Level 4 autonomous driving softwareHyundai Motor’s Class 8 XCIENT Fuel Cell truck featuring Plus’s Level 4 SuperDrive™ system is on display at the Plus ACT Expo booth (#2044)LAS VEGAS and SEOUL, South Korea, May 22, 2024 /PRNewswire/ — Hyundai Motor Company (Hyundai Motor) and autonomous driving software leader Plus today unveiled the first Level 4 autonomous Class 8 hydrogen fuel cell electric truck in the U.S. at the Advanced Clean Transportation (ACT) Expo, the largest advanced clean transportation technology and fleet event in North America.

A result of the collaboration between Hyundai Motor and Plus, Hyundai Motor’s XCIENT Fuel Cell truck, equipped with Plus SuperDrive™ Level 4 autonomous driving technology, is on display at the Plus ACT Expo booth (#2044).
The Level 4 autonomous XCIENT Fuel Cell truck is undergoing initial autonomous driving assessments in the U.S., making it the first-ever Level 4 self-driving test on a Class 8 fuel cell electric truck to take place in the country. The collaboration seeks to show that autonomous hydrogen fuel cell trucks can help make trucking safer, more efficient, and more sustainable.
“We are excited to showcase our collaboration with Plus to test Level 4 autonomous driving technology with our Class 8 XCIENT Fuel Cell truck,” said Martin Zeilinger, Executive Vice President and Head of Commercial Vehicle Development at Hyundai. “Hyundai Motor has been driving the energy transition paradigm with our advanced fuel cell technologies. By adding autonomous capabilities to our world’s first mass-produced hydrogen-powered XCIENT Fuel Cell truck, Hyundai is looking forward to providing fleets and vehicle operators additional solutions that enhance road safety and freight efficiencies thanks to Plus’s industry-leading autonomous driving technology.”
First introduced in 2020, Hyundai Motor’s XCIENT Fuel Cell truck has conducted commercial operations in eight countries worldwide, establishing a successful track record of real-world applications and technological reliability.
At last year’s ACT Expo, Hyundai introduced XCIENT Fuel Cell tractor, the commercialized Class 8 6×4 fuel cell electric model, powered by two 90kW hydrogen fuel cell systems and a 350kW e-motor, providing a driving range of over 450 miles per charge even when fully loaded.
Plus’s SuperDrive™ solution is being deployed across the U.S., Europe, and Australia. The system uses a combination of cutting-edge sensors, including LiDAR, radar and cameras, to provide surround perception, planning, prediction and self-driving capabilities.
“We are thrilled to collaborate with Hyundai Motor Company on this important initiative to create more sustainable and safe transportation options. A decarbonized future with autonomous hydrogen fuel cell electric trucks that also improve safety and efficiency is one that Plus is proud to support with our cutting-edge autonomous driving technology,” said Shawn Kerrigan, COO and Co-Founder at Plus.
Hyundai Motor and Plus have released a video highlighting their collaboration, which can be seen here: https://www.youtube.com/watch?v=_d19h_v7abo.  
About Hyundai Motor Company
More information about Hyundai Motor and its products can be found at: https://www.hyundai.com/worldwide/en/ or Newsroom: Media Hub by Hyundai
About Plus
For more information, visit http://www.plus.ai/.
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