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Global Healthcare Fraud Analytics Market Report 2023: A Large Number of Fraudulent Activities Fuels the Sector

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Dublin, May 03, 2023 (GLOBE NEWSWIRE) — The “Healthcare Fraud Analytics Global Market Report 2023” report has been added to ResearchAndMarkets.com’s offering.

This reportprovides strategists, marketers and senior management with the critical information they need to assess the market.

The global healthcare fraud analytics market grew from $2.43 billion in 2022 to $3.09 billion in 2023 at a compound annual growth rate (CAGR) of 27.0%. The healthcare fraud analytics market is expected to grow to $8 billion in 2027 at a CAGR of 26.9%.

Major players in the healthcare fraud analytics market are International Business Machines Corporation (IBM), Optum, Inc., SAS Institute, Inc., Change Healthcare, EXL Service Holdings, Inc., Cotiviti, Wipro Limited, Conduent, Inc., Hindustan Computers Limited Technologies Limited, CGI Inc., DXC Technology Company, Northrop Grumman Corporation, LexisNexis Group, Pondera Solutions, WhiteHatAI, Healthcare Fraud Shield, FraudLens, FraudScope, HMS Holding Corp., Fair, Isaac and Company(FICO), Qlarant, Inc., Codoxo, H20.ai, and OSP Labs, Sharecare, Inc.,

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  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia – Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis

Healthcare fraud analytics refers to on-premise and on-demand analytical solutions that assist in identifying issues such as duplication/repetition of claims and errors in claim healthcare operations and applications. Healthcare fraud analytics aims to help healthcare companies to audit their accounts and find out fraudulent activities in various transactions. It identifies frauds related to billings, claims, prepayment, post payments, and payment integrity.

The main type of solutions in healthcare fraud analytics are descriptive analytics, predictive analytics, prescriptive analytics. Descriptive analytics is a process of using current and historical data to identify trends and relationships. Healthcare fraud analytic solutions are deployed on-premise and on-demand, and they are widely used for insurance claims review, postpayment review, prepayment review, pharmacy billing misuse, payment integrity, other applications. Healthcare fraud analytics are used by public & government agencies, private insurance payers, third-party service providers.

The healthcare fraud analytics market research report is one of a series of new reports that provides healthcare fraud analytics market statistics, including healthcare fraud analytics industry global market size, regional shares, competitors with a healthcare fraud analytics market share, detailed healthcare fraud analytics market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare fraud analytics industry. This healthcare fraud analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Adopting and developing new technologies is a key trend gaining popularity in the healthcare fraud analytics market. The major companies are focusing on launching statistical data analytical and artificial intelligence (AI)-driven product and services to strengthen their market position. These fraud detection techniques perform various statistical operations, including data mining, regression analysis, machine learning, pattern recognition, supervised learning, unsupervised learning, and others.

North America was the largest region in the healthcare fraud analytics market in 2022. North America is expected to be the fastest-growing region in the forecast period. The regions covered in healthcare fraud analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the healthcare fraud analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA.

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A large number of fraudulent activities in the healthcare sector contribute to the growth of the healthcare fraud analytics market. Medical providers, patients, and third parties who intentionally deceive the healthcare system into acquiring unlawful benefits can commit fraud based on deception or misrepresentation. These fraud and abuse involve kickbacks, billing, billing for services not provided, medical testing, and other fraudulent activities.

For instance, according to Blue Cross Blue Shield Association, a US-based federation, in 2021, The National Heath Care Anti-Fraud Association estimated that health care fraud costs the nation about $68 billion annually, about 3 percent of the nation’s $2.26 trillion in health care spending. Other estimates range as high as 10 percent of annual health care expenditure, or $230 billion. Thus, the increasing number of fraudulent activities in healthcare is contributing to the growth of the healthcare fraud market.

The healthcare fraud analytics market includes revenues earned by entities by providing services such as fraud detection, predictive analytics, and Medicaid. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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Key Attributes:

Report Attribute Details
No. of Pages 200
Forecast Period 2023 – 2027
Estimated Market Value (USD) in 2023 $3.09 billion
Forecasted Market Value (USD) by 2027 $8 billion
Compound Annual Growth Rate 26.8%
Regions Covered Global

Key Topics Covered:

1. Executive Summary

2. Healthcare Fraud Analytics Market Characteristics

3. Healthcare Fraud Analytics Market Trends And Strategies

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4. Healthcare Fraud Analytics Market – Macro Economic Scenario
4.1 COVID-19 Impact On Healthcare Fraud Analytics Market
4.2 Ukraine-Russia War Impact On Healthcare Fraud Analytics Market
4.3 Impact Of High Inflation On Healthcare Fraud Analytics Market

5. Healthcare Fraud Analytics Market Size And Growth
5.1. Global Healthcare Fraud Analytics Historic Market, 2017-2022, $ Billion
5.1.1. Drivers Of The Market
5.1.2. Restraints On The Market
5.2. Global Healthcare Fraud Analytics Forecast Market, 2022-2027F, 2032F, $ Billion
5.2.1. Drivers Of The Market
5.2.2. Restraints On the Market

6. Healthcare Fraud Analytics Market Segmentation
6.1. Global Healthcare Fraud Analytics Market, Segmentation By Solution Type, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics

6.2. Global Healthcare Fraud Analytics Market, Segmentation By Delivery Model, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

  • On-Premise
  • On-Demand

6.3. Global Healthcare Fraud Analytics Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

  • Insurance Claims Review
  • Postpayment Review
  • Prepayment Review
  • Pharmacy Billing Misuse
  • Payment Integrity
  • Other Applications

6.4. Global Healthcare Fraud Analytics Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

  • Public & Government Agencies
  • Private Insurance Payers
  • Third-Party Service Providers

7. Healthcare Fraud Analytics Market Regional And Country Analysis
7.1. Global Healthcare Fraud Analytics Market, Split By Region, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
7.2. Global Healthcare Fraud Analytics Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion

For more information about this report visit https://www.researchandmarkets.com/r/l0a96f

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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

ResourceWise Brings Its Cross-Commodity Data and Analytics Expertise to New Oleochemicals Service

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ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 
CHARLOTTE, N.C., June 24, 2024 /PRNewswire/ — ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 

For the first time, one digital product encompasses expertise that spans all the key commodity sectors that ResourceWise covers. Dedicated to renewable feedstock, the new platform-based oleochemicals analysis and insight tools draw on decades of experience within each distinct business sector. 
Dwight Lynch, Biomaterials Business Manager at ResourceWise, is leading the transition towards data and insight on renewable intermediates and biobased and biodegradable polymer inputs. 
“Navigating oleochemicals markets at a time when regulation, legislation, and competition from renewable fuels markets are the key drivers is a challenge. Our new service offers pricing and analysis that informs decision-makers and allows sustainable business to thrive.” 
The new oleochemicals portal in ResourceWise’s flagship chemicals market intelligence platform, OrbiChem360, has evolved beyond its legacy biomaterials insights to focus on the fats and oils markets that are key to sustainability.  
It presents pricing data and analysis that ResourceWise biomaterials experts have furnished within OrbiChem360 this past decade and includes a crude tall oil (CTO) price index. The inclusion of a forest-based output introduces the ResourceWise platform FisherSolve’s pulp and paper industry insight to our portfolio. 
Pete Stewart, the CEO of ResourceWise, is focused on the future. “From raw material converters to end-use consumer goods producers, manufacturing value chain participants are increasingly seeking cross-commodity insights to meet low-carbon targets. We are building and providing the data and analytics businesses need to achieve environmental, social, and governance (ESG) targets and market products competitively worldwide.  
“The ResourceWise mission is to use the intelligence within the increasingly inter-related business sectors we have harnessed to guide customers in their journey toward a net-zero future. This new offering is the first of many milestones in our endeavor to do just that,” adds Stewart.  
A Streamlined Renewable Chemicals Service  
The new product leverages oleochemical pricing and commentary gathered by ResourceWise legacy brands since 2014 and insight collected since the 1990s. It extends our regional reach with additional price points and streamlines the data and analytics provided.  
The new portal is designed with personal care, cosmetics, detergents, lubricants, pharmaceuticals, flavor and fragrance, and food and beverage market participants in mind. However, it provides pricing data and insights for producers, intermediaries, and consumer product manufacturers in broader industries. 
More Than Forty Current and Historical Prices          
International price indexes for oleochemicals include the feedstocks soybean, coconut, tall, rapeseed, and palm oils, as well as tallow and glycerine grades Dozens of spot and contract prices for fatty acids and fatty alcohols plus comprehensive commentary based on intelligence from a worldwide contact base       Low-carbon price benchmarks and commentary in our oleochemicals offering will increasingly leverage intelligence on the biofuels sector within the Prima CarbonZero platform      Global Trade Flow graphics for all oils and tallow to help customers understand how key plant and animal-based feedstocks are traded globally to identify new markets and sources   Industry experts contextualize data, making it actionable, and respond personally to customer inquiries By bridging information gaps in the chemicals market, OrbiChem360 subscribers gain a competitive edge in volatile markets. The platform provides decision makers with robust, data-driven insight that unravels market trends so they can harness growth opportunities. For more information on the OrbiChem360 platform, visit the ResourceWise OrbiChem360 page. 
CONTACT:
Contact:Suz-Anne Kinney          Vice President, Marketing & Communications at [email protected]  +1 (980) 233-4021
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AI Vulnerability Scanning market Size to Grow USD 7,574.30 Million by 2030 at a CAGR of 13.52% | Valuates Reports

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BANGALORE, India, June 24, 2024 /PRNewswire/ — AI Vulnerability Scanning market is Segmented by Type (On-premises, Cloud-Based), by Application (SMEs, Large Enterprise): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global AI Vulnerability Scanning market was valued at USD 3121.56 million in 2023 and is anticipated to reach USD 7,574.30 million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.
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 Major Factors Driving the Growth of AI Vulnerability Scanning Market:
The market for AI vulnerability assessment is being pushed by the growing requirement for strong cybersecurity defenses against increasingly complex and dynamic cyberthreats. AI-specific vulnerabilities are becoming more likely as organizations use machine learning (ML) and artificial intelligence (AI) more extensively, which calls for the use of specialized scanning solutions. AI vulnerability scanners use cutting-edge algorithms to find and fix security flaws in AI models, shielding against criminal activity, data breaches, and adversarial attacks. The demand for AI vulnerability screening tools is being driven primarily by the increasing awareness of AI security concerns, regulatory constraints for strict data protection, and the integration of AI across multiple sectors, including banking, healthcare, and automotive. Furthermore, improvements in AI and ML methods boost these scanning solutions’ efficacy and propel the market forward.
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TRENDS INFLUENCING THE GROWTH OF THE AI VULNERABILITY SCANNING MARKET
Because cloud-based AI vulnerability scanning provides scalable, effective, and all-encompassing security solutions, it is driving the growth of the AI vulnerability scanning market in major companies. By constantly monitoring and analyzing enormous volumes of data across enterprise networks, these cloud-based systems make use of cutting-edge AI algorithms to spot possible vulnerabilities in real time. Large businesses can effectively manage security across different and complex IT infrastructures thanks to the flexibility and scalability of cloud solutions, which guarantees strong defense against constantly changing cyber threats. Furthermore, cloud-based platforms’ centralized architecture makes it simpler to integrate and upgrade with pre-existing security frameworks, which improves overall resiliency. The market is expanding significantly as a result of large organizations prioritizing cybersecurity and the increased need for advanced, AI-driven vulnerability detection solutions.
The market for AI vulnerability scanning is primarily driven by the rise in complex cyberthreats. Organizations are becoming more cognizant of the necessity for sophisticated security measures as cyber threats escalate in complexity and frequency. When it comes to identifying and countering these contemporary threats, traditional vulnerability scanning techniques frequently fall short. Real-time detection and prediction analysis capabilities are provided by AI-powered vulnerability scanning solutions, which can detect possible security breaches before they happen. Organizations must make significant investments in AI-based security solutions in order to preserve business continuity and protect critical data.
One major element propelling the market expansion for AI vulnerability scanning is regulatory compliance. Tight laws are being passed by governments and business associations across the globe to guarantee cybersecurity and data security. Sufficient observance of regulations like GDPR, HIPAA, and CCPA necessitates ongoing security vulnerability reporting and monitoring. AI vulnerability scanning systems offer thorough and automated security assessments, which assist enterprises in meeting these legal obligations. This ability not only guarantees compliance but also lowers the possibility of fines and harm to one’s reputation, which motivates more companies to choose AI-powered security solutions.
Another important element propelling the market for AI vulnerability scanning is cost effectiveness. Conventional security methods are resource-intensive and can require a large amount of manual effort, which raises operational costs. The identification and mitigation of security threats are automated by AI-powered vulnerability scanning solutions, which minimizes the need for significant human participation. Organizations save a significant amount of money because of this automation, especially big businesses with sophisticated IT infrastructures. Furthermore, early vulnerability detection reduces the possible financial effect of cyberattacks, which makes AI-driven solutions a financially viable choice for companies.
The market for AI vulnerability scanning is expanding due in large part to the need for real-time threat identification. Real-time security threat detection and response is essential in today’s fast-paced digital world. Artificial intelligence (AI)-driven vulnerability scanning solutions enable businesses to quickly respond to possible threats by offering continuous monitoring and instantaneous analysis of security weaknesses. Reducing the effects of cyberattacks and preserving the integrity of vital systems depend on this real-time detection capabilities. Adoption of AI-based security solutions is driven by the increased requirement for quick reaction to threats.
The market for AI vulnerability screening is being driven by several factors, including increased accuracy and precision. Conventional vulnerability scanning techniques can miss subtle security risks and generate false positives. On the other hand, AI-powered products use sophisticated analytics and machine learning algorithms to pinpoint vulnerabilities extremely precisely. This lowers the quantity of false alarms and guarantees that serious dangers are dealt with right away. Because AI-driven solutions are more accurate, security measures are more effective overall, which is why businesses looking for dependable and all-inclusive vulnerability management choose them.
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AI VULNERABILITY SCANNING MARKET SHARE ANALYSIS
The market for AI vulnerability scanning is dominated by North America because of the region’s strong emphasis on cybersecurity and technical improvements. Because there are so many tech businesses, financial institutions, and government organizations in the US that need to implement strong cybersecurity measures, the country is a big participant in this space. The development and uptake of sophisticated vulnerability scanning solutions are aided by the presence of significant AI and cybersecurity companies in the area. The industry is additionally driven by strict regulatory requirements, such as those imposed by the Health Insurance Portability and Accountability Act (HIPAA) and the Federal Information Security Management Act (FISMA), which force firms to install extensive security measures. The increased frequency of cyberattacks in North America emphasizes the necessity for sophisticated AI-powered security measures.
Key Players:
European UnionCRYPTTECHSecPointTheSmartScannerSecureWorksCybotsCyber OrionImmuniWeb SAVertaHuawei CloudFreeBufAlibaba CloudIBMGoogle CloudBARUTUAmazon AWSPurchase Regional Data: https://reports.valuates.com/request/regional/QYRE-Auto-12L15782/Global_AI_Vulnerability_Scanning_Market_Research_Report_2023
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Artificial Intelligence

Timekettle Announces HybridComm 3.0 Upgrade, Marking a New Era in Near-human-level AI Translation Technology

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SHENZHEN, China, June 24, 2024 /PRNewswire/ — Timekettle is excited to announce the release of its latest software upgrade, the AI Semantic Segmentation. Powered by Timekettle’s cutting-edge TurboFast Technology under HybridComm 3.0, the AI Semantic Segmentation sets a new standard in real-time language translation, solidifying Timekettle’s position as the expert in AI translator earbuds.

As the pioneer and innovator in cross-language communication solutions, Timekettle has relentlessly advanced the field through innovative products, marking a significant chapter in AI translation devices. Initially offering handheld translators for simple exchanges, Timekettle’s breakthrough came with the WT2 Plus Translator Earbuds, featuring HybridComm 1.0 for seamless, one-way translation and a speaker mode for broader communication. The subsequent launch of the WT2 Edge Real-time Translator Earbuds, with HybridComm 2.0, enabled natural, bidirectional conversations. The latest advancement, powered by HybridComm 3.0 featuring the AI Semantic Segmentation, significantly enhances translation efficiency and accuracy, marking a new era in near-human-level AI translation technology.
Leveraging the advanced TurboFast Technology, the AI Semantic Segmentation ensures a seamless and instant translation experience, helping the translated speech align perfectly with the speaker’s rhythm, and eradicating the issue of delayed translated output in crucial communication scenarios. It begins by grasping the core meaning of sentences. Once it aligns closely with the “entirely correct” benchmark, it begins translating while still processing the original voice, allowing users to hear the translated audio sooner.
Thanks to the AI Semantic Segmentation, the delay in receiving translated audio has been reduced by 200%, bringing its real-time translation capabilities on par with live interpretation. Internal test conducted recently revealed that with the AI Semantic Segmentation, a translated speech only delays a sentence lag time, while other traditional speech translation devices may experience significant delays of 30 to 40 seconds.
This significant reduction, cutting over 20 seconds of waiting time, has revolutionized continuous communication. Picture being at a conference room where attendees can instantly hear the translation of a sentence right as the speaker starts the next. Such a seamless flow of communication marks a new era of cross-language interaction, paving the way for a more connected world.
The AI Semantic Segmentation is now available on Timekettle WT2 Edge Real-time Translator Earbuds, M3 Language Translator Earbuds, and X1 AI Interpreter Hub (One-on-one mode, Listen & Play mode, and Ask & Go mode for now; Voice Call mode and more starting June 28th) and upon installing the latest software update for existing users. 
About Timekettle
Established in 2016, Timekettle is dedicated to advancing cross-language communication through innovative products and solutions. Recognized with numerous international accolades, including the CES Innovation Award, iF Design Award, and Japan Good Design Award, Timekettle’s products have proudly served the needs of cross-language communication in a variety of user scenarios, including abroad-living, traveling, multi-language meetings and classrooms, as well as in manufacturing and logistics, and beyond. Having solidified a user database of more than 400,000, Timekettle continues its journey as the Global No.1 AI Translator Device.
For further information, please visit https://www.timekettle.co/ or contact [email protected]
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