Healthcare Fraud Detection Market 2018 to 2023 by Worldwide Top Service Providers as Pondera, Wipro, IBM, Optum and More

The Worldwide Healthcare Fraud Detection Market is likely to grow at a dual digit CAGR over the forecast period (2018 to 2023). Its companies indulge in mergers & acquisitions, strategic collaborations, and product innovations to grow their geographical reach and raise their industry value. Market expansion is credited to huge returns on investments, healthcare scams and rising fraud incidences.

Prominent Healthcare Fraud Detection Market Companies and Innovations:

SAS, Optum, IBM, Conduent, Pondera, and Wipro are some of the eminent players operating in the global market. CMS (Centers for Medicare and Medicaid Services), lately, optimized predictive modeling to detect fraud claims prior to them being paid. This cutting-edge technology is akin to what credit card firms adopt to detect fraudulent activities and distrustful conduct. It offers an active anti-fraud solution to the CMS. Some of the growth strategies employed by the above players are product launches and research & development initiatives.

Fraud damages are generally compensated for, through the adoption of ‘False Claims Act.’  As per an analysis by MRFR (Market Research Future Reports), rising demand for reduction in medical expenses across suppliers & hospitals should drive the need for healthcare fraud detection. With eHealth, mHealth, EHR, and other info-enriched devices, any kind of communication breach between patients and caregivers has decreased.

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The said factor has led to the production of massive information, enabling customized therapies and fraud prevention. Normally, patients are apprehensive about the adoption of such fraud detection tools. But, with the amalgamation of human & artificial intelligence, healthcare approaches are further personalized. Hence; the need for healthcare analytics rises, boosting the revenues of healthcare fraud detection.

Industry - Fragmentation:

The healthcare fraud detection market is segmented on the basis of components, kinds, end-users, delivery models, and geographies. Services and software form the components. Predictive analytics, descriptive analytics, and prescriptive analytics constitute the kinds. Some of the end-users consist of employers, regulatory/public agencies, private insurance payers, and third party services.

The remaining comprise payment integrity, insurance claim reviews, and identity & case management. Various delivery models are on-demand and on-premise. Americas, Asia Pacific, Europe, and the Middle East & Africa are the different regional markets.

Sub-Segment Leaders:

By components, services captured the largest shares. With the advent of newer fraud detection software and demand for fraud analytics, services are reported to grow at the maximum CAGR in the forecast period. Among kinds, descriptive analytics produced the largest incomes.

Prescriptive, on the contrary, would grow at the maximum rate. Its growth will owe to it making sure that the synergistic incorporation of prescriptions & predictions is aptly carried out. The end-user, private insurance payers occupied the biggest shares and are coerced into spending on fraud analytics. Their shares arose from significant ‘cost-saving’ prospects and agreement with strict terms & conditions.

By delivery models, on-demand can grow at the maximum rate during 2017 to 2023. On-demand’s huge CAGR is ascribed to more adaptability, the need for self-driven analytics, and shortage of hardware funds. Americas, with regards to regions, led the worldwide healthcare fraud detection market.

This region was followed by Europe and propelled by technological developments, accessibility to products & services, and emphasis on pricing cut backs. While this industry opens novel prospects for many companies, its growth could be hampered by regular improvisations, time-consuming usage, and lack of proficient experts.

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Major TOC of Global Healthcare Fraud Detection Market Research Report - Forecast to 2023

1. Report Prologue

2. Introduction

2.1 Definition

2.2 Scope of the Study

2.2.1 Research Objective

2.2.2 Assumptions

2.2.3 Limitations

2.3 Market Structure

2.4. Market Segmentation

3. Research Methodology

3.1 Research Process

3.2 Primary Research

3.3 Secondary Research

3.4 Market Size Estimation

3.5 Forecast Model

TOC Continued….!

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