Research PREVIEW forBig Data Opportunities in the US Medical Imaging

Market

US Medical Imaging Industry Leaps Firmly into the Big Data Realm

Key Findings

Source: Frost & Sullivan

Big Data in Medical Imaging

Big Data Management

Opportunity Growth = 12.5%

(2014–2019 CAGR)

Big Data Analytics

Opportunity Growth = 21.5%

(2014–2019 CAGR)

How can we use it?Leveraging Big Data in medical imaging requires a radically different approach than the conventional way of handling data, which relies on single, monolithic data archives. Often static and rigid, these conventional archives pose limits on scalability and sustainability as well as on usability.

Semantic technologies and a service-oriented architecture providing broker services for real-time, on-demand data access coupled with solid security services, are seen as the model of choice and the key for unlocking the potential of medical imaging Big Data.

What is Big Data in medical imaging?

Big Data in medical imaging refers to those datasets, including medical images and related datasets, that are in the order of petabytes (1,000 terabytes or one million gigabytes) and are accessible to or managed by a single institution or governing entity. For the purpose of this research, the market opportunity for Big Data in medical imaging has been segmented into Big Data Management and Big Data Analytics.

What are the key growth drivers?• Rising volumes of medical image datasets and accelerating

trends towards provider consolidation and interconnectivity, leading to more archives falling into the realm of Big Data

• Push for healthcare information technology (IT) interoperability and business intelligence in healthcare

• Application of various enabling technologies that improve collection and dissemination of data to medical imaging

Key Market Opportunities

Medical Imaging Big Data ManagementTechnologies that enable the aggregation of datasets into single points of access, such as enterprise archives and repositories that include, without necessarily being limited to, medical image data

Medical Imaging Big Data AnalyticsLarge datasets that offer a single point of access through a single database and constitute the main opportunity to interrogate and analyze medical image Big Data for clinical, operational, and financial purposes

Key Findings (continued)

Source: Frost & Sullivan

Target Market Segments Potential Business and Service Models

PatientsUltimate data

owners

Clinical Imaging Service Providers

Key data generators and

consumers

Contribute to increasing data volume through• Higher volumes of imaging

procedures• Higher utilization of advanced

imaging techniques• Higher rates of affiliations and

data centralization amongst multiple providers

Traditional Models

• On-premise solutions

• Purchased through capital expenditure (CapEx)

• Owned by the provider

Emerging Models

• Data center based solutions

• Purchased through operational expenditure (OpEx)

• Hosted and leased solutions

Vendors are driving business model evolution by redefining the unit of value, which shows how healthcare is becoming increasingly data-driven.

CEO’s Perspective

2Data-intensive and largely digitized, medical imaging Big Data opens up a highly strategic growth area in imaging informatics.

3Medical imaging Big Data management needs to address the large volume, but also the variety, velocity, veracity, and the value of the data.

4 Included in full research access.

1Medical imaging is proving to be an important testing ground for vendors eyeing Big Data market opportunities in healthcare.

Source: Frost & Sullivan

Executive Summary—3 Big Predictions

Source: Frost & Sullivan

2While the market is currently fragmented consisting of disparate large-scale projects, best practices for Big Data management and analytics will begin to standardize and drill down into the broader medical imaging IT management market.

3As the techniques for Big Data management and Big Data analytics in healthcare and medical imaging mature, the current synergies will accelerate eventually leading to a convergence of the two market opportunities.

1As the consolidation of hospitals, the formation of accountable care organizations (ACO), and the acceleration of image exchange networks continue, more medical imaging datasets will start falling under the realm of Big Data.

Scope and Segmentation

• This study covers the US market for medical imaging Big Data management and medical imaging Big Data analytics solutions pertaining to large datasets that are in the order of petabytes.

• This market opportunity is a subset of medical imaging data management and analytics, which pertain to datasets of any size.

• Single vendor contracts for data management or analytics may involve multiple individual facilities, but will be counted as a single unit contract.

• Research includes in-depth analysis of emerging technologies, business and service models, and profiles of leading market vendors including Dell, EMC Corporation, GE Healthcare, IBM, McKesson Corporation, Perceptive Software, Philips Healthcare, and Siemens along with relevant mentions of other market participants.

Source: Frost & Sullivan

Geographic coverage United States

Study period 2014–2019

Base year 2014

Forecast period 2015–2019

Monetary unit US Dollars

Conversion rate €0.89 = $1.00

The Full Analysis Features the Following Content

Section Slide Number

Executive Summary 4

Perspectives on the Global Big Data Market 11

Big Data in Medical Imaging Market 20

Big Data in Medical Imaging Market—Revenue Forecast 34

Market Opportunities in Medical Imaging Big Data Management—Breakdown 38

Market Opportunities in Medical Imaging Big Data Analytics—Breakdown 46

Competitive Playbook and Key Companies to Watch 64

The Last Word 93

Appendix 96

Key Questions This Study Will Answer

Source: Frost & Sullivan

What is the context in which the market opportunities for Big Data management and Big Data analytics are arising in medical imaging?

How does medical imaging data fall under the Big Data umbrella, and how does the Big Data concept fit in the medical imaging informatics ecosystem?

What type of growth can be expected in the application areas of clinical, operational, and financial medical imaging analytics over the short and the long term?

What types of strategies are various information technology and medical imaging vendors implementing in addressing Big Data market opportunities?

How are Big Data market opportunities in medical imaging defined across various segments and sub-segments?

Interested in Full Access? Connect With Us

Kayla Belcher Corporate Communications – North America

210.247.2450

kayla.belcher@frost.com

Research Authors

Daniel RupparGlobal Research

DirectorHealthcare

Nadim DaherPrincipal Analyst

Healthcare

Natasha GulatiIndustry Manager

Healthcare

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