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Published Date: 2016-11-11Number of Pages: 234

IT Spending on Clinical Analytics Market (Platform - Stand-alone, Integrated; End User - Payer (Insurance Companies and Government) and Provider (Hospital and Clinics); Solution - In-house (Hardware, Software, and Services), and Outsource; Deployment - Cloud-based and On-premise) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2016 - 2024

IT Spending on Clinical Analytics: Global Snapshot

Over the past few decades, there has been a significant transition in the healthcare industry. It has witnessed tremendous growth due to the high demand of value-based care for population health in all parts of the globe and has transformed from a manually-operated sector to a digitally managed one. This synchronization of digital and physical worlds has started generating mammoth volumes of patient data, proper analysis of which can lead to bountiful benefits such as reduction in the numbers of patient readmission in hospitals and improved clinical outcomes, to name a few. Vast improvements in financial and clinical decision support management are also made possible by critical analysis of data generated by healthcare systems.

A greater understanding of these factors, coupled with the rising adoption of digital data management tools in healthcare settings is leading to a vast rise in expenditure on clinical analytics systems and solutions. Transparency Market Research (TMR) estimates that the global IT spending on clinical analytics will rise manifolds in the years to come. According to this report by TMR, IT spending on clinical analytics across the globe valued at US$11,650 mn in 2015. Expanding at a remarkable 12.3% CAGR over the period between 2016 and 2024, this is projected to reach US$32,422 mn by 2024.

it spending on clinical analytics market

Integrated Systems to Dominate Thanks to Flexibility and Capability to Sync with Other Systems

In the report, the IT spending on clinical analytics is segmented on the basis of platform into stand-alone and integrated. Of these, the segment of integrated clinical analytics solutions acquired the dominant chunk of revenues of the global market in 2015 and is expected to maintain dominance over the forecast period as well.

The integrated clinical analytics segment is also expected to exhibit a higher CAGR of 13.1% compared to the segment of stand-alone clinical analytics solutions, which is expected to expand at an 11.0% CAGR, over the period between 2016 and 2024. Of the overall global spending on clinical analytics solutions, spending on integrated solutions is expected to account for a 63% of the global market by 2024.

Integrated clinical analytics solutions observe higher demand owing to their highly dynamic nature and ability to extract data from clinical documents synched with the system, such as (electronic health records) EHR, utilizing the data to generate key insights. The relatively lower level of competency of stand-alone systems in terms of ability to integrate well with other data processing or managing systems will lead to their relatively lower adoption on a global front.

Digitization of Healthcare Infrastructure to Keep North America Ahead in Clinical Analytics Spending

In terms of geography, the market is dominated by North America and the region will continue to constitute the bulk of share in the global market by the end of the forecast period as well. The region leads in terms of IT spending on clinical analytics owing chiefly to the technologically advanced healthcare infrastructure, favorable government policies, and increased incentives. The IT spending on clinical analytics in North America is estimated to be valued at US$5,349 mn by the end of 2016 and is expected to expand at a CAGR of 10.8% to reach US$12,110 mn by 2024.

However, North America is expected to lose to Asia Pacific in terms of rate of growth over the forecast period; IT spending on clinical analytics in Asia Pacific is expected to expand at a remarkable 16.9% by 2024. The region will see the adoption of clinical analytics at such a rapid pace owing to vast technological advancements, enhancement and rapid digitization of healthcare infrastructure, and increased adoption big data and analytics in healthcare. Japan is a highly attractive market in the region, followed by China and India. Other APAC countries are also expected to emerge as highly promising markets for clinical analytics in the next few years owing to similar factors.

Some of the key players in clinical analytics are McKesson Corporation, Cerner Corporation, IBM Corporation, Optum, Inc., Allscripts Healthcare Solutions, Inc., Oracle Financial Services Software Limited, CareCloud Corporation, Medical Information Technology, Inc., Hewlett-Packard Enterprise Development LP and ArborMetrix, Inc.

1. Preface
     1.1. Market Definition and Scope
     1.2. Market Segmentation
     1.3. Key Research Objectives
     1.4. Research Highlights

2. Assumptions and Research Methodology

3. Executive Summary : Global IT Spending on Clinical Analytics

4. Market Overview
     4.1. Introduction
            4.1.1. Platform Definition
            4.1.2. Industry Evolution / Developments
     4.2.  Overview
     4.3. Key Market Indicators
     4.4. Key Industry Developments
     4.5. Market Opportunity Map
     4.6. Market Dynamics
            4.6.1. Drivers
            4.6.2. Restraints
            4.6.3. Opportunity
     4.7. Global IT Spending on Clinical Analytics Analysis and Forecasts, 2016–2024
            4.7.1. Market Revenue Projections (US$ Mn)
     4.8. Porter’s Five Force Analysis
     4.9. Clinical Analytics Process Workflow
     4.10. Market Outlook

5. Global IT Spending on Clinical Analytics Analysis and Forecasts, By Platform 
     5.1. Introduction & Definition
     5.2. Key Findings / Developments     
     5.3. Key Trends
     5.4. Market Value Forecast By Platform, 2016–2024
            5.4.1. Stand-alone
            5.4.2. Integrated
     5.5. Platform Comparison Matrix
     5.6. Market Attractiveness By Platform 

6. Global IT Spending on Clinical Analytics Analysis and Forecasts, By End User 
     6.1. Introduction & Definition
     6.2. Key Findings / Developments
     6.3. Key Trends
     6.4. Market Value Forecast By End User, 2016–2024
            6.4.1. Payer
                      6.4.1.1. Insurance Companies
                      6.4.1.2. Government
                      6.4.1.3. Others
            6.4.2. Provider
                      6.4.2.1. Hospitals
                      6.4.2.2. Clinics
     6.5. End User Comparison Matrix
     6.6. Market Attractiveness By End User 

7. Global IT Spending on Clinical Analytics Analysis and Forecasts, By Solution 
     7.1. Introduction & Definition
     7.2. Key Findings / Developments
     7.3. Key Trends
     7.4. Market Value Forecast By Solution, 2016–2024
            7.4.1. In-House
                      7.4.1.1. Hardware
                      7.4.1.2. Software
                      7.4.1.3. Services
            7.4.2. Outsource
     7.5. Solution Comparison Matrix
     7.6. Market Attractiveness By Solution 

8. Global IT Spending on Clinical Analytics Analysis and Forecasts, By Deployment 
     8.1. Introduction & Definition
     8.2. Key Findings / Developments
     8.3. Key Trends
     8.4. Market Value Forecast By Deployment, 2016–2024
            8.4.1. Cloud-based
            8.4.2. On-premise
     8.5. Deployment Comparison Matrix
     8.6. Market Attractiveness By Deployment 

9. Global IT Spending on Clinical Analytics Analysis and Forecasts, By Region
     9.1. Key Findings
     9.2. Policies and Regulations
     9.3. Market Value Forecast By Region
            9.3.1. North America 
            9.3.2. Europe 
            9.3.3. Asia Pacific 
            9.3.4. Latin America 
            9.3.5. Middle East and Africa 
     9.4. Market Attractiveness By Country/Region

10. North America IT Spending on Clinical Analytics Analysis and Forecast
     10.1.Introduction
            10.1.1. Key Findings
            10.1.2. Policies and Regulations
            10.1.3. Price Trend Analysis
            10.1.4. Key Trends
     10.2. Market Value Forecast By Platform, 2016–2024
            10.2.1. Stand-alone
            10.2.2. Integrated
     10.3. Market Value Forecast By End User, 2016–2024
            10.3.1. Payer
                      10.3.1.1. Insurance Companies
                      10.3.1.2. Government
                      10.3.1.3. Others
            10.3.2. Provider
                      10.3.2.1. Hospitals
                      10.3.2.2. Clinics
     10.4. Market Value Forecast By Solution, 2016–2024
            10.4.1. In-House
                      10.4.1.1. Hardware
                      10.4.1.2. Software
                      10.4.1.3. Services
            10.4.2. Outsource
     10.5. Market Value Forecast By Deployment, 2016–2024
            10.5.1. Cloud-based
            10.5.2. On-premise
     10.6. Market Value Forecast By Country, 2016–2024
            10.6.1. U.S.
            10.6.2. Canada
     10.7. Market Attractiveness Analysis 
            10.7.1. By Platform 
            10.7.2. By End User 
            10.7.3. By Solution 
            10.7.4. By Deployment 
            10.7.5. By Country

11. Europe IT Spending on Clinical Analytics Analysis and Forecast
     11.1. Introduction
            11.1.1. Key Findings
            11.1.2. Policies and Regulations
            11.1.3. Price Trend Analysis
            11.1.4. Key Trends
     11.2. Market Value Forecast By Platform, 2016–2024
            11.2.1. Stand-alone
            11.2.2. Integrated
     11.3. Market Value Forecast By End User, 2016–2024
            11.3.1. Payer
                      11.3.1.1. Insurance Companies
                      11.3.1.2. Government
                      11.3.1.3. Others
            11.3.2. Provider
                      11.3.2.1. Hospitals
                      11.3.2.2. Clinics
     11.4. Market Value Forecast By Solution, 2016–2024
            11.4.1. In-House
                      11.4.1.1. Hardware
                      11.4.1.2. Software
                      11.4.1.3. Services
            11.4.2. Outsource
     11.5. Market Value Forecast By Deployment, 2016–2024
            11.5.1. Cloud-based
            11.5.2. On-premise
     11.6. Market Value Forecast By Country, 2016–2024
            11.6.1. Germany
            11.6.2. U.K.
            11.6.3. France
            11.6.4. Italy
            11.6.5. Spain
            11.6.6. Rest of Europe
     11.7. Market Attractiveness Analysis 
            11.7.1. By Platform 
            11.7.2. By End User 
            11.7.3. By Solution 
            11.7.4. By Deployment 
            11.7.5. By Country

12. Asia Pacific IT Spending on Clinical Analytics Analysis and Forecast
     12.1. Introduction
            12.1.1. Key Findings
            12.1.2. Policies and Regulations
            12.1.3. Price Trend Analysis
            12.1.4. Key Trends
     12.2. Market Value Forecast By Platform, 2016–2024
            12.2.1. Stand-alone
            12.2.2. Integrated
     12.3. Market Value Forecast By End User, 2016–2024
            12.3.1. Payer
                      12.3.1.1. Insurance Companies
                      12.3.1.2. Government
                      12.3.1.3. Others
            12.3.2. Provider
                      12.3.2.1. Hospitals
                      12.3.2.2. Clinics
     12.4. Market Value Forecast By Solution, 2016–2024
            12.4.1. In-House
                      12.4.1.1. Hardware
                      12.4.1.2. Software
                      12.4.1.3. Services
            12.4.2. Outsource
     12.5. Market Value Forecast By Deployment, 2016–2024
            12.5.1. Cloud-based
            12.5.2. On-premise
     12.6. Market Value Forecast By Country, 2016–2024
            12.6.1. China
            12.6.2. Japan
            12.6.3. India
            12.6.4. Australia
            12.6.5. New Zealand
            12.6.6. Rest of Asia Pacific
     12.7. Market Attractiveness Analysis 
            12.7.1. By Platform 
            12.7.2. By End User 
            12.7.3. By Solution 
            12.7.4. By Deployment 
            12.7.5. By Country

13. Latin America IT Spending on Clinical Analytics Analysis and Forecast
     13.1. Introduction
            13.1.1. Key Findings
            13.1.2. Policies and Regulations
            13.1.3. Price Trend Analysis
            13.1.4. Key Trends
     13.2. Market Value Forecast By Platform, 2016–2024
            13.2.1. Stand-alone
            13.2.2. Integrated
     13.3. Market Value Forecast By End User, 2016–2024
            13.3.1. Payer
                      13.3.1.1. Insurance Companies
                      13.3.1.2. Government
                      13.3.1.3. Others
            13.3.2. Provider
                      13.3.2.1. Hospitals
                      13.3.2.2. Clinics
     13.4. Market Value Forecast By Solution, 2016–2024
            13.4.1. In-House
                      13.4.1.1. Hardware
                      13.4.1.2. Software
                      13.4.1.3. Services
            13.4.2. Outsource
     13.5. Market Value Forecast By Deployment, 2016–2024
            13.5.1. Cloud-based
            13.5.2. On-premise
     13.6. Market Value Forecast By Country, 2016–2024
            13.6.1. Brazil
            13.6.2. Mexico
            13.6.3. Rest of Latin America
     13.7. Market Attractiveness Analysis 
            13.7.1. By Platform 
            13.7.2. By End User 
            13.7.3. By Solution 
            13.7.4. By Deployment 
            13.7.5. By Country

14. Middle East and Africa IT Spending on Clinical Analytics Analysis and Forecast
     14.1. Introduction
            14.1.1. Key Findings
            14.1.2. Policies and Regulations
            14.1.3. Price Trend Analysis
            14.1.4. Key Trends
     14.2. Market Value Forecast By Platform, 2016–2024
            14.2.1. Stand-alone
            14.2.2. Integrated
     14.3. Market Value Forecast By End User, 2016–2024
            14.3.1. Payer
                      14.3.1.1. Insurance Companies
                      14.3.1.2. Government
                      14.3.1.3. Others
            14.3.2. Provider
                      14.3.2.1. Hospitals
                      14.3.2.2. Clinics
     14.4. Market Value Forecast By Solution, 2016–2024
            14.4.1. In-House
                      14.4.1.1. Hardware
                      14.4.1.2. Software
                      14.4.1.3. Services
            14.4.2. Outsource
     14.5. Market Value Forecast By Deployment, 2016–2024
            14.5.1. Cloud-based
            14.5.2. On-premise
     14.6. Market Value Forecast By Country, 2016–2024
            14.6.1. Saudi Arabia
            14.6.2. U.A.E
            14.6.3. South Africa
            14.6.4. Rest of Middle East and Africa
     14.7. Market Attractiveness Analysis 
            14.7.1. By Platform 
            14.7.2. By End User 
            14.7.3. By Solution 
            14.7.4. By Deployment 
            14.7.5. By Country

15. Competition Landscape
     15.1. Major Licenses and Contracts
     15.2. Market Player – Competition Matrix (By Tier and Size of companies)
     15.3. Company Profiles (Details – Overview, Financials, Recent Developments, Strategy)
            15.3.1. McKesson Corporation
                      15.3.1.1. Company Overview
                      15.3.1.2. Financials
                      15.3.1.3. SWOT Analysis
                      15.3.1.4. Strategic Overview
            15.3.2. Cerner Corporation
                      15.3.2.1. Company Overview
                      15.3.2.2. Financials
                      15.3.2.3. SWOT Analysis
                      15.3.2.4. Strategic Overview
            15.3.3. IBM Corporation
                      15.3.3.1. Company Overview
                      15.3.3.2. Financials
                      15.3.3.3. SWOT Analysis
                      15.3.3.4. Strategic Overview
            15.3.4. Optum, Inc.
                      15.3.4.1. Company Overview
                      15.3.4.2. Financials
                      15.3.4.3. SWOT Analysis
                      15.3.4.4. Strategic Overview
            15.3.5. Allscripts Healthcare Solutions, Inc.
                      15.3.5.1. Company Overview
                      15.3.5.2. Financials
                      15.3.5.3. SWOT Analysis
                      15.3.5.4. Strategic Overview
            15.3.6. Oracle Financial Services Software Limited
                      15.3.6.1. Company Overview
                      15.3.6.2. Financials
                      15.3.6.3. SWOT Analysis
                      15.3.6.4. Strategic Overview
            15.3.7. Medical Information Technology, Inc.
                      15.3.7.1. Company Overview
                      15.3.7.2. Financials
                      15.3.7.3. SWOT Analysis
                      15.3.7.4. Strategic Overview
            15.3.8. Hewlett-Packard Enterprise Development LP
                      15.3.8.1. Company Overview
                      15.3.8.2. Financials
                      15.3.8.3. SWOT Analysis
                      15.3.8.4. Strategic Overview
            15.3.9. Arbormetrix, Inc.
                      15.3.9.1. Company Overview
                      15.3.9.2. Financials
                      15.3.9.3. SWOT Analysis
                      15.3.9.4. Strategic Overview
            15.3.10. CareCloud Corporation
                      15.3.10.1. Company Overview
                      15.3.10.2. Financials
                      15.3.10.3. SWOT Analysis
                      15.3.10.4. Strategic Overview

List of Figures

Figure 01: IT Spending On Clinical Analytics Globally, (US$ Mn) Forecast, 2016–2024
Figure 02: IT Spending On Clinical Analytics Globally, Absolute $ Opportunity (US$ Mn), 2016?2024
Figure 03: Global IT Spending on Clinical Analytics Value Share Analysis: by Platform, 2016 and 2024
Figure 04: Global IT Spending on Stand-Alone Clinical Analytics Platform Value (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 05: Global IT Spending on Integrated Clinical Analytics Platform Value (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 06: Global IT Spending on Clinical Analytics Attractiveness Analysis: by Platform
Figure 07: Global IT Spending on Clinical Analytics Value Share Analysis: by End User, 2016 and 2024
Figure 08: Global IT Spending on Payer (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 09: Global IT Spending on Provider (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 10: Global IT Spending on Clinical Analytics Attractiveness Analysis: by End User
Figure 11: Global IT Spending on Insurance Companies (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 12: Global IT Spending on Government (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 13: Global IT Spending on  Others (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 14: Global IT Spending on Clinical Analytics Attractiveness Analysis: by End User (Payer)
Figure 15: Global IT Spending on Hospitals (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 16: Global IT Spending on Clinics (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 17: Global IT Spending on Clinical Analytics Attractiveness Analysis: by End Users (Provider) 
Figure 18: Global IT Spending on Clinical Analytics Value Share Analysis: by Solution, 2016 and 2024
Figure 19: Global IT Spending on In-House (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 20: Global IT Spending on Outsource (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 21: Global IT Spending on Clinical Analytics Attractiveness Analysis: by Solution
Figure 22: Global IT Spending on Hardware (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 23: Global IT Spending on Software (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 24: Global IT Spending on Services (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 25: Global IT Spending on Clinical Analytics Attractiveness Analysis: by Solution (In-House)
Figure 26: Global IT Spending on Clinical Analytics Value Share Analysis: by Deployment, 2016 and 2024
Figure 27: Global IT Spending on cloud-based (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 28: Global IT Spending on on-premise (US$ Mn) and Y-o-Y Growth (%), 2016–2024
Figure 29: Global IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment
Figure 30: Global IT Spending on Clinical Analytics Value Share Analysis: by Region, 2016 and 2024
Figure 31: Global IT Spending on Clinical Analytics Attractiveness Analysis: by Region
Figure 32: North America IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 33: North America IT Spending on Clinical Analytics & Y-o-Y Growth Projections, 2016-2024
Figure 34: North America IT Spending on Clinical Analytics Attractiveness Analysis: by Country
Figure 35: North America IT Spending on Clinical Analytics Value Share Analysis:  by Platform, 2016 and 2024
Figure 36: North America IT Spending on Clinical Analytics Value Share Analysis: by End User, 2016 and 2024
Figure 37: North America IT Spending on Clinical Analytics Value Share Analysis:  by Solution, 2016 and 2024
Figure 38: North America IT Spending on Clinical Analytics Value Share Analysis:  by Deployment, 2016 and 2024
Figure 39: North America IT Spending on Clinical Analytics Value Share Analysis: by Country, 2016 and 2024
Figure 40: U.S. IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 41: U.S. IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 42: Canada IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 43: Canada IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 44: North America IT Spending on Clinical Analytics Attractiveness Analysis: by Platform, 2016–2024
Figure 45: North America IT Spending on Clinical Analytics Attractiveness Analysis: by Solution, 2016–2024
Figure 46: North America IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment, 2016–2024
Figure 47: North America IT Spending on Clinical Analytics Attractiveness Analysis: By End user, 2016-2024
Figure 48: Europe IT Spending on Clinical Analytics (US$ Mn)  Forecast, 2016-2024
Figure 49: Europe IT Spending on Clinical Analytics Y-o-Y Growth Projections, 2016-2024
Figure 50: Europe IT Spending on Clinical Analytics Attractiveness Analysis: by Country
Figure 51: Europe IT Spending on Clinical Analytics Value Share Analysis: by Platform, 2016 and 2024
Figure 52: Europe IT Spending on Clinical Analytics Value Share Analysis: by End User, 2016 and 2024
Figure 53: Europe IT Spending on Clinical Analytics Value Share Analysis: by Solution, 2016 and 2024
Figure 54: Europe IT Spending on Clinical Analytics Value Share Analysis: by Deployment, 2016 and 2024
Figure 55: Europe IT Spending on Clinical Analytics Value Share Analysis: by Country, 2016 and 2024
Figure 56: Germany IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 57: Germany IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 58: U.K. IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 59: U.K. IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 60: France IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 61: France IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 62: Italy IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 63: Italy IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 64: Spain IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 65: Spain IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 66: Rest of Europe IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 67: Rest of Europe IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 68: Europe IT Spending on Clinical Analytics Attractiveness Analysis: by Platform, 2016–2024
Figure 69: Europe IT Spending on Clinical Analytics Attractiveness Analysis: by Solution, 2016–2024
Figure 70: Europe IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment, 2016–2024
Figure 71: Europe IT Spending on Clinical Analytics Attractiveness Analysis: by end user, 2016–2024
Figure 72: IT Spending on Clinical Analytics in Asia Pacific (US$ Mn) Forecast, 2016-2024
Figure 73: IT Spending on Clinical Analytics in Asia Pacific and Y-o-Y Growth Projections, 2016-2024
Figure 74: IT Spending on Clinical Analytics in Asia Pacific Attractiveness Analysis: by Country, 2016-2024
Figure 75: Asia Pacific IT Spending on Clinical Analytics Value Share Analysis: by Platform, 2016 and 2024
Figure 76: Asia Pacific IT Spending on Clinical Analytics Value Share Analysis: by End User, 2016 and 2024
Figure 77: Asia Pacific IT Spending on Clinical Analytics Value Share Analysis: by Solution, 2016 and 2024
Figure 78: Asia Pacific IT Spending on Clinical Analytics Value Share Analysis: by Deployment, 2016 and 2024
Figure 79: Asia Pacific IT Spending on Clinical Analytics Value Share Analysis: by Country, 2016 and 2024
Figure 80: China IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 81: China IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 82: Japan IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016-2024
Figure 83: Japan IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 84: India IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 85: India IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn),  2016-2024
Figure 86: Australia IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 87: Australia IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn),  2016-2024
Figure 88: New Zealand IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 89: New Zealand IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 90: Rest of APAC IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 91: Rest of APAC IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 92: Asia Pacific IT Spending on Clinical Analytics Attractiveness Analysis: by Platform, 2016–2024
Figure 93: Asia Pacific IT Spending on Clinical Analytics Attractiveness Analysis: by Solution, 2016–2024
Figure 94: Asia Pacific IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment, 2016–2024
Figure 95: Asia Pacific IT Spending on Clinical Analytics Attractiveness Analysis: by end user, 2016–2024
Figure 96: Latin America IT Spending on Clinical Analytics (US$ Mn) Forecast, 2016–2024
Figure 97: Latin America IT Spending on Clinical Analytics & Y-o-Y Growth Projections, 2016–2024
Figure 98: Latin America Market Attractiveness Analysis: by Country
Figure 99: Latin America IT Spending on Clinical Analytics Value Share Analysis: by Platform, 2016 and 2024
Figure 100: Latin America IT Spending on Clinical Analytics Value Share Analysis: by Solution, 2016 and 2024
Figure 101: Latin America IT Spending on Clinical Analytics Value Share Analysis: by End User, 2016 and 2024
Figure 102: Latin America IT Spending on Clinical Analytics Value Share Analysis: by Deployment, 2016 and 2024
Figure 103: Latin America Market Value Share Analysis: by Country, 2016 and 2024
Figure 104: Brazil IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 105: Brazil IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 106: Mexico IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 107: Mexico IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 108: Rest of LATAM IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 109: Rest of LATAM IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 110: Latin America IT Spending on Clinical Analytics Attractiveness Analysis:by Platform, 2016–2024
Figure 111: Latin America IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment, 2016–2024
Figure 112: Latin America IT Spending on Clinical Analytics Attractiveness Analysis: by Solution, 2016–2024
Figure 113: Latin America IT Spending on Clinical Analytics Attractiveness Analysis: by end user, 2016–2024
Figure 114: MEA Clinical Analytics Market Size (US$ Mn) and Volume (Units) Forecast, 2016–2024
Figure 115: MEA Clinical Analytics Market Size and Y-o-Y Growth Projections, 2016–2024
Figure 116: MEA Clinical Analytics Market Attractiveness Analysis: by Country
Figure 117: Middle East and Africa IT Spending on Clinical Analytics Value Share Analysis: by Product,2016 and 2024
Figure 118: Middle East and Africa IT Spending on Clinical Analytics Value Share Analysis: by Solution,2016 and 2024
Figure 119: Middle East and Africa IT Spending on Clinical Analytics Value Share Analysis: by End User,2016 and 2024
Figure 120: Middle East and Africa IT Spending on Clinical Analytics Value Share Analysis: by Deployment, 2016 and 2024
Figure 121: Middle East and Africa Market Value Share Analysis: by Country, 2016 and 2024
Figure 122: Saudi Arabia IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 123: Saudi Arabia IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 124: UAE IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 125: UAE IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 126: RSA IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 127: RSA IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn), 2016-2024
Figure 128: Rest of MEA IT Spending on Clinical Analytics Size (US$ Mn) Forecast, 2016-2024
Figure 129: Rest of MEA IT Spending on Clinical Analytics Absolute $ Opportunity (US$ Mn),  2016-2024
Figure 130: MEA IT Spending on Clinical Analytics Attractiveness Analysis: by Platform, 2016–2024
Figure 131: MEA IT Spending on Clinical Analytics Attractiveness Analysis: by Solution, 2016–2024
Figure 132: MEA IT Spending on Clinical Analytics Attractiveness Analysis: by Deployment, 2016–2024
Figure 133: MEA IT Spending on Clinical Analytics Attractiveness Analysis: by end user, 2016–2024

List of Tables

Table 01: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by Platform, 2016–2024
Table 02: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User, 2016–2024
Table 03: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Payer), 2016–2024
Table 04: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Provider), 2016–2024
Table 05: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by Solution, 2016–2024
Table 06: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by Solution, 2016–2024
Table 07: Global IT Spending on Clinical Analytics (US$ Mn) Forecast: by Deployment, 2016–2024
Table 08: Global IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Region, 2016-2024
Table 09: North America IT Spending on Clinical Analytics (US$ Mn) Forecast: by Platform, 2016-2024
Table 10: North America IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User, 2016–2024
Table 11: North America IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Payer), 2016–2024
Table 12: North America IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Provider), 2016–2024
Table 13: North America IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016-2024
Table 14: North America IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016-2024
Table 15: North America IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Deployment, 2016-2024
Table 16: North America IT Spending on Clinical Analytics (US$ Mn) Forecast: by Country, 2016-2024
Table 17: Europe IT Spending on Clinical Analytics (US$ Mn) Forecast: by Platform, 2016-2024
Table 18: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User, 2016–2024
Table 19: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User (Payer), 2016–2024
Table 20: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User (Provider), 2016–2024
Table 21: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016–2024
Table 22: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution (In-House), 2016–2024
Table 23: Europe IT Spending on Clinical Analytics (US$ Mn) Forecast: by Deployment, 2016–2024
Table 24: Europe IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Country, 2016-2024
Table 25: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by Platform, 2016-2024
Table 26: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User, 2016–2024
Table 27: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Payer), 2016–2024
Table 28: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Provider), 2016–2024
Table 29: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by Solution, 2016–2024
Table 30: Asia Pacific IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016–2024
Table 31: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by Deployment, 2016–2024
Table 32: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by Country, 2016-2024
Table 33: Latin America IT Spending on Clinical Analytics (US$ Mn)  Forecast: by Platform, 2016-2024
Table 34: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by Solution, 2016–2024
Table 35: Latin America IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016–2024
Table 36: Asia Pacific IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User, 2016–2024
Table 37: Asia Pacific IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User, 2016–2024
Table 38: Asia Pacific IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User, 2016–2024
Table 39: Latin America IT Spending on Clinical Analytics (US$ Mn) Forecast: by deployment, 2016–2024
Table 40: Latin America IT Spending on Clinical Analytics Size (US$ Mn) by Country, 2016–2024
Table 41: Middle East and Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by Platform, 2016-2024
Table 42: Middle East and Africa IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by Solution, 2016–2024
Table 43: Middle East and Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by Solution (In-House), 2016–2024
Table 44: Middle East and Africa IT Spending on Clinical Analytics Size (US$ Mn) Forecast: by End User, 2016–2024
Table 45: Middle East and Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Payer), 2016–2024
Table 46: Middle East and Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by End User (Provider), 2016–2024
Table 47: Middle East and Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by Deployment, 2016–2024
Table 48: Middle East & Africa IT Spending on Clinical Analytics (US$ Mn) Forecast: by Country, 2016–2024

Global IT Spending on Clinical Analytics Market: Scope of the Report

This report provides forecast and analysis of the IT Spending on Clinical Analytics on the global and regional levels. It provides historical data of 2015 along with forecast from 2016 to 2024 in terms of revenue (US$ Bn). The report also includes macroeconomic indicators along with an outlook for clinical analytics revenue annually. It includes drivers and restraints of clinical analytics and their impact on each region during the forecast period. The report also comprises the study of applications and opportunities for clinical analytics solutions and services vendors. It also includes detailed analysis by platform, deployment, solution, end users and the workflow process.

In order to provide users of this report with a comprehensive view of the clinical analytics landscape, we have included a detailed competitiveness analysis and company players with unique propositions. The dashboard provides a detailed comparison of clinical analytics solution & services vendors on parameters such as revenue sales, ranking of global players, strategic consolidations, i.e. mergers & acquisitions, licensing activities, and R&D activities. The study encompasses market attractiveness analysis, by platform, solution, deployment, end-user and region.

The report includes the revenue generated from sales of clinical analytics solutions in all regions and important countries in these regions.

IT Spending on Clinical Analytics Market: Segmentation

By platform, the IT spending on clinical analytics has been segmented into stand-alone and integrated platforms. By solution, the IT spending on clinical analytics is segmented into in-house and outsource, we have three sub-segments for in-house solutions which are hardware, software, and services. On the basis of deployment, the IT spending on clinical analytics is segmented into cloud-based and on-premise. While the end-user segment is segmented into payers and providers, the report lays its emphasis into insurance companies, government, and others for payers while it covers the hospitals and clinics sub-segments for providers. Furthermore, the regional segment is sub-segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East & Africa.

IT Spending on Clinical Analytics Market: Research Methodology

Market numbers have been estimated based on the annual global and regional sales of key companies and local players, and the revenue is derived from regional pricing trends. IT spending and forecasts for each segment have been provided in the context of global and regional markets. The IT spending on clinical analytics has been analyzed based on expected demand. Prices considered for the calculation of revenue are regional average prices obtained through primary quotes from numerous regional clinical analytics solutions vendors, suppliers, and system integrators. All key end users have been considered, and potential applications have been estimated on the basis of secondary sources and feedback from primary respondents. Regional demand patterns have been considered while estimating the spending on various solutions marketed in different regions. Top-down approach has been used to estimate the IT spending on clinical analytics by regions. Market numbers for platforms, deployment, solution, end-user and regional segments have been derived using the bottom-up approach, which is cumulative of each region’s demand. The company-level market share has been derived on the basis of revenues reported by key vendors. The market has been forecast based on constant currency rates. 

A number of primary and secondary sources were consulted during the course of the study. Secondary sources include Factiva, World Bank, NCBI, Springer Journals, Google Books, society publications, HIMSS, and company annual reports and publications.

IT Spending on Clinical Analytics Market: Competitive Dynamics

The report provides detailed competitive and company profiles of some of the key participants operating in the global market. Key players in clinical analytics include McKesson Corporation, Cerner Corporation, IBM Corporation, Optum, Inc., Allscripts Healthcare Solutions, Inc., Oracle Financial Services Software Limited, CareCloud Corporation, Medical Information Technology, Inc., Hewlett-Packard Enterprise Development LP and ArborMetrix, Inc.

The market has been segmented as below:

IT Spending on Clinical Analytics – By Platform

  • Stand-Alone
  • Integrated

IT Spending on Clinical Analytics – By End User

  • Payer
    • Insurance Companies
    • Government
    • Other
  • Provider
    • Hospitals
    • Clinics

IT Spending on Clinical Analytics – By Solution

  • In-House
    • Hardware
    • Software
    • Services
  • Outsource

IT Spending on Clinical Analytics – By Deployment

  • Cloud-Based
  • On-Premise

IT Spending on Clinical Analytics – By Region

  • North America
    • U.S.
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Europe
    • Germany
    • UK
    • Italy
    • Spain
    • France
    • Rest of Europe
  • Asia Pacific (APAC)
    • China
    • India
    • Japan
    • Australia
    • New Zealand
    • Rest of Asia Pacific
  • Middle East and Africa (MEA)
    • Saudi Arabia
    • UAE
    • RSA
    • Rest of MEA


 
 
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