Global Predictive Disease Analytics Market Size, Trends & Growth Opportunity, By Component (Software & Services, Hardware), By Deployment (On-premise, Cloud-based), By End-use (Healthcare Payers, Healthcare Providers, Other) By Region and Forecast till 2030.
Global Predictive Disease Analytics Market
The global Predictive Disease Analytics market was valued at USD 2.8 billion in 2022 which expected to reach USD 10.2 billion by 2030 at a CAGR 17.02 % from 2023-2030.
Predictive analytics is a subset of advanced analytics that uses modelling, data mining, statistics, and artificial intelligence to make predictions and improve decision-making (AI). Big data and predictive analytics aid in the improvement of healthcare organization operational management, the accuracy of diagnosis and treatment in personal medicine, and increased insights to improve cohort treatment.
Market Drivers
The rise in government initiatives, as well as increased investment in the healthcare industry, are two key reasons for the increased adoption of predictive analytical tools in the healthcare sector. For example, in February 2023, the European Commission invested USD 7.2 million in a new project aimed at developing an AI-based platform for collecting and analyzing clinical data on new oncology medicines in order to support their evaluation by regulators and health technology assessment (HTA) agencies. 
Market challenges
The healthcare industry has faced challenges such as rising treatment costs, a lack of better patient care, and decreased patient retention and engagement. As a result, predictive disease analytics are being used across the industry to provide better patient care and improve operations. These are the primary drivers of the healthcare analytics industry's expansion. For example, Hartford HealthCare and Google Cloud announced a long-term partnership in November 2022 to improve their healthcare system's digital transformation in order to improve data analytics and patient care.
Impact of COVID-19 
These bioprocessing devices, which come in sizes ranging from a few millilitres to 5-10 L, are often utilised for small-scale Componention. Due to the unexpected spike in COVID-19 cases, the COVID-19 pandemic has seen an increase in demand. Due to various companies increasing their facilities to conduct research and development for COVID-19 vaccines, small-scale bioreactor sales dramatically rose in 2020 and 2021. Additionally, it is anticipated that during the forecast period, Component sales will expand as a result of global immunisation efforts and increased demand. 
Market Segmentation
The Global Predictive Disease Analytics Market is segmented into Component, Deployment, Distribution Channel and Growing System. By Component such as Software & Services, Hardware. By Deployment such as On-premise, Cloud-based. By End-use such as Healthcare Payers, Healthcare Providers, Other. 
Regional Analysis
Global Predictive Disease Analytics Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. During the forecast period, the Predictive Disease Analytics market in North America is expected to grow at the fastest CAGR. The region has the most advanced healthcare facilities, which increases platform adoption. The growing burden of chronic diseases, as well as the growing proportion of the geriatric population, have increased the demand for hospitals and other organisations to adopt analytics tools. The presence of major market participants has also contributed to the large share of revenue. Microsoft, based in the United States, will launch Microsoft Cloud for Healthcare in September 2020, which will be a collaboration between providers and patients that will aid in the delivery of better patient care insights.
Key Players
Various key players are listed in this report such as Oracle, IBM, SAS, Allscripts Healthcare Solutions Inc., MedeAnalytics, Inc., Health Catalyst, Apixio Inc.
Market Taxonomy
By Component
• Software & Services
• Hardware
By Deployment
• On-premise
• Cloud-based
By End-use
• Healthcare Payers
• Healthcare Providers
• Other
By Region
• North America
• Latin America
• Europe
• Asia Pacific
• Middle East & Africa
Key Questions Addressed by the Report
• What are the Key Opportunities in Global Predictive Disease Analytics Market?
• What will be the growth rate from 2023 to 2030?
• Which segment/region will have highest growth?
• What are the factors that will impact/drive the Market?
• What is the competitive Landscape in the Industry?
• What is the role of key players in the value chain?

Global Predictive Disease Analytics Market 
1 Introduction 
1.1 Objective of the Study
1.2 Market definition
1.3 Market Scope
2 Research Methodology
2.1 Data Mining
2.2 Validation
2.3 Primary Interviews
2.4 List of Data Sources
3 Executive Summary
4 Global Predictive Disease Analytics Market Outlook
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Cumulative Impact due to recent Energy Crisis
4.2.5 Cumulative Impact due to nearing economic downturn 
4.2.6 Post covid-19 world Supply& Demand conditions
4.2.7 Cumulative Impact of Russia-Ukraine Conflict
4.3 Porters Five Force Model
4.4 Value Chain Analysis
5 Global Predictive Disease Analytics Market, By Component
5.1 Y-o-Y Growth Comparison, By Component 
5.2 Global Predictive Disease Analytics Market Share Analysis, By Component 
5.3 Global Predictive Disease Analytics Market Size and Forecast, By Component
5.3.1 Software & Services
5.3.2 Hardware 
6 Global Predictive Disease Analytics Market, By Deployment
6.1 Y-o-Y Growth Comparison, By Deployment
6.2 Global Predictive Disease Analytics Market Share Analysis, By Deployment
6.3 Global Predictive Disease Analytics Market Size and Forecast, By Deployment
6.3.1 On-premise
6.3.2 Cloud-based
7 Global Predictive Disease Analytics Market, By End-use
7.1 Y-o-Y Growth Comparison, By End-use
7.2 Global Predictive Disease Analytics Market Share Analysis, By End-use
7.3 Global Predictive Disease Analytics Market Size and Forecast, By End-use
7.3.1 Healthcare Payers
7.3.2 Healthcare Providers
7.3.3 Others 
8 Global Predictive Disease Analytics Market, By Region
8.1 Global Predictive Disease Analytics Market Share Analysis, By Region
8.2 Global Predictive Disease Analytics Market Share Analysis, By Region
8.3 Global Predictive Disease Analytics Market Size and Forecast, By Region
9 North America Predictive Disease Analytics Market Analysis and Forecast (2023-2030)
9.1 Introduction
9.2 North America Predictive Disease Analytics Market Share Analysis, By Component
9.3 North America Predictive Disease Analytics Market Size and Forecast, By Deployment
9.4 North America Predictive Disease Analytics Market Size and Forecast, By End-use
9.6 North America Predictive Disease Analytics Market Size and Forecast, By Country
9.7.1 U.S.
9.7.2 Canada
9.7.3 Mexico
10 Europe Predictive Disease Analytics Market Analysis and Forecast (2023-2030)
10.1 Introduction
10.2 Europe Predictive Disease Analytics Market Share Analysis, By Component 
10.3 Europe Predictive Disease Analytics Market Size and Forecast, By Deployment 
10.4 Europe Predictive Disease Analytics Market Size and Forecast, By End-use
10.6 Europe Predictive Disease Analytics Market Size and Forecast, By Country
10.6.1 Germany
10.6.2 France
10.6.3 UK
10.6.4. Rest of Europe
11 Asia Pacific Predictive Disease Analytics Market Analysis and Forecast (2023-2030)
11.1 Introduction
11.2 Asia Pacific Predictive Disease Analytics Market Share Analysis, By Component 
11.3 Asia Pacific Predictive Disease Analytics Market Size and Forecast, By Deployment 
11.4 Asia Pacific Predictive Disease Analytics Market Size and Forecast, By End-use
11.6 Asia Pacific Predictive Disease Analytics Market Size and Forecast, By Country
11.6.1 China 
11.7.2 Japan
11.8.3 India
11.8.4. Rest of Asia Pacific
12 Latin America Predictive Disease Analytics Market Analysis and Forecast (2023-2030)
12.1 Introduction
12.2 Latin America Predictive Disease Analytics Market Share Analysis, By Component 
12.3 Latin America Predictive Disease Analytics Market Size and Forecast, By Deployment 
12.4 Latin America Predictive Disease Analytics Market Size and Forecast, By End-use
12.6 Latin America Predictive Disease Analytics Market Size and Forecast, Country
12.7.1. Brazil
12.8.2. Rest of Latin America
13 Middle East Predictive Disease Analytics Market Analysis and Forecast (2023-2030)
13.1 Introduction
13.2 Middle East Predictive Disease Analytics Market Share Analysis, By Component 
13.3 Middle East Predictive Disease Analytics Market Size and Forecast, By Deployment 
13.4 Middle East Predictive Disease Analytics Market Size and Forecast, By End-use
13.6 Middle East Predictive Disease Analytics Market Size and Forecast, By Country
13.7.1. Saudi Arabia
13.8.2. UAE
13.8.3. Egypt
13.9.4. Kuwait
13.10.5. South Africa
14 Competitive Analysis
14.1 Competition Dashboard
14.2 Market share Analysis of Top Vendors
14.3 Key Development Strategies
15 Company Profiles
15.1 Oracle
15.1.1 Overview
15.1.2 Components
15.1.3 Key Financials
15.1.4 Business Segment & Geographic Overview
15.1.5 Key Market Developments
15.1.6 Key Strategies
15.2. IBM
15.2.1 Overview
15.2.2 Components
15.2.3 Key Financials
15.2.4 Business Segment & Geographic Overview
15.2.5 Key Market Developments
15.2.6 Key Strategies
15.3. SAS
15.3.1 Overview
15.3.2 Components
15.3.3 Key Financials
15.3.4 Business Segment & Geographic Overview
15.3.5 Key Market Developments
15.3.6 Key Strategies
15.4 Allscripts Healthcare Solutions Inc.
15.4.1 Overview
15.4.2 Components
15.4.3 Key Financials
15.4.4 Business Segment & Geographic Overview
15.4.5 Key Market Developments
15.4.6 Key Strategies
15.5 MedeAnalytics, Inc.
15.5.1 Overview
15.5.2 Components
15.5.3 Key Financials
15.5.4 Business Segment & Geographic Overview
15.5.5 Key Market Developments
15.5.6 Key Strategies
15.6 Health Catalyst
15.6.1 Overview
15.6.2 Components
15.6.3 Key Financials
15.6.4 Business Segment & Geographic Overview
15.6.5 Key Market Developments
15.6.6 Key Strategies
15.7 Apixio Inc.
15.7.1 Overview
15.7.2 Components
15.7.3 Key Financials
15.7.4 Business Segment & Geographic Overview
15.7.5 Key Market Developments
15.7.6 Key Strategies