PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527302
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527302
Global Commercial Pharmaceutical Analytics Market Size study, by Type, by Application, by Deployment, by Components and Regional Forecasts 2022-2032
Global Commercial Pharmaceutical Analytics Market is valued approximately at USD 16.43 Billion in 2023 and is anticipated to grow with a healthy growth rate of more than 19.04% over the forecast period 2024-2032. Commercial Pharmaceutical Analytics is the application of advanced data analysis techniques and technologies to support various business functions within the pharmaceutical industry. This field encompasses the collection, processing, and interpretation of complex data sets related to drug development, market trends, sales performance, and customer behavior. The goal is to provide actionable insights that can enhance decision-making, optimize operations, and drive strategic initiatives. Key applications include analyzing clinical trial data to improve drug efficacy and safety, forecasting market trends, evaluating the effectiveness of marketing strategies, and understanding patient demographics and treatment patterns. By leveraging technologies such as artificial intelligence, machine learning, and big data analytics, pharmaceutical companies can gain a competitive edge, streamline their processes, and make informed decisions that ultimately lead to better patient outcomes and improved business performance.
The Commercial Pharmaceutical Analytics Market is being propelled by the burgeoning use of advanced analytical technologies to streamline and enhance business processes within the pharmaceutical industry. The deployment of pharma data analytics plays a crucial role in improving drug discovery, optimizing clinical trials, and enhancing patient outcomes through data-driven insights. The pharmaceutical sector is experiencing a transformative phase driven by the adoption of cutting-edge technologies such as machine learning (ML), the Internet of Things (IoT), and Artificial Intelligence (AI). These innovations are enabling predictive analytics based on extensive market research, chemical composition, biological characteristics, and other variables, facilitating more efficient and cost-effective drug discovery processes. Companies like Moderna, Inc. have harnessed AI-based decision-making to accelerate the development of vaccines, notably during the COVID-19 pandemic. IoT connectivity further allows for remote monitoring and control of laboratory equipment, ensuring higher quality, compliance, and reliability in pharmaceutical manufacturing processes. Moreover, the increasing reliance on outsourcing commercial pharmaceutical analytics services by pharmaceutical and biopharmaceutical firms is significantly contributing to market growth. This trend is driven by the need to manage extensive customer bases effectively and to focus on core capabilities while leveraging analytics for improved decision-making in manufacturing and distribution.
The Commercial Pharmaceutical Analytics Market is segmented by type, application, deployment, and components. By type, the market includes descriptive, predictive, and prescriptive analytics, with prescriptive analytics leading in market share due to its capacity to recommend actions and optimize outcomes. In terms of application, the R&D segment is the largest revenue generator, utilizing data from diverse sources to expedite drug discovery and development. The on-premise deployment model dominates the market, favored by smaller organizations and those in regions with limited internet connectivity. The software segment is the largest in the components category, driven by the development and application of analytical software to streamline clinical and administrative processes.
Key regions considered for the Global Commercial Pharmaceutical Analytics Market study include North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. The North American market holds the largest share due to the high adoption of advanced pharmaceutical analytics technologies such as AI, ML, and data mining. Europe follows, driven by a well-established pharmaceutical industry and high adoption rates of cutting-edge analytic solutions. The Asia-Pacific region is expected to witness the fastest growth, attributed to expanding healthcare infrastructure, government initiatives, and increasing incidences of chronic illnesses.
Major market players included in this report are:
- IBM Watson Health
- SAS Institute Inc.
- Oracle Corporation
- Medidata Solutions, Inc.
- Veeva Systems Inc.
- Cerner Corporation
- Phlexglobal
- Clarity Pharmaceuticals
- HealthEC
- Nielsen Holdings plc
- Accenture plc
- QuintilesIMS (now IQVIA)
- Cognizant Technology Solutions
- MedeAnalytics
- Zebra Medical Vision
The detailed segments and sub-segment of the market are explained below:
By Type:
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
By Application:
- R&D
- Marketing & Sales
- Supply Chain Optimization
- Internal Reporting
By Deployment:
- On-Premise
- Web-Based/Cloud-Based
By Components:
- Software
- Services
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Years considered for the study are as follows:
- Historical year - 2022
- Base year - 2023
- Forecast period - 2024 to 2032
Key Takeaways:
- Market Estimates & Forecast for 10 years from 2022 to 2032.
- Annualized revenues and regional level analysis for each market segment.
- Detailed analysis of geographical landscape with Country level analysis of major regions.
- Competitive landscape with information on major players in the market.
- Analysis of key business strategies and recommendations on future market approach.
- Analysis of competitive structure of the market.
- Demand side and supply side analysis of the market.
Table of Contents
Chapter 1. Global Commercial Pharmaceutical Analytics Market Executive Summary
- 1.1. Global Commercial Pharmaceutical Analytics Market Size & Forecast (2022- 2032)
- 1.2. Regional Summary
- 1.3. Segmental Summary
- 1.3.1. By Type
- 1.3.2. By Application
- 1.3.3. By Deployment
- 1.3.4. By Components
- 1.4. Key Trends
- 1.5. Recession Impact
- 1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Commercial Pharmaceutical Analytics Market Definition and Research Assumptions
- 2.1. Research Objective
- 2.2. Market Definition
- 2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
- 2.3.3.1. Availability
- 2.3.3.2. Infrastructure
- 2.3.3.3. Regulatory Environment
- 2.3.3.4. Market Competition
- 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
- 2.3.4.1. Regulatory frameworks
- 2.3.4.2. Technological Advancements
- 2.3.4.3. Environmental Considerations
- 2.3.4.4. Consumer Awareness & Acceptance
- 2.4. Estimation Methodology
- 2.5. Years Considered for the Study
- 2.6. Currency Conversion Rates
Chapter 3. Global Commercial Pharmaceutical Analytics Market Dynamics
- 3.1. Market Drivers
- 3.1.1. Adoption of Cutting-Edge Technologies
- 3.1.2. Growing Demand for Data-Driven Insights
- 3.1.3. Expansion of Pharmaceutical Industry
- 3.2. Market Challenges
- 3.2.1. Regulatory Compliance
- 3.2.2. High Implementation Costs
- 3.3. Market Opportunities
- 3.3.1. Growth in Emerging Markets
- 3.3.2. Advancements in AI and ML
- 3.3.3. Increasing Outsourcing Activities
Chapter 4. Global Commercial Pharmaceutical Analytics Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
- 4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
- 4.3. Top investment opportunity
- 4.4. Top winning strategies
- 4.5. Disruptive Trends
- 4.6. Industry Expert Perspective
- 4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Commercial Pharmaceutical Analytics Market Size & Forecasts by Type 2022-2032
- 5.1. Segment Dashboard
- 5.2. Global Commercial Pharmaceutical Analytics Market: Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Descriptive Analytics
- 5.2.2. Predictive Analytics
- 5.2.3. Prescriptive Analytics
Chapter 6. Global Commercial Pharmaceutical Analytics Market Size & Forecasts by Application 2022-2032
- 6.1. Segment Dashboard
- 6.2. Global Commercial Pharmaceutical Analytics Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. R&D
- 6.2.2. Marketing & Sales
- 6.2.3. Supply Chain Optimization
- 6.2.4. Internal Reporting
Chapter 7. Global Commercial Pharmaceutical Analytics Market Size & Forecasts by Deployment 2022-2032
- 7.1. Segment Dashboard
- 7.2. Global Commercial Pharmaceutical Analytics Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. On-Premise
- 7.2.2. Web-Based/Cloud-Based
Chapter 8. Global Commercial Pharmaceutical Analytics Market Size & Forecasts by Components 2022-2032
- 8.1. Segment Dashboard
- 8.2. Global Commercial Pharmaceutical Analytics Market: Components Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. Software
- 8.2.2. Services
Chapter 9. Global Commercial Pharmaceutical Analytics Market Size & Forecasts by Region 2022-2032
- 9.1. North America Commercial Pharmaceutical Analytics Market
- 9.1.1. U.S. Commercial Pharmaceutical Analytics Market
- 9.1.1.1. Type breakdown size & forecasts, 2022-2032
- 9.1.1.2. Application breakdown size & forecasts, 2022-2032
- 9.1.1.3. Deployment breakdown size & forecasts, 2022-2032
- 9.1.1.4. Components breakdown size & forecasts, 2022-2032
- 9.1.2. Canada Commercial Pharmaceutical Analytics Market
- 9.1.3. Mexico Commercial Pharmaceutical Analytics Market
- 9.1.1. U.S. Commercial Pharmaceutical Analytics Market
- 9.2. Europe Commercial Pharmaceutical Analytics Market
- 9.2.1. U.K. Commercial Pharmaceutical Analytics Market
- 9.2.2. Germany Commercial Pharmaceutical Analytics Market
- 9.2.3. France Commercial Pharmaceutical Analytics Market
- 9.2.4. Spain Commercial Pharmaceutical Analytics Market
- 9.2.5. Italy Commercial Pharmaceutical Analytics Market
- 9.2.6. Rest of Europe Commercial Pharmaceutical Analytics Market
- 9.3. Asia-Pacific Commercial Pharmaceutical Analytics Market
- 9.3.1. China Commercial Pharmaceutical Analytics Market
- 9.3.2. India Commercial Pharmaceutical Analytics Market
- 9.3.3. Japan Commercial Pharmaceutical Analytics Market
- 9.3.4. Australia Commercial Pharmaceutical Analytics Market
- 9.3.5. South Korea Commercial Pharmaceutical Analytics Market
- 9.3.6. Rest of Asia Pacific Commercial Pharmaceutical Analytics Market
- 9.4. Latin America Commercial Pharmaceutical Analytics Market
- 9.4.1. Brazil Commercial Pharmaceutical Analytics Market
- 9.4.2. Mexico Commercial Pharmaceutical Analytics Market
- 9.4.3. Rest of Latin America Commercial Pharmaceutical Analytics Market
- 9.5. Middle East & Africa Commercial Pharmaceutical Analytics Market
- 9.5.1. Saudi Arabia Commercial Pharmaceutical Analytics Market
- 9.5.2. South Africa Commercial Pharmaceutical Analytics Market
- 9.5.3. Rest of Middle East & Africa Commercial Pharmaceutical Analytics Market
Chapter 10. Competitive Intelligence
- 10.1. Key Company SWOT Analysis
- 10.2. Top Market Strategies
- 10.3. Company Profiles
- 10.3.1. IBM Watson Health
- 10.3.1.1. Key Information
- 10.3.1.2. Overview
- 10.3.1.3. Financial (Subject to Data Availability)
- 10.3.1.4. Product Summary
- 10.3.1.5. Market Strategies
- 10.3.2. SAS Institute Inc.
- 10.3.3. Oracle Corporation
- 10.3.4. Medidata Solutions, Inc.
- 10.3.5. Veeva Systems Inc.
- 10.3.6. Cerner Corporation
- 10.3.7.Phlexglobal
- 10.3.8. Clarity Pharmaceuticals
- 10.3.9. HealthEC
- 10.3.10.Nielsen Holdings plc
- 10.3.11. Accenture plc
- 10.3.12. QuintilesIMS (now IQVIA)
- 10.3.13. Cognizant Technology Solutions
- 10.3.14. MedeAnalytics
- 10.3.15. Zebra Medical Vision
- 10.3.1. IBM Watson Health
Chapter 11. Research Process
- 11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
- 11.2. Research Attributes
