Clinical Trials Matching Software Market Research Report by End-Use, Deployment, Region - Cumulative Impact of COVID-19, Russia Ukraine Conflict, High Inflation

Description

List of Tables

The Global Clinical Trials Matching Software Market size was estimated at USD 194.27 million in 2022 and expected to reach USD 219.51 million in 2023, projecting growth at a CAGR of 13.47% to reach USD 534.07 million by 2030.

Cumulative Impact of COVID-19:

COVID-19 is an unprecedented global public health emergency that affected almost every industry, and the long-term impacts are projected to reflect on the growth of various end-use industries during the forecast period. This ongoing research amplifies the research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19, considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The dedicated section in the report uncovers a detailed analysis of the impact of COVID-19 and its subsequent variant outbreaks on demand, supply, price, and vendor uptake and provides recommendations for sustainable outcomes. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the Global Clinical Trials Matching Software Market.

Cumulative Impact of Russia-Ukraine Conflict:

We continuously monitor and update reports considering unceasing political and economic uncertainty due to the Russia-Ukraine Conflict. Negative impacts are globally foreseen, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected people's lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on Ukraine and reverberate harsh long-term effects on Russia. The report uncovers the implications for demand-supply balances, pressure on pricing variants, impact on import/export and trading, and short-term recommendations to the Global Clinical Trials Matching Software Market considering the current update on the conflict and its global responses.

Cumulative Impact of High Inflation:

The high inflation in developed economies globally has resulted in an overall price surge over the past two years. The cumulatively eroding overall purchasing power is expected to impact developing economies significantly and is considered helpful in numerous ways. The report uncovers the effect of high inflation on the long-term performance of the global economy and provides details on fiscal policies measuring and reducing its short-term impacts on demand/supply, cash flow, and currency exchange. The Global Clinical Trials Matching Software Market report delivers the high inflation expectation considering the related impact from cost-push and demand-pull inflation.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make better decisions. In this report, the years 2018 and 2021 are considered as historical years, 2022 as the base year, 2023 as the estimated year, and years from 2024 to 2030 are considered as the forecast period.

Market Segmentation & Coverage:

The report on the Global Clinical Trials Matching Software Market identifies key attributes about the customer to define the potential market and identify different needs across the industry. Understanding the potential customer group's economies and geographies can help gain business acumen for better strategic decision-making. Our market coverage across different industry verticals reveals the hidden truth about the players' strategies in different verticals and helps the organization decide target audience. This report gives you the composite view of sub-markets coupled with comprehensive industry coverage and provides you with the right way of accounting factors such as norms & regulations, culture, to make right coverage strategy for your market plan. This research report categorizes the Global Clinical Trials Matching Software Market in order to forecast the revenues and analyze the trends in each of the following sub-markets.

Based on End-Use, the market is studied across CROs, Medical Device Firms, and Pharmaceuticals & Biotechnology Companies.

Based on Deployment, the market is studied across Cloud & Web Based and On-Premise.

Based on Region, the market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes vendors in the Global Clinical Trials Matching Software Market. based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinder, N: Niche, and V: Vital). The Global Clinical Trials Matching Software Market FPNV Positioning Matrix representation/visualization further aids businesses in better decision-making and understanding the competitive landscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market, providing the idea of revenue generation into the overall market compared to other vendors in the space. This provides insights on vendors performance in terms of revenue generation and customer base compared to others. The Global Clinical Trials Matching Software Market Share Analysis offers an idea of the size and competitiveness of the vendors for the base year. The outcome reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:

The Competitive Scenario provides an outlook analysis of the various strategies for business growth adopted by the vendors. The news in this section covers valuable insights at various stages while keeping up with the business and engaging stakeholders in the economic debate. The Global Clinical Trials Matching Software Market Competitive Scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected helps vendors understand the gaps in the marketplace and competitor's strengths and weaknesses, providing insights to enhance products and services.

Company Usability Profiles:

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Clinical Trials Matching Software Market, including Advarra Technology Solutions, Antidote Technologies, Inc., Aris Global, BSI Business Systems Integration AG, Clario, Clinical Trials Mobile Application, Evidation Health, Inc., HealthMatch Pty. Ltd., Inspirata, Inc., International Business Machines Corporation, IQVIA Holdings, Inc., Microsoft Corporation, Teckro, Tempus Labs, and TrialSpark, Inc..

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players

2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets

3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments

4. Market Trends: Provides comprehensive understanding of the Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and the High Inflation

5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players

6. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Clinical Trials Matching Software Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global Clinical Trials Matching Software Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Clinical Trials Matching Software Market?

4. What is the competitive strategic window for opportunities in the Global Clinical Trials Matching Software Market?

5. What are the technology trends and regulatory frameworks in the Global Clinical Trials Matching Software Market?

6. What is the market share of the leading vendors in the Global Clinical Trials Matching Software Market?

7. What modes and strategic moves are considered suitable for entering the Global Clinical Trials Matching Software Market?

Product Code: MRR-8C74ADFBFE19

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Rising need for clinical trials in healthcare domain
  - 5.1.1.2. Significant requirement for precision oncology
  - 5.1.1.3. Potential demand for virtual trials and automation in the healthcare sector
- 5.1.2. Restraints
  - 5.1.2.1. Concern associated with accuracy of clinical trial results
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing research and development activities in pharmaceuticals and biotechnology scetor
  - 5.1.3.2. Integration of artificial intelligence in clinical trial matching services
- 5.1.4. Challenges
  - 5.1.4.1. Dearth of skilled and experienced professionals
5.2. Cumulative Impact of COVID-19
5.3. Cumulative Impact of Russia-Ukraine Conflict
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Threat of Substitutes
- 5.5.4. Threat of Substitutes
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
5.8. Client Customization

6. Clinical Trials Matching Software Market, by End-Use

6.1. Introduction
6.2. CROs
6.3. Medical Device Firms
6.4. Pharmaceuticals & Biotechnology Companies

7. Clinical Trials Matching Software Market, by Deployment

7.1. Introduction
7.2. Cloud & Web Based
7.3. On-Premise

8. Americas Clinical Trials Matching Software Market

8.1. Introduction
8.2. Argentina
8.3. Brazil
8.4. Canada
8.5. Mexico
8.6. United States

9. Asia-Pacific Clinical Trials Matching Software Market

9.1. Introduction
9.2. Australia
9.3. China
9.4. India
9.5. Indonesia
9.6. Japan
9.7. Malaysia
9.8. Philippines
9.9. Singapore
9.10. South Korea
9.11. Taiwan
9.12. Thailand
9.13. Vietnam

10. Europe, Middle East & Africa Clinical Trials Matching Software Market

10.1. Introduction
10.2. Denmark
10.3. Egypt
10.4. Finland
10.5. France
10.6. Germany
10.7. Israel
10.8. Italy
10.9. Netherlands
10.10. Nigeria
10.11. Norway
10.12. Poland
10.13. Qatar
10.14. Russia
10.15. Saudi Arabia
10.16. South Africa
10.17. Spain
10.18. Sweden
10.19. Switzerland
10.20. Turkey
10.21. United Arab Emirates
10.22. United Kingdom

11. Competitive Landscape

11.1. FPNV Positioning Matrix
- 11.1.1. Quadrants
- 11.1.2. Business Strategy
- 11.1.3. Product Satisfaction
11.2. Market Ranking Analysis, By Key Player
11.3. Market Share Analysis, By Key Player
11.4. Product Portfolio Analysis, By Key Player
11.5. Competitive Scenario
- 11.5.1. Merger & Acquisition
- 11.5.2. Agreement, Collaboration, & Partnership
- 11.5.3. New Product Launch & Enhancement
- 11.5.4. Investment & Funding
- 11.5.5. Award, Recognition, & Expansion

12. Company Usability Profiles

12.1. Advarra Technology Solutions
12.2. Antidote Technologies, Inc.
12.3. Aris Global
12.4. BSI Business Systems Integration AG
12.5. Clario
12.6. Clinical Trials Mobile Application
12.7. Evidation Health, Inc.
12.8. HealthMatch Pty. Ltd.
12.9. Inspirata, Inc.
12.10. International Business Machines Corporation
12.11. IQVIA Holdings, Inc.
12.12. Microsoft Corporation
12.13. Teckro
12.14. Tempus Labs
12.15. TrialSpark, Inc.

13. Appendix

13.1. Discussion Guide
13.2. License & Pricing