NLP in Healthcare & Life Sciences Market by NLP Type, Component, Deployment Mode, Organization Size, Application, End-User - Cumulative Impact of COVID-19, Russia Ukraine Conflict, and High Inflation

Description

List of Tables

The Global NLP in Healthcare & Life Sciences Market is forecasted to grow significantly, with a projected USD 547.34 million in 2023 at a CAGR of 23.63% and expected to reach a staggering USD 2,419.06 million by 2030.

The Cumulative Impact of COVID-19, the Russia-Ukraine Conflict, and High Inflation is expected to have significant long-term effects on the Global NLP in Healthcare & Life Sciences Market. The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government interventions caused by the pandemic. Similarly, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine Conflict and its potential implications for demand-supply balances, pressure on pricing variants, and import/export and trading. Additionally, the report addresses the impact of High Inflation on the global economy and details fiscal policies measuring and reducing its effects on demand, supply, cash flow, and currency exchange.

Market Segmentation & Coverage:

This research report categorizes the Global NLP in Healthcare & Life Sciences Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on NLP Type, market is studied across Hybrid, Rule-Based, and Statistical. The Statistical is projected to witness significant market share during forecast period.

Based on Component, market is studied across Services and Solution. The Services is further studied across Managed Services and Professional Services. The Solution is further studied across Clinical Variation Management, Counter Fraud Management, Population Health Management, and Risk Adjustment & Claim Management. The Solution is projected to witness significant market share during forecast period.

Based on Deployment Mode, market is studied across Cloud and On-premises. The On-premises is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises. The Small & Medium-Sized Enterprises is projected to witness significant market share during forecast period.

Based on Application, market is studied across IVR, Pattern & Image Recognition, Predictive Risk Analytics, Reporting & Visualization, Summarization & Categorization, and Text & Speech Analytics. The Text & Speech Analytics is projected to witness significant market share during forecast period.

Based on End-User, market is studied across NLP for Clinical Operators, NLP for Patients, NLP for Physician, and NLP for Researchers. The NLP for Physician is projected to witness significant market share during forecast period.

Based on Region, 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. The Americas commanded largest market share of 38.75% in 2022, followed by Europe, Middle East & Africa.

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 well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Global NLP in Healthcare & Life Sciences Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in a particular market space. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

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 NLP in Healthcare & Life Sciences Market?

2. What are the inhibiting factors and impact of COVID-19 shaping the Global NLP in Healthcare & Life Sciences Market during the forecast period?

3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global NLP in Healthcare & Life Sciences Market?

4. What is the competitive strategic window for opportunities in the Global NLP in Healthcare & Life Sciences Market?

5. What are the technology trends and regulatory frameworks in the Global NLP in Healthcare & Life Sciences Market?

6. What is the market share of the leading vendors in the Global NLP in Healthcare & Life Sciences Market?

7. What modes and strategic moves are considered suitable for entering the Global NLP in Healthcare & Life Sciences Market?

Product Code: MRR-2D64BA93A20F

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

4.1. Introduction
4.2. NLP in Healthcare & Life Sciences Market, by NLP Type, 2022 vs 2030
4.3. NLP in Healthcare & Life Sciences Market, by Component, 2022 vs 2030
4.4. NLP in Healthcare & Life Sciences Market, by Deployment Mode, 2022 vs 2030
4.5. NLP in Healthcare & Life Sciences Market, by Organization Size, 2022 vs 2030
4.6. NLP in Healthcare & Life Sciences Market, by Application, 2022 vs 2030
4.7. NLP in Healthcare & Life Sciences Market, by End-User, 2022 vs 2030
4.8. NLP in Healthcare & Life Sciences Market, by Region, 2022 vs 2030

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Potential demand for handling vast quantities of medical records coupled with managing unstructured data
  - 5.1.1.2. Increasing adoption of artificial intelligence in healthcare and life sciences
  - 5.1.1.3. Growing healthcare and life sciences facilities worldwide
- 5.1.2. Restraints
  - 5.1.2.1. Concern regarding NLP awareness coupled with lack of skilled healthcare as well as life science professionals
- 5.1.3. Opportunities
  - 5.1.3.1. Upsurging necessity for quality improvement of healthcare systems globally
  - 5.1.3.2. Rising transformation in life science to improve the outcomes of system
  - 5.1.3.3. Rapidly growing patent landscaping & Competitive Intelligence attributed to life sciences
- 5.1.4. Challenges
  - 5.1.4.1. Limitations on use of specific sublanguages in NLP
5.2. Market Trends
5.3. Cumulative Impact of COVID-19
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework
5.9. Client Customization

6. NLP in Healthcare & Life Sciences Market, by NLP Type

6.1. Introduction
6.2. Hybrid
6.3. Rule-Based
6.4. Statistical

7. NLP in Healthcare & Life Sciences Market, by Component

7.1. Introduction
7.2. Services
- 7.2.1. Managed Services
- 7.2.2. Professional Services
7.3. Solution
- 7.3.1. Clinical Variation Management
- 7.3.2. Counter Fraud Management
- 7.3.3. Population Health Management
- 7.3.4. Risk Adjustment & Claim Management

8. NLP in Healthcare & Life Sciences Market, by Deployment Mode

8.1. Introduction
8.2. Cloud
8.3. On-premises

9. NLP in Healthcare & Life Sciences Market, by Organization Size

9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium-Sized Enterprises

10. NLP in Healthcare & Life Sciences Market, by Application

10.1. Introduction
10.2. IVR
10.3. Pattern & Image Recognition
10.4. Predictive Risk Analytics
10.5. Reporting & Visualization
10.6. Summarization & Categorization
10.7. Text & Speech Analytics

11. NLP in Healthcare & Life Sciences Market, by End-User

11.1. Introduction
11.2. NLP for Clinical Operators
11.3. NLP for Patients
11.4. NLP for Physician
11.5. NLP for Researchers

12. Americas NLP in Healthcare & Life Sciences Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific NLP in Healthcare & Life Sciences Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa NLP in Healthcare & Life Sciences Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player

16. List of Company Mentioned

17. Appendix

17.1. Discussion Guide
17.2. License & Pricing