Europe NLP in Healthcare and Life Sciences Market Size, Share & Industry Trends Analysis Report By Component, By Solution Type, By End User, By NLP Type, By Deployment Mode, By Organization Size, By Application, By Country and Growth Forecast, 2022 – 2028

Europe NLP in Healthcare and Life Sciences Market Size, Share & Industry Trends Analysis Report By Component, By Solution Type, By End User, By NLP Type, By Deployment Mode, By Organization Size, By Application, By Country and Growth Forecast, 2022 – 2028

The Europe NLP in Healthcare and Life Sciences Market would witness market growth of 19.6% CAGR during the forecast period (2022-2028).

Huge amounts of unorganized patient data are entered into EHRs on a regular basis, but computers struggle to help clinicians aggregate this vital information. Structured data, such as claims or CCDAs / FHIR APIs, can help evaluate illness burden, but they only provide us a partial picture of the patient record. The vast majority of healthcare paperwork is unstructured and hence goes mostly unused because mining and extracting this data is difficult and time-consuming. That data is not in a useable shape for modern computer-based algorithms to retrieve without NLP technology.

Natural language processing in healthcare employs specialized engines capable of cleaning vast amounts of unstructured health data for previously ignored or incorrectly classified patient problems. In addition, Natural language processing of medical information employing machine-learned algorithms can reveal disease that hasn't been coded before, which is a critical aspect of finding HCC disease.

Almost all healthcare facilities in the region now employ electronic medical information systems to replace conventional handwritten medical reports. Structured diagnoses, radiographic examinations, test values, clinical symptoms, molecular biomarkers, and a slew of other treatment-related data are all stored and handled electronically. However, a significant proportion of clinical information is stored in unstructured or unknown formats. To re-use these unstructured data in the construction of personalized treatment algorithms, natural language processing (NLP) must be used to extract and arrange the data through the augmentation and annotation of correct terminology.

The technological requirements for structured data extraction in the creation of treatment algorithms are based on the continued development of semantic analysis approaches such as text mining. Clinical text notes or clinical outcome parameters have lately been substantially developed using natural language processing (NLP).

The Germany market dominated the Europe NLP in Healthcare and Life Sciences Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $439.9 million by 2028. The UK market is estimated to grow at a CAGR of 18.6% during (2022 - 2028). Additionally, The France market would witness a CAGR of 20.5% during (2022 - 2028).

Based on Component, the market is segmented into Solution and Services. Based on Solution Type, the market is segmented into Clinical Variation Management, Population Health Management, Counter Fraud Management, and Others. Based on End User, the market is segmented into NLP for Physician, NLP for Patients, NLP for Researchers, and NLP for Clinical Operators. Based on NLP Type, the market is segmented into Rule-based, Statistical, and Hybrid. Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). Based on Application, the market is segmented into IVR, Summarization & Categorization, Reporting & Visualization, Pattern & Image Recognition, Text & Speech Analytics, Predictive Risk Analytics, and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include 3M Company, IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Inc., Cerner Corporation, Corti ApS, Lexalytics, Inc., Health Fidelity, Inc., and Linguamatics.

Scope of the Study

Market Segments covered in the Report:

By Component

  • Solution
  • Services
  • Clinical Variation Management
  • Population Health Management
  • Counter Fraud Management
  • Others
By End User
  • NLP for Physician
  • NLP for Patients
  • NLP for Researchers
  • NLP for Clinical Operators
By NLP Type
  • Rule-based
  • Statistical
  • Hybrid
By Deployment Mode
  • Cloud
  • On-premise
By Organization Size
  • Large Enterprises
  • Small & Medium Enterprises (SMEs)
By Application
  • IVR
  • Summarization & Categorization
  • Reporting & Visualization
  • Pattern & Image Recognition
  • Text & Speech Analytics
  • Predictive Risk Analytics
  • Others
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
Companies Profiled
  • 3M Company
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Cerner Corporation
  • Corti ApS
  • Lexalytics, Inc.
  • Health Fidelity, Inc.
  • Linguamatics
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Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe NLP in Healthcare and Life Sciences Market, by Component
1.4.2 Europe NLP in Healthcare and Life Sciences Market, by End User
1.4.3 Europe NLP in Healthcare and Life Sciences Market, by NLP Type
1.4.4 Europe NLP in Healthcare and Life Sciences Market, by Deployment Mode
1.4.5 Europe NLP in Healthcare and Life Sciences Market, by Organization Size
1.4.6 Europe NLP in Healthcare and Life Sciences Market, by Application
1.4.7 Europe NLP in Healthcare and Life Sciences Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.1 Market Share Analysis, 2020
3.2 Top Winning Strategies
3.2.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.2.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2019, Jan – 2022, Mar) Leading Players
Chapter 4. Europe NLP in Healthcare and Life Sciences Market by Component
4.1 Europe Solution Market by Country
4.2 Europe NLP in Healthcare and Life Sciences Market by Solution Type
4.2.1 Europe Clinical Variation Management Market by Country
4.2.2 Europe Population Health Management Market by Country
4.2.3 Europe Counter Fraud Management Market by Country
4.2.4 Europe Others Market by Country
4.3 Europe Services Market by Country
Chapter 5. Europe NLP in Healthcare and Life Sciences Market by End User
5.1 Europe NLP for Physician Market by Country
5.2 Europe NLP for Patients Market by Country
5.3 Europe NLP for Researchers Market by Country
5.4 Europe NLP for Clinical Operators Market by Country
Chapter 6. Europe NLP in Healthcare and Life Sciences Market by NLP Type
6.1 Europe Rule-based Market by Country
6.2 Europe Statistical Market by Country
6.3 Europe Hybrid Market by Country
Chapter 7. Europe NLP in Healthcare and Life Sciences Market by Deployment Mode
7.1 Europe Cloud Market by Country
7.2 Europe On-premise Market by Country
Chapter 8. Europe NLP in Healthcare and Life Sciences Market by Organization Size
8.1 Europe Large Enterprises Market by Country
8.2 Europe Small & Medium Enterprises (SMEs) Market by Country
Chapter 9. Europe NLP in Healthcare and Life Sciences Market by Application
9.1 Europe IVR Market by Country
9.2 Europe Summarization & Categorization Market by Country
9.3 Europe Reporting & Visualization Market by Country
9.4 Europe Pattern & Image Recognition Market by Country
9.5 Europe Text & Speech Analytics Market by Country
9.6 Europe Predictive Risk Analytics Market by Country
9.7 Europe Others Market by Country
Chapter 10. Europe NLP in Healthcare and Life Sciences Market by Country
10.1 Germany NLP in Healthcare and Life Sciences Market
10.1.1 Germany NLP in Healthcare and Life Sciences Market by Component
10.1.1.1 Germany NLP in Healthcare and Life Sciences Market by Solution Type
10.1.2 Germany NLP in Healthcare and Life Sciences Market by End User
10.1.3 Germany NLP in Healthcare and Life Sciences Market by NLP Type
10.1.4 Germany NLP in Healthcare and Life Sciences Market by Deployment Mode
10.1.5 Germany NLP in Healthcare and Life Sciences Market by Organization Size
10.1.6 Germany NLP in Healthcare and Life Sciences Market by Application
10.2 UK NLP in Healthcare and Life Sciences Market
10.2.1 UK NLP in Healthcare and Life Sciences Market by Component
10.2.1.1 UK NLP in Healthcare and Life Sciences Market by Solution Type
10.2.2 UK NLP in Healthcare and Life Sciences Market by End User
10.2.3 UK NLP in Healthcare and Life Sciences Market by NLP Type
10.2.4 UK NLP in Healthcare and Life Sciences Market by Deployment Mode
10.2.5 UK NLP in Healthcare and Life Sciences Market by Organization Size
10.2.6 UK NLP in Healthcare and Life Sciences Market by Application
10.3 France NLP in Healthcare and Life Sciences Market
10.3.1 France NLP in Healthcare and Life Sciences Market by Component
10.3.1.1 France NLP in Healthcare and Life Sciences Market by Solution Type
10.3.2 France NLP in Healthcare and Life Sciences Market by End User
10.3.3 France NLP in Healthcare and Life Sciences Market by NLP Type
10.3.4 France NLP in Healthcare and Life Sciences Market by Deployment Mode
10.3.5 France NLP in Healthcare and Life Sciences Market by Organization Size
10.3.6 France NLP in Healthcare and Life Sciences Market by Application
10.4 Russia NLP in Healthcare and Life Sciences Market
10.4.1 Russia NLP in Healthcare and Life Sciences Market by Component
10.4.1.1 Russia NLP in Healthcare and Life Sciences Market by Solution Type
10.4.2 Russia NLP in Healthcare and Life Sciences Market by End User
10.4.3 Russia NLP in Healthcare and Life Sciences Market by NLP Type
10.4.4 Russia NLP in Healthcare and Life Sciences Market by Deployment Mode
10.4.5 Russia NLP in Healthcare and Life Sciences Market by Organization Size
10.4.6 Russia NLP in Healthcare and Life Sciences Market by Application
10.5 Spain NLP in Healthcare and Life Sciences Market
10.5.1 Spain NLP in Healthcare and Life Sciences Market by Component
10.5.1.1 Spain NLP in Healthcare and Life Sciences Market by Solution Type
10.5.2 Spain NLP in Healthcare and Life Sciences Market by End User
10.5.3 Spain NLP in Healthcare and Life Sciences Market by NLP Type
10.5.4 Spain NLP in Healthcare and Life Sciences Market by Deployment Mode
10.5.5 Spain NLP in Healthcare and Life Sciences Market by Organization Size
10.5.6 Spain NLP in Healthcare and Life Sciences Market by Application
10.6 Italy NLP in Healthcare and Life Sciences Market
10.6.1 Italy NLP in Healthcare and Life Sciences Market by Component
10.6.1.1 Italy NLP in Healthcare and Life Sciences Market by Solution Type
10.6.2 Italy NLP in Healthcare and Life Sciences Market by End User
10.6.3 Italy NLP in Healthcare and Life Sciences Market by NLP Type
10.6.4 Italy NLP in Healthcare and Life Sciences Market by Deployment Mode
10.6.5 Italy NLP in Healthcare and Life Sciences Market by Organization Size
10.6.6 Italy NLP in Healthcare and Life Sciences Market by Application
10.7 Rest of Europe NLP in Healthcare and Life Sciences Market
10.7.1 Rest of Europe NLP in Healthcare and Life Sciences Market by Component
10.7.1.1 Rest of Europe NLP in Healthcare and Life Sciences Market by Solution Type
10.7.2 Rest of Europe NLP in Healthcare and Life Sciences Market by End User
10.7.3 Rest of Europe NLP in Healthcare and Life Sciences Market by NLP Type
10.7.4 Rest of Europe NLP in Healthcare and Life Sciences Market by Deployment Mode
10.7.5 Rest of Europe NLP in Healthcare and Life Sciences Market by Organization Size
10.7.6 Rest of Europe NLP in Healthcare and Life Sciences Market by Application
Chapter 11. Company Profiles
11.1 3M Company
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent strategies and developments:
11.1.5.1 Acquisition and Mergers:
11.2 IBM Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Regional & Segmental Analysis
11.2.4 Research & Development Expenses
11.2.5 Recent strategies and developments:
11.2.5.1 Product Launches and Product Expansions:
11.3 Microsoft Corporation
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.5 Recent strategies and developments:
11.3.5.1 Partnerships, Collaborations, and Agreements:
11.3.5.2 Product Launches and Product Expansions:
11.3.5.3 Acquisition and Mergers:
11.4 Google LLC
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental and Regional Analysis
11.4.4 Research & Development Expense
11.4.5 Recent strategies and developments:
11.4.5.1 Partnerships, Collaborations, and Agreements:
11.4.5.2 Product Launches and Product Expansions:
11.5 Amazon Web Services, Inc.
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental and Regional Analysis
11.5.4 Recent strategies and developments:
11.5.4.1 Product Launches and Product Expansions:
11.6 Cerner Corporation (Oracle Corporation)
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Regional Analysis
11.6.4 Research & Development Expense
11.6.5 Recent strategies and developments:
11.6.5.1 Partnerships, Collaborations, and Agreements:
11.7 Corti ApS
11.7.1 Company Overview
11.8 Lexalytics, Inc. (InMoment, Inc.)
11.8.1 Company Overview
11.8.2 Recent strategies and developments:
11.8.2.1 Partnerships, Collaborations, and Agreements:
11.9 Health Fidelity, Inc. (Edifecs, Inc.)
11.9.1 Company Overview
11.9.2 Recent strategies and developments:
11.9.2.1 Partnerships, Collaborations, and Agreements:
11.10. Linguamatics (an IQVIA Company)
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis
11.10.4 Recent strategies and developments:
11.10.4.1 Partnerships, Collaborations, and Agreements:

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