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Asia Pacific 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

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    Report

  • 155 Pages
  • April 2022
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5600730
The Asia Pacific NLP in Healthcare and Life Sciences Market is expected to witness market growth of 21.4% CAGR during the forecast period (2022-2028).

Natural language processing (NLP) is an area of artificial intelligence that analyzes human-computer collaboration to assist machines to understand both written and spoken language. Its ultimate goal is to read, interpret, grasp, and make sense of human languages in a useful way. NLP is a technique for extracting data from a vast volume of clinical data and enhancing it for better preparation and assessment.

Natural language processing (NLP) is a technique that analyzes human-computer collaboration to assist machines also understand written human language. NLP is frequently utilized in the healthcare industry because it can extract data from enormous amounts of clinical data and refine it for better physician preparation and assessment. Factors such as the rising trend of artificial intelligence in natural language processing in the healthcare industry, as well as the growing trend of using NLP in machine translation and information extraction procedures, are expected to boost the NLP in the healthcare and life sciences market significantly. Furthermore, the rising trend of connected device usage in the healthcare industry, as well as the developing IT infrastructure across nations around the world and the rising trend of digitalization, are expected to propel NLP in the healthcare and life sciences market forward.

Due to expanding awareness of AI and increasing investments in AI across the healthcare and life sciences vertical, this region is expected to witness a significant growth in the market. Healthcare firms across the region are rapidly implementing cloud-based NLP technologies. Cloud-based NLP techniques are becoming more popular as a result of benefits such as efficiency, cost-effectiveness, user-friendliness, and expedited access. To maintain market competitiveness and revenue development, companies in APAC continue to focus on improving healthcare services. Japan, China, and South Korea have shown that the NLP market in healthcare and life sciences has a lot of room for expansion. Due to the implementation of modern technologies such as natural language processing (NLP) in healthcare and life sciences for improving business operations in the region, Asia-Pacific is predicted to have a profitable expansion.

The China market dominated the Asia Pacific NLP in Healthcare and Life Sciences Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $549.6 million by 2028. The Japan market is poised to grow at a CAGR of 20.7% during (2022-2028). Additionally, The India market is expected to exhibit a CAGR of 22.2% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stakeholders 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
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players


List of Companies Profiled in the Report:

  • 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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Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific NLP in Healthcare and Life Sciences Market, by Component
1.4.2 Asia Pacific NLP in Healthcare and Life Sciences Market, by End User
1.4.3 Asia Pacific NLP in Healthcare and Life Sciences Market, by NLP Type
1.4.4 Asia Pacific NLP in Healthcare and Life Sciences Market, by Deployment Mode
1.4.5 Asia Pacific NLP in Healthcare and Life Sciences Market, by Organization Size
1.4.6 Asia Pacific NLP in Healthcare and Life Sciences Market, by Application
1.4.7 Asia Pacific 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 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. Asia Pacific NLP in Healthcare and Life Sciences Market by Component
4.1 Asia Pacific Solution Market by Country
4.2 Asia Pacific NLP in Healthcare and Life Sciences Market by Solution Type
4.2.1 Asia Pacific Clinical Variation Management Market by Country
4.2.2 Asia Pacific Population Health Management Market by Country
4.2.3 Asia Pacific Counter Fraud Management Market by Country
4.2.4 Asia Pacific Others Market by Country
4.3 Asia Pacific Services Market by Country
Chapter 5. Asia Pacific NLP in Healthcare and Life Sciences Market by End User
5.1 Asia Pacific NLP for Physician Market by Country
5.2 Asia Pacific NLP for Patients Market by Country
5.3 Asia Pacific NLP for Researchers Market by Country
5.4 Asia Pacific NLP for Clinical Operators Market by Country
Chapter 6. Asia Pacific NLP in Healthcare and Life Sciences Market by NLP Type
6.1 Asia Pacific Rule-based Market by Country
6.2 Asia Pacific Statistical Market by Country
6.3 Asia Pacific Hybrid Market by Country
Chapter 7. Asia Pacific NLP in Healthcare and Life Sciences Market by Deployment Mode
7.1 Asia Pacific Cloud Market by Country
7.2 Asia Pacific On-premise Market by Country
Chapter 8. Asia Pacific NLP in Healthcare and Life Sciences Market by Organization Size
8.1 Asia Pacific Large Enterprises Market by Country
8.2 Asia Pacific Small & Medium Enterprises (SMEs) Market by Country
Chapter 9. Asia Pacific NLP in Healthcare and Life Sciences Market by Application
9.1 Asia Pacific IVR Market by Country
9.2 Asia Pacific Summarization & Categorization Market by Country
9.3 Asia Pacific Reporting & Visualization Market by Country
9.4 Asia Pacific Pattern & Image Recognition Market by Country
9.5 Asia Pacific Text & Speech Analytics Market by Country
9.6 Asia Pacific Predictive Risk Analytics Market by Country
9.7 Asia Pacific Others Market by Country
Chapter 10. Asia Pacific NLP in Healthcare and Life Sciences Market by Country
10.1 China NLP in Healthcare and Life Sciences Market
10.1.1 China NLP in Healthcare and Life Sciences Market by Component
10.1.1.1 China NLP in Healthcare and Life Sciences Market by Solution Type
10.1.2 China NLP in Healthcare and Life Sciences Market by End User
10.1.3 China NLP in Healthcare and Life Sciences Market by NLP Type
10.1.4 China NLP in Healthcare and Life Sciences Market by Deployment Mode
10.1.5 China NLP in Healthcare and Life Sciences Market by Organization Size
10.1.6 China NLP in Healthcare and Life Sciences Market by Application
10.2 Japan NLP in Healthcare and Life Sciences Market
10.2.1 Japan NLP in Healthcare and Life Sciences Market by Component
10.2.1.1 Japan NLP in Healthcare and Life Sciences Market by Solution Type
10.2.2 Japan NLP in Healthcare and Life Sciences Market by End User
10.2.3 Japan NLP in Healthcare and Life Sciences Market by NLP Type
10.2.4 Japan NLP in Healthcare and Life Sciences Market by Deployment Mode
10.2.5 Japan NLP in Healthcare and Life Sciences Market by Organization Size
10.2.6 Japan NLP in Healthcare and Life Sciences Market by Application
10.3 India NLP in Healthcare and Life Sciences Market
10.3.1 India NLP in Healthcare and Life Sciences Market by Component
10.3.1.1 India NLP in Healthcare and Life Sciences Market by Solution Type
10.3.2 India NLP in Healthcare and Life Sciences Market by End User
10.3.3 India NLP in Healthcare and Life Sciences Market by NLP Type
10.3.4 India NLP in Healthcare and Life Sciences Market by Deployment Mode
10.3.5 India NLP in Healthcare and Life Sciences Market by Organization Size
10.3.6 India NLP in Healthcare and Life Sciences Market by Application
10.4 South Korea NLP in Healthcare and Life Sciences Market
10.4.1 South Korea NLP in Healthcare and Life Sciences Market by Component
10.4.1.1 South Korea NLP in Healthcare and Life Sciences Market by Solution Type
10.4.2 South Korea NLP in Healthcare and Life Sciences Market by End User
10.4.3 South Korea NLP in Healthcare and Life Sciences Market by NLP Type
10.4.4 South Korea NLP in Healthcare and Life Sciences Market by Deployment Mode
10.4.5 South Korea NLP in Healthcare and Life Sciences Market by Organization Size
10.4.6 South Korea NLP in Healthcare and Life Sciences Market by Application
10.5 Singapore NLP in Healthcare and Life Sciences Market
10.5.1 Singapore NLP in Healthcare and Life Sciences Market by Component
10.5.1.1 Singapore NLP in Healthcare and Life Sciences Market by Solution Type
10.5.2 Singapore NLP in Healthcare and Life Sciences Market by End User
10.5.3 Singapore NLP in Healthcare and Life Sciences Market by NLP Type
10.5.4 Singapore NLP in Healthcare and Life Sciences Market by Deployment Mode
10.5.5 Singapore NLP in Healthcare and Life Sciences Market by Organization Size
10.5.6 Singapore NLP in Healthcare and Life Sciences Market by Application
10.6 Malaysia NLP in Healthcare and Life Sciences Market
10.6.1 Malaysia NLP in Healthcare and Life Sciences Market by Component
10.6.1.1 Malaysia NLP in Healthcare and Life Sciences Market by Solution Type
10.6.2 Malaysia NLP in Healthcare and Life Sciences Market by End User
10.6.3 Malaysia NLP in Healthcare and Life Sciences Market by NLP Type
10.6.4 Malaysia NLP in Healthcare and Life Sciences Market by Deployment Mode
10.6.5 Malaysia NLP in Healthcare and Life Sciences Market by Organization Size
10.6.6 Malaysia NLP in Healthcare and Life Sciences Market by Application
10.7 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market
10.7.1 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by Component
10.7.1.1 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by Solution Type
10.7.2 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by End User
10.7.3 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by NLP Type
10.7.4 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by Deployment Mode
10.7.5 Rest of Asia Pacific NLP in Healthcare and Life Sciences Market by Organization Size
10.7.6 Rest of Asia Pacific 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:

Companies Mentioned

  • 3M Company
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Cerner Corporation
  • Corti ApS
  • Lexalytics, Inc.
  • Health Fidelity, Inc.
  • Linguamatics

Methodology

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