 | • レポートコード：MRC2303H215 • 出版社/出版日：360iResearch / 2022年10月11日 • レポート形態：英語、PDF、226ページ • 納品方法：Eメール（受注後2-3日） • 産業分類：医療 |
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レポート概要
| 360iResearch社の当調査レポートでは、2021年に359.25百万ドルであった世界の医療＆ライフサイエンスにおけるNLP市場規模が2022年に443.20百万ドルとなり、今後は年平均23.54％成長して2027年までに1,277.59百万ドルに達すると予測しています。当書は、医療＆ライフサイエンスにおけるNLPの世界市場について調査し、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、組織規模別（大企業、中小企業）分析、NLP種類別（ハイブリッド、ルールベース、統計的）分析、展開別（クラウド、オンプレミス）分析、エンドユーザー別（臨床オペレーター向けNLP、患者向けのNLP、医師向けNLP、研究者向けNLP）分析、地域別（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）分析、競争状況、企業情報など、以下の構成でまとめております。なお、当書には、3M、Apixio Inc.、Averbis、AWS、Cerner Corporation、Dolbey Systems Inc.、Gnani.a、Google、Heath Fidelity、IBM Corporation、Inovalon、Lexalytics、Linguamatics、Linguamatics (an IQVIA Company)、Microsoft Corporationなどの企業情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界の医療＆ライフサイエンスにおけるNLP市場規模：組織規模別 - 大企業における市場規模 - 中小企業における市場規模 ・世界の医療＆ライフサイエンスにおけるNLP市場規模：NLP種類別 - ハイブリッドNLPの市場規模 - ルールベースNLPの市場規模 - 統計的NLPの市場規模 ・世界の医療＆ライフサイエンスにおけるNLP市場規模：展開別 - クラウドの市場規模 - オンプレミスの市場規模 ・世界の医療＆ライフサイエンスにおけるNLP市場規模：エンドユーザー別 - 臨床オペレーター向けNLPの市場規模 - 患者向けのNLPの市場規模 - 医師向けNLPの市場規模 - 研究者向けNLPの市場規模 ・世界の医療＆ライフサイエンスにおけるNLP市場規模：地域別 - 南北アメリカの医療＆ライフサイエンスにおけるNLP市場規模 アメリカの医療＆ライフサイエンスにおけるNLP市場規模 カナダの医療＆ライフサイエンスにおけるNLP市場規模 ブラジルの医療＆ライフサイエンスにおけるNLP市場規模 ... - アジア太平洋の医療＆ライフサイエンスにおけるNLP市場規模 日本の医療＆ライフサイエンスにおけるNLP市場規模 中国の医療＆ライフサイエンスにおけるNLP市場規模 インドの医療＆ライフサイエンスにおけるNLP市場規模 韓国の医療＆ライフサイエンスにおけるNLP市場規模 台湾の医療＆ライフサイエンスにおけるNLP市場規模 ... - ヨーロッパ/中東/アフリカの医療＆ライフサイエンスにおけるNLP市場規模 イギリスの医療＆ライフサイエンスにおけるNLP市場規模 ドイツの医療＆ライフサイエンスにおけるNLP市場規模 フランスの医療＆ライフサイエンスにおけるNLP市場規模 ロシアの医療＆ライフサイエンスにおけるNLP市場規模 ... - その他地域の医療＆ライフサイエンスにおけるNLP市場規模 ・競争状況 ・企業情報 |
The Global NLP in Healthcare & Life Sciences Market size was estimated at USD 359.25 million in 2021 and expected to reach USD 443.20 million in 2022, and is projected to grow at a CAGR 23.54% to reach USD 1,277.59 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the NLP in Healthcare & Life Sciences to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Organization Size, the market was studied across Large enterprises and Small and medium-sized enterprises (SMEs).
Based on NLP Type, the market was studied across Hybrid, Rule-based, and Statistical.
Based on Component, the market was 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 and Claim Management.
Based on Deployment Mode, the market was studied across Cloud and On-premises.
Based on Application, the market was studied across IVR, Pattern and Image Recognition, Predictive Risk Analytics, Reporting and Visualization, Summarization and Categorization, and Text and Speech Analytics.
Based on End User, the market was studied across NLP for Clinical Operators, NLP for Patients, NLP for Physician, and NLP for Researchers.
Based on Region, the market was 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.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our 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 updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected 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 the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for NLP in Healthcare & Life Sciences market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the NLP in Healthcare & Life Sciences 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) that 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. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It 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 business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The 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 help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global NLP in Healthcare & Life Sciences Market, including 3M, Apixio Inc., Averbis, AWS, Cerner Corporation, Dolbey Systems Inc., Gnani.a, Google, Heath Fidelity, IBM Corporation, Inovalon, Lexalytics, Linguamatics, Linguamatics (an IQVIA Company), and Microsoft Corporation.
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 analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. 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?
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. 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. Cumulative Impact of COVID-19
6. NLP in Healthcare & Life Sciences Market, by Organization Size
6.1. Introduction
6.2. Large enterprises
6.3. Small and medium-sized enterprises (SMEs)
7. NLP in Healthcare & Life Sciences Market, by NLP Type
7.1. Introduction
7.2. Hybrid
7.3. Rule-based
7.4. Statistical
8. NLP in Healthcare & Life Sciences Market, by Component
8.1. Introduction
8.2. Services
8.3.1. Managed Services
8.3.2. Professional Services
8.3. Solution
8.4.1. Clinical Variation Management
8.4.2. Counter Fraud Management
8.4.3. Population Health Management
8.4.4. Risk Adjustment and Claim Management
9. NLP in Healthcare & Life Sciences Market, by Deployment Mode
9.1. Introduction
9.2. Cloud
9.3. On-premises
10. NLP in Healthcare & Life Sciences Market, by Application
10.1. Introduction
10.2. IVR
10.3. Pattern and Image Recognition
10.4. Predictive Risk Analytics
10.5. Reporting and Visualization
10.6. Summarization and Categorization
10.7. Text and 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
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis, By Key Player
15.3. Market Share Analysis, By Key Player
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration, & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding
15.4.5. Award, Recognition, & Expansion
16. Company Usability Profiles
16.1. 3M
16.1.1. Business Overview
16.1.2. Key Executives
16.1.3. Product & Services
16.2. Apixio Inc.
16.2.1. Business Overview
16.2.2. Key Executives
16.2.3. Product & Services
16.3. Averbis
16.3.1. Business Overview
16.3.2. Key Executives
16.3.3. Product & Services
16.4. AWS
16.4.1. Business Overview
16.4.2. Key Executives
16.4.3. Product & Services
16.5. Cerner Corporation
16.5.1. Business Overview
16.5.2. Key Executives
16.5.3. Product & Services
16.6. Dolbey Systems Inc.
16.6.1. Business Overview
16.6.2. Key Executives
16.6.3. Product & Services
16.7. Gnani.a
16.7.1. Business Overview
16.7.2. Key Executives
16.7.3. Product & Services
16.8. Google
16.8.1. Business Overview
16.8.2. Key Executives
16.8.3. Product & Services
16.9. Heath Fidelity
16.9.1. Business Overview
16.9.2. Key Executives
16.9.3. Product & Services
16.10. IBM Corporation
16.10.1. Business Overview
16.10.2. Key Executives
16.10.3. Product & Services
16.11. Inovalon
16.11.1. Business Overview
16.11.2. Key Executives
16.11.3. Product & Services
16.12. Lexalytics
16.12.1. Business Overview
16.12.2. Key Executives
16.12.3. Product & Services
16.13. Linguamatics
16.13.1. Business Overview
16.13.2. Key Executives
16.13.3. Product & Services
16.14. Linguamatics (an IQVIA Company)
16.14.1. Business Overview
16.14.2. Key Executives
16.14.3. Product & Services
16.15. Microsoft Corporation
16.15.1. Business Overview
16.15.2. Key Executives
16.15.3. Product & Services
17. Appendix
17.1. Discussion Guide
17.2. License & Pricing