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Natural Language Processing Market for Health Care and Life Sciences Industry by Type (Rule-Based, Statistical, & Hybrid NLP Solutions), Region (North America, Europe, Asia-Pacific, Middle East and Africa, Latin America) - Global Forecast to 2020

ヘルスケア及び生命科学産業向け自然言語処理（NLP）の世界市場

◆タイトル：Natural Language Processing Market for Health Care and Life Sciences Industry by Type (Rule-Based, Statistical, & Hybrid NLP Solutions), Region (North America, Europe, Asia-Pacific, Middle East and Africa, Latin America) - Global Forecast to 2020
◆商品コード：MAM-TC-3660
◆調査・発行会社：MarketsandMarkets
◆発行日：2015年8月12日
◆ページ数：109
◆レポート形式：PDF / 英語
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◆産業分野：IT
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 【レポートの概要】

当調査レポートでは、ヘルスケア及び生命科学産業向け自然言語処理（NLP）の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観、種類別分析、地域別分析、市場規模及び予測、競争状況、関連企業分析などの情報をお届けいたします。

The advent of Electronic Health Records (EHR) has prioritized the use of innovative technologies. Many healthcare and life sciences business organizations are progressively seeking high end NLP technologies which would provide them better and quick access to the clinical data to derive better results for medical diagnosis. There is an explosive growth of unstructured clinical data, and healthcare firms are deploying solutions to utilize this unstructured data for many functions, such as to retrieve patient’s history, to reduce the readmission of the patients for particular diseases, and to generate reminders for the physicians.

The type of Natural Language Processing (NLP) solutions for the healthcare and life sciences industry are broadly categorized into rule-based, statistical, and hybrid NLP solutions. The rule-based NLP technologies work on the basis of certain set of rules provided by humans. The statistical NLP solutions which incorporate high end technologies such as machine learning, use the cause and effect relationship to derive a solution, and the hybrid NLP is the combination of both rule-based and statistical NLP technologies.
The NLP market for healthcare and life sciences industry is also segmented on the basis of technologies, which include interactive voice response, optical character recognition, pattern and image recognition, auto coding, classification and categorization, text analytics, and speech analytics. However, the NLP market for the healthcare and life sciences industry is also segmented on the basis of deployment model into on premises and on demand deployment models for the NLP solutions.

This market research report consists of the detailed analysis, market sizing, and forecasting for the emerging submarkets of the NLP market for healthcare and life sciences industry. The report is segmented on the basis of type of NLP solutions, technologies, services, deployment models, and regions. The NLP market for healthcare and life sciences industry research report analyzes global adoption trends, future growth potential, key drivers, competitive outlook, restraints, opportunities, market ecosystem, and emerging technologies in this market.

The report is expected to help the market leaders/new entrants in this market in the following ways:

1. The NLP market for healthcare and life sciences industry report segments the market into types, technologies, services, deployment models, and regions covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the sub-segments.

2. The NLP market for healthcare and life sciences industry report will help them better understand the competitors and gain more insights to better position their business. There is a separate section on competitive landscape that includes competitors’ ecosystem and their roles in the market. Besides, there are company profiles of the top 10 players in this market. In this section, market internals are provided that can put them ahead of the competitors.

The report will help them understand the overall growth of the market. The report provides information and analysis of key market drivers, restraints, challenges, and opportunities.

【レポートの目次】

1 Introduction (Page No. – 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Currency
1.5 Limitation
1.6 Stakeholders

2 Research Methodology (Page No. – 18)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Breakdown of Primaries
2.2 Market Size Estimation
2.3 Market Breakdown and Data Triangulation
2.3.1 Assumptions

3 Executive Summary (Page No. – 28)

4 Premium Insights (Page No. – 31)
4.1 Attractive Market Opportunities in the Natural Language Processing Market for Healthcare and Life Sciences Industry
4.2 Natural Language Processing Market for the Healthcare and Life Sciences Industry: CAGR of Top Three Types of Solutions and Technologies
4.3 Lifecycle Analysis, By Region
4.4 Market Investment Scenario

5 Market Overview (Page No. – 35)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Explosive Growth of Data
5.2.1.2 Increasing Utilization of the Internet
5.2.1.3 Increase in the Use of Connected Devices
5.2.2 Restraints
5.2.2.1 Lack in Collaborative Adoption
5.2.2.2 Governmental Regulations
5.2.3 Opportunities
5.2.3.1 Growing Need for “Personalized Medicine”
5.2.3.2 Need to Raise Disease Awareness
5.2.4 Challenges
5.2.4.1 Ambiguity in the Medical Terms
5.2.4.2 Multilingual Patients

6 Natural Language Processing Market for Healthcare and Life Sciences Industry, By Type (Page No. – 40)
6.1 Introduction
6.2 Rule-Based NLP
6.3 Statistical NLP
6.4 Hybrid NLP

7 Natural Language Processing Market for Healthcare and Life Sciences Industry, By Technology (Page No. – 46)
7.1 Introduction
7.2 Interactive Voice Response
7.3 Optical Character Recognition
7.4 Pattern and Image Recognition
7.5 Auto Coding
7.6 Classification and Categorization
7.7 Text Analytics
7.8 Speech Analytics

8 Natural Language Processing Market for Healthcare and Life Sciences Industry, By Service (Page No. – 60)
8.1 Introduction
8.2 Professional Services
8.3 Support and Maintenance Services

9 Natural Language Processing Market for Healthcare and Life Sciences Industry, By Deployment Model (Page No. – 65)
9.1 Introduction
9.2 On-Premises
9.3 On-Demand

10 Natural Language Processing Market for Healthcare and Life Sciences Industry, Case Study (Page No. – 70)
10.1 Introduction
10.2 Healthcare and Life Sciences
10.3 Market Problem (Case Study)
10.3.1 Introduction
10.3.2 Problem Statement 1
10.3.3 Solution 1
10.3.4 Problem Statement 2
10.3.5 Solution 2
10.3.6 Problem Statement 3
10.3.7 Solution 3

11 Natural Language Processing Market for Healthcare and Life Sciences Industry, By Region (Page No. – 73)
11.1 Introduction
11.2 North America
11.2.1 U.S.
11.3 Europe
11.3.1 U.K.
11.4 Asia-Pacific
11.5 Middle East and Africa
11.6 Latin America

12 Competitive Landscape (Page No. – 82)
12.1 Overview
12.2 Competitive Situation and Trends
12.2.1 Partnerships, Collaborations, and Agreements
12.2.2 New Product Launches
12.2.3 Acquisitions
12.2.4 Venture Funding

13 Company Profiles (Page No. – 94)
13.1 Introduction
13.2 3M
13.2.1 Business Overview
13.2.2 Products Offered
13.2.3 Recent Developments
13.2.4 MnM View
13.2.4.1 Key Strategies
13.2.4.2 SWOT Analysis
13.3 International Business Machines Corporation
13.3.1 Business Overview
13.3.2 Products Offered
13.3.3 Recent Developments
13.3.4 MnM View
13.3.4.1 Key Strategies
13.3.4.2 SWOT Analysis
13.4 Microsoft Corporation
13.4.1 Business Overview
13.4.2 Products and Services Offered
13.4.3 Recent Developments
13.4.4 MnM View
13.4.4.1 Key Strategies
13.4.4.2 SWOT Analysis
13.5 Nuance Communication Inc.
13.5.1 Business Overview
13.5.2 Products Offered
13.5.3 Recent Developments
13.5.4 MnM View
13.5.4.1 Key Strategies
13.5.4.2 SWOT Analysis
13.6 Cerner Corporation
13.6.1 Business Overview
13.6.2 Products Offered
13.6.3 Recent Developments
13.6.4 MnM View
13.6.4.1 Key Strategies
13.6.4.2 SWOT Analysis
13.7 Optum, Inc.
13.7.1 Business Overview
13.7.2 Products Offered
13.7.3 Recent Developments
13.7.4 MnM View
13.7.4.1 Key Strategies
13.7.4.2 SWOT Analysis
13.8 Linguamatics
13.8.1 Business Overview
13.8.2 Products and Services Offered
13.8.3 Recent Developments
13.8.4 MnM View
13.8.4.1 Key Strategies
13.9 Health Fidelity
13.9.1 Business Overview
13.9.2 Products and Services Offered
13.9.3 Recent Developments
13.9.4 MnM View
13.9.4.1 Key Strategies
13.10 Apixio
13.10.1 Business Overview
13.10.2 Products Offered
13.10.3 Recent Developments
13.10.4 MnM View
13.10.4.1 Key Strategies
13.11 Mmodal Ip Llc
13.11.1 Business Overview
13.11.2 Products and Services Offered
13.11.3 Recent Developments
13.11.4 MnM View
13.11.4.1 Key Strategies
13.12 Dolbey Systems
13.12.1 Business Overview
13.12.2 Products and Services Offered
13.12.3 Recent Developments
13.12.4 MnM View
13.12.4.1 Key Strategies

14 Appendix (Page No. – 128)
14.1 Insights of Industry Experts
14.2 Discussion Guide
14.3 Introducing RT: Real-Time Market Intelligence
14.4 Available Customizations
14.5 Related Reports

List of Tables (39 Tables)

Table 1 Global Natural Language Processing Market for Healthcare and Life Sciences: Assumptions
Table 2 Natural Language Processing Market Size, By Type, 2013–2020 (USD Million)
Table 3 Rule-Based NLP: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 4 Statistical NLP: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 5 Hybrid NLP: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 6 Natural Language Preocessing for Healthcare and Life Sciences Industry, By Technology, 2013–2020 (USD Million)
Table 7 Interactive Voice Response: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 8 Interactive Voice Response: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 9 Optical Character Recognition: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 10 Optical Character Recognition: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 11 Pattern and Image Recognition: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 12 Pattern and Image Recognition: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 13 Auto Coding: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 14 Auto Coding: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 15 Classification and Categorization: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 16 Classification and Categorization: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 17 Text Analytics, Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 18 Text Analytics: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 19 Speech Analytics: Natural Language Processing Market Size, By Deployment Model, 2013–2020 (USD Million)
Table 20 Speech Analytics: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 21 Natural Language Processing for Healthcare and Life Sciences Industry, By Service, 2013–2020 (USD Million)
Table 22 Professional Services: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 23 Support and Maintenance Services: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 24 Natural Language Processing for Healthcare and Life Sciences Industry, By Deployment Model, 2013–2020 (USD Million)
Table 25 On-Premises Deployment Model: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 26 On-Demand Deployment Model: Natural Language Processing Market Size, By Region, 2013–2020 (USD Million)
Table 27 Overall Natural Language Processing Market Size for Healthcare and Life Sciences Industry, 2013–2020 (USD Million)
Table 28 Natural Language Processing for Healthcare and Life Sciences Industry Market Size, By Region, 2013–2020 (USD Million)
Table 29 North America: Natural Language Processing Market Size, By Type, 2013–2020 (USD Million)
Table 30 U.S.: Natural Language Processing Market Size, By Type, 2013–2020 (USD Million)
Table 31 Europe: Natural Language Processing Market Size, By Type, 2013–2020 (USD Million)
Table 32 U.K.: Natural Language Processing Market Size, By Vertical, 2013–2020 (USD Million)
Table 33 Asia-Pacific: Natural Language Processing Size, By Type, 2013–2020 (USD Million)
Table 34 Middle East and Africa: Natural Language Processing Size, By Type, 2013–2020 (USD Million)
Table 35 Latin America : Natural Language Processing Size, By Type, 2013–2020 (USD Million)
Table 36 Partnerships, Collaborations, and Agreements, 2009–2015
Table 37 New Product Launches, 2012–2015
Table 38 Acquisitions, 2012–2015
Table 39 Venture Funding , 2014-2015

List of Figures (36 Figures)

Figure 1 Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 The Evolution of Natural Language Processing
Figure 5 North America is Expected to Hold the Largest Market Share in 2015
Figure 6 Top Three Segments in the Natural Language Processing Market for Healthcare and Life Sciences Industry, 2015–2020
Figure 7 Growth Trend of Natural Language Processing Market for Healthcare and Life Sciences Industry (2015–2020)
Figure 8 Geographic Lifecycle Analysis (2015): Mea Market is Increasing With the Highest Growth Rate
Figure 9 Market Investment Scenario: Mea and La Rise as the Best Opportunity Markets for Investment in the Next Five Years
Figure 10 Natural Language Processing Market for Healthcare and Life Sciences Industry : Drivers, Restraints, Opportunitites, and Challenges
Figure 11 Rule-Based NLP is Expected to Lead the NLP Market for the Healthcare and Life Sciences Industry in 2015
Figure 12 IVR Technology is Estimated to Hold the Largest Market Size in 2015
Figure 13 Professional Services Segment Holds the Majority Market Size in 2015
Figure 14 The On-Demand Deployment Model is Estimated to Hold the Largest Market Share in 2015
Figure 15 North America is Estimated to Hold the Largest Market Share in 2015
Figure 16 Companies Adopted New Product Launches as the Key Growth Strategy Over the Period of 2010–2015
Figure 17 Microsoft and 3M Show an Increase in Revenue Between 2012 and 2014
Figure 18 Battle for Market Share: Partnerships and Collaborations are the Key Strategy
Figure 19 Geographic Revenue Mix of the Top Market Players
Figure 20 3M: Company Snapshot
Figure 21 3M : SWOT Analysis
Figure 22 IBM: Company Snapshot
Figure 23 IBM: SWOT Analysis
Figure 24 Microsoft Corporation: Company Snapshot
Figure 25 Microsoft Corporation: SWOT Analysis
Figure 26 Nuance Communication: Company Snapshot
Figure 27 Nuance Communication: SWOT Analysis
Figure 28 Cerner Corporation: Company Snapshot
Figure 29 Cerner Corporation: SWOT Analysis
Figure 30 Optum. Inc.: Company Snapshot
Figure 31 Optum, Inc.: SWOT Analysis
Figure 32 Linguamatics: Company Snapshot
Figure 33 Health Fidelity: Company Snapshot
Figure 34 Apixio: Company Snapshot
Figure 35 M*Modal : Company Snapshot
Figure 36 Dolbey System : Company Snapshot

【レポートのキーワード】

自然言語処理（NLP）、自然言語処理（NLP）技術、ヘルスケア、生命科学、対話型音声応答、光学式文字認識、オートコーディング

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