“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.
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“TABLE OF CONTENTS
1 INTRODUCTION 13
1.1 OBJECTIVES OF THE STUDY 13
1.2 MARKET DEFINITION 13
1.3 MARKET SCOPE 13
1.3.1 MARKETS COVERED 14
1.3.2 YEARS CONSIDERED 14
1.4 CURRENCY 15
1.5 LIMITATION 15
1.6 STAKEHOLDERS 15
2 RESEARCH METHODOLOGY 16
2.1 RESEARCH DATA 16
2.1.1 SECONDARY DATA 17
2.1.1.1 Key data from secondary sources 17
2.1.2 PRIMARY DATA 18
2.1.2.1 Key data from primary sources 18
2.1.2.2 Breakdown of primaries 19
2.2 MARKET SIZE ESTIMATION 19
2.2.1 BOTTOM-UP APPROACH 20
2.2.2 TOP-DOWN APPROACH 20
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 22
2.4 ASSUMPTIONS 23
3 EXECUTIVE SUMMARY 24
4 PREMIUM INSIGHTS 26
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY 26
4.2 LIFECYCLE ANALYSIS, BY REGION 27
4.3 MARKET INVESTMENT SCENARIO 28
5 MARKET OVERVIEW 29
5.1 INTRODUCTION 29
5.2 EVOLUTION 29
5.3 MARKET SEGMENTATION 30
5.4 MARKET DYNAMICS 30
5.4.1 DRIVERS 31
5.4.1.1 Explosive growth of data 31
5.4.1.2 Increasing utilization of the internet 31
5.4.1.3 Increase in the use of connected devices 32
5.4.2 RESTRAINTS 32
5.4.2.1 Lack in collaborative adoption lack of awareness 32
5.4.2.2 Governmental regulations 32
5.4.3 OPPORTUNITIES 32
5.4.3.1 Growing need for “personalized medicine” 32
5.4.3.2 Need to raise disease awareness 32
5.4.4 CHALLENGES 33
5.4.4.1 Ambiguity in the medical terms 33
5.4.4.2 Multilingual patients 33
6 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY TYPE 34
6.1 INTRODUCTION 35
6.2 RULE-BASED NLP 36
6.3 STATISTICAL NLP 37
6.4 HYBRID NLP 38
7 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY TECHNOLOGY 39
7.1 INTRODUCTION 40
7.2 INTERACTIVE VOICE RESPONSE 41
7.3 OPTICAL CHARACTER RECOGNITION 42
7.4 PATTERN AND IMAGE RECOGNITION 43
7.5 AUTO CODING 44
7.6 CLASSIFICATION AND CATEGORIZATION 45
7.7 TEXT ANALYTICS 46
7.8 SPEECH ANALYTICS 47
8 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY SERVICE 49
8.1 INTRODUCTION 50
8.2 PROFESSIONAL SERVICES 51
8.3 SUPPORT AND MAINTENANCE SERVICES 52
9 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY DEPLOYMENT MODEL 53
9.1 INTRODUCTION 54
9.2 ON-PREMISES 55
9.3 ON-DEMAND 56
10 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, CASE STUDY 57
10.1 INTRODUCTION 57
10.2 HEALTHCARE AND LIFE SCIENCES 57
10.3 MARKET PROBLEM (CASE STUDY) 58
10.3.1 INTRODUCTION 58
10.3.2 PROBLEM STATEMENT 1 58
10.3.3 SOLUTION 1 58
10.3.4 PROBLEM STATEMENT 2 58
10.3.5 SOLUTION 2 58
10.3.6 PROBLEM STATEMENT 3 58
10.3.7 SOLUTION 3 58
11 GEOGRAPHIC ANALYSIS 59
11.1 INTRODUCTION 60
11.2 NORTH AMERICA 62
11.2.1 U.S. 63
11.3 EUROPE 64
11.3.1 U.K. 65
11.4 ASIA-PACIFIC 66
11.5 MIDDLE EAST AND AFRICA 66
11.6 LATIN AMERICA 67
12 COMPETITIVE LANDSCAPE 68
12.1 OVERVIEW 68
12.2 COMPETITIVE SITUATION AND TRENDS 69
12.2.1 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS 70
12.2.2 NEW PRODUCT LAUNCHES 73
12.2.3 ACQUISITIONS 74
12.2.4 VENTURE FUNDING 75
13 COMPANY PROFILES 76
13.1 INTRODUCTION 76
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 3M 77
13.3 INTERNATIONAL BUSINESS MACHINES CORPORATION 80
13.4 MICROSOFT CORPORATION 83
13.5 NUANCE COMMUNICATION INC. 85
13.6 CERNER CORPORATION 88
13.7 OPTUM, INC. 90
13.8 LINGUAMATICS 93
13.9 HEALTH FIDELITY 95
13.10 APIXIO 97
13.11 MMODAL IP LLC 98
13.12 DOLBEY SYSTEMS 100
13.13 CLINITHINK INC. 101
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 APPENDIX 103
14.1 INSIGHTS OF INDUSTRY EXPERTS 103
14.2 DISCUSSION GUIDE 104
14.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 106
14.4 AVAILABLE CUSTOMIZATIONS 108
14.5 RELATED REPORTS 109
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“LIST OF TABLES
TABLE 1 NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE,
2013–2020 (USD MILLION) 35
TABLE 2 RULE-BASED NLP: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY REGION, 2013–2020 (USD MILLION) 36
TABLE 3 STATISTICAL NLP: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY REGION, 2013–2020 (USD MILLION) 37
TABLE 4 HYBRID NLP: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 38
TABLE 5 NATURAL LANGUAGE PREOCESSING FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY TECHNOLOGY, 2013–2020 (USD MILLION) 40
TABLE 6 INTERACTIVE VOICE RESPONSE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 41
TABLE 7 INTERACTIVE VOICE RESPONSE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 42
TABLE 8 OPTICAL CHARACTER RECOGNITION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 42
TABLE 9 OPTICAL CHARACTER RECOGNITION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 43
TABLE 10 PATTERN AND IMAGE RECOGNITION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 43
TABLE 11 PATTERN AND IMAGE RECOGNITION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 44
TABLE 12 AUTO CODING: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 44
TABLE 13 AUTO CODING: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 45
TABLE 14 CLASSIFICATION AND CATEGORIZATION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 45
TABLE 15 CLASSIFICATION AND CATEGORIZATION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 46
TABLE 16 TEXT ANALYTICS: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 46
TABLE 17 TEXT ANALYTICS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 47
TABLE 18 SPEECH ANALYTICS: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 47
TABLE 19 SPEECH ANALYTICS: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY REGION, 2013–2020 (USD MILLION) 48
TABLE 20 NATURAL LANGUAGE PROCESSING FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY SERVICE, 2013–2020 (USD MILLION) 50
TABLE 21 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET SIZE,
BY REGION, 2013–2020 (USD MILLION) 51
TABLE 22 SUPPORT AND MAINTENANCE SERVICES: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 52
TABLE 23 NATURAL LANGUAGE PROCESSING FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, BY DEPLOYMENT MODEL, 2013–2020 (USD MILLION) 54
TABLE 24 ON-PREMISES DEPLOYMENT MODEL: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 55
TABLE 25 ON-DEMAND DEPLOYMENT MODEL: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 56
TABLE 26 OVERALL NATURAL LANGUAGE PROCESSING MARKET SIZE FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, 2013–2020 (USD MILLION) 57
TABLE 27 NATURAL LANGUAGE PROCESSING FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY MARKET SIZE, BY REGION, 2013–2020 (USD MILLION) 60
TABLE 28 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2013–2020 (USD MILLION) 63
TABLE 29 U.S.: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE,
2013–2020 (USD MILLION) 63
TABLE 30 EUROPE: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE,
2013–2020 (USD MILLION) 65
TABLE 31 U.K.: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY VERTICAL,
2013–2020 (USD MILLION) 65
TABLE 32 ASIA-PACIFIC: NATURAL LANGUAGE PROCESSING SIZE, BY TYPE,
2013–2020 (USD MILLION) 66
TABLE 33 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING SIZE, BY TYPE,
2013–2020 (USD MILLION) 66
TABLE 34 LATIN AMERICA : NATURAL LANGUAGE PROCESSING SIZE, BY TYPE,
2013–2020 (USD MILLION) 67
TABLE 35 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2009–2015 70
TABLE 36 NEW PRODUCT LAUNCHES, 2012–2015 73
TABLE 37 ACQUISITIONS, 2012–2015 74
TABLE 38 VENTURE FUNDING , 2014-2015 75
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“LIST OF FIGURES
FIGURE 1 RESEARCH DESIGN 16
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 20
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 20
FIGURE 4 DATA TRIANGULATION 22
FIGURE 5 GLOBAL NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES: ASSUMPTIONS 23
FIGURE 6 THE EVOLUTION OF NATURAL LANGUAGE PROCESSING 24
FIGURE 7 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN 2015 25
FIGURE 8 TOP THREE SEGMENTS IN THE NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY, 2015–2020 25
FIGURE 9 GROWTH TREND OF NATURAL LANGUAGE PROCESSING MARKET FOR THE HEALTHCARE AND LIFE SCIENCES INDUSTRY (2015–2020) 26
FIGURE 10 NATURAL LANGUAGE PROCESSING MARKET FOR THE HEALTHCARE AND LIFE SCIENCES INDUSTRY: MARKET SHARE OF TOP THREE TYPES OF SOLUTIONS AND TECHNOLOGIES 26
FIGURE 11 GEOGRAPHIC LIFECYCLE ANALYSIS (2015): MIDDLE EAST AND AFRICA IS EXPECTED TO GROW AT THE HIGHEST RATE 27
FIGURE 12 MARKET INVESTMENT SCENARIO: MIDDLE EAST AND AFRICA AND LATIN AMERICA TO RISE AS THE BEST OPPORTUNITY MARKETS FOR INVESTMENT IN DURING THE FORECAST PERIOD 28
FIGURE 13 EVOLUTION OF NATURAL LANGUAGE PROCESSING 29
FIGURE 14 MARKET SEGMENTATION OF NLP FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY 30
FIGURE 15 NATURAL LANGUAGE PROCESSING MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY : DRIVERS, RESTRAINTS, OPPORTUNITITES, AND CHALLENGES 31
FIGURE 16 RULE-BASED NLP IS EXPECTED TO LEAD THE NLP MARKET FOR THE HEALTHCARE AND LIFE SCIENCES INDUSTRY IN 2015 35
FIGURE 17 IVR TECHNOLOGY IS ESTIMATED TO HOLD THE LARGEST MARKET SIZE IN 2015 41
FIGURE 18 PROFESSIONAL SERVICES TO HAVE THE LARGEST MARKET SIZE IN 2015 50
FIGURE 19 THE ON-DEMAND DEPLOYMENT MODEL IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE IN 2015 54
FIGURE 20 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE WHILE MIDDLE EAST AND AFRICA IS EXPECTED TO GROW AT THE HIGHEST CAGR 60
FIGURE 21 NORTH AMERICA IS ESTIMATED TO HOLD THE LARGEST MARKET SHARE IN 2015 61
FIGURE 22 NORTH AMERICA NLP MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY EVALUATION 62
FIGURE 23 EUROPE NLP MARKET FOR HEALTHCARE AND LIFE SCIENCES INDUSTRY EVALUATION 64
FIGURE 24 COMPANIES ADOPTED PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS AS THE KEY GROWTH STRATEGY DURING 2009–2015 68
FIGURE 25 MICROSOFT AND 3M REGISTERED AN INCREASE IN REVENUE BETWEEN 2012 AND 2014 69
FIGURE 26 BATTLE FOR MARKET SHARE: PARTNERSHIPS, AGREEMENT AND COLLABORATIONS ARE THE KEY STRATEGY 69
FIGURE 27 GEOGRAPHIC REVENUE MIX OF THE TOP MARKET PLAYERS 76
FIGURE 28 3M: COMPANY SNAPSHOT 77
FIGURE 29 3M : SWOT ANALYSIS 79
FIGURE 30 IBM: COMPANY SNAPSHOT 80
FIGURE 31 IBM: SWOT ANALYSIS 82
FIGURE 32 MICROSOFT CORPORATION: COMPANY SNAPSHOT 83
FIGURE 33 MICROSOFT CORPORATION: SWOT ANALYSIS 84
FIGURE 34 NUANCE COMMUNICATION: COMPANY SNAPSHOT 85
FIGURE 35 NUANCE COMMUNICATION: SWOT ANALYSIS 87
FIGURE 36 CERNER CORPORATION: COMPANY SNAPSHOT 88
FIGURE 37 CERNER CORPORATION: SWOT ANALYSIS 89
FIGURE 38 OPTUM, INC.: COMPANY SNAPSHOT 90
FIGURE 39 OPTUM, INC.: SWOT ANALYSIS 92
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