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Global Natural Language Processing Market: Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023

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Global Natural Language Processing Market-Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023

Market Overview

In the present digitized world, 80% of the data generated is unstructured. Organizations are using natural language processing technology to unravel the meaning of such data to leverage business strategies and opportunities. A myriad of unstructured data is available online in the form of audio content, visual content and social footprints. Data has now become an asset for organizations. We have arrived into an era of automation of tedious cognitive tasks in businesses. Human beings fundamentally think, communicate and understand in an unstructured manner. Majority of the workflow in business and personal domain are either entirely controlled by humans or involves a human layer that converts the real-world inputs to computer inputs. NLP is gradually becoming ubiquitous in business enterprises and it has a wide array of functions ranging from chatbots and digital assistants such as Google Home, Siri and Alexa to compliance monitoring functions, business intelligence and analytics. Queries, email communication, videos, social media, support requests, customer reviews and so on are sources of useful insights that can be used to generate significant business value.

Natural language processing (NLP), also known as computational linguistics is an amalgamation of artificial intelligence, machine learning and linguistics. NLP is one of the most leveraged technologies in artificial intelligence and the growth of the technology is being propelled by the growth of related technologies such as deep learning and cognitive computing. NLP combines artificial intelligence, computer science and computational linguistics to help machines in reading texts by simulating the human ability of understanding languages. The technology offers competitive advantage to businesses in legal, media and digital ad services. Automotive, healthcare, education and the retail sectors are extensively investing in the technology, as NLP is continuously evolving and is capable of interpreting and adapting to a wide variety of human languages. Sentiment analysis is largely used in web and social media monitoring as it gives businesses access to the opinions of end-users about the organization and its services. Useful insights about customer preferences and attitudes can be obtained from the emoticons in social media. The use cases for natural language processing is diverse, covering customer service, autonomous vehicles, healthcare, banking, financial services and insurance (BFSI), manufacturing, retail and consumer goods, media and entertainment, research, education,high tech and electronics.

Technological mainstays namely Google, IBM, Microsoft and others are making significant investment in the field of natural language processing. NLP and text analytics have a major role to play in social media sentiment analysis, business intelligence, data governance, cognitive computing and business intelligence. Text analytics is a subset of NLP and is one amongst the two analytics options that NLP offers, alongside speech analytics. NLP helps in establishing relationships in documents, carrying out search, understanding the demarcations of sentences and phrases and determining names and places through semantic technologies. In the context of text analytics, NLP helps in identifying aspects of regulatory compliance, categorization, sentiment analysis and text clustering. NLP solutions are either statistics based, rule based or a hybrid.

Market Analysis

According to Infoholic Research, the Global Natural Language Processing market is expected to grow at a CAGR of 18.78% during the forecast period 2017-2023. The market is driven by factors such as the availability of a high volume of unstructured data, enhanced utility of smart devices, increased use of NLP in call centers, increased demand for better customer experience and expansive application areas. The future potential of the market is promising owing to opportunities such as developments in big data technologies, democratization of data, smart search and the emergence of human-like virtual assistants. The market growth is curbed by restraining factors such as difficulties in bridging gaps between humans and machines, training of researchers and loss of context and meaning.

Segmentation by Offerings

The market has been segmented and analyzed by the following offerings: Software, Hardware and Services.

Segmentation by Technologies

The market has been segmented and analyzed by the following technologies: Pattern and Image Recognition, Interactive Voice Response (IVR), Optical Character Recognition (OCR), Text Analytics, Speech Analytics, Classification and Categorization, Auto Coding, Professional Services and Support and Maintenance Services.

Segmentation by Regions

The market has been segmented and analyzed by the following regions: North America, EMEA, APAC and Latin America.

Segmentation by Verticals

The market has been segmented and analyzed by the following verticals: Healthcare and Lifesciences, Retail and Consumer Goods, High Tech and Electronics, Media and Entertainment, BFSI, Manufacturing, and Research and Education.

Benefits

The study covers and analyses the Global Natural Language Processing Market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies relevant to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.

The report covers drivers, restraints, and opportunities (DRO) affecting the market growth during the forecast period (2017-2023).

It also contains an analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategies, and views.

The report covers competitive landscape, which includes M&A, joint ventures and collaborations, and competitor comparison analysis.

In the vendor profile section, for the companies that are privately held, financial information and revenue of segments will be limited.

 

READ MORE

Table Of Content

Scope

Table of Contents

1. Industry Outlook 10

1.1 Industry Overview 10

1.2 Industry Trends 11

1.3 PEST Analysis 14

2 Report Outline 14

2.1 Report Scope 14

2.2 Report Summary 15

2.3 Research Methodology 16

2.4 Report Assumptions 17

3 Market Snapshot 18

3.1 Total Addressable Market 18

3.2 Segmented Addressable Market 18

3.3 Related Markets 18

3.3.1 Machine Learning Market 18

3.3.2 Artificial Intelligence Market 19

4 Market Outlook 20

4.1 Overview 20

4.2 Regulatory Bodies and Standards 21

4.3 Porter 5 (Five) Forces 21

5 Market Characteristics 23

5.1 Use Cases of Natural Language Processing 25

5.2 Market Segmentation 27

5.3 Market Dynamics 27

5.3.1 Drivers 28

5.3.1.1 High Volume of Unstructured Data 28

5.3.1.2 Enhanced utility of smart devices 29

5.3.1.3 Increased use of NLP in customer call centres 29

5.3.1.4 Increased demand for better customer experience 29

5.3.1.5 Expanding application areas 30

5.3.2 Restraints 30

5.3.2.1 Bridging the gap between humans and machines 30

5.3.2.2 Training of researchers 30

5.3.2.3 Loss of context and meaning 30

5.3.3 Opportunities 32

5.3.3.1 Development in Big Data Technologies 32

5.3.3.2 NLP will democratize data 32

5.3.3.3 Smart Search 32

5.3.3.4 Emergence of human like virtual assistants 32

5.4 DRO-Impact Analysis 32

6 Trends, Roadmap, and Projects 33

6.1 Market Trends & Impact 33

6.2 Technology Roadmap 34

7 Geographic Segmentation: Market Size and Analysis 35

7.1 Overview 35

7.2 North America 36

7.2.1 US 38

7.2.2 Canada 38

7.3 EMEA 38

7.3.1 The UK 39

7.3.2 Germany 39

7.4 Asia Pacific 40

7.4.1 India 40

7.4.2 China 41

7.4.3 Japan 41

7.5 Latin America 42

8. Natural Language Processing Market by Offerings 43

8.1 Software Offerings 44

8.2 Hardware 45

8.3 Services 46

9. Natural Language Processing Market by Deployment Mode 47

9.1 Public 49

9.2 Private 50

9.3 Hybrid 51

10. Global Natural Language Processing Market by Technologies 51

10.1 Pattern and Image Recognition 53

10.2 Interactive Voice Response (IVR) 53

10.3 Optical Character Recognition (OCR) 54

10.4 Text Analytics 54

10.5 Speech Analytics 55

10.6 Classification and Categorization 56

10.7 Auto Coding 56

10.8 Professional Services 57

10.9 Support and Maintenance Services 58

11. Natural Language Processing Market by Verticals 59

11.1 Healthcare and Lifesciences 60

11.2 Retail and Consumer Goods 61

11.3 High Tech and Electronics 61

11.4 Media and Entertainment 62

11.5 BFSI 63

11.6 Manufacturing 63

11.7 Research and Education 64

12. Vendors Profiles 66

12.1 Microsoft Corporation 66

12.1.1 Overview 66

12.1.2 Business Units 67

12.1.3 Microsoft Corporation in Natural Language Processing 68

12.1.4 Business Focus 69

12.1.5 SWOT Analysis 70

12.1.6 Business Strategies 70

12.2 IBM Corporation 72

12.2.1 Overview 72

12.2.2 Business Units 73

12.2.3 Geographic Revenue 75

12.2.4 IBM Corporation in Natural Language Processing 75

12.2.5 Business Focus 76

12.2.6 SWOT Analysis 76

12.2.7 Business Strategies 77

12.3 Google Inc. 78

12.3.1 Overview 78

12.3.2 Business Units 79

12.3.3 Geographic Revenue 80

12.3.4 Google Inc. in Natural Language Processing 81

12.3.5 Business Focus 82

12.3.6 SWOT Analysis 82

12.3.7 Business Strategies 83

12.4 Apple Inc. 83

12.4.1 Overview 83

12.4.2 Business units 84

12.4.3 Geographic revenue 86

12.4.4 Apple in Natural Language Processing 87

12.4.5 Business focus 87

12.4.6 SWOT analysis 88

12.4.7 Business strategies 88

13 Companies to Watch for 92

13.1 Addstructure 92

13.1.1 Overview 92

13.1.2 Addstructure Offerings 92

13.2 Angel.ai 92

13.2.1 Overview 92

13.2.2 Angel.ai Offerings 93

13.3 Klevu Oy 93

13.3.1 Overview 93

13.3.2 Klevu Offerings 93

13.4 Twiggle 93

13.4.1 Overview 93

13.4.2 Twiggle Offerings 94

13.5 Dialogflow (Formerly known as Api.ai) 94

13.5.1 Overview 94

13.5.2 Dialogflow Offerings 95

13.6 Mindmeld (Acquired by Cisco) 95

13.6.1 Overview 95

13.6.2 Mindmeld Offerings 95

13.7 DigitalGenius 96

13.7.1 Overview 96

13.7.2 DigitalGenius Offerings 96

13.8 Inbenta 96

13.8.1 Overview 96

13.8.2 Inbenta Offerings 97

13.9 Satisfi Labs Inc. 97

13.9.1 Overview 97

13.9.2 Satisfi Labs Inc. Offerings 97

13.10 NetBase 97

13.10.1 Overview 97

13.10.2 NetBase Offerings 98

Annexure 99

Abbreviations 99

 


List Of Figure

Charts

 

CHART 1 PEST ANALYSIS OF GLOBAL NATURAL LANGUAGE PROCESSING MARKET 14

CHART 2 RESEARCH METHODOLOGY OF NATURAL LANGUAGE PROCESSING MARKET 16

CHART 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE, 2017-2023 (USD BILLION) 18

CHART 4 PORTER 5 FORCES ON GLOBAL NATURAL LANGUAGE PROCESSING MARKET 21

CHART 5 GLOBAL NATURAL LANGUAGE PROCESSING MARKET SEGMENTATION 27

CHART 6 MARKET DYNAMICS-DRIVERS, RESTRAINTS & OPPORTUNITIES 27

CHART 7 DRO-IMPACT ANALYSIS OF GLOBAL NATURAL LANGUAGE PROCESSING MARKET 32

CHART 8 TECHNOLOGY ROADMAP FOR GLOBAL NATURAL LANGUAGE PROCESSING MARKET 34

CHART 9 GLOBAL NATURAL LANGUAGE PROCESSING MARKET SHARE BY GEOGRAPHIES, 2017 AND 2023 36

CHART 10 NATURAL LANGUAGE MARKET REVENUE IN NORTH AMERICA, 2017-2023 (USD BILLION) 38

CHART 11 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE IN EMEA, 2017-2023 (USD BILLION) 39

CHART 12 NATURAL LANGUAGE PROCESSING MARKET REVENUE IN ASIA PACIFIC, 2017-2023 (USD BILLION) 41

CHART 13 NATURAL LANGUAGE PROCESSING MARKET REVENUE IN LATIN AMERICA, 2017-2023 (USD BILLION) 42

CHART 14 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OFFERINGS (USD MILLION) 43

CHART 15 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SOFTWARE OFFERINGS (USD BILLION) 45

CHART 16 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HARDWARE OFFERINGS (USD BILLION) 45

CHART 17 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SERVICES OFFERINGS (USD BILLION) 46

CHART 18 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY DEPOLOYMENT MODES (USD BILLION) 47

CHART 19 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PUBLIC DEPLOYMENT MODE (USD BILLION) 50

CHART 20 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PRIVATE DEPLOYMENT MODE (USD BILLION) 50

CHART 21 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HYBRID DEPLOYMENT MODE (USD BILLION) 51

CHART 22 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 51

CHART 23 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PATTERN AND IMAGE RECOGNITION, 2017-2023 (USD BILLION) 53

CHART 24 GLOBAL NATURAL LANGUAGE MARKET REVENUE BY INTERACTIVE VOICE RESPONSE, 2017-2023 (USD BILLION) 53

CHART 25 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OPTICAL CHARACTER RECOGNITION, 2017-2023 (USD BILLION) 54

CHART 26 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY TEXT ANALYTICS, 2017-2023 (USD BILLION) 54

CHART 27 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SPEECH ANALYTICS, 2017-2023 (USD BILLION) 55

CHART 28 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY CLASSFICATION AND CATEGORIZATION, 2017-2023 (USD BILLION) 56

CHART 29 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY AUTO CODING, 2017-2023 (USD BILLION) 56

CHART 30 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PROFESSIONAL SERVICES, 2017-2023 (USD BILLION) 57

CHART 31 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SUPPORT AND MAINTENANCE SERVICES, 2017-2023 (USD BILLION) 58

CHART 32 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY VERTICALS, 2017-2023 (USD BILLION) 60

CHART 33 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HEALTHCARE AND LIFESCIENCES, 2017-2023 (USD BILLION) 60

CHART 34 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY RETAIL AND CONSUMER GOODS, 2017-2023 (USD BILLION) 61

CHART 35 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HIGH TECH AND ELECTRONICS, 2017-2023 (USD BILLION) 61

CHART 36 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY MEDIA AND ENTERTAINMENT, 2017-2023 (USD BILLION) 62

CHART 37 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY BFSI, 2017-2023 (USD BILLION) 63

CHART 38 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY MANUFACTURING, 2017-2023 (USD BILLION) 63

CHART 39 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY RESEARCH AND EDUCATION, 2017-2023 (USD BILLION) 64

CHART 40 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT 66

CHART 41 MICROSOFT CORPORATION: BUSINESS UNITS 68

CHART 42 MICROSOFT CORPORATION: SWOT ANALYSIS 70

CHART 43 IBM CORPORATION: OVERVIEW SNAPSHOT 72

CHART 44 IBM CORPORATION: BUSINESS UNITS 74

CHART 45 IBM CORPORATION: GEOGRAPHIC REVENUE 75

CHART 46 IBM CORPORATION: SWOT ANALYSIS 76

CHART 47 GOOGLE INC.: OVERVIEW SNAPSHOT 78

CHART 48 GOOGLE INC.: BUSINESS UNITS 79

CHART 49 GOOGLE INC.: GEOGRAPHIC REVENUE 80

CHART 50 GOOGLE INC.: SWOT ANALYSIS 82

CHART 51 APPLE INC.: OVERVIEW SNAPSHOT 83

CHART 52 APPLE INC.: BUSINESS UNITS 85

CHART 53 APPLE INC.: GEOGRAPHIC REVENUE 86

CHART 54 APPLE INC.: SWOT ANALYSIS 88

 


List Of Table

Tables

 

TABLE 1 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY REGIONS, 2017-2023 (USD BILLION) 36

TABLE 2 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OFFERINGS, 2017-2023 (USD BILLION) 43

TABLE 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY DEPLOYMENT MODE, 2017-2023 (USD BILLION) 47

TABLE 4 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY TECHNOLOGIES, 2017-2023 (USD BILLION) 52

TABLE 5 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY VERTICALS, 2017-2023 (USD BILLION) 59

 

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Products and Companies


Companies

Microsoft Corporation,IBM Corporation,Google Inc.Apple Inc.,Addstructure, Angel.ai, Klevu Oy,Twiggle, Dialogflow (Formerly known as Api.ai), Mindmeld (Acquired by Cisco), DigitalGenius, inbenta, Satisfi Labs Inc. NetBase

Global Natural Language Processing Market-Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023

Market Overview

In the present digitized world, 80% of the data generated is unstructured. Organizations are using natural language processing technology to unravel the meaning of such data to leverage business strategies and opportunities. A myriad of unstructured data is available online in the form of audio content, visual content and social footprints. Data has now become an asset for organizations. We have arrived into an era of automation of tedious cognitive tasks in businesses. Human beings fundamentally think, communicate and understand in an unstructured manner. Majority of the workflow in business and personal domain are either entirely controlled by humans or involves a human layer that converts the real-world inputs to computer inputs. NLP is gradually becoming ubiquitous in business enterprises and it has a wide array of functions ranging from chatbots and digital assistants such as Google Home, Siri and Alexa to compliance monitoring functions, business intelligence and analytics. Queries, email communication, videos, social media, support requests, customer reviews and so on are sources of useful insights that can be used to generate significant business value.

Natural language processing (NLP), also known as computational linguistics is an amalgamation of artificial intelligence, machine learning and linguistics. NLP is one of the most leveraged technologies in artificial intelligence and the growth of the technology is being propelled by the growth of related technologies such as deep learning and cognitive computing. NLP combines artificial intelligence, computer science and computational linguistics to help machines in reading texts by simulating the human ability of understanding languages. The technology offers competitive advantage to businesses in legal, media and digital ad services. Automotive, healthcare, education and the retail sectors are extensively investing in the technology, as NLP is continuously evolving and is capable of interpreting and adapting to a wide variety of human languages. Sentiment analysis is largely used in web and social media monitoring as it gives businesses access to the opinions of end-users about the organization and its services. Useful insights about customer preferences and attitudes can be obtained from the emoticons in social media. The use cases for natural language processing is diverse, covering customer service, autonomous vehicles, healthcare, banking, financial services and insurance (BFSI), manufacturing, retail and consumer goods, media and entertainment, research, education,high tech and electronics.

Technological mainstays namely Google, IBM, Microsoft and others are making significant investment in the field of natural language processing. NLP and text analytics have a major role to play in social media sentiment analysis, business intelligence, data governance, cognitive computing and business intelligence. Text analytics is a subset of NLP and is one amongst the two analytics options that NLP offers, alongside speech analytics. NLP helps in establishing relationships in documents, carrying out search, understanding the demarcations of sentences and phrases and determining names and places through semantic technologies. In the context of text analytics, NLP helps in identifying aspects of regulatory compliance, categorization, sentiment analysis and text clustering. NLP solutions are either statistics based, rule based or a hybrid.

Market Analysis

According to Infoholic Research, the Global Natural Language Processing market is expected to grow at a CAGR of 18.78% during the forecast period 2017-2023. The market is driven by factors such as the availability of a high volume of unstructured data, enhanced utility of smart devices, increased use of NLP in call centers, increased demand for better customer experience and expansive application areas. The future potential of the market is promising owing to opportunities such as developments in big data technologies, democratization of data, smart search and the emergence of human-like virtual assistants. The market growth is curbed by restraining factors such as difficulties in bridging gaps between humans and machines, training of researchers and loss of context and meaning.

Segmentation by Offerings

The market has been segmented and analyzed by the following offerings: Software, Hardware and Services.

Segmentation by Technologies

The market has been segmented and analyzed by the following technologies: Pattern and Image Recognition, Interactive Voice Response (IVR), Optical Character Recognition (OCR), Text Analytics, Speech Analytics, Classification and Categorization, Auto Coding, Professional Services and Support and Maintenance Services.

Segmentation by Regions

The market has been segmented and analyzed by the following regions: North America, EMEA, APAC and Latin America.

Segmentation by Verticals

The market has been segmented and analyzed by the following verticals: Healthcare and Lifesciences, Retail and Consumer Goods, High Tech and Electronics, Media and Entertainment, BFSI, Manufacturing, and Research and Education.

Benefits

The study covers and analyses the Global Natural Language Processing Market. Bringing out the complete key insights of the industry, the report aims to provide an opportunity for players to understand the latest trends, current market scenario, government initiatives, and technologies relevant to the market. In addition, it helps the venture capitalists in understanding the companies better and take informed decisions.

The report covers drivers, restraints, and opportunities (DRO) affecting the market growth during the forecast period (2017-2023).

It also contains an analysis of vendor profiles, which include financial health, business units, key business priorities, SWOT, strategies, and views.

The report covers competitive landscape, which includes M&A, joint ventures and collaborations, and competitor comparison analysis.

In the vendor profile section, for the companies that are privately held, financial information and revenue of segments will be limited.

 

READ MORE

Scope

Table of Contents

1. Industry Outlook 10

1.1 Industry Overview 10

1.2 Industry Trends 11

1.3 PEST Analysis 14

2 Report Outline 14

2.1 Report Scope 14

2.2 Report Summary 15

2.3 Research Methodology 16

2.4 Report Assumptions 17

3 Market Snapshot 18

3.1 Total Addressable Market 18

3.2 Segmented Addressable Market 18

3.3 Related Markets 18

3.3.1 Machine Learning Market 18

3.3.2 Artificial Intelligence Market 19

4 Market Outlook 20

4.1 Overview 20

4.2 Regulatory Bodies and Standards 21

4.3 Porter 5 (Five) Forces 21

5 Market Characteristics 23

5.1 Use Cases of Natural Language Processing 25

5.2 Market Segmentation 27

5.3 Market Dynamics 27

5.3.1 Drivers 28

5.3.1.1 High Volume of Unstructured Data 28

5.3.1.2 Enhanced utility of smart devices 29

5.3.1.3 Increased use of NLP in customer call centres 29

5.3.1.4 Increased demand for better customer experience 29

5.3.1.5 Expanding application areas 30

5.3.2 Restraints 30

5.3.2.1 Bridging the gap between humans and machines 30

5.3.2.2 Training of researchers 30

5.3.2.3 Loss of context and meaning 30

5.3.3 Opportunities 32

5.3.3.1 Development in Big Data Technologies 32

5.3.3.2 NLP will democratize data 32

5.3.3.3 Smart Search 32

5.3.3.4 Emergence of human like virtual assistants 32

5.4 DRO-Impact Analysis 32

6 Trends, Roadmap, and Projects 33

6.1 Market Trends & Impact 33

6.2 Technology Roadmap 34

7 Geographic Segmentation: Market Size and Analysis 35

7.1 Overview 35

7.2 North America 36

7.2.1 US 38

7.2.2 Canada 38

7.3 EMEA 38

7.3.1 The UK 39

7.3.2 Germany 39

7.4 Asia Pacific 40

7.4.1 India 40

7.4.2 China 41

7.4.3 Japan 41

7.5 Latin America 42

8. Natural Language Processing Market by Offerings 43

8.1 Software Offerings 44

8.2 Hardware 45

8.3 Services 46

9. Natural Language Processing Market by Deployment Mode 47

9.1 Public 49

9.2 Private 50

9.3 Hybrid 51

10. Global Natural Language Processing Market by Technologies 51

10.1 Pattern and Image Recognition 53

10.2 Interactive Voice Response (IVR) 53

10.3 Optical Character Recognition (OCR) 54

10.4 Text Analytics 54

10.5 Speech Analytics 55

10.6 Classification and Categorization 56

10.7 Auto Coding 56

10.8 Professional Services 57

10.9 Support and Maintenance Services 58

11. Natural Language Processing Market by Verticals 59

11.1 Healthcare and Lifesciences 60

11.2 Retail and Consumer Goods 61

11.3 High Tech and Electronics 61

11.4 Media and Entertainment 62

11.5 BFSI 63

11.6 Manufacturing 63

11.7 Research and Education 64

12. Vendors Profiles 66

12.1 Microsoft Corporation 66

12.1.1 Overview 66

12.1.2 Business Units 67

12.1.3 Microsoft Corporation in Natural Language Processing 68

12.1.4 Business Focus 69

12.1.5 SWOT Analysis 70

12.1.6 Business Strategies 70

12.2 IBM Corporation 72

12.2.1 Overview 72

12.2.2 Business Units 73

12.2.3 Geographic Revenue 75

12.2.4 IBM Corporation in Natural Language Processing 75

12.2.5 Business Focus 76

12.2.6 SWOT Analysis 76

12.2.7 Business Strategies 77

12.3 Google Inc. 78

12.3.1 Overview 78

12.3.2 Business Units 79

12.3.3 Geographic Revenue 80

12.3.4 Google Inc. in Natural Language Processing 81

12.3.5 Business Focus 82

12.3.6 SWOT Analysis 82

12.3.7 Business Strategies 83

12.4 Apple Inc. 83

12.4.1 Overview 83

12.4.2 Business units 84

12.4.3 Geographic revenue 86

12.4.4 Apple in Natural Language Processing 87

12.4.5 Business focus 87

12.4.6 SWOT analysis 88

12.4.7 Business strategies 88

13 Companies to Watch for 92

13.1 Addstructure 92

13.1.1 Overview 92

13.1.2 Addstructure Offerings 92

13.2 Angel.ai 92

13.2.1 Overview 92

13.2.2 Angel.ai Offerings 93

13.3 Klevu Oy 93

13.3.1 Overview 93

13.3.2 Klevu Offerings 93

13.4 Twiggle 93

13.4.1 Overview 93

13.4.2 Twiggle Offerings 94

13.5 Dialogflow (Formerly known as Api.ai) 94

13.5.1 Overview 94

13.5.2 Dialogflow Offerings 95

13.6 Mindmeld (Acquired by Cisco) 95

13.6.1 Overview 95

13.6.2 Mindmeld Offerings 95

13.7 DigitalGenius 96

13.7.1 Overview 96

13.7.2 DigitalGenius Offerings 96

13.8 Inbenta 96

13.8.1 Overview 96

13.8.2 Inbenta Offerings 97

13.9 Satisfi Labs Inc. 97

13.9.1 Overview 97

13.9.2 Satisfi Labs Inc. Offerings 97

13.10 NetBase 97

13.10.1 Overview 97

13.10.2 NetBase Offerings 98

Annexure 99

Abbreviations 99

 


List Of Figure

Charts

 

CHART 1 PEST ANALYSIS OF GLOBAL NATURAL LANGUAGE PROCESSING MARKET 14

CHART 2 RESEARCH METHODOLOGY OF NATURAL LANGUAGE PROCESSING MARKET 16

CHART 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE, 2017-2023 (USD BILLION) 18

CHART 4 PORTER 5 FORCES ON GLOBAL NATURAL LANGUAGE PROCESSING MARKET 21

CHART 5 GLOBAL NATURAL LANGUAGE PROCESSING MARKET SEGMENTATION 27

CHART 6 MARKET DYNAMICS-DRIVERS, RESTRAINTS & OPPORTUNITIES 27

CHART 7 DRO-IMPACT ANALYSIS OF GLOBAL NATURAL LANGUAGE PROCESSING MARKET 32

CHART 8 TECHNOLOGY ROADMAP FOR GLOBAL NATURAL LANGUAGE PROCESSING MARKET 34

CHART 9 GLOBAL NATURAL LANGUAGE PROCESSING MARKET SHARE BY GEOGRAPHIES, 2017 AND 2023 36

CHART 10 NATURAL LANGUAGE MARKET REVENUE IN NORTH AMERICA, 2017-2023 (USD BILLION) 38

CHART 11 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE IN EMEA, 2017-2023 (USD BILLION) 39

CHART 12 NATURAL LANGUAGE PROCESSING MARKET REVENUE IN ASIA PACIFIC, 2017-2023 (USD BILLION) 41

CHART 13 NATURAL LANGUAGE PROCESSING MARKET REVENUE IN LATIN AMERICA, 2017-2023 (USD BILLION) 42

CHART 14 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OFFERINGS (USD MILLION) 43

CHART 15 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SOFTWARE OFFERINGS (USD BILLION) 45

CHART 16 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HARDWARE OFFERINGS (USD BILLION) 45

CHART 17 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SERVICES OFFERINGS (USD BILLION) 46

CHART 18 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY DEPOLOYMENT MODES (USD BILLION) 47

CHART 19 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PUBLIC DEPLOYMENT MODE (USD BILLION) 50

CHART 20 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PRIVATE DEPLOYMENT MODE (USD BILLION) 50

CHART 21 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HYBRID DEPLOYMENT MODE (USD BILLION) 51

CHART 22 NATURAL LANGUAGE PROCESSING MARKET REVENUE BY APPLICATIONS, 2017-2023 (USD BILLION) 51

CHART 23 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PATTERN AND IMAGE RECOGNITION, 2017-2023 (USD BILLION) 53

CHART 24 GLOBAL NATURAL LANGUAGE MARKET REVENUE BY INTERACTIVE VOICE RESPONSE, 2017-2023 (USD BILLION) 53

CHART 25 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OPTICAL CHARACTER RECOGNITION, 2017-2023 (USD BILLION) 54

CHART 26 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY TEXT ANALYTICS, 2017-2023 (USD BILLION) 54

CHART 27 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SPEECH ANALYTICS, 2017-2023 (USD BILLION) 55

CHART 28 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY CLASSFICATION AND CATEGORIZATION, 2017-2023 (USD BILLION) 56

CHART 29 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY AUTO CODING, 2017-2023 (USD BILLION) 56

CHART 30 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY PROFESSIONAL SERVICES, 2017-2023 (USD BILLION) 57

CHART 31 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY SUPPORT AND MAINTENANCE SERVICES, 2017-2023 (USD BILLION) 58

CHART 32 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY VERTICALS, 2017-2023 (USD BILLION) 60

CHART 33 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HEALTHCARE AND LIFESCIENCES, 2017-2023 (USD BILLION) 60

CHART 34 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY RETAIL AND CONSUMER GOODS, 2017-2023 (USD BILLION) 61

CHART 35 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY HIGH TECH AND ELECTRONICS, 2017-2023 (USD BILLION) 61

CHART 36 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY MEDIA AND ENTERTAINMENT, 2017-2023 (USD BILLION) 62

CHART 37 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY BFSI, 2017-2023 (USD BILLION) 63

CHART 38 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY MANUFACTURING, 2017-2023 (USD BILLION) 63

CHART 39 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY RESEARCH AND EDUCATION, 2017-2023 (USD BILLION) 64

CHART 40 MICROSOFT CORPORATION: OVERVIEW SNAPSHOT 66

CHART 41 MICROSOFT CORPORATION: BUSINESS UNITS 68

CHART 42 MICROSOFT CORPORATION: SWOT ANALYSIS 70

CHART 43 IBM CORPORATION: OVERVIEW SNAPSHOT 72

CHART 44 IBM CORPORATION: BUSINESS UNITS 74

CHART 45 IBM CORPORATION: GEOGRAPHIC REVENUE 75

CHART 46 IBM CORPORATION: SWOT ANALYSIS 76

CHART 47 GOOGLE INC.: OVERVIEW SNAPSHOT 78

CHART 48 GOOGLE INC.: BUSINESS UNITS 79

CHART 49 GOOGLE INC.: GEOGRAPHIC REVENUE 80

CHART 50 GOOGLE INC.: SWOT ANALYSIS 82

CHART 51 APPLE INC.: OVERVIEW SNAPSHOT 83

CHART 52 APPLE INC.: BUSINESS UNITS 85

CHART 53 APPLE INC.: GEOGRAPHIC REVENUE 86

CHART 54 APPLE INC.: SWOT ANALYSIS 88

 


List Of Table

Tables

 

TABLE 1 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY REGIONS, 2017-2023 (USD BILLION) 36

TABLE 2 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY OFFERINGS, 2017-2023 (USD BILLION) 43

TABLE 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY DEPLOYMENT MODE, 2017-2023 (USD BILLION) 47

TABLE 4 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY TECHNOLOGIES, 2017-2023 (USD BILLION) 52

TABLE 5 GLOBAL NATURAL LANGUAGE PROCESSING MARKET REVENUE BY VERTICALS, 2017-2023 (USD BILLION) 59

 

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