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Natural Language Processing Market by Type (Rule-Based, Statistical, and Hybrid), Technologies (Recognition, IVR, OCR, Pattern & Image Recognition) - Worldwide Forecast to 2020

  • ID: 3281024
  • June 2015
  • Region: Global
  • 141 Pages
  • Markets and Markets

FEATURED COMPANIES

  • 3M
  • Apple
  • Dolbey Systems
  • Google
  • Hewlett-Packard
  • IBM Corporation
  • MORE

Natural Language Processing (NLP) solutions have become very significant for many business operations. It works to provide human to machine interaction by analyzing the spoken and written languages and comprehending the pattern accordingly. The advent of smartphones and the leverage of big data have given rise to huge amount of data. Maintaining the business database manually has become outdated. In order to extract important data from these text corpus business organization are looking for the solutions which will provide a real-time access to the important information and the voice of customers in order to enhance their business operations. NLP techniques enable the computer to perform various tasks. A few of these applications include machine translation, information extraction, report generation, question answering among various others. The report basically emphasizes on the overall NLP market in various verticals across the globe.

The Natural Language Processing market is basically segmented on the basis of types, technologies, services, deployment models, applications, verticals, and regions.

The adoption rate of NLP solutions across the huge plethora of industry READ MORE >

Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • 3M
  • Apple
  • Dolbey Systems
  • Google
  • Hewlett-Packard
  • IBM Corporation
  • MORE

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years
1.4 Currency
1.5 Limitation
1.6 Stakeholders

2 Research Methodology
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 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.3 Market Breakdown and Data Triangulation
2.3.1 Assumptions

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in Natural Language Processing Market
4.2 Natural Language Processing Market: Market Share of Types and Verticals
4.3 Lifecycle Analysis, By Region
4.4 Market Investment Scenario
4.5 Product Growth Matrix
4.6 Regional Adoption Scenario

5 Market Overview
5.1 Introduction
5.2 Market Segmentation
5.2.1 Market By Type
5.2.2 Market By Service
5.2.3 Market By Deployment Model
5.2.4 Market By Vertical
5.2.5 Market By Region
5.3 Market Dynamics
5.3.1 Drivers
5.3.1.1 Growing Demand for Enhanced Customer Experience
5.3.1.2 Massive Rise in Data
5.3.1.3 Increase in the Utility of Smart Devices
5.3.2 Restraints
5.3.2.1 Customer Adoption Trends
5.3.2.2 Governmental Regulations
5.3.3 Opportunities
5.3.3.1 Emerging Application Areas
5.3.3.2 Increasing Investments in the Healthcare Industry
5.3.4 Challenges
5.3.4.1 Bridging the Gap Between Man and Machine
5.3.4.2 Need for Effective Predictive Technologies

6 Industry Trends
6.1 Value Chain
6.2 Ecosystem
6.3 Porter’s Five Forces Analysis
6.3.1 Threat of New Entrants
6.3.2 Threat of Substitutes
6.3.3 Bargaining Power of Suppliers
6.3.4 Bargaining Power of Buyers
6.3.5 Intensity of Rivalry
6.4 Strategic Benchmarking

7 Natural Language Processing, By Type
7.1 Introduction
7.2 Rule-Based NLP
7.3 Statistical Based NLP
7.4 Hybrid NLP

8 Natural Language Processing, By Technology
8.1 Introduction
8.2 Interactive Voice Response (IVR)
8.3 Optical Character Recognition (OCR)
8.4 Pattern and Image Recognition
8.5 Auto Coding
8.6 Classification and Categorization
8.7 Text Analytics
8.8 Speech Analytics

9 Natural Language Processing Market, By Service
9.1 Introduction
9.2 Professional Services
9.3 Support and Maintenance Services

10 Natural Language Processing Market, By Deployment Model
10.1 Introduction
10.2 On-Premise
10.3 On-Demand

11 Natural Language Processing Market, By Application
11.1 Introduction
11.2 Machine Translation
11.3 Information Extraction
11.4 Report Generation
11.5 Question Answering
11.6 Other Applications

12 Natural Language Processing Market, By Vertical
12.1 Introduction
12.2 BFSI
12.3 Automotive
12.4 Healthcare and Life Sciences
12.5 Retail and Consumer Goods
12.6 Research and Education
12.7 High Tech and Electronics
12.8 Media and Entertainment
12.9 Government
12.10 Others

13 Natural Language Processing Market, By Region
13.1 Introduction
13.2 North America (NA)
13.3 Europe
13.4 Asia-Pacific
13.5 Middle East and Africa
13.6 Latin America

14 Competitive Landscape
14.1 Overview
14.2 Competitive Situation and Trends
14.3 New Product Launches
14.4 Partnerships and Collaborations
14.5 Mergers and Acquisitions
14.6 Venture Funding

15 Company Profile
15.1 3M
15.1.1 Business Overview
15.1.2 Products and Services
15.1.3 Strategies and Insights
15.1.4 Recent Developments
15.2 Apple
15.2.1 Business Overview
15.2.2 Products and Services
15.2.3 Strategies and Insights
15.2.4 Recent Developments
15.2.5 SWOT Analysis
15.3 Dolbey Systems
15.3.1 Business Overview
15.3.2 Products and Services
15.3.3 Strategies and Insights
15.3.4 Recent Developments
15.4 Google
15.4.1 Business Overview
15.4.2 Products and Services
15.4.3 Strategies and Insights
15.4.4 Recent Developments
15.4.5 SWOT Analysis
15.5 Hewlett-Packard
15.5.1 Business Overview
15.5.2 Products and Services
15.5.3 Strategies and Insights
15.5.4 Recent Developments
15.5.5 SWOT Analysis
15.6 IBM Corporation
15.6.1 Business Overview
15.6.2 Products and Services
15.6.3 Strategies and Insights
15.6.4 Recent Developments
15.6.5 SWOT Analysis
15.7 Microsoft Corporation
15.7.1 Business Overview
15.7.2 Products and Services
15.7.3 Strategies and Insights
15.7.4 Recent Developments
15.7.5 SWOT Analysis
15.8 Netbase Solutions
15.8.1 Business Overview
15.8.2 Products and Services
15.8.3 Strategies and Insights
15.8.4 Recent Developments
15.9 SAS
15.9.1 Business Overview
15.9.2 Products and Services
15.9.3 Strategies and Insights
15.9.4 Recent Developments
15.10 Verint Systems
15.10.1 Business Overview
15.10.2 Products and Services
15.10.3 Strategies and Insights
15.10.4 Recent Developments

16 Appendix
16.1 Insights of Industry Experts
16.2 Discussion Guide
16.3 Introducing RT: Real-Time Market Intelligence

List of Tables (65 Tables)

Table 1 Global Natural Language Processing Market: Assumptions
Table 2 Natural Language Processing Market Size, By Type, 2012-2019 ($Million)
Table 3 Natural Language Processing Market Size, By Type, 2015-2020 ($ Million)
Table 4 Rule Based NLP, By Region, 2015-2020 ($ Million)
Table 5 Rule Based NLP Size, By Vertical, 2015-2020 ($ Million)
Table 6 Statistical Based NLP, By Region, 2015-2020 ($ Million)
Table 7 Statistical Based NLP, By Vertical, 2015-2020 ($ Million)
Table 8 Hybrid NLP Market Size, By Region, 2015-2020 ($ Million)
Table 9 Hybrid NLP Market Size, By Vertical, 2015-2020 ($ Million)
Table 10 Natural Language Processing Market Size, By Technologies, 2015-2020 ($ Million)
Table 11 Interactive Voice Response (IVR), By Deployment Model, 2015-2020 ($ Million)
Table 12 Optical Character Recognition (OCR), By Deployment Model, 2015-2020 ($ Million)
Table 13 Pattern and Image Recognition By Deployment Model, 2015-2020 ($ Million)
Table 14 Auto Coding, By Deployment Model, 2015-2020 ($ Million)
Table 15 Classification and Categorization By Deployment Model, 2015-2020 ($ Million)
Table 16 Text Analytics, By Deployment Model, 2015-2020 ($ Million)
Table 17 Speech Analytics, By Deployment Model, 2015-2020 ($ Million)
Table 18 Natural Language Processing, By Services, 2015-2020 ($ Million)
Table 19 Professional Services, By Vertical, 2015-2020 ($ Million)
Table 20 Professional Services Size, By Regions, 2015-2020 ($ Million)
Table 21 Support and Maintenance, By Vertical, 2015-2020 ($ Million)
Table 22 Support and Maintenance Size, By Regions, 2015-2020 ($ Million)
Table 23 Natural Language Processing Market, By Deployment Model, 2015-2020 ($ Million)
Table 24 On-Premise Deployment Model, By Region, 2015-2020 ($ Million)
Table 25 On-Demand Deployment Model, By Region, 2015-2020 ($ Million)
Table 26 Natural Language Processing Market, By Application 2015-2020 ($ Million)
Table 27 Machine Translation, By Region, 2015-2020 ($ Million)
Table 28 Information Extraction, By Region, 2015-2020 ($ Million)
Table 29 Report Generation, By Region, 2015-2020 ($ Million)
Table 30 Question Answering, By Region, 2015-2020 ($ Million)
Table 31 Other Applications, By Region, 2015-2020 ($ Million)
Table 32 Natural Language Processing Market, By Vertical, 2015-2020 ($ Million)
Table 33 BFSI Market Size, By Applications, 2015-2020 ($ Million)
Table 34 BFSI, By Region, 2015-2020 ($ Million)
Table 35 Automotive Market Size, By Applications, 2015-2020 ($ Million)
Table 36 Automotive, By Region, 2015-2020 ($ Million)
Table 37 Health Care and Life Sciences Market Size, By Applications, 2015-2020 ($ Million)
Table 38 Health Care and Life Sciences, By Region, 2015-2020 ($ Million)
Table 39 BFSI Market Size, By Applications, 2015-2020 ($ Million)
Table 40 Retail and Consumer, By Region, 2015-2020 ($ Million)
Table 41 Research and Education Market Size, By Applications, 2015-2020 ($ Million)
Table 42 Research and Education, By Region, 2015-2020 ($ Million)
Table 43 High Tech and Electronics Market Size, By Applications, 2015-2020 ($ Million)
Table 44 High Tech and Electronics, By Region, 2015-2020 ($ Million)
Table 45 Media and Entertainment Market Size, By Applications, 2015-2020 ($ Million)
Table 46 Media and Entertainment, By Region, 2015-2020 ($ Million)
Table 47 Government Market Size, By Applications, 2015-2020 ($ Million)
Table 48 Government, By Region, 2015-2020 ($ Million)
Table 49 BFSI Market Size, By Applications, 2015-2020 ($ Million)
Table 50 Other Verticals, By Region, 2015-2020 ($ Million)
Table 51 Natural Language Processing Market Size, By Region, 2015-2020 ($ Million)
Table 52 NA: Market Size, By Type, 2015-2020 ($ Million)
Table 53 NA: Market Size, By Verticals, 2015-2020 ($ Million)
Table 54 Europe: Market Size, By Type, 2015-2020 ($ Million)
Table 55 Europe: Market Size, By Vertical, 2015-2020 ($ Million)
Table 56 APAC: Market Size, By Type, 2015-2020 ($ Million)
Table 57 APAC: Market Size, By Organization Size, 2015-2020 ($ Million)
Table 58 MEA: Market Size, By Type, 2015-2020 ($ Million)
Table 59 MEA: Market Size, By Organization Size, 2015-2020 ($ Million)
Table 60 LA: Market Size, By Type, 2015-2020 ($ Million)
Table 61 LA: Natural Language Processing Market Size, By Verticals, 2015-2020 ($ Million)
Table 62 New Product Launches, 2011-2014
Table 63 Partnerships and Collaborations, 2011–2013
Table 64 Mergers and Acquisitions, 2008–2015
Table 65 Venture Funding, 2011–2014

List of Figures (46 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 Cloud Storage
Figure 5 NA Holds the Highest Market Share for 2014
Figure 6 Top Three Segments for Natural Language Processing Market 2014-2019
Figure 7 Growth Trend of Natural Language Processing Market (2015–2020)
Figure 8 Geographic Lifecycle Analysis (2015): MEA is Growing With the Highest Growth Rate
Figure 9 Market Investment Scenario: MEA and APAC Rise as the Best Opportunity Markets for Investment in the Next Five Years
Figure 10 New Revenue Pocket for Market Players
Figure 11 NA Commands Over 38.9% of the Market Share in 2015
Figure 12 Market Segmentation: By Type
Figure 13 Market Segmentation: By Service
Figure 14 Market Segmentation: By Deployment Model
Figure 15 Market Segmentation: By Vertical
Figure 16 Market Segmentation: By Region
Figure 17 Rise in Data and Growing Demand for Enhanced Customer Experience Are the Key Drivers in This Market
Figure 18 Natural Language Processing: Value Chain Analysis
Figure 19 Natural Language Processing Ecosystem
Figure 20 Natural Language Processing: Porter’s Five Forces Analysis
Figure 21 Strategic Benchmarking: Natural Language Processing
Figure 22 Rule Based Leads the NLP Market By Type for the Year 2015
Figure 23 Market By Technologies for the Year 2015
Figure 24 Market By Services
Figure 25 Market By Deployment Model
Figure 26 Market By Application
Figure 27 Market By Vertical
Figure 28 Market By Region
Figure 29 Companies Adopted Acquisitions and New Product Development as the Key Growth Strategy (2010-2014)
Figure 30 Revenue of Apple Inc. Grew At the Highest Rate Between 2010 and 2014
Figure 31 Market Evaluation Framework
Figure 32 Battle for Market Share: New Product Developments Had Been the Key Strategy for the Year 2014
Figure 33 3M : Business Overview
Figure 34 Apple : Business Overview
Figure 35 Dolbey Systems: Business Overview
Figure 36 Google: Business Overview
Figure 37 Google : SWOT Analysis
Figure 38 Hewlett-Packard : Business Overview
Figure 39 Hewlett-Packard : SWOT Analysis
Figure 40 IBM: Business Overview
Figure 41 IBM : SWOT Analysis
Figure 42 Microsoft Corporation: Business Overview
Figure 43 Microsoft Corporation: SWOT Analysis
Figure 44 Netbase Solutions. : Business Overview
Figure 45 SAS: Business Overview
Figure 46 Verint Systems : Business Overview

Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • 3M
  • Apple
  • Dolbey Systems
  • Google
  • Hewlett-Packard
  • IBM Corporation
  • MORE

In the Natural Language Processing (NLP) market, the solution vendors such as 3M, Apple Incorporation, Dolbey Systems, Google, HP, IBM Incorporation, Microsoft Corporation, NetBase solutions, SAS institute Inc., and Verint Systems offer high end NLP solutions. The NLP market has been segmented on the basis of type of NLP solutions such as rule-based NLP, statistical NLP, and hybrid NLP. The NLP technologies are classified into broader segments including recognition, operational and analytics which are further spilt into their respective sub-segments.

The Natural Language Processing market is growing at a rapid rate and is being pushed by a variety of growth drivers such as growing demand for enhanced customer experience, increase in adoption of smartphones, leverage big data, growth in M2M technologies, growing need of converting manual documents into electronic records, increase in number of contact centers and adoption of more cloud-based technologies. The NLP market has been forecast to provide numerous opportunities such as emerging areas of applications and investment in the healthcare industry. However, the market is going to be hampered by a few restraints such as low customer adoption. These are a few customer segments where the NLP techniques have missed its acceptance.

A major challenging factor which is being faced by the business organizations operative in this industry include challenges posed by government rules and regulations. As business organizations are looking for human to machine translation solutions in order to provide better access to important data, the demand of NLP solutions are increasing at high rate.

Globally, North America and Europe have shown the maximum respective revenues in this market. However, regions such as Latin America, Middle East and Africa (MEA) and Asia-Pacific (APAC) are the faster growing regions. In order to survive the competitive landscape of the market, small and medium-sized businesses as well as large enterprises are continuously deploying state-of-the-art NLP solutions to enhance the efficiency of their operations.

Further, in the Natural Language Processing market, the NLP techniques are getting deployed through two kinds of models, i.e. on-premise and on-demand (cloud-based) which are covered in this report.

Note: Product cover images may vary from those shown

- 3M
- Apple
- Dolbey Systems
- Google
- Hewlett-Packard
- IBM Corporation
- Microsoft Corporation
- Netbase Solutions
- SAS
- Verint Systems

Note: Product cover images may vary from those shown
Note: Product cover images may vary from those shown

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