Global Cloud Natural Language Processing Market Size, Status, Research and Forecast 2019-2025

Published On: Jul 2019

Format: PDF

Publisher: QY Research

Pages: 106

Report ID: 3371

Natural Language Processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation.
In 2018, the global Cloud Natural Language Processing market size was 1760 million US$ and it is expected to reach 6160 million US$ by the end of 2025, with a CAGR of 17.0% during 2019-2025.

This report focuses on the global Cloud Natural Language Processing status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Cloud Natural Language Processing development in United States, Europe and China.

The key players covered in this study
3M Company
Apple
Amazon Webrvices
Baidu
Convergys Corporation
Digital Reasoning Systems
Dolbey Systems
Facebook
Fuji Xerox
Google
HP Enterprise
IBM Corporation
Interactions
Lexalytics
Microsoft Corporation
Netbase Solution
Nuance Communications
SAP
SAS Institute
Verint Systems

Market segment by Type, the product can be split into
Rulebased
Statistical
Hybrid

Market segment by Application, split into
Information Extraction
Machine Translation
Processing and Visualization
Question Answering

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Cloud Natural Language Processing status, future forecast, growth opportunity, key market and key players.
To present the Cloud Natural Language Processing development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Cloud Natural Language Processing are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Contents

1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Cloud Natural Language Processing Market Size Growth Rate by Type (2014-2025)
1.4.2 Rulebased
1.4.3 Statistical
1.4.4 Hybrid
1.5 Market by Application
1.5.1 Global Cloud Natural Language Processing Market Share by Application (2014-2025)
1.5.2 Information Extraction
1.5.3 Machine Translation
1.5.4 Processing and Visualization
1.5.5 Question Answering
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Cloud Natural Language Processing Market Size
2.2 Cloud Natural Language Processing Growth Trends by Regions
2.2.1 Cloud Natural Language Processing Market Size by Regions (2014-2025)
2.2.2 Cloud Natural Language Processing Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities

3 Market Share by Key Players
3.1 Cloud Natural Language Processing Market Size by Manufacturers
3.1.1 Global Cloud Natural Language Processing Revenue by Manufacturers (2014-2019)
3.1.2 Global Cloud Natural Language Processing Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Cloud Natural Language Processing Market Concentration Ratio (CR5 and HHI)
3.2 Cloud Natural Language Processing Key Players Head office and Area Served
3.3 Key Players Cloud Natural Language Processing Product/Solution/Service
3.4 Date of Enter into Cloud Natural Language Processing Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application
4.1 Global Cloud Natural Language Processing Market Size by Type (2014-2019)
4.2 Global Cloud Natural Language Processing Market Size by Application (2014-2019)

5 United States
5.1 United States Cloud Natural Language Processing Market Size (2014-2019)
5.2 Cloud Natural Language Processing Key Players in United States
5.3 United States Cloud Natural Language Processing Market Size by Type
5.4 United States Cloud Natural Language Processing Market Size by Application

6 Europe
6.1 Europe Cloud Natural Language Processing Market Size (2014-2019)
6.2 Cloud Natural Language Processing Key Players in Europe
6.3 Europe Cloud Natural Language Processing Market Size by Type
6.4 Europe Cloud Natural Language Processing Market Size by Application

7 China
7.1 China Cloud Natural Language Processing Market Size (2014-2019)
7.2 Cloud Natural Language Processing Key Players in China
7.3 China Cloud Natural Language Processing Market Size by Type
7.4 China Cloud Natural Language Processing Market Size by Application

8 Japan
8.1 Japan Cloud Natural Language Processing Market Size (2014-2019)
8.2 Cloud Natural Language Processing Key Players in Japan
8.3 Japan Cloud Natural Language Processing Market Size by Type
8.4 Japan Cloud Natural Language Processing Market Size by Application

9 Southeast Asia
9.1 Southeast Asia Cloud Natural Language Processing Market Size (2014-2019)
9.2 Cloud Natural Language Processing Key Players in Southeast Asia
9.3 Southeast Asia Cloud Natural Language Processing Market Size by Type
9.4 Southeast Asia Cloud Natural Language Processing Market Size by Application

10 India
10.1 India Cloud Natural Language Processing Market Size (2014-2019)
10.2 Cloud Natural Language Processing Key Players in India
10.3 India Cloud Natural Language Processing Market Size by Type
10.4 India Cloud Natural Language Processing Market Size by Application

11 Central & South America
11.1 Central & South America Cloud Natural Language Processing Market Size (2014-2019)
11.2 Cloud Natural Language Processing Key Players in Central & South America
11.3 Central & South America Cloud Natural Language Processing Market Size by Type
11.4 Central & South America Cloud Natural Language Processing Market Size by Application

12 International Players Profiles
12.1 3M Company
12.1.1 3M Company Company Details
12.1.2 Company Description and Business Overview
12.1.3 Cloud Natural Language Processing Introduction
12.1.4 3M Company Revenue in Cloud Natural Language Processing Business (2014-2019)
12.1.5 3M Company Recent Development
12.2 Apple
12.2.1 Apple Company Details
12.2.2 Company Description and Business Overview
12.2.3 Cloud Natural Language Processing Introduction
12.2.4 Apple Revenue in Cloud Natural Language Processing Business (2014-2019)
12.2.5 Apple Recent Development
12.3 Amazon Webrvices
12.3.1 Amazon Webrvices Company Details
12.3.2 Company Description and Business Overview
12.3.3 Cloud Natural Language Processing Introduction
12.3.4 Amazon Webrvices Revenue in Cloud Natural Language Processing Business (2014-2019)
12.3.5 Amazon Webrvices Recent Development
12.4 Baidu
12.4.1 Baidu Company Details
12.4.2 Company Description and Business Overview
12.4.3 Cloud Natural Language Processing Introduction
12.4.4 Baidu Revenue in Cloud Natural Language Processing Business (2014-2019)
12.4.5 Baidu Recent Development
12.5 Convergys Corporation
12.5.1 Convergys Corporation Company Details
12.5.2 Company Description and Business Overview
12.5.3 Cloud Natural Language Processing Introduction
12.5.4 Convergys Corporation Revenue in Cloud Natural Language Processing Business (2014-2019)
12.5.5 Convergys Corporation Recent Development
12.6 Digital Reasoning Systems
12.6.1 Digital Reasoning Systems Company Details
12.6.2 Company Description and Business Overview
12.6.3 Cloud Natural Language Processing Introduction
12.6.4 Digital Reasoning Systems Revenue in Cloud Natural Language Processing Business (2014-2019)
12.6.5 Digital Reasoning Systems Recent Development
12.7 Dolbey Systems
12.7.1 Dolbey Systems Company Details
12.7.2 Company Description and Business Overview
12.7.3 Cloud Natural Language Processing Introduction
12.7.4 Dolbey Systems Revenue in Cloud Natural Language Processing Business (2014-2019)
12.7.5 Dolbey Systems Recent Development
12.8 Facebook
12.8.1 Facebook Company Details
12.8.2 Company Description and Business Overview
12.8.3 Cloud Natural Language Processing Introduction
12.8.4 Facebook Revenue in Cloud Natural Language Processing Business (2014-2019)
12.8.5 Facebook Recent Development
12.9 Fuji Xerox
12.9.1 Fuji Xerox Company Details
12.9.2 Company Description and Business Overview
12.9.3 Cloud Natural Language Processing Introduction
12.9.4 Fuji Xerox Revenue in Cloud Natural Language Processing Business (2014-2019)
12.9.5 Fuji Xerox Recent Development
12.10 Google
12.10.1 Google Company Details
12.10.2 Company Description and Business Overview
12.10.3 Cloud Natural Language Processing Introduction
12.10.4 Google Revenue in Cloud Natural Language Processing Business (2014-2019)
12.10.5 Google Recent Development
12.11 HP Enterprise
12.12 IBM Corporation
12.13 Interactions
12.14 Lexalytics
12.15 Microsoft Corporation
12.16 Netbase Solution
12.17 Nuance Communications
12.18 SAP
12.19 SAS Institute
12.20 Verint Systems

13 Market Forecast 2019-2025
13.1 Market Size Forecast by Regions
13.2 United States
13.3 Europe
13.4 China
13.5 Japan
13.6 Southeast Asia
13.7 India
13.8 Central & South America
13.9 Market Size Forecast by Product (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)

14 Analyst's Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details