自然言語処理(NLP)のグローバル市場(2020~2030):ソリューション、サービス

■ 英語タイトル:Global Natural Language Processing (NLP) Market By Component (Solution, Services), By Deployment Mode (On Premise, Cloud), By Organization Size (Large Enterprises, Smes), By Type (Rule Based Nlp, Statistical Nlp, Hybrid Nlp), By Industry Vertical (It And Telecommunication, Retail And Ecommerce, Bfsi, Healthcare, Education, Media And Entertainment, Others): Global Opportunity Analysis and Industry Forecast, 2020-2030

調査会社Allied Market Research社が発行したリサーチレポート(データ管理コード:ALD22AU152)■ 発行会社/調査会社:Allied Market Research
■ 商品コード:ALD22AU152
■ 発行日:2022年3月
■ 調査対象地域:グローバル
■ 産業分野:IT
■ ページ数:376
■ レポート言語:英語
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★グローバルリサーチ資料[自然言語処理(NLP)のグローバル市場(2020~2030):ソリューション、サービス]についてメールでお問い合わせはこちら
*** レポート概要(サマリー)***

Allied Market Research社の当調査資料では、世界の自然言語処理(NLP)市場を対象に総合的に調査・分析を行い、イントロダクション、エグゼクティブサマリー、市場概要、コンポーネント別(ソリューション、サービス)分析、展開別(オンプレミス、クラウド)分析、種類別(ルールベースNLP、統計的NLP、ハイブリッドNLP)分析、産業別(IT&通信、小売&Eコマース、金融、医療、その他)分析、地域別分析、企業状況、企業情報などの項目をまとめております。なお、当書に掲載されている企業情報には、Apple Inc.、Facebook、Google Inc.、Hewlett-Packard Enterprise、IBM Corporation、Intel Corporation、Microsoft Corporation、Narrative Science、SAS Institute Inc.、Verint Systems, Inc.などが含まれています。
・イントロダクション
・エグゼクティブサマリー
・市場概要
・世界の自然言語処理(NLP)市場規模:コンポーネント別(ソリューション、サービス)
・世界の自然言語処理(NLP)市場規模:展開別(オンプレミス、クラウド)
・世界の自然言語処理(NLP)市場規模:種類別(ルールベースNLP、統計的NLP、ハイブリッドNLP)
・世界の自然言語処理(NLP)市場規模:産業別(IT&通信、小売&Eコマース、金融、医療、その他)
・世界の自然言語処理(NLP)市場規模:地域別
・企業状況
・企業情報

The Natural Language Processing (NLP) is a part of artificial intelligence (AI) that enable the computer to interpret human language, obtains meaning, and make communication more convenient by using voice enabled artificial intelligence (AI) and conversational intelligence technologies. In addition, the NLP features such as autocorrect and autocomplete tool help to analyze personal language patterns and identify the most appropriate suggestions for the individual users or public. Furthermore, natural language processing automates much of the physical process, provides analytics and business intelligence for growth and helps to order and organize the processes. In addition, growing data and increasing complexities in large businesses would open numerous opportunities for natural language processing (NLP) in the market.
Factor such as rising usage of smart devices to facilitate smart environments, which drive the market growth. In addition, increasing demand for advanced text analytics and the growing use of internet and connected devices, which drive the growth of the market. Furthermore, growing adoption of NLP-based applications across industries to boost customer experience. In addition, increasing investments in the healthcare sector are expected to provide lucrative growth opportunities for the market. However, complexities due to the usage of code-mixed language while implementing NLP solutions and limitations in the development of NLP technology using neural networks are restricting the usage of cloud-based services, which can hamper the market growth.
The natural language processing market is segmented on the basis of component, deployment mode, type, organization size, industry vertical, and region. By component, it is bifurcated into software and services. By deployment mode, it is segregated into cloud and on-premises. On the basis of type, it is segregated into rule-based NLP, statistical NLP and hybrid NLP. By industry vertical, it is classified into BFSI, retail & e-commerce, IT & telecom, healthcare, education, media and entertainment, and others. By enterprise size, it is categorized into small to medium enterprise (SME’s) and large-scale enterprise. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the natural language processing market, which includes Apple Inc., Facebook, Google Inc. (Alphabet Inc.), Hewlett-Packard Enterprise, IBM Corporation, Intel Corporation, Microsoft Corporation, Narrative Science, SAS Institute Inc., Verint Systems, Inc.  These major players have adopted various key development strategies such as business expansion, new product launches, and others, which help to drive the growth of the global digital supply chain market.
 
Key Benefits For Stakeholders
●This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the world natural language processing market analysis from 2020 to 2030 to identify the prevailing world natural language processing (nlp) market opportunities.
●The market research is offered along with information related to key drivers, restraints, and opportunities.
●Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
●In-depth analysis of the world natural language processing industry segmentation assists to determine the prevailing market opportunities.
●Major countries in each region are mapped according to their revenue contribution to the global NLP market size.
●Natural language processing industry player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
●The report includes the analysis of the regional as well as global world natural language processing market share, trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By BY COMPONENT
● Solution
● Services

By BY DEPLOYMENT MODE
● On Premise
● Cloud

By BY ORGANIZATION SIZE
● Large Enterprises
● Smes

By BY TYPE
● Rule Based Nlp
● Statistical Nlp
● Hybrid Nlp

By BY INDUSTRY VERTICAL
● It And Telecommunication
● Retail And Ecommerce
● Bfsi
● Healthcare
● Education
● Media And Entertainment
● Others

By BY REGION
● North America
○ U.S
○ . Canada
● Europe
○ Rest of Europe
○ United Kingdom
○ Germany
○ France
○ Italy
○ Spain
○ Netherlands
● Asia-Pacific
○ China
○ Japan
○ India
○ Australia
○ South Korea
○ Rest of Asia-Pacific
● LAMEA
○ Brazil
○ Saudi Arabia
○ UAE

● Key Market Players
○ Apple Inc.
○ Facebook
○ Google Inc.
○ Hewlett-Packard Enterprise
○ IBM Corporation
○ Intel Corporation
○ Microsoft Corporation
○ Narrative Science
○ SAS Institute Inc.
○ Verint Systems, Inc.

*** レポート目次(コンテンツ)***

CHAPTER 1:INTRODUCTION
1.1.Report description
1.2.Key market segments
1.3.Key benefits to the stakeholders
1.4.Research Methodology
1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools and models
CHAPTER 2:EXECUTIVE SUMMARY
2.1.Key findings of the study
2.2.CXO Perspective
CHAPTER 3:MARKET OVERVIEW
3.1.Market definition and scope
3.2.Key findings
3.2.1.Top investment pockets
3.3.Porter’s five forces analysis
3.4.Top player positioning
3.5.Market dynamics
3.5.1.Drivers
3.5.2.Restraints
3.5.3.Opportunities
3.6.COVID-19 Impact Analysis on the market
3.7.Key Regulation Analysis
3.8.Regulatory Guidelines
CHAPTER 4: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2 Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market analysis by country
4.3 Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market analysis by country
CHAPTER 5: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE
5.1 Overview
5.1.1 Market size and forecast
5.2 On Premise
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market analysis by country
5.3 Cloud
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market analysis by country
CHAPTER 6: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE
6.1 Overview
6.1.1 Market size and forecast
6.2 Large Enterprises
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market analysis by country
6.3 Smes
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market analysis by country
CHAPTER 7: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE
7.1 Overview
7.1.1 Market size and forecast
7.2 Rule Based Nlp
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by region
7.2.3 Market analysis by country
7.3 Statistical Nlp
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by region
7.3.3 Market analysis by country
7.4 Hybrid Nlp
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by region
7.4.3 Market analysis by country
CHAPTER 8: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL
8.1 Overview
8.1.1 Market size and forecast
8.2 It And Telecommunication
8.2.1 Key market trends, growth factors and opportunities
8.2.2 Market size and forecast, by region
8.2.3 Market analysis by country
8.3 Retail And Ecommerce
8.3.1 Key market trends, growth factors and opportunities
8.3.2 Market size and forecast, by region
8.3.3 Market analysis by country
8.4 Bfsi
8.4.1 Key market trends, growth factors and opportunities
8.4.2 Market size and forecast, by region
8.4.3 Market analysis by country
8.5 Healthcare
8.5.1 Key market trends, growth factors and opportunities
8.5.2 Market size and forecast, by region
8.5.3 Market analysis by country
8.6 Education
8.6.1 Key market trends, growth factors and opportunities
8.6.2 Market size and forecast, by region
8.6.3 Market analysis by country
8.7 Media And Entertainment
8.7.1 Key market trends, growth factors and opportunities
8.7.2 Market size and forecast, by region
8.7.3 Market analysis by country
8.8 Others
8.8.1 Key market trends, growth factors and opportunities
8.8.2 Market size and forecast, by region
8.8.3 Market analysis by country
CHAPTER 9: WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY REGION
9.1 Overview
9.1.1 Market size and forecast
9.2 North America
9.2.1 Key trends and opportunities
9.2.2 North America Market size and forecast, by Component
9.2.3 North America Market size and forecast, by Deployment Mode
9.2.4 North America Market size and forecast, by Organization Size
9.2.5 North America Market size and forecast, by Type
9.2.6 North America Market size and forecast, by Industry Vertical
9.2.7 North America Market size and forecast, by country
9.2.7.1 U.S.
9.2.7.1.1 Market size and forecast, by Component
9.2.7.1.2 Market size and forecast, by Deployment Mode
9.2.7.1.3 Market size and forecast, by Organization Size
9.2.7.1.4 Market size and forecast, by Type
9.2.7.1.5 Market size and forecast, by Industry Vertical
9.2.7.2 Canada
9.2.7.2.1 Market size and forecast, by Component
9.2.7.2.2 Market size and forecast, by Deployment Mode
9.2.7.2.3 Market size and forecast, by Organization Size
9.2.7.2.4 Market size and forecast, by Type
9.2.7.2.5 Market size and forecast, by Industry Vertical
9.3 Europe
9.3.1 Key trends and opportunities
9.3.2 Europe Market size and forecast, by Component
9.3.3 Europe Market size and forecast, by Deployment Mode
9.3.4 Europe Market size and forecast, by Organization Size
9.3.5 Europe Market size and forecast, by Type
9.3.6 Europe Market size and forecast, by Industry Vertical
9.3.7 Europe Market size and forecast, by country
9.3.7.1 United Kingdom
9.3.7.1.1 Market size and forecast, by Component
9.3.7.1.2 Market size and forecast, by Deployment Mode
9.3.7.1.3 Market size and forecast, by Organization Size
9.3.7.1.4 Market size and forecast, by Type
9.3.7.1.5 Market size and forecast, by Industry Vertical
9.3.7.2 Germany
9.3.7.2.1 Market size and forecast, by Component
9.3.7.2.2 Market size and forecast, by Deployment Mode
9.3.7.2.3 Market size and forecast, by Organization Size
9.3.7.2.4 Market size and forecast, by Type
9.3.7.2.5 Market size and forecast, by Industry Vertical
9.3.7.3 France
9.3.7.3.1 Market size and forecast, by Component
9.3.7.3.2 Market size and forecast, by Deployment Mode
9.3.7.3.3 Market size and forecast, by Organization Size
9.3.7.3.4 Market size and forecast, by Type
9.3.7.3.5 Market size and forecast, by Industry Vertical
9.3.7.4 Italy
9.3.7.4.1 Market size and forecast, by Component
9.3.7.4.2 Market size and forecast, by Deployment Mode
9.3.7.4.3 Market size and forecast, by Organization Size
9.3.7.4.4 Market size and forecast, by Type
9.3.7.4.5 Market size and forecast, by Industry Vertical
9.3.7.5 Spain
9.3.7.5.1 Market size and forecast, by Component
9.3.7.5.2 Market size and forecast, by Deployment Mode
9.3.7.5.3 Market size and forecast, by Organization Size
9.3.7.5.4 Market size and forecast, by Type
9.3.7.5.5 Market size and forecast, by Industry Vertical
9.3.7.6 Netherlands
9.3.7.6.1 Market size and forecast, by Component
9.3.7.6.2 Market size and forecast, by Deployment Mode
9.3.7.6.3 Market size and forecast, by Organization Size
9.3.7.6.4 Market size and forecast, by Type
9.3.7.6.5 Market size and forecast, by Industry Vertical
9.3.7.7 Rest of Europe
9.3.7.7.1 Market size and forecast, by Component
9.3.7.7.2 Market size and forecast, by Deployment Mode
9.3.7.7.3 Market size and forecast, by Organization Size
9.3.7.7.4 Market size and forecast, by Type
9.3.7.7.5 Market size and forecast, by Industry Vertical
9.4 Asia-Pacific
9.4.1 Key trends and opportunities
9.4.2 Asia-Pacific Market size and forecast, by Component
9.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
9.4.4 Asia-Pacific Market size and forecast, by Organization Size
9.4.5 Asia-Pacific Market size and forecast, by Type
9.4.6 Asia-Pacific Market size and forecast, by Industry Vertical
9.4.7 Asia-Pacific Market size and forecast, by country
9.4.7.1 China
9.4.7.1.1 Market size and forecast, by Component
9.4.7.1.2 Market size and forecast, by Deployment Mode
9.4.7.1.3 Market size and forecast, by Organization Size
9.4.7.1.4 Market size and forecast, by Type
9.4.7.1.5 Market size and forecast, by Industry Vertical
9.4.7.2 Japan
9.4.7.2.1 Market size and forecast, by Component
9.4.7.2.2 Market size and forecast, by Deployment Mode
9.4.7.2.3 Market size and forecast, by Organization Size
9.4.7.2.4 Market size and forecast, by Type
9.4.7.2.5 Market size and forecast, by Industry Vertical
9.4.7.3 India
9.4.7.3.1 Market size and forecast, by Component
9.4.7.3.2 Market size and forecast, by Deployment Mode
9.4.7.3.3 Market size and forecast, by Organization Size
9.4.7.3.4 Market size and forecast, by Type
9.4.7.3.5 Market size and forecast, by Industry Vertical
9.4.7.4 Australia
9.4.7.4.1 Market size and forecast, by Component
9.4.7.4.2 Market size and forecast, by Deployment Mode
9.4.7.4.3 Market size and forecast, by Organization Size
9.4.7.4.4 Market size and forecast, by Type
9.4.7.4.5 Market size and forecast, by Industry Vertical
9.4.7.5 South Korea
9.4.7.5.1 Market size and forecast, by Component
9.4.7.5.2 Market size and forecast, by Deployment Mode
9.4.7.5.3 Market size and forecast, by Organization Size
9.4.7.5.4 Market size and forecast, by Type
9.4.7.5.5 Market size and forecast, by Industry Vertical
9.4.7.6 Rest of Asia-Pacific
9.4.7.6.1 Market size and forecast, by Component
9.4.7.6.2 Market size and forecast, by Deployment Mode
9.4.7.6.3 Market size and forecast, by Organization Size
9.4.7.6.4 Market size and forecast, by Type
9.4.7.6.5 Market size and forecast, by Industry Vertical
9.5 LAMEA
9.5.1 Key trends and opportunities
9.5.2 LAMEA Market size and forecast, by Component
9.5.3 LAMEA Market size and forecast, by Deployment Mode
9.5.4 LAMEA Market size and forecast, by Organization Size
9.5.5 LAMEA Market size and forecast, by Type
9.5.6 LAMEA Market size and forecast, by Industry Vertical
9.5.7 LAMEA Market size and forecast, by country
9.5.7.1 Brazil
9.5.7.1.1 Market size and forecast, by Component
9.5.7.1.2 Market size and forecast, by Deployment Mode
9.5.7.1.3 Market size and forecast, by Organization Size
9.5.7.1.4 Market size and forecast, by Type
9.5.7.1.5 Market size and forecast, by Industry Vertical
9.5.7.2 Saudi Arabia
9.5.7.2.1 Market size and forecast, by Component
9.5.7.2.2 Market size and forecast, by Deployment Mode
9.5.7.2.3 Market size and forecast, by Organization Size
9.5.7.2.4 Market size and forecast, by Type
9.5.7.2.5 Market size and forecast, by Industry Vertical
9.5.7.3 UAE
9.5.7.3.1 Market size and forecast, by Component
9.5.7.3.2 Market size and forecast, by Deployment Mode
9.5.7.3.3 Market size and forecast, by Organization Size
9.5.7.3.4 Market size and forecast, by Type
9.5.7.3.5 Market size and forecast, by Industry Vertical
CHAPTER 10: COMPANY LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Key developments
CHAPTER 11: COMPANY PROFILES
11.1 Apple Inc.
11.1.1 Company overview
11.1.2 Company snapshot
11.1.3 Operating business segments
11.1.4 Product portfolio
11.1.5 Business performance
11.1.6 Key strategic moves and developments
11.2 Facebook
11.2.1 Company overview
11.2.2 Company snapshot
11.2.3 Operating business segments
11.2.4 Product portfolio
11.2.5 Business performance
11.2.6 Key strategic moves and developments
11.3 Google Inc.
11.3.1 Company overview
11.3.2 Company snapshot
11.3.3 Operating business segments
11.3.4 Product portfolio
11.3.5 Business performance
11.3.6 Key strategic moves and developments
11.4 Hewlett-Packard Enterprise
11.4.1 Company overview
11.4.2 Company snapshot
11.4.3 Operating business segments
11.4.4 Product portfolio
11.4.5 Business performance
11.4.6 Key strategic moves and developments
11.5 IBM Corporation
11.5.1 Company overview
11.5.2 Company snapshot
11.5.3 Operating business segments
11.5.4 Product portfolio
11.5.5 Business performance
11.5.6 Key strategic moves and developments
11.6 Intel Corporation
11.6.1 Company overview
11.6.2 Company snapshot
11.6.3 Operating business segments
11.6.4 Product portfolio
11.6.5 Business performance
11.6.6 Key strategic moves and developments
11.7 Microsoft Corporation
11.7.1 Company overview
11.7.2 Company snapshot
11.7.3 Operating business segments
11.7.4 Product portfolio
11.7.5 Business performance
11.7.6 Key strategic moves and developments
11.8 Narrative Science
11.8.1 Company overview
11.8.2 Company snapshot
11.8.3 Operating business segments
11.8.4 Product portfolio
11.8.5 Business performance
11.8.6 Key strategic moves and developments
11.9 SAS Institute Inc.
11.9.1 Company overview
11.9.2 Company snapshot
11.9.3 Operating business segments
11.9.4 Product portfolio
11.9.5 Business performance
11.9.6 Key strategic moves and developments
11.10 Verint Systems, Inc.
11.10.1 Company overview
11.10.2 Company snapshot
11.10.3 Operating business segments
11.10.4 Product portfolio
11.10.5 Business performance
11.10.6 Key strategic moves and developments

LIST OF TABLES
TABLE 1. GLOBAL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 2. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR SOLUTION, BY REGION , 2020-2030,($MILLION)
TABLE 3. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET SOLUTION BY COUNTRY, 2020-2030,($MILLION)
TABLE 4. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR SERVICES, BY REGION , 2020-2030,($MILLION)
TABLE 5. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET SERVICES BY COUNTRY, 2020-2030,($MILLION)
TABLE 6. GLOBAL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE, 2020-2030,($MILLION)
TABLE 7. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR ON PREMISE, BY REGION , 2020-2030,($MILLION)
TABLE 8. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET ON PREMISE BY COUNTRY, 2020-2030,($MILLION)
TABLE 9. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR CLOUD, BY REGION , 2020-2030,($MILLION)
TABLE 10. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET CLOUD BY COUNTRY, 2020-2030,($MILLION)
TABLE 11. GLOBAL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE, 2020-2030,($MILLION)
TABLE 12. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR LARGE ENTERPRISES, BY REGION , 2020-2030,($MILLION)
TABLE 13. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET LARGE ENTERPRISES BY COUNTRY, 2020-2030,($MILLION)
TABLE 14. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR SMES, BY REGION , 2020-2030,($MILLION)
TABLE 15. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET SMES BY COUNTRY, 2020-2030,($MILLION)
TABLE 16. GLOBAL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE, 2020-2030,($MILLION)
TABLE 17. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR RULE BASED NLP, BY REGION , 2020-2030,($MILLION)
TABLE 18. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET RULE BASED NLP BY COUNTRY, 2020-2030,($MILLION)
TABLE 19. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR STATISTICAL NLP, BY REGION , 2020-2030,($MILLION)
TABLE 20. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET STATISTICAL NLP BY COUNTRY, 2020-2030,($MILLION)
TABLE 21. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR HYBRID NLP, BY REGION , 2020-2030,($MILLION)
TABLE 22. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET HYBRID NLP BY COUNTRY, 2020-2030,($MILLION)
TABLE 23. GLOBAL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 24. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR IT AND TELECOMMUNICATION, BY REGION , 2020-2030,($MILLION)
TABLE 25. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET IT AND TELECOMMUNICATION BY COUNTRY, 2020-2030,($MILLION)
TABLE 26. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR RETAIL AND ECOMMERCE, BY REGION , 2020-2030,($MILLION)
TABLE 27. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET RETAIL AND ECOMMERCE BY COUNTRY, 2020-2030,($MILLION)
TABLE 28. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR BFSI, BY REGION , 2020-2030,($MILLION)
TABLE 29. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BFSI BY COUNTRY, 2020-2030,($MILLION)
TABLE 30. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR HEALTHCARE, BY REGION , 2020-2030,($MILLION)
TABLE 31. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET HEALTHCARE BY COUNTRY, 2020-2030,($MILLION)
TABLE 32. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR EDUCATION, BY REGION , 2020-2030,($MILLION)
TABLE 33. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET EDUCATION BY COUNTRY, 2020-2030,($MILLION)
TABLE 34. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR MEDIA AND ENTERTAINMENT, BY REGION , 2020-2030,($MILLION)
TABLE 35. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET MEDIA AND ENTERTAINMENT BY COUNTRY, 2020-2030,($MILLION)
TABLE 36. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET REVENUE, FOR OTHERS, BY REGION , 2020-2030,($MILLION)
TABLE 37. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET OTHERS BY COUNTRY, 2020-2030,($MILLION)
TABLE 38. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY REGION, 2020-2030,($MILLION)
TABLE 39. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 40. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE, 2020-2030,($MILLION)
TABLE 41. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE, 2020-2030,($MILLION)
TABLE 42. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE, 2020-2030,($MILLION)
TABLE 43. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 44. NORTH AMERICA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 45. U.S. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 46. U.S. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 47. U.S. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 48. U.S. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 49. U.S. WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 50. CANADA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 51. CANADA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 52. CANADA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 53. CANADA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 54. CANADA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 55. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 56. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE, 2020-2030,($MILLION)
TABLE 57. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE, 2020-2030,($MILLION)
TABLE 58. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE, 2020-2030,($MILLION)
TABLE 59. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 60. EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 61. UNITED KINGDOM WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 62. UNITED KINGDOM WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 63. UNITED KINGDOM WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 64. UNITED KINGDOM WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 65. UNITED KINGDOM WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 66. GERMANY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 67. GERMANY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 68. GERMANY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 69. GERMANY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 70. GERMANY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 71. FRANCE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 72. FRANCE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 73. FRANCE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 74. FRANCE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 75. FRANCE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 76. ITALY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 77. ITALY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 78. ITALY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 79. ITALY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 80. ITALY WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 81. SPAIN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 82. SPAIN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 83. SPAIN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 84. SPAIN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 85. SPAIN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 86. NETHERLANDS WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 87. NETHERLANDS WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 88. NETHERLANDS WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 89. NETHERLANDS WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 90. NETHERLANDS WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 91. REST OF EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 92. REST OF EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 93. REST OF EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 94. REST OF EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 95. REST OF EUROPE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 96. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 97. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE, 2020-2030,($MILLION)
TABLE 98. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE, 2020-2030,($MILLION)
TABLE 99. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE, 2020-2030,($MILLION)
TABLE 100. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 101. ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 102. CHINA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 103. CHINA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 104. CHINA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 105. CHINA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 106. CHINA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 107. JAPAN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 108. JAPAN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 109. JAPAN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 110. JAPAN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 111. JAPAN WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 112. INDIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 113. INDIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 114. INDIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 115. INDIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 116. INDIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 117. AUSTRALIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 118. AUSTRALIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 119. AUSTRALIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 120. AUSTRALIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 121. AUSTRALIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 122. SOUTH KOREA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 123. SOUTH KOREA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 124. SOUTH KOREA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 125. SOUTH KOREA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 126. SOUTH KOREA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 127. REST OF ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 128. REST OF ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 129. REST OF ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 130. REST OF ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 131. REST OF ASIA-PACIFIC WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 132. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT, 2020-2030,($MILLION)
TABLE 133. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT MODE, 2020-2030,($MILLION)
TABLE 134. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY ORGANIZATION SIZE, 2020-2030,($MILLION)
TABLE 135. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TYPE, 2020-2030,($MILLION)
TABLE 136. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY INDUSTRY VERTICAL, 2020-2030,($MILLION)
TABLE 137. LAMEA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COUNTRY, 2020-2030,($MILLION)
TABLE 138. BRAZIL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 139. BRAZIL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 140. BRAZIL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 141. BRAZIL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 142. BRAZIL WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 143. SAUDI ARABIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 144. SAUDI ARABIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 145. SAUDI ARABIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 146. SAUDI ARABIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 147. SAUDI ARABIA WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 148. UAE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY COMPONENT 2020-2030,($MILLION)
TABLE 149. UAE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY DEPLOYMENT MODE 2020-2030,($MILLION)
TABLE 150. UAE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY ORGANIZATION SIZE 2020-2030,($MILLION)
TABLE 151. UAE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY TYPE 2020-2030,($MILLION)
TABLE 152. UAE WORLD NATURAL LANGUAGE PROCESSING (NLP) MARKET BY INDUSTRY VERTICAL 2020-2030,($MILLION)
TABLE 153.APPLE INC.: COMPANY SNAPSHOT
TABLE 154.APPLE INC.: OPERATING SEGMENTS
TABLE 155.APPLE INC.: PRODUCT PORTFOLIO
TABLE 156.APPLE INC.: NET SALES,
TABLE 157.APPLE INC.: KEY STRATERGIES
TABLE 158.FACEBOOK: COMPANY SNAPSHOT
TABLE 159.FACEBOOK: OPERATING SEGMENTS
TABLE 160.FACEBOOK: PRODUCT PORTFOLIO
TABLE 161.FACEBOOK: NET SALES,
TABLE 162.FACEBOOK: KEY STRATERGIES
TABLE 163.GOOGLE INC.: COMPANY SNAPSHOT
TABLE 164.GOOGLE INC.: OPERATING SEGMENTS
TABLE 165.GOOGLE INC.: PRODUCT PORTFOLIO
TABLE 166.GOOGLE INC.: NET SALES,
TABLE 167.GOOGLE INC.: KEY STRATERGIES
TABLE 168.HEWLETT-PACKARD ENTERPRISE: COMPANY SNAPSHOT
TABLE 169.HEWLETT-PACKARD ENTERPRISE: OPERATING SEGMENTS
TABLE 170.HEWLETT-PACKARD ENTERPRISE: PRODUCT PORTFOLIO
TABLE 171.HEWLETT-PACKARD ENTERPRISE: NET SALES,
TABLE 172.HEWLETT-PACKARD ENTERPRISE: KEY STRATERGIES
TABLE 173.IBM CORPORATION: COMPANY SNAPSHOT
TABLE 174.IBM CORPORATION: OPERATING SEGMENTS
TABLE 175.IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 176.IBM CORPORATION: NET SALES,
TABLE 177.IBM CORPORATION: KEY STRATERGIES
TABLE 178.INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 179.INTEL CORPORATION: OPERATING SEGMENTS
TABLE 180.INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 181.INTEL CORPORATION: NET SALES,
TABLE 182.INTEL CORPORATION: KEY STRATERGIES
TABLE 183.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 184.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 185.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 186.MICROSOFT CORPORATION: NET SALES,
TABLE 187.MICROSOFT CORPORATION: KEY STRATERGIES
TABLE 188.NARRATIVE SCIENCE: COMPANY SNAPSHOT
TABLE 189.NARRATIVE SCIENCE: OPERATING SEGMENTS
TABLE 190.NARRATIVE SCIENCE: PRODUCT PORTFOLIO
TABLE 191.NARRATIVE SCIENCE: NET SALES,
TABLE 192.NARRATIVE SCIENCE: KEY STRATERGIES
TABLE 193.SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 194.SAS INSTITUTE INC.: OPERATING SEGMENTS
TABLE 195.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 196.SAS INSTITUTE INC.: NET SALES,
TABLE 197.SAS INSTITUTE INC.: KEY STRATERGIES
TABLE 198.VERINT SYSTEMS, INC.: COMPANY SNAPSHOT
TABLE 199.VERINT SYSTEMS, INC.: OPERATING SEGMENTS
TABLE 200.VERINT SYSTEMS, INC.: PRODUCT PORTFOLIO
TABLE 201.VERINT SYSTEMS, INC.: NET SALES,
TABLE 202.VERINT SYSTEMS, INC.: KEY STRATERGIES

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