Global Natural Language Processing (NLP) Professional Market Insights, Players, Region, Type & Application Analysis 2018-2029

Report ID: ARS12089 | Category: Information Technology & Telecommunication | Pages: 96 | Format: PDF | Published Date: December 18,2023

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Report Summary

The global Natural Language Processing (NLP) market size in 2022 is 15764.3 million US dollars, and it is expected to be 77775.8 million US dollars by 2029, with a compound annual growth rate of 25.61% expected in 2023-2029.

MARKET COMPETITIVE LANDSCAPE:
The main players in the Natural Language Processing (NLP) market include 3M, Addepto, Apple, Automated Insights, and Aws. The share of the top 3 players in the Natural Language Processing (NLP) market is XX%.

REGION SHARE:
The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, and North America accounted for XX%, Europe accounted for XX% of Natural Language Processing (NLP) market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:
The report segments the market by Type and Application. Solutions accounted for XX% of Natural Language Processing (NLP) market in 2022. Services share of XX%.
Customer Experience Management accounted for XX% of the Natural Language Processing (NLP) market in 2022. Sentiment Analysis accounts for XX%.

The cumulative impact of COVID-19, Russia-Ukraine conflict, and high inflation is expected to have a significant long-term impact on the global Natural Language Processing (NLP) markets. Ongoing research considers changes in consumer behavior, supply chain disruptions, and government intervention caused by the pandemic. Likewise, the report considers the ongoing political and economic uncertainty in Eastern Europe caused by the Russia-Ukraine conflict and its potential impact on the supply-demand balance, pressure on pricing variables, and import, export, and trade. In addition, the report discusses the impact of high inflation on the global economy and details fiscal policies to measure and reduce its impact on demand, supply, cash flows, and currency exchange.

Market Statistics:
Reports provide market sizes and forecasts for multiple major currencies (USD, EUR, JPY, GBP, CNY, etc.); multi-currency support helps organizational leaders make informed decisions. This report takes 2018-2021 as the historical year, 2022 as the base year, 2023 as the semi-forecast year, and 2024-2029 as the full forecast year.

Market Share Analysis:
Market share analysis provides deep insights into the current status of vendors in a particular market space. By comparing suppliers' contributions to total revenue, customer base, and other key metrics, we can give companies a better understanding of their performance and the challenges they face as they compete for market share. The analysis also sheds light on the competitiveness of any given sector in terms of accumulation, diversification of strengths, and consolidation characteristics during the base year studied.

The report provides insights on the following metrics:
Market Penetration: Provides comprehensive information on the market offered by key players
Market Diversification: Provides detailed information on new product launches, greenfield regions, recent developments and investments
Market Trends: A Big Picture of the Cumulative Impact of COVID-19, Russia-Ukraine Conflict, and High Inflation
Competitive assessment and intelligence: Provides an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape and manufacturing capabilities of leading players
Product Development & Innovation: Provides intelligent insights into future technologies, R&D activities, and breakthrough product developments
Market Segmentation: Segment by Type, Application, and Region to provide detailed insights into market information.

Chapter Outline
   Chapter 1: Introduces the product overview, market scope, product classification, application, and regional division, and then includes inflation analysis, the impact of the Russo-Ukrainian war on the market, and the global impact of the coronavirus disease (COVID-19).
   Chapter 2: Analysis of the competitive environment of Natural Language Processing (NLP) market participants. This mainly includes the revenue and market share of the top players, along with the players' M&A and expansion in recent years.
   Chapter 3: Analyzes the main companies in the Natural Language Processing (NLP) industry, including their main businesses, products/services, revenue, gross and gross margin.
   Chapters 4-6: Segmented the global Natural Language Processing (NLP) market by type, application and region. Analyze the revenue of market segments from different perspectives.
   Chapters 7-15: Provide North America, Europe, China, Japan, Korea, Southeast Asia, India, South America and Middle East & Africa Natural Language Processing (NLP) market type, application, PEST analysis and players market segmentation data.
   Chapter 16: Analyzes the Natural Language Processing (NLP) business cost, including industrial chain and the proportion of business cost structure.
   Chapter 17: Introduces the market dynamics, the trends factors and drivers factors of the market, and the challenges and restraints faced by manufacturers in the industry.
   Chapter 18: The main points and conclusions of the report.

Highlights-Regions
   North America
   Europe
   China
   Japan
   Korea
   Southeast Asia
   India
   South America
   Middle East & Africa	

Player list
	   3M
	   Addepto
	   Apple
	   Automated Insights
	   Aws
	   Baidu
	   Bitext
	   Conversica
	   Crayon Data
	   Deepset
	   Dheeyantra
	   Dolbey
	   Eigen Technologies
	   Ellipsis Health
	   Gnani.Ai
	   Google
	   Health Fidelity
	   Ibm
	   Inbenta
	   Iqvia
	   Liveperson
	   Meta
	   Microsoft
	   Mindmeld
	   Narrativa
	   Observe.Ai
	   Oracle
	   Ragavera
	   Sas Institute
	   Soundhound
	   Veritone

Types list
	   Solutions
	   Services

Application list
   	Customer Experience Management
   	Sentiment Analysis
   	Social Media Monitoring
   	Employee Onboarding & Recruiting

Table of Content

1 Natural Language Processing (NLP) Market Introduction and Overview
1.1 Natural Language Processing (NLP) Definition
1.2 Market Size Analysis by Types
1.3 Market Size Analysis by Application
1.4 Research Purposes
1.5 Report Timeline
1.6 Economic Analysis of Global Regions
1.7 Inflation Analysis
1.8 The Impact of the Russian-Ukrainian War on the Market
2 Market Competition by Manufacturers
2.1 Global Natural Language Processing (NLP) Revenue and Market Share by Manufacturer
2.2 Manufacturers Natural Language Processing (NLP) Production Sites, Area Served, Product Types
2.3 Natural Language Processing (NLP) Market Competitive Situation and Trends
2.3.1 Natural Language Processing (NLP) Market Concentration Rate
2.3.2 Global Top 5 and Top 10 Players Market Share by Revenue in 2023
2.3.3 Mergers & Acquisitions, Expansion
3 Players Profiles
3.1 3M
3.1.1 3M Company Profile
3.1.2 Natural Language Processing (NLP) Product Overview
3.1.3 3M Natural Language Processing (NLP) Market Performance (2018-2023)
3.1.4 3M Business Overview
3.2 Addepto
3.2.1 Addepto Company Profile
3.2.2 Natural Language Processing (NLP) Product Overview
3.2.3 Addepto Natural Language Processing (NLP) Market Performance (2018-2023)
3.2.4 Addepto Business Overview
3.3 Apple
3.3.1 Apple Company Profile
3.3.2 Natural Language Processing (NLP) Product Overview
3.3.3 Apple Natural Language Processing (NLP) Market Performance (2018-2023)
3.3.4 Apple Business Overview
3.4 Automated Insights
3.4.1 Automated Insights Company Profile
3.4.2 Natural Language Processing (NLP) Product Overview
3.4.3 Automated Insights Natural Language Processing (NLP) Market Performance (2018-2023)
3.4.4 Automated Insights Business Overview
3.5 Aws
3.5.1 Aws Company Profile
3.5.2 Natural Language Processing (NLP) Product Overview
3.5.3 Aws Natural Language Processing (NLP) Market Performance (2018-2023)
3.5.4 Aws Business Overview
3.6 Baidu
3.6.1 Baidu Company Profile
3.6.2 Natural Language Processing (NLP) Product Overview
3.6.3 Baidu Natural Language Processing (NLP) Market Performance (2018-2023)
3.6.4 Baidu Business Overview
3.7 Bitext
3.7.1 Bitext Company Profile
3.7.2 Natural Language Processing (NLP) Product Overview
3.7.3 Bitext Natural Language Processing (NLP) Market Performance (2018-2023)
3.7.4 Bitext Business Overview
3.8 Conversica
3.8.1 Conversica Company Profile
3.8.2 Natural Language Processing (NLP) Product Overview
3.8.3 Conversica Natural Language Processing (NLP) Market Performance (2018-2023)
3.8.4 Conversica Business Overview
3.9 Crayon Data
3.9.1 Crayon Data Company Profile
3.9.2 Natural Language Processing (NLP) Product Overview
3.9.3 Crayon Data Natural Language Processing (NLP) Market Performance (2018-2023)
3.9.4 Crayon Data Business Overview
3.10 Deepset
3.10.1 Deepset Company Profile
3.10.2 Natural Language Processing (NLP) Product Overview
3.10.3 Deepset Natural Language Processing (NLP) Market Performance (2018-2023)
3.10.4 Deepset Business Overview
3.11 Dheeyantra
3.11.1 Dheeyantra Company Profile
3.11.2 Natural Language Processing (NLP) Product Overview
3.11.3 Dheeyantra Natural Language Processing (NLP) Market Performance (2018-2023)
3.11.4 Dheeyantra Business Overview
3.12 Dolbey
3.12.1 Dolbey Company Profile
3.12.2 Natural Language Processing (NLP) Product Overview
3.12.3 Dolbey Natural Language Processing (NLP) Market Performance (2018-2023)
3.12.4 Dolbey Business Overview
3.13 Eigen Technologies
3.13.1 Eigen Technologies Company Profile
3.13.2 Natural Language Processing (NLP) Product Overview
3.13.3 Eigen Technologies Natural Language Processing (NLP) Market Performance (2018-2023)
3.13.4 Eigen Technologies Business Overview
3.14 Ellipsis Health
3.14.1 Ellipsis Health Company Profile
3.14.2 Natural Language Processing (NLP) Product Overview
3.14.3 Ellipsis Health Natural Language Processing (NLP) Market Performance (2018-2023)
3.14.4 Ellipsis Health Business Overview
3.15 Gnani.Ai
3.15.1 Gnani.Ai Company Profile
3.15.2 Natural Language Processing (NLP) Product Overview
3.15.3 Gnani.Ai Natural Language Processing (NLP) Market Performance (2018-2023)
3.15.4 Gnani.Ai Business Overview
3.16 Google
3.16.1 Google Company Profile
3.16.2 Natural Language Processing (NLP) Product Overview
3.16.3 Google Natural Language Processing (NLP) Market Performance (2018-2023)
3.16.4 Google Business Overview
3.17 Health Fidelity
3.17.1 Health Fidelity Company Profile
3.17.2 Natural Language Processing (NLP) Product Overview
3.17.3 Health Fidelity Natural Language Processing (NLP) Market Performance (2018-2023)
3.17.4 Health Fidelity Business Overview
3.18 Ibm
3.18.1 Ibm Company Profile
3.18.2 Natural Language Processing (NLP) Product Overview
3.18.3 Ibm Natural Language Processing (NLP) Market Performance (2018-2023)
3.18.4 Ibm Business Overview
3.19 Inbenta
3.19.1 Inbenta Company Profile
3.19.2 Natural Language Processing (NLP) Product Overview
3.19.3 Inbenta Natural Language Processing (NLP) Market Performance (2018-2023)
3.19.4 Inbenta Business Overview
3.20 Iqvia
3.20.1 Iqvia Company Profile
3.20.2 Natural Language Processing (NLP) Product Overview
3.20.3 Iqvia Natural Language Processing (NLP) Market Performance (2018-2023)
3.20.4 Iqvia Business Overview
3.21 Liveperson
3.21.1 Liveperson Company Profile
3.21.2 Natural Language Processing (NLP) Product Overview
3.21.3 Liveperson Natural Language Processing (NLP) Market Performance (2018-2023)
3.21.4 Liveperson Business Overview
3.22 Meta
3.22.1 Meta Company Profile
3.22.2 Natural Language Processing (NLP) Product Overview
3.22.3 Meta Natural Language Processing (NLP) Market Performance (2018-2023)
3.22.4 Meta Business Overview
3.23 Microsoft
3.23.1 Microsoft Company Profile
3.23.2 Natural Language Processing (NLP) Product Overview
3.23.3 Microsoft Natural Language Processing (NLP) Market Performance (2018-2023)
3.23.4 Microsoft Business Overview
3.24 Mindmeld
3.24.1 Mindmeld Company Profile
3.24.2 Natural Language Processing (NLP) Product Overview
3.24.3 Mindmeld Natural Language Processing (NLP) Market Performance (2018-2023)
3.24.4 Mindmeld Business Overview
3.25 Narrativa
3.25.1 Narrativa Company Profile
3.25.2 Natural Language Processing (NLP) Product Overview
3.25.3 Narrativa Natural Language Processing (NLP) Market Performance (2018-2023)
3.25.4 Narrativa Business Overview
3.26 Observe.Ai
3.26.1 Observe.Ai Company Profile
3.26.2 Natural Language Processing (NLP) Product Overview
3.26.3 Observe.Ai Natural Language Processing (NLP) Market Performance (2018-2023)
3.26.4 Observe.Ai Business Overview
3.27 Oracle
3.27.1 Oracle Company Profile
3.27.2 Natural Language Processing (NLP) Product Overview
3.27.3 Oracle Natural Language Processing (NLP) Market Performance (2018-2023)
3.27.4 Oracle Business Overview
3.28 Ragavera
3.28.1 Ragavera Company Profile
3.28.2 Natural Language Processing (NLP) Product Overview
3.28.3 Ragavera Natural Language Processing (NLP) Market Performance (2018-2023)
3.28.4 Ragavera Business Overview
3.29 Sas Institute
3.29.1 Sas Institute Company Profile
3.29.2 Natural Language Processing (NLP) Product Overview
3.29.3 Sas Institute Natural Language Processing (NLP) Market Performance (2018-2023)
3.29.4 Sas Institute Business Overview
3.30 Soundhound
3.30.1 Soundhound Company Profile
3.30.2 Natural Language Processing (NLP) Product Overview
3.30.3 Soundhound Natural Language Processing (NLP) Market Performance (2018-2023)
3.30.4 Soundhound Business Overview
3.31 Veritone
3.31.1 Veritone Company Profile
3.31.2 Natural Language Processing (NLP) Product Overview
3.31.3 Veritone Natural Language Processing (NLP) Market Performance (2018-2023)
3.31.4 Veritone Business Overview
4 Global Natural Language Processing (NLP) Historical and Forecast Market Analysis by Type
4.1 Global Natural Language Processing (NLP) Revenue and Market Share by Type
4.2 Global Natural Language Processing (NLP) Revenue Market Forecast by Type (2023-2029)
5 Global Natural Language Processing (NLP) Historical and Forecast Market Analysis by Application
5.1 Global Natural Language Processing (NLP) Revenue Market Share by Application (2018-2023)
5.2 Natural Language Processing (NLP) Revenue Market Forecast by Application (2023-2029)
6 Global Market Growth Trends Analysis
6.1 Global Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2 Natural Language Processing (NLP) Growth Trends Analysis by Regions
6.2.1 Natural Language Processing (NLP) Market Size by Regions: 2018 VS 2023 VS 2029
6.2.2 Natural Language Processing (NLP) Historic Revenue Market Size by Regions (2018-2023)
6.2.3 Natural Language Processing (NLP) Forecasted Revenue Market Size by Regions (2023-2029)
6.2.4 North America Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.5 Europe Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.6 China Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.7 Japan Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.8 Korea Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.9 Southeast Asia Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.10 India Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.11 South America Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
6.2.12 Middle East & Africa Natural Language Processing (NLP) Market Size & Forecast (2018-2029)
7 North America
7.1 North America Natural Language Processing (NLP) Revenue by Players
7.2 North America Natural Language Processing (NLP) Revenue by Types
7.3 North America Natural Language Processing (NLP) Revenue by Applications
7.4 North America Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
7.5 North America PEST Analysis
8 Europe
8.1 Europe Natural Language Processing (NLP) Revenue by Players
8.2 Europe Natural Language Processing (NLP) Revenue by Types
8.3 Europe Natural Language Processing (NLP) Revenue by Applications
8.4 Europe Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
8.5 Europe PEST Analysis
9 China
9.1 China Natural Language Processing (NLP) Revenue by Players
9.2 China Natural Language Processing (NLP) Revenue by Types
9.3 China Natural Language Processing (NLP) Revenue by Applications
9.4 China Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
9.5 China PEST Analysis
10 Japan
10.1 Japan Natural Language Processing (NLP) Revenue by Players
10.2 Japan Natural Language Processing (NLP) Revenue by Types
10.3 Japan Natural Language Processing (NLP) Revenue by Applications
10.4 Japan Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
10.5 Japan PEST Analysis
11 Korea
11.1 Korea Natural Language Processing (NLP) Revenue by Players
11.2 Korea Natural Language Processing (NLP) Revenue by Types
11.3 Korea Natural Language Processing (NLP) Revenue by Applications
11.4 Korea Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
11.5 Korea PEST Analysis
12 Southeast Asia
12.1 Southeast Asia Natural Language Processing (NLP) Revenue by Players
12.2 Southeast Asia Natural Language Processing (NLP) Revenue by Types
12.3 Southeast Asia Natural Language Processing (NLP) Revenue by Applications
12.4 Southeast Asia Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
12.5 Southeast Asia PEST Analysis
13 India
13.1 India Natural Language Processing (NLP) Revenue by Players
13.2 India Natural Language Processing (NLP) Revenue by Types
13.3 India Natural Language Processing (NLP) Revenue by Applications
13.4 India Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
13.5 India PEST Analysis
14 South America
14.1 South America Natural Language Processing (NLP) Revenue by Players
14.2 South America Natural Language Processing (NLP) Revenue by Types
14.3 South America Natural Language Processing (NLP) Revenue by Applications
14.4 South America Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
14.5 South America PEST Analysis
15 Middle East & Africa
15.1 Middle East & Africa Natural Language Processing (NLP) Revenue by Players
15.2 Middle East & Africa Natural Language Processing (NLP) Revenue by Types
15.3 Middle East & Africa Natural Language Processing (NLP) Revenue by Applications
15.4 Middle East & Africa Natural Language Processing (NLP) Revenue, Gross and Gross Margin (2018-2023)
15.5 Middle East & Africa PEST Analysis
16 Natural Language Processing (NLP) Business Cost Analysis
16.1 Proportion of Business Cost Structure
16.1.1 Labor Cost
16.1.2 Operating Expenses
16.2 Natural Language Processing (NLP) Industrial Chain Analysis
17 Natural Language Processing (NLP) Industry Dynamic Analysis
17.1 Natural Language Processing (NLP) Market Trends Analysis
17.2 Natural Language Processing (NLP) Market Drivers Analysis
17.3 Natural Language Processing (NLP) Market Challenges Analysis
17.4 Natural Language Processing (NLP) Market Restraints Analysis
18 Research Findings and Conclusion

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Global Natural Language Processing (NLP) Professional Market Insights, Players, Region, Type & Application Analysis 2018-2029

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