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Natural Language Processing (NLP) Technology in Artificial Intelligence Market Trends and Forecast

 
The future of the global natural language processing (NLP) technology in the global artificial intelligence market looks promising with opportunities in the BFSI, IT & telecom, retail and ecommerce, healthcare and life science, transportation & logistic, government & public sector, media & entertainment, and manufacturing end use industries. The natural language processing (NLP) technology in the global artificial intelligence market is expected to reach an estimated $7.3 billion by 2028 with a CAGR of 15.9% from 2023 to 2028. The major drivers for this market are rapid acceptance of smart devices, growing demand for advanced text analytics, and emerging requirement for data management owing to increasing complexity in major businesses. 
 
Natural Language Processing (NLP) Technology in Artificial Intelligence Market
A more than 150-page report is developed to help in your business decisions. A sample figure with some insights is shown below. 
 
Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Segments

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Segments

The study includes trends and forecast for natural language processing (NLP) technology in the global artificial intelligence market by component, type, deployment, application, end use industry, and region, as follows:

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Solutions
  • Servicios

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Type [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Statistical NLP
  • Rule Based NLP
  • Hybrid NLP

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Deployment [Value ($B) Shipment Analysis from 2017 to 2028]:

  • On-Premises
  • Cloud

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:

  • Customer Experience Management
  • Virtual Assistants/ Chatbots
  • Social Media Monitoring
  • Sentiment Analysis
  • Text Clarification & Summarization
  • Employee Onboarding & Recruiting
  • Otros

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by End Use Industry [Value ($B) Shipment Analysis from 2017 to 2028]:

  • BFSI
  • IT & Telecom
  • Retail and Ecommerce
  • Healthcare and Life Sciences
  • Transportation & Logistics
  • Government & Public Sector
  • Medios y entretenimiento
  • Manufacturing
  • Otros

Natural Language Processing (NLP) Technology in Artificial Intelligence Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:

  • América del norte
  • Europa
  • Asia Pacífico
  • The Rest of the World

List of Natural Language Processing (NLP) Technology in Artificial Intelligence Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies, natural language processing (NLP) technology in artificial intelligence companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the natural language processing (NLP) technology companies in the global artificial intelligence market in this report include-

Natural Language Processing (NLP) Technology in Artificial Intelligence Market Insights

  • Lucintel forecasts that on-premise will remain the larger deployment segment over the forecast period because it ensures full control, visibility, and authentication security controls over data.
  • Within this market, BFSI will remain the largest end use industry segment from 2023 to 2028 because it helps the companies in mitigating risk through information retrieval, intent parsing, customer services, and compliance process automation.
  • North America will remain the largest region during the forecast period due to the presence of AI and machine learning (ML) technology, increasing R&D activities, and ongoing advancements in cloud computing platforms in the region.

Features of the Natural Language Processing (NLP) Technology in Artificial Intelligence Market

  • Market Size Estimates: Natural language processing (NLP) technology in artificial intelligence market size estimation in terms of value ($B)
  • Trend and Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
  • Segmentation Analysis: Natural language processing (NLP) technology in the artificial intelligence market size by various segments, such as by component, type, deployment, application, end use industry, and region
  • Regional Analysis: Natural language processing (NLP) technology in artificial intelligence market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different components, types, deployments, applications, end use industries, and regions for the natural language processing (NLP) technology in the artificial intelligence market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the natural language processing (NLP) technology in the artificial intelligence market.
  • Análisis de la intensidad competitiva de la industria basada en el modelo de cinco fuerzas de Porter.

Preguntas frecuentes

Q1. What is the global artificial intelligence market size in terms of natural language processing (NLP) technology usage?
Answer: The global artificial intelligence market in terms of natural language processing (NLP) technology usage is expected to reach an estimated $7.3 billion by 2028.
Q2. What is the growth forecast for natural language processing (NLP) technology in the artificial intelligence market?
Answer: The global artificial intelligence market in terms of natural language processing (NLP) technology usage is expected to grow with a CAGR of 15.9% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the natural language processing (NLP) technology in the artificial intelligence market?
Answer: The major drivers for this market are the rapid acceptance of smart devices, growing demand for advanced text analytics, and emerging requirement for data management owing to increasing complexity in major businesses.
Q4. What are the major segments for natural language processing (NLP) technology in the artificial intelligence market?
Answer: The future of the natural language processing (NLP) technology in the global artificial intelligence market looks promising with opportunities in the BFSI, IT & telecom, retail and ecommerce, healthcare and life science, transportation & logistic, government & public sector, media & entertainment, and manufacturing end use industries.
Q5. Who are the key natural language processing (NLP) technology companies in the global artificial intelligence market?
Answer: Some of the key natural language processing (NLP) technology companies in the global artificial intelligence market are as follows:
  • 3M
  • Manzana
  • AWS
  • Baidu
  • Google LLC
  • IBM Corporation
  • Meta
  • Microsoft
  • Oracle
  • Inbenta
  • IQVIA
Q6. Which natural language processing (NLP) technology in artificial intelligence segment will be the largest in future?
Answer: Lucintel forecasts that on-premise will remain the larger deployment segment over the forecast period because it ensures full control, visibility, and authentication security controls over data.
Q7. In natural language processing (NLP) technology in artificial intelligence market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region during the forecast period due to the presence of AI and machine learning (ML) technology, increasing R&D activities, and ongoing advancements in cloud computing platforms in the region.
Q8. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.
 

Este informe responde después de 11 preguntas clave

Q.1. What are some of the most promising, high-growth opportunities for the natural language processing (NLP) technology in the global artificial intelligence market by component (solutions and services), type (statistical NLP, rule based NLP, and hybrid NLP), deployment (on-premises and cloud), application (customer experience management, virtual assistants/ chatbots, social media monitoring, sentiment analysis, text clarification & summarization, employee onboarding & recruiting, and others), end use industry (BFSI, IT & telecom, retail and ecommerce, healthcare and life sciences, transportation & logistics, government & public sector, media & entertainment, manufacturing, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity did occur in the last five years and how did they impact the industry?

For any questions related to Natural Language Processing (NLP) technology in the global artificial intelligence market or related to Natural Language Processing (NLP) technology in the global artificial intelligence companies, Natural Language Processing (NLP) technology in the global artificial intelligence market size, Natural Language Processing (NLP) technology in the global artificial intelligence market share, Natural Language Processing (NLP) technology in the global artificial intelligence analysis, Natural Language Processing (NLP) technology in the global artificial intelligence market growth, Natural Language Processing (NLP) technology in the global artificial intelligence market research, write Lucintel analyst at email: helpDesk@lucintel.com we will be glad to get back to you soon.
Tabla de contenido
 
1. Executive Summary

2. Global Natural Language Processing (NLP) Technology in Artificial Intelligence Market: Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 

3. Market Trends and Forecast Analysis from 2017 to 2028
3.1. Macroeconomic Trends (2017-2022) and Forecast (2023-2028)
3.2. Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market Trends (2017-2022) and Forecast (2023-2028)
3.3: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Component 
3.3.1 Solutions 
3.3.2 Services 
3.4: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Type 
3.4.1 Statistical NLP
3.4.2 Rule Based NLP
3.4.3 Hybrid NLP
3.5: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Deployment 
3.5.1 On-Premises
3.5.2 Cloud 
3.6: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Application 
3.6.1 Customer Experience Management
3.6.2 Virtual Assistants/ Chatbots
3.6.3 Social Media Monitoring 
3.6.4 Sentiment Analysis
3.6.5 Text Clarification & Summarization 
3.6.6 Employee Onboarding & Recruiting
3.6.7 Others 
3.7: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by End Use Industry 
3.7.1 BFSI
3.7.2 IT and Telecom 
3.7.3 Retail and Ecommerce 
3.7.4 Healthcare and Life Sciences 
3.7.5 Transportation & Logistics 
3.7.6 Government & Public Sector 
3.7.7 Media & Entertainment
3.7.8 Manufacturing
3.7.9 Others 

4. Market Trends and Forecast Analysis by Region from 2017 to 2028
4.1: Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Region
4.2: Natural Language Processing (NLP) Technology in North American Artificial Intelligence Market 
4.2.1: Natural Language Processing (NLP) Technology in North American Artificial Intelligence Market by Deployment: On-Premises and Cloud
4.2.2: Natural Language Processing (NLP) Technology in North American Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecom, Retail and Ecommerce, Healthcare and Life Sciences, Transportation & Logistics, Government & Public Sector, Media & Entertainment, Manufacturing, and Others
4.3: Natural Language Processing (NLP) Technology in European Artificial Intelligence Market 
4.3.1: Natural Language Processing (NLP) Technology in European Artificial Intelligence Market by Deployment: On-Premises and Cloud  
4.3.2: Natural Language Processing (NLP) Technology in European Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecom, Retail and Ecommerce, Healthcare and Life Sciences, Transportation & Logistics, Government & Public Sector, Media & Entertainment, Manufacturing, and Others
4.4: Natural Language Processing (NLP) Technology in APAC Artificial Intelligence Market 
4.4.1: Natural Language Processing (NLP) Technology in APAC Artificial Intelligence Market by Deployment: On-Premises and Cloud 
4.4.2: Natural Language Processing (NLP) Technology in APAC Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecom, Retail and Ecommerce, Healthcare and Life Sciences, Transportation & Logistics, Government & Public Sectors, Media & Entertainment, Manufacturing, and Others
4.5: Natural Language Processing (NLP) Technology in ROW Artificial Intelligence Market 
4.5.1: Natural Language Processing (NLP) Technology in ROW Artificial Intelligence Market by Deployment: On-Premises and Cloud 
4.5.2: Natural Language Processing (NLP) Technology in ROW Artificial Intelligence Market by End Use Industry: BFSI, IT & Telecom, Retail and Ecommerce, Healthcare and Life Sciences, Transportation & Logistics, Government & Public Sectors, Media & Entertainment, Manufacturing, and Others

5. Competitor Analysis  
5.1: Product Portfolio Analysis  
5.2: Operational Integration  
5.3: Porter’s Five Forces Analysis   

6. Growth Opportunities and Strategic Analysis  
6.1: Growth Opportunity Analysis   
6.1.1: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Component 
6.1.2: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Type 
6.1.3: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Deployment 
6.1.4: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Application 
6.1.5: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by End Use Industry 
6.1.6: Growth Opportunities for the Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market by Region 
6.2: Emerging Trends in Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market   
6.3: Strategic Analysis   
6.3.1: New Product Development   
6.3.2: Capacity Expansion of Natural Language Processing (NLP) Technology in the Global Artificial Intelligence Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Artificial Intelligence Market in terms of Natural Language Processing (NLP) Technology    
6.3.4: Certification and Licensing   

7. Company Profiles of Leading Players  
7.1 3M
7.2 Apple
7.3 AWS
7.4 Baidu
7.5 Google LLC
7.6 IBM Corporation
7.7 Meta
7.8 Microsoft
7.9 Oracle
7.10 Inbenta
7.11 IQVIA 
 
.

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Por lo tanto, Lucintel compila grandes cantidades de datos de numerosas fuentes, valida la integridad de esos datos y realiza un análisis exhaustivo. Lucintel luego organiza los datos, sus hallazgos y las ideas sobre un informe conciso diseñado para respaldar el proceso estratégico de toma de decisiones. La siguiente figura es una representación gráfica del proceso de investigación de Lucintel. 
 

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