Technology Landscape, Trends and Opportunities in the Global Natural Language Processing Market
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The technologies in natural language processing has undergone significant change in recent years, with traditional neural network models t%li%advanced pretrained language models. The rising wave of new technologies, such as IVR and speech analytics are creating significant potential for natural language processing in media and advertising, security, and automotive applications, and driving the demand for natural language processing.
In natural language processing market, various technologies, such as interactive voice response (IVR), optical character recognition (OCR), pattern and image recognition, aut%li%coding, classification and categorization, text analytics, speech analytics, professional services, support and maintenance services are used in various applications. Increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology are creating new opportunities for various natural language processing technologies.
This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the natural language processing market. Some insights are depicted below by a sample figure. For more details on figures, the companies researched, and other objectives/benefits on this research report, please download the report brochure.
The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global natural language processing technology by application, technology, and region as follows:
Technology Readiness by Technology Type
Competitive Intensity and Regulatory Compliance
Disruption Potential by Technology Type
Trends and Forecasts by Technology [$M shipment analysis from 2018 t%li%2030]:
Companies / Ecosystems
Strategic Opportunities by Technology Type
Some of the natural language processing companies profiled in this report include 3M, Apple Incorporation, Dolbey Systems, Google, HPE, IBM Incorporation, Microsoft Corporation, NetBase Solutions, SAS Institute, and Verint Systems.
This report answers following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the natural language processing market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in natural language processing market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the business risks and threats t%li%these technologies in natural language processing market?
Q.6 What are the latest developments in natural language processing technologies? Which companies are leading these developments?
Q.7 Which technologies have potential of disruption in this market?
Q.8 Wh%li%are the major players in this natural language processing market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this natural language processing technology space?
The technologies in natural language processing has undergone significant change in recent years, with traditional neural network models t%li%advanced pretrained language models. The rising wave of new technologies, such as IVR and speech analytics are creating significant potential for natural language processing in media and advertising, security, and automotive applications, and driving the demand for natural language processing.
In natural language processing market, various technologies, such as interactive voice response (IVR), optical character recognition (OCR), pattern and image recognition, aut%li%coding, classification and categorization, text analytics, speech analytics, professional services, support and maintenance services are used in various applications. Increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology are creating new opportunities for various natural language processing technologies.
This report analyzes technology maturity, degree of disruption, competitive intensity, market potential, and other parameters of various technologies in the natural language processing market. Some insights are depicted below by a sample figure. For more details on figures, the companies researched, and other objectives/benefits on this research report, please download the report brochure.
The study includes technology readiness, competitive intensity, regulatory compliance, disruption potential, trends, forecasts and strategic implications for the global natural language processing technology by application, technology, and region as follows:
Technology Readiness by Technology Type
Competitive Intensity and Regulatory Compliance
Disruption Potential by Technology Type
Trends and Forecasts by Technology [$M shipment analysis from 2018 t%li%2030]:
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Media and Advertising
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Security
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Automotive
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Healthcare
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Retail
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Fintech
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Manufacturing
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- Others
- Interactive Voice Response (IVR)
- Optical Character Recognition (OCR)
- Pattern and Image Recognition
- Aut%li%Coding
- Classification and Categorization
- Text Analytics
- Speech Analytics
- Professional Services
- Support and Maintenance Services
- North America
- United States
- Canada
- Mexico
- Europe
- United Kingdom
- Germany
- France
- Asia Pacific
- Japan
- China
- South Korea
- India
- The Rest of the World
Companies / Ecosystems
Strategic Opportunities by Technology Type
Some of the natural language processing companies profiled in this report include 3M, Apple Incorporation, Dolbey Systems, Google, HPE, IBM Incorporation, Microsoft Corporation, NetBase Solutions, SAS Institute, and Verint Systems.
This report answers following 9 key questions:
Q.1 What are some of the most promising and high-growth technology opportunities for the natural language processing market?
Q.2 Which technology will grow at a faster pace and why?
Q.3 What are the key factors affecting dynamics of different technologies? What are the drivers and challenges of these technologies in natural language processing market?
Q.4 What are the levels of technology readiness, competitive intensity and regulatory compliance in this technology space?
Q.5 What are the business risks and threats t%li%these technologies in natural language processing market?
Q.6 What are the latest developments in natural language processing technologies? Which companies are leading these developments?
Q.7 Which technologies have potential of disruption in this market?
Q.8 Wh%li%are the major players in this natural language processing market? What strategic initiatives are being implemented by key players for business growth?
Q.9 What are strategic growth opportunities in this natural language processing technology space?
1. EXECUTIVE SUMMARY
2. TECHNOLOGY LANDSCAPE
2.1. Technology Background and Evolution
2.2. Technology and Application Mapping
2.3. Supply Chain
3. TECHNOLOGY READINESS
3.1. Technology Commercialization and Readiness
3.2. Drivers and Challenges in Natural Language Processing Technologies
3.3. Competitive Intensity
3.4. Regulatory Compliance
4. TECHNOLOGY TRENDS AND FORECASTS ANALYSIS FROM 2018-2030
4.1. Natural Language Processing Opportunity
4.2. Technology Trends (2018-2023) and Forecasts (2024-2030)
4.2.1. Interactive Voice Response (IVR)
4.2.2. Optical Character Recognition (OCR)
4.2.3. Pattern and Image Recognition
4.2.4. Auto Coding
4.2.5. Classification and Categorization
4.2.6. Text Analytics
4.2.7. Speech Analytics
4.2.8. Professional Services
4.2.9. Support and Maintenance Services
4.3. Technology Trends (2018-2023) and Forecasts (2024-2030) by Application Segments
4.3.1. Media and Advertising
4.3.1.1. Interactive Voice Response (IVR)
4.3.1.2. Optical Character Recognition (OCR)
4.3.1.3. Pattern and Image Recognition
4.3.1.4. Auto Coding
4.3.1.5. Classification and Categorization
4.3.1.6. Text Analytics
4.3.1.7. Speech Analytics
4.3.1.8. Professional Services
4.3.1.9. Support and Maintenance Services
4.3.2. Security
4.3.2.1. Interactive Voice Response (IVR)
4.3.2.2. Optical Character Recognition (OCR)
4.3.2.3. Pattern and Image Recognition
4.3.2.4. Auto Coding
4.3.2.5. Classification and Categorization
4.3.2.6. Text Analytics
4.3.2.7. Speech Analytics
4.3.2.8. Professional Services
4.3.2.9. Support and Maintenance Services
4.3.3. Automotive
4.3.3.1. Interactive Voice Response (IVR)
4.3.3.2. Optical Character Recognition (OCR)
4.3.3.3. Pattern and Image Recognition
4.3.3.4. Auto Coding
4.3.3.5. Classification and Categorization
4.3.3.6. Text Analytics
4.3.3.7. Speech Analytics
4.3.3.8. Professional Services
4.3.3.9. Support and Maintenance Services
4.3.4. Healthcare
4.3.4.1. Interactive Voice Response (IVR)
4.3.4.2. Optical Character Recognition (OCR)
4.3.4.3. Pattern and Image Recognition
4.3.4.4. Auto Coding
4.3.4.5. Classification and Categorization
4.3.4.6. Text Analytics
4.3.4.7. Speech Analytics
4.3.4.8. Professional Services
4.3.4.9. Support and Maintenance Services
4.3.5. Retail
4.3.5.1. Interactive Voice Response (IVR)
4.3.5.2. Optical Character Recognition (OCR)
4.3.5.3. Pattern and Image Recognition
4.3.5.4. Auto Coding
4.3.5.5. Classification and Categorization
4.3.5.6. Text Analytics
4.3.5.7. Speech Analytics
4.3.5.8. Professional Services
4.3.5.9. Support and Maintenance Services
4.3.6. Fintech
4.3.6.1. Interactive Voice Response (IVR)
4.3.6.2. Optical Character Recognition (OCR)
4.3.6.3. Pattern and Image Recognition
4.3.6.4. Auto Coding
4.3.6.5. Classification and Categorization
4.3.6.6. Text Analytics
4.3.6.7. Speech Analytics
4.3.6.8. Professional Services
4.3.6.9. Support and Maintenance Services
4.3.7. Manufacturing
4.3.7.1. Interactive Voice Response (IVR)
4.3.7.2. Optical Character Recognition (OCR)
4.3.7.3. Pattern and Image Recognition
4.3.7.4. Auto Coding
4.3.7.5. Classification and Categorization
4.3.7.6. Text Analytics
4.3.7.7. Speech Analytics
4.3.7.8. Professional Services
4.3.7.9. Support and Maintenance Services
4.3.8. Others
4.3.8.1. Interactive Voice Response (IVR)
4.3.8.2. Optical Character Recognition (OCR)
4.3.8.3. Pattern and Image Recognition
4.3.8.4. Auto Coding
4.3.8.5. Classification and Categorization
4.3.8.6. Text Analytics
4.3.8.7. Speech Analytics
4.3.8.8. Professional Services
4.3.8.9. Support and Maintenance Services
5. TECHNOLOGY OPPORTUNITIES (2018-2030) BY REGION
5.1. Natural Language Processing Market by Region
5.2. North American Natural Language Processing Technology Market
5.2.1. United States Natural Language Processing Technology Market
5.2.2. Canadian Natural Language Processing Technology Market
5.2.3. Mexican Natural Language Processing Technology Market
5.3. European Natural Language Processing Technology Market
5.3.1. The United Kingdom Natural Language Processing Technology Market
5.3.2. German Automotive Natural Language Processing Technology Market
5.3.3. French Automotive Natural Language Processing Technology Market
5.4. APAC Natural Language Processing Technology Market
5.4.1. Chinese Natural Language Processing System Technology Market
5.4.2. Japanese Natural Language Processing System Technology Market
5.4.3. Indian Natural Language Processing System Technology Market
5.4.4. South Korean Natural Language Processing Technology Market
5.5. ROW Natural Language Processing Technology Market
6. LATEST DEVELOPMENTS AND INNOVATIONS IN THE NATURAL LANGUAGE PROCESSING TECHNOLOGIES
7. COMPANIES / ECOSYSTEM
7.1. Product Portfolio Analysis
7.2. Market Share Analysis
7.3. Geographical Reach
8. STRATEGIC IMPLICATIONS
8.1. Implications
8.2. Growth Opportunity Analysis
8.2.1. Growth Opportunities for the Natural Language Processing Market by Technology
8.2.2. Growth Opportunities for the Natural Language Processing Market by Application
8.2.3. Growth Opportunities for the Natural Language Processing Market by Region
8.3. Emerging Trends in the Natural Language Processing Market
8.4. Disruption Potential
8.5. Strategic Analysis
8.5.1. New Product Development
8.5.2. Capacity Expansion of the Natural Language Processing Market
8.5.3. Mergers, Acquisitions, and Joint Ventures in the Natural Language Processing Market
9. COMPANY PROFILES OF LEADING PLAYERS
9.1. 3M
9.2. Apple Incorporation
9.3. Dolbey Systems
9.4. Google
9.5. HPE
9.6. IBM Incorporation
9.7. Microsoft Corporation
9.8. NetBase Solutions
9.9. SAS Institute
9.10. Verint Systems
.
2. TECHNOLOGY LANDSCAPE
2.1. Technology Background and Evolution
2.2. Technology and Application Mapping
2.3. Supply Chain
3. TECHNOLOGY READINESS
3.1. Technology Commercialization and Readiness
3.2. Drivers and Challenges in Natural Language Processing Technologies
3.3. Competitive Intensity
3.4. Regulatory Compliance
4. TECHNOLOGY TRENDS AND FORECASTS ANALYSIS FROM 2018-2030
4.1. Natural Language Processing Opportunity
4.2. Technology Trends (2018-2023) and Forecasts (2024-2030)
4.2.1. Interactive Voice Response (IVR)
4.2.2. Optical Character Recognition (OCR)
4.2.3. Pattern and Image Recognition
4.2.4. Auto Coding
4.2.5. Classification and Categorization
4.2.6. Text Analytics
4.2.7. Speech Analytics
4.2.8. Professional Services
4.2.9. Support and Maintenance Services
4.3. Technology Trends (2018-2023) and Forecasts (2024-2030) by Application Segments
4.3.1. Media and Advertising
4.3.1.1. Interactive Voice Response (IVR)
4.3.1.2. Optical Character Recognition (OCR)
4.3.1.3. Pattern and Image Recognition
4.3.1.4. Auto Coding
4.3.1.5. Classification and Categorization
4.3.1.6. Text Analytics
4.3.1.7. Speech Analytics
4.3.1.8. Professional Services
4.3.1.9. Support and Maintenance Services
4.3.2. Security
4.3.2.1. Interactive Voice Response (IVR)
4.3.2.2. Optical Character Recognition (OCR)
4.3.2.3. Pattern and Image Recognition
4.3.2.4. Auto Coding
4.3.2.5. Classification and Categorization
4.3.2.6. Text Analytics
4.3.2.7. Speech Analytics
4.3.2.8. Professional Services
4.3.2.9. Support and Maintenance Services
4.3.3. Automotive
4.3.3.1. Interactive Voice Response (IVR)
4.3.3.2. Optical Character Recognition (OCR)
4.3.3.3. Pattern and Image Recognition
4.3.3.4. Auto Coding
4.3.3.5. Classification and Categorization
4.3.3.6. Text Analytics
4.3.3.7. Speech Analytics
4.3.3.8. Professional Services
4.3.3.9. Support and Maintenance Services
4.3.4. Healthcare
4.3.4.1. Interactive Voice Response (IVR)
4.3.4.2. Optical Character Recognition (OCR)
4.3.4.3. Pattern and Image Recognition
4.3.4.4. Auto Coding
4.3.4.5. Classification and Categorization
4.3.4.6. Text Analytics
4.3.4.7. Speech Analytics
4.3.4.8. Professional Services
4.3.4.9. Support and Maintenance Services
4.3.5. Retail
4.3.5.1. Interactive Voice Response (IVR)
4.3.5.2. Optical Character Recognition (OCR)
4.3.5.3. Pattern and Image Recognition
4.3.5.4. Auto Coding
4.3.5.5. Classification and Categorization
4.3.5.6. Text Analytics
4.3.5.7. Speech Analytics
4.3.5.8. Professional Services
4.3.5.9. Support and Maintenance Services
4.3.6. Fintech
4.3.6.1. Interactive Voice Response (IVR)
4.3.6.2. Optical Character Recognition (OCR)
4.3.6.3. Pattern and Image Recognition
4.3.6.4. Auto Coding
4.3.6.5. Classification and Categorization
4.3.6.6. Text Analytics
4.3.6.7. Speech Analytics
4.3.6.8. Professional Services
4.3.6.9. Support and Maintenance Services
4.3.7. Manufacturing
4.3.7.1. Interactive Voice Response (IVR)
4.3.7.2. Optical Character Recognition (OCR)
4.3.7.3. Pattern and Image Recognition
4.3.7.4. Auto Coding
4.3.7.5. Classification and Categorization
4.3.7.6. Text Analytics
4.3.7.7. Speech Analytics
4.3.7.8. Professional Services
4.3.7.9. Support and Maintenance Services
4.3.8. Others
4.3.8.1. Interactive Voice Response (IVR)
4.3.8.2. Optical Character Recognition (OCR)
4.3.8.3. Pattern and Image Recognition
4.3.8.4. Auto Coding
4.3.8.5. Classification and Categorization
4.3.8.6. Text Analytics
4.3.8.7. Speech Analytics
4.3.8.8. Professional Services
4.3.8.9. Support and Maintenance Services
5. TECHNOLOGY OPPORTUNITIES (2018-2030) BY REGION
5.1. Natural Language Processing Market by Region
5.2. North American Natural Language Processing Technology Market
5.2.1. United States Natural Language Processing Technology Market
5.2.2. Canadian Natural Language Processing Technology Market
5.2.3. Mexican Natural Language Processing Technology Market
5.3. European Natural Language Processing Technology Market
5.3.1. The United Kingdom Natural Language Processing Technology Market
5.3.2. German Automotive Natural Language Processing Technology Market
5.3.3. French Automotive Natural Language Processing Technology Market
5.4. APAC Natural Language Processing Technology Market
5.4.1. Chinese Natural Language Processing System Technology Market
5.4.2. Japanese Natural Language Processing System Technology Market
5.4.3. Indian Natural Language Processing System Technology Market
5.4.4. South Korean Natural Language Processing Technology Market
5.5. ROW Natural Language Processing Technology Market
6. LATEST DEVELOPMENTS AND INNOVATIONS IN THE NATURAL LANGUAGE PROCESSING TECHNOLOGIES
7. COMPANIES / ECOSYSTEM
7.1. Product Portfolio Analysis
7.2. Market Share Analysis
7.3. Geographical Reach
8. STRATEGIC IMPLICATIONS
8.1. Implications
8.2. Growth Opportunity Analysis
8.2.1. Growth Opportunities for the Natural Language Processing Market by Technology
8.2.2. Growth Opportunities for the Natural Language Processing Market by Application
8.2.3. Growth Opportunities for the Natural Language Processing Market by Region
8.3. Emerging Trends in the Natural Language Processing Market
8.4. Disruption Potential
8.5. Strategic Analysis
8.5.1. New Product Development
8.5.2. Capacity Expansion of the Natural Language Processing Market
8.5.3. Mergers, Acquisitions, and Joint Ventures in the Natural Language Processing Market
9. COMPANY PROFILES OF LEADING PLAYERS
9.1. 3M
9.2. Apple Incorporation
9.3. Dolbey Systems
9.4. Google
9.5. HPE
9.6. IBM Incorporation
9.7. Microsoft Corporation
9.8. NetBase Solutions
9.9. SAS Institute
9.10. Verint Systems
.
