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The technologies in natural language processing has undergone significant change in recent years, with traditional neural network models to 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, auto 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.

Some of the latest technological developments by various countries in the natural language processing market are as follows:
  • United States: Google, Microsoft, and IBM continue to invest heavily in research and development. Google's BERT model has seen widespread adoption, improving search and language understanding. Government initiatives like the National Artificial Intelligence Research Institutes program, aim to advance AI technologies including NLP
  • China: Alibaba and Tencent are pushing NLP innovations, leveraging vast amounts of data. Alibaba's NLP research focuses on improving chatbots and language understanding for e-commerce. The Chinese government's "New Generation Artificial Intelligence Development Plan" sets ambitious targets for AI, including NLP, aiming to make China a global leader in AI by 2030.
  • United Kingdom: DeepMind are driving NLP advancements, particularly in healthcare with projects like Streams, which uses NLP for patient data analysis. Government-funded initiatives, like the UKRI's AI for Science and Government Programme, support NLP research for various applications. Source: UKRI's AI for Science and Government Programme
  • India: Infosys and Wipro are expanding their NLP capabilities, focusing on chatbots and customer service automation. The Indian government's National Strategy for Artificial Intelligence aims to promote AI research and adoption, including NLP, to boost economic growth and social development
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.


Natural Language Processing Technology Market


Natural Language Processing Technology Segments

Natural Language Processing Technology Heat Map


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 to 2030]:
  • Interactive Voice Response (IVR)
  • Optical Character Recognition (OCR)
  • Pattern and Image Recognition
  • Auto Coding
  • Classification and Categorization
  • Text Analytics
  • Speech Analytics
  • Professional Services
  • Support and Maintenance Services

Technology Trends and Forecasts by Application [$M shipment analysis from 2018 to 2030]:
  • Media and Advertising
    • Interactive Voice Response (IVR)
    • Optical Character Recognition (OCR)
    • Pattern and Image Recognition
    • Auto 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
    • Auto 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
    • Auto 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
    • Auto 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
    • Auto 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
    • Auto 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
    • Auto 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
    • Auto Coding
    • Classification and Categorization
    • Text Analytics
    • Speech Analytics
    • Professional Services
    • Support and Maintenance Services

Technology Trends and Forecasts by Region [$M shipment analysis for 2018 to 2030]:
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
  • Asia Pacific
    • Japan
    • China
    • South Korea
    • India
  • The Rest of the World
 
Latest Developments and Innovations in the Natural Language Processing Technologies

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.
Below are the latest technological developments from top companies in the natural language processing market:
  • Google announced enhancements to its Dialogflow CX platform, providing advanced IVR capabilities for more natural and efficient customer interactions. The update includes improved speech recognition and dialog management features.
  • Adobe introduced new OCR features in Adobe Acrobat, enabling users to extract and analyze text from scanned documents more accurately. The update aims to streamline document processing workflows.
  • Amazon Web Services (AWS) unveiled Amazon Rekognition Custom Labels, allowing developers to train custom image recognition models tailored to specific use cases. This enables businesses to identify unique patterns and objects in images.
  • Microsoft Research introduced DeepCoder, an AI-powered auto coding tool that automates software development tasks using natural language descriptions. The tool aims to accelerate coding processes and improve developer productivity.
  • IBM Watson announced updates to its Watson Natural Language Classifier, enhancing its ability to classify text-based data into predefined categories with higher accuracy. The improvements leverage advanced machine learning techniques.
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 to 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 Who 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?
Table of Contents

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
.

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Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process. 
 

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