NLP in Education Market by Offering (Solutions and Services), Model Type (Rule-based, Statistical, and Hybrid), Application (Sentiment Analysis & Data Extraction, Intelligent Tutoring & Langauge Learning), End User and Region - Global Forecast to 2028
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Generating Response ...[250 Pages Report] The global NLP in education market size is projected to grow from USD 99 million in 2023 to USD 228 million by 2028 at a Compound Annual Growth Rate (CAGR) of 18.1%. The growing evolution of AI and deep learning, digital transformation, cloud-native, and conversational AI will drive the market.
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NLP in Education Market Dynamics
Driver: Rising demand for efficient language learning
NLP is used in language learning applications to provide better pronunciation feedback, enhance the quality of translations, and create conversational bots that allow students to practice speaking with an AI-powered virtual tutor. It is used to analyze student data such as performance history, learning style, and preferences to create personalized learning experiences. By tailoring the learning experience to individual students, NLP can help improve engagement and retention. NLP systems can accommodate different learning styles by delivering content in multiple formats, such as visual, auditory, and kinaesthetic, providing flexible, student-centered teaching. NLP applications can also help educators gather data and insights that can be used to shape instruction and improve student learning outcomes.
Restraints: Limited data availability
The effectiveness of NLP technology relies on large amounts of data. However, data in the education industry can be limited due to privacy regulations and other concerns. The limited data can limit the accuracy and usefulness of NLP technology in the education market. NLP technology can be complex and difficult to use for individuals who are not familiar with the technology. This can limit its adoption and effectiveness in the education market. NLP technology is typically designed to work with one or a few languages, which can create a challenge for educators and students who speak other languages or dialects.
Opportunity: Increasing adoption of learning analytics
NLP can analyze data from student transcripts and other educational documents to provide insights into student performance and learning trends. NLP can help teachers identify areas where students struggle and adjust their teaching methods accordingly. NLP can be used to develop language learning tools that provide personalized learning experiences to students. By analyzing the student’s vocabulary, sentence structure, and pronunciation, NLP algorithms can offer tailored feedback and recommendations to help them improve. NLP can analyze student essays and other written assignments to provide automated grading.
Challenge: Increasing requirement for customization
The NLP in education market often requires customized NLP solutions that meet the specific requirements of teachers, students, and institutions. However, developing and deploying customized solutions can be challenging and time-consuming, especially for smaller organizations with limited resources. The NLP in education market requires NLP models that are accurate and easy for non-technical users, such as teachers and students. Balancing usability and accuracy can be challenging, as more complex models may be more accurate but less user-friendly, and vice versa. Language can vary significantly across different education settings, including schools, grade levels, and subject areas. This variation makes it difficult to develop NLP models that can accurately identify and extract information across different educational domains.
NLP in Education Market Ecosystem
Based on end-user, academic segment to hold highest market share during forecast period
NLP solutions help academic user to enhance the learning experience for students, improve the efficiency of teaching and administrative processes, and provide insights that can inform decision-making. NLP can be used to enhance language learning by analyzing speech patterns, identifying pronunciation errors, and providing feedback to students. NLP can be used to create intelligent content for educational purposes, such as textbooks and online courses. This can help in making the content more interactive, engaging, and relevant to the student’s needs.
Based on model type, statistical NLP model to hold highest market share during forecast period
Statistical NLP can achieve higher accuracy in natural language tasks such as language translation, sentiment analysis, and named entity recognition. This is because statistical models can learn from a large amount of data and generalize better than rule-based systems. Statistical NLP can be easily scaled to handle large volumes of text data, whereas rule-based systems can become unwieldy as the number of rules increases. Statistical NLP can adapt to new domains and languages easily than rule-based systems. It can be trained on new data without requiring manual updates to rules, making it an effective approach for handling complex and dynamic language data.
Based on application, corporate training segment to have highest growth rate during forecast period
NLP solutions help improve the effectiveness, efficiency, and scalability of corporate training programs while reducing costs and improving the learner’s experience. NLP solutions can help to personalize the training experience by analyzing the learner’s language, speech patterns, and behaviors. With this information, the training program can be tailored to meet the specific needs of each learner. NLP solutions can reduce the cost of training by automating repetitive tasks, such as grading and assessment, and by reducing the need for physical training materials and instructors.
North America to account for the highest market share during the forecast period.
Key players:
This research study outlines the market potential, dynamics, and major vendors operating in the NLP in education market. Key and innovative vendors in the NLP in education market include IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), Inbenta (US), Baidu (China), Welocalize (US), Yellow.ai (US), NICE (US), ABBYY (US), Automated Insights (US), Width.ai (US), Revolve.ai (Islamabad), Primer.ai (US), Carnegie Learning (US), Gecko (US), Ivy.ai (US), Attivio (US), Conversica (US), Avaamo (US), Aylien (Ireland), Haptik (India), Gupshup (US), Sensforth.ai (US), Chivox (China), and Cognii (US). The study includes an in-depth competitive analysis of these key players in the NLP in Education market with their company profiles, recent developments, and key market strategies.
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- Latest News, Updates & Trend analysis
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Report Metrics |
Details |
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Market size available for years |
2018-2028 |
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Base year considered |
2022 |
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Forecast period |
2023-2028 |
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Forecast units |
Value (USD Million/USD Billion) |
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Segments covered |
Offering, Model Type, Application, End User, and Region |
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Regions covered |
North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America |
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Companies covered |
IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), Inbenta (US), Baidu (China), Welocalize (US), Yellow.ai (US), NICE (US), ABBYY (US), Automated Insights (US), Width.ai (US), Revolve.ai (Islamabad), Primer.ai (US), Carnegie Learning (US), Gecko (US), Ivy.ai (US), Attivio (US), Conversica (US), Avaamo (US), Aylien (Ireland), Haptik (India), Gupshup (US), Sensforth.ai (US), Chivox (China), and Cognii (US). |
This research report categorizes the NLP in education market to forecast revenue and analyze trends in each of the following submarkets:
Based Offering
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Solution
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Text-based NLP Solution
- Language translation tools
- Text-to-speech converters
- Sentiment analysis tools
- Plagiarism checkers
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Video-based NLP Solution
- Video captioning tools
- Video transcription tools
- Video summarization tools
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Image-based NLP Solution
- Optical character recognition (OCR) tools
- Image captioning tools
- Image recognition tools
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Audio-based NLP Solution
- Speech recognition tools
- Voice-to-text converters
- Audio transcription tools
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Text-based NLP Solution
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Services
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Professional Services
- Consulting
- System Integration and Implementation
- Training, Support, and Maintenance
- Managed Services
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Professional Services
Based on Model Type:
- Rule-based NLP
- Statistical NLP
- Hybrid NLP
Based on Application:
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Sentiment Analysis & Data Extraction
- Student behavior and feedback analysis
- Social media analysis
- Course material analysis
- Admission support & analysis
- Student performance analysis
- Research analysis
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Risk & Threat Detection
- Student safety
- Cybersecurity
- Campus security
- Admissions fraud detection
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Content Management & Automatic Summarization
- Textbook Summarization
- Lecture Summarization
- Research Paper Summarization
- Content/Essay Summarization
- Text Mining
- Question Answering
- Machine Translation
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Intelligent Tutoring & Langauge Learning
- Adaptive learning
- Dialogue-based tutoring
- Intelligent writing assistance
- Language modeling
- Language assessment
- Personalized learning
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Corporate Training
- Language training for international business
- Soft skills training
- Compliance training
- Customer service training
- Others (including plagiarism detection and gamification)
Based on End Users:
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Academic User
- K12
- Higher Education
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EdTech Provider
- LMS providers
- Virtual Classroom Providers
- E-Learning Platform Providers
- Learning Content Providers
- Mobile Learning providers
- Skill Development Platform Providers
Based on Region:
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North America
- US
- Canada
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Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
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Asia Pacific
- China
- India
- Japan
- South Korea
- Singapore
- ANZ
- Rest of Asia Pacific
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Middle East & Africa
- Saudi Arabia
- UAE
- South Africa
- Israel
- Rest of the Middle East and Africa
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Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In March 2023, Yellow.ai launched Salem, which is a new AI-powered customer service channel available on WhatsApp.
- In February 2023, Microsoft launched Automated ML supports NLP, which allows ML professionals and data scientists to bring text data and build custom models for tasks such as multi-class text classification, multi-label text classification, and named entity recognition (NER).
- In January 2023, IBM announced IBM Partner Plus. This new program reimagines how IBM engages with its business partners through unprecedented access to IBM resources, incentives, and tailored support to deepen its technical expertise and help speed time to market.
- In December 2022, NICE launched ElevateAI, a new AIaaS solution that brings the power of Enlighten AI, its purpose-built CX AI, to the developer community.
- In November 2022, Google announced an ambitious new project to develop a single AI language model that supports the world’s 1,000 most spoken languages.
Frequently Asked Questions (FAQ):
What is the projected market value of the global NLP in education market?
The global NLP in education market size is projected to grow from USD 99 million in 2023 to USD 228 million by 2028 at a Compound Annual Growth Rate (CAGR) of 18.1% during the forecast period.
Which region has the highest market share in the NLP in education market?
North America followed is expected to hold the largest market share in the NLP in education market.
By offering, which is expected to witness a higher market share in the coming years?
The solutions segment is expected to hold the highest market share during the forecast period.
Who are the major vendors in the NLP in Education market?
Major NLP vendors in education include IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), Inbenta (US), Baidu (China), Welocalize (US), Yellow.ai (US), NICE (US), ABBYY (US), Automated Insights (US), Width.ai (US), Revolve.ai (Islamabad), Primer.ai (US), Carnegie Learning (US), Gecko (US), Ivy.ai (US), Attivio (US), Conversica (US), Avaamo (US), Aylien (Ireland), Haptik (India), Gupshup (US), Sensforth.ai (US), Chivox (China), and Cognii (US).
Which application is expected to witness a higher market share in the NLP in education market?
The sentiment analysis & data extraction segment is expected to hold the highest market share during the forecast period.
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This research study used extensive secondary sources, directories, and databases, such as D&B Hoovers and Bloomberg Businessweek, to identify and collect information useful for this technical, market-oriented, and commercial study of the global NLP in education market. The primary sources were several industry experts from core and related industries and preferred suppliers, manufacturers, distributors, Service Providers (SPs), technology developers, alliances, and organizations related to all the segments of this industry’s value chain. In-depth interviews were conducted with various primary respondents that included key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants to obtain and verify critical qualitative and quantitative information as well as assess prospects.
Secondary Research
The companies offering NLP in education solutions & services in various mining operations are based on the secondary data available through paid and unpaid sources. They are analyzed by analyzing different solutions and services of major companies in the ecosystem and rating them based on their performance and quality. In the secondary research process, various sources were referred for identifying and collecting information for this study. The secondary sources included annual reports, press releases, companies’ investor presentations, white papers, journals, and articles from recognized authors, directories, and databases.
Primary Research
In the primary research process, various sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Chief Technology Officers (CTOs), Chief Operating Officers (COOs), Vice Presidents (VPs), Managing Directors (MDs), Chief Technology Innovation Officers (CTIO), and related key executives from different companies and organizations operating in the NLP in education market.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Multiple approaches were adopted for the estimation and forecasting of the NLP in education market. The first approach involves estimating the market size by summating companies’ revenue generated through the NLP in education solutions and services.
Both top-down and bottom-up approaches were extensively used to estimate and validate the total size of the NLP in education market. The research methodology used to estimate the market size includes the following:
- Key players in the market have been identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.
NLP in Education Market Size: Bottom-Up Approach
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NLP in Education Market Size: Top-Down Approach
Data Triangulation
After arriving at the overall market size, the overall NLP in education market was divided into several segments and subsegments with the help of data triangulation procedures to complete the overall market engineering process. The data was triangulated by studying various factors and trends from the demand and supply sides. Along with data triangulation and market breakdown, the market size was validated by the top-down and bottom-up approaches.
Market Definition
IBM defines natural language processing (NLP) as the branch of computer science—specifically, the branch of artificial intelligence or AI—concerned with giving computers the ability to understand the text and spoken words in much the same way human beings can. In education, NLP can perform speech recognition, grammatical tagging, word sense disambiguation, named entity recognition, sentimental analysis, and natural language generation.
Key Stakeholders
- NLP solution providers for the education industry
- Value- added Service Providers
- Cloud Service Providers
- NLP services providers for the education industry
- Government Agencies
- Educational Institutes
- EdTech Providers
Report Objectives
- To determine and forecast the global NLP in education by offering, model type, and end user. Application and region from 2023 to 2028, and analyze the various macroeconomic and microeconomic factors that affect the market growth
- To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Latin America, and the Middle East & Africa (MEA)
- To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the NLP in education market
- To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall NLP in education market
- To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the NLP in education market
- To profile the key market players; provide a comparative analysis based on business overviews, regional presence, product offerings, business strategies, and key financials; and illustrate the competitive landscape of the market
- To track and analyze competitive developments, such as mergers and acquisitions, product launches and enhancements, partnerships and collaborations, and Research and Development (R&D) activities, in the market
Available Customizations
Along with the market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Geographic Analysis
- Further breakup of the Asia Pacific market into countries contributing nearly 30% to the regional market size
- Further breakup of the Latin American market into countries contributing nearly 45% to the regional market size
- Further breakup of the MEA market into countries contributing nearly 40% to the regional market size
- Further breakup of the European market into countries contributing nearly 40% to the regional market size
Company Information
- Detailed analysis and profiling of additional market players (Up to 5)
Growth opportunities and latent adjacency in NLP in Education Market