NLP in Education Market

NLP in Education Market Size, Share, Growth Analysis, By ABY(Automated Insights, Width.ai) - Industry Forecast 2024-2031

Report ID: UCMIG45F2078 | Region: Global | Published Date: Upcoming |
Pages: 165 | Tables: 55 | Figures: 60

NLP in Education Market Insights

Market Overview:

The market for NLP in education is anticipated to grow from $99 million in 2023 to $ 228 million in 2028. the main forces are an increase in the need for effective language learning, Predictive analytics are being used more frequently to give children who are at danger individualized support.

NLP in Education Market, Forecast & Y-O-Y Growth Rate, 2020 - 2028
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This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.

Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.

The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Systems Software by segment aggregation, the contribution of the Systems Software in Software & Services and vendor share.

To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.

Segmentation Analysis:

The NLP in Education Market is segmented by ABY. We are analyzing the market of these segments to identify which segment is the largest now and in the future, which segment has the highest growth rate, and the segment which offers the opportunity in the future.

NLP in Education Market Basis Point Share Analysis, 2021 Vs. 2028
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  • Based on ABY the market is segmented as, Automated Insights, Width.ai, Revolve.ai, Primer.ai, Carnegie Learning, Gecko, Ivy.ai, Attivio, Conversica, Avaamo, Aylien, Haptik, Gupshup, Sensforth.ai, Chivox

Regional Analysis:

NLP in Education Market is being analyzed by North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA) regions. Key countries including the U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, and South Africa among others were analyzed considering various micro and macro trends.

NLP in Education Market Attractiveness Analysis, By Region 2020-2028
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NLP in Education Market : Risk Analysis

SkyQuest's expert analysts have conducted a risk analysis to understand the impact of external extremities on NLP in Education Market. We analyzed how geopolitical influence, natural disasters, climate change, legal scenario, economic impact, trade & economic policies, social & ethnic concerns, and demographic changes might affect NLP in Education Market's supply chain, distribution, and total revenue growth.

Competitive landscaping:

To understand the competitive landscape, we are analyzing key NLP in Education Market vendors in the market. To understand the competitive rivalry, we are comparing the revenue, expenses, resources, product portfolio, region coverage, market share, key initiatives, product launches, and any news related to the NLP in Education Market.

To validate our hypothesis and validate our findings on the market ecosystem, we are also conducting a detailed porter's five forces analysis. Competitive Rivalry, Supplier Power, Buyer Power, Threat of Substitution, and Threat of New Entry each force is analyzed by various parameters governing those forces.

Key Players Covered in the Report:

  • Education Market size is expected to expand from US$ 99 million in 2023 to US$ 228 million by 2028. The NLP in Education industry is anticipated to have an effective CAGR of 18.1% during the period 2023-2028. The growing evolution of AI and deep learning, digital transformation, cloud-native, and conversational AI will drive the market.
  • 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.
  • 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.
  • 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.
  • KEY MARKET SEGMENTS
  • Based Offering
  • Solution
  • Text-based NLP Solution
  • Language translation tools
  • Text-to-speech converters
  • Sentiment analysis tools
  • Plagiarism checkers
  • Video-based NLP Solution
  • Video captioning tools
  • Video transcription tools
  • Video summarization tools
  • Image-based NLP Solution
  • Optical character recognition (OCR) tools
  • Image captioning tools
  • Image recognition tools
  • Audio-based NLP Solution
  • Speech recognition tools
  • Voice-to-text converters
  • Audio transcription tools
  • Services
  • Professional Services
  • Consulting
  • System Integration and Implementation
  • Training, Support, and Maintenance
  • Managed Services
  • Based on Model Type:
  • Rule-based NLP
  • Statistical NLP
  • Hybrid NLP
  • Based on Application:
  • Sentiment Analysis & Data Extraction
  • Student behavior and feedback analysis
  • Social media analysis
  • Course material analysis
  • Admission support & analysis
  • Student performance analysis
  • Research analysis
  • Risk & Threat Detection
  • Student safety
  • Cybersecurity
  • Campus security
  • Admissions fraud detection
  • Content Management & Automatic Summarization
  • Textbook Summarization
  • Lecture Summarization
  • Research Paper Summarization
  • Content/Essay Summarization
  • Text Mining
  • Question Answering
  • Machine Translation
  • Intelligent Tutoring & Langauge Learning
  • Adaptive learning
  • Dialogue-based tutoring
  • Intelligent writing assistance
  • Language modeling
  • Language assessment
  • Personalized learning
  • 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:
  • Academic User
  • K12
  • Higher Education
  • EdTech Provider
  • LMS providers
  • Virtual Classroom Providers
  • E-Learning Platform Providers
  • Learning Content Providers
  • Mobile Learning providers
  • Skill Development Platform Providers
  • Based on Region:
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Singapore
  • ANZ
  • Rest of Asia Pacific
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Rest of the Middle East and Africa
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • Microsoft
  • Google
  • AWS
  • SAS Institute
  • Inbenta
  • Baidu
  • Welocalize
  • Yellow.ai
  • NICE
  • ABBYY
  • Automated Insights
  • Width.ai
  • Revolve.ai
  • Primer.ai
  • Carnegie Learning
  • Gecko
  • Ivy.ai
  • Attivio
  • Conversica
  • Avaamo
  • Aylien
  • Haptik
  • Gupshup
  • Sensforth.ai
  • Chivox
  • Cognii

SkyQuest's Expertise:

The NLP in Education Market is being analyzed by SkyQuest's analysts with the help of 20+ scheduled Primary interviews from both the demand and supply sides. We have already invested more than 250 hours on this report and are still refining our date to provide authenticated data to your readers and clients. Exhaustive primary and secondary research is conducted to collect information on the market, peer market, and parent market.

Our cross-industry experts and revenue-impact consultants at SkyQuest enable our clients to convert market intelligence into actionable, quantifiable results through personalized engagement.

Scope Of Report

Report Attribute Details
The base year for estimation 2021
Historical data 2016 – 2022
Forecast period 2022 – 2028
Report coverage Revenue forecast, volume forecast, company ranking, competitive landscape, growth factors, and trends, Pricing Analysis
Segments covered
  • By ABY - Automated Insights, Width.ai, Revolve.ai, Primer.ai, Carnegie Learning, Gecko, Ivy.ai, Attivio, Conversica, Avaamo, Aylien, Haptik, Gupshup, Sensforth.ai, Chivox
Regional scope North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
Country scope U.S., Canada, Germany, France, UK, Italy, Spain, China, India, Japan, Brazil, GCC Countries, South Africa
Key companies profiled
  • Education Market size is expected to expand from US$ 99 million in 2023 to US$ 228 million by 2028. The NLP in Education industry is anticipated to have an effective CAGR of 18.1% during the period 2023-2028. The growing evolution of AI and deep learning, digital transformation, cloud-native, and conversational AI will drive the market.
  • 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.
  • 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.
  • 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.
  • KEY MARKET SEGMENTS
  • Based Offering
  • Solution
  • Text-based NLP Solution
  • Language translation tools
  • Text-to-speech converters
  • Sentiment analysis tools
  • Plagiarism checkers
  • Video-based NLP Solution
  • Video captioning tools
  • Video transcription tools
  • Video summarization tools
  • Image-based NLP Solution
  • Optical character recognition (OCR) tools
  • Image captioning tools
  • Image recognition tools
  • Audio-based NLP Solution
  • Speech recognition tools
  • Voice-to-text converters
  • Audio transcription tools
  • Services
  • Professional Services
  • Consulting
  • System Integration and Implementation
  • Training, Support, and Maintenance
  • Managed Services
  • Based on Model Type:
  • Rule-based NLP
  • Statistical NLP
  • Hybrid NLP
  • Based on Application:
  • Sentiment Analysis & Data Extraction
  • Student behavior and feedback analysis
  • Social media analysis
  • Course material analysis
  • Admission support & analysis
  • Student performance analysis
  • Research analysis
  • Risk & Threat Detection
  • Student safety
  • Cybersecurity
  • Campus security
  • Admissions fraud detection
  • Content Management & Automatic Summarization
  • Textbook Summarization
  • Lecture Summarization
  • Research Paper Summarization
  • Content/Essay Summarization
  • Text Mining
  • Question Answering
  • Machine Translation
  • Intelligent Tutoring & Langauge Learning
  • Adaptive learning
  • Dialogue-based tutoring
  • Intelligent writing assistance
  • Language modeling
  • Language assessment
  • Personalized learning
  • 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:
  • Academic User
  • K12
  • Higher Education
  • EdTech Provider
  • LMS providers
  • Virtual Classroom Providers
  • E-Learning Platform Providers
  • Learning Content Providers
  • Mobile Learning providers
  • Skill Development Platform Providers
  • Based on Region:
  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Singapore
  • ANZ
  • Rest of Asia Pacific
  • Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Rest of the Middle East and Africa
  • Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
  • KEY MARKET PLAYERS
  • IBM
  • Microsoft
  • Google
  • AWS
  • SAS Institute
  • Inbenta
  • Baidu
  • Welocalize
  • Yellow.ai
  • NICE
  • ABBYY
  • Automated Insights
  • Width.ai
  • Revolve.ai
  • Primer.ai
  • Carnegie Learning
  • Gecko
  • Ivy.ai
  • Attivio
  • Conversica
  • Avaamo
  • Aylien
  • Haptik
  • Gupshup
  • Sensforth.ai
  • Chivox
  • Cognii
Customization scope Free report customization (15% Free customization) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Reap the benefits of customized purchase options to fit your specific research requirements.

Objectives of the Study

  • To forecast the market size, in terms of value, for various segments with respect to five main regions, namely, North America, Europe, Asia-Pacific (APAC), Latin America (LATAM), Middle East & Africa (MEA)
  • To provide detailed information regarding the major factors influencing the growth of the Market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze the micro markets with respect to the individual growth trends, future prospects, and contribution to the total market
  • To provide a detailed overview of the value chain and analyze market trends with the Porter's five forces analysis
  • To analyze the opportunities in the market for various stakeholders by identifying the high-growth Segments
  • To identify the key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for the market leaders
  • To analyze competitive development such as joint ventures, mergers and acquisitions, new product launches and development, and research and development in the market

What does this Report Deliver?

  • Market Estimation for 20+ Countries
  • Historical data coverage: 2016 to 2022
  • Growth projections: 2022 to 2028
  • SkyQuest's premium market insights: Innovation matrix, IP analysis, Production Analysis, Value chain analysis, Technological trends, and Trade analysis
  • Customization on Segments, Regions, and Company Profiles
  • 100+ tables, 150+ Figures, 10+ matrix
  • Global and Country Market Trends
  • Comprehensive Mapping of Industry Parameters
  • Attractive Investment Proposition
  • Competitive Strategies Adopted by Leading Market Participants
  • Market drivers, restraints, opportunities, and its impact on the market
  • Regulatory scenario, regional dynamics, and insights of leading countries in each region
  • Segment trends analysis, opportunity, and growth
  • Opportunity analysis by region and country
  • Porter's five force analysis to know the market's condition
  • Pricing analysis
  • Parent market analysis
  • Product portfolio benchmarking

Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on NLP in Education Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on NLP in Education Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)
  • Education Market size is expected to expand from US$ 99 million in 2023 to US$ 228 million by 2028. The NLP in Education industry is anticipated to have an effective CAGR of 18.1% during the period 2023-2028. The growing evolution of AI and deep learning, digital transformation, cloud-native, and conversational AI will drive the market.
    • Exhibit Company Overview
    • Exhibit Business Segment Overview
    • Exhibit Financial Updates
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  • Driver: Rising demand for efficient language learning
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Restraints: Limited data availability
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Opportunity: Increasing adoption of learning analytics
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Challenge: Increasing requirement for customization
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Based on end-user, academic segment to hold highest market share during forecast period
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Based on model type, statistical NLP model to hold highest market share during forecast period
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Based on application, corporate training segment to have highest growth rate during forecast period
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • Recent Developments:
    • Exhibit Company Overview
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  • In March 2023, Yellow.ai launched Salem, which is a new AI-powered customer service channel available on WhatsApp.
    • Exhibit Company Overview
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  • 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).
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • 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.
    • Exhibit Company Overview
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  • KEY MARKET SEGMENTS
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  • Based Offering
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  • Solution
    • Exhibit Company Overview
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  • Text-based NLP Solution
    • Exhibit Company Overview
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  • Language translation tools
    • Exhibit Company Overview
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  • Text-to-speech converters
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  • Sentiment analysis tools
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  • Plagiarism checkers
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  • Video-based NLP Solution
    • Exhibit Company Overview
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  • Video captioning tools
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  • Video transcription tools
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  • Video summarization tools
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  • Image-based NLP Solution
    • Exhibit Company Overview
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  • Optical character recognition (OCR) tools
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  • Image captioning tools
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  • Image recognition tools
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  • Audio-based NLP Solution
    • Exhibit Company Overview
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  • Speech recognition tools
    • Exhibit Company Overview
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  • Voice-to-text converters
    • Exhibit Company Overview
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  • Audio transcription tools
    • Exhibit Company Overview
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  • Services
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  • Professional Services
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  • Consulting
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  • System Integration and Implementation
    • Exhibit Company Overview
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  • Training, Support, and Maintenance
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  • Managed Services
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  • Based on Model Type:
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  • Rule-based NLP
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  • Statistical NLP
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  • Hybrid NLP
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  • Based on Application:
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  • Sentiment Analysis & Data Extraction
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  • Student behavior and feedback analysis
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  • Social media analysis
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  • Course material analysis
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  • Admission support & analysis
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  • Student performance analysis
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  • Research analysis
    • Exhibit Company Overview
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  • Risk & Threat Detection
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  • Student safety
    • Exhibit Company Overview
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  • Cybersecurity
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  • Campus security
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  • Admissions fraud detection
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  • Content Management & Automatic Summarization
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  • Textbook Summarization
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  • Lecture Summarization
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  • Research Paper Summarization
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  • Content/Essay Summarization
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  • Text Mining
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  • Question Answering
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  • Machine Translation
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  • Intelligent Tutoring & Langauge Learning
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  • Adaptive learning
    • Exhibit Company Overview
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  • Dialogue-based tutoring
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  • Intelligent writing assistance
    • Exhibit Company Overview
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  • Language modeling
    • Exhibit Company Overview
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  • Language assessment
    • Exhibit Company Overview
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  • Personalized learning
    • Exhibit Company Overview
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  • Corporate Training
    • Exhibit Company Overview
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  • Language training for international business
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  • Soft skills training
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  • Compliance training
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  • Customer service training
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  • Others (including plagiarism detection and gamification)
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  • Based on End Users:
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  • Academic User
    • Exhibit Company Overview
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  • K12
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  • Higher Education
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  • EdTech Provider
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  • LMS providers
    • Exhibit Company Overview
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  • Virtual Classroom Providers
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  • E-Learning Platform Providers
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  • Learning Content Providers
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  • Mobile Learning providers
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  • Skill Development Platform Providers
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  • Based on Region:
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  • North America
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  • US
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  • Canada
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  • Europe
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  • UK
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  • Germany
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  • France
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  • Italy
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  • Spain
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  • Rest of Europe
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  • Asia Pacific
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  • China
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  • India
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  • Japan
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  • South Korea
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  • Singapore
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  • ANZ
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  • Rest of Asia Pacific
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  • Middle East & Africa
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  • Saudi Arabia
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  • UAE
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  • South Africa
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  • Israel
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  • Rest of the Middle East and Africa
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  • Latin America
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  • Brazil
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  • Mexico
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  • Rest of Latin America
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  • KEY MARKET PLAYERS
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  • IBM
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  • Microsoft
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  • Google
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  • AWS
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  • SAS Institute
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  • Inbenta
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  • Baidu
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  • Welocalize
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  • Yellow.ai
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  • NICE
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  • ABBYY
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  • Automated Insights
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  • Width.ai
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  • Revolve.ai
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  • Primer.ai
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  • Carnegie Learning
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  • Gecko
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  • Ivy.ai
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  • Attivio
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  • Conversica
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  • Avaamo
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  • Aylien
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  • Haptik
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  • Gupshup
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  • Sensforth.ai
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  • Chivox
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  • Cognii
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Methodology

For the NLP in Education Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:

1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.

2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the NLP in Education Market.

3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.

4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the NLP in Education Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the NLP in Education Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.

Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.

Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.

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FAQs

The global market for NLP in Education was estimated to be valued at US$ XX Mn in 2021.

The global NLP in Education Market is estimated to grow at a CAGR of XX% by 2028.

The global NLP in Education Market is segmented on the basis of ABY.

Based on region, the global NLP in Education Market is segmented into North America, Europe, Asia Pacific, Middle East & Africa and Latin America.

The key players operating in the global NLP in Education Market are Education Market size is expected to expand from US$ 99 million in 2023 to US$ 228 million by 2028. The NLP in Education industry is anticipated to have an effective CAGR of 18.1% during the period 2023-2028. The growing evolution of AI and deep learning, digital transformation, cloud-native, and conversational AI will drive the market. , 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. , 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. , 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. , KEY MARKET SEGMENTS, Based Offering , Solution , Text-based NLP Solution , Language translation tools , Text-to-speech converters , Sentiment analysis tools , Plagiarism checkers , Video-based NLP Solution , Video captioning tools , Video transcription tools , Video summarization tools , Image-based NLP Solution , Optical character recognition (OCR) tools , Image captioning tools , Image recognition tools , Audio-based NLP Solution , Speech recognition tools , Voice-to-text converters , Audio transcription tools , Services , Professional Services , Consulting , System Integration and Implementation , Training, Support, and Maintenance , Managed Services , Based on Model Type: , Rule-based NLP , Statistical NLP , Hybrid NLP , Based on Application: , Sentiment Analysis & Data Extraction , Student behavior and feedback analysis , Social media analysis , Course material analysis , Admission support & analysis , Student performance analysis , Research analysis , Risk & Threat Detection , Student safety , Cybersecurity , Campus security , Admissions fraud detection , Content Management & Automatic Summarization , Textbook Summarization , Lecture Summarization , Research Paper Summarization , Content/Essay Summarization , Text Mining , Question Answering , Machine Translation , Intelligent Tutoring & Langauge Learning , Adaptive learning , Dialogue-based tutoring , Intelligent writing assistance , Language modeling , Language assessment , Personalized learning , 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: , Academic User , K12 , Higher Education , EdTech Provider , LMS providers , Virtual Classroom Providers , E-Learning Platform Providers , Learning Content Providers , Mobile Learning providers , Skill Development Platform Providers , Based on Region: , North America , US , Canada , Europe , UK , Germany , France , Italy , Spain , Rest of Europe , Asia Pacific , China , India , Japan , South Korea , Singapore , ANZ , Rest of Asia Pacific , Middle East & Africa , Saudi Arabia , UAE , South Africa , Israel , Rest of the Middle East and Africa , Latin America , Brazil , Mexico , Rest of Latin America , KEY MARKET PLAYERS , IBM , Microsoft , Google , AWS , SAS Institute , Inbenta , Baidu , Welocalize , Yellow.ai , NICE , ABBYY , Automated Insights , Width.ai , Revolve.ai , Primer.ai , Carnegie Learning , Gecko , Ivy.ai , Attivio , Conversica , Avaamo , Aylien , Haptik , Gupshup , Sensforth.ai , Chivox , Cognii .

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