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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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    Report

  • 252 Pages
  • May 2023
  • Region: Global
  • Markets and Markets
  • ID: 5790881

Hybrid NLP Model to Grow at Highest Cagr During Forecast Period

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%. With the advent of predictive analytics and machine language, organizations can amplify their outcomes with predictive models based on customer data, such as purchasing patterns, support feedback, and social media sentiment. Enterprises across the globe are deploying NLP in education solutions with predictive analytic capabilities for multiple use cases, such as sentiment analysis, email spam detection, and text mining.

Image-based NLP solutions segment to grow at highest CAGR during forecast period

Based on solutions, the NLP in education market is further subsegmented into text-based NLP solutions, audio-based, image-based, and video-based. Among these subsegments, the image-based NLP solutions sub-segment is expected to grow at the highest CAGR during the forecast period. This growth is attributed to the rise in demand for optical character recognition (OCR) tools, image captioning tools, and image recognition tools in the education industry. Image-based NLP solutions have the potential to significantly enhance the learning experience for students and improve the efficiency and effectiveness of education delivery.

Hybrid NLP model to grow at highest CAGR during forecast period.

Based on model type, the NLP in education market is classified into Rule-based, Statistical, and Hybrid. Among these, the hybrid NLP model is expected to grow at the highest growth rate during 2023-2028. The use of a hybrid NLP model can help improve the quality of education, increase student engagement, and reduce teachers’ workload, leading to a more efficient and effective education system. Major advantages of the hybrid NLP model are improved student engagement, personalized learning, automated grading and feedback, language translation, and improved accessibility.

North America to record highest market share

North America is home to advanced economies like the US and Canada. These nations were among the first to use Al. The United States and Canada are ranked fourth and sixth globally for government Al preparation in Oxford’s 2019 Government Artificial Intelligence Readiness Index, making North America a very competitive Al region. Al has been designated as a national policy priority in both nations. Companies in this region have used AI, ML, and deep learning technology as part of ongoing business processes to remain ahead of the competition, particularly in the US. Al-based technologies in customer support, whether used or not, provide firms that primarily provide call center services with a considerable cash gain.

Breakdown of primaries

The study contains insights from various industry experts, ranging from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 55%, Tier 2 - 20%, and Tier 3 - 25%
  • By Designation: C-level - 32%, Directors - 30%, and Others - 38%
  • By Region: North America - 40, Europe - 15%, Asia Pacific - 35%, Middle East & Africa - 5%, and Latin America - 5%

This research study outlines the market potential, market 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). These vendors have adopted many organic as well as inorganic growth strategies, such as product launches, partnerships, and collaborations, to expand their offerings and market shares in the NLP in education market.

Research Coverage

The market study covers the NLP in education market across different segments. It aims at estimating the market size and the growth potential across different segments based on component, approach type, processing type, end-user, and region. The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the global NLP in education market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (rising demand for efficient language learning, greater urge for predictive analytics to reduce risks and identify growth opportunities, and evolution of AI), restraints (limited data availability and risks associated with data breaches and sensitive information leakage), opportunities (increase in adoption of learning analytics and surge in the development of big data technology for actionable business intelligence), and challenges (increasing requirement for customization and regulatory and privacy concerns over data security) influencing the growth of the NLP in education market.
  • Product Development/Innovation: Detailed insights on coming technologies, R&D activities, and product & service launches in the NLP in education market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the NLP in education market across varied regions.
  • Market Diversification: Exhaustive information about products & services, untapped geographies, recent developments, and investments in the NLP in education market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like 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).

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Markets Covered
Figure 1 NLP in Education Market Segmentation
1.3.2 Geographic Scope
Figure 2 Market: Geographic Scope
1.3.3 Years Considered
1.4 Currency Considered
Table 1 USD Exchange Rates, 2019-2022
1.5 Stakeholders

2 Research Methodology
2.1 Research Data
Figure 3 NLP in Education Market: Research Design
2.1.1 Secondary Data
2.1.1.1 Secondary Sources
2.1.2 Primary Data
2.1.2.1 Primary Interviews with Experts
2.1.2.2 List of Key Primary Interview Participants
2.1.2.3 Breakdown of Primary Profiles
2.1.2.4 Primary Sources
2.1.2.5 Key Industry Insights
2.2 Market Size Estimation
Figure 4 Market Size Estimation Methodology: Approach 1 (Supply Side) - Revenue from Solutions/Services
2.2.1 Bottom-Up Approach
Figure 5 Bottom-Up Approach
Figure 6 Market Size Estimation Using Bottom-Up Approach (Supply Side): Collective Revenue from Solutions/Services
2.2.2 Top-Down Approach
Figure 7 Top-Down Approach
2.2.3 NLP in Education Market Estimation: Demand-Side Analysis
Figure 8 Market Size Estimation Methodology: Demand-Side Analysis
2.3 Data Triangulation
Figure 9 Data Triangulation
2.4 Factor Analysis
Table 2 Factor Analysis
2.5 Assumptions
2.6 Limitations
2.7 Market: Recession Impact

3 Executive Summary
Figure 10 Market Size, 2021-2028
Figure 11 Key Market Growth Segments, 2023
Figure 12 Asia-Pacific to Grow at Highest CAGR from 2023 to 2028

4 Premium Insights
4.1 Attractive Opportunities for Players in NLP in Education Market
Figure 13 Increased Adoption of Learning Analytics to Foster Market Growth
4.2 North America: Market, by Component and Country
Figure 14 Solutions Segment and US to Lead North American Market in 2023
4.3 Asia-Pacific: Market, by Component and Top Three Countries
Figure 15 Solutions Segment and China to Lead Asia-Pacific Market in 2023
4.4 Market: Major Countries
Figure 16 Japan to be the Fastest-Growing Market During Forecast Period

5 Market Overview and Industry Trends
5.1 Market Overview
5.2 Market Dynamics
Figure 17 NLP in Education Market: Drivers, Restraints, Opportunities, and Challenges
5.2.1 Drivers
5.2.1.1 Rising Demand for Efficient Language Learning
5.2.1.2 Increasing Adoption of Predictive Analytics to Provide Targeted Support to Students at Risks
5.2.1.3 Evolution of AI and Deep Learning
5.2.2 Restraints
5.2.2.1 Limited Availability of Educational Data Impacts Efficiency of NLP Models
5.2.2.2 Risks Associated with Data Breaches and Sensitive Information Leakage
5.2.3 Opportunities
5.2.3.1 Growing Adoption of NLP to Assess Student Performance
5.2.3.2 Soaring Demand for Personalized Learning
5.2.3.3 Significant R&D Activities by Market Vendors
5.2.4 Challenges
5.2.4.1 Developing Customized NLP Solutions
5.2.4.2 Regulatory and Privacy Concerns Over Data Security
5.3 Industry Trends
5.3.1 Case Study Analysis
5.3.1.1 Case Study 1: NLP Legal Clause Rewriter Built by Width.AI Improves Clause Clarity
5.3.1.2 Case Study 2: Observe.AI Built NLP-based Learning Program for Fortune 500 Education Company
5.3.2 Supply Chain Analysis
Figure 18 NLP in Education Market: Supply Chain Analysis
5.3.3 Regulatory Landscape
5.3.3.1 General Data Protection Regulation
5.3.3.2 Personal Information Protection and Electronic Documents Act
5.3.3.3 Cloud Security Alliance Security Trust Assurance and Risk
5.3.3.4 California Consumer Privacy Act
5.3.4 Patent Analysis
Table 3 Top Twenty Patents Owners in US, 2012-2022
Figure 19 Number of Patents Granted Worldwide, 2013-2022
Figure 20 Top Ten Companies with Highest Number of Patent Applications
5.3.5 Key Conferences & Events, 2023
Table 4 Detailed List of Conferences & Events, 2023
5.3.6 Pricing Analysis
Table 5 Average Selling Price Ranges of Subscription-based/Pay-As-You-Go NLP Services
5.3.7 Porter's Five Forces Analysis
Table 6 Impact of Each Force on NLP in the Education Market
Figure 21 Market: Porter's Five Forces Analysis
5.3.7.1 Threat of New Entrants
5.3.7.2 Threat of Substitutes
5.3.7.3 Bargaining Power of Buyers
5.3.7.4 Bargaining Power of Suppliers
5.3.7.5 Intensity of Competitive Rivalry
5.3.8 Key Stakeholders & Buying Criteria
Figure 22 Influence of Stakeholders in Buying Process for Top Three End-users
Table 7 Influence of Stakeholders on Buying Process for Top Three End-users
5.3.8.1 Buying Criteria
Figure 23 Key Buying Criteria for Top Three End-users
Table 8 Key Buying Criteria for Top Three End-users
5.3.9 Trends and Disruptions Impacting Customer Business
5.3.10 Ecosystem Analysis
Table 9 NLP in Education Market: Ecosystem
5.3.11 Ethics and Implications of NLP in Education
5.3.11.1 Bias and Fairness
5.3.11.2 Privacy and Security
5.3.11.3 Intellectual Property
5.3.11.4 Accountability and Responsibility
5.3.11.5 Societal and Economic Impact
5.3.12 Brief History of NLP Technology
5.3.13 Impact of Niche, Adjacent Technologies on Market
5.3.13.1 Artificial Intelligence
5.3.13.2 Internet of Things (IoT)
5.3.13.3 Augmented Reality (Ar)/Virtual Reality (Vr)
5.3.13.4 Cloud
5.3.13.5 Cybersecurity
5.3.14 Technology Roadmap for NLP in Education
5.3.14.1 Short-Term Roadmap (2023-2025)
5.3.14.2 Mid-Term Roadmap (2026-2028)
5.3.14.3 Long-Term Roadmap (2029-2030)
5.3.15 NLP in Education Software Applications and Use Cases
5.3.16 Best Practices in Market
5.3.17 Current and Emerging Business Models
5.3.17.1 Software as a Service (SaaS) Model
5.3.17.2 Consulting Services Model
5.3.17.3 Revenue Sharing Model
5.3.17.4 Pay-Per-Use Model

6 NLP in Education Market, by Offering
6.1 Introduction
6.1.1 Offering: Market Drivers
Figure 24 Services Segment to Grow at Higher CAGR During Forecast Period
Table 10 Market Size, by Offering, 2018-2022 (USD Million)
Table 11 Market Size, by Offering, 2023-2028 (USD Million)
6.2 Solutions
Figure 25 Text-based NLP Solution Subsegment to Command Largest Market Share in 2023
Table 12 Market Size, by Solution, 2018-2022 (USD Million)
Table 13 Market Size, by Solution, 2023-2028 (USD Million)
Table 14 Solutions: Market Size, by Region, 2018-2022 (USD Million)
Table 15 Solutions: Market Size, by Region, 2023-2028 (USD Million)
6.2.1 Text-based NLP Solution
Table 16 Text-based NLP Solution: Market Size, by Region, 2018-2022 (USD Million)
Table 17 Text-based NLP Solution: NLP in Education Market Size, by Region, 2023-2028 (USD Million)
6.2.1.1 Language Translation Tools
6.2.1.1.1 Translate Documents, Websites, Audio and Video Content in Real Time
6.2.1.2 Text-To-Speech Converters
6.2.1.2.1 Enable Conversion of Written or Text-based Content into Spoken Words
6.2.1.3 Sentiment Analysis Tools
6.2.1.3.1 Analyze Sentiment of Text-based Content
6.2.1.4 Plagiarism Checkers
6.2.1.4.1 Detect Instances of Plagiarism in Written Work
6.2.2 Audio-based NLP Solution
Table 18 Audio-based NLP Solution: Market Size, by Region, 2018-2022 (USD Million)
Table 19 Audio-based NLP Solution: Market Size, by Region, 2023-2028 (USD Million)
6.2.2.1 Speech Recognition Tools
6.2.2.1.1 Transcribe Spoken Words into Digital Text Format
6.2.2.2 Voice-To-Text Converters
6.2.2.2.1 Transcribe Speech into Written Text
6.2.2.3 Audio Transcription Tools
6.2.2.3.1 Transcribe Audio Recordings into Written Text Format
6.2.3 Image-based NLP Solution
Table 20 Image-based NLP Solution: Market Size, by Region, 2018-2022 (USD Million)
Table 21 Image-based NLP Solution: Market Size, by Region, 2023-2028 (USD Million)
6.2.3.1 Optical Character Recognition Tools
6.2.3.1.1 Recognize Human-Written or Printed Text
6.2.3.2 Image Captioning Tools
6.2.3.2.1 Generate Brief Description for Images
6.2.3.3 Image Recognition Tools
6.2.3.3.1 Identify and Classify Different Objects or Patterns Within Images
6.2.4 Video-based NLP Solution
Table 22 Video-based NLP Solution: Market Size, by Region, 2018-2022 (USD Million)
Table 23 Video-based NLP Solution: Market Size, by Region, 2023-2028 (USD Million)
6.2.4.1 Video Captioning Tools
6.2.4.1.1 Create Captions or Subtitles for Videos
6.2.4.2 Video Transcription Tools
6.2.4.2.1 Transcribe Speech in Videos into Written Text
6.2.4.3 Video Summarization Tools
6.2.4.3.1 Automatically Summarize Videos into Texts
6.3 Services
Figure 26 Managed Services Segment Expected to Grow at Higher CAGR During 2023-2028
Table 24 Market Size, by Service, 2018-2022 (USD Million)
Table 25 Market Size, by Service, 2023-2028 (USD Million)
Table 26 Services: Market Size, by Region, 2018-2022 (USD Million)
Table 27 Services: Market Size, by Region, 2023-2028 (USD Million)
6.3.1 Professional Services
Figure 27 Training, Support, and Maintenance Services Expected to Register Highest CAGR During 2023-2028
Table 28 Services: NLP in Education Market Size, by Professional Service, 2018-2022 (USD Million)
Table 29 Services: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 30 Professional Services: Market Size, by Region, 2018-2022 (USD Million)
Table 31 Professional Services: Market Size, by Region, 2023-2028 (USD Million)
6.3.1.1 Consulting
6.3.1.1.1 Assist in Understanding Customer Needs
Table 32 Consulting: Market Size, by Region, 2018-2022 (USD Million)
Table 33 Consulting: Market Size, by Region, 2023-2028 (USD Million)
6.3.1.2 Integration and Implementation
6.3.1.2.1 Ensure Effective Integration of All Installed Systems
Table 34 Integration and Implementation: Market Size, by Region, 2018-2022 (USD Million)
Table 35 Integration and Implementation: Market Size, by Region, 2023-2028 (USD Million)
6.3.1.3 Training, Support, and Maintenance
6.3.1.3.1 Help in Product Upgrades and Functional Impairments
Table 36 Training, Support, and Maintenance: Market Size, by Region, 2018-2022 (USD Million)
Table 37 Training, Support, and Maintenance: Market Size, by Region, 2023-2028 (USD Million)
6.3.2 Managed Services
6.3.2.1 Assist in Managing and Supporting IT Infrastructure of NLP Providers
Table 38 Managed Services: Market Size, by Region, 2018-2022 (USD Million)
Table 39 Managed Services: Market Size, by Region, 2023-2028 (USD Million)

7 NLP in Education Market, by Model Type
7.1 Introduction
7.1.1 Model Type: Market Drivers
Figure 28 Hybrid NLP Segment Expected to Register Highest CAGR During Forecast Period
Table 40 Market Size, by Model Type, 2018-2022 (USD Million)
Table 41 Market Size, by Model Type, 2023-2028 (USD Million)
7.2 Statistical NLP
7.2.1 Suitable Approach to Generate Results with Large Datasets
Table 42 Statistical NLP: Market Size, by Region, 2018-2022 (USD Million)
Table 43 Statistical NLP: Market Size, by Region, 2023-2028 (USD Million)
7.3 Hybrid NLP
7.3.1 Ideal in Absence of Proper Datasets
Table 44 Hybrid NLP: Market Size, by Region, 2018-2022 (USD Million)
Table 45 Hybrid NLP: Market Size, by Region, 2023-2028 (USD Million)
7.4 Rule-based NLP
7.4.1 Widely Used for Tokenization
Table 46 Rule-based NLP: Market Size, by Region, 2018-2022 (USD Million)
Table 47 Rule-based NLP: Market Size, by Region, 2023-2028 (USD Million)

8 NLP in Education Market, by End-user
8.1 Introduction
8.1.1 End-user: Market Drivers
Figure 29 Academic User Segment to Account for Larger Share of Market in 2023
Table 48 Market Size, by End-user, 2018-2022 (USD Million)
Table 49 Market Size, by End-user, 2023-2028 (USD Million)
8.2 Academic User
Figure 30 Higher Education Subsegment to Capture Larger Share of Market in 2023
Table 50 Market Size, by Academic User, 2018-2022 (USD Million)
Table 51 Market Size, by Academic User, 2023-2028 (USD Million)
Table 52 Academic User: Market Size, by Region, 2018-2022 (USD Million)
Table 53 Academic User: Market Size, by Region, 2023-2028 (USD Million)
8.2.1 Higher Education
8.2.1.1 NLP Solutions Used to Identify Areas That Need Improvement
Table 54 Higher Education: Market Size, by Region, 2018-2022 (USD Million)
Table 55 Higher Education: Market Size, by Region, 2023-2028 (USD Million)
8.2.2 K12
8.2.2.1 Governments Worldwide Encouraging Adoption of NLP Solutions to Improve Quality of Education at K12 Level
Table 56 K12: Market Size, by Region, 2018-2022 (USD Million)
Table 57 K12: Market Size, by Region, 2023-2028 (USD Million)
8.3 Edtech Provider
Table 58 Edtech Provider: Market Size, by Region, 2018-2022 (USD Million)
Table 59 Edtech Provider: Market Size, by Region, 2023-2028 (USD Million)
8.3.1 Learning Management System Providers
8.3.1.1 Improve Learning Services Through NLP-based Offerings
8.3.2 Virtual Classroom Providers
8.3.2.1 Use NLP to Offer Customized Learning Materials
8.3.3 E-Learning Platform Providers
8.3.3.1 Create and Curate Content in Multiple Languages with NLP
8.3.4 Learning Content Providers
8.3.4.1 Use NLP for Content Analysis and Personalization
8.3.5 Mobile Learning Providers
8.3.5.1 Use NLP to Develop More Engaging, Personalized, and Accessible Mobile Learning Platforms
8.3.6 Skill Development Platform Providers
8.3.6.1 Improve Efficiency and Effectiveness of Learning Platforms with NLP

9 NLP in Education Market, by Application
9.1 Introduction
9.1.1 Application: Market Drivers
Figure 31 Sentiment Analysis & Data Extraction Segment to Lead Market in 2023
Table 60 NLP in Education Market Size, by Application, 2018-2022 (USD Million)
Table 61 Market Size, by Application, 2023-2028 (USD Million)
9.2 Sentiment Analysis & Data Extraction
Table 62 Sentiment Analysis & Data Extraction: Market Size, by Region, 2018-2022 (USD Million)
Table 63 Sentiment Analysis & Data Extraction: Market Size, by Region, 2023-2028 (USD Million)
9.2.1 Student Behavior and Feedback Analysis
9.2.1.1 Need to Determine Overall Emotional Tone of Content
9.2.2 Social Media Analysis
9.2.2.1 Need to Leverage Social Media Data to Enhance Educational Experience for Students
9.2.3 Course Material Analysis
9.2.3.1 Helps Identify Areas of Potential Confusion or Difficulty for Students
9.2.4 Admissions Support & Analysis
9.2.4.1 Assist in Identifying Promising Candidates
9.2.5 Student Performance Analysis
9.2.5.1 Data Extraction Helps Analyze Student Performance Data
9.2.6 Research Analysis
9.2.6.1 Used to Analyze Research Articles, Papers, and Publications
9.3 Content Management & Automatic Summarization
Table 64 Content Management & Automatic Summarization: NLP in Education Market Size, by Region, 2018-2022 (USD Million)
Table 65 Content Management & Automatic Summarization: Market Size, by Region, 2023-2028 (USD Million)
9.3.1 Textbook Summarization
9.3.1.1 Helps to Identify Key Concepts and Summarize Content of Textbooks or Study Materials
9.3.2 Lecture Summarization
9.3.2.1 Helps Educators Identify Areas of Weakness and Improve Teaching Methods
9.3.3 Research Paper Summarization
9.3.3.1 Helps Extract Relevant Information from Lengthy Research Papers
9.3.4 Content/Essay Summarization
9.3.4.1 Helps Teachers Assess Content of Multiple Essays
9.3.5 Text Mining
9.3.5.1 Helps Mine Relevant Information from Large Sets of Educational Content
9.3.6 Question Answering
9.3.6.1 Aids Students to Get Answers to Questions in Real Time
9.3.7 Machine Translation
9.3.7.1 Makes Educational Content Accessible to Students Worldwide
9.4 Intelligent Tutoring & Language Learning
Table 66 Intelligent Tutoring & Language Learning: NLP in Education Market Size, by Region, 2018-2022 (USD Million)
Table 67 Intelligent Tutoring & Language Learning: Market Size, by Region, 2023-2028 (USD Million)
9.4.1 Adaptive Learning
9.4.1.1 Helps Analyze Learners' Performance on Tasks
9.4.2 Dialogue-based Tutoring
9.4.2.1 Supports Natural Language Interactions Between Learners and Systems
9.4.3 Intelligent Writing Assistance
9.4.3.1 Helps Learners Improve Writing Skills
9.4.4 Language Modeling
9.4.4.1 Assists Teachers in Creating Customized Learning Materials
9.4.5 Language Assessment
9.4.5.1 Used to Evaluate Language Proficiency Levels of Learners
9.4.6 Personalized Learning
9.4.6.1 Analyzes Student Data to Identify Strengths and Weaknesses
9.5 Risk & Threat Detection
Table 68 Risk & Threat Detection: NLP in Education Market Size, by Region, 2018-2022 (USD Million)
Table 69 Risk & Threat Detection: Market Size, by Region, 2023-2028 (USD Million)
9.5.1 Student Safety
9.5.1.1 Helps Identify Potential Threats to Student Safety
9.5.2 Cybersecurity
9.5.2.1 Used to Detect Potential Cyber Threats in Educational Institutions
9.5.3 Campus Security
9.5.3.1 Helps Detect Unusual Behavior or Suspicious Activities on Campuses
9.5.4 Admissions Fraud Detection
9.5.4.1 Helps Detect Fraud in Admission Process
9.6 Corporate Training
Table 70 Corporate Training: NLP in Education Market Size, by Region, 2018-2022 (USD Million)
Table 71 Corporate Training: Market Size, by Region, 2023-2028 (USD Million)
9.6.1 Language Training for International Business
9.6.1.1 Creates Customized Language Training Programs for International Business Professionals
9.6.2 Soft Skills Training
9.6.2.1 Helps Students Improve Communication, Writing, and Presentation Skills
9.6.3 Compliance Training
9.6.3.1 Compliance Training Made More Engaging and Effective with NLP
9.6.4 Customer Service Training
9.6.4.1 NLP-based Training Programs Help Employees Improve Communication Skills
9.7 Other Applications
Table 72 Other Applications: Market Size, by Region, 2018-2022 (USD Million)
Table 73 Other Applications: Market Size, by Region, 2023-2028 (USD Million)

10 Market, by Region
10.1 Introduction
Figure 32 North America Expected to Account for Largest Size of Market in 2023
Figure 33 Asia-Pacific Market Expected to Grow at Highest CAGR During Forecast Period
Table 74 Market Size, by Region, 2018-2022 (USD Million)
Table 75 Market Size, by Region, 2023-2028 (USD Million)
10.2 North America
10.2.1 Recession Impact on Market in North America
10.2.2 North America: Market Drivers
Figure 34 North America: Market Snapshot
Table 76 North America: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 77 North America: Market Size, by Offering, 2023-2028 (USD Million)
Table 78 North America: Market Size, by Solution, 2018-2022 (USD Million)
Table 79 North America: Market Size, by Solution, 2023-2028 (USD Million)
Table 80 North America: Market Size, by Service, 2018-2022 (USD Million)
Table 81 North America: Market Size, by Service, 2023-2028 (USD Million)
Table 82 North America: Market Size, by Professional Service, 2018-2022 (USD Million)
Table 83 North America: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 84 North America: Market Size, by Model Type, 2018-2022 (USD Million)
Table 85 North America: Market Size, by Model Type, 2023-2028 (USD Million)
Table 86 North America: Market Size, by End-user, 2018-2022 (USD Million)
Table 87 North America: Market Size, by End-user, 2023-2028 (USD Million)
Table 88 North America: Market Size, by Academic User, 2018-2022 (USD Million)
Table 89 North America: Market Size, by Academic User, 2023-2028 (USD Million)
Table 90 North America: Market Size, by Application, 2018-2022 (USD Million)
Table 91 North America: Market Size, by Application, 2023-2028 (USD Million)
Table 92 North America: Market Size, by Country, 2018-2022 (USD Million)
Table 93 North America: Market Size, by Country, 2023-2028 (USD Million)
10.2.3 US
10.2.3.1 Presence of Key NLP Vendors to Drive Market
Table 94 US: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 95 US: Market Size, by Offering, 2023-2028 (USD Million)
Table 96 US: Market Size, by Service, 2018-2022 (USD Million)
Table 97 US: Market Size, by Service, 2023-2028 (USD Million)
Table 98 US: Market Size, by Model Type, 2018-2022 (USD Million)
Table 99 US: Market Size, by Model Type, 2023-2028 (USD Million)
Table 100 US: Market Size, by End-user, 2018-2022 (USD Million)
Table 101 US: Market Size, by End-user, 2023-2028 (USD Million)
Table 102 US: Market Size, by Academic User, 2018-2022 (USD Million)
Table 103 US: Market Size, by Academic User, 2023-2028 (USD Million)
10.2.4 Canada
10.2.4.1 Competitive AI Research Capabilities to Enhance Market Growth
Table 104 Canada: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 105 Canada: Market Size, by Offering, 2023-2028 (USD Million)
Table 106 Canada: Market Size, by Service, 2018-2022 (USD Million)
Table 107 Canada: Market Size, by Service, 2023-2028 (USD Million)
Table 108 Canada: Market Size, by Model Type, 2018-2022 (USD Million)
Table 109 Canada: Market Size, by Model Type, 2023-2028 (USD Million)
Table 110 Canada: Market Size, by End-user, 2018-2022 (USD Million)
Table 111 Canada: Market Size, by End-user, 2023-2028 (USD Million)
Table 112 Canada: Market Size, by Academic User, 2018-2022 (USD Million)
Table 113 Canada: Market Size, by Academic User, 2023-2028 (USD Million)
10.3 Europe
10.3.1 Recession Impact on the Market in Europe
10.3.2 Europe: Market Drivers
Table 114 Europe: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 115 Europe: Market Size, by Offering, 2023-2028 (USD Million)
Table 116 Europe: Market Size, by Solution, 2018-2022 (USD Million)
Table 117 Europe: Market Size, by Solution, 2023-2028 (USD Million)
Table 118 Europe: Market Size, by Service, 2018-2022 (USD Million)
Table 119 Europe: Market Size, by Service, 2023-2028 (USD Million)
Table 120 Europe: Market Size, by Professional Service, 2018-2022 (USD Million)
Table 121 Europe: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 122 Europe: Market Size, by Model Type, 2018-2022 (USD Million)
Table 123 Europe: Market Size, by Model Type, 2023-2028 (USD Million)
Table 124 Europe: Market Size, by End-user, 2018-2022 (USD Million)
Table 125 Europe: Market Size, by End-user, 2023-2028 (USD Million)
Table 126 Europe: Market Size, by Academic User, 2018-2022 (USD Million)
Table 127 Europe: Market Size, by Academic User, 2023-2028 (USD Million)
Table 128 Europe: Market Size, by Application, 2018-2022 (USD Million)
Table 129 Europe: Market Size, by Application, 2023-2028 (USD Million)
Table 130 Europe: Market Size, by Country, 2018-2022 (USD Million)
Table 131 Europe: Market Size, by Country, 2023-2028 (USD Million)
10.3.3 UK
10.3.3.1 Strong Focus on NLP Implementation to Accelerate Market Growth
Table 132 UK: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 133 UK: Market Size, by Offering, 2023-2028 (USD Million)
Table 134 UK: Market Size, by Service, 2018-2022 (USD Million)
Table 135 UK: Market Size, by Service, 2023-2028 (USD Million)
Table 136 UK: Market Size, by Model Type, 2018-2022 (USD Million)
Table 137 UK: Market Size, by Model Type, 2023-2028 (USD Million)
Table 138 UK: Market Size, by End-user, 2018-2022 (USD Million)
Table 139 UK: Market Size, by End-user, 2023-2028 (USD Million)
Table 140 UK: Market Size, by Academic User, 2018-2022 (USD Million)
Table 141 UK: Market Size, by Academic User, 2023-2028 (USD Million)
10.3.4 Germany
10.3.4.1 Government Investments in Digital Education Initiatives to Promote Market Growth
10.3.5 France
10.3.5.1 High-Potential Client Base to Play Strong Role in NLP Technology Adoption
10.3.6 Italy
10.3.6.1 NLP Adoption by Universities and Other Educational Institutions to Catalyze Market Growth
10.3.7 Spain
10.3.7.1 Government's National AI Strategy to Favor Market Growth
10.3.8 Rest of Europe
10.4 Asia-Pacific
10.4.1 Recession Impact on Market in Asia-Pacific
10.4.2 Asia-Pacific: Market Drivers
Figure 35 Asia-Pacific: NLP in Education Market Snapshot
Table 142 Asia-Pacific: Market Size, by Offering, 2018-2022 (USD Million)
Table 143 Asia-Pacific: Market Size, by Offering, 2023-2028 (USD Million)
Table 144 Asia-Pacific: Market Size, by Solution, 2018-2022 (USD Million)
Table 145 Asia-Pacific: Market Size, by Solution, 2023-2028 (USD Million)
Table 146 Asia-Pacific: Market Size, by Service, 2018-2022 (USD Million)
Table 147 Asia-Pacific: Market Size, by Service, 2023-2028 (USD Million)
Table 148 Asia-Pacific: Market Size, by Professional Service, 2018-2022 (USD Million)
Table 149 Asia-Pacific: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 150 Asia-Pacific: Market Size, by Model Type, 2018-2022 (USD Million)
Table 151 Asia-Pacific: Market Size, by Model Type, 2023-2028 (USD Million)
Table 152 Asia-Pacific: Market Size, by End-user, 2018-2022 (USD Million)
Table 153 Asia-Pacific: Market Size, by End-user, 2023-2028 (USD Million)
Table 154 Asia-Pacific: Market Size, by Academic User, 2018-2022 (USD Million)
Table 155 Asia-Pacific: Market Size, by Academic User, 2023-2028 (USD Million)
Table 156 Asia-Pacific: Market Size, by Application, 2018-2022 (USD Million)
Table 157 Asia-Pacific: Market Size, by Application, 2023-2028 (USD Million)
Table 158 Asia-Pacific: Market Size, by Country, 2018-2022 (USD Million)
Table 159 Asia-Pacific: Market Size, by Country, 2023-2028 (USD Million)
10.4.3 China
10.4.3.1 Development of Chatbots, Virtual Assistants, and Smart Devices to Boost NLP Penetration
Table 160 China: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 161 China: Market Size, by Offering, 2023-2028 (USD Million)
Table 162 China: Market Size, by Service, 2018-2022 (USD Million)
Table 163 China: Market Size, by Service, 2023-2028 (USD Million)
Table 164 China: Market Size, by Model Type, 2018-2022 (USD Million)
Table 165 China: Market Size, by Model Type, 2023-2028 (USD Million)
Table 166 China: Market Size, by End-user, 2018-2022 (USD Million)
Table 167 China: Market Size, by End-user, 2023-2028 (USD Million)
Table 168 China: Market Size, by Academic User, 2018-2022 (USD Million)
Table 169 China: Market Size, by Academic User, 2023-2028 (USD Million)
10.4.4 India
10.4.4.1 National Translation Mission to Foster Market Growth
10.4.5 Japan
10.4.5.1 Rapid Development of AI to Drive Market
10.4.6 South Korea
10.4.6.1 Use of NLP-Powered Speech Recognition Technology to Evaluate Pronunciation and Fluency of Students to Fuel Market Growth
10.4.7 Singapore
10.4.7.1 Adoption of NLP to Personalize Learning Experiences to Augment Market Growth
10.4.8 Australia & New Zealand
10.4.8.1 Growing Interest in NLP Implementation in Education Sector to Bolster Market Growth
10.4.9 Rest of Asia-Pacific
10.5 Middle East & Africa
10.5.1 Recession Impact on Market in Middle East & Africa
10.5.2 Middle East & Africa: Market Drivers
Table 170 Middle East & Africa: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 171 Middle East & Africa: Market Size, by Offering, 2023-2028 (USD Million)
Table 172 Middle East & Africa: Market Size, by Solution, 2018-2022 (USD Million)
Table 173 Middle East & Africa: Market Size, by Solution, 2023-2028 (USD Million)
Table 174 Middle East & Africa: Market Size, by Service, 2018-2022 (USD Million)
Table 175 Middle East & Africa: Market Size, by Service, 2023-2028 (USD Million)
Table 176 Middle East & Africa: Market Size, by Professional Service, 2018-2022 (USD Million)
Table 177 Middle East & Africa: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 178 Middle East & Africa: Market Size, by Model Type, 2018-2022 (USD Million)
Table 179 Middle East & Africa: Market Size, by Model Type, 2023-2028 (USD Million)
Table 180 Middle East & Africa: Market Size, by End-user, 2018-2022 (USD Million)
Table 181 Middle East & Africa: Market Size, by End-user, 2023-2028 (USD Million)
Table 182 Middle East & Africa: Market Size, by Academic User, 2018-2022 (USD Million)
Table 183 Middle East & Africa: Market Size, by Academic User, 2023-2028 (USD Million)
Table 184 Middle East & Africa: Market Size, by Application, 2018-2022 (USD Million)
Table 185 Middle East & Africa: Market Size, by Application, 2023-2028 (USD Million)
Table 186 Middle East & Africa: Market Size, by Country, 2018-2022 (USD Million)
Table 187 Middle East & Africa: Market Size, by Country, 2023-2028 (USD Million)
10.5.3 Saudi Arabia
10.5.3.1 Fekratech Initiative to Support NLP Adoption in Ksa
Table 188 Saudi Arabia: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 189 Saudi Arabia: Market Size, by Offering, 2023-2028 (USD Million)
Table 190 Saudi Arabia: Market Size, by Service, 2018-2022 (USD Million)
Table 191 Saudi Arabia: Market Size, by Service, 2023-2028 (USD Million)
Table 192 Saudi Arabia: Market Size, by Model Type, 2018-2022 (USD Million)
Table 193 Saudi Arabia: Market Size, by Model Type, 2023-2028 (USD Million)
Table 194 Saudi Arabia: Market Size, by End-user, 2018-2022 (USD Million)
Table 195 Saudi Arabia: Market Size, by End-user, 2023-2028 (USD Million)
Table 196 Saudi Arabia: Market Size, by Academic User, 2018-2022 (USD Million)
Table 197 Saudi Arabia: Market Size, by Academic User, 2023-2028 (USD Million)
10.5.4 United Arab Emirates
10.5.4.1 Uae's Data-Driven Infrastructure to Support AI Experiments to Fuel Market Growth
10.5.5 South Africa
10.5.5.1 National Development Plan to Support Market Growth
10.5.6 Israel
10.5.6.1 Use of NLP-based Tutoring Systems to Monitor Students' Progress to Propel Market Growth
10.5.7 Rest of Middle East & Africa
10.6 Latin America
10.6.1 Recession Impact on Market in Latin America
10.6.2 Latin America: Market Drivers
Table 198 Latin America: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 199 Latin America: Market Size, by Offering, 2023-2028 (USD Million)
Table 200 Latin America: Market Size, by Solution, 2018-2022 (USD Million)
Table 201 Latin America: Market Size, by Solution, 2023-2028 (USD Million)
Table 202 Latin America: Market Size, by Service, 2018-2022 (USD Million)
Table 203 Latin America: Market Size, by Service, 2023-2028 (USD Million)
Table 204 Latin America: Market Size, by Professional Service, 2018-2022 (USD Million)
Table 205 Latin America: Market Size, by Professional Service, 2023-2028 (USD Million)
Table 206 Latin America: Market Size, by Model Type, 2018-2022 (USD Million)
Table 207 Latin America: Market Size, by Model Type, 2023-2028 (USD Million)
Table 208 Latin America: Market Size, by End-user, 2018-2022 (USD Million)
Table 209 Latin America: Market Size, by End-user, 2023-2028 (USD Million)
Table 210 Latin America: Market Size, by Academic User, 2018-2022 (USD Million)
Table 211 Latin America: Market Size, by Academic User, 2023-2028 (USD Million)
Table 212 Latin America: Market Size, by Application, 2018-2022 (USD Million)
Table 213 Latin America: Market Size, by Application, 2023-2028 (USD Million)
Table 214 Latin America: Market Size, by Country, 2018-2022 (USD Million)
Table 215 Latin America: Market Size, by Country, 2023-2028 (USD Million)
10.6.3 Brazil
10.6.3.1 Increasing Number of Tech Startups to Aid Market Growth
Table 216 Brazil: NLP in Education Market Size, by Offering, 2018-2022 (USD Million)
Table 217 Brazil: Market Size, by Offering, 2023-2028 (USD Million)
Table 218 Brazil: Market Size, by Service, 2018-2022 (USD Million)
Table 219 Brazil: Market Size, by Service, 2023-2028 (USD Million)
Table 220 Brazil: Market Size, by Model Type, 2018-2022 (USD Million)
Table 221 Brazil: Market Size, by Model Type, 2023-2028 (USD Million)
Table 222 Brazil: Market Size, by End-user, 2018-2022 (USD Million)
Table 223 Brazil: Market Size, by End-user, 2023-2028 (USD Million)
Table 224 Brazil: Market Size, by Academic User, 2018-2022 (USD Million)
Table 225 Brazil: Market Size, by Academic User, 2023-2028 (USD Million)
10.6.4 Mexico
10.6.4.1 Government Initiatives Encouraging AI Adoption to Propel Market Growth
10.6.5 Rest of Latin America

11 Competitive Landscape
11.1 Overview
11.2 Strategies Adopted by Key Players
Table 226 Overview of Strategies Adopted by Key Players in the Market
11.3 Market Share Analysis of Top Vendors, 2022
Table 227 NLP in Education Market: Degree of Competition
Figure 36 Market: Revenue Analysis
11.4 Historical Revenue Analysis
11.5 Historical Revenue Analysis of Leading Players
Figure 37 Five Year Historic Revenue Analysis of Key Market Players
11.6 Company Evaluation Quadrant
11.6.1 Stars
11.6.2 Emerging Leaders
11.6.3 Pervasive Players
11.6.4 Participants
Figure 38 Market Players: Company Evaluation Quadrant, 2022
11.7 Competitive Benchmarking
Table 228 Market: List of Key Players
Table 229 Market: Competitive Benchmarking of Key Players
11.8 Startups/SMEs Evaluation Quadrant
11.8.1 Progressive Companies
11.8.2 Responsive Companies
11.8.3 Dynamic Companies
11.8.4 Starting Blocks
Figure 39 NLP in Education Market Startups/SMEs: Company Evaluation Quadrant, 2022
11.9 Startups/SMEs Competitive Benchmarking
Table 230 Market: List of Key Startups/SMEs
Table 231 Market: Competitive Benchmarking of Key Startups/SMEs
11.10 Competitive Scenarios and Trends
11.10.1 Product Launches
Table 232 Product Launches, 2020-2023
11.10.2 Deals
Table 233 Deals, 2021-2023

12 Company Profiles
12.1 Key Players
Business Overview, Solutions/Services Offered, Recent Developments, Analyst's View
12.1.1 IBM
Table 234 IBM: Business Overview
Figure 40 IBM: Company Snapshot
Table 235 IBM: Solutions and Services Offered
Table 236 IBM: Solution/Service Launches
12.1.2 Microsoft
Table 237 Microsoft: Business Overview
Figure 41 Microsoft: Company Snapshot
Table 238 Microsoft: Solutions and Services Offered
Table 239 Microsoft: Solution/Service Launches
Table 240 Microsoft: Deals
12.1.3 Google
Table 241 Google: Business Overview
Figure 42 Google: Company Snapshot
Table 242 Google: Solutions and Services Offered
Table 243 Google: Solution/Service Launches
12.1.4 Amazon Web Services (Aws)
Table 244 Aws: Business Overview
Figure 43 Aws: Company Snapshot
Table 245 Aws: Solutions and Services Offered
Table 246 Aws: Deals
12.1.5 Sas Institute
Table 247 Sas Institute: Business Overview
Figure 44 Sas Institute: Company Snapshot
Table 248 Sas Institute: Solutions and Services Offered
Table 249 Sas Institute: Solution/Service Launches
Table 250 Sas Institute: Deals
12.1.6 Inbenta
Table 251 Inbenta: Business Overview
Table 252 Inbenta: Solutions and Services Offered
12.1.7 Baidu
Table 253 Baidu: Business Overview
Figure 45 Baidu: Company Snapshot
Table 254 Baidu: Solutions and Services Offered
Table 255 Baidu: Solution/Service Launches
12.1.8 Welocalize
Table 256 Welocalize: Business Overview
Table 257 Welocalize: Solutions and Services Offered
12.1.9 Yellow.AI
Table 258 Yellow.AI: Business Overview
Table 259 Yellow.AI: Solutions and Services Offered
Table 260 Yellow.AI: Solution/Service Launches
12.1.10 Nice
Table 261 Nice: Business Overview
Figure 46 Nice: Company Snapshot
Table 262 Nice: Solutions and Services Offered
Table 263 Nice: Solution/Service Launches
Table 264 Nice: Deals
12.1.11 Abbyy
12.1.12 Automated Insights
12.1.13 Width.AI
12.1.14 Revolve.AI
12.1.15 Primer.AI
12.1.16 Carnegie Learning
12.1.17 Gecko
12.1.18 Ivy.AI
12.1.19 Attivio
12.1.20 Conversica
12.1.21 Avaamo
12.1.22 Aylien
12.1.23 Haptik
12.1.24 Gupshup
12.1.25 Sensforth.AI
12.1.26 Chivox
12.1.27 Cognii
Details on Business Overview, Solutions/Services Offered, Recent Developments, and Analyst's View Might Not be Captured in the Case of Unlisted Companies.

13 Adjacent/Related Markets
13.1 Introduction
13.1.1 Limitations
13.2 Conversational AI Market
13.2.1 Market Definition
13.2.2 Market Overview
13.2.3 Conversational AI Market, by Offering
Table 265 Conversational AI Market, by Offering, 2018-2022 (USD Million)
Table 266 Conversational AI Market, by Offering, 2023-2028 (USD Million)
13.2.4 Conversational AI Market, by Service
Table 267 Conversational AI Market, by Service, 2018-2022 (USD Million)
Table 268 Conversational AI Market, by Service, 2023-2028 (USD Million)
13.2.5 Conversational AI Market, by Business Function
Table 269 Conversational AI Market, by Business Function, 2018-2022 (USD Million)
Table 270 Conversational AI Market, by Business Function, 2023-2028 (USD Million)
13.2.6 Conversational AI Market, by Channel
Table 271 Conversational AI Market, by Channel, 2018-2022 (USD Million)
Table 272 Conversational AI Market, by Channel, 2023-2028 (USD Million)
13.2.7 Conversational AI Market, by Conversational Interface
Table 273 Conversational AI Market, by Conversational Interface, 2018-2022 (USD Million)
Table 274 Conversational AI Market, by Conversational Interface, 2023-2028 (USD Million)
13.3 Natural Language Processing (NLP) Market
13.3.1 Market Definition
13.3.2 Market Overview
13.3.3 NLP Market, by Solution
Table 275 NLP Solutions Market, by Type, 2016-2021 (USD Million)
Table 276 NLP Solutions Market, by Type, 2022-2027 (USD Million)
13.3.4 NLP Market, by Service
Table 277 NLP Services Market, by Type, 2016-2021 (USD Million)
Table 278 NLP Services Market, by Type, 2022-2027 (USD Million)
13.3.5 NLP Market, by Managed Service
Table 279 Managed Services: NLP Market, by Region, 2016-2021 (USD Million)
Table 280 Managed Services: NLP Market, by Region, 2022-2027(USD Million)
13.3.6 NLP Market, by Deployment Mode
Table 281 NLP Market, by Deployment Mode, 2016-2021 (USD Million)
Table 282 NLP Market, by Deployment Mode, 2022-2027 (USD Million)
13.3.7 NLP Market, by Organization Size
Table 283 NLP Market, by Organization Size, 2016-2021 (USD Million)
Table 284 NLP Market, by Organization Size, 2022-2027 (USD Million)

14 Appendix
14.1 Discussion Guide
14.2 Knowledgestore: The Subscription Portal
14.3 Customization Options

Executive Summary

Companies Mentioned

  • Abbyy
  • Amazon Web Services (Aws)
  • Attivio
  • Automated Insights
  • Avaamo
  • Aylien
  • Baidu
  • Carnegie Learning
  • Chivox
  • Cognii
  • Conversica
  • Gecko
  • Google
  • Gupshup
  • Haptik
  • IBM
  • Inbenta
  • Ivy.AI
  • Microsoft
  • Nice
  • Primer.AI
  • Revolve.AI
  • Sas Institute
  • Sensforth.AI
  • Welocalize
  • Width.AI
  • Yellow.AI

Methodology

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Table Information