Growing Need for Efficient Language Learning to Boost NLP in Education Market Growth
According to the research report published by Market Research Future (MRFR), “NLP in Education Market Information Deployment Mode By Type, By Application And By Region – Market Forecast Till 2032”. The NLP in Education Market could thrive at a rate of 6.10% between 2023 and 2032. The market size will be reaching around USD 18.5 Billion by the end of the year 2032.
Market Analysis:
The global NLP in education market will touch USD 18.5 billion at a 6.10% CAGR by 2032, as per the recent Market Research Future report.
Key Players:
Eminent industry players profiled in the NLP in education market report include,
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Scope of the Report – NLP in Education Market:
Report Metrics | Details |
Market Size by 2032 | USD 18.5 Billion |
CAGR during 2022-2032 | 6.10% |
Base Year | 2022 |
Forecast | 2023-2032 |
key Market Opportunities | Growing adoption of NLP to assess student performance |
Key Market Dynamics | Rising demand for efficient language learning and increasing adoption of predictive analytics to provide targeted support to students at risks |
Drivers:
Growing Need for Efficient Language Learning to Boost Market Growth
The introduction of NLP especially in education is significantly influenced by the growing need for effective language acquisition. Applications for language learning are using NLP technology to improve a variety of areas of language acquisition. By examining speech patterns and giving learners real-time direction, NLP makes it possible to provide better pronunciation feedback. It can spot pronunciation, intonation, & accent mistakes, assisting pupils in honing their spoken language abilities
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Opportunities:
Increasing Adoption for Student Performance to offer Robust Opportunities
Systems for NLP tutoring might change the way the students learn. These programs may evaluate student inquiries and offer tailored advice and comments. Quizzes, interactive exercises, & evaluations are all types of instructional material that may be produced with the use of NLP algorithms. By producing instructional materials, automated content production saves time for teachers, maintains uniformity, and enables scalability. NLP language learning technologies enhance multilingual classrooms and global education programs by making language learning more efficient and available.
Restraints and Challenges:
Risk of Data Breaches to act as Market Restraint:
The limited accessibility of educational data and risks related to data breaches & sensitive information leakage to act as market restraints over the forecast period. Besides, the COVID-19 impact may also impede market growth.
Market Segmentation:
The global NLP in education market is bifurcated into type and application.
By type, cloud-based will lead the market over the forecast period. Statistical NLP may improve accuracy in the natural language tasks such as sentiment analysis, named the entity recognition, & language translation using cloud-based kind. This is because statistical models that are housed on the cloud can generalize better and learn from a larger amount of data than those which are on-premises. Statistical NLP may be readily scaled to accommodate enormous amounts of text data using cloud-based type.
By application, corporate training program will domineer the market over the forecast period. NLP solutions may help corporate training programs become more profitable, effective, and scalable while also improving learner satisfaction. NLP solutions may help in customizing the teaching process by looking into the learner’s language, the speech patterns, and behavior. With this information, the training curriculum may be changed to cater to the distinct needs of each student. NLP systems can reduce the cost of training by automating repetitive tasks like grading and evaluation and by removing the need for teachers and tangible training materials.
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Regional Analysis:
North America to Head NLP in Education Market:
In 2022, this market was headed by the North American NLP in Education Market (45.80%). Since it domineers AI & machine learning technologies, the region is a significant market for natural language processing technology. Additionally, the United States is home to a number of significant market participants, which encourages innovation in the field and supports the growth of natural language processing industry. Additionally, the North American NLP in Education market had the highest growth, with the U.S. market having the largest market share. The US & Canada are two examples of North America’s developed economies. These countries were some of the first to employ Al.
North America is a particularly competitive Al area since the United States and Canada are placed fourth and sixth internationally for government Al readiness in Oxford’s Government AI Readiness Index in 2019. Both countries have identified Al as the national policy priority. Businesses in the area have used ML, AI, and deep learning technologies into ongoing business operations to stay one step forward of the competition, notably in the US. Whether they are deployed or not, cloud-based solutions for customer assistance bring significant financial benefits to businesses that primarily offer contact centre services.
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APAC to Have Admirable Growth in NLP in Education Market:
From 2023 to 2032, the Asia Pacific market is anticipated to see rapid expansion. More individuals utilizing smartphones, rapid technological advancement, the digitization of economies, & regional governments’ initiatives all contribute to the increase. Additionally, this region holds leading positions in cutting-edge industries like robotics and has a sturdy IT infrastructure, service, and software, and offerings. These components would enable the market to develop profitably. Additionally, the Indian market was expanding at the quickest rate in the Asia-Pacific region, while China’s NLP in Education industry had the greatest market share.
The commercialization of ML and AI technologies and the requirement for additional improvements to properly employ the technology are expected to accelerate the adoption of NLP solutions & services in the area. The area is home to over 50% of the globe’s population. Therefore, any large technological developments, such as those Al prophesied, are likely to have a big influence on the future of the region. Together with a number of other significant NLP-based solution providers, IBM, Google, Microsoft, and Amazon own the majority of the NLP market share in education in this area. As companies have become more aware of government regulations and compliances, the region’s SMEs and major corporations have begun embracing NLP-based solutions.
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