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NLP in Education Market Growing Trends, New Opportunities, Future Outlook, Advance Technology, Global Size, Share And Forecast – 2028

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NLP in Education Market Growing Trends, New Opportunities, Future Outlook, Advance Technology, Global Size, Share And Forecast – 2028

November 08
21:24 2024
NLP in Education Market Growing Trends, New Opportunities, Future Outlook, Advance Technology, Global Size, Share And Forecast - 2028
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).
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

The global market for Natural Language Processing (NLP) in education is expected to expand from USD 99 million in 2023 to USD 228 million by 2028, reflecting a Compound Annual Growth Rate (CAGR) of 18.1%. This growth is driven by an increasing demand for effective language learning solutions, the need for predictive analytics to minimize risks and identify growth opportunities, and advancements in AI and deep learning technologies.

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Solutions segment to hold highest market share during forecast period

Al solutions are widely used as people become more aware of their alleged advantages. The NLP in education is a subset of artificial intelligence (AI) that corresponds to the processing and mining of unstructured data. It helps AI machines comprehend the intricacies and circumstances of language used by people to express themselves. It is often applied to data generated in the form of text, voice, and video materials. NLP in education solutions is provided by vendors like IBM, Microsoft, and Google with cutting-edge functions, including sentiment analysis, text classification & summarization, and speech recognition. Several manufacturers provide high-end NLP in education software solutions or Application Program Interfaces (APIs) with tailored capabilities in response to market customer expectations.

Professional Services segment to hold highest market share during forecast period

Training and consulting, system integration and implementation, and support and maintenance are the three sub-categories of professional services, where these services are supplementary to the purchase of software. A few businesses lack the necessary knowledge to successfully manage infrastructure, and as a result, they contract it out to firms that can offer these services. These services are essential for the deployment of NLP software. They are in charge of supporting, managing, and maintaining the installed software.

Modeling, organizing NLP, upgrading, and offering numerous other IT services are examples of professional services. Organizations that provide these services include big data specialists, devoted project management teams, support software, tools, services, and knowledge with a focus on the design and delivery of key choices.

Asia Pacific (APAC) to record highest growth rate in NLP in education market in 2023

Asia Pacific is anticipated to have the greatest CAGR during the projection period due to its advanced and dynamic adoption of new technologies. The adoption of NLP solutions & services in the region is anticipated to be fueled by the commercialization of AI and ML technologies and the need for additional developments to effectively utilise the technology. More than 50% of the world’s population lives in the region. Therefore any significant technology advancements like those predicted by Al are likely to have a significant impact on the region’s future. The majority of the NLP market in education share in this region is held by IBM, Microsoft, Google, and Amazon, together with a number of other important NLP-based solution providers. The region’s SMEs and large businesses have been implementing NLP-based solutions as they have grown more mindful of government rules and compliances.

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Unique Features in the NLP in Education Market

One of the standout features of NLP in education is its ability to facilitate language learning by offering real-time feedback and personalized instruction. NLP-powered tools can analyze student responses, suggest improvements, and provide immediate corrective feedback, making it easier for learners to grasp language nuances.

NLP tools in education offer predictive analytics that help educators identify students’ learning patterns and potential challenges. By analyzing data such as student progress and behavior, NLP solutions can provide insights into which students may need additional support, thereby enabling personalized education plans.

NLP technology enables automated grading systems, which save educators time and ensure consistent assessment standards. Through sophisticated algorithms, NLP can evaluate written responses, essays, and other assessments with high accuracy.

NLP in education enhances accessibility for students with disabilities, providing tools like speech-to-text and text-to-speech capabilities. These features support diverse learning needs, enabling students with visual, auditory, or cognitive challenges to access educational content effectively.

NLP solutions are also being used to provide real-time translation, which is valuable in multilingual educational settings. This capability allows educators and students to communicate seamlessly across language barriers, fostering collaboration and inclusivity.

Major Highlights of the NLP in Education Market

A major highlight driving the market is the increased focus on effective language learning solutions. NLP-powered tools offer interactive and personalized learning experiences that help students improve language skills through real-time feedback and error correction.

The demand for predictive analytics in education is growing, as it helps institutions identify growth opportunities and mitigate risks. NLP tools analyze vast amounts of data to predict students’ performance trends, allowing educators to proactively address learning challenges and customize educational approaches.

The market is also being driven by advancements in AI and deep learning, which enhance the accuracy and capabilities of NLP tools. These technologies enable more sophisticated language processing, improving automated grading, personalized content delivery, and interactive learning experiences.

NLP tools are supporting greater inclusivity in education by making learning accessible to students with disabilities. Features like speech-to-text, text-to-speech, and real-time translation are particularly beneficial for students with auditory, visual, or language barriers.

Another key highlight is the role of NLP in supporting multilingual education, allowing institutions to cater to students from varied linguistic backgrounds. Real-time translation and language processing features enable cross-cultural exchanges and more inclusive classrooms.

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Top Companies in the NLP in Education Market

Key and innovative companies 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).

IBM:

IBM is a global technology and consulting firm that provides consulting, hosting, and infrastructure services. Cloud and Cognitive Software, Global Business Services, Global Technology Services and Systems, and Global Financing are the four main business divisions that the corporation uses to conduct its operations. Because it is Al-compatible, IBM Cloud has become the preferred platform for all corporate applications. It is a unifying platform that unifies IBM’s capabilities into a single architecture and covers both public and private cloud platforms. The organisation is able to meet the needs of various enterprises throughout the world thanks to this strong cloud platform.

Microsoft:

Microsoft, a well-known international leader in information technology, offers software and a variety of licencing options. The business creates and supports software, services, products, and equipment. Operating systems (OS), cross-device productivity apps, servers, business solution apps, desktop and server administration tools, software development tools, and video games are among its product offerings. Additionally, the business creates, produces, and markets gadgets like PCs, tablets, gaming consoles, other intelligent devices, and related accessories. It provides a variety of services, such as cloud-based solutions, consulting services, and solution support. Microsoft is a leader in the development of analytics platforms and offers service production for the intelligent cloud with Al infusion.

Google:

2015 saw the establishment of Google’s parent company, Alphabet Inc. As one of the most recognisable brands in the world, Google’s product developments contribute to a growth in the use of its services. Android, Chrome, Gmail, Google Drive, Google Maps, Google Play, Search, and YouTube are just a few of the company’s key platforms and products, and each one has over one billion active users each month. The business invested in infrastructure, security, data management, analytics, and artificial intelligence in addition to creating a platform on the cloud. The clients of the organisation is distributed throughout a variety of industries, including the automotive, BFS, retail, and e-commerce, education, energy, engineering, entertainment, environment, food & beverage, government, healthcare, manufacturing, media, telecommunications, and IT, transportation, and travel & hospitality.

AWS (US):

Offers Amazon Comprehend, a suite of NLP tools that analyze text data. Educational institutions can utilize it for automated grading of essays, sentiment analysis of student feedback, and content summarization for study guides.

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