The global Natural Learning Process (NLP) in the education market is expected to grow at a CAGR of 22.8% during the forecasted period 2023-2030. The market growth is driven due to factors such as affordability, scalability in computing power, a rise in data digitalization, and the convergence of NLP with deep learning (DL) and machine learning (ML). Other factors such as increasing usage of natural language processing in healthcare and contact centers, the rising demand for advanced text analytics, and the expansion of machine-to-machine technologies in the education sector are also contributing to the market growth.
Browse the full report description of “Natural Language Processing (NLP) in Education Market Size, Share & Trends Analysis Report by Offering (Solution and Service), by Model Type (Rule-based NLP, Statistical NLP, and Hybrid NLP), by Application (Data Extraction, Risk & Threat Detection, Intelligent Tutoring & Language Learning, Corporate Training, and Others), and by End-User (Academic User, and EdTech Provider) Forecast Period (2023-2030)” at https://www.omrglobal.com/industry-reports/nlp-in-education-market
The major companies serving the global natural language processing (NLP) market include IBM Corporation, Microsoft Corp., Google, Amazon Web Services, Inc., Meta Platforms, Inc., Baidu, Inc., SAS Institute Inc., IQVIA Inc., and Others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in November 2023, SAP SE announced it had joined the Stanford University Human-Centered Intelligence HAI Corporate Affiliate Program. SAP will be supporting Stanford HAI’s research, policy, and education efforts to help responsibly build and implement artificial intelligence (AI) using NLP.
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