Japan Natural Language Processing (NLP) Market Outlook 2020-2030

Japan Natural Language Processing (NLP) Market Analysis 2020-2030

The Japan natural language processing (NLP) market is anticipated to grow with a CAGR of 25.5% over the forecast period, i.e., 2021 - 2030. The factors that are anticipated to drive the growth of the market include the increasing focus of the government of Japan to promote the adoption of artificial intelligence, along with the numerous benefits associated with the adoption of natural language processing (NLP). Besides this, factors such as the increasing use of natural language processing (NLP) across different end-use industries, along with the advancement in deep learning architecture and algorithms, especially in the field of image recognition and speech processing, are also expected to contribute to the market growth in the coming years. The market is estimated to garner a revenue of close to USD 4740 Million by the end of 2030, up from a revenue of around USD 510 Million in the year 2020.

The Japan natural language processing (NLP) market is segmented into numerous segments, which include segmentation by component, deployment, enterprise size, type, language, application, and by end-use industry. By component, the market is segmented into hardware, solutions, and services. Amongst these segments, the services segment is anticipated to garner the largest revenue of over USD 1920 Million by the end of 2030, up from a revenue of around USD 210 Million in the year 2020.

The market is also segmented on the basis of application into sentiment analysis, data extraction, risk & threat detection, automatic summarization, content management, language scoring, and others. Amongst these segments, the extraction segment generated the largest revenue of near to USD 120 Million in the year 2020, and is further expected to cross USD 1240 Million by the end of 2030.

Some of the prominent industry leaders in the Japan natural language processing (NLP) market that are included in our report are Microsoft Corporation, Amazon.com, Inc., Alphabet Inc., IBM Corporation, Micro Focus International plc, SAS Institute Inc., Atilika, Inc., Data Artist Inc., WOW WORLD Inc., Nippon Telegraph and Telephone Corporation, and others.