The Global Natural Language Processing Market Report, released by Emergen Research, provides an overall analysis of the Natural Language Processing Market, taking into account all of the major driving forces behind the sector's expansion. The most recent research study includes a thorough examination of the micro- and macroeconomic aspects that affect the growth of the global market from 2022 to 2030.
At a constant revenue CAGR of 25.7% from 2017 to 2030, the size of the worldwide Natural Language Processing (NLP) market is anticipated to reach USD 98.05 billion. The consistent market revenue development of NLP can be due to the rising demand for cloud-based NLP solutions to lower overall costs and improve scalability. Given the rapid expansion of cloud computing services, combining NLP on the cloud has enormous advantages. It enables academics to execute NLP-related experiments on enormous volumes of data processed using big data techniques employing the enormous, on-demand computing capability of the cloud. Its cloud-based tools and applications, however, have not been widely enough spread, and there is little literature that reflects the range of interdisciplinary endeavour. Natural language processing, big data, and cloud computing are all vast topics with prospects and challenges. By merging these sciences, these barriers can be surmounted and a great deal of potential for NLP and its applications can be unleashed.
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Report Objective:
The report offers a complete analysis of the global Natural Language Processing market with details about each market player including company profile, financial standing, global position, revenue contribution, production and manufacturing capacity, business expansion plans, and new product launches. Key players are strategizing various plans such as MA acquisition, partnerships, joint ventures, license agreement and collaborations. IBM, Microsoft, Google, Amazon Web Services, Inc., Meta, 3M, Baidu, Apple Inc., SAS Institute Inc., IQVIA and others are some of the top companies profiled in the report.
The report also covers the scope of individual applications and types in each region. The report also covers details about production and consumption patterns, technological developments, revenue growth, market size, market share, key trends and demands influencing market growth in the region, and robust presence of key players in the region.
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Emergen Research has segmented the global Natural Language Processing (NLP) market on the basis of component, type, application, vertical, and region:
- Component Outlook (Revenue, USD Million; 2019–2030)
- Solutions
- Services
- Type Outlook (Revenue, USD Million; 2019–2030)
- Rule-Based
- Statistical
- Hybrid
- Application Outlook (Revenue, USD Million; 2019–2030)
- Customer Experience Management
- Virtual Assistant/Chatbots
- Social Media Monitoring
- Sentiment Analysis
- Other Applications
- Vertical Outlook (Revenue, USD Million; 2019–2030)
- Banking, Financial Services, Insurance (BFSI)
- IT ITES
- Retail E-Commerce
- Healthcare Life Sciences
- Other Verticals
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Major Geographies Analyzed in the Report:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
The report addresses the following key points:
The report estimates the expected market size from 2022-2030
The report provides a forecast of market drivers, restraints, and future opportunities for the Natural Language Processing market
The report further analyses the changing market dynamics
Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
Extensive competitive landscape mapping with profiles of the key competitors
In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
Revenue forecast, country scope, application insights, and product insights
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