Growing Integration of Artificial Intelligence (AI) to Streamline Business Operations to Drive the Market

Published: Mar 2023

The global natural language processing (NLP) market is anticipated to grow at a considerable CAGR of 24.9% during the forecast period. NLP is the sub-field of AI that focuses on the ability of a computer to understand human language (command) as spoken or written and to give an output by processing it. It recognizes, interprets, and manipulates human languages. Owing to the growing popularity of human-to-machine interactions and the requirement for big data technologies, NLP is gaining traction rapidly. It also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processes. NLP solutions/services are widely used in a variety of industries, including healthcare, manufacturing, BFSI, advertising, and automotive. Manufacturing, robotics, and process automation are all end-users of these solutions/services. NLP has been integrated into robots, which helps the manufacturing industry increase production efficiency and workflow. As a result, acceptance of these solutions is expected to increase. One of the major drivers and investors in the NLP market is large corporations. The use of NLP is anticipated to rise as these businesses employ deep learning, as well as supervised and unsupervised machine learning technologies for diverse applications. Large businesses are adopting these technologies for a variety of reasons, including cost and risk.

Browse the full report description of “Natural language processing (NLP) Market Size, Share & Trends Analysis Report by Deployment (On-premise, and Cloud), by Organization Size (Large Organizations, and Small and Medium Organizations), by Type (Hardware, Software, and Solutions), by Processing Type (Text, Speech/Voice, and Image), and by End-user Industry (Education, BFSI, Healthcare, IT and Telecom, Retail, Manufacturing, Media, and Entertainment) Forecast Period (2023-2029)” at https://www.omrglobal.com/industry-reports/natural-language-processing-nlp-market

For Instance, NetBase merged with Quid, one of the leading firms in AI-driven text analytics, in January 2020. The merged firm will have a stronger range of next-generation consumer and market intelligence solutions as a consequence of this transaction. Contextual insights that highlight business patterns across all types of structured and unstructured data will be delivered by the combined organization.

Market Coverage

The market number available for – 2021-2029

Base year- 2021

Forecast period- 2022-2029

Segment Covered- 

o By Deployment

o By Organization Size

o By Type

o By Processing Type

o By End-user Industry

Regions Covered-

o North America

o Europe

o Asia-Pacific

o Rest of the World

Competitive Landscape- including IBM Corporation, Microsoft Corp., Google, Amazon Web Services, Inc., Meta Platforms, Inc., Baidu, Inc., SAS Institute Inc., IQVIA Inc. and Others.

Key questions addressed by the report

What is the market growth rate?

Which segment and region dominate the market in the base year?

Which segment and region will project the fastest growth in the market?

Who is the leader in the market?

How players are addressing challenges to sustain growth?

Where is the investment opportunity?

Global Natural Language Processing (NLP) Market Report Segment

By Deployment

  • On-premise
  • Cloud

By Organization Size

  • Large Organizations
  • Small and Medium Organizations

By Type

  • Hardware
  • Software
  • Solutions

By Processing Type

  • Text
  • Speech/Voice
  • Image

By End-user Industry

  • Education
  • BFSI
  • Healthcare
  • IT and Telecom
  • Retail & Manufacturing
  • Media & Entertainment

Global Natural Language Processing (NLP) Market Report Segment by Region

North America

United States

Canada

Europe

UK

Germany

Italy

Spain

France

Rest of Europe 

Asia-Pacific

China

India

Japan

South Korea

Rest of Asia-Pacific 

Rest of the World

Latin America 

Middle East & Africa


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