Natural Language Processing (NLP) Market Analysis and Size

The increase in the usage of smart devices to facilitate smart environments is expected to influence the growth of global natural language processing (NLP) market over the forecast period of 2023 to 2030. Also the high demand for cloud-based NLP solutions to reduce overall costs and better scalability is also anticipated to flourish the growth of the global natural language processing (NLP) market. Furthermore, the rapid urge of predictive analytics to reduce risks and identify growth opportunities is also likely to positively impact the growth of the market. Moreover, rapid increase in scope and usage of IT and automation across the world is also expected create a huge demand for natural language processing (NLP) as well as lifting the growth of the global natural language processing (NLP) market.

 Global natural language processing (NLP) market which was USD 13.17 billion in 2022, is expected to reach USD 73.01 billion by 2030, and is expected to undergo a CAGR of 20.1% during the forecast period of 2023 to 2030. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

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Market Definition

Natural language processing (NLP) is a kind of a computer application under artificial intelligence which can understand human language. This computerized procedure allows human communication to be analysed and interpreted by the computer, based on set of theories and technologies. NLP blends statistical, machine learning, and deep learning models with computational linguistics. With the use of these technologies, computers are now able to process human language in the form of text or audio data and fully understand what is being said or written, including the speakers or writer's intentions and sentiment. NLP powers computer algorithms that translate text between languages, react to spoken commands, and quickly summarize vast amounts of text in real time.

Natural language processing (nlp)  market report gives explanation about what market definition, classifications, applications, engagements and market trends are and acts as a window to the natural language processing (nlp)  industry. The report also gives details regarding the actions of major players such as product launches, joint ventures, developments, mergers and acquisitions and respective effects in terms of sales, import, export, revenue and CAGR values for the natural language processing (nlp) industry. This market report is a considerable document for every market enthusiast, policymaker, investor, and market player. Global natural language processing (nlp)  market research report is a great source of getting information for the major happenings and industry insights which helps succeed in this competitive age.

An international natural language processing (nlp)  report consists of basic, secondary, and advanced information associated with the global status, recent trends, market size, sales volume, market share, growth, future trends analysis, segment and forecasts from 2021 - 2028. This business report is prepared by taking into consideration the client’s requirements with respect to the market type, size of the organization, accessibility on-premises and the end-users’ organization type, and availability at global level in areas such as North America, South America, Europe, Asia-Pacific, Middle East and Africa. The persuasive natural language processing (nlp)  market report supports in adjusting the production depending on the conditions of demand in the market which avoids the wastage of goods.

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Countries Covered

U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa

Market Players Covered

IBM (U.S.), Wipro Limited (India), Microsoft (U.S.), Google (U.S.), Amazon Web Services, Inc. (U.S.), Meta (U.S.), Apple Inc. (U.S.), 3M (U.S.), Intel Corporation (U.S.), SAS Institute Inc. (U.S.), Inbenta Technologies Inc. (U.S.), Veritone, Inc. (U.S.), Dolbey (U.S.), Narrative Science (U.S.), Bitext (U.S.), Health Fidelity, Inc. (U.S.), Linguamatics (U.K.), Conversica, Inc. (U.S.), SparkCognition (U.S.), and RaGaVeRa Indic Technologies Pvt Ltd. (India)

Highlights of TOC:

·         Chapter 1: Market overview

·         Chapter 2: Global Natural Language Processing (NLP)  Market

·         Chapter 3: Regional analysis of the Global Natural Language Processing (NLP)  Market industry

·         Chapter 4: Natural Language Processing (NLP)  Market segmentation based on types and applications

·         Chapter 5: Revenue analysis based on types and applications

·         Chapter 6: Market share

·         Chapter 7: Competitive Landscape

·         Chapter 8: Drivers, Restraints, Challenges, and Opportunities

·         Chapter 9: Gross Margin and Price Analysis

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