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The global natural language processing (NLP) market is expected to grow at a CAGR of 21.6% during the forecast period with its market size predicted to reach USD 72.5 billion by 2030. Globally, natural language processing (NLP) industry players are leveraging market growth through product launches, partnerships, mergers & acquisitions, and geographic expansion.

The machine Translation category held the largest share in the natural language processing (NLP) market in 2023

Based on application, the natural language processing (NLP) market is segmented into information extraction, question answering, machine translation, automatic summarization, sentiment analysis text processing, and others. Among these segments, the machine translation category held the largest share of the market in 2020, owing to the increasing demand in organizations for solutions that can facilitate the translation of text into multiple languages.

Global Natural Language Processing (NLP) Market Segmentation and Key Players

Segment / Key Players	Categorization
Type	Statistical, Rule-Based, Hybrid
Deployment Type	Public Cloud, Private Cloud, Hybrid Cloud
Solution	Auto Coding, Text Analytics, Speech Analytics, Interactive Voice Response [IVR], Pattern & Image Recognition, Optical Character Recognition
services	Managed, Professional
Application	Information Extraction, Question Answering, Machine Translation, Report Generation, Text Processing
Industry	BFSI, Automotive, Healthcare, Retail, IT & Telecommunication, Others
Key Players	3M Company, Apple Inc., Microsoft Corporation, Verint Systems Inc., AWS Inc, Dolbey Systems Inc., Genpact Ltd., Alphabet Inc., SAS Institute Inc., International Business Machines (IBM) Corporation, and Hewlett Packard Enterprise (HPE) Company.

Browse Market Insight and In-depth TOC on "Global Natural Language Processing (NLP) Market – Analysis and Forecast (2025-2030)"

Based on industry, the natural language processing (NLP) market is segmented into BFSI, healthcare, retail and e-commerce, manufacturing, media and entertainment, travel and hospitality, it & telecommunication, and others. Among these segments, the BFSI category held the largest share of the market in 2020.

Geography Insight

Geographically, North America has accounted for the largest share in the natural language processing (NLP) market, globally and is predicted to grow significantly during the forecast period. The growth of this market is attributed to the rising demand for enhanced customer experience, the increasing number of investments related to the integration of machine learning and NLP, rapid technological advancements, and the continuous focus of the government on spending on AI-based technologies in the region.

Competitive Insight

Some of the key players operating in the global natural language processing (NLP) market are 3M Company, Apple Inc., Microsoft Corporation, Verint Systems Inc., AWS Inc, Dolbey Systems Inc., Genpact Ltd., Alphabet Inc., SAS Institute Inc., International Business Machines (IBM) Corporation, and Hewlett Packard Enterprise (HPE) Company.

Key Takeaway from the Report:

• Among all the types, the statistical category held the largest share of the market in 2023.
• Of all deployments, the cloud category is expected to exhibit the fastest growth during the forecast period.
• Among all the applications, the machine translation category held the largest share in the market in 2023.
• Of all the industries, the BFSI category held the largest share of the market in 2023.
• Geographically, North America has accounted for the largest share in the natural language processing (NLP) market, globally and is predicted to grow significantly during the forecast period.

The Report Offers:

• Historical market estimate for the years 2018–2023 and forecast for the years 2025–2030
• Insight on current market trends, market dynamics, key opportunities and major challenges in the industry
• Market insights by in-depth segmentation with industry dynamics.
• Competitive analysis and benchmarking of the industry leaders and their product offerings
• Profiles of leading players and innovators, their financial overview, and product portfolio
• Analysis of key industry trends and recent developments
• Value chain analysis and distribution channel analysis with opportunity assessment
• Market share analysis of major players

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The report provides the market value for the base year 2023 and a yearly forecast till 2030 in terms of revenue (USD Billion). The report segments the global natural language processing (NLP) market based on type, deployment type, component, organization size, application, industry, and region.

Global Natural Language Processing (NLP) Market Coverage

Type Insight and Forecast 2025-2030

• Statistical
• Rule-Based
• Hybrid

Deployment Type Insight and Forecast 2025-2030

• Cloud
• On-Premises

Component Insight and Forecast 2025-2030

• Solutions
  • Platform
  • Software Tools
• Services
  • Managed
  • Professional
    • Consulting
    • Support and Maintenance

Organization Size Insight and Forecast 2025-2030

• Small and Medium-Sized Enterprises
• Large Enterprises

Application Insight and Forecast 2025-2030

• Information Extraction
• Question Answering
• Machine Translation
• Automatic Summarization
• Sentiment Analysis
• Text Processing
• Others

Industry Insight and Forecast 2025-2030

• Banking, Financial Services, and Insurance (BFSI)
• Healthcare
• Retail and E-commerce
• Manufacturing
• Media and Entertainment
• Travel and Hospitality
• IT & Telecommunication
• Others

Geographical Segmentation

Natural Language Processing (NLP) Market by Region

North America

• By Type
• By Deployment Type
• By Component
• By Organization Size
• By Application
• By Industry
• By Country – U.S., Canada, and Mexico

Europe

• By Type
• By Deployment Type
• By Component
• By Organization Size
• By Application
• By Industry
• By Country – Germany, U.K., France, Italy, Spain, and Rest of Europe

Asia-Pacific (APAC)

• By Type
• By Deployment Type
• By Component
• By Organization Size
• By Application
• By Industry
• By Country – China, Japan, India, South Korea, and Rest of Asia-Pacific

Rest of the World (RoW)

• By Type
• By Deployment Type
• By Component
• By Organization Size
• By Application
• By Industry
• By Country – Brazil, Saudi Arabia, South Africa, U.A.E., and Other Countries