Natural Language Processing (NLP) Global Market Report 2024

Description

Natural Language Processing (NLP) is an artificial intelligence field that empowers computers to comprehend and scrutinize human language. NLP enables computers, using artificial intelligence, to interpret real-world input and comprehend it in a manner akin to human understanding. Computers acquire information through microphones and programs.

NLP encompasses primary types such as text, speech/voice, and image processing. Text analytics, an artificial intelligence (AI) technique within NLP, transforms unstructured text in documents and databases into normalized, structured data, suitable for analysis or input to machine learning (ML) algorithms. NLP deployment options include on-premise, cloud, or a hybrid approach, with statistical components applicable in automatic summarization, sentiment analysis, risk, and threat detection. Various end-user sectors, including education, BFSI, healthcare, IT and telecom, retail, manufacturing, media and entertainment, among others, benefit from NLP applications.

The natural language processing (NLP) market research report is one of a series of new reports from The Business Research Company that provides natural language processing (NLP) market statistics, including natural language processing (NLP) industry global market size, regional shares, competitors with a natural language processing (NLP) market share, detailed natural language processing (NLP) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language processing (NLP) industry. This natural language processing (NLP) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The natural language processing (nlp) market size has grown exponentially in recent years. It will grow from $24.31 billion in 2023 to $31.05 billion in 2024 at a compound annual growth rate (CAGR) of 27.8%. Historical growth can be attributed to the surge in unstructured data volumes, the need for advanced data analytics, improvements in customer experience, the emergence of social media and online content, and advancements in healthcare information extraction.

The natural language processing (nlp) market size is expected to see exponential growth in the next few years. It will grow to $86.3 billion in 2028 at a compound annual growth rate (CAGR) of 29.1%. Anticipated growth in the forecast period is driven by the continued rise of digital assistants, their increasing integration into business intelligence, the development of multilingual NLP solutions, and a heightened focus on regulatory compliance. Major trends expected in this period include the integration with big data analytics, cross-channel and cross-platform NLP, a stronger emphasis on privacy and ethical considerations in NLP, integration with virtual and augmented reality, and the evolution of continuous learning and adaptive NLP models.

The surge in the utilization of smart devices is fueling the expansion of the Natural Language Processing (NLP) market. Smart devices, characterized by their connection to networks or other devices through wireless modes, leverage NLP to interpret and analyze voice commands provided by users. As an illustration, DataReportal, an online data and insights agency, reports a consistent 5.7% annual growth rate in the number of smartphones in use, with an average addition of 1 million new smartphones daily. This upward trend in smart device usage is anticipated to be a significant driver for the continued growth of the NLP market in the future.

The burgeoning e-commerce sector is poised to be a significant driver for the growth of the Natural Language Processing (NLP) market in the foreseeable future. E-commerce, involving the online buying and selling of goods and services, is instrumental in propelling the NLP market forward. NLP finds extensive application in the e-commerce domain, facilitating sentiment analysis, customer support chatbots, personalized recommendations, and efficient product searches. These NLP-driven functionalities contribute to an enhanced user experience, fostering seamless interactions, and elevating customer satisfaction and engagement. Notably, a report from the International Trade Administration in October 2021 anticipates that e-commerce for consumer goods will represent approximately 22% of global retail sales by 2024, exhibiting a steady average growth rate exceeding 1%. Furthermore, retail e-commerce sales are expected to maintain a consistent long-term increase of 8% in the overall global retail e-commerce sales through 2024. Consequently, the expanding e-commerce sector stands as a driving force behind the growth of the Natural Language Processing (NLP) market.

The NLP market is currently witnessing a surge in the adoption of technology advancements as a prominent trend. Leading companies in this sector are actively engaged in the enhancement and release of technologically advanced NLP software to drive market expansion. A case in point is Melax Tech, a US-based software company that introduced Mercury NLP in September 2021, leveraging AI technology. Mercury NLP represents innovative software incorporating clinical NLP pipelines, specifically designed to extract valuable unstructured textual medical data for quantitative analytics in domains such as medicine and pharmaceuticals. This cutting-edge software facilitates the extraction of text data from various medical sources in real-time, including diagnoses, prescribed medications, test results, lab reports, discharge plans, and more. Additionally, the technique holds the potential to contribute to public health improvement by analyzing social determinants of health data.

Leading enterprises in the natural language processing (NLP) market are actively pursuing advanced technologies, including NLP solutions, to broaden their customer base, boost sales, and augment overall revenue. NLP solutions, in this context, refer to technologies or systems designed to empower computers in understanding, interpreting, and generating human-such as language. A noteworthy example is Kensho Technologies Inc., a US-based artificial intelligence company, which introduced Kensho Classify in March 2023. Kensho Classify distinguishes itself as a robust solution adept at extracting value from extensive text and document datasets, elevating content discoverability, and facilitating sophisticated text analysis. Its distinctive features encompass intelligent search functionality, content recommendations, and efficient research and analysis tools. Whether employed by document platforms such as Virtual Data Rooms (VDRs) and Content Management Systems (CMSs) or by finance professionals seeking market signals within vast document repositories, Kensho Classify streamlines the process, ensuring that content becomes more organized, discoverable, and actionable.

In March 2022, Microsoft Corp., a technology company based in the United States, successfully acquired Nuance Communications Inc. for an undisclosed sum. This strategic acquisition positions Microsoft to contribute to the advancement of more efficient, cost-effective, and accessible healthcare solutions, as well as facilitate the creation of highly personalized customer experiences across various industries. Nuance Communications, a U.S.-based company specializing in ambient intelligence, natural language processing (NLP), and conversational artificial intelligence (AI), operates in diverse sectors such as financial services, healthcare, retail, and telecommunications. The integration of Nuance's expertise into Microsoft's portfolio enhances the capabilities of both entities, fostering innovation and addressing evolving needs in the technology landscape.

Major companies operating in the natural language processing (nlp) market report are Google LLC, Microsoft Corporation, Alibaba Group, Dell Technologies Inc., Intel Corporation, The Hewlett-Packard Company, International Business Machines Corporation, Cisco Systems Inc., 3M Company, NVIDIA Corp., Nokia Corporation, Salesforce.com Inc., Toshiba Corporation, FUJIFILM Holdings Corporation, Sharp Corporation, Baidu Research, Adobe Inc., Brother Industries Ltd., SAS Institute Inc., OpenAI, Amazon.com Inc., Apple Inc., Meta Platforms Inc., NetBase Quid Inc., Observe.AI, Allen Institute for AI, Gnani Innovations Private Limited

North America was the largest region in the NLP market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the natural language processing (nlp) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the natural language processing (nlp) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The natural language processing market includes revenues earned by entities by providing software tools that automate the processes for text summarization, text extraction, text classification, analyzing user language partners, and smart assistance using machine learning and artificial intelligence technology. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Natural Language Processing (NLP) Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on natural language processing (nlp) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
Measure the impact of high global inflation on market growth.
Create regional and country strategies on the basis of local data and analysis.
Identify growth segments for investment.
Outperform competitors using forecast data and the drivers and trends shaping the market.
Understand customers based on the latest market shares.
Benchmark performance against key competitors.
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Where is the largest and fastest growing market for natural language processing (nlp) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The natural language processing (nlp) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

1) By Processing Type: Text; Speech Or Voice; Image
2) By Deployment: On-Premise; Cloud
3) By Component: Statistical; Hybrid
4) By Application: Automatic Summarization; Sentiment Analysis; Risk And Threat Detection
5) By End User Industry: Education; BFSI; Healthcare; IT And Telecom; Retail; Manufacturing; Media And Entertainment; Other End User Industries
Companies Mentioned: Google LLC; Microsoft Corporation; Alibaba Group; Dell Technologies Inc.; Intel Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r15856

1. Executive Summary

2. Natural Language Processing (NLP) Market Characteristics

3. Natural Language Processing (NLP) Market Trends And Strategies

4. Natural Language Processing (NLP) Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global Natural Language Processing (NLP) Market Size and Growth

5.1. Global Natural Language Processing (NLP) Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global Natural Language Processing (NLP) Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Natural Language Processing (NLP) Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Natural Language Processing (NLP) Market Segmentation

6.1. Global Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Text
Speech Or Voice
Image
6.2. Global Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
On-Premise
Cloud
6.3. Global Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Statistical
Hybrid
6.4. Global Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Automatic Summarization
Sentiment Analysis
Risk And Threat Detection
6.5. Global Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Education
BFSI
Healthcare
IT And Telecom
Retail
Manufacturing
Media And Entertainment
Other End User Industries

7. Natural Language Processing (NLP) Market Regional And Country Analysis

7.1. Global Natural Language Processing (NLP) Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Natural Language Processing (NLP) Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Natural Language Processing (NLP) Market

8.1. Asia-Pacific Natural Language Processing (NLP) Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Natural Language Processing (NLP) Market

9.1. China Natural Language Processing (NLP) Market Overview
9.2. China Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Natural Language Processing (NLP) Market

10.1. India Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Natural Language Processing (NLP) Market

11.1. Japan Natural Language Processing (NLP) Market Overview
11.2. Japan Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Natural Language Processing (NLP) Market

12.1. Australia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Natural Language Processing (NLP) Market

13.1. Indonesia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Natural Language Processing (NLP) Market

14.1. South Korea Natural Language Processing (NLP) Market Overview
14.2. South Korea Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Natural Language Processing (NLP) Market

15.1. Western Europe Natural Language Processing (NLP) Market Overview
15.2. Western Europe Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Natural Language Processing (NLP) Market

16.1. UK Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Natural Language Processing (NLP) Market

17.1. Germany Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Natural Language Processing (NLP) Market

18.1. France Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Natural Language Processing (NLP) Market

19.1. Italy Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Natural Language Processing (NLP) Market

20.1. Spain Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Natural Language Processing (NLP) Market

21.1. Eastern Europe Natural Language Processing (NLP) Market Overview
21.2. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Natural Language Processing (NLP) Market

22.1. Russia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Natural Language Processing (NLP) Market

23.1. North America Natural Language Processing (NLP) Market Overview
23.2. North America Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Natural Language Processing (NLP) Market

24.1. USA Natural Language Processing (NLP) Market Overview
24.2. USA Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Natural Language Processing (NLP) Market

25.1. Canada Natural Language Processing (NLP) Market Overview
25.2. Canada Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Natural Language Processing (NLP) Market

26.1. South America Natural Language Processing (NLP) Market Overview
26.2. South America Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Natural Language Processing (NLP) Market

27.1. Brazil Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Natural Language Processing (NLP) Market

28.1. Middle East Natural Language Processing (NLP) Market Overview
28.2. Middle East Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Natural Language Processing (NLP) Market

29.1. Africa Natural Language Processing (NLP) Market Overview
29.2. Africa Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Natural Language Processing (NLP) Market Competitive Landscape And Company Profiles

30.1. Natural Language Processing (NLP) Market Competitive Landscape
30.2. Natural Language Processing (NLP) Market Company Profiles
- 30.2.1. Google LLC
  - 30.2.1.1. Overview
  - 30.2.1.2. Products and Services
  - 30.2.1.3. Strategy
  - 30.2.1.4. Financial Performance
- 30.2.2. Microsoft Corporation
  - 30.2.2.1. Overview
  - 30.2.2.2. Products and Services
  - 30.2.2.3. Strategy
  - 30.2.2.4. Financial Performance
- 30.2.3. Alibaba Group
  - 30.2.3.1. Overview
  - 30.2.3.2. Products and Services
  - 30.2.3.3. Strategy
  - 30.2.3.4. Financial Performance
- 30.2.4. Dell Technologies Inc.
  - 30.2.4.1. Overview
  - 30.2.4.2. Products and Services
  - 30.2.4.3. Strategy
  - 30.2.4.4. Financial Performance
- 30.2.5. Intel Corporation
  - 30.2.5.1. Overview
  - 30.2.5.2. Products and Services
  - 30.2.5.3. Strategy
  - 30.2.5.4. Financial Performance

31. Natural Language Processing (NLP) Market Other Major And Innovative Companies

31.1. The Hewlett-Packard Company
31.2. International Business Machines Corporation
31.3. Cisco Systems Inc.
31.4. 3M Company
31.5. NVIDIA Corp.
31.6. Nokia Corporation
31.7. Salesforce.com Inc.
31.8. Toshiba Corporation
31.9. FUJIFILM Holdings Corporation
31.10. Sharp Corporation
31.11. Baidu Research
31.12. Adobe Inc.
31.13. Brother Industries Ltd.
31.14. SAS Institute Inc.
31.15. OpenAI

32. Global Natural Language Processing (NLP) Market Competitive Benchmarking

33. Global Natural Language Processing (NLP) Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Natural Language Processing (NLP) Market

35. Natural Language Processing (NLP) Market Future Outlook and Potential Analysis

35.1 Natural Language Processing (NLP) Market In 2028 - Countries Offering Most New Opportunities
35.2 Natural Language Processing (NLP) Market In 2028 - Segments Offering Most New Opportunities
35.3 Natural Language Processing (NLP) Market In 2028 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer