Natural Language Processing (NLP) Market

Key Highlights of the report

How are the major segments performing in the natural language processing (NLP) market?

• In 2022, the solution category accounted for the largest share of the market. Market participants now have the chance to offer software tools implemented in cloud-based platforms due to the increasing need for NLP-based solutions to support corporate growth.
• In 2022, the on premise category held the largest share. The on-premises NLP solution provides complete visibility, authentication security controls, and control over data access. Additionally, the built-in redundancy makes scaling up or down to meet corporate demand easier.
• In 2022, the large enterprises category held the largest share due to the substantial demand for predictive techniques to preserve data security. Due to their simple availability and scalability, most enterprises have already used natural language processing-based technologies for processing their data in the cloud.
• In 2022, the statistical NLP category held the largest share. Machines can interpret and extrapolate meaning from human languages due to statistical natural language processing (NLP), which involves the autonomous manipulation of natural languages.
• In 2022, the IT and telecommunication category held the largest share. Using natural language processing technologies in the communications industry is highly advantageous. An NLP engine can analyze and parse numerous languages and automatically correct grammar in messaging applications.

What is the market size of natural language processing (NLP) regarding value?

The global natural language processing (NLP) market is anticipated to grow at a substantial CAGR of 26.90% in the upcoming years. The global Natural language processing (NLP) industry was estimated to be worth USD 15945.5 million in 2022 and was expected to be worth USD 84502.5 million by 2028.

Which region dominated the natural language processing (NLP) market?

In 2022, the North American region was anticipated to hold a prominent share of the global natural language processing (NLP) market. The area is a major natural language processing technology market since it dominates AI and machine learning technologies. Furthermore, the presence of significant market players encourages innovation in the area, supporting the expansion of the natural language processing industry. Additionally, regional governments increasingly support AI, ML, and NLP technologies, enabling market actors to establish themselves more firmly in the area.

How is US market performing in the natural language processing (NLP) market?

In 2022, the United States was anticipated to hold a prominent share of the North American region’s global natural language processing (NLP) market. During the forecast period, the market for NLP will grow due to increased connectivity, quick research and development, and highly developed infrastructures, as well as increased development and technologies with broad applications in the health sector and rising consumer demand. The expansion is also attributable to the region’s booming IT sector and large businesses offering cutting-edge goods and services that employ natural language processing. In addition, the U.S. government invested in the healthcare industry to modernize it by introducing cutting-edge technology like voice and text analytics to bring about digital transformation. The United States currently spends the most on healthcare globally.

How does the economy impact global natural language processing (NLP) growth?

Governments throughout the world have instituted lockdowns and restrictions in response to the COVID-19 outbreak, which has had a devastating influence on the world economy. However, the COVID-19 epidemic has forced businesses worldwide to switch to digital platforms and deploy technology-based solutions to optimize their corporate operations. Businesses adopted digital strategies to automate their business processes. Despite the pandemic, global market revenue climbed by 0.2%, reaching USD 16.43 billion in 2020.

What is the competitive environment of the natural language processing (NLP) market?

The global natural language processing market’s competitive landscape is moderately fragmented, with only a few major firms active on both a global and regional scale. Strategic partnerships between major players are formed to broaden each party’s portfolio and establish a solid footing in the global market. For instance, in January 2022, Gopher, an AI natural language processing model with 280 billion parameters built on the transformer architecture and trained on a corpus of 10.5 terabytes named MassiveText, was recently released by DeepMind Technologies, a division of Alphabet Inc. The NLP model performed better on 100 of the 124 evaluation tasks than the state-of-the-art. The team trained Gopher and a few smaller models to examine the benefits and drawbacks of large language models. (LLMs).

Executive Summary

What are the key trends in the natural language processing (NLP) market?

• Private enterprises are quickly embracing digitalization and Industry 4.0 technology to accelerate market expansion: The rapid expansion of companies operating in numerous industries is anticipated to be supported by adopting Industry 4.0 technologies. Managers now have more capacity to make data-driven decisions in areas like forecasting and territory management because of the automation of marketing and sales processes and the use of analytics. The demand for voice-activated products like the Amazon Echo or Alexa, iPhone’s Siri, Google Home, Microsoft’s Cortana, and IBM Watson uses NLP to simulate human contact with users. According to statistics, approximately 50% of American homes use speech to access web information. As a result, an inevitable development in technology is the rise of voice-activated smart consumer electronics.

How has small and medium-sized organizations’ increased use of cloud-based NLP and AI software helped the market grow?

Businesses are implementing cloud-based NLP systems to reduce the time needed to gather and process insightful data. AI-powered cloud-based solutions like interactive speech recognition systems are used by chatbots and voice search natural language processing technology to collect data. With the aid of this information, numerous market and predictive analytics for a certain product can be processed. But by automating laborious data collection chores, technical growth in AI has fundamentally changed Big Data analytics and led to the development of effective services. Several top firms developing AI-based software tools are achieving global business automation. For instance, in July 2022, DataEdge is a cloud-based and AI-powered data analytics tool that SecureKloud Technologies unveiled to help organizations power insights for decision-making. Rising cloud transformation solutions on the DataEdge platform offer highly modular, scalable, and API-driven solutions for gaining access to data-driven insights.

Which are the key investments by the natural language processing (NLP) market players?

More businesses are making investments in NLP (NLP). Additionally, the increased use of NLP-based applications across industries to improve customer experiences and boost investments in the healthcare sector is anticipated to present opportunities for NLP vendors worldwide. The market for NLP was driven by increasing R&D efforts and financial contributions from market participants to advance the Internet of Things. For instance, in March 2022, a USD 1.2 million investment was made in NeuralSpace, a natural language processing business. After obtaining assistance from Imperial’s entrepreneurship initiatives, the business raised USD 1.2 million in a round of funding headed by American investor Merus Capital. This will be used to develop its NLP platform, which provides the technology in several underutilized languages.

Some major players in the natural language processing (NLP) market are Apple Inc., Facebook, Google Inc., Hewlett-Packard Enterprise, IBM Corporation, Intel Corporation, Microsoft Corporation, Narrative Science, SAS Institute Inc., and Verint Systems, Inc.

What are the major driving factors for the natural language processing (NLP) market?

The natural language processing (NLP) market is predicted to grow over the forecast period as smart devices are utilized more frequently to support smart environments. The demand for cloud-based natural language processing (NLP) solutions, which are anticipated to lower overall costs and offer increased scalability, is projected to drive the growth of the NLP market. The speedy adoption of predictive analytics to reduce risks and identify growth opportunities will also positively impact market growth. Additionally, it is predicted that the rapidly growing scope and use of IT and automation globally would significantly increase demand for natural language processing (NLP) and drive the rise of the NLP industry.

What are the major risks for the natural language processing (NLP) market?

The challenges posed by the use of code-mixed language when implementing NLP solutions and limitations in developing NLP technology using neural networks restricting the use of cloud-based services are anticipated to act as the major limitations for the growth of natural language processing (NLP) in the aforementioned forecasted period. In contrast, the regulatory and privacy concerns regarding data security can challenge natural language processing (NLP). Additionally, the market’s expansion is hampered by the growing concern over data security and the limited enterprise-level interoperability of NLP-based software.

Which is the key industry vertical category in the natural language processing (NLP) market?

The IT and telecommunication category held the largest share of the market in 2022. A tremendous generation of enormous volumes of data may result from the growing use of 5G and IoT. IT companies increasingly need data-driven solutions to manage these data effectively. These issues are anticipated to be reduced with increasing product enhancement in the industry under study. By advancing hardware and software network technologies, the telecom industry is further prepared to take advantage of the market adoption of smart homes. The attention may also be placed on NLP systems with AI to improve the smart home experience.

How is the natural language processing (NLP) market performing in regions?

Asia Pacific market is anticipated to witness the fastest growth in the global natural language processing (NLP) market during the forecast period because artificial intelligence is becoming more widely known and is receiving more funding. Chinese companies like Baidu and Alibaba are increasing their investment in AI, which has a huge positive impact on revenue growth. Furthermore, the market is expanding since this region has widely adopted smart gadgets. The rise in the usage of smartphones, the quick development of technology, the digitalization of economies, and regional government initiatives are all responsible for the expansion. Additionally, this region is a global leader in innovative industries like robotics and has excellent software, service, and infrastructural support. These elements would foster the market’s potential for successful expansion.

What is the regulatory landscape for the natural language processing (NLP) market?

The market expansion of natural language processing has been spurred by rising digitalization and urbanization. Due to high market demand and large investments to improve connectivity for expanding the natural language processing market, the government is being supported with increasing initiatives and development of NLP in the health sector.

What are the major players planning for the future of the natural language processing (NLP) market?

The industry has grown due to increasing funding for developing new technologies in NLP and participation from key market participants in developing novel NLP methods and approaches. Additionally, businesses have increased their investment in utilizing the advantages of AI and machine learning, demonstrating a continually growing interest in the technology’s potential. For instance, in May 2022, a newcomer to the market, One AI Inc., announced the fundraising of $8 million for its launch. The business uses natural language processing technologies, and several well-known technology investors donated the cash.

Segmentation of Global Natural Language Processing (NLP) Market-

Global Natural Language Processing (NLP) Market – By Component

• Solution
• Services

Global Natural Language Processing (NLP) Market – By Deployment Mode

• On Premise
• Cloud

Global Natural Language Processing (NLP) Market – By Organization Size

• Large Enterprises
• SMEs

Global Natural Language Processing (NLP) Market – By Type

• Rule Based NLP
• Statistical NLP
• Hybrid NLP

Global Natural Language Processing (NLP) Market – By Industry Vertical

• IT and Telecommunication
• Retail and Ecommerce
• BFSI
• Healthcare
• Education
• Media and Entertainment
• Others

Global Natural Language Processing (NLP) Market – By Region

• North America
  • U.S
  • Canada
• Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Spain
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • South-east Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

1. Preface
1.1. Report Description
1.1.1. Purpose of the Report
1.1.2. Target Audience
1.1.3. USP and Key Offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Phase I – Secondary Research
1.3.2. Phase II – Primary Research
1.3.3. Phase III – Expert Panel Review
1.3.4. Approach Adopted
1.3.4.1. Top-Down Approach
1.3.4.2. Bottom-Up Approach
1.3.5. Assumptions
1.4. Market Introduction
1.5. Market Research Scope

2. Executive Summary
2.1. Market Snapshot: Global Natural Language Processing (NLP) Market
2.2. Global Natural Language Processing (NLP) Market, By Component
2.3. Global Natural Language Processing (NLP) Market, By Deployment Mode
2.4. Global Natural Language Processing (NLP) Market, By Organization Size
2.5. Global Natural Language Processing (NLP) Market, By Type
2.6. Global Natural Language Processing (NLP) Market, By Industry Vertical
2.7. Global Natural Language Processing (NLP) Market, By Region

3. Market Dynamics & Factors Analysis
3.1. Introduction
3.1.1. Global Natural Language Processing (NLP) Market Value, 2017-2030, (US$ Mn)
3.1.2. Y-o-Y Growth Trend Analysis
3.2. Market Dynamics
3.2.1. Market Drivers
3.2.2. Market Restraints
3.2.3. Market Opportunities
3.2.4. Major Industry Challenges
3.3. Growth and Development Patterns
3.4. Investment Feasibility Analysis
3.5. Market Opportunity Analysis
3.5.1. Component
3.5.2. Deployment Mode
3.5.3. Organization Size
3.5.4. Type
3.5.5. Industry Vertical
3.5.6. Geography

4. Premium Insights
4.1. STAR (Situation, Task, Action, Results) Analysis
4.2. Porter’s Five Forces Analysis
4.2.1. Threat of New Entrants
4.2.2. Bargaining Power of Buyers/Consumers
4.2.3. Bargaining Power of Suppliers
4.2.4. Threat of Substitute Types
4.2.5. Intensity of Competitive Rivalry
4.3. Key Market Trends
4.3.1. Demand Side Trends
4.3.2. Supply Side Trends
4.4. Value Chain Analysis
4.5. Technology Analysis
4.6. Analysis and Recommendations
4.7. Marketing Strategy Analysis
4.7.1. Direct Marketing
4.7.2. Indirect Marketing
4.7.3. Marketing Channel Development Trend

5. Market Positioning of Key Players, 2022
5.1. Company Market Share of Key Players, 2022
5.2. Competitive Benchmarking
5.3. Market Positioning of Key Vendors
5.4. Geographical Presence Analysis
5.5. Major Strategies Adopted by Key Players
5.5.1. Key Strategies Analysis
5.5.2. Mergers and Acquisitions
5.5.3. Partnerships
5.5.4. Product Launch
5.5.5. Geographical Expansion
5.5.6. Others

6. Economic Impact Analysis
6.1. Recession Impact
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Latin America
6.1.5. Middle East and Africa
6.2. Ukraine-Russia War Impact
6.2.1. North America
6.2.2. Europe
6.2.3. Asia Pacific
6.2.4. Latin America
6.2.5. Middle East and Africa
6.3. COVID-19 Impact Analysis
6.3.1. North America
6.3.2. Europe
6.3.3. Asia Pacific
6.3.4. Latin America
6.3.5. Middle East and Africa

7. Global Natural Language Processing (NLP) Market
7.1. Global Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
7.1.1. Overview
7.1.2. Global Natural Language Processing (NLP) Market, By Component, 2022 vs 2030 (in%)
7.1.3. Global Natural Language Processing (NLP) Market, By Solution, 2017-2030 (US$ Mn)
7.1.4. Global Natural Language Processing (NLP) Market, By Services, 2017-2030 (US$ Mn)
7.2. Global Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
7.2.1. Overview
7.2.2. Global Natural Language Processing (NLP) Market, By Deployment Mode, 2022 vs 2030 (in%)
7.2.3. Global Natural Language Processing (NLP) Market, By On Premise, 2017-2030 (US$ Mn)
7.2.4. Global Natural Language Processing (NLP) Market, By Cloud, 2017-2030 (US$ Mn)
7.3. Global Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
7.3.1. Overview
7.3.2. Global Natural Language Processing (NLP) Market, By Organization Size, 2022 vs 2030 (in%)
7.3.3. Global Natural Language Processing (NLP) Market, By Large Enterprises, 2017-2030 (US$ Mn)
7.3.4. Global Natural Language Processing (NLP) Market, By SMEs, 2017-2030 (US$ Mn)
7.4. Global Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
7.4.1. Overview
7.4.2. Global Natural Language Processing (NLP) Market, By Type, 2022 vs 2030 (in%)
7.4.3. Global Natural Language Processing (NLP) Market, By Rule Based NLP, 2017-2030 (US$ Mn)
7.4.4. Global Natural Language Processing (NLP) Market, By Statistical NLP, 2017-2030 (US$ Mn)
7.4.5. Global Natural Language Processing (NLP) Market, By Hybrid NLP, 2017-2030 (US$ Mn)
7.5. Global Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
7.5.1. Overview
7.5.2. Global Natural Language Processing (NLP) Market, By Industry Vertical, 2022 vs 2030 (in%)
7.5.3. Global Natural Language Processing (NLP) Market, By IT and Telecommunication, 2017-2030 (US$ Mn)
7.5.4. Global Natural Language Processing (NLP) Market, By Retail And Ecommerce, 2017-2030 (US$ Mn)
7.5.5. Global Natural Language Processing (NLP) Market, By BFSI, 2017-2030 (US$ Mn)
7.5.6. Global Natural Language Processing (NLP) Market, By Healthcare, 2017-2030 (US$ Mn)
7.5.7. Global Natural Language Processing (NLP) Market, By Education, 2017-2030 (US$ Mn)
7.5.8. Global Natural Language Processing (NLP) Market, By Media And Entertainment, 2017-2030 (US$ Mn)
7.5.9. Global Natural Language Processing (NLP) Market, By Others, 2017-2030 (US$ Mn)

8. North America Natural Language Processing (NLP) Market Analysis
8.1. North America Natural Language Processing (NLP) Market, by Component, 2017-2030(US$ Mn)
8.1.1. Overview
8.1.2. SRC Analysis
8.2. North America Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030(US$ Mn)
8.2.1. Overview
8.2.2. SRC Analysis
8.3. North America Natural Language Processing (NLP) Market, by Organization Size, 2017-2030(US$ Mn)
8.3.1. Overview
8.3.2. SRC Analysis
8.4. North America Natural Language Processing (NLP) Market, by Type, 2017-2030(US$ Mn)
8.4.1. Overview
8.4.2. SRC Analysis
8.5. North America Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030(US$ Mn)
8.5.1. Overview
8.5.2. SRC Analysis
8.6. North America Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
8.6.1. U.S.
8.6.1.1. U.S. Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
8.6.1.2. U.S. Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
8.6.1.3. U.S. Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
8.6.1.4. U.S. Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
8.6.1.5. U.S. Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
8.6.1.6. U.S. Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
8.6.2. Canada
8.6.2.1. Canada Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
8.6.2.2. Canada Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
8.6.2.3. Canada Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
8.6.2.4. Canada Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
8.6.2.5. Canada Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
8.6.2.6. Canada Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)

9. Europe Natural Language Processing (NLP) Market Analysis
9.1. Europe Natural Language Processing (NLP) Market, by Component, 2017-2030(US$ Mn)
9.1.1. Overview
9.1.2. SRC Analysis
9.2. Europe Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030(US$ Mn)
9.2.1. Overview
9.2.2. SRC Analysis
9.3. Europe Natural Language Processing (NLP) Market, by Organization Size, 2017-2030(US$ Mn)
9.3.1. Overview
9.3.2. SRC Analysis
9.4. Europe Natural Language Processing (NLP) Market, by Type, 2017-2030(US$ Mn)
9.4.1. Overview
9.4.2. SRC Analysis
9.5. Europe Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030(US$ Mn)
9.5.1. Overview
9.5.2. SRC Analysis
9.6. Europe Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
9.6.1. Germany
9.6.1.1. Germany Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.1.2. Germany Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.1.3. Germany Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.1.4. Germany Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.1.5. Germany Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.1.6. Germany Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
9.6.2. France
9.6.2.1. France Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.2.2. France Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.2.3. France Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.2.4. France Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.2.5. France Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.2.6. France Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
9.6.3. UK
9.6.3.1. UK Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.3.2. UK Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.3.3. UK Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.3.4. UK Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.3.5. UK Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.3.6. UK Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
9.6.4. Italy
9.6.4.1. Italy Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.4.2. Italy Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.4.3. Italy Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.4.4. Italy Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.4.5. Italy Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.4.6. Italy Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
9.6.5. Spain
9.6.5.1. Spain Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.5.2. Spain Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.5.3. Spain Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.5.4. Spain Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.5.5. Spain Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.5.6. Spain Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
9.6.6. Rest of Europe
9.6.6.1. Rest of Europe Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
9.6.6.2. Rest of Europe Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
9.6.6.3. Rest of Europe Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
9.6.6.4. Rest of Europe Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
9.6.6.5. Rest of Europe Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
9.6.6.6. Rest of Europe Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)

10. Asia Pacific Natural Language Processing (NLP) Market Analysis
10.1. Asia Pacific Natural Language Processing (NLP) Market, by Component, 2017-2030(US$ Mn)
10.1.1. Overview
10.1.2. SRC Analysis
10.2. Asia Pacific Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030(US$ Mn)
10.2.1. Overview
10.2.2. SRC Analysis
10.3. Asia Pacific Natural Language Processing (NLP) Market, by Organization Size, 2017-2030(US$ Mn)
10.3.1. Overview
10.3.2. SRC Analysis
10.4. Asia Pacific Natural Language Processing (NLP) Market, by Type, 2017-2030(US$ Mn)
10.4.1. Overview
10.4.2. SRC Analysis
10.5. Asia Pacific Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030(US$ Mn)
10.5.1. Overview
10.5.2. SRC Analysis
10.6. Asia Pacific Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
10.6.1. China
10.6.1.1. China Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.1.2. China Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.1.3. China Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.1.4. China Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.1.5. China Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.1.6. China Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
10.6.2. Japan
10.6.2.1. Japan Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.2.2. Japan Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.2.3. Japan Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.2.4. Japan Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.2.5. Japan Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.2.6. Japan Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
10.6.3. India
10.6.3.1. India Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.3.2. India Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.3.3. India Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.3.4. India Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.3.5. India Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.3.6. India Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
10.6.4. South Korea
10.6.4.1. South Korea Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.4.2. South Korea Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.4.3. South Korea Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.4.4. South Korea Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.4.5. South Korea Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.4.6. South Korea Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
10.6.5. South-East Asia
10.6.5.1. South-East Asia Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.5.2. South-East Asia Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.5.3. South-East Asia Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.5.4. South-East Asia Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.5.5. South-East Asia Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.5.6. South-East Asia Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
10.6.6. Rest of Asia Pacific
10.6.6.1. Rest of Asia Pacific Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
10.6.6.2. Rest of Asia Pacific Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
10.6.6.3. Rest of Asia Pacific Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
10.6.6.4. Rest of Asia Pacific Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
10.6.6.5. Rest of Asia Pacific Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
10.6.6.6. Rest of Asia Pacific Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)

11. Latin America Natural Language Processing (NLP) Market Analysis
11.1. Latin America Natural Language Processing (NLP) Market, by Component, 2017-2030(US$ Mn)
11.1.1. Overview
11.1.2. SRC Analysis
11.2. Latin America Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030(US$ Mn)
11.2.1. Overview
11.2.2. SRC Analysis
11.3. Latin America Natural Language Processing (NLP) Market, by Organization Size, 2017-2030(US$ Mn)
11.3.1. Overview
11.3.2. SRC Analysis
11.4. Latin America Natural Language Processing (NLP) Market, by Type, 2017-2030(US$ Mn)
11.4.1. Overview
11.4.2. SRC Analysis
11.5. Latin America Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030(US$ Mn)
11.5.1. Overview
11.5.2. SRC Analysis
11.6. Latin America Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
11.6.1. Brazil
11.6.1.1. Brazil Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
11.6.1.2. Brazil Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
11.6.1.3. Brazil Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
11.6.1.4. Brazil Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
11.6.1.5. Brazil Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
11.6.1.6. Brazil Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
11.6.2. Mexico
11.6.2.1. Mexico Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
11.6.2.2. Mexico Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
11.6.2.3. Mexico Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
11.6.2.4. Mexico Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
11.6.2.5. Mexico Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
11.6.2.6. Mexico Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
11.6.3. Rest of Latin America
11.6.3.1. Rest of Latin America Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
11.6.3.2. Rest of Latin America Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
11.6.3.3. Rest of Latin America Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
11.6.3.4. Rest of Latin America Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
11.6.3.5. Rest of Latin America Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
11.6.3.6. Rest of Latin America Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)

12. Middle East and Africa Natural Language Processing (NLP) Market Analysis
12.1. Middle East and Africa Natural Language Processing (NLP) Market, by Component, 2017-2030(US$ Mn)
12.1.1. Overview
12.1.2. SRC Analysis
12.2. Middle East and Africa Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030(US$ Mn)
12.2.1. Overview
12.2.2. SRC Analysis
12.3. Middle East and Africa Natural Language Processing (NLP) Market, by Organization Size, 2017-2030(US$ Mn)
12.3.1. Overview
12.3.2. SRC Analysis
12.4. Middle East and Africa Natural Language Processing (NLP) Market, by Type, 2017-2030(US$ Mn)
12.4.1. Overview
12.4.2. SRC Analysis
12.5. Middle East and Africa Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030(US$ Mn)
12.5.1. Overview
12.5.2. SRC Analysis
12.6. Middle East and Africa Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
12.6.1. GCC Countries
12.6.1.1. GCC Countries Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
12.6.1.2. GCC Countries Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
12.6.1.3. GCC Countries Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
12.6.1.4. GCC Countries Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
12.6.1.5. GCC Countries Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
12.6.1.6. GCC Countries Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
12.6.2. South Africa
12.6.2.1. South Africa Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
12.6.2.2. South Africa Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
12.6.2.3. South Africa Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
12.6.2.4. South Africa Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
12.6.2.5. South Africa Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
12.6.2.6. South Africa Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)
12.6.3. Rest of Middle East and Africa
12.6.3.1. Rest of Middle East and Africa Natural Language Processing (NLP) Market Estimates and Forecast, 2017-2030 (US$ Mn)
12.6.3.2. Rest of Middle East and Africa Natural Language Processing (NLP), By Component, 2017-2030 (US$ Mn)
12.6.3.3. Rest of Middle East and Africa Natural Language Processing (NLP), By Deployment Mode, 2017-2030 (US$ Mn)
12.6.3.4. Rest of Middle East and Africa Natural Language Processing (NLP), By Organization Size, 2017-2030 (US$ Mn)
12.6.3.5. Rest of Middle East and Africa Natural Language Processing (NLP), By Type, 2017-2030 (US$ Mn)
12.6.3.6. Rest of Middle East and Africa Natural Language Processing (NLP), By Industry Vertical, 2017-2030 (US$ Mn)

13. Company Profiles
13.1. Apple Inc.
13.1.1. Company Overview
13.1.2. Products/Services Portfolio
13.1.3. Geographical Presence
13.1.4. Financial Summary
13.1.4.1. Market Revenue and Net Profit (2019-2022)
13.1.4.2. Business Segment Revenue Analysis
13.1.4.3. Geographical Revenue Analysis
13.2. Facebook
13.3. Google Inc.
13.4. Hewlett-Packard Enterprise
13.5. IBM Corporation
13.6. Intel Corporation
13.7. Microsoft Corporation
13.8. Narrative Science
13.9. SAS Institute Inc.
13.10. Verint Systems, Inc

List of Figures
FIG. 1 Global Natural Language Processing (NLP) Market: Research Methodology
FIG. 2 Market Size Estimation – Top Down & Bottom up Approach
FIG. 3 Global Natural Language Processing (NLP) Market Segmentation
FIG. 4 Global Natural Language Processing (NLP) Market, by Component, 2022 (US$ Mn)
FIG. 5 Global Natural Language Processing (NLP) Market, by Deployment Mode, 2022 (US$ Mn)
FIG. 6 Global Natural Language Processing (NLP) Market, by Organization Size, 2022 (US$ Mn)
FIG. 7 Global Natural Language Processing (NLP) Market, by Type, 2022 (US$ Mn)
FIG. 8 Global Natural Language Processing (NLP) Market, by Industry Vertical, 2022 (US$ Mn)
FIG. 9 Global Natural Language Processing (NLP) Market, by Geography, 2022 (US$ Mn)
FIG. 10 Attractive Investment Proposition, by Component, 2022
FIG. 11 Attractive Investment Proposition, by Deployment Mode, 2022
FIG. 12 Attractive Investment Proposition, by Organization Size, 2022
FIG. 13 Attractive Investment Proposition, by Type, 2022
FIG. 14 Attractive Investment Proposition, by Industry Vertical, 2022
FIG. 15 Attractive Investment Proposition, by Geography, 2022
FIG. 16 Global Market Share Analysis of Key Natural Language Processing (NLP) Market Manufacturers, 2022
FIG. 17 Global Market Positioning of Key Natural Language Processing (NLP) Market Manufacturers, 2022
FIG. 18 Global Natural Language Processing (NLP) Market Value Contribution, By Component, 2022 & 2030 (Value %)
FIG. 19 Global Natural Language Processing (NLP) Market, by Solution, Value, 2017-2030 (US$ Mn)
FIG. 20 Global Natural Language Processing (NLP) Market, by Services, Value, 2017-2030 (US$ Mn)
FIG. 21 Global Natural Language Processing (NLP) Market Value Contribution, By Deployment Mode, 2022 & 2030 (Value %)
FIG. 22 Global Natural Language Processing (NLP) Market, by On Premise, Value, 2017-2030 (US$ Mn)
FIG. 23 Global Natural Language Processing (NLP) Market, by Cloud, 2017-2030 (US$ Mn)
FIG. 24 Global Natural Language Processing (NLP) Market Value Contribution, By Organization Size, 2022 & 2030 (Value %)
FIG. 25 Global Natural Language Processing (NLP) Market, by Large Enterprises, Value, 2017-2030 (US$ Mn)
FIG. 26 Global Natural Language Processing (NLP) Market, by SMEs, 2017-2030 (US$ Mn)
FIG. 27 Global Natural Language Processing (NLP) Market Value Contribution, By Type, 2022 & 2030 (Value %)
FIG. 28 Global Natural Language Processing (NLP) Market, by Rule Based NLP, Value, 2017-2030 (US$ Mn)
FIG. 29 Global Natural Language Processing (NLP) Market, by Statistical NLP, Value, 2017-2030 (US$ Mn)
FIG. 30 Global Natural Language Processing (NLP) Market, by Hybrid NLP, 2017-2030 (US$ Mn)
FIG. 31 Global Natural Language Processing (NLP) Market Value Contribution, By Industry Vertical, 2022 & 2030 (Value %)
FIG. 32 Global Natural Language Processing (NLP) Market, by IT and Telecommunication, Value, 2017-2030 (US$ Mn)
FIG. 33 Global Natural Language Processing (NLP) Market, by Retail And Ecommerce, Value, 2017-2030 (US$ Mn)
FIG. 34 Global Natural Language Processing (NLP) Market, by BFSI, 2017-2030 (US$ Mn)
FIG. 35 Global Natural Language Processing (NLP) Market, by Healthcare, 2017-2030 (US$ Mn)
FIG. 36 Global Natural Language Processing (NLP) Market, by Education, 2017-2030 (US$ Mn)
FIG. 37 Global Natural Language Processing (NLP) Market, by Media And Entertainment, 2017-2030 (US$ Mn)
FIG. 38 Global Natural Language Processing (NLP) Market, by Others, 2017-2030 (US$ Mn)
FIG. 39 North America Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 40 U.S. Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 41 Canada Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 42 Europe Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 43 Germany Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 44 France Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 45 U.K. Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 46 Italy Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 47 Spain Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 48 Rest of Europe Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 49 Asia Pacific Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 50 China Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 51 Japan Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 52 India Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 53 South Korea Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 54 South-East Asia Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 55 Rest of Asia Pacific Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 56 Latin America Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 57 Brazil Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 58 Mexico Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 59 Rest of Latin America Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 60 Middle East & Africa Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 61 GCC Countries Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 62 South Africa Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)
FIG. 63 Rest of Middle East and Africa Natural Language Processing (NLP) Market, 2017-2030 (US$ Mn)

List of Tables
TABLE 1 Market Snapshot: Global Natural Language Processing (NLP) Market
TABLE 2 Global Natural Language Processing (NLP) Market, by Competitive Benchmarking, 2022
TABLE 3 Global Natural Language Processing (NLP) Market, by Geographical Presence Analysis, 2022
TABLE 4 Global Natural Language Processing (NLP) Market, by Key Strategies Analysis, 2022
TABLE 5 Global Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 6 Global Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 7 Global Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 8 Global Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 9 Global Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 10 Global Natural Language Processing (NLP) Market, by Geography, 2017-2030 (US$ Mn)
TABLE 11 North America Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 12 North America Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 13 North America Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 14 North America Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 15 North America Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 16 North America Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
TABLE 17 US Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 18 US Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 19 US Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 20 US Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 21 US Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 22 Canada Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 23 Canada Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 24 Canada Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 25 Canada Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 26 Canada Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 27 Europe Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 28 Europe Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 29 Europe Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 30 Europe Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 31 Europe Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 32 Europe Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
TABLE 33 Germany Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 34 Germany Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 35 Germany Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 36 Germany Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 37 Germany Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 38 France Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 39 France Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 40 France Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 41 France Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 42 France Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 43 UK Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 44 UK Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 45 UK Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 46 UK Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 47 UK Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 48 Italy Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 49 Italy Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 50 Italy Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 51 Italy Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 52 Italy Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 53 Spain Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 54 Spain Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 55 Spain Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 56 Spain Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 57 Spain Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 58 Rest of Europe Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 59 Rest of Europe Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 60 Rest of Europe Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 61 Rest of Europe Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 62 Rest of Europe Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 63 Asia Pacific Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 64 Asia Pacific Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 65 Asia Pacific Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 66 Asia Pacific Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 67 Asia Pacific Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 68 Asia Pacific Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
TABLE 69 China Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 70 China Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 71 China Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 72 China Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 73 China Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 74 Japan Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 75 Japan Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 76 Japan Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 77 Japan Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 78 Japan Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 79 India Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 80 India Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 81 India Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 82 India Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 83 India Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 84 South Korea Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 85 South Korea Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 86 South Korea Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 87 South Korea Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 88 South Korea Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 89 South-East Asia Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 90 South-East Asia Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 91 South-East Asia Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 92 South-East Asia Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 93 South-East Asia Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 94 Rest of Asia Pacific Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 95 Rest of Asia Pacific Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 96 Rest of Asia Pacific Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 97 Rest of Asia Pacific Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 98 Rest of Asia Pacific Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 99 Latin America Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 100 Latin America Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 101 Latin America Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 102 Latin America Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 103 Latin America Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 104 Latin America Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
TABLE 105 Brazil Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 106 Brazil Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 107 Brazil Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 108 Brazil Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 109 Brazil Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 110 Mexico Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 111 Mexico Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 112 Mexico Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 113 Mexico Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 114 Mexico Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 115 Rest of Latin America Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 116 Rest of Latin America Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 117 Rest of Latin America Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 118 Rest of Latin America Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 119 Rest of Latin America Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 120 Middle East and Africa Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 121 Middle East and Africa Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 122 Middle East and Africa Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 123 Middle East and Africa Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 124 Middle East and Africa Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 125 Middle East and Africa Natural Language Processing (NLP) Market, by Country, 2017-2030 (US$ Mn)
TABLE 126 GCC Countries Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 127 GCC Countries Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 128 GCC Countries Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 129 GCC Countries Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 130 GCC Countries Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 131 South Africa Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 132 South Africa Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 133 South Africa Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 134 South Africa Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 135 South Africa Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)
TABLE 136 Rest of Middle East and Africa Natural Language Processing (NLP) Market, by Component, 2017-2030 (US$ Mn)
TABLE 137 Rest of Middle East and Africa Natural Language Processing (NLP) Market, by Deployment Mode, 2017-2030 (US$ Mn)
TABLE 138 Rest of Middle East and Africa Natural Language Processing (NLP) Market, by Organization Size, 2017-2030 (US$ Mn)
TABLE 139 Rest of Middle East and Africa Natural Language Processing (NLP) Market, by Type, 2017-2030 (US$ Mn)
TABLE 140 Rest of Middle East and Africa Natural Language Processing (NLP) Market, by Industry Vertical, 2017-2030 (US$ Mn)