Natural Language Processing (NLP) Market Size - Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
Published on: 2024-07-07 | No of Pages : 240 | Industry : Media and IT
Publisher : MRA | Format : PDF&Excel
Natural Language Processing (NLP) Market Size - Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
Natural Language Processing (NLP) Market Size - Industry Analysis Report, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2024 – 2032
Natural Language Processing Market
Natural Language Processing Market size is expected to grow at a noteworthy CAGR from 2024 to 2032, due to the robust adoption of innovative technologies and increasing digital transformation. AI is currently playing a significant role in both the public & private sectors. In the public sector, NLP and more sophisticated AI technologies enhance accuracy, speed up response times, deliver a valuable customer experience, and free up staff members to focus on customer-centered tasks.
The increasing document backlogs in the government sector, declining response times, improved data quality, and faster data access facilitation will also outline the industry development. NLP has been gaining popularity in recent years as a result of improvements in computer-human interaction and the scaling of other language-related activities. However, the growing connection issues, such as accessibility issues and non-contextual responses, may limit the market expansion to some degree.
Natural Language Processing Market Trend
The rising internet penetration and the ever-expanding channels for communication, consumption, and engagement are compelling several businesses to review their branding & operating strategies. Businesses are developing customer-focused experience to attract customers away from competitors in today's competitive market. For instance, a chatbot powered by AI that can answer questions can be enabled by businesses through a distinct number of channels. Customer engagement vendors are further incorporating AI capabilities into their platforms to let users build scalable & customized customer experiences without human coding or logic creation.
Smart devices are being used more often to support smart environments, further creating lucrative opportunities for the industry expansion. Of late, there has been increased interest in complex text analytics as well as expanding internet and connected device usage. Moreover, NLP-based apps are employed more often across sectors to enhance user experience.
Natural Language Processing Market Analysis
With respect to type, the market share from the machine learning-based system will account for significant revenue share by 2032. As NLP deals with unstructured data, such as text from social media, customer reviews, and news articles, machine learning-based systems help in processing and extracting valuable insights from unstructured data. This is providing businesses with more comprehensive understanding of customer sentiments and preferences. The rising popularity of machine learning models, particularly deep neural networks as they are well-suited for capturing intricate language structures will also define the market growth.
Based on deployment, the on-premises natural language processing (NLP) market is slated to record robust growth till 2032, due to benefits like full control, visibility, and authentication security controls over data. On-premises NLP solutions provide organizations with greater customization options and control over the software and hardware infrastructure. This allows businesses to tailor the NLP system to their specific needs, integrate it with existing systems, and have more flexibility in managing updates and configurations. Rising preference to scale up to meet the company demands and improve efficiency with built-in redundancy will also boost the segment expansion.
North America is expected to emerge as a lucrative revenue hub for the natural language processing market by 2032, characterized by the fast innovations and improvements in AI. Several developments in top firms, including Google, Microsoft, IBM, and Meta NLP Technology have seen improvements in accuracy, speed, and even techniques that computer scientists use to tackle challenging problems. The rising attention of governments and regulatory bodies on AI technologies will further drive the deployment of NLP to improve customer interactions, automate processes, and gain insights from unstructured data.
Natural Language Processing Market Share
Some of the major NLP market players include
- IBM
- Microsoft
- AWS
- Meta
- 3M
- Apple
- SAS
- Oracle
- Health Fidelity
To get a competitive edge, these firms are concentrating on growing their clientele through strategic measures, such as mergers & acquisitions, collaborations, and joint ventures along with development of new products and technologies.
Natural Language Processing Industry News
- In July 2022, SAP SE acquired Askdata, a platform for data engagement & collaboration to help make intelligent judgements for clients using AI-driven natural language searches, which is the core objective of the acquisition.
- In June 2023, Apple disclosed that it was offering developers a new set of tools to embed NLP into their apps.
What Information does this report contain?
Historical data coverage 2018 to 2023; Growth Projections 2024 to 2032.
Expert analysis industry, governing, innovation and technological trends; factors impacting development; drawbacks, SWOT.
6-7 year performance forecasts major segments covering applications, top products and geographies.
Competitive landscape reporting market leaders and important players, competencies and capacities of these companies in terms of production as well as sustainability and prospects.
Table of Content
Report Content
Chapter 1 Methodology & Scope
1.1 Market definition
1.2 Base estimates & forecast
1.3 Forecast calculations
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Executive Summary
2.1 Natural language processing 360º synopsis, 2018 – 2032
2.2 Business trends
2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Type trends
2.5 Technique trends
2.6 Deployment trends
2.7 Application trends
2.8 Industry trends
Chapter 3 Natural Language Processing Insights
3.1 Impact of COVID-19 outbreak
3.2 Ecosystem analysis
3.3 Technology & innovation landscape
3.4 Regulatory landscape
3.5 Patent analysis
3.6 Key initiatives & news
3.7 Industry impact forces
3.7.1 Growth drivers
3.7.2 Industry pitfalls and challenges
3.8 Growth potential analysis
3.9 Porter's analysis
3.10 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of key market players, 2022
4.3.1 Company A
4.3.2 Company B
4.3.3 Company C
4.3.4 Company D
4.3.5 Company E
4.3.6 Company F
4.3.7 Company G
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
Chapter 5 Natural Language Processing Market, By Type
5.1 Key trends, by type
5.2 Rules-based system
5.2.1 Market estimates and forecast, 2018 – 2032
5.3 Machine learning-based system
5.3.1 Market estimates and forecast, 2018 – 2032
Chapter 6 Natural Language Processing Market, By Technique
6.1 Key trends, By technique
6.2 Syntactic analysis
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Semantic analysis
6.3.1 Market estimates and forecast, 2018-2032
Chapter 7 Natural Language Processing Market, By Deployment
7.1 Key trends, By deployment
7.2 On-premises
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 Cloud
7.3.1 Market estimates and forecast, 2018-2032
Chapter 8 Natural Language Processing Market, By Application
8.1 Key trends, by application
8.2 Sentiment analysis
8.2.1 Market estimates and forecast, 2018 – 2032
8.3 Text classification
8.3.1 Market estimates and forecast, 2018 – 2032
8.4 Residential
8.4.1 Market estimates and forecast, 2018 – 2032
Chapter 9 Natural Language Processing Market, By Industry
9.1 Key trends, by Industry
9.2 Healthcare
9.2.1 Market estimates and forecast, 2018 – 2032
9.3 Retail
9.3.1 Market estimates and forecast, 2018 – 2032
9.4 Telecommunication
9.4.1 Market estimates and forecast, 2018 – 2032
9.5 BFSI
9.5.1 Market estimates and forecast, 2018 – 2032
9.6 Automotive and Transportation
9.6.1 Market estimates and forecast, 2018 – 2032
9.7 Advertising and Media
9.7.1 Market estimates and forecast, 2018 – 2032
9.8 Manufacturing
9.8.1 Market estimates and forecast, 2018 – 2032
Chapter 10 Natural Language Processing Market, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 Market estimates and forecast, 2018 – 2032
10.2.2 Market estimates and forecast, by type, 2018 – 2032
10.2.3 Market estimates and forecast, by technique, 2018 – 2032
10.2.4 Market estimates and forecast, by deployment, 2018 – 2032
10.2.5 Market estimates and forecast, by application, 2018 – 2032
10.2.6 Market estimates and forecast, by Industry, 2018 – 2032
10.2.7 U.S.
10.2.7.1 Market estimates and forecast, 2018 – 2032
10.2.7.2 Market estimates and forecast, by type, 2018 – 2032
10.2.7.3 Market estimates and forecast, by technique, 2018 – 2032
10.2.7.4 Market estimates and forecast, by deployment, 2018 – 2032
10.2.7.5 Market estimates and forecast, by application, 2018 – 2032
10.2.7.6 Market estimates and forecast, by Industry, 2018 – 2032
10.2.8 Canada
10.2.8.1 Market estimates and forecast, 2018 – 2032
10.2.8.2 Market estimates and forecast, by type, 2018 – 2032
10.2.8.3 Market estimates and forecast, by technique, 2018 – 2032
10.2.8.4 Market estimates and forecast, by deployment, 2018 – 2032
10.2.8.5 Market estimates and forecast, by application, 2018 – 2032
10.2.8.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3 Europe
10.3.1 Market estimates and forecast, 2018 – 2032
10.3.2 Market estimates and forecast, by type, 2018 – 2032
10.3.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.5 Market estimates and forecast, by application, 2018 – 2032
10.3.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3.7 UK
10.3.7.1 Market estimates and forecast, 2018 – 2032
10.3.7.2 Market estimates and forecast, by type, 2018 – 2032
10.3.7.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.7.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.7.5 Market estimates and forecast, by application, 2018 – 2032
10.3.7.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3.8 Germany
10.3.8.1 Market estimates and forecast, 2018 – 2032
10.3.8.2 Market estimates and forecast, by type, 2018 – 2032
10.3.8.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.8.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.8.5 Market estimates and forecast, by application, 2018 – 2032
10.3.8.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3.9 France
10.3.9.1 Market estimates and forecast, 2018 – 2032
10.3.9.2 Market estimates and forecast, by type, 2018 – 2032
10.3.9.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.9.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.9.5 Market estimates and forecast, by application, 2018 – 2032
10.3.9.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3.10 Italy
10.3.10.1 Market estimates and forecast, 2018 – 2032
10.3.10.2 Market estimates and forecast, by type, 2018 – 2032
10.3.10.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.10.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.10.5 Market estimates and forecast, by application, 2018 – 2032
10.3.10.6 Market estimates and forecast, by Industry, 2018 – 2032
10.3.11 Russia
10.3.11.1 Market estimates and forecast, 2018 – 2032
10.3.11.2 Market estimates and forecast, by type, 2018 – 2032
10.3.11.3 Market estimates and forecast, by technique, 2018 – 2032
10.3.11.4 Market estimates and forecast, by deployment, 2018 – 2032
10.3.11.5 Market estimates and forecast, by application, 2018 – 2032
10.3.11.6 Market estimates and forecast, by Industry, 2018 – 2032
10.4 Asia Pacific
10.4.1 Market estimates and forecast, 2018 – 2032
10.4.2 Market estimates and forecast, by type, 2018 – 2032
10.4.3 Market estimates and forecast, by technique, 2018 – 2032
10.4.4 Market estimates and forecast, by deployment, 2018 – 2032
10.4.5 Market estimates and forecast, by application, 2018 – 2032
10.4.6 Market estimates and forecast, by Industry, 2018 – 2032
10.4.7 China
10.4.7.1 Market estimates and forecast, 2018 – 2032
10.4.7.2 Market estimates and forecast, by type, 2018 – 2032
10.4.7.3 Market estimates and forecast, by technique, 2018 – 2032
10.4.7.4 Market estimates and forecast, by deployment, 2018 – 2032
10.4.7.5 Market estimates and forecast, by application, 2018 – 2032
10.4.7.6 Market estimates and forecast, by Industry, 2018 – 2032
10.4.8 India
10.4.8.1 Market estimates and forecast, 2018 – 2032
10.4.8.2 Market estimates and forecast, by type, 2018 – 2032
10.4.8.3 Market estimates and forecast, by technique, 2018 – 2032
10.4.8.4 Market estimates and forecast, by deployment, 2018 – 2032
10.4.8.5 Market estimates and forecast, by application, 2018 – 2032
10.4.8.6 Market estimates and forecast, by Industry, 2018 – 2032
10.4.9 Japan
10.4.9.1 Market estimates and forecast, 2018 – 2032
10.4.9.2 Market estimates and forecast, by type, 2018 – 2032
10.4.9.3 Market estimates and forecast, by technique, 2018 – 2032
10.4.9.4 Market estimates and forecast, by deployment, 2018 – 2032
10.4.9.5 Market estimates and forecast, by application, 2018 – 2032
10.4.9.6 Market estimates and forecast, by Industry, 2018 – 2032
10.4.10 South Korea
10.4.10.1 Market estimates and forecast, 2018 – 2032
10.4.10.2 Market estimates and forecast, by type, 2018 – 2032
10.4.10.3 Market estimates and forecast, by technique, 2018 – 2032
10.4.10.4 Market estimates and forecast, by deployment, 2018 – 2032
10.4.10.5 Market estimates and forecast, by application, 2018 – 2032
10.4.10.6 Market estimates and forecast, by Industry, 2018 – 2032
10.5 Latin America
10.5.1 Market estimates and forecast, 2018 – 2032
10.5.2 Market estimates and forecast, by type, 2018 – 2032
10.5.3 Market estimates and forecast, by technique, 2018 – 2032
10.5.4 Market estimates and forecast, by deployment, 2018 – 2032
10.5.5 Market estimates and forecast, by application, 2018 – 2032
10.5.6 Market estimates and forecast, by Industry, 2018 – 2032
10.5.7 Brazil
10.5.7.1 Market estimates and forecast, 2018 – 2032
10.5.7.2 Market estimates and forecast, by type, 2018 – 2032
10.5.7.3 Market estimates and forecast, by technique, 2018 – 2032
10.5.7.4 Market estimates and forecast, by deployment, 2018 – 2032
10.5.7.5 Market estimates and forecast, by application, 2018 – 2032
10.5.7.6 Market estimates and forecast, by Industry, 2018 – 2032
10.5.8 Mexico
10.5.8.1 Market estimates and forecast, 2018 – 2032
10.5.8.2 Market estimates and forecast, by type, 2018 – 2032
10.5.8.3 Market estimates and forecast, by technique, 2018 – 2032
10.5.8.4 Market estimates and forecast, by deployment, 2018 – 2032
10.5.8.5 Market estimates and forecast, by application, 2018 – 2032
10.5.8.6 Market estimates and forecast, by Industry, 2018 – 2032
10.6 MEA
10.6.1 Market estimates and forecast, 2018 – 2032
10.6.2 Market estimates and forecast, by type, 2018 – 2032
10.6.3 Market estimates and forecast, by technique, 2018 – 2032
10.6.4 Market estimates and forecast, by deployment, 2018 – 2032
10.6.5 Market estimates and forecast, by application, 2018 – 2032
10.6.6 Market estimates and forecast, by Industry, 2018 – 2032
10.6.7 UAE
10.6.7.1 Market estimates and forecast, 2018 – 2032
10.6.7.2 Market estimates and forecast, by type, 2018 – 2032
10.6.7.3 Market estimates and forecast, by technique, 2018 – 2032
10.6.7.4 Market estimates and forecast, by deployment, 2018 – 2032
10.6.7.5 Market estimates and forecast, by application, 2018 – 2032
10.6.7.6 Market estimates and forecast, by Industry, 2018 – 2032
10.6.8 Saudi Arabia
10.6.8.1 Market estimates and forecast, 2018 – 2032
10.6.8.2 Market estimates and forecast, by type, 2018 – 2032
10.6.8.3 Market estimates and forecast, by technique, 2018 – 2032
10.6.8.4 Market estimates and forecast, by deployment, 2018 – 2032
10.6.8.5 Market estimates and forecast, by application, 2018 – 2032
10.6.8.6 Market estimates and forecast, by Industry, 2018 – 2032
10.6.9 South Africa
10.6.9.1 Market estimates and forecast, 2018 – 2032
10.6.9.2 Market estimates and forecast, by type, 2018 – 2032
10.6.9.3 Market estimates and forecast, by technique, 2018 – 2032
10.6.9.4 Market estimates and forecast, by deployment, 2018 – 2032
10.6.9.5 Market estimates and forecast, by application, 2018 – 2032
10.6.9.6 Market estimates and forecast, by Industry, 2018 – 2032
Chapter 11 Company Profiles
11.1 IBM
11.1.1 Business overview
11.1.2 Financial data
11.1.3 Product landscape
11.1.4 Strategic outlook
11.1.5 SWOT analysis
11.2 Microsoft
11.2.1 Business overview
11.2.2 Financial data
11.2.3 Product landscape
11.2.4 Strategic outlook
11.2.5 SWOT analysis
11.3 Google
11.3.1 Business overview
11.3.2 Financial data
11.3.3 Product landscape
11.3.4 Strategic outlook
11.3.5 SWOT analysis
11.4 AWS
11.4.1 Business overview
11.4.2 Financial data
11.4.3 Product landscape
11.4.4 Strategic outlook
11.4.5 SWOT analysis
11.5 Meta
11.5.1 Business overview
11.5.2 Financial data
11.5.3 Product landscape
11.5.4 Strategic outlook
11.5.5 SWOT analysis
11.6 3M
11.6.1 Business overview
11.6.2 Financial data
11.6.3 Product landscape
11.6.4 Strategic outlook
11.6.5 SWOT analysis
11.7 Apple
11.7.1 Business overview
11.7.2 Financial data
11.7.3 Product landscape
11.7.4 Strategic outlook
11.7.5 SWOT analysis
11.8 SAS
11.8.1 Business overview
11.8.2 Financial data
11.8.3 Product landscape
11.8.4 Strategic outlook
11.8.5 SWOT analysis
11.9 Oracle
11.9.1 Business overview
11.9.2 Financial data
11.9.3 Product landscape
11.9.4 Strategic outlook
11.9.5 SWOT analysis
11.10 Health Fidelity
11.10.1 Business overview
11.10.2 Financial data
11.10.3 Product landscape
11.10.4 Strategic outlook
11.10.5 SWOT analysis