
Natural Language Processing (NLP): Global Market Analysis and Insights
Description
Natural Language Processing (NLP): Global Market Analysis and Insights
Report Scope:
In this report, the global NLP market has been segmented based on organization size, component, provider, type, industry and geography. The report provides an overview of the global natural processing market and analyses market trends. Using 2022 as the base year, this report provides estimated market data for the forecast period from 2023 to 2028. Revenue forecasts for this period are segmented based on component, deployment, organization size, type, application, industry vertical and geography. Market values have been estimated based on the total revenue of NLP solution providers.
The report covers the NLP market with regard to the user base across different regions. It also highlights major trends and challenges that affect the market and the vendor landscape. The report estimates the global market for NLP in 2022 and provides projections for the expected market size through 2028. The report explains the value chain and current trends in the global markets for NLP. It concludes with detailed profiles of the major market players.
Report Includes:
52 tables and 24 additional tables
An overview and up-to-date analysis of the global market for the natural language processing (NLP) technologies
Analyses of the global market trends, with historic market revenue data (sales figures) for 2022, estimates for 2023, forecasts for 2024, and projections of compound annual growth rates (CAGRs) through 2028
Highlights of emerging technology trends, opportunities and gaps estimating current size and anticipated growth of the overall NLP market and its related market segments, and identification of the major regions and countries involved in market developments
Estimation of the actual market size and revenue forecast for the global NLP market in USD million values, and corresponding market share analysis based on the component, deployment type, organization size, technology type, application, industry vertical, and region
Updated information on key market drivers and opportunities, industry shifts and regulations, and other region and industry specific macroeconomic variables that will influence this market in the coming years (2023-2028)
Review of patents in the NLP market along with the global NLP based patent applications and patents granted for a brief period
A look at the major growth strategies adopted by leading players operating in the market for NLP technologies, recent developments, strategic alliances, and competitive benchmarking
Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
Descriptive company profiles of the leading global players of the industry, including 3M, Apple Inc., IBM Corp., Meta Platforms Inc. and SAS Institute Inc.
Companies Mentioned
3M
ALPHABET INC. (GOOGLE INC.)
AMAZON INC.
APPLE INC.
HEWLETT PACKARD ENTERPRISE
IBM CORP.
Inbenta Technologies Inc.
INTEL CORP.
IQVIA
JUST AI LTD.
META PLATFORMS INC.
MICROSOFT CORP.
NARRATIVE SCIENCE (TABLEAU SOFTWARE)
NetBase Quid
OpenAI LP
ORACLE CORP.
SAP SE
SAS INSTITUTE INC.
SOUNDHOUND AI INC.
VERINT SYSTEMS INC.
Natural Language Processing (NLP): Global Market Analysis and Insights
Summary:
The importance of NLP techniques, a subset of artificial intelligence, is rising as its sub-technologies develop. Language is the main tool for interaction and communication. Communication is vital for the efficient completion of processes, and language is necessary for communication. NLP is a quickly developing technology due to the vast amount of Big Data, customized algorithms and powerful tools at disposal. NLP can be tackled using various techniques, including rule-based, algorithmic, statistical and machine learning approaches. This is yet another factor contributing to the rising use of NLP across numerous industries. The use of NLP is expanding the reach of other disciplines. Domains integrating NLP include business, recruitment, finance, healthcare and sports trading.
The global market for NLP was estimated to be valued at $REDACTED billion in 2022. It is projected the NLP market will grow at a compound annual growth rate (CAGR) of REDACTED%, and it is forecast to reach $REDACTED billion by 2028. Increasing demand for intelligent virtual assistants such as Siri, Alexa and Google Assistant, a growing volume of unstructured data, advancement in machine learning and deep learning and increasing use of application areas are some of the key factors driving the growth of the current NLP market. Data piracy and security concerns, a lack of skilled professionals, language and cultural barriers, and ethical and bias concerns, however, are hindering the market growth. Apart from drivers and restraints, increasing adoption in healthcare, customer experience enhancement, improving sentiment analysis and social listening, multilingual and cross-cultural applications, compliance and regulatory will create huge opportunities for vendors in the market.
In this report, the NLP market has been segmented based on component, deployment, organization size, type, application, industry vertical and geography. Based on component, the NLP market has been categorized into solution and services. Solution currently dominates the market, and the segment was valued at $REDACTED billion in 2022. It is estimated the NLP market for solution will grow at a CAGR of REDACTED%, and it is forecast to reach $REDACTED billion by 2028.
Based on deployment, the NLP market has been segmented into cloud and on-premises. Based on organization size, the NLP market has been segmented into large enterprises and SMEs. Based on type, the NLP market has been segmented into rule-based, statistical and hybrid. Based on application, the NLP market has been segmented into sentiment analysis, social media monitoring, automatic summarization, content management and virtual assistants/chatbots. Based on industry vertical, the NLP market has been segmented into BFSI, education, healthcare, retail and e-commerce, IT and telecommunication, media and entertainment, and others.
By geography, the NLP market has been segmented into North America, Europe, Asia-Pacific and Rest of World (RoW). North America is currently the most dominant global NLP market. In 2022, total revenue from the North America NLP market reached $REDACTED billion, which is REDACTED% of the global market. The presence of leading global companies, robust technology infrastructure, favorable political and economic environment, and high adoption of advanced technologies (e.g., AI, IoT, cloud) are among the key factors driving the North American market. Asia-Pacific is currently the fastest-growing market for NLP. The Asia-Pacific NLP market was valued at $REDACTED billion in 2022. It is projected to grow at a CAGR of REDACTED%, and it is forecast to reach $REDACTED billion by 2028.
Table of Contents
178 Pages
- Chapter 1 Introduction
- Overview
- Study Goals and Objectives
- Scope of Report
- Reasons for Doing the Study
- Intended Audiences
- Information Sources
- Methodology
- Geographic Breakdown
- Analyst's Credentials
- BCC Custom Research
- Related BCC Research Reports
- Chapter 2 Summary and Highlights
- Market Summary
- Chapter 3 Market Overview
- Overview
- NLP Tools
- Natural Language Toolkit
- SpaCy
- Word2Vec
- Amazon Comprehend
- GenSim
- Core NLP
- Google Cloud Natural Language
- GPT
- CogCompNLP
- TextBlob
- Evolution of NLP
- Early Developments
- Statistical Methods and Machine Learning
- Deep Learning Revolution
- Transformer Models and Language Understanding
- Applications and Impact
- Current Evolution (2019-2022)
- NLP Infrastructure
- Hardware
- Software Frameworks
- Data Resources
- Computational Resources
- Pretrained Models and Model Libraries:
- Annotation Tools:
- Value Chain Analysis
- Impact of COVID-19 on the Market for NLP
- Chapter 4 Market Dynamics
- Overview
- Market Drivers
- Rising Adoption of NLP Among Businesses to Enhance Customer Service
- Growing Interest and Investments in AI Technologies
- Growing Volume of Unstructured Data through NLP
- Regulatory Compliance and Risk Management
- Market Restraints
- Limited Availability of Multiple Languages
- Growing Concern Regarding Data Privacy
- Market Opportunities
- Surge in the Developments of Big Data Technology for Actionable Business Intelligence
- Increase in Investment Across Healthcare
- Chapter 5 Market Breakdown by Segment
- Overview
- Solution
- Text Classification
- Text Extraction
- Text Summarization
- Predictive Text
- Smart Assistants
- Search Engine Results
- Services
- Technologies Advisory and Consulting Services
- Development and Integration Services
- Support and Maintenance Services
- Chapter 6 Market Breakdown by Deployment
- Overview
- Cloud
- Cloud-hosted NLP Services
- On-premises
- Chapter 7 Market Breakdown by Organization Size
- Overview
- Large Enterprises
- Small and Medium Enterprises
- Chapter 8 Market Breakdown by Type
- Overview
- Rule-Based NLP
- Statistical NLP
- Statistical Language Modeling Applications
- Drawbacks of Statistical NLP
- Hybrid NLP
- Chapter 9 Market Breakdown by Application
- Overview
- Sentiment Analysis
- Sentiment Analysis Types
- Social Media Monitoring
- Automatic Summarization
- Text Summarization Types
- Best API's for Text Summarization
- Content Management
- Virtual Assistants/Chatbots
- Three Pillars of an NLP-Based Chatbot
- Others
- Chapter 10 Market Breakdown by Industry Vertical
- Overview
- BFSI
- Use Cases of NLP in BFSI
- Education
- Use Cases of NLP in Education
- Healthcare
- Use Cases of NLP in Healthcare
- NLP Applications in Healthcare
- Retail and E-commerce
- Use Cases of NLP in the Retail Industry
- Information Technology and Telecommunication
- Use Cases of NLP in the Telecommunication Industry
- Media and Entertainment
- Use Cases of NLG in Media and Entertainment
- Others
- Chapter 11 Market Breakdown by Region
- Overview
- North America
- U.S.
- Canada
- Mexico
- Europe
- U.K.
- Germany
- France
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
- Rest of the World
- Chapter 12 Patent Analysis
- Global NLP Patents by Applicant Company
- Chapter 13 Emerging Technologies
- Overview
- Key Market Trends
- Network and Computing Technology
- Internet of Things
- Artificial Intelligence
- Machine Learning
- Design, Deployment and Content Production Level
- Cloud Computing
- Data Lake
- Human/Simulation Interactive Level
- Virtual Assistants
- Sentiment Analysis
- Multilingual Language Models
- Named Entity Recognition
- Language Transformers
- Transfer Learning
- Text Summarization
- Semantic Search
- Reinforcement Learning
- Chapter 14 Merger and Acquisition Outlook
- Merger and Acquisition Analysis
- Chapter 15 Competitive Landscape
- Top Companies
- Strategic Analysis
- Key Product Launches and Developments
- Key Collaborations and Partnerships
- Key Acquisitions and Expansions
- Comparison of the Platforms Used by Major Cloud Vendors
- Chapter 16 Company Profiles
- 3M
- ALPHABET INC. (GOOGLE INC.)
- AMAZON INC.
- APPLE INC.
- HEWLETT PACKARD ENTERPRISE
- IBM CORP.
- INBENTA TECHNOLOGIES INC.
- INTEL CORP.
- IQVIA
- JUST AI LTD.
- META PLATFORMS INC.
- MICROSOFT CORP.
- NARRATIVE SCIENCE (TABLEAU SOFTWARE)
- NETBASE QUID
- OPENAI LP
- ORACLE CORP.
- SAP SE
- SAS INSTITUTE INC.
- SOUNDHOUND AI INC.
- VERINT SYSTEMS INC.
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