Natural Language Processing (NLP): Global Market Analysis and Insights

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.

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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