Global AI Sentiment Analysis Tool Market Growth (Status and Outlook) 2025-2031
Description
According to this study, the global AI Sentiment Analysis Tool market size will reach US$ 4358 million by 2031.
Artificial intelligence sentiment analysis tools are intelligent systems that rely on core technologies such as natural language processing (NLP), deep learning, and machine learning to automatically identify, classify, and quantify sentiment tendencies (such as positive, negative, and neutral) or sentiment dimensions (such as pleasure, arousal, and dominance) contained in multimodal data such as text, voice, and video. Its core mechanisms include: sentiment feature extraction based on lexical-syntactic analysis (such as sentiment dictionary matching and grammatical dependency parsing), contextual semantic modeling based on deep neural networks, and sentiment representation learning based on multimodal fusion (such as joint analysis of facial expressions, voice intonation, and text semantics). By building a large-scale annotated data set for model training, the tool can realize sentiment polarity judgment for scenarios such as user comments, social media content, and customer service conversations, and output sentiment scores or labels to support decision-making.
The use of AI sentiment analysis tools is becoming more and more popular among enterprises because it can help them monitor customer feedback, identify areas for improvement, and make wise decisions. Technically, deep learning and transfer learning are constantly merging, and multimodal sentiment analysis is becoming increasingly widely used, combining multi-dimensional data such as text, voice, and images to improve the accuracy of sentiment recognition. Dynamically, tools are developing in the direction of personalization and adaptation, and can adjust analysis strategies according to different users and scenarios. At the same time, they are actively expanding cross-domain applications and landing in multiple industries such as finance, e-commerce, and medical care. In addition, the industry is also paying more and more attention to ethical and compliance issues, and striving to balance the relationship between technological innovation and data privacy protection and algorithm fairness, so as to promote the healthy and sustainable development of sentiment analysis tools.
LPI (LP Information)' newest research report, the “AI Sentiment Analysis Tool Industry Forecast” looks at past sales and reviews total world AI Sentiment Analysis Tool sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Sentiment Analysis Tool sales for 2025 through 2031. With AI Sentiment Analysis Tool sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Sentiment Analysis Tool industry.
This Insight Report provides a comprehensive analysis of the global AI Sentiment Analysis Tool landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Sentiment Analysis Tool portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Sentiment Analysis Tool market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Sentiment Analysis Tool and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Sentiment Analysis Tool.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Sentiment Analysis Tool market by product type, application, key players and key regions and countries.
Segmentation by Type:
Fine-grained Sentiment Analysis
Aspect-based Analysis
Intent-based Analysis
Segmentation by Application:
Market Research
Customer Service
Social Media
Mental Health Monitoring
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Brand24
Amazon Web Services
Google Cloud
Lexalytics
Baidu Smart Cloud
iFlytek
NelSenso.Net
Social Searcher
VERN AI
Beijing Douyin Information Service
Zhipu Huazhang Technology
Deep Search Artificial Intelligence Basic Technology Research
OpenAI
Please note: The report will take approximately 2 business days to prepare and deliver.
Artificial intelligence sentiment analysis tools are intelligent systems that rely on core technologies such as natural language processing (NLP), deep learning, and machine learning to automatically identify, classify, and quantify sentiment tendencies (such as positive, negative, and neutral) or sentiment dimensions (such as pleasure, arousal, and dominance) contained in multimodal data such as text, voice, and video. Its core mechanisms include: sentiment feature extraction based on lexical-syntactic analysis (such as sentiment dictionary matching and grammatical dependency parsing), contextual semantic modeling based on deep neural networks, and sentiment representation learning based on multimodal fusion (such as joint analysis of facial expressions, voice intonation, and text semantics). By building a large-scale annotated data set for model training, the tool can realize sentiment polarity judgment for scenarios such as user comments, social media content, and customer service conversations, and output sentiment scores or labels to support decision-making.
The use of AI sentiment analysis tools is becoming more and more popular among enterprises because it can help them monitor customer feedback, identify areas for improvement, and make wise decisions. Technically, deep learning and transfer learning are constantly merging, and multimodal sentiment analysis is becoming increasingly widely used, combining multi-dimensional data such as text, voice, and images to improve the accuracy of sentiment recognition. Dynamically, tools are developing in the direction of personalization and adaptation, and can adjust analysis strategies according to different users and scenarios. At the same time, they are actively expanding cross-domain applications and landing in multiple industries such as finance, e-commerce, and medical care. In addition, the industry is also paying more and more attention to ethical and compliance issues, and striving to balance the relationship between technological innovation and data privacy protection and algorithm fairness, so as to promote the healthy and sustainable development of sentiment analysis tools.
LPI (LP Information)' newest research report, the “AI Sentiment Analysis Tool Industry Forecast” looks at past sales and reviews total world AI Sentiment Analysis Tool sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Sentiment Analysis Tool sales for 2025 through 2031. With AI Sentiment Analysis Tool sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Sentiment Analysis Tool industry.
This Insight Report provides a comprehensive analysis of the global AI Sentiment Analysis Tool landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Sentiment Analysis Tool portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Sentiment Analysis Tool market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Sentiment Analysis Tool and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Sentiment Analysis Tool.
This report presents a comprehensive overview, market shares, and growth opportunities of AI Sentiment Analysis Tool market by product type, application, key players and key regions and countries.
Segmentation by Type:
Fine-grained Sentiment Analysis
Aspect-based Analysis
Intent-based Analysis
Segmentation by Application:
Market Research
Customer Service
Social Media
Mental Health Monitoring
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Brand24
Amazon Web Services
Google Cloud
Lexalytics
Baidu Smart Cloud
iFlytek
NelSenso.Net
Social Searcher
VERN AI
Beijing Douyin Information Service
Zhipu Huazhang Technology
Deep Search Artificial Intelligence Basic Technology Research
OpenAI
Please note: The report will take approximately 2 business days to prepare and deliver.
Table of Contents
105 Pages
- *This is a tentative TOC and the final deliverable is subject to change.*
- 1 Scope of the Report
- 2 Executive Summary
- 3 AI Sentiment Analysis Tool Market Size by Player
- 4 AI Sentiment Analysis Tool by Region
- 5 Americas
- 6 APAC
- 7 Europe
- 8 Middle East & Africa
- 9 Market Drivers, Challenges and Trends
- 10 Global AI Sentiment Analysis Tool Market Forecast
- 11 Key Players Analysis
- 12 Research Findings and Conclusion
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