
The global surface treatment chemicals market is projected to reach $11,889.2 million by 2031 from $5,623.3 million in 2021, growing at a CAGR of 8.0% during the forecast period 2022-2031
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
20% Somewhat Right
- Politician Portrayal
-1% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
N/A
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
49% : However, the rigorous environmental standards regarding the emission of hazardous compounds are anticipated to hinder market growth in the upcoming future.49% : Furthermore, due to high demand from the end-user industries and rising public concern, government regulations related to hazardous chromium component emissions are expected to increase the demand for eco-sustainable chemicals, thereby bolstering the global surface treatment chemicals market.
42% : The market is expected to face some limitations as well due to the following challenges: * Rigorous Environmental Standards Regarding the Emission of Hazardous Chromium Components * Price Volatility of Surface Treatment Chemicals How can this report add value to an organization?
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.