High Performance Glass Fiber Market Trends and ForecastThe global high performance glass fiber market is expected to reach an estimated $260.2 million by 2027 with a CAGR of 6.5% from 2021 to 2027
- Bias Rating
-62% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-62% Medium Liberal
- Politician Portrayal
N/A
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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
- Liberal
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
65% : The future of the high performance glass fiber market looks attractive with opportunities in aerospace & defense, pressure vessel, electrical and electronics, sporting goods, civil engineering, automotive, wind energy, and marine industry.65% : Wind Energy*
53% : Trends, opportunities and forecast in high performance glass fiber market to 2027 by end use (aerospace & defense, pressure vessel, electrical and electronics, sporting goods, civil engineering, automotive, wind energy, and marine, and others), product type (S-glass, R-glass, T-glass and others), product form (roving, chopped and yarn), and region (North America, Europe, Asia Pacific, and the Rest of the World).
53% : What are some of the most promising potential, growth opportunities for the high performance glass fiber market by end use (aerospace and defense, wind energy, automotive, pressure vessel, construction, marine, electrical and electronics, sporting goods and others), product type (S-glass, R-glass and T-glass and others), and product form (roving, chopped and yarn), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
*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.