Europe Flat Glass Market Summary, Competitive Analysis and Forecast to 2027
Summary
Flat Glass in Europe industry profile provides top-line qualitative and quantitative summary information including: market share, market size (value and volume 2017-22, and forecast to 2027). The profile also contains descriptions of the leading players including key financial metrics and analysis of competitive pressures within the market.
Key Highlights
- Flat glass is typically used for windows and other applications, including glass tables and doors. It is also known as plate glass and sheet glass. By end-use, the market is segmented into building & construction, automotive, and others. The scope of others segment includes electronics, solar PV, and furniture.
- The European flat glass market had total revenues of $18.2 billion in 2022, representing a compound annual growth rate (CAGR) of -0.8% between 2017 and 2022.
- Market consumption volumes declined with a CAGR of -0.6% between 2017 and 2022, to reach a total of 10.3 million Tons in 2022.
- Europe has a share of 16.6% in the global flat glass market. Flat glass is becoming more popular as a result of expanding infrastructure development and building activity.
- Save time carrying out entry-level research by identifying the size, growth, major segments, and leading players in the flat glass market in Europe
- Use the Five Forces analysis to determine the competitive intensity and therefore attractiveness of the flat glass market in Europe
- Leading company profiles reveal details of key flat glass market players’ global operations and financial performance
- Add weight to presentations and pitches by understanding the future growth prospects of the Europe flat glass market with five year forecasts by both value and volume
- What was the size of the Europe flat glass market by value in 2022?
- What will be the size of the Europe flat glass market in 2027?
- What factors are affecting the strength of competition in the Europe flat glass market?
- How has the market performed over the last five years?
- Who are the top competitors in Europe's flat glass market?
- Table Of Contents
- List of Tables
- List of Figures
- Executive Summary
- Players
- Construction Challenges
- The Impact of AI on Construction
- How AI helps resolve the challenge of ESG
- How AI helps resolve the challenge of safety
- How AI helps resolve the challenge of cost control
- How AI helps resolve the challenge of data storage and management
- How AI helps resolve the challenge of supply chain management
- How AI helps resolve the challenge of labor shortages
- Case Studies
- SCS JV used ALICE Technologies to find alternative ways to build to trim build times
- Willmott Dixon uses Oculo to document and track project progress accurately
- Staircraft increases its productivity by 100% with an AI floor design solution
- Togal.AI integrated ChatGPT into its platform
- Honeywell developed a platform to monitor energy and carbon usage with AI
- AI Timeline
- Market Size and Growth Forecasts
- AI market size and growth forecasts
- Signals
- Mergers and acquisitions
- Patent trends
- Patent location analysis
- Company filings trends
- Hiring trends
- The US construction market
- The Indian construction market
- The European construction market
- AI Value Chain
- Hardware
- Semiconductors
- Cameras
- Sensors and lasers
- Servers
- Storage devices
- Networking equipment
- Edge equipment
- Data management
- Data governance and security
- Data storage
- Data processing
- Data aggregation
- Data integration
- Foundational AI
- Data science
- Machine learning
- 3D modeling
- Knowledge representation and reasoning
- Visualization engines
- Advanced AI capabilities
- Human-AI interaction
- Decision-making
- Motion
- Creation (also known as generative AI)
- Sentience
- Delivery
- Hardware appliance
- Licensed software
- Artificial intelligence as a service
- Companies
- Leading AI adopters in construction
- Leading AI vendors
- Specialist AI vendors in construction
- Sector Scorecard
- Construction sector scorecard
- Who’s who
- Thematic screen
- Valuation screen
- Risk screen
- Glossary
- Further Reading
- GlobalData reports
- Our Thematic Research Methodology
- About GlobalData
- Contact Us
- List of Tables
- Table 1: key challenges facing the construction sector.
- Table 2: Mergers and acquisitions
- Table 3: Leading AI adopters in construction
- Table 4: Leading AI vendors
- Table 5: Specialist AI vendors in construction
- Table 6: Glossary
- Table 7: GlobalData reports
- List of Figures
- Figure 1: Key players in AI
- Figure 2: Trend analysis of leading AI influencers in the construction industry, May 2022- May 2023
- Figure 3: At least one advanced AI capability will impact every stage of the construction value chain
- Figure 4: 3D models uploaded to ALICE are made into a schedule
- Figure 5: Oculo is attached to helmets to document the project
- Figure 6: Brainpool.ai developed a platform for structural timber design
- Figure 7: TogalGPT can be accessed on site using a mobile device
- Figure 8: SAM, a semi-automatic mason, is a bricklaying co-bot
- Figure 9: Carbon and energy KPIs are shown on the dashboard
- Figure 10: The AI story
- Figure 11: The AI industry will grow at a CAGR of 35.2% between 2022 and 2030
- Figure 12: AI patent activity has grown steadily since 2013 in construction, peaking in 2021 at 1,014 patents publications
- Figure 13: Between June 2021 - May 2023, 682 AI-related construction patents were published in China
- Figure 14: Mentions of AI by construction companies have been increasing, peaking in 2021 at 7,586
- Figure 15: Mentions of AI appear insignificant when compared to themes like geopolitics
- Figure 16: AI job postings increased by 53% between May 2021 and May 2023
- Figure 17: Companies in the US and India are the major hirers for AI in construction jobs
- Figure 18: The AI value chain - An overview
- Figure 19: The AI value chain - Hardware - semiconductors
- Figure 20: The AI value chain - Hardware - cameras
- Figure 21: The AI value chain - Hardware – sensors and lasers
- Figure 22: The AI value chain - Hardware – servers
- Figure 23: The AI value chain - Hardware – storage devices
- Figure 24: The AI value chain -- Hardware – networking equipment
- Figure 25: The AI value chain - Hardware – edge equipment
- Figure 26: The AI value chain - Data management
- Figure 27: The AI value chain - Foundational AI – data science
- Figure 28: The AI value chain - Foundational AI – machine learning
- Figure 29: The AI value chain - Foundational AI – 3D modeling
- Figure 30: The AI value chain - Foundational AI – knowledge representation and reasoning
- Figure 31: The AI value chain - Foundational AI – visualization engines
- Figure 32: The AI value chain - Advanced AI capabilities– human-AI interaction
- Figure 33: The AI value chain - Advanced AI capabilities– decision-making
- Figure 34: The AI value chain - Advanced AI capabilities– motion
- Figure 35: The AI value chain - Advanced AI capabilities– creation
- Figure 36: The AI value chain - Advanced AI capabilities– sentience
- Figure 37: The AI value chain - Delivery
- Figure 38: Who does what in the construction space
- Figure 39: Thematic screen
- Figure 40: Valuation screen
- Figure 41: Risk screen
- Figure 42: Our five-step approach for generating a sector scorecard
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