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Artificial Intelligence (AI) in Construction - Thematic Intelligence

Publisher GlobalData
Published Jun 28, 2023
Length 77 Pages
SKU # GBDT18100621

Description

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.
Scope
  • 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
Reasons to Buy
  • 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

77 Pages
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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