Artificial Intelligence in Construction Market by Component (Service, Solution), Capabilities (Asset Management, Project Management, Risk Management), Construction Stage, Deployment Type, Application - Global Forecast 2024-2030

[192 Pages Report] The Artificial Intelligence in Construction Market size was estimated at USD 1.52 billion in 2023 and expected to reach USD 1.92 billion in 2024, at a CAGR 27.67% to reach USD 8.42 billion by 2030.

The United States market is driven by significant investments in infrastructure development and an emphasis on adopting advanced technologies. Canada's construction sector is steadily embracing AI, with a focus on improving productivity and sustainability. The government's push for smart cities and infrastructure projects creates opportunities for AI integration. Countries, including Germany and France in Europe, invest heavily in AI for automation and efficiency, while the Middle East, including the United Arab Emirates and Saudi Arabia, integrates AI in mega projects empowered by Vision 2030 initiatives. In Africa, AI's potential to address labor shortages and improve project management is gradually gaining traction. In the Asia-Pacific region, China stands out for its rapid urbanization and government-backed AI development, Japan prioritizes AI-driven robotics due to labor shortages, and India focuses on infrastructure development through initiatives, including the Smart Cities Mission.

AI in the construction market is influenced by regulatory frameworks and responsive strategies across various geographies. In the United States, OSHA's focus on safety standards drives vendors to develop AI solutions for real-time hazard detection. The European Union's GDPR impacts AI data processing, leading companies to invest in data compliance technologies.

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Construction Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

• Market Drivers
  • Rise in building and construction activities worldwide
  • Demand to improve project efficiency and productivity of construction processes
  • Utilization of predictive analytics for project planning and risk mitigation
• Market Restraints
  • High initial investment and implementation of AI systems in construction
• Market Opportunities
  • Significant advancements in AI technology
  • Emerging use for real-time monitoring and analysis of construction sites
• Market Challenges
  • Data breach and privacy concerns associated with the use of AI technology in construction

The porter's five forces analysis offers a simple and powerful tool for understanding, identifying, and analyzing the position, situation, and power of the businesses in the Artificial Intelligence in Construction Market. This model is helpful for companies to understand the strength of their current competitive position and the position they are considering repositioning into. With a clear understanding of where power lies, businesses can take advantage of a situation of strength, improve weaknesses, and avoid taking wrong steps. The tool identifies whether new products, services, or companies have the potential to be profitable. In addition, it can be very informative when used to understand the balance of power in exceptional use cases.

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Artificial Intelligence in Construction Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Construction Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Construction Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

The report delves into recent significant developments in the Artificial Intelligence in Construction Market, highlighting leading vendors and their innovative profiles. These include ALICE Technologies Inc., Askporter, Autodesk Inc., Bentley Systems Inc., buildAI, COINS Global by The Access Group, Dassault Systèmes S.E, Deepomatic, Doxel Inc., eSUB, Inc., IBM Corporation, Invonto LLC, NVIDIA Corporation, Oracle Corporation, PTC Inc., Renoworks Software Inc., SAP SE, SmartInside AI Inc., and TAVCO Services, Inc..

This research report categorizes the Artificial Intelligence in Construction Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Component
  • Service
  • Solution
• Capabilities
  • Asset Management
  • Project Management
  • Risk Management
  • Schedule Management
  • Supply Chain Management
• Construction Stage
  • Construction-Stage
  • Post-Construction
  • Pre-Construction
• Deployment Type
  • On-Cloud
  • On-Premises
• Application
  • Commercial
  • Public Infrastructure
  • Residential

• Region
  • Americas
    • Argentina
    • Brazil
    • Canada
    • Mexico
    • United States
      • California
      • Florida
      • Illinois
      • New York
      • Ohio
      • Pennsylvania
      • Texas
  • Asia-Pacific
    • Australia
    • China
    • India
    • Indonesia
    • Japan
    • Malaysia
    • Philippines
    • Singapore
    • South Korea
    • Taiwan
    • Thailand
    • Vietnam
  • Europe, Middle East & Africa
    • Denmark
    • Egypt
    • Finland
    • France
    • Germany
    • Israel
    • Italy
    • Netherlands
    • Nigeria
    • Norway
    • Poland
    • Qatar
    • Russia
    • Saudi Arabia
    • South Africa
    • Spain
    • Sweden
    • Switzerland
    • Turkey
    • United Arab Emirates
    • United Kingdom

1. Market Penetration: This section thoroughly overviews the current market landscape, incorporating detailed data from key industry players.
2. Market Development: The report examines potential growth prospects in emerging markets and assesses expansion opportunities in mature segments.
3. Market Diversification: This includes detailed information on recent product launches, untapped geographic regions, recent industry developments, and strategic investments.
4. Competitive Assessment & Intelligence: An in-depth analysis of the competitive landscape is conducted, covering market share, strategic approaches, product range, certifications, regulatory approvals, patent analysis, technology developments, and advancements in the manufacturing capabilities of leading market players.
5. Product Development & Innovation: This section offers insights into upcoming technologies, research and development efforts, and notable advancements in product innovation.

1. What is the current market size and projected growth?
2. Which products, segments, applications, and regions offer promising investment opportunities?
3. What are the prevailing technology trends and regulatory frameworks?
4. What is the market share and positioning of the leading vendors?
5. What revenue sources and strategic opportunities do vendors in the market consider when deciding to enter or exit?