Artificial Intelligence (AI) in Construction Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2026-2033
Persistence Market Research has recently released a comprehensive report on the global Artificial Intelligence (AI) in Construction market. The report delivers an in-depth evaluation of key market ... もっと見る
出版社
Persistence Market Research
パーシスタンスマーケットリサーチ 出版年月
2026年10月30日
電子版価格
納期
通常3-5営業日以内
ページ数
211
言語
英語
英語原文をAIを使って翻訳しています。
SummaryPersistence Market Research has recently released a comprehensive report on the global Artificial Intelligence (AI) in Construction market. The report delivers an in-depth evaluation of key market dynamics-drivers, trends, opportunities, and restraints-while offering detailed insights into market structure, value chain evolution, and competitive positioning across regions.Key Insights - Artificial Intelligence (AI) in Construction Market Size (2026E): US$ 6.2 Bn - Projected Market Value (2033F): US$ 32.0 Bn - Global Market Growth Rate (CAGR 2026-2033): 26.4% Artificial Intelligence (AI) in Construction Market - Report Scope The artificial intelligence in construction market encompasses software solutions, hardware devices, and services that apply machine learning, computer vision, NLP, robotics, and generative AI technologies to construction workflows. Applications include project management, field operations, safety compliance, supply chain optimization, quality control, and digital twin simulation. The market addresses productivity gaps, infrastructure investment demands, and regulatory compliance requirements across residential, commercial, and infrastructure development projects globally. Market Growth Drivers Infrastructure-led digital mandates requiring transparent reporting and safety compliance. Chronic construction productivity gap of less than 1% annual growth despite rising investment needs. Rising demand for data-driven risk mitigation and lifecycle cost management. Advances in computer vision, cloud computing, and generative AI reducing deployment friction. Market Restraints Fragmented data ecosystems across legacy systems and subcontractors increasing integration costs. Data preparation and system integration accounting for 30-45% of total AI deployment costs. Regulatory uncertainty around AI-assisted decision-making liability in safety-critical workflows. Market Opportunities AI-enabled digital twins for infrastructure lifecycle management and predictive maintenance. Government-mandated BIM and digital standards creating compulsory AI adoption pathways. Multi-year service agreements from construction-to-operations integration platforms. Key Questions Answered in the Report - What are the major factors driving global demand for artificial intelligence (ai) in construction? - Which product segments and applications are fueling Artificial Intelligence (AI) in Construction market growth? - How is North America, 39% market share in 2026 shaping the Artificial Intelligence (AI) in Construction market landscape? - Who are the leading players in the artificial intelligence (ai) in construction market, and what strategies are they adopting? - What are the emerging trends and long-term growth prospects for the global Artificial Intelligence (AI) in Construction market? Competitive Intelligence and Business Strategy Leading players in the artificial intelligence (ai) in construction market are focusing on capacity expansion, product innovation, and strategic partnerships to strengthen their global footprint. Investments in advanced technologies and vertical integration help ensure consistent product quality and supply reliability. Companies are also prioritizing long-term customer relationships and geographic expansion, while emphasizing sustainability, operational efficiency, and cost optimization to gain a competitive edge. Key Companies Profiled - Autodesk, Inc. - Bentley Systems, Incorporated - Trimble Inc. - Oracle Corporation - Procore Technologies, Inc. - SAP SE - Hexagon AB - NVIDIA Corporation - Siemens AG - Nemetschek Group - Alice Technologies - Doxel - Attentive.ai - Parspec - Caterpillar Market Segmentation By Component - Software Solutions - Hardware & Edge Devices - Services By Application - Project Management & Planning - Field Operations & Site Management - Risk Compliance & Safety Management - Supply Chain & Logistics Optimization - Quality Control & Defect Detection - Others By Technology - Machine Learning & Deep Learning - Computer Vision - Natural Language Processing - Robotics & Autonomous Systems - Generative AI - Digital Twin & Simulation Intelligence By Region - North America - Europe - East Asia - South Asia & Oceania - Latin America - Middle East & Africa Table of Contents1. Executive Summary1.1. Global Artificial Intelligence (AI) in Construction Market Snapshot, 2026 and 2033 1.2. Market Opportunity Assessment, 2026-2033, US$ Mn 1.3. Key Market Trends 1.4. Future Market Projections 1.5. Premium Market Insights 1.6. Industry Developments and Key Market Events 1.7. PMR Analysis and Recommendations 2. Market Overview 2.1. Market Scope and Definition 2.2. Market Dynamics 2.2.1. Drivers 2.2.2. Restraints 2.2.3. Opportunity 2.2.4. Challenges 2.2.5. Key Trends 2.3. Product Lifecycle Analysis 2.4. Artificial Intelligence (AI) in Construction Market: Value Chain 2.4.1. List of Raw Material Suppliers 2.4.2. List of Manufacturers 2.4.3. List of Distributors 2.4.4. Profitability Analysis 2.5. Forecast Factors - Relevance and Impact 2.6. Covid-19 Impact Assessment 2.7. PESTLE Analysis 2.8. Porter Five Force’s Analysis 2.9. Geopolitical Tensions: Market Impact 2.10. Regulatory and Application Landscape 3. Macro-Economic Factors 3.1. Global Sectorial Outlook 3.2. Global GDP Growth Outlook 3.3. Global Parent Market Overview 4. Price Trend Analysis, 2020-2033 4.1. Key Highlights 4.2. Key Factors Impacting Product Prices 4.3. Prices By Product Type/Composition/Application 4.4. Regional Prices and Product Preferences 5. Global Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 5.1. Key Highlights 5.1.1. Market Size and Y-o-Y Growth 5.1.2. Absolute $ Opportunity 5.2. Market Size (US$ Mn) Analysis and Forecast 5.2.1. Historical Market Size Analysis, 2020-2025 5.2.2. Current Market Size Forecast, 2026-2033 5.3. Global Artificial Intelligence (AI) in Construction Market Outlook: Component 5.3.1. Introduction / Key Findings 5.3.2. Historical Market Size (US$ Mn) and Volume Analysis By Component, 2020-2025 5.3.3. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 5.3.3.1. Software Solutions 5.3.3.2. Hardware & Edge Devices 5.3.3.3. Services 5.4. Market Attractiveness Analysis: Component 5.5. Global Artificial Intelligence (AI) in Construction Market Outlook: Application 5.5.1. Introduction / Key Findings 5.5.2. Historical Market Size (US$ Mn) and Volume Analysis By Application, 2020-2025 5.5.3. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 5.5.3.1. Project Management & Planning 5.5.3.2. Field Operations & Site Management 5.5.3.3. Risk Compliance & Safety Management 5.5.3.4. Supply Chain & Logistics Optimization 5.5.3.5. Quality Control & Defect Detection 5.5.3.6. Others 5.6. Market Attractiveness Analysis: Application 6. Global Artificial Intelligence (AI) in Construction Market Outlook: Region 6.1. Key Highlights 6.2. Historical Market Size (US$ Mn) and Volume Analysis By Region, 2020-2025 6.3. Current Market Size (US$ Mn) and Volume Forecast By Region, 2026-2033 6.3.1. North America 6.3.2. Europe 6.3.3. East Asia 6.3.4. South Asia & Oceania 6.3.5. Latin America 6.3.6. Middle East & Africa 6.4. Market Attractiveness Analysis: Region 7. North America Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 7.1. Key Highlights 7.2. Pricing Analysis 7.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 7.3.1. By Country 7.3.2. By Component 7.3.3. By Application 7.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 7.4.1. U.S. 7.4.2. Canada 7.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 7.5.1. Software Solutions 7.5.2. Hardware & Edge Devices 7.5.3. Services 7.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 7.6.1. Project Management & Planning 7.6.2. Field Operations & Site Management 7.6.3. Risk Compliance & Safety Management 7.6.4. Supply Chain & Logistics Optimization 7.6.5. Quality Control & Defect Detection 7.6.6. Others 7.7. Market Attractiveness Analysis 8. Europe Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 8.1. Key Highlights 8.2. Pricing Analysis 8.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 8.3.1. By Country 8.3.2. By Component 8.3.3. By Application 8.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 8.4.1. Germany 8.4.2. France 8.4.3. U.K. 8.4.4. Italy 8.4.5. Spain 8.4.6. Russia 8.4.7. Rest of Europe 8.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 8.5.1. Software Solutions 8.5.2. Hardware & Edge Devices 8.5.3. Services 8.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 8.6.1. Project Management & Planning 8.6.2. Field Operations & Site Management 8.6.3. Risk Compliance & Safety Management 8.6.4. Supply Chain & Logistics Optimization 8.6.5. Quality Control & Defect Detection 8.6.6. Others 8.7. Market Attractiveness Analysis 9. East Asia Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 9.1. Key Highlights 9.2. Pricing Analysis 9.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 9.3.1. By Country 9.3.2. By Component 9.3.3. By Application 9.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 9.4.1. China 9.4.2. Japan 9.4.3. South Korea 9.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 9.5.1. Software Solutions 9.5.2. Hardware & Edge Devices 9.5.3. Services 9.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 9.6.1. Project Management & Planning 9.6.2. Field Operations & Site Management 9.6.3. Risk Compliance & Safety Management 9.6.4. Supply Chain & Logistics Optimization 9.6.5. Quality Control & Defect Detection 9.6.6. Others 9.7. Market Attractiveness Analysis 10. South Asia & Oceania Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 10.1. Key Highlights 10.2. Pricing Analysis 10.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 10.3.1. By Country 10.3.2. By Component 10.3.3. By Application 10.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 10.4.1. India 10.4.2. Southeast Asia 10.4.3. ANZ 10.4.4. Rest of South Asia & Oceania 10.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 10.5.1. Software Solutions 10.5.2. Hardware & Edge Devices 10.5.3. Services 10.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 10.6.1. Project Management & Planning 10.6.2. Field Operations & Site Management 10.6.3. Risk Compliance & Safety Management 10.6.4. Supply Chain & Logistics Optimization 10.6.5. Quality Control & Defect Detection 10.6.6. Others 10.7. Market Attractiveness Analysis 11. Latin America Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 11.1. Key Highlights 11.2. Pricing Analysis 11.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 11.3.1. By Country 11.3.2. By Component 11.3.3. By Application 11.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 11.4.1. Brazil 11.4.2. Mexico 11.4.3. Rest of Latin America 11.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 11.5.1. Software Solutions 11.5.2. Hardware & Edge Devices 11.5.3. Services 11.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 11.6.1. Project Management & Planning 11.6.2. Field Operations & Site Management 11.6.3. Risk Compliance & Safety Management 11.6.4. Supply Chain & Logistics Optimization 11.6.5. Quality Control & Defect Detection 11.6.6. Others 11.7. Market Attractiveness Analysis 12. Middle East & Africa Artificial Intelligence (AI) in Construction Market Outlook: Historical (2020-2025) and Forecast (2026-2033) 12.1. Key Highlights 12.2. Pricing Analysis 12.3. Historical Market Size (US$ Mn) and Volume Analysis By Market, 2020-2025 12.3.1. By Country 12.3.2. By Component 12.3.3. By Application 12.4. Current Market Size (US$ Mn) and Volume Forecast By Country, 2026-2033 12.4.1. GCC 12.4.2. South Africa 12.4.3. Northern Africa 12.4.4. Rest of Middle East & Africa 12.5. Current Market Size (US$ Mn) and Volume Forecast By Component, 2026-2033 12.5.1. Software Solutions 12.5.2. Hardware & Edge Devices 12.5.3. Services 12.6. Current Market Size (US$ Mn) and Volume Forecast By Application, 2026-2033 12.6.1. Project Management & Planning 12.6.2. Field Operations & Site Management 12.6.3. Risk Compliance & Safety Management 12.6.4. Supply Chain & Logistics Optimization 12.6.5. Quality Control & Defect Detection 12.6.6. Others 12.7. Market Attractiveness Analysis 13. Competition Landscape 13.1. Market Share Analysis, 2025 13.2. Market Structure 13.2.1. Competition Intensity Mapping By Market 13.2.2. Competition Dashboard 13.2.3. Apparent Production/Service Capacity 13.3. Company Profiles (Details - Overview, Financials, Strategy, Recent Developments) 13.3.1. Autodesk, Inc. 13.3.1.1. Overview 13.3.1.2. Segments and Products 13.3.1.3. Key Financials 13.3.1.4. Market Developments 13.3.1.5. Market Strategy 13.3.2. Bentley Systems, Incorporated 13.3.3. Trimble Inc. 13.3.4. Oracle Corporation 13.3.5. Procore Technologies, Inc. 13.3.6. SAP SE 13.3.7. Hexagon AB 13.3.8. NVIDIA Corporation 13.3.9. Siemens AG 13.3.10. Nemetschek Group 13.3.11. Alice Technologies 13.3.12. Doxel 13.3.13. Attentive.ai 13.3.14. Parspec 13.3.15. Caterpillar 14. Appendix 14.1. Research Methodology 14.2. Research Assumptions 14.3. Acronyms and Abbreviations
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