サンプル依頼リスト カート
  • English
デフォルト表紙
市場調査レポート
商品コード
1193101

建設業における人工知能市場：オファリング別、デプロイメントタイプ別、組織規模別（中小企業、大企業）、産業タイプ別：世界の機会分析および産業予測、2021年～2031年

Artificial Intelligence in Construction Market By Offerings, By Deployment Type, By Organization Size (Small and Medium-sized Enterprises, Large enterprises), By Industry Type : Global Opportunity Analysis and Industry Forecast, 2021-2031
出版日: | 発行: Allied Market Research | ページ情報: 英文 280 Pages | 納期: 2～3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=158.97円
建設業における人工知能市場：オファリング別、デプロイメントタイプ別、組織規模別（中小企業、大企業）、産業タイプ別：世界の機会分析および産業予測、2021年～2031年
出版日: 2022年10月01日
発行: Allied Market Research
ページ情報: 英文 280 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

建設業における人工知能の世界市場は、2022年から2031年にかけてCAGR34.1%で2021年の4億9640万米ドルから成長し、2031年までに85億4580万米ドルを獲得すると想定されています。

建設業における人工知能の成長の主な要因は、時間と費用を節約しながら生産性を高めることができるため、この技術に対する需要が増加していることです。また、建設プロジェクトのマッピングや調査、建設現場の航空写真撮影のためにロボットやドローンなどの自動運転車両の利用が増加していることから、予測期間中、有利な新しい市場成長の可能性が生まれると予想されます。

ロボットは非常に複雑な機械であり、修理やメンテナンスに莫大な費用がかかるため、ロボットの維持には莫大な費用がかかる可能性があります。ロボットは、内部回路やファームウェアに組み込まれたプログラム以外では、他の機械と異なる動きをすることができないです。人間の心の独創性にはかなわないです。機械は既成概念にとらわれない創造的な発想ができないが、人間は毎日何千ものユニークなアイデアを生み出しています。このことが、市場の成長を抑制しています。

建設業における人工知能に関する急速な技術革新と研究開発は、優れた成長機会を生み出すと推定されます。例えば、2020年3月、「Vinnie」と名付けられたNewmetrixの建設業で鍛えられたAIエンジンは、新しい高所作業の危険性、建物の異なるステージを見る能力、グループ内の従業員を識別する能力などの新しい機能を備えて更新されました。このような技術開拓により、企業は建設現場で人工知能を使用して健康被害を減らし、仕事の質を高め、運用コストを削減するよう説得され、今後数年間で建設市場の人工知能の成長が加速すると予測されています。

建設活動の完全なシャットダウンだけでなく、COVID-19パンデミックによる経済的不確実性は、建設市場の成長における人工知能にマイナスの影響を及ぼしています。社会的距離の規範と労働者の間のCOVID-19ウイルス拡散の恐怖は、成長の鈍化につながる建設部門にマイナスの影響を与えました。これらの要因は、パンデミック時の建設業における人工知能の市場規模に影響を与え、市場はパンデミック後の迅速な成長を示すと推定されています。

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場の概要

  • 市場の定義と範囲
  • 主な調査結果
    • 主な投資ポケット
  • ポーターのファイブフォース分析
  • 主要企業のポジショニング
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
  • COVID-19 影響分析

第4章 建設業における人工知能市場：オファリング別

  • 概要
    • 市場規模・予測
  • ソリューション
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別分析
  • サービス
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別

第5章 建設業における人工知能市場：デプロイメントタイプ別

  • 概要
    • 市場規模・予測
  • クラウド
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別
  • オンプレミス
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別

第6章 建設業における人工知能市場：組織規模別

  • 概要
    • 市場規模・予測
  • 中小企業
    • 主な市場動向・成長要因・機会
    • 市場規模・予測：地域別
    • 市場分析：国別
  • 大企業
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別

第7章 建設業における人工知能市場：産業タイプ別

  • 概要
    • 市場規模・予測
  • 住宅分野
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別
  • 機関投資家向けコマーシャル
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別
  • その他
    • 主な市場動向、成長要因、機会
    • 市場規模・予測：地域別
    • 市場分析：国別

第8章 建設業における人工知能市場：地域別

  • 概要
    • 市場規模・予測
  • 北米
    • 主な動向と機会
    • 北米の市場規模・予測：オファリング別
    • 北米の市場規模・予測：デプロイメントタイプ別
    • 北米市場規模・予測：組織規模別
    • 北米市場規模・予測：産業タイプ別
    • 北米市場規模・予測：国別
      • 米国
      • カナダ
      • メキシコ
  • 欧州
    • 主な動向と機会
    • 欧州市場規模・予測：オファリング別
    • 欧州市場規模・予測：デプロイメントタイプ別
    • 欧州市場規模・予測：組織規模別
    • 欧州市場規模・予測：産業タイプ別
    • 欧州市場規模・予測：国別
      • 英国
      • ドイツ
      • フランス
      • スペイン
      • イタリア
      • その他欧州
  • アジア太平洋地域
    • 主な動向と機会
    • アジア太平洋地域の市場規模・予測：オファリング別
    • アジア太平洋地域の市場規模・予測：デプロイメントタイプ別
    • アジア太平洋地域の市場規模・予測：組織規模別
    • アジア太平洋地域の市場規模・予測：産業タイプ別
    • アジア太平洋地域の市場規模・予測：国別
      • 中国
      • インド
      • 日本
      • 韓国
      • オーストラリア
      • その他アジア太平洋地域
  • LAMEA
    • 主な動向と機会
    • LAMEAの市場規模・予測：オファリング別
    • LAMEAの市場規模・予測：デプロイメントタイプ別
    • LAMEAの市場規模・予測：組織規模別
    • LAMEAの市場規模・予測：産業タイプ別
    • LAMEA市場の市場規模・予測：国別
      • ブラジル
      • UAE
      • サウジアラビア
      • 南アフリカ共和国
      • LAMEAの残りの地域

第9章 企業情勢

  • イントロダクション
  • 主要成功戦略
  • 主要10社の製品マッピング
  • 競合ダッシュボード
  • 競合のヒートマップ
  • 主な発展

第10章 企業プロファイル

  • Autodesk, Inc.
  • IBM
  • Microsoft Corporation
  • Oracle Corporation
  • SAP
  • aurora computer services
  • Building System Planning Inc.
  • PTC Inc.
  • NVIDIA Corporation
  • Dassault Systemes SE
図表

LIST OF TABLES

  • TABLE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 2. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR SOLUTIONS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 3. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR SOLUTIONS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 4. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR SERVICES, BY REGION, 2021-2031 ($MILLION)
  • TABLE 5. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR SERVICES, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 7. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR CLOUD, BY REGION, 2021-2031 ($MILLION)
  • TABLE 8. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR CLOUD, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 9. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR ON-PREMISES, BY REGION, 2021-2031 ($MILLION)
  • TABLE 10. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR ON-PREMISES, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 12. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY REGION, 2021-2031 ($MILLION)
  • TABLE 13. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 14. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR LARGE ENTERPRISES, BY REGION, 2021-2031 ($MILLION)
  • TABLE 15. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR LARGE ENTERPRISES, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 17. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR RESIDENTIAL, BY REGION, 2021-2031 ($MILLION)
  • TABLE 18. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR RESIDENTIAL, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 19. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR INSTITUTIONAL COMMERCIALS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 20. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR INSTITUTIONAL COMMERCIALS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 21. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
  • TABLE 22. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET FOR OTHERS, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 23. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY REGION, 2021-2031 ($MILLION)
  • TABLE 24. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 29. U.S. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 30. U.S. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 31. U.S. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 32. U.S. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 33. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 35. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 36. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 37. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 38. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 39. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 40. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 41. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 42. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 43. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 44. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 45. EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 46. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 47. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 48. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 49. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 50. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 51. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 52. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 53. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 54. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 55. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 56. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 57. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 58. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 59. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 60. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 61. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 62. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 63. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 64. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 65. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 66. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 67. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 68. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 69. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 70. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 71. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 72. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 73. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 74. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 75. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 76. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 77. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 78. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 79. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 80. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 81. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 82. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 83. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 84. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 85. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 86. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 87. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 88. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 89. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 90. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 91. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 92. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 93. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 94. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 95. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 96. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 97. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 98. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 99. LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 100. LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 101. LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 102. LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 103. LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COUNTRY, 2021-2031 ($MILLION)
  • TABLE 104. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 105. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 106. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 107. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 108. UAE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 109. UAE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 110. UAE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 111. UAE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 112. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 113. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 114. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 115. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 116. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 117. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 118. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 119. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 120. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS, 2021-2031 ($MILLION)
  • TABLE 121. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE, 2021-2031 ($MILLION)
  • TABLE 122. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE, 2021-2031 ($MILLION)
  • TABLE 123. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE, 2021-2031 ($MILLION)
  • TABLE 124.AUTODESK, INC.: COMPANY SNAPSHOT
  • TABLE 125.AUTODESK, INC.: OPERATING SEGMENTS
  • TABLE 126.AUTODESK, INC.: PRODUCT PORTFOLIO
  • TABLE 127.AUTODESK, INC.: NET SALES,
  • TABLE 128.AUTODESK, INC.: KEY STRATERGIES
  • TABLE 129.IBM: COMPANY SNAPSHOT
  • TABLE 130.IBM: OPERATING SEGMENTS
  • TABLE 131.IBM: PRODUCT PORTFOLIO
  • TABLE 132.IBM: NET SALES,
  • TABLE 133.IBM: KEY STRATERGIES
  • TABLE 134.MICROSOFT CORPORATION: COMPANY SNAPSHOT
  • TABLE 135.MICROSOFT CORPORATION: OPERATING SEGMENTS
  • TABLE 136.MICROSOFT CORPORATION: PRODUCT PORTFOLIO
  • TABLE 137.MICROSOFT CORPORATION: NET SALES,
  • TABLE 138.MICROSOFT CORPORATION: KEY STRATERGIES
  • TABLE 139.ORACLE CORPORATION: COMPANY SNAPSHOT
  • TABLE 140.ORACLE CORPORATION: OPERATING SEGMENTS
  • TABLE 141.ORACLE CORPORATION: PRODUCT PORTFOLIO
  • TABLE 142.ORACLE CORPORATION: NET SALES,
  • TABLE 143.ORACLE CORPORATION: KEY STRATERGIES
  • TABLE 144.SAP: COMPANY SNAPSHOT
  • TABLE 145.SAP: OPERATING SEGMENTS
  • TABLE 146.SAP: PRODUCT PORTFOLIO
  • TABLE 147.SAP: NET SALES,
  • TABLE 148.SAP: KEY STRATERGIES
  • TABLE 149.AURORA COMPUTER SERVICES: COMPANY SNAPSHOT
  • TABLE 150.AURORA COMPUTER SERVICES: OPERATING SEGMENTS
  • TABLE 151.AURORA COMPUTER SERVICES: PRODUCT PORTFOLIO
  • TABLE 152.AURORA COMPUTER SERVICES: NET SALES,
  • TABLE 153.AURORA COMPUTER SERVICES: KEY STRATERGIES
  • TABLE 154.BUILDING SYSTEM PLANNING INC.: COMPANY SNAPSHOT
  • TABLE 155.BUILDING SYSTEM PLANNING INC.: OPERATING SEGMENTS
  • TABLE 156.BUILDING SYSTEM PLANNING INC.: PRODUCT PORTFOLIO
  • TABLE 157.BUILDING SYSTEM PLANNING INC.: NET SALES,
  • TABLE 158.BUILDING SYSTEM PLANNING INC.: KEY STRATERGIES
  • TABLE 159.PTC INC.: COMPANY SNAPSHOT
  • TABLE 160.PTC INC.: OPERATING SEGMENTS
  • TABLE 161.PTC INC.: PRODUCT PORTFOLIO
  • TABLE 162.PTC INC.: NET SALES,
  • TABLE 163.PTC INC.: KEY STRATERGIES
  • TABLE 164.NVIDIA CORPORATION: COMPANY SNAPSHOT
  • TABLE 165.NVIDIA CORPORATION: OPERATING SEGMENTS
  • TABLE 166.NVIDIA CORPORATION: PRODUCT PORTFOLIO
  • TABLE 167.NVIDIA CORPORATION: NET SALES,
  • TABLE 168.NVIDIA CORPORATION: KEY STRATERGIES
  • TABLE 169.DASSAULT SYSTEMES SE: COMPANY SNAPSHOT
  • TABLE 170.DASSAULT SYSTEMES SE: OPERATING SEGMENTS
  • TABLE 171.DASSAULT SYSTEMES SE: PRODUCT PORTFOLIO
  • TABLE 172.DASSAULT SYSTEMES SE: NET SALES,
  • TABLE 173.DASSAULT SYSTEMES SE: KEY STRATERGIES

LIST OF FIGURES

  • FIGURE 1.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SEGMENTATION
  • FIGURE 2.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031
  • FIGURE 3.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031
  • FIGURE 4. TOP INVESTMENT POCKETS, BY REGION
  • FIGURE 5.PORTER FIVE-1
  • FIGURE 6.PORTER FIVE-2
  • FIGURE 7.PORTER FIVE-3
  • FIGURE 8.PORTER FIVE-4
  • FIGURE 9.PORTER FIVE-5
  • FIGURE 10.TOP PLAYER POSITIONING
  • FIGURE 11.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 12.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,BY OFFERINGS,2021(%)
  • FIGURE 13.COMPARATIVE SHARE ANALYSIS OF SOLUTIONS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 15.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,BY DEPLOYMENT TYPE,2021(%)
  • FIGURE 16.COMPARATIVE SHARE ANALYSIS OF CLOUD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS OF ON-PREMISES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 18.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,BY ORGANIZATION SIZE,2021(%)
  • FIGURE 19.COMPARATIVE SHARE ANALYSIS OF SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 20.COMPARATIVE SHARE ANALYSIS OF LARGE ENTERPRISES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 21.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,BY INDUSTRY TYPE,2021(%)
  • FIGURE 22.COMPARATIVE SHARE ANALYSIS OF RESIDENTIAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS OF INSTITUTIONAL COMMERCIALS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 24.COMPARATIVE SHARE ANALYSIS OF OTHERS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031(%)
  • FIGURE 25.ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET BY REGION,2021
  • FIGURE 26.U.S. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 27.CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 28.MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 29.UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 30.GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 31.FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 32.SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 33.ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 34.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 35.CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 36.INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 37.JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 38.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 39.AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 40.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 41.BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 42.UAE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 43.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 44.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 45.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,2021-2031($MILLION)
  • FIGURE 46. TOP WINNING STRATEGIES, BY YEAR
  • FIGURE 47. TOP WINNING STRATEGIES, BY DEVELOPMENT
  • FIGURE 48. TOP WINNING STRATEGIES, BY COMPANY
  • FIGURE 49.PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 50.COMPETITIVE DASHBOARD
  • FIGURE 51.COMPETITIVE HEATMAP OF TOP 10 KEY PLAYERS
  • FIGURE 52.AUTODESK, INC..: NET SALES ,($MILLION)
  • FIGURE 53.IBM.: NET SALES ,($MILLION)
  • FIGURE 54.MICROSOFT CORPORATION.: NET SALES ,($MILLION)
  • FIGURE 55.ORACLE CORPORATION.: NET SALES ,($MILLION)
  • FIGURE 56.SAP.: NET SALES ,($MILLION)
  • FIGURE 57.AURORA COMPUTER SERVICES.: NET SALES ,($MILLION)
  • FIGURE 58.BUILDING SYSTEM PLANNING INC..: NET SALES ,($MILLION)
  • FIGURE 59.PTC INC..: NET SALES ,($MILLION)
  • FIGURE 60.NVIDIA CORPORATION.: NET SALES ,($MILLION)
  • FIGURE 61.DASSAULT SYSTEMES SE.: NET SALES ,($MILLION)
目次
Product Code: A12996

The global artificial intelligence in construction market is envisioned to garner $8,545.80 million by 2031, growing from $496.40 million in 2021 at a CAGR of 34.1% from 2022 to 2031.

The primary driver of artificial intelligence's growth in the construction industry is the increase in demand for this technology as it boosts productivity while saving time and money. In addition, the increased use of robots, drones, and other automated vehicles to map and survey construction projects and take aerial photos of construction sites is anticipated to create lucrative new market growth potential throughout the course of the projection period.

Maintaining a robot can be enormously expensive since they are extremely complex machines that require enormous costs to repair and maintain. Outside of the programming that is contained in their internal circuits and firmware, they are unable to behave any differently. Nothing can match the originality of the human mind. A machine cannot think creatively beyond the box, yet humans generate thousands of unique ideas daily. This factor is restraining the market growth.

Rapid technological innovations and research & developments with respect to artificial intelligence in the construction sector is estimated to generate excellent growth opportunities. For example, in March 2020, Newmetrix's construction-trained AI engine named "Vinnie" was updated with new capabilities such as new work at height dangers, the ability to see different stages of building, and the ability to identify employees in a group. Such technological developments convince businesses to use artificial intelligence at construction sites to reduce health hazards, enhance job quality, and reduce operational costs, which is predicted to accelerate artificial intelligence in construction market growth in the upcoming years.

The complete shutdown of construction activities as well as economic uncertainties caused by the COVID-19 pandemic has negatively impacted artificial intelligence in construction market growth. The social distancing norms and fear of COVID-19 virus spread among workers have negatively impacted the construction sector leading to slow growth. These factors have impacted the artificial intelligence in construction market size during the pandemic and the market is estimated to show speedy growth post-pandemic times.

The key players profiled in this report include Deepomatic, COINS Global, Beyond Limits Inc., Doxel, askporter, Autodesk, Inc., Renoworks Software, Inc., Building System Planning, Inc., Bentley Systems, Incorporated, and Predii.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence in construction market analysis from 2021 to 2031 to identify the prevailing artificial intelligence in construction market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the artificial intelligence in construction market segmentation assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global artificial intelligence in construction market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Offerings

  • Solutions
  • Services

By Deployment Type

  • Cloud
  • On-premises

By Organization Size

  • Small and Medium-sized Enterprises (SMEs)
  • Large enterprises

By Industry Type

  • Residential
  • Institutional commercials
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Spain
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • UAE
    • Saudi Arabia
    • South Africa
    • Rest of LAMEA
  • Key Market Players
    • Autodesk, Inc.
    • IBM
    • Microsoft Corporation
    • Oracle Corporation
    • SAP
    • aurora computer services
    • Building System Planning Inc.
    • PTC Inc.
    • NVIDIA Corporation
    • Dassault Systemes SE

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.Report description
  • 1.2.Key market segments
  • 1.3.Key benefits to the stakeholders
  • 1.4.Research Methodology
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.Key findings of the study
  • 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

  • 3.1.Market definition and scope
  • 3.2.Key findings
    • 3.2.1.Top investment pockets
  • 3.3.Porter's five forces analysis
  • 3.4.Top player positioning
  • 3.5.Market dynamics
    • 3.5.1.Drivers
    • 3.5.2.Restraints
    • 3.5.3.Opportunities
  • 3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY OFFERINGS

  • 4.1 Overview
    • 4.1.1 Market size and forecast
  • 4.2 Solutions
    • 4.2.1 Key market trends, growth factors and opportunities
    • 4.2.2 Market size and forecast, by region
    • 4.2.3 Market analysis by country
  • 4.3 Services
    • 4.3.1 Key market trends, growth factors and opportunities
    • 4.3.2 Market size and forecast, by region
    • 4.3.3 Market analysis by country

CHAPTER 5: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE

  • 5.1 Overview
    • 5.1.1 Market size and forecast
  • 5.2 Cloud
    • 5.2.1 Key market trends, growth factors and opportunities
    • 5.2.2 Market size and forecast, by region
    • 5.2.3 Market analysis by country
  • 5.3 On-premises
    • 5.3.1 Key market trends, growth factors and opportunities
    • 5.3.2 Market size and forecast, by region
    • 5.3.3 Market analysis by country

CHAPTER 6: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE

  • 6.1 Overview
    • 6.1.1 Market size and forecast
  • 6.2 Small and Medium-sized Enterprises (SMEs)
    • 6.2.1 Key market trends, growth factors and opportunities
    • 6.2.2 Market size and forecast, by region
    • 6.2.3 Market analysis by country
  • 6.3 Large enterprises
    • 6.3.1 Key market trends, growth factors and opportunities
    • 6.3.2 Market size and forecast, by region
    • 6.3.3 Market analysis by country

CHAPTER 7: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE

  • 7.1 Overview
    • 7.1.1 Market size and forecast
  • 7.2 Residential
    • 7.2.1 Key market trends, growth factors and opportunities
    • 7.2.2 Market size and forecast, by region
    • 7.2.3 Market analysis by country
  • 7.3 Institutional commercials
    • 7.3.1 Key market trends, growth factors and opportunities
    • 7.3.2 Market size and forecast, by region
    • 7.3.3 Market analysis by country
  • 7.4 Others
    • 7.4.1 Key market trends, growth factors and opportunities
    • 7.4.2 Market size and forecast, by region
    • 7.4.3 Market analysis by country

CHAPTER 8: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY REGION

  • 8.1 Overview
    • 8.1.1 Market size and forecast
  • 8.2 North America
    • 8.2.1 Key trends and opportunities
    • 8.2.2 North America Market size and forecast, by Offerings
    • 8.2.3 North America Market size and forecast, by Deployment Type
    • 8.2.4 North America Market size and forecast, by Organization Size
    • 8.2.5 North America Market size and forecast, by Industry Type
    • 8.2.6 North America Market size and forecast, by country
      • 8.2.6.1 U.S.
      • 8.2.6.1.1 Market size and forecast, by Offerings
      • 8.2.6.1.2 Market size and forecast, by Deployment Type
      • 8.2.6.1.3 Market size and forecast, by Organization Size
      • 8.2.6.1.4 Market size and forecast, by Industry Type
      • 8.2.6.2 Canada
      • 8.2.6.2.1 Market size and forecast, by Offerings
      • 8.2.6.2.2 Market size and forecast, by Deployment Type
      • 8.2.6.2.3 Market size and forecast, by Organization Size
      • 8.2.6.2.4 Market size and forecast, by Industry Type
      • 8.2.6.3 Mexico
      • 8.2.6.3.1 Market size and forecast, by Offerings
      • 8.2.6.3.2 Market size and forecast, by Deployment Type
      • 8.2.6.3.3 Market size and forecast, by Organization Size
      • 8.2.6.3.4 Market size and forecast, by Industry Type
  • 8.3 Europe
    • 8.3.1 Key trends and opportunities
    • 8.3.2 Europe Market size and forecast, by Offerings
    • 8.3.3 Europe Market size and forecast, by Deployment Type
    • 8.3.4 Europe Market size and forecast, by Organization Size
    • 8.3.5 Europe Market size and forecast, by Industry Type
    • 8.3.6 Europe Market size and forecast, by country
      • 8.3.6.1 UK
      • 8.3.6.1.1 Market size and forecast, by Offerings
      • 8.3.6.1.2 Market size and forecast, by Deployment Type
      • 8.3.6.1.3 Market size and forecast, by Organization Size
      • 8.3.6.1.4 Market size and forecast, by Industry Type
      • 8.3.6.2 Germany
      • 8.3.6.2.1 Market size and forecast, by Offerings
      • 8.3.6.2.2 Market size and forecast, by Deployment Type
      • 8.3.6.2.3 Market size and forecast, by Organization Size
      • 8.3.6.2.4 Market size and forecast, by Industry Type
      • 8.3.6.3 France
      • 8.3.6.3.1 Market size and forecast, by Offerings
      • 8.3.6.3.2 Market size and forecast, by Deployment Type
      • 8.3.6.3.3 Market size and forecast, by Organization Size
      • 8.3.6.3.4 Market size and forecast, by Industry Type
      • 8.3.6.4 Spain
      • 8.3.6.4.1 Market size and forecast, by Offerings
      • 8.3.6.4.2 Market size and forecast, by Deployment Type
      • 8.3.6.4.3 Market size and forecast, by Organization Size
      • 8.3.6.4.4 Market size and forecast, by Industry Type
      • 8.3.6.5 Italy
      • 8.3.6.5.1 Market size and forecast, by Offerings
      • 8.3.6.5.2 Market size and forecast, by Deployment Type
      • 8.3.6.5.3 Market size and forecast, by Organization Size
      • 8.3.6.5.4 Market size and forecast, by Industry Type
      • 8.3.6.6 Rest of Europe
      • 8.3.6.6.1 Market size and forecast, by Offerings
      • 8.3.6.6.2 Market size and forecast, by Deployment Type
      • 8.3.6.6.3 Market size and forecast, by Organization Size
      • 8.3.6.6.4 Market size and forecast, by Industry Type
  • 8.4 Asia-Pacific
    • 8.4.1 Key trends and opportunities
    • 8.4.2 Asia-Pacific Market size and forecast, by Offerings
    • 8.4.3 Asia-Pacific Market size and forecast, by Deployment Type
    • 8.4.4 Asia-Pacific Market size and forecast, by Organization Size
    • 8.4.5 Asia-Pacific Market size and forecast, by Industry Type
    • 8.4.6 Asia-Pacific Market size and forecast, by country
      • 8.4.6.1 China
      • 8.4.6.1.1 Market size and forecast, by Offerings
      • 8.4.6.1.2 Market size and forecast, by Deployment Type
      • 8.4.6.1.3 Market size and forecast, by Organization Size
      • 8.4.6.1.4 Market size and forecast, by Industry Type
      • 8.4.6.2 India
      • 8.4.6.2.1 Market size and forecast, by Offerings
      • 8.4.6.2.2 Market size and forecast, by Deployment Type
      • 8.4.6.2.3 Market size and forecast, by Organization Size
      • 8.4.6.2.4 Market size and forecast, by Industry Type
      • 8.4.6.3 Japan
      • 8.4.6.3.1 Market size and forecast, by Offerings
      • 8.4.6.3.2 Market size and forecast, by Deployment Type
      • 8.4.6.3.3 Market size and forecast, by Organization Size
      • 8.4.6.3.4 Market size and forecast, by Industry Type
      • 8.4.6.4 South Korea
      • 8.4.6.4.1 Market size and forecast, by Offerings
      • 8.4.6.4.2 Market size and forecast, by Deployment Type
      • 8.4.6.4.3 Market size and forecast, by Organization Size
      • 8.4.6.4.4 Market size and forecast, by Industry Type
      • 8.4.6.5 Australia
      • 8.4.6.5.1 Market size and forecast, by Offerings
      • 8.4.6.5.2 Market size and forecast, by Deployment Type
      • 8.4.6.5.3 Market size and forecast, by Organization Size
      • 8.4.6.5.4 Market size and forecast, by Industry Type
      • 8.4.6.6 Rest of Asia-Pacific
      • 8.4.6.6.1 Market size and forecast, by Offerings
      • 8.4.6.6.2 Market size and forecast, by Deployment Type
      • 8.4.6.6.3 Market size and forecast, by Organization Size
      • 8.4.6.6.4 Market size and forecast, by Industry Type
  • 8.5 LAMEA
    • 8.5.1 Key trends and opportunities
    • 8.5.2 LAMEA Market size and forecast, by Offerings
    • 8.5.3 LAMEA Market size and forecast, by Deployment Type
    • 8.5.4 LAMEA Market size and forecast, by Organization Size
    • 8.5.5 LAMEA Market size and forecast, by Industry Type
    • 8.5.6 LAMEA Market size and forecast, by country
      • 8.5.6.1 Brazil
      • 8.5.6.1.1 Market size and forecast, by Offerings
      • 8.5.6.1.2 Market size and forecast, by Deployment Type
      • 8.5.6.1.3 Market size and forecast, by Organization Size
      • 8.5.6.1.4 Market size and forecast, by Industry Type
      • 8.5.6.2 UAE
      • 8.5.6.2.1 Market size and forecast, by Offerings
      • 8.5.6.2.2 Market size and forecast, by Deployment Type
      • 8.5.6.2.3 Market size and forecast, by Organization Size
      • 8.5.6.2.4 Market size and forecast, by Industry Type
      • 8.5.6.3 Saudi Arabia
      • 8.5.6.3.1 Market size and forecast, by Offerings
      • 8.5.6.3.2 Market size and forecast, by Deployment Type
      • 8.5.6.3.3 Market size and forecast, by Organization Size
      • 8.5.6.3.4 Market size and forecast, by Industry Type
      • 8.5.6.4 South Africa
      • 8.5.6.4.1 Market size and forecast, by Offerings
      • 8.5.6.4.2 Market size and forecast, by Deployment Type
      • 8.5.6.4.3 Market size and forecast, by Organization Size
      • 8.5.6.4.4 Market size and forecast, by Industry Type
      • 8.5.6.5 Rest of LAMEA
      • 8.5.6.5.1 Market size and forecast, by Offerings
      • 8.5.6.5.2 Market size and forecast, by Deployment Type
      • 8.5.6.5.3 Market size and forecast, by Organization Size
      • 8.5.6.5.4 Market size and forecast, by Industry Type

CHAPTER 9: COMPANY LANDSCAPE

  • 9.1. Introduction
  • 9.2. Top winning strategies
  • 9.3. Product Mapping of Top 10 Player
  • 9.4. Competitive Dashboard
  • 9.5. Competitive Heatmap
  • 9.6. Key developments

CHAPTER 10: COMPANY PROFILES

  • 10.1 Autodesk, Inc.
    • 10.1.1 Company overview
    • 10.1.2 Company snapshot
    • 10.1.3 Operating business segments
    • 10.1.4 Product portfolio
    • 10.1.5 Business performance
    • 10.1.6 Key strategic moves and developments
  • 10.2 IBM
    • 10.2.1 Company overview
    • 10.2.2 Company snapshot
    • 10.2.3 Operating business segments
    • 10.2.4 Product portfolio
    • 10.2.5 Business performance
    • 10.2.6 Key strategic moves and developments
  • 10.3 Microsoft Corporation
    • 10.3.1 Company overview
    • 10.3.2 Company snapshot
    • 10.3.3 Operating business segments
    • 10.3.4 Product portfolio
    • 10.3.5 Business performance
    • 10.3.6 Key strategic moves and developments
  • 10.4 Oracle Corporation
    • 10.4.1 Company overview
    • 10.4.2 Company snapshot
    • 10.4.3 Operating business segments
    • 10.4.4 Product portfolio
    • 10.4.5 Business performance
    • 10.4.6 Key strategic moves and developments
  • 10.5 SAP
    • 10.5.1 Company overview
    • 10.5.2 Company snapshot
    • 10.5.3 Operating business segments
    • 10.5.4 Product portfolio
    • 10.5.5 Business performance
    • 10.5.6 Key strategic moves and developments
  • 10.6 aurora computer services
    • 10.6.1 Company overview
    • 10.6.2 Company snapshot
    • 10.6.3 Operating business segments
    • 10.6.4 Product portfolio
    • 10.6.5 Business performance
    • 10.6.6 Key strategic moves and developments
  • 10.7 Building System Planning Inc.
    • 10.7.1 Company overview
    • 10.7.2 Company snapshot
    • 10.7.3 Operating business segments
    • 10.7.4 Product portfolio
    • 10.7.5 Business performance
    • 10.7.6 Key strategic moves and developments
  • 10.8 PTC Inc.
    • 10.8.1 Company overview
    • 10.8.2 Company snapshot
    • 10.8.3 Operating business segments
    • 10.8.4 Product portfolio
    • 10.8.5 Business performance
    • 10.8.6 Key strategic moves and developments
  • 10.9 NVIDIA Corporation
    • 10.9.1 Company overview
    • 10.9.2 Company snapshot
    • 10.9.3 Operating business segments
    • 10.9.4 Product portfolio
    • 10.9.5 Business performance
    • 10.9.6 Key strategic moves and developments
  • 10.10 Dassault Systemes SE
    • 10.10.1 Company overview
    • 10.10.2 Company snapshot
    • 10.10.3 Operating business segments
    • 10.10.4 Product portfolio
    • 10.10.5 Business performance
    • 10.10.6 Key strategic moves and developments