建設分野における人工知能市場：コンポーネント、機能、建設段階、展開タイプ、用途別-2025-2030年の世界予測

建設分野における人工知能市場の2023年の市場規模は15億2,000万米ドルで、2024年には19億2,000万米ドルに達すると予測され、CAGR 27.67%で成長し、2030年には84億2,000万米ドルに達すると予測されます。

建設分野における人工知能（AI）の範囲と定義には、機械学習アルゴリズム、コンピューター・ビジョン、ロボット工学、データ解析の導入が含まれ、業務の合理化、設計精度の向上、建設プロジェクト全体の生産性向上を実現します。AIの必要性は、建設業界に蔓延する重大な非効率性に対処し、コストを削減し、安全リスクを軽減するという需要から生まれています。AIアプリケーションは、計画の最適化、予知保全、リスク管理、機械の自律的操作を進め、特にプロジェクト管理と資源配分において変革的な利益をもたらしています。主な最終用途には、商業、住宅、インフラ部門が含まれ、建築・開発プロジェクトを進化させるためにAIへの依存が高まっています。市場の洞察によると、モノのインターネット（IoT）の統合、スマートシティ構想に対する政府の支援、持続可能な建設への注目の高まりなどの要因が市場成長を促進しています。デジタルツイン技術の台頭と持続可能性プロジェクトにおけるAIの役割は、新たな潜在的機会を提示し、競争力を獲得するためにこれらの技術に投資するよう企業に促しています。しかし、高額な初期費用、データプライバシーに関する懸念、変化に対する業界の抵抗、AI導入のための標準化されたプロトコルの欠如といった制約が大きな課題となっています。企業は、懐疑的な見方を克服するために、AIの解釈可能なモデルを強化し、ROIの透明性を向上させることに注力することが推奨されます。イノベーションの機会は、リアルタイムデータ処理のためのAIシステム、適応型機械学習モデル、建設プロジェクトのライフサイクル管理のための統合AIソリューションの開発にあります。また、AIを活用したスマートコントラクトやサプライチェーンの予測分析に関する調査も、ビジネス成長の道を開く可能性があります。市場は本質的にダイナミックであり、タイムラインは不確定であるため、絶え間ない適応が必要です。AIの適応的な活用に適した企業は、進化する技術的状況の中で最も大きな利益を享受できる可能性が高いです。

市場力学：急速に進化する建設分野における人工知能市場の主要市場インサイトを公開

建設分野における人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的決定の精緻化、そして新たなビジネスチャンスの獲得に備えることができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 世界の建築・建設活動の増加
  • プロジェクトの効率化と建設プロセスの生産性向上に対する需要
  • プロジェクト計画とリスク軽減のための予測分析の活用
• 市場抑制要因
  • 建設におけるAIシステムの初期投資と導入の高さ
• 市場機会
  • AI技術の大幅な進歩
  • 建設現場のリアルタイムモニタリングと分析への新たな利用
• 市場の課題
  • 建設現場でのAI技術利用に伴うデータ漏洩やプライバシーに関する懸念

ポーターのファイブフォース：建設分野における人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、市場情勢の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：建設分野における人工知能市場における外部からの影響の把握

外部マクロ環境要因は、建設分野における人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析建設分野における人工知能市場における競合情勢の把握

建設分野における人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス建設分野における人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、建設分野における人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨建設分野における人工知能市場における成功への道筋を描く

建設分野における人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 世界中で建築・建設活動が増加
    • プロジェクトの効率性と建設プロセスの生産性向上の需要
    • プロジェクト計画とリスク軽減のための予測分析の活用
  • 抑制要因
    • 建設業界におけるAIシステムの初期投資と導入コストの高さ
  • 機会
    • AI技術の大きな進歩
    • 建設現場のリアルタイム監視と分析の新たな用途
  • 課題
    • 建設業界におけるAI技術の利用に伴うデータ漏洩とプライバシーの懸念
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 建設分野における人工知能市場：コンポーネント別

• サービス
• ソリューション

第7章 建設分野における人工知能市場機能別

• 資産運用管理
• プロジェクト管理
• リスク管理
• スケジュール管理
• サプライチェーンマネジメント

第8章 建設分野における人工知能市場建設段階別

• 建設段階
• 建設後
• 建設前

第9章 建設分野における人工知能市場：展開タイプ別

• クラウド上
• オンプレミス

第10章 建設分野における人工知能市場：用途別

• 商業用
• 公共インフラ
• 住宅用

第11章 南北アメリカの建設分野における人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第12章 アジア太平洋地域の建設分野における人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第13章 欧州・中東・アフリカの建設分野における人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第14章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• ALICE Technologies Inc.
• Askporter
• Autodesk Inc.
• Bentley Systems Inc.
• buildAI
• COINS Global by The Access Group
• Dassault Systemes 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.
• TAVCO Services, Inc.

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2030 (%)
• FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 24. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 25. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ASSET MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY PROJECT MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY RISK MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SCHEDULE MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION-STAGE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY POST-CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY PRE-CONSTRUCTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMMERCIAL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY PUBLIC INFRASTRUCTURE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY RESIDENTIAL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 28. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 29. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 30. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 31. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 32. AMERICAS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 33. ARGENTINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 34. ARGENTINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 35. ARGENTINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 36. ARGENTINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 37. ARGENTINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 39. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 40. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 41. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 42. BRAZIL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 43. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 44. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 45. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 46. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 47. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 48. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 49. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 50. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 51. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 52. MEXICO ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 53. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 54. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 55. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 56. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 57. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. UNITED STATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 59. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 60. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 61. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 62. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 63. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 64. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 65. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 66. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 67. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 68. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 69. AUSTRALIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 70. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 71. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 72. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 73. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 74. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 75. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 76. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 77. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 78. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 79. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 80. INDONESIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 81. INDONESIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 82. INDONESIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 83. INDONESIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 84. INDONESIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 86. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 87. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 88. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 89. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 90. MALAYSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 91. MALAYSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 92. MALAYSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 93. MALAYSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 94. MALAYSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 95. PHILIPPINES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 96. PHILIPPINES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 97. PHILIPPINES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 98. PHILIPPINES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 99. PHILIPPINES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 100. SINGAPORE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 101. SINGAPORE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 102. SINGAPORE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 103. SINGAPORE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 104. SINGAPORE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 105. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 106. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 107. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 108. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 109. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 110. TAIWAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 111. TAIWAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 112. TAIWAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 113. TAIWAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 114. TAIWAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 115. THAILAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 116. THAILAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 117. THAILAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 118. THAILAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 119. THAILAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 120. VIETNAM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 121. VIETNAM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 122. VIETNAM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 123. VIETNAM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 124. VIETNAM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 126. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 127. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 128. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 129. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 130. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 131. DENMARK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 132. DENMARK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 133. DENMARK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 134. DENMARK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 135. DENMARK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 136. EGYPT ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 137. EGYPT ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 138. EGYPT ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 139. EGYPT ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 140. EGYPT ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 141. FINLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 142. FINLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 143. FINLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 144. FINLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 145. FINLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 146. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 147. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 148. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 149. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 150. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 151. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 152. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 153. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 154. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 155. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 156. ISRAEL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 157. ISRAEL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 158. ISRAEL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 159. ISRAEL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 160. ISRAEL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 161. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 162. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 163. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 164. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 165. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 166. NETHERLANDS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 167. NETHERLANDS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 168. NETHERLANDS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 169. NETHERLANDS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 170. NETHERLANDS ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 171. NIGERIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 172. NIGERIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 173. NIGERIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 174. NIGERIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 175. NIGERIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 176. NORWAY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 177. NORWAY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 178. NORWAY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 179. NORWAY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 180. NORWAY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 181. POLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 182. POLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 183. POLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 184. POLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 185. POLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 186. QATAR ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 187. QATAR ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 188. QATAR ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 189. QATAR ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 190. QATAR ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 191. RUSSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 192. RUSSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 193. RUSSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 194. RUSSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 195. RUSSIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 196. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 197. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 198. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 199. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 200. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 201. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 202. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 203. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 204. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 205. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 206. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 207. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 208. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 209. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 210. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 211. SWEDEN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 212. SWEDEN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 213. SWEDEN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 214. SWEDEN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 215. SWEDEN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 216. SWITZERLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 217. SWITZERLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 218. SWITZERLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 219. SWITZERLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 220. SWITZERLAND ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 221. TURKEY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 222. TURKEY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 223. TURKEY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 224. TURKEY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 225. TURKEY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 226. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 227. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 228. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 229. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 230. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 231. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 232. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CAPABILITIES, 2018-2030 (USD MILLION)
• TABLE 233. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY CONSTRUCTION STAGE, 2018-2030 (USD MILLION)
• TABLE 234. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2018-2030 (USD MILLION)
• TABLE 235. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 236. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 237. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Construction Market was valued at USD 1.52 billion in 2023, expected to reach USD 1.92 billion in 2024, and is projected to grow at a CAGR of 27.67%, to USD 8.42 billion by 2030.

The scope and definition of artificial intelligence (AI) in construction encompass the deployment of machine learning algorithms, computer vision, robotics, and data analytics to streamline operations, enhance design accuracy, and improve productivity across construction projects. The necessity for AI emerges from a demand to address critical inefficiencies, reduce costs, and mitigate safety risks prevalent within the construction industry. AI applications are advancing plan optimization, predictive maintenance, risk management, and autonomous machinery operation, providing transformative benefits particularly in project management and resource allocation. Key end-use scopes include commercial, residential, and infrastructure sectors, all of which increasingly rely on AI for evolving their building and development projects. Market insights suggest that factors such as the integration of Internet of Things (IoT), government support for smart city initiatives, and a heightened focus on sustainable construction are driving market growth. The rise in digital twin technology and AI's role in sustainability projects present new potential opportunities, urging companies to invest in these technologies to attain a competitive edge. However, limitations such as high upfront costs, data privacy concerns, industry resistance to change, and the current lack of standardized protocols for AI implementation pose significant challenges. Companies are recommended to focus on enhancing AI interpretable models and improving ROI transparency to overcome skepticism. Innovation opportunities lie in developing AI systems for real-time data processing, adaptive machine learning models, and integrated AI solutions for lifecycle management of construction projects. Research in AI-enabled smart contracts and predictive analytics for supply chains can also pave the way for business growth. The market is inherently dynamic with uncertain timelines, requiring constant adaptation; companies well-positioned for the adaptive use of AI are likely to experience the most significant benefits amid evolving technological landscapes.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Construction Market

The Artificial Intelligence in Construction Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• 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

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Construction Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Construction Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Construction Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Construction Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Construction Market

A detailed market share analysis in the Artificial Intelligence in Construction Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Construction Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Construction Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Construction Market

A strategic analysis of the Artificial Intelligence in Construction Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

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 Systemes 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..

Market Segmentation & Coverage

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

• Based on Component, market is studied across Service and Solution.
• Based on Capabilities, market is studied across Asset Management, Project Management, Risk Management, Schedule Management, and Supply Chain Management.
• Based on Construction Stage, market is studied across Construction-Stage, Post-Construction, and Pre-Construction.
• Based on Deployment Type, market is studied across On-Cloud and On-Premises.
• Based on Application, market is studied across Commercial, Public Infrastructure, and Residential.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rise in building and construction activities worldwide
    • 5.1.1.2. Demand to improve project efficiency and productivity of construction processes
    • 5.1.1.3. Utilization of predictive analytics for project planning and risk mitigation
  • 5.1.2. Restraints
    • 5.1.2.1. High initial investment and implementation of AI systems in construction
  • 5.1.3. Opportunities
    • 5.1.3.1. Significant advancements in AI technology
    • 5.1.3.2. Emerging use for real-time monitoring and analysis of construction sites
  • 5.1.4. Challenges
    • 5.1.4.1. Data breach and privacy concerns associated with the use of AI technology in construction
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Construction Market, by Component

• 6.1. Introduction
• 6.2. Service
• 6.3. Solution

7. Artificial Intelligence in Construction Market, by Capabilities

• 7.1. Introduction
• 7.2. Asset Management
• 7.3. Project Management
• 7.4. Risk Management
• 7.5. Schedule Management
• 7.6. Supply Chain Management

8. Artificial Intelligence in Construction Market, by Construction Stage

• 8.1. Introduction
• 8.2. Construction-Stage
• 8.3. Post-Construction
• 8.4. Pre-Construction

9. Artificial Intelligence in Construction Market, by Deployment Type

• 9.1. Introduction
• 9.2. On-Cloud
• 9.3. On-Premises

10. Artificial Intelligence in Construction Market, by Application

• 10.1. Introduction
• 10.2. Commercial
• 10.3. Public Infrastructure
• 10.4. Residential

11. Americas Artificial Intelligence in Construction Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Artificial Intelligence in Construction Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Construction Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. ALICE Technologies Inc.
• 2. Askporter
• 3. Autodesk Inc.
• 4. Bentley Systems Inc.
• 5. buildAI
• 6. COINS Global by The Access Group
• 7. Dassault Systemes S.E
• 8. Deepomatic
• 9. Doxel Inc.
• 10. eSUB, Inc.
• 11. IBM Corporation
• 12. Invonto LLC
• 13. NVIDIA Corporation
• 14. Oracle Corporation
• 15. PTC Inc.
• 16. Renoworks Software Inc.
• 17. SAP SE
• 18. SmartInside AI Inc.
• 19. TAVCO Services, Inc.