サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
表紙：建設における人工知能（AI）の世界市場2023-2030
市場調査レポート
商品コード
1296883

建設における人工知能（AI）の世界市場2023-2030

Global Artificial Intelligence (AI) in Construction Market 2023-2030
出版日: | 発行: Orion Market Research | ページ情報: 英文 200 Pages | 納期: 2～3営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報（例：国別セグメント）の追加などの対応が可能です。　 詳細はお問い合わせください。

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
建設における人工知能（AI）の世界市場2023-2030
出版日: 2023年05月25日
発行: Orion Market Research
ページ情報: 英文 200 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の建設における人工知能（AI）市場は、予測期間中（2023-2030年）にCAGR 38.7％で成長すると予測されています。建設における効率的なプランニングやその他のプロセスに対する需要などの要因が、人工知能のような先進技術が建設における人工知能（AI）市場の成長を促進しています。また、建設の安全性に対するニーズの高まりが市場の成長に好影響を示しています。建設業界におけるドローン、ロボット、自律走行車の採用は、建設における人工知能（AI）市場の成長を促進しています。企業は、マッピング、建設現場の測量、空撮、建設作業の自動化のために技術を採用しています。これは、建設業界におけるAIの成長にとって、間もなく計り知れない機会を生み出すことになります。

人工知能は、収集した環境データ、建物データ、材料データから教師付き学習システムを提供し、建物を作る最も生産的な方法を特定することで、オーナーや請負業者を支援します。建設事業者は、利用可能なデータに基づいて、住宅を建設するために使用する材料と必要なコストを数秒で建設業者に推奨する人工知能システムを使用しています。しかし、構造化されていない建設環境や未熟な労働力といった要因が、建設における人工知能（AI）市場の成長を妨げています。

建設会社は、設計、品質測定、安全、管理のためにAIの機能を利用しています。設計アプリケーションは機械学習アルゴリズムを作成し、顧客の嗜好に基づいた先読み設計モデルを設計者に提供します。AIアプリケーションは、生成的な設計モデルをプロジェクトと連携させ、予備的なスケジュールと見積もりコストを提供します。AIは、認識、意思決定、プランニングなど、人間の知能が行うのと同様のタスクを行うことができます。

セグメント別の展望

建設における人工知能（AI）市場は、計画・設計分野が大きなシェアを占める。

建設業界におけるAIは、計画・設計分野が大きなシェアを占めると予想されています。計画段階では、AIが建設現場を提案し、貴重なデータや情報を収集して3D地図、設計図、建設計画を作成します。テクノロジーは時間とコストの節約を可能にします。さらに、インフラを効果的に設計、建設、計画、管理する必要のある専門家に洞察を与えます。建築や設計には多くのコストがかかり、建設段階での変更は予算の制約につながります。ワンストップ・ソリューションに対する需要の高まりには、計画段階で設計の欠陥を排除するためにAIを活用するBIM 360も含まれます。

地域別展望

アジア太平洋地域は、建設における人工知能（AI）の普及率が最も高いと予想される

アジア太平洋地域の市場は、主に中国や日本などの国々の不動産会社が機械学習、ディープラーニング、コードフレームワーク、事前構築済みアルゴリズムなどのAIベースのプラットフォームを大量に採用しているため、最も急成長する地域になると予想されます。さらに、快適さを必要とするスマートシティの構築に対する経済圏の要求が高まっていることも、建設業界を活性化させ、企業が建設にAIプロジェクトを採用することを後押ししています。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • 主要戦略分析

第4章 市場セグメンテーション

  • 建設における人工知能（AI）世界市場：エンドユーザー別
    • 住宅
    • 公共インフラ
    • 重建設
    • その他
  • 建設における人工知能（AI）の世界市場：用途別
    • 計画・設計
    • 安全性・効率性
    • 設備
    • モニタリング・メンテナンス

第5章 地域別分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • ALICE Technologies, Inc.
  • Applied Project Experience Pty. Ltd.（Damstra Technology）
  • Assignar, Pty. Ltd.
  • Autodesk Inc.
  • Built Robotics, Inc.
  • Deepomatic
  • Doxel, Inc.
  • eSUB, Inc.
  • IBM Corp.
  • INDUS.AI, Inc.
  • INTSITE, Ltd.
  • Jaroop
  • Kwant.ai
  • Microsoft, Inc.
  • Oracle, Inc.
  • Predii, Inc.
  • Renoworks Software, Inc.
  • SAP SE
  • Smartvid.Io, Inc.
  • Volvo AB
図表

LIST OF TABLES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE IN RESIDENTIAL CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE IN PUBLIC INFRASTRUCTURE CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN HEAVY CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE IN OTHERS CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 7. GLOBAL AI IN PLANNING & DESIGN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL AI IN SAFETY AND EFFICIENCY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL AI IN CONSTRUCTION EQUIPMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL AI IN CONSTRUCTION MONITORING & MAINTENANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 12. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 13. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 14. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 15. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 16. EUROPEAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 20. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY END-USER, 2022-2030 ($ MILLION)
  • 21. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY END-USER, 2022 VS 2030 (%)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY APPLICATION, 2022 VS 2030 (%)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN RESIDENTIAL CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL ARTIFICIAL INTELLIGENCE IN PUBLIC INFRASTRUCTURE CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEAVY CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE IN OTHER CONSTRUCTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL AI IN PLANNING & DESIGN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL AI IN SAFETY AND EFFICIENCY MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL AI IN CONSTRUCTION EQUIPMENT MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL AI IN CONSTRUCTION MONITORING & MAINTENANCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. THE US ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 13. CANADA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 14. UK ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 15. FRANCE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 16. GERMANY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 17. ITALY ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 18. SPAIN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. ROE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. INDIA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. CHINA ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. JAPAN ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2027334

Global Artificial Intelligence (AI) in construction market is anticipated to grow at a CAGR of 38.7% during the forecast period (2023-2030). The factors such as the demand for efficient planning and other processes in construction advanced technology such as artificial intelligence is driving the growth of AI in the construction market. In addition, the rising need for construction safety has shown a positive impact on the growth of the market. The adoption of drones, robots, and autonomous vehicles in the construction industry is driving the growth of AI in construction market. Companies are adopting technologies for mapping, surveying construction sites, aerial imaging, and automating construction operations. This is developing immense opportunities shortly for the growth of AI in the construction industry.

Artificial intelligence aids the owners and contractors by providing a supervised learning system from collected environmental data, building data, and material data to identify the most productive way to create a building. Construction businesses are using an artificial intelligence system that recommends to a builder the materials to be used and costs needed to create the home based on available data in a few seconds. However, factors such as an unstructured construction environment and an unskilled workforce are hampering the growth of AI in the construction market.

Construction companies are using the capabilities of AI for designing, quality measurement, safety, and management. The design applications create a machine learning algorithm to offer designers anticipatory design models that are based on the preference of customers. The AI application joint generative design models with projects to offer a preliminary schedule and estimated cost. AI can do tasks similar to those performed by human intelligence such as recognition, decision-making, and planning.

Segmental Outlook

Global AI in the construction market is segmented based on end-user and application. Based on end-user, the market is segmented into residential, public infrastructure, heavy construction, and others. Based on the application, the market is segmented into planning & design, safety and efficiency, equipment, and monitoring &maintenance.

Planning & Design segment to have a significant share in AI in the construction market

The planning & design segment is anticipated to hold a significant market share in AI in the construction industry. In the planning stage, AI proposed construction sites and gathers valuable data and information to create 3D maps, blueprints, and construction plans. Technology enables to save time and money. Moreover, it gives insights to the professionals that need to effectively design, construct, plan, and manage infrastructure. A lot of costs are associated with architecture and design as making any changes in the construction phase that results in budgetary constraints. Increasing demand for a one-stop solution includes BIM 360 which makes use of AI to eliminate flaws in design at the planning stage.

Regional Outlooks

The global AI in Construction market is further segmented based on geography including North America (the US, and Canada), Europe (Italy, Spain, Germany, France, and Others), Asia-Pacific (India, China, Japan, South Korea, and Others), and the Rest of the World (the Middle East &Africa, and Latin America). The market can be analyzed for a particular region or country level as per the requirement. Among these, the Europe market is anticipated to cater to a prominent growth over the forecast period. However, the Asia-Pacific region is projected to experience considerable growth in the AI in Construction market.

Asia-Pacific will augment with the fastest rate of artificial intelligence in the construction market

The market in Asia-Pacific is expected to be the fastest-growing region mainly owing to the large adoption of AI-based platforms such as machine learning, deep learning, code frameworks and pre-built algorithms by the real estate companies in countries such as China and Japan. Moreover, the increasing demands by the economies to create smart cities which require amenities that in turn results in fueling the construction industry and encourage companies to adopt projects of AI in construction.

Market Players Outlook

The key players of AI in construction market include Autodesk, Inc., IBM Corp., Microsoft Inc., Oracle, Inc., SAP SE, Doxel, Inc., Volvo AB, Smartvid.Io, Inc., Assignar, Inc, and ALICE Technology, Inc. These companies are offering innovative AI-based solutions all across the globe. The market is expected to show significant growth in coming years owing to the increasing number of start-ups supported by investment by tech giants. For instance, in September 2019, INDUS.AI, an advanced construction intelligence solution provider, raises $8 million in series A to bring AI to construction. The investment was led by Millennium New Horizons with additional participation from strategic investors Fundamental and Ground break Ventures.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Company
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global AI in Construction Market by End-User
    • 4.1.1. Residential
    • 4.1.2. Public Infrastructure
    • 4.1.3. Heavy Construction
    • 4.1.4. Others
  • 4.2. Global AI in Construction Market by Application
    • 4.2.1. Planning & Design
    • 4.2.2. Safety and Efficiency
    • 4.2.3. Equipment
    • 4.2.4. Monitoring & Maintenance

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. ALICE Technologies, Inc.
  • 6.2. Applied Project Experience Pty. Ltd. (Damstra Technology)
  • 6.3. Assignar, Pty. Ltd.
  • 6.4. Autodesk Inc.
  • 6.5. Built Robotics, Inc.
  • 6.6. Deepomatic
  • 6.7. Doxel, Inc.
  • 6.8. eSUB, Inc.
  • 6.9. IBM Corp.
  • 6.10. INDUS.AI, Inc.
  • 6.11. INTSITE, Ltd.
  • 6.12. Jaroop
  • 6.13. Kwant.ai
  • 6.14. Microsoft, Inc.
  • 6.15. Oracle, Inc.
  • 6.16. Predii, Inc.
  • 6.17. Renoworks Software, Inc.
  • 6.18. SAP SE
  • 6.19. Smartvid.Io, Inc.
  • 6.20. Volvo AB