表紙:建設市場における人工知能 (AI) の世界市場予測 2023年:マシンラーニング&ディープラーニング、自然言語処理 (NLP)、ソリューション (設計&プランニング・収益予測・仮想アシスタント・需要予測・予知保全)、サービス
市場調査レポート
商品コード
639208

建設市場における人工知能 (AI) の世界市場予測 2023年:マシンラーニング&ディープラーニング、自然言語処理 (NLP)、ソリューション (設計&プランニング・収益予測・仮想アシスタント・需要予測・予知保全)、サービス

Artificial Intelligence (AI) in Construction Market by Technology, Stage, Component, Application, Deployment Type, Organization Size, Industry Type (Residential, Institutional Commercial, and Heavy Construction), and Region - Global Forecast to 2023

出版日: | 発行: MarketsandMarkets | ページ情報: 英文 151 Pages | 納期: 即納可能 即納可能とは

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=111.41円
建設市場における人工知能 (AI) の世界市場予測 2023年:マシンラーニング&ディープラーニング、自然言語処理 (NLP)、ソリューション (設計&プランニング・収益予測・仮想アシスタント・需要予測・予知保全)、サービス
出版日: 2018年05月16日
発行: MarketsandMarkets
ページ情報: 英文 151 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 図表
  • 目次
概要

建設市場における人工知能 (AI) の世界市場は、2018年の4億720万米ドルから、2023年までに18億3,100万米ドルに達すると予測され、期間中は35.1%のCAGR (年間複合成長率) が見込まれています。AI型ソリューション・プラットフォームの需要増大、建設現場におけるより安全な方法に対するニーズ、および製造コストを削減する建設ソリューション・サービスにおけるAIの能力は、建設市場におけるAIの成長を促進すると予測されています。技術的なR&Dへの投資が少ないことは、同市場の成長を抑制する見込みです。

当レポートでは、世界の建設市場における人工知能 (AI) について分析し、市場の基本構造や最新情勢、主な市場促進・阻害要因、市場動向の見通し、各セグメント・地域別の詳細動向、市場競争の状態、主要企業のプロファイルなどを調査しております。

FIGURE 12 THE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET

第1章 イントロダクション

第2章 分析手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • 建設市場における人工知能 (AI) の魅力的な市場機会
  • 建設市場における人工知能 (AI) :3大アプリケーション・地域
  • 建設市場における人工知能 (AI) の市場シェア:アプリケーション別
  • 予測期間中の建設ステージ別による成長率

第5章 市場概要

  • イントロダクション
    • 促進要因
    • 抑制要因
    • 市場機会
    • 課題
  • 利用例
    • 利用例1:コマツ・NVIDIA
    • 利用例2:AL-SHERAA IN DUBAI
    • 利用例3:CHINA-LINUX FOUNDATION
    • 利用例4:ZANKER RECYCLING

第6章 建設市場における人工知能 (AI) 市場:技術別

  • イントロダクション
  • マシンラーニング・ディープラーニング
  • 自然言語処理 (NLP)

第7章 建設市場における人工知能 (AI) 市場:ステージ別

  • イントロダクション
  • 建設前
  • 建設中
  • 建設後

第8章 建設市場における人工知能 (AI) 市場:コンポーネント別

  • イントロダクション
  • ソリューション
    • 設計・プランニング
    • 収益予測
    • 仮想アシスタント
    • 需要予測
    • 予知保全
    • その他
  • サービス
    • 統合・展開
    • トレーニング・コンサルティング
    • サポート・メンテナンス

第9章 建設市場における人工知能 (AI) 市場:アプリケーション別

  • イントロダクション
  • プロジェクト管理
  • フィールド管理
  • リスク管理
  • スケジュール管理
  • サプライチェーン管理
  • その他

第10章 建設市場における人工知能 (AI) 市場:展開タイプ別

  • イントロダクション
  • クラウド
  • オンプレミス

第11章 建設市場における人工知能 (AI) 市場:組織規模別

  • イントロダクション
  • 中小企業
  • 大企業

第12章 建設市場における人工知能 (AI) 市場:産業タイプ別

  • イントロダクション
  • 住宅
  • 企業・商業
  • 重量構造物
  • その他

第13章 建設市場における人工知能 (AI) 市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋
  • 中東・アフリカ

第14章 競争環境

  • 概要
  • 競合状況・動向

第15章 企業プロファイル

  • IBM
  • MICROSOFT
  • ORACLE
  • SAP
  • ALICE TECHNOLOGIES
  • ESUB
  • SMARTVID.IO
  • DARKTRACE
  • AURORA COMPUTER SERVICES
  • AUTODESK
  • JAROOP
  • LILI.AI
  • PREDII
  • ASSIGNAR
  • DEEPOMATIC
  • COINS GLOBAL
  • BEYOND LIMITS
  • DOXEL
  • ASKPORTER
  • PLANGRID
  • RENOWORKS SOFTWARE
  • BUILDING SYSTEM PLANNING
  • BENTLEY SYSTEMS

第16章 付録

図表

LIST OF TABLES

  • TABLE 1: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION)
  • TABLE 2: MACHINE LEARNING AND DEEP LEARNING: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 3: NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 4: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION)
  • TABLE 5: PRE-CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 6: CONSTRUCTION STAGE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 7: POST-CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 8: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION)
  • TABLE 9: SOLUTIONS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 10: SOLUTIONS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TYPE, 2018-2023 (USD MILLION)
  • TABLE 11: DESIGN AND PLANNING MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 12: REVENUE ESTIMATION MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 13: VIRTUAL ASSISTANT MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 14: DEMAND FORECASTING MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 15: PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 16: OTHERS MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 17: SERVICES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TYPE, 2015-2023 (USD MILLION)
  • TABLE 18: INTEGRATION AND DEPLOYMENT MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 19: TRAINING AND CONSULTING MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 20: SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015-2023 (USD MILLION)
  • TABLE 21: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 22: PROJECT MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 23: FIELD MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 24: RISK MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 25: SCHEDULE MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 26: SUPPLY CHAIN MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 27: OTHERS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 28: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 29: CLOUD: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 30: ON-PREMISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 31: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 32: SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 33: LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 34: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION)
  • TABLE 35: RESIDENTIAL: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 36: INSTITUTIONAL COMMERCIALS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 37: HEAVY CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 38: OTHERS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 39: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 40: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION)
  • TABLE 41: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION)
  • TABLE 42: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 43: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, 2016-2023 (USD MILLION)
  • TABLE 44: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 45: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 46: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 47: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 48: NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION)
  • TABLE 49: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION)
  • TABLE 50: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION)
  • TABLE 51: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 52: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, 2016-2023 (USD MILLION)
  • TABLE 53: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 54: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 55: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 56: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 57: EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION)
  • TABLE 58: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION)
  • TABLE 59: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION)
  • TABLE 60: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 61: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, 2016-2023 (USD MILLION)
  • TABLE 62: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 63: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 64: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 65: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 66: ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION)
  • TABLE 67: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION)
  • TABLE 68: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION)
  • TABLE 69: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 70: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, 2016-2023 (USD MILLION)
  • TABLE 71: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 72: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 73: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 74: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 75: MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION)
  • TABLE 76: NEW PRODUCT LAUNCHES, 2016-2018
  • TABLE 77: AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS, 2016-2017
  • TABLE 78: MERGERS AND ACQUISITIONS, 2016-2017

LIST OF FIGURES

  • FIGURE 1: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: MARKET SEGMENTATION
  • FIGURE 2: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: RESEARCH DESIGN
  • FIGURE 3: BREAKDOWN OF PRIMARIES: BY COMPANY, DESIGNATION, AND REGION
  • FIGURE 4: DATA TRIANGULATION
  • FIGURE 5: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 7: RESEARCH ASSUMPTIONS
  • FIGURE 8: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY SOLUTION (2018-2023)
  • FIGURE 9: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY APPLICATION (2018-2023)
  • FIGURE 10: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY STAGE (2018-2023)
  • FIGURE 11: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY REGION
  • FIGURE 12: PROLIFERATION IN DATA GENERATION AND NEED FOR SAFETY AT JOBSITES ARE EXPECTED TO PROPEL THE ADOPTION OF AI IN CONSTRUCTION SOLUTIONS AND SERVICES
  • FIGURE 13: PROJECT MANAGEMENT APPLICATION AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
  • FIGURE 14: PROJECT MANAGEMENT APPLICATION IS EXPECTED TO HAVE THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD
  • FIGURE 15: CONSTRUCTION STAGE IS EXPECTED TO CREATE OPPORTUNITIES FOR AI IN CONSTRUCTION VENDORS DURING THE FORECAST PERIOD
  • FIGURE 16: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 17: NATURAL LANGUAGE PROCESSING TECHNOLOGY IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: CONSTRUCTION STAGE IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: TRAINING AND CONSULTING SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: FIELD MANAGEMENT APPLICATION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 22: CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: RESIDENTIAL SEGMENT IS EXPECTED TO GROW AT THE FASTEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 25: ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: ASIA PACIFIC IS EXPECTED TO BE THE EMERGING REGION IN THE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET
  • FIGURE 27: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 28: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 29: COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2015 TO 2017
  • FIGURE 30: IBM: COMPANY SNAPSHOT
  • FIGURE 31: IBM: SWOT ANALYSIS
  • FIGURE 32: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 33: MICROSOFT: SWOT ANALYSIS
  • FIGURE 34: ORACLE: COMPANY SNAPSHOT
  • FIGURE 35: ORACLE: SWOT ANALYSIS
  • FIGURE 36: SAP: COMPANY SNAPSHOT
  • FIGURE 37: SAP: SWOT ANALYSIS
目次
Product Code: TC 6291

The AI in construction market is projected to grow at a CAGR of 35.1% during the forecast period

MarketsandMarkets expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 million in 2018 to USD 1,831.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period. The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capability of AI in construction solutions and services for reducing the production costs are expected to drive the growth of the AI in construction market. Few investments made in technological Research and Development (R&D) is expected to act as the major restraint for the market growth.

The cloud deployment type is expected to have the larger market share during the forecast period

In the AI in construction market, the cloud deployment type offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. AI in construction solution providers are focusing on deploying robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment type. Additionally, the cloud deployment type is user-friendly, cost-effective, and easy to access. However, at present, many construction companies are still opting for on-premises-based AI in construction solutions.

Among technologies, the machine learning and deep learning segment is expected to have the larger market size during the forecast period

The AI in construction market by technology has been segmented into machine learning and deep learning; and Natural Language Processing (NLP). Among these technologies, the machine learning and deep learning segment is expected to have the larger market size.

The machine learning and deep learning technology offers the most robust methodology to tap into the area of context that involves human-computer interactions and provides close predictions based on the historical data. This technology is useful in the construction industry in terms of automating business functions.

North America is expected to have the largest market size in the AI in construction market during the forecast period

Among regions, North America is expected to have the largest market size in the AI in construction market during the forecast period. The North American region has always stayed ahead in technological adoption and is a hub for many technically advanced construction companies. These companies have made huge investments in the AI in construction market, and several vendors have evolved to cater to the rapidly growing market. Considerable growth in the market size is expected in the region during the forecast period. The major initiatives taken for the growth of the AI in construction market belong to this region. Organizations in this region make the best use of technologies to eliminate the hassles in time-consuming tasks and ease their functioning and decision-making capabilities.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in construction market to arrive at the AI in construction market size.

  • By Company Type: Tier 1: 35%, Tier 2: 39%, and Tier 3: 26%
  • By Designation: C-Level: 55%, Director Level: 40%, Others: 5%
  • By Region: North America: 38%, Europe: 40%, APAC: 21%, and Rest of the World (RoW): 1%

The report includes the study of the key players offering AI in construction solutions and services. IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), Smartvid.io (US), Aurora Computer Services (England), Autodesk (US), and Building System Planning (US) have been profiled in the report. The report includes an in-depth competitive analysis of these key AI in construction market players, along with their company profiles that include business overviews, product offerings, recent developments, and market strategies.

Research Coverage:

The AI in construction market has been segmented on the basis of technologies, stages, components (solutions and services), applications, deployment types, organization size, industry types, and regions. The solutions segment includes design and planning, revenue estimation, virtual assistant, demand forecasting, predictive maintenance, and others (root cause analysis and customer/buyer analysis), whereas the services segment comprises integration and deployment, training and consulting, and support and maintenance. The deployment types covered in this report are cloud and on-premises. The organization size includes Small and Medium-sized Enterprises (SMEs) and large enterprises. The application segment covers project management, field management, risk management, schedule management, supply chain management, and others (equipment and construction materials management, resource management, subcontractor management, and cost management). The industry types include residential, institutional commercials, heavy construction, and others (light industrial construction and specialized industrial construction). Finally, on the basis of regions, the AI in construction market has been segmented into North America, Europe, Asia Pacific (APAC), and Middle East and Africa (MEA.

The report would help market leaders and new entrants in the AI in construction market in the following ways:

  • 1. The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximation of revenue numbers for the overall market and its subsegments. The market numbers are further split across various industry types and regions.
  • 2. The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
  • 3. The report helps in understanding the competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. MARKET SCOPE
  • 1.4. YEARS CONSIDERED FOR THE STUDY
  • 1.5. CURRENCY
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Breakdown of primaries
      • 2.1.2.2. Source: Industry Experts Key industry insights
  • 2.2. MARKET SIZE ESTIMATION
    • 2.2.1. BOTTOM-UP APPROACH
    • 2.2.2. TOP-DOWN APPROACH
  • 2.3. RESEARCH ASSUMPTIONS
  • 2.4. LIMITATIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE MARKET OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET
  • 4.2. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: TOP 3 APPLICATIONS AND REGIONS
  • 4.3. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, MARKET SHARE BY APPLICATION (2018 VS. 2023)
  • 4.4. GROWTH RATE OF CONSTRUCTION STAGES DURING THE FORECAST PERIOD

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
    • 5.1.1. DRIVERS
      • 5.1.1.1. Need for more safety measures at construction sites
      • 5.1.1.2. Need to reduce production costs
    • 5.1.2. RESTRAINTS
      • 5.1.2.1. Lesser R&D investments in technology
    • 5.1.3. OPPORTUNITIES
      • 5.1.3.1. High demand for integrated AI in construction solutions
      • 5.1.3.2. Increasing need for intelligent business process
    • 5.1.4. CHALLENGES
      • 5.1.4.1. Monitoring the highly unstructured jobsite environments
      • 5.1.4.2. Scarcity of skilled employees and workers
  • 5.2. USE CASES
    • 5.2.1. USE CASE 1: KOMATSU AND NVIDIA
    • 5.2.2. USE CASE 2: AL-SHERAA IN DUBAI
    • 5.2.3. USE CASE 3: CHINA-LINUX FOUNDATION
    • 5.2.4. USE CASE 4: ZANKER RECYCLING

6. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY TECHNOLOGY

  • 6.1. INTRODUCTION
  • 6.2. MACHINE LEARNING AND DEEP LEARNING
  • 6.3. NATURAL LANGUAGE PROCESSING

7. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY STAGE

  • 7.1. INTRODUCTION
  • 7.2. PRE-CONSTRUCTION
  • 7.3. CONSTRUCTION STAGE
  • 7.4. POST-CONSTRUCTION

8. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COMPONENT

  • 8.1. INTRODUCTION
  • 8.2. SOLUTIONS
    • 8.2.1. DESIGN AND PLANNING
    • 8.2.2. REVENUE ESTIMATION
    • 8.2.3. VIRTUAL ASSISTANT
    • 8.2.4. DEMAND FORECASTING
    • 8.2.5. PREDICTIVE MAINTENANCE
    • 8.2.6. OTHERS
  • 8.3. SERVICES
    • 8.3.1. INTEGRATION AND DEPLOYMENT
    • 8.3.2. TRAINING AND CONSULTING
    • 8.3.3. SUPPORT AND MAINTENANCE

9. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY APPLICATION

  • 9.1. INTRODUCTION
  • 9.2. PROJECT MANAGEMENT
  • 9.3. FIELD MANAGEMENT
  • 9.4. RISK MANAGEMENT
  • 9.5. SCHEDULE MANAGEMENT
  • 9.6. SUPPLY CHAIN MANAGEMENT
  • 9.7. OTHERS

10. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY DEPLOYMENT TYPE

  • 10.1. INTRODUCTION
  • 10.2. CLOUD
  • 10.3. ON-PREMISES

11. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY ORGANIZATION SIZE

  • 11.1. INTRODUCTION
  • 11.2. SMALL AND MEDIUM-SIZED ENTERPRISES
  • 11.3. LARGE ENTERPRISES

12. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE

  • 12.1. INTRODUCTION
  • 12.2. RESIDENTIAL
  • 12.3. INSTITUTIONAL COMMERCIALS
  • 12.4. HEAVY CONSTRUCTION
  • 12.5. OTHERS

13. ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY REGION

  • 13.1. INTRODUCTION
  • 13.2. NORTH AMERICA
  • 13.3. EUROPE
  • 13.4. ASIA PACIFIC
  • 13.5. MIDDLE EAST AND AFRICA

14. COMPETITIVE LANDSCAPE

  • 14.1. OVERVIEW
  • 14.2. COMPETITIVE SITUATION AND TRENDS
    • 14.2.1. NEW PRODUCT LAUNCHES
    • 14.2.2. AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS
    • 14.2.3. MERGERS AND ACQUISITIONS

15. COMPANY PROFILES (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 15.1. IBM
  • 15.2. MICROSOFT
  • 15.3. ORACLE
  • 15.4. SAP
  • 15.5. ALICE TECHNOLOGIES
  • 15.6. ESUB
  • 15.7. SMARTVID.IO
  • 15.8. DARKTRACE
  • 15.9. AURORA COMPUTER SERVICES
  • 15.10. AUTODESK
  • 15.11. JAROOP
  • 15.12. LILI.AI
  • 15.13. PREDII
  • 15.14. ASSIGNAR
  • 15.15. DEEPOMATIC
  • 15.16. COINS GLOBAL
  • 15.17. BEYOND LIMITS
  • 15.18. DOXEL
  • 15.19. ASKPORTER
  • 15.20. PLANGRID
  • 15.21. RENOWORKS SOFTWARE
  • 15.22. BUILDING SYSTEM PLANNING
  • 15.23. BENTLEY SYSTEMS

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

16. APPENDIX

  • 16.1. INSIGHTS OF INDUSTRY EXPERTS
  • 16.2. DISCUSSION GUIDE
  • 16.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 16.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 16.5. RELATED REPORTS
  • 16.6. AUTHOR DETAILS