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建設業の人工知能(AI)市場:技術毎、ステージ毎、コンポーネント毎、用途毎、採用タイプ毎、企業規模毎、産業タイプ毎(住宅、商業施設、重量構造物)、地域毎 - 2023年までの世界市場予測

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

 

出版社 出版年月電子版価格 ページ数図表数
MarketsandMarkets
マーケッツアンドマーケッツ
2018年5月US$5,650
シングルユーザライセンス
151 115

サマリー

幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の建設業の人工知能(AI)市場に関する調査レポートです。

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.



目次

1 INTRODUCTION 15
1.1 OBJECTIVES OF THE STUDY 15
1.2 MARKET DEFINITION 15
1.3 MARKET SCOPE 16
1.4 YEARS CONSIDERED FOR THE STUDY 17
1.5 CURRENCY 17
1.6 STAKEHOLDERS 17

2 RESEARCH METHODOLOGY 18
2.1 RESEARCH DATA 18
2.1.1 SECONDARY DATA 19
2.1.2 PRIMARY DATA 19
2.1.2.1 Breakdown of primaries 20
2.1.2.2 Source: Industry Experts Key industry insights 20
2.2 MARKET SIZE ESTIMATION 22
2.2.1 BOTTOM-UP APPROACH 22
2.2.2 TOP-DOWN APPROACH 23
2.3 RESEARCH ASSUMPTIONS 24
2.4 LIMITATIONS 24

3 EXECUTIVE SUMMARY 25

4 PREMIUM INSIGHTS 29
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET 29
4.2 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: TOP 3 APPLICATIONS AND REGIONS 30
4.3 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, MARKET SHARE BY APPLICATION (2018 VS. 2023) 31
4.4 GROWTH RATE OF CONSTRUCTION STAGES DURING THE FORECAST PERIOD 31

5 MARKET OVERVIEW 32
5.1 INTRODUCTION 32
5.1.1 DRIVERS 33
5.1.1.1 Need for more safety measures at construction sites 33
5.1.1.2 Need to reduce production costs 34
5.1.2 RESTRAINTS 34
5.1.2.1 Lesser R&D investments in technology 34
5.1.3 OPPORTUNITIES 34
5.1.3.1 High demand for integrated AI in construction solutions 34
5.1.3.2 Increasing need for intelligent business process 34
5.1.4 CHALLENGES 35
5.1.4.1 Monitoring the highly unstructured jobsite environments 35
5.1.4.2 Scarcity of skilled employees and workers 35
5.2 USE CASES 36
5.2.1 USE CASE 1: KOMATSU AND NVIDIA 36
5.2.2 USE CASE 2: AL-SHERAA IN DUBAI 36
5.2.3 USE CASE 3: CHINA-LINUX FOUNDATION 36
5.2.4 USE CASE 4: ZANKER RECYCLING 36

6 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY TECHNOLOGY 37
6.1 INTRODUCTION 38
6.2 MACHINE LEARNING AND DEEP LEARNING 39
6.3 NATURAL LANGUAGE PROCESSING 40

7 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY STAGE 42
7.1 INTRODUCTION 43
7.2 PRE-CONSTRUCTION 44
7.3 CONSTRUCTION STAGE 44
7.4 POST-CONSTRUCTION 45

8 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY COMPONENT 46
8.1 INTRODUCTION 47
8.2 SOLUTIONS 48
8.2.1 DESIGN AND PLANNING 49
8.2.2 REVENUE ESTIMATION 50
8.2.3 VIRTUAL ASSISTANT 50
8.2.4 DEMAND FORECASTING 51
8.2.5 PREDICTIVE MAINTENANCE 52
8.2.6 OTHERS 52
8.3 SERVICES 53
8.3.1 INTEGRATION AND DEPLOYMENT 54
8.3.2 TRAINING AND CONSULTING 55
8.3.3 SUPPORT AND MAINTENANCE 55
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9 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY APPLICATION 57
9.1 INTRODUCTION 58
9.2 PROJECT MANAGEMENT 59
9.3 FIELD MANAGEMENT 59
9.4 RISK MANAGEMENT 60
9.5 SCHEDULE MANAGEMENT 61
9.6 SUPPLY CHAIN MANAGEMENT 61
9.7 OTHERS 62

10 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,
BY DEPLOYMENT TYPE 63
10.1 INTRODUCTION 64
10.2 CLOUD 65
10.3 ON-PREMISES 66

11 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET,
BY ORGANIZATION SIZE 67
11.1 INTRODUCTION 68
11.2 SMALL AND MEDIUM-SIZED ENTERPRISES 69
11.3 LARGE ENTERPRISES 70

12 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY INDUSTRY TYPE 71
12.1 INTRODUCTION 72
12.2 RESIDENTIAL 73
12.3 INSTITUTIONAL COMMERCIALS 73
12.4 HEAVY CONSTRUCTION 74

12.5 OTHERS 75
13 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET, BY REGION 76
13.1 INTRODUCTION 77
13.2 NORTH AMERICA 79
13.3 EUROPE 85
13.4 ASIA PACIFIC 90
13.5 MIDDLE EAST AND AFRICA 96
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14 COMPETITIVE LANDSCAPE 101
14.1 OVERVIEW 101
14.2 COMPETITIVE SITUATION AND TRENDS 102
14.2.1 NEW PRODUCT LAUNCHES 102
14.2.2 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS 104
14.2.3 MERGERS AND ACQUISITIONS 105

15 COMPANY PROFILES 106
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
15.1 IBM 106
15.2 MICROSOFT 110
15.3 ORACLE 114
15.4 SAP 118
15.5 ALICE TECHNOLOGIES 121
15.6 ESUB 122
15.7 SMARTVID.IO 123
15.8 DARKTRACE 124
15.9 AURORA COMPUTER SERVICES 125
15.10 AUTODESK 126
15.11 JAROOP 127
15.12 LILI.AI 128
15.13 PREDII 129
15.14 ASSIGNAR 130
15.15 DEEPOMATIC 131
15.16 COINS GLOBAL 132
15.17 BEYOND LIMITS 133
15.18 DOXEL 134
15.19 ASKPORTER 135
15.20 PLANGRID 136
15.21 RENOWORKS SOFTWARE 137
15.22 BUILDING SYSTEM PLANNING 138
15.23 BENTLEY SYSTEMS 139
*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 140
16.1 INSIGHTS OF INDUSTRY EXPERTS 140
16.2 DISCUSSION GUIDE 141
16.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 147
16.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 149
16.5 RELATED REPORTS 149
16.6 AUTHOR DETAILS 150

 

LIST OF TABLES

TABLE 1 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION) 38
TABLE 2 MACHINE LEARNING AND DEEP LEARNING: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 40
TABLE 3 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 41
TABLE 4 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE,
2016-2023 (USD MILLION) 43
TABLE 5 PRE-CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 44
TABLE 6 CONSTRUCTION STAGE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 44
TABLE 7 POST-CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 45
TABLE 8 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2018-2023 (USD MILLION) 47
TABLE 9 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY REGION, 2018-2023 (USD MILLION) 48
TABLE 10 SOLUTIONS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY TYPE, 2018-2023 (USD MILLION) 49
TABLE 11 DESIGN AND PLANNING MARKET SIZE, BY REGION, 2018-2023 (USD MILLION) 49
TABLE 12 REVENUE ESTIMATION MARKET SIZE, BY REGION, 2015-2023 (USD MILLION) 50
TABLE 13 VIRTUAL ASSISTANT MARKET SIZE, BY REGION, 2015-2023 (USD MILLION) 51
TABLE 14 DEMAND FORECASTING MARKET SIZE, BY REGION, 2015-2023 (USD MILLION) 51
TABLE 15 PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2015-2023 (USD MILLION) 52
TABLE 16 OTHERS MARKET SIZE, BY REGION, 2015-2023 (USD MILLION) 53
TABLE 17 SERVICES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY TYPE, 2015-2023 (USD MILLION) 54
TABLE 18 INTEGRATION AND DEPLOYMENT MARKET SIZE, BY REGION,
2015-2023 (USD MILLION) 54
TABLE 19 TRAINING AND CONSULTING MARKET SIZE, BY REGION,
2015-2023 (USD MILLION) 55
TABLE 20 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION,
2015-2023 (USD MILLION) 56
TABLE 21 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION) 58
TABLE 22 PROJECT MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 59
TABLE 23 FIELD MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 60
TABLE 24 RISK MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 60
TABLE 25 SCHEDULE MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 61
TABLE 26 SUPPLY CHAIN MANAGEMENT: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 62
TABLE 27 OTHERS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 62
TABLE 28 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION) 64
TABLE 29 CLOUD: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 65
TABLE 30 ON-PREMISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY REGION, 2016-2023 (USD MILLION) 66
TABLE 31 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION) 68
TABLE 32 SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 69
TABLE 33 LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 70
TABLE 34 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION) 72
TABLE 35 RESIDENTIAL: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY REGION, 2016-2023 (USD MILLION) 73
TABLE 36 INSTITUTIONAL COMMERCIALS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 74
TABLE 37 HEAVY CONSTRUCTION: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2018-2023 (USD MILLION) 74
TABLE 38 OTHERS: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION, 2016-2023 (USD MILLION) 75
TABLE 39 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY REGION,
2016-2023 (USD MILLION) 78
TABLE 40 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY TECHNOLOGY, 2016-2023 (USD MILLION) 80
TABLE 41 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY STAGE, 2016-2023 (USD MILLION) 81
TABLE 42 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY COMPONENT, 2016-2023 (USD MILLION) 81
TABLE 43 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY SOLUTION, 2016-2023 (USD MILLION) 82
TABLE 44 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
 BY SERVICE, 2016-2023 (USD MILLION) 82
TABLE 45 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY APPLICATION, 2016-2023 (USD MILLION) 83
TABLE 46 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION) 83
TABLE 47 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY ORGANIZATION SIZE, 2016-2023 (USD MILLION) 84
TABLE 48 NORTH AMERICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY INDUSTRY TYPE, 2016-2023 (USD MILLION) 84
TABLE 49 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY TECHNOLOGY, 2016-2023 (USD MILLION) 85
TABLE 50 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY STAGE, 2016-2023 (USD MILLION) 86
TABLE 51 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY COMPONENT, 2016-2023 (USD MILLION) 86
TABLE 52 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY SOLUTION, 2016-2023 (USD MILLION) 87
TABLE 53 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY SERVICE, 2016-2023 (USD MILLION) 87
TABLE 54 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY APPLICATION, 2016-2023 (USD MILLION) 88
TABLE 55 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION) 88
TABLE 56 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY ORGANIZATION SIZE, 2016-2023 (USD MILLION) 89
TABLE 57 EUROPE: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY INDUSTRY TYPE, 2016-2023 (USD MILLION) 89
TABLE 58 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY TECHNOLOGY, 2016-2023 (USD MILLION) 92
TABLE 59 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY STAGE, 2016-2023 (USD MILLION) 92
TABLE 60 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY COMPONENT, 2016-2023 (USD MILLION) 92
TABLE 61 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY SOLUTION, 2016-2023 (USD MILLION) 93
TABLE 62 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY SERVICE, 2016-2023 (USD MILLION) 93
TABLE 63 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY APPLICATION, 2016-2023 (USD MILLION) 94
TABLE 64 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
 BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION) 94
TABLE 65 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY ORGANIZATION SIZE, 2016-2023 (USD MILLION) 95
TABLE 66 ASIA PACIFIC: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE,
BY INDUSTRY TYPE, 2016-2023 (USD MILLION) 95
TABLE 67 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY TECHNOLOGY, 2016-2023 (USD MILLION) 96
TABLE 68 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY STAGE, 2016-2023 (USD MILLION) 96
TABLE 69 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION) 97
TABLE 70 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SOLUTION, 2016-2023 (USD MILLION) 97
TABLE 71 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION) 98
TABLE 72 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION) 98
TABLE 73 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION) 99
TABLE 74 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION) 99
TABLE 75 MIDDLE EAST AND AFRICA: ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SIZE, BY INDUSTRY TYPE, 2016-2023 (USD MILLION) 100
TABLE 76 NEW PRODUCT LAUNCHES, 2016-2018 102
TABLE 77 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS, 2016-2017 104
TABLE 78 MERGERS AND ACQUISITIONS, 2016-2017 105
 

LIST OF FIGURES

FIGURE 1 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: MARKET SEGMENTATION 16
FIGURE 2 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET: RESEARCH DESIGN 18
FIGURE 3 BREAKDOWN OF PRIMARIES: BY COMPANY, DESIGNATION, AND REGION 20
FIGURE 4 DATA TRIANGULATION 21
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 22
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 23
FIGURE 7 RESEARCH ASSUMPTIONS 24
FIGURE 8 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY SOLUTION (2018-2023) 27
FIGURE 9 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY APPLICATION (2018-2023) 27
FIGURE 10 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY STAGE (2018-2023) 28
FIGURE 11 ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET SNAPSHOT, BY REGION 28
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 29
FIGURE 13 PROJECT MANAGEMENT APPLICATION AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017 30
FIGURE 14 PROJECT MANAGEMENT APPLICATION IS EXPECTED TO HAVE THE LARGEST MARKET SHARE DURING THE FORECAST PERIOD 31
FIGURE 15 CONSTRUCTION STAGE IS EXPECTED TO CREATE OPPORTUNITIES FOR AI IN CONSTRUCTION VENDORS DURING THE FORECAST PERIOD 31
FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 33
FIGURE 17 NATURAL LANGUAGE PROCESSING TECHNOLOGY IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 38
FIGURE 18 CONSTRUCTION STAGE IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 43
FIGURE 19 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 47
FIGURE 20 TRAINING AND CONSULTING SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 53
FIGURE 21 FIELD MANAGEMENT APPLICATION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 58
FIGURE 22 CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 64
FIGURE 23 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 68
FIGURE 24 RESIDENTIAL SEGMENT IS EXPECTED TO GROW AT THE FASTEST CAGR DURING THE FORECAST PERIOD 72
FIGURE 25 ASIA PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 77
FIGURE 26 ASIA PACIFIC IS EXPECTED TO BE THE EMERGING REGION IN THE ARTIFICIAL INTELLIGENCE IN CONSTRUCTION MARKET 78
FIGURE 27 NORTH AMERICA: MARKET SNAPSHOT 80
FIGURE 28 ASIA PACIFIC: MARKET SNAPSHOT 91
FIGURE 29 COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2015 TO 2017 101
FIGURE 30 IBM: COMPANY SNAPSHOT 106
FIGURE 31 IBM: SWOT ANALYSIS 108
FIGURE 32 MICROSOFT: COMPANY SNAPSHOT 110
FIGURE 33 MICROSOFT: SWOT ANALYSIS 112
FIGURE 34 ORACLE: COMPANY SNAPSHOT 114
FIGURE 35 ORACLE: SWOT ANALYSIS 116
FIGURE 36 SAP: COMPANY SNAPSHOT 118
FIGURE 37 SAP: SWOT ANALYSIS 120

 

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[日本語訳](抄訳)

建設業の人工知能(AI)市場は2023年に18億3100万ドルに

2018年5月16日

幅広い市場を対象としている調査会社マーケッツアンドマーケッツ(MarketsandMarkets)の調査レポート「建設業の人工知能(AI)市場:技術毎、ステージ毎、コンポーネント毎、用途毎、採用タイプ毎、企業規模毎、産業タイプ毎(住宅、商業施設、重量構造物)、地域毎 - 2023年までの世界市場予測」は、建設業の人工知能(AI)の市場規模は、2018年の4億702万ドルから年平均成長率(CAGR)35.1%で成長して、2023年に18億3100万ドルに達するだろうと報告している。この市場成長の主な要因は、AIベースのソリューションやプラットフォームの需要増加、建設現場での安全対策の必要性、AIベースソリューションによる生産コストの削減の可能性などであるだろう。

建設業の人工知能では、自然言語処理技術(NLP)は特定の製品やサービスに対する顧客の反応などの顧客関連のデータを収集、分析、視覚化するために使用される。NLPは、会話や記述の形態の人間の言語を分析し理解する人間とコンピュータの対話技術である。さらに読解や記述などの人間のコミュニケーションにおける言語を機械に理解させ、人間との基本的・高度な対話を定型化するものである。多くの企業が専用や公共のクラウドに移行しているため、建設業の人工知能のプラットフォームプロバイダは顧客向けに強固なクラウドベースの建設業の人工知能ソリューションの開発に集中している。
 

[プレスリリース原文]

AI in Construction Market worth 1,831.0 Million USD by 2023


May 16, 2018

The report "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", MarketsandMarkets expects the global 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 ability of the AI-based solutions to reduce the production costs are expected to drive the growth of the AI in construction market.

The Natural Language Processing (NLP) technology is expected to grow at a higher CAGR during the forecast period

In the AI in construction industry, the NLP technology is used to collect, analyze, and visualize customer-related data, such as customers’ response to particular products and services. NLP is a human-to-computer interaction technology that analyzes and understands both the spoken and written forms of human languages. Moreover, it assists machines in understanding the languages in which humans communicate (both reading and writing) and formulating basic and advanced levels of interactions with humans. AI in construction platform providers are concentrating on developing strong cloud-based AI in construction solutions for their clients, as many businesses have migrated to either the private or the public cloud.

Among industry types, the residential segment is expected to have the largest market size and grow at the highest CAGR during the forecast period

On the basis of industry types, the AI in construction market has been segmented into residential, institutional commercials, heavy construction, and others (light industrial construction and specialized industrial construction). Among these industry types, the residential segment is expected to have the largest market size. The increasing demand for luxurious and high-rise residential buildings is expected to encourage the construction companies to adopt AI in construction solutions and services, and reduce the duration and cost of construction, while also being able to increase the Return on Investment (RoI).

Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period

In the APAC region, the construction companies are investing in AI technologies. The APAC region has great scope for growth in terms of the AI in construction market. The construction companies in the rapidly growing economies of the APAC region, such as China, Japan, and Singapore, are using AI tools via AI platforms across different industries to provide effective solutions. The growth of the AI in construction market in the APAC region can be attributed to the rapid technological advancements in AI in construction solutions and services among the developing countries.

The AI in construction market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies. The key AI in construction  vendors include 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).

 

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