Global Artificial Intelligence in Construction Industry: Types, Applications, Market Players, Regional Growth Analysis, and Future Scenarios (2024 - 2031)

In the "Artificial Intelligence in Construction market", the main focus is on keeping costs low and getting the most out of resources. Market research provides details on what people want (demand) and what's available (supply). This market is expected to grow by 5.4%% each year, from 2024 to 2031.

Artificial Intelligence in Construction Market Outlook

Artificial Intelligence in Construction refers to the application of advanced technologies like machine learning, computer vision, and predictive analytics in the construction industry to streamline processes, improve efficiency, and enhance decision-making. AI in construction can help with tasks such as project planning, design optimization, risk management, and equipment maintenance, among others.

The future of Artificial Intelligence in Construction looks promising, with a projected CAGR of % during the forecasted period (2024-2031). The current outlook of the market is positive, with increasing adoption of AI technologies by construction companies to drive innovation and improve project outcomes. The market forecast for AI in construction indicates steady growth, driven by factors such as the need for cost reduction, increased productivity, and improved safety in construction projects.

Some of the latest market trends in Artificial Intelligence in Construction include the use of drones for site surveys and inspections, AI-powered equipment monitoring systems, and automated project management tools. These trends are expected to continue shaping the market landscape and drive further adoption of AI technologies in the construction industry.

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Artificial Intelligence in Construction Market Segmentation

The Artificial Intelligence in Construction Market Analysis by types is segmented into:

• Cloud
• On-premises

Artificial Intelligence in Construction Market Types refer to the different deployment methods used for AI technology in the construction industry. Cloud-based solutions involve storing and processing data on remote servers accessed via the internet, offering flexibility and scalability. On-premises solutions involve hosting data and applications locally on physical servers within the organization, providing more control over data privacy and security. Both types have their own advantages and are used based on factors such as security requirements, connectivity, and cost considerations in the construction market.

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The Artificial Intelligence in Construction Market Industry Research by Application is segmented into:

• Residential
• Commercials
• Heavy Construction
• Others

Artificial Intelligence in Construction is being utilized across various sectors including residential, commercial, heavy construction, and others. In residential construction, AI is used for tasks like project planning, design optimization, and defect detection. In commercial construction, AI is employed for monitoring progress, cost estimation, and safety management. In heavy construction, AI helps in equipment automation, predictive maintenance, and risk assessment. In other sectors, AI is used for energy efficiency improvements, supply chain optimization, and real-time monitoring.

Geographical Regional Spread of Artificial Intelligence in Construction Market

North America:

• United States


• Canada

Europe:

• Germany


• France


• U.K.


• Italy


• Russia

Asia-Pacific:

• China


• Japan


• South Korea


• India


• Australia


• China Taiwan


• Indonesia


• Thailand


• Malaysia

Latin America:

• Mexico


• Brazil


• Argentina Korea


• Colombia

Middle East & Africa:

• Turkey


• Saudi


• Arabia


• UAE


• Korea

The regional analysis of the Artificial Intelligence in Construction market provides insights into the market trends, opportunities, and challenges specific to different regions. Here is a brief explanation of the market outlook for each region mentioned:

1. North America: The United States and Canada are major contributors to the AI in Construction market in North America. The region has a high adoption rate of AI technologies in the construction industry due to the presence of key players, technological advancements, and government initiatives to promote smart infrastructure projects.

2. Europe: Germany, France, the ., Italy, and Russia are key markets for AI in Construction in Europe. These countries have a strong focus on sustainable development and digital transformation in the construction sector, driving the demand for AI solutions.

3. Asia-Pacific: China, Japan, South Korea, India, Australia, Indonesia, Thailand, and Malaysia are witnessing rapid growth in the adoption of AI in Construction. Factors such as rapid urbanization, infrastructure development, and government initiatives to promote innovative technologies are driving market growth in this region.

4. Latin America: Mexico, Brazil, Argentina, and Colombia are emerging markets for AI in Construction in Latin America. The region is experiencing growth in construction activities, leading to the adoption of AI solutions to enhance project efficiency and productivity.

5. Middle East & Africa: Turkey, Saudi Arabia, UAE, and Korea are key markets for AI in Construction in the Middle East and Africa region. The adoption of AI technologies is increasing in the construction sector to address infrastructure development challenges, improve project management, and enhance construction processes.

Overall, the regional analysis of the Artificial Intelligence in Construction market highlights the diverse opportunities and challenges specific to each region, providing valuable insights for market players looking to expand their presence and capitalize on growth opportunities.

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Primary Catalysts and Hindrances of the Artificial Intelligence in Construction Market

Key drivers propelling the growth of the Artificial Intelligence in Construction Market include increased efficiency, cost savings, improved safety, and enhanced decision-making capabilities. Innovative solutions to overcome barriers and challenges faced by the industry include advanced AI algorithms for predictive maintenance, real-time monitoring of project progress, and digital twinning technology for virtual simulations. Integration of AI with IoT devices and drones also helps streamline operations and increase productivity. Overall, the adoption of AI in construction is transforming the industry by revolutionizing traditional processes and driving progress towards a more sustainable and efficient future.

Artificial Intelligence in Construction Major Market Players 

• IBM
• Microsoft
• Oracle
• SAP
• Alice Technologies
• eSUB
• SmarTVid.Io
• DarKTrace
• Aurora Computer Services
• Autodesk
• Jaroop
• Lili.Ai
• Predii
• Assignar
• Deepomatic
• Coins Global
• Beyond
• Doxel
• Askporter
• Plangrid
• Renoworks Software
• Building System Planning
• Bentley Systems

Artificial Intelligence in Construction Market players such as IBM, Microsoft, Oracle, and SAP are some of the key players dominating the market. These companies are leveraging AI technology to provide innovative solutions for the construction industry, helping to optimize processes, increase efficiency, and streamline operations.

IBM is a leading player in the AI in construction market, providing advanced AI solutions for construction projects. Their AI-powered tools help improve project planning, scheduling, and risk management. Microsoft is another major player, offering AI solutions that enhance collaboration and communication among project teams. Oracle and SAP are also key players in the market, providing AI-driven solutions for project management, resource allocation, and cost estimation.

One of the emerging players in the market is Alice Technologies, which offers AI-powered construction scheduling software that helps optimize project timelines and resources. eSUB is another notable player, providing AI solutions for subcontractor management and project documentation.

In terms of market growth, the AI in construction market is expected to witness significant growth in the coming years, driven by increasing adoption of AI technology in the construction industry and the growing demand for automation and digitization solutions. The market size is projected to reach billions of dollars in the next few years.

As for sales revenue, IBM reported total revenue of approximately $73 billion in 2020, Microsoft reported total revenue of $143 billion, and Oracle reported total revenue of $39 billion. SAP reported total revenue of $30 billion in 2020. These figures reflect the strong market presence and revenue generation of these key players in the AI in construction market.

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Artificial Intelligence in Construction Market Growth Prospects and Future Outlook

The Artificial Intelligence in Construction market is expected to witness significant growth due to the increasing adoption of AI technologies to streamline processes, improve safety, and enhance efficiency in construction projects. Market entry strategies for companies looking to capitalize on this growth include partnerships with technology providers and offering AI-powered solutions tailored to the needs of the construction industry.

Innovative growth drivers for the market include the development of advanced AI algorithms for predictive maintenance, project planning, and quality control. Market disruptions may arise from the integration of AI with other emerging technologies such as Internet of Things (IoT) and robotics.

The expected compound annual growth rate (CAGR) for the Artificial Intelligence in Construction market is projected to be around 35% during the forecast period, with the market size estimated to reach $ billion by 2025.

Demographic trends, such as the aging workforce in the construction industry and the increasing demand for sustainable building practices, are influencing purchasing decisions towards AI solutions that can address these challenges. Consumer segments driving growth include large construction companies looking to modernize their operations and smaller firms seeking to compete with larger players by leveraging AI technologies.

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