10 strategic tech trends for the infrastructure industry in 2022

Compared to early adopters on the path to digital transformation, the infrastructure industry, that is, the “built environment” consisting of the man-made places and spaces in which we live, work and play, could be considered a laggard. But it is a laggard with a huge market opportunity, at the rate of $ 21 billion annually worldwide and annual spending of $ 1.4 trillion in the US, representing 4% of US GDP.

Many of the strategic technologies that we know well from deployments in high-tech, finance, and other industries, such as AI / ML and data analytics, are now permeating the infrastructure industry, as are other unique technology enablers specific to architecture, engineering. , and construction (AEC).

A conversation and convergence is taking place where startups are becoming more industry informed and AEC companies are becoming more digital savvy. AEC firms are doing this both to devalue the system in their internal processes and to innovate the way they serve clients. And venture capital firms are funding infrastructure-specific startups in real estate and construction technology that are tackling tough problems in the industry.

As this conversation and digitization continue, here are ten strategic technology trends that I believe will be transformative for the infrastructure and AEC industry in 2022:

AI / ML – As with most other industries, AI / ML is one of the most transformative technologies for the infrastructure industry, and is at the top of the emerging technology heat maps of many organizations. In 2022, use cases will continue to expand into transportation, urban planning, and building information modeling (BIM) and across a wide range of corporate functions, from sales and marketing to finance and human resources. In the BIM space, ClearEdge3DFor example, it employs artificial intelligence to help automate tedious scan-to-BIM workflows such as as-built pipes and other structural elements. For internal corporate processes, AI / ML will apply to use cases as diverse as profit and loss analysis, work order tracking, contract workflows, and MarTech.

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