Spatial Computing Market size was valued at USD 118.62 billion in 2023 and is anticipated to reach USD 1.45 trillion by the end of 2036, registering around 21.3% CAGR during the forecast period i.e., between 2024-2036. In the year 2024, the industry size of spatial computing is assessed at USD 138.83 billion.
The increasing need to improve human-machine interaction, and machine-to-machine interaction, is expected to fuel the progress of this market. These technologies are deployed to converge the physical world with the digital world by digitizing the objects and enabling the operator to control the movement and interactions of these objects as the person moves through the physical or digital world. The growth of the market can also be attributed to factors such as the high requirement of creating real-world digital solutions with the help of spatial computing on a global level. The continuously evolving consumer demand has led to the rapid growth in the need to digitally transform the businesses, particularly those involving front-line workers and operating in the physical world. The rise in demand has resulted in rising expenditure on the adoption of spatial computing by major organizations and is expected to contribute to the market’s growth during the forecast period. According to the analysis of the International Telecommunication Union, spatial computing technologies such as internet of things, virtual reality, and others can help governments in countries with an aging population by providing solutions to meet the demand for their demographic shift. This is especially relevant for countries like U.S., where adults aged more than 65 years will outnumber children by 2030, and for Japan, whose 40% population will be over 65 years of age by 2060. The use of spatial computing technologies imparts efficiency to the tasks performed in many walks of life, thereby reducing human efforts. Apart from improving comfort, spatial computing innovations can also help address loneliness, which is a risk factor for health problems such as cardiovascular diseases and dementia.
Author Credits: Abhishek Verma
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