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Mobile Mapping Market size surpassed USD 20 billion in 2022 and is projected to register 15% CAGR from 2023 to 2032, driven by the burgeoning use of smartphones globally.
Continuous developments in mobile devices, including innovations and next-generation product launches, are positively influencing the live-streaming market. For instance, in September 2022, tech behemoth Apple introduced the new iPhone 14 and iPhone 14 Pro with emergency SOS via satellite feature. The mounting penetration of mobile devices is likely to foster the deployment of mobile mapping solutions worldwide.
Report Attribute | Details |
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Base Year: | 2022 |
Mobile Mapping Market Size in 2022: | USD 20 Billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 15% |
2032 Value Projection: | USD 100 Billion |
Historical Data for: | 2018 to 2022 |
No. of Pages: | 230 |
Tables, Charts & Figures: | 440 |
Segments covered: | Component, Application, End-use, and Region |
Growth Drivers: | |
Pitfalls & Challenges: |
Rising investment in smart city projects and city management initiatives is foreseen to further propel the mobile mapping market growth. Governments are employing smarter ways to analyze and integrate infrastructure, manage complexity, increase efficiency and improve standards of living due to a surge in urban population and rapid area expansion. Moreover, in April 2022, the Government of France announced the release of a new system for proving digital identity via smartphones known as the SGIN, which automates personal information. The app was designed to aid in population control and identification.
Significant concerns regarding the veracity of the data are a major factor restraining the business growth for mobile mapping. In many cases, inaccurate data lead to real-world repercussions. Erroneous data can result in a wrong individual being charged with a crime in law enforcement, a fatal error in patient care in the field of healthcare, and substantial costly errors in the development of a retail firm. However, positional correctness is crucial for mapped assets and derived vector data to preserve the quality of the geospatial information. Nevertheless, notable advancements, including the mobile laser scanning point clouds and semi-automated extraction, are set to aid manufacturers in overcoming this issue.