PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1269755
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1269755
Global Simultaneous Localization and Mapping (SLAM) Technology Market is valued at approximately USD 226.7 million in 2021 and is anticipated to grow with a healthy growth rate of more than 49.41% over the forecast period 2022-2029. Simultaneous Localization and Mapping (SLAM) technology is a technique used in robotics and computer vision that enables a robot to create a map of its environment and simultaneously determine its location within that map. The Simultaneous Localization and Mapping (SLAM) Technology market is expanding because of factors such as the growing demand for service-based robots and the rising emergence of autonomous vehicles.
SLAM technology is particularly useful in situations where the environment is unknown or changes frequently, such as in search and rescue missions, exploration of unknown terrain, or industrial environments. Its prevalence has progressively increased during the last few decades. According to Statista, The United States dominate the service robotics market, with a sales value is estimated around USD 12 billion in 2022. Furthermore, the Commercial Service Robotics segment is estimated to reach up to USD 16.15 billion in 2023. The largest segment is Medical service robotics with a projected market volume of USD 9.50 billion in the same year. Another important component driving space increase is the emergence of autonomous vehicles. As per Statista, Level 4 autonomous vehicles are expected to have a 1% market penetration rate in 2025 and which is estimated to reach up to 5% of the global market by 2030. In addition, in 2019, it is estimated that approximately 1.4 million vehicles were sold globally with at least Level 3 autonomy. Global sales of these vehicles are expected to reach around 58 million units by 2030. For instance, in Feb 2021, Ford announced a USD 22 billion investment in electric vehicles and a USD 7 billion investment in autonomous vehicles by the year 2025. The electric-vehicle stake is in addition to the USD 10 billion already pledged to assist Ford in competing in the race to bring electric vehicles into the mainstream. Also, the increasing application of slam in augmented reality and growing demand for autonomous drones would create a lucrative growth prospectus for the market over the forecast period. However, technical difficulties in SLAM implementation stifle market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Simultaneous Localization and Mapping (SLAM) Technology Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the presence of key market players and the rising emergence of augmented reality in various businesses. Furthermore, Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising investment in industrial automation and increasing usage of robotics in both commercial and non-commercial applications in the market space.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of figures
List of tables and figures and dummy in nature, final lists may vary in the final deliverable