PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1279882
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1279882
Global Automotive Predictive Technology Market is valued at approximately USD 63.94 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 8.21% over the forecast period 2023-2030. Automotive Predictive Technology refers to the use of advanced analytics and predictive modeling techniques to anticipate and forecast various aspects of the automotive industry. It leverages data from various sources, such as vehicle sensors, historical records, market trends, and customer behavior, to make informed predictions about different aspects of the automotive ecosystem. The Automotive Predictive Technology market is expanding because of factors such as increasing installation of advanced driver-assistance systems (ADAS) and growing investment in research and development activities.
The automotive industry has been driving research and development in recent years to enhance ADAS systems. As a result, lane departure warning systems, cameras, RADAR, and other sensors are in high demand and are being integrated into vehicles at a rapid rate. This led to additional advancements in advanced driving aid systems. Companies, therefore, keep focusing on developing products utilising these technologies to increase demand in the industry which is driving the market growth. As an example, in the year 2021 Hyundai unveiled its upgraded Santafee model. Along with safety features, the car is loaded with numerous features. The Hyundai Santafee comes with SmartSense safety systems, which include a variety of cameras, radars, and motion detection technologies like Forward Collision-Avoidance Assist (FCA), meant to identify cars, pedestrians, or cyclists who are directly in front of the car. In April 2021, Toyota Motor Corp. unveiled updated models of the Toyota Mirai and Lexus LS in Japan. Both cars are equipped with Level 2 autonomous Advanced Drive, which helps with lane keeping, keeping a safe distance from other cars, lane changes, and advanced driver assistance. Additionally, Toyota has made known that it intends to pay USD 550 million to buy Lyft's autonomous vehicle division. Such technological advancement is driving the market growth. In addition, rising investments by the companies to adopt advanced technologies such as IoT and AI and rising government support to the industry is creating lucrative growth to the market. However, the high cost of Automotive Predictive Technology stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Automotive Predictive Technology Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to presence of key market players, rising adoption of self-driving technology system, and rising technological advancement in the region. Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as increasing production of electric vehicles, rising initiatives for implementation of predictive technology.
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 Vehicle Type 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