The predictive vehicle technology market in MEA is expected to grow from US$ 0.91 million in 2019 to US$ 1.73 million by 2027; it is estimated to grow at a CAGR of 10.7% from 2020 to 2027.
The South Africa, and rest of MEA are major economies in MEA. Adoption of predictive powertrain control in heavy commercial vehicles gained momentum over the past few years. The predictive powertrain control (PPC) has arrived a few years ago to gain momentum in current times. The adoption of PPC assists in lowering fuel consumption by up to 5% in long-distance traffic. This is a distinct cruise control system that saves monetary resources through intelligent predictions. The PPC uses 3D maps and GPS data to scan a road ahead. Later, the system automatically adjusts the speed while rolling accordingly. The benefits of PPC has made the automakers, especially heavy commercial vehicle manufacturers, to integrate PPC in their vehicles. The PPC can be retrofitted in nearly all types of trucks & heavy vehicles. Improvements in PPC retrofit is well-suited with FleetBoard telematics services, as these are already used in trucks. The heavy truck manufacturers are approaching complementary business units to improve their product portfolio and acquire additional expertise in PPC trends. For instance, Mercedes-Benz PPC technology is available for retrofitting in Actros, Arcos, and Antos by Mercedes-Benz partners across MEA. PPC in Mercedes-Benz has ordered an average of 64% of the heavy vehicles in a long-distance traveling. Rising demand for heavy commercial vehicles is projected to grow the adoption of predictive technology in heavy vehicles. Thus, the growth in the adoption of predictive powertrain control in heavy commercial vehicles is expected to create a significant demand for predictive vehicle technology in the coming years, which is further anticipated to drive the market in MEA.
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The List of Companies:
- Aptiv PLC
- Continental AG
- HELLA GmbH and Co. KGaA
- NXP SEMICONDUCTORS N.V.
- Robert Bosch GmbH
- Traffilog LTD
- Visteon Corporation
- ZF Friedrichshafen AG
The latest research report on the “Middle East and Africa Predictive Vehicle Technology Market – Industry Analysis, Market Size, Opportunities and Forecast, 2020 – 2027” provides a comprehensive assessment of the Middle East and Africa Predictive Vehicle Technology market for the forecast period from 2020 to 2027, including market values for the years 2018 and 2019. The investigative report provides a detailed analysis of the impact of COVID-19 on various segments in the Middle East and Africa Predictive Vehicle Technology market based on product type, application, and end-use across numerous countries around the world. Further, the report also provides insights into market developments, trends, supply, and demand changes across various regions across the globe. Thereby, the report provides a holistic view of the Middle East and Africa Predictive Vehicle Technology Market in order to help decision-makers with various strategic insights and future outlook. The Middle East and Africa Predictive Vehicle Technology market is expected to witness continued growth during the forecast period from 2020 to 2027.
This is a professional and in-depth study on the current state of the Middle East and Africa Predictive Vehicle Technology Market with a basic overview of the industry including definitions, classifications, applications, and industry chain structure. The Strategic Insights and Development plans are also discussed and manufacturing processes and cost structures analyzed. Middle East and Africa Predictive Vehicle Technology Market import/export consumption, supply and demand figures, and cost price and production value gross margins are also provided.
The report focuses on global major leading Middle East and Africa Predictive Vehicle Technology Market players providing information such as company profiles, product picture and specification, capacity, production, price, cost, revenue, and contact information. Upstream raw materials and equipment and downstream demand analysis are also carried out.
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