Report ID: SQMIG25C2058
Report ID:
SQMIG25C2058 |
Region:
Global |
Published Date: July, 2024
Pages:
243
|
Tables:
146 |
Figures:
78
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REQUEST FREE CUSTOMIZATIONAutomotive AI Repair Services Market size was valued at USD 503.5 million in 2021 and is poised to grow from USD 587.7 million in 2022 to USD 2576.9 million by 2030, growing at a CAGR of 16.75% in the forecast period (2023-2030).
The competitive environment of the market for automotive AI repair services is quickly changing as new players enter the space and current players expand their product offerings. 'Bosch', 'Continental AG', 'Denso Corporation', 'Delphi Automotive', 'Magneti Marelli', 'WABCO Holdings Inc.', 'ZF Friedrichshafen AG', 'Aisin Seiki Co. Ltd.', 'Tenneco Inc.', 'Federal-Mogul Holdings LLC', 'HELLA GmbH & Co. KGaA', 'Hitachi Automotive Systems', 'Lear Corporation', 'Faurecia', 'Valeo SA', 'Hyundai Mobis Co., Ltd.', 'Robert Bosch GmbH', 'Akebono Brake Industry Co., Ltd.', 'BorgWarner Inc.', 'Dana Holding Corporation'
Many consumers are becoming more concerned about the environment and seeking out eco-friendly repair and maintenance services. Repair shops that provide environmentally friendly services, such as EV repairs and recycling facilities for vehicle parts, draw clients that are environmentally conscious and gain a competitive edge.
The market is driven by the growing adoption of preventative maintenance tools. Predictive maintenance is a technique that collects information from vehicles and employs AI and machine learning algorithms to forecast when maintenance or repairs will be required. This enables repair facilities to do preventive maintenance and repairs before to a failure, minimizing downtime and repair costs.
By 2021, North America dominated the Automotive AI Repair Services because of the broad adoption of AI-powered diagnostic tools, predictive maintenance systems, and other technologies. The well-established automobile industry in both regions and the intense competition in the repair services sector are driving the use of AI technology to improve efficiency and accuracy.
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Report ID: SQMIG25C2058