
Vehicle Predictive Maintenance Solution is a solution for monitoring connected vehicles for predictive analysis. Connected vehicle solutions typically include the vehicle, but with mobility as a service (MaaS), wherein the user can be in the vehicle as the driver or passenger or outside the vehicle.Passengers can communicate with the vehicle via the user interface (human-machine interface) HMI or by using an external application or device.Onboard sensors and cameras continuously monitor the health of the components in the connected car. Furthermore, the AI services analyze and act upon the data from the sensors and cameras by providing recommendations to the driver.
The global Vehicle Predictive Maintenance Solution market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Vehicle Predictive Maintenance Solution is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Vehicle Predictive Maintenance Solution is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Vehicle Predictive Maintenance Solution in Large Corporation is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Vehicle Predictive Maintenance Solution include Infosys, HMG, Intuceo, Questar, IBM, BMW Group, Ford, Siemens and Cisco, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Vehicle Predictive Maintenance Solution, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Vehicle Predictive Maintenance Solution.
Report Scope
The Vehicle Predictive Maintenance Solution market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Vehicle Predictive Maintenance Solution market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Vehicle Predictive Maintenance Solution companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Infosys
HMG
Intuceo
Questar
IBM
BMW Group
Ford
Siemens
Cisco
Amazon
Schneider Electric
Artesis
Infineon Technologies AG
SAP
Robert Bosch
Valeo
OMRON Corporation
Samsung
LEONI
Otonomo
GE
NXP
Microsoft
Segment by Type
Cloud Based
On-Premise
Segment by Application
Large Corporation
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Vehicle Predictive Maintenance Solution companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Vehicle Predictive Maintenance Solution Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Vehicle Predictive Maintenance Solution Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Corporation
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Vehicle Predictive Maintenance Solution Market Perspective (2019-2030)
2.2 Vehicle Predictive Maintenance Solution Growth Trends by Region
2.2.1 Global Vehicle Predictive Maintenance Solution Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Vehicle Predictive Maintenance Solution Historic Market Size by Region (2019-2024)
2.2.3 Vehicle Predictive Maintenance Solution Forecasted Market Size by Region (2025-2030)
2.3 Vehicle Predictive Maintenance Solution Market Dynamics
2.3.1 Vehicle Predictive Maintenance Solution Industry Trends
2.3.2 Vehicle Predictive Maintenance Solution Market Drivers
2.3.3 Vehicle Predictive Maintenance Solution Market Challenges
2.3.4 Vehicle Predictive Maintenance Solution Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Vehicle Predictive Maintenance Solution Players by Revenue
3.1.1 Global Top Vehicle Predictive Maintenance Solution Players by Revenue (2019-2024)
3.1.2 Global Vehicle Predictive Maintenance Solution Revenue Market Share by Players (2019-2024)
3.2 Global Vehicle Predictive Maintenance Solution Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Vehicle Predictive Maintenance Solution Revenue
3.4 Global Vehicle Predictive Maintenance Solution Market Concentration Ratio
3.4.1 Global Vehicle Predictive Maintenance Solution Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Vehicle Predictive Maintenance Solution Revenue in 2023
3.5 Vehicle Predictive Maintenance Solution Key Players Head office and Area Served
3.6 Key Players Vehicle Predictive Maintenance Solution Product Solution and Service
3.7 Date of Enter into Vehicle Predictive Maintenance Solution Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Vehicle Predictive Maintenance Solution Breakdown Data by Type
4.1 Global Vehicle Predictive Maintenance Solution Historic Market Size by Type (2019-2024)
4.2 Global Vehicle Predictive Maintenance Solution Forecasted Market Size by Type (2025-2030)
5 Vehicle Predictive Maintenance Solution Breakdown Data by Application
5.1 Global Vehicle Predictive Maintenance Solution Historic Market Size by Application (2019-2024)
5.2 Global Vehicle Predictive Maintenance Solution Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Vehicle Predictive Maintenance Solution Market Size (2019-2030)
6.2 North America Vehicle Predictive Maintenance Solution Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Vehicle Predictive Maintenance Solution Market Size by Country (2019-2024)
6.4 North America Vehicle Predictive Maintenance Solution Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Vehicle Predictive Maintenance Solution Market Size (2019-2030)
7.2 Europe Vehicle Predictive Maintenance Solution Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Vehicle Predictive Maintenance Solution Market Size by Country (2019-2024)
7.4 Europe Vehicle Predictive Maintenance Solution Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Vehicle Predictive Maintenance Solution Market Size (2019-2030)
8.2 Asia-Pacific Vehicle Predictive Maintenance Solution Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Vehicle Predictive Maintenance Solution Market Size by Region (2019-2024)
8.4 Asia-Pacific Vehicle Predictive Maintenance Solution Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Vehicle Predictive Maintenance Solution Market Size (2019-2030)
9.2 Latin America Vehicle Predictive Maintenance Solution Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Vehicle Predictive Maintenance Solution Market Size by Country (2019-2024)
9.4 Latin America Vehicle Predictive Maintenance Solution Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Vehicle Predictive Maintenance Solution Market Size (2019-2030)
10.2 Middle East & Africa Vehicle Predictive Maintenance Solution Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Vehicle Predictive Maintenance Solution Market Size by Country (2019-2024)
10.4 Middle East & Africa Vehicle Predictive Maintenance Solution Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Infosys
11.1.1 Infosys Company Detail
11.1.2 Infosys Business Overview
11.1.3 Infosys Vehicle Predictive Maintenance Solution Introduction
11.1.4 Infosys Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.1.5 Infosys Recent Development
11.2 HMG
11.2.1 HMG Company Detail
11.2.2 HMG Business Overview
11.2.3 HMG Vehicle Predictive Maintenance Solution Introduction
11.2.4 HMG Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.2.5 HMG Recent Development
11.3 Intuceo
11.3.1 Intuceo Company Detail
11.3.2 Intuceo Business Overview
11.3.3 Intuceo Vehicle Predictive Maintenance Solution Introduction
11.3.4 Intuceo Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.3.5 Intuceo Recent Development
11.4 Questar
11.4.1 Questar Company Detail
11.4.2 Questar Business Overview
11.4.3 Questar Vehicle Predictive Maintenance Solution Introduction
11.4.4 Questar Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.4.5 Questar Recent Development
11.5 IBM
11.5.1 IBM Company Detail
11.5.2 IBM Business Overview
11.5.3 IBM Vehicle Predictive Maintenance Solution Introduction
11.5.4 IBM Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.5.5 IBM Recent Development
11.6 BMW Group
11.6.1 BMW Group Company Detail
11.6.2 BMW Group Business Overview
11.6.3 BMW Group Vehicle Predictive Maintenance Solution Introduction
11.6.4 BMW Group Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.6.5 BMW Group Recent Development
11.7 Ford
11.7.1 Ford Company Detail
11.7.2 Ford Business Overview
11.7.3 Ford Vehicle Predictive Maintenance Solution Introduction
11.7.4 Ford Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.7.5 Ford Recent Development
11.8 Siemens
11.8.1 Siemens Company Detail
11.8.2 Siemens Business Overview
11.8.3 Siemens Vehicle Predictive Maintenance Solution Introduction
11.8.4 Siemens Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.8.5 Siemens Recent Development
11.9 Cisco
11.9.1 Cisco Company Detail
11.9.2 Cisco Business Overview
11.9.3 Cisco Vehicle Predictive Maintenance Solution Introduction
11.9.4 Cisco Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.9.5 Cisco Recent Development
11.10 Amazon
11.10.1 Amazon Company Detail
11.10.2 Amazon Business Overview
11.10.3 Amazon Vehicle Predictive Maintenance Solution Introduction
11.10.4 Amazon Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.10.5 Amazon Recent Development
11.11 Schneider Electric
11.11.1 Schneider Electric Company Detail
11.11.2 Schneider Electric Business Overview
11.11.3 Schneider Electric Vehicle Predictive Maintenance Solution Introduction
11.11.4 Schneider Electric Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.11.5 Schneider Electric Recent Development
11.12 Artesis
11.12.1 Artesis Company Detail
11.12.2 Artesis Business Overview
11.12.3 Artesis Vehicle Predictive Maintenance Solution Introduction
11.12.4 Artesis Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.12.5 Artesis Recent Development
11.13 Infineon Technologies AG
11.13.1 Infineon Technologies AG Company Detail
11.13.2 Infineon Technologies AG Business Overview
11.13.3 Infineon Technologies AG Vehicle Predictive Maintenance Solution Introduction
11.13.4 Infineon Technologies AG Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.13.5 Infineon Technologies AG Recent Development
11.14 SAP
11.14.1 SAP Company Detail
11.14.2 SAP Business Overview
11.14.3 SAP Vehicle Predictive Maintenance Solution Introduction
11.14.4 SAP Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.14.5 SAP Recent Development
11.15 Robert Bosch
11.15.1 Robert Bosch Company Detail
11.15.2 Robert Bosch Business Overview
11.15.3 Robert Bosch Vehicle Predictive Maintenance Solution Introduction
11.15.4 Robert Bosch Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.15.5 Robert Bosch Recent Development
11.16 Valeo
11.16.1 Valeo Company Detail
11.16.2 Valeo Business Overview
11.16.3 Valeo Vehicle Predictive Maintenance Solution Introduction
11.16.4 Valeo Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.16.5 Valeo Recent Development
11.17 OMRON Corporation
11.17.1 OMRON Corporation Company Detail
11.17.2 OMRON Corporation Business Overview
11.17.3 OMRON Corporation Vehicle Predictive Maintenance Solution Introduction
11.17.4 OMRON Corporation Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.17.5 OMRON Corporation Recent Development
11.18 Samsung
11.18.1 Samsung Company Detail
11.18.2 Samsung Business Overview
11.18.3 Samsung Vehicle Predictive Maintenance Solution Introduction
11.18.4 Samsung Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.18.5 Samsung Recent Development
11.19 LEONI
11.19.1 LEONI Company Detail
11.19.2 LEONI Business Overview
11.19.3 LEONI Vehicle Predictive Maintenance Solution Introduction
11.19.4 LEONI Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.19.5 LEONI Recent Development
11.20 Otonomo
11.20.1 Otonomo Company Detail
11.20.2 Otonomo Business Overview
11.20.3 Otonomo Vehicle Predictive Maintenance Solution Introduction
11.20.4 Otonomo Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.20.5 Otonomo Recent Development
11.21 GE
11.21.1 GE Company Detail
11.21.2 GE Business Overview
11.21.3 GE Vehicle Predictive Maintenance Solution Introduction
11.21.4 GE Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.21.5 GE Recent Development
11.22 NXP
11.22.1 NXP Company Detail
11.22.2 NXP Business Overview
11.22.3 NXP Vehicle Predictive Maintenance Solution Introduction
11.22.4 NXP Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.22.5 NXP Recent Development
11.23 Microsoft
11.23.1 Microsoft Company Detail
11.23.2 Microsoft Business Overview
11.23.3 Microsoft Vehicle Predictive Maintenance Solution Introduction
11.23.4 Microsoft Revenue in Vehicle Predictive Maintenance Solution Business (2019-2024)
11.23.5 Microsoft Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Infosys
HMG
Intuceo
Questar
IBM
BMW Group
Ford
Siemens
Cisco
Amazon
Schneider Electric
Artesis
Infineon Technologies AG
SAP
Robert Bosch
Valeo
OMRON Corporation
Samsung
LEONI
Otonomo
GE
NXP
Microsoft
Ìý
Ìý
*If Applicable.
