Global Smart Networked Vehicle Solution 麻豆原创 Research Report 2025

Publication ID:

PB503255720

Publication Date:

March 7, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Smart Networked Vehicle Solution was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
Smart networked vehicle solutions refer to the integration of advanced technologies and systems into vehicles to enable them to communicate with each other and with the surrounding infrastructure.
North American market for Smart Networked Vehicle Solution is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Smart Networked Vehicle Solution is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Smart Networked Vehicle Solution in Passenger Vehicles is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Smart Networked Vehicle Solution include IBM, General Motors, AUO Corporation, Geotab, Gorilla Technology, Huawei, KPIT Technologies, NXP Semiconductors, ADLINK, Ericsson, etc. In 2024, 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 Smart Networked Vehicle 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 Smart Networked Vehicle Solution.
The Smart Networked Vehicle Solution market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Smart Networked Vehicle 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 Smart Networked Vehicle Solution companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
IBM
General Motors
AUO Corporation
Geotab
Gorilla Technology
Huawei
KPIT Technologies
NXP Semiconductors
ADLINK
Ericsson
CONTUS
Kingsoft
AUTOAI
Hopechart
Beijing Sylincom Technology
China TransInfo Technology
BDStar Intelligent Connected Vehicle Technology
Segment by Type
Vehicle-to-Network
Vehicle-to-Vehicle
Vehicle-to-Infrastructure
Vehicle-to-Pedestrian
Segment by Application
Passenger Vehicles
Commercial Vehicles
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
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 Smart Networked Vehicle Solution company 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.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Smart Networked Vehicle Solution 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Vehicle-to-Network
1.2.3 Vehicle-to-Vehicle
1.2.4 Vehicle-to-Infrastructure
1.2.5 Vehicle-to-Pedestrian
1.3 麻豆原创 by Application
1.3.1 Global Smart Networked Vehicle Solution 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Passenger Vehicles
1.3.3 Commercial Vehicles
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Smart Networked Vehicle Solution 麻豆原创 Perspective (2020-2031)
2.2 Global Smart Networked Vehicle Solution Growth Trends by Region
2.2.1 Global Smart Networked Vehicle Solution 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Smart Networked Vehicle Solution Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Smart Networked Vehicle Solution Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Smart Networked Vehicle Solution 麻豆原创 Dynamics
2.3.1 Smart Networked Vehicle Solution Industry Trends
2.3.2 Smart Networked Vehicle Solution 麻豆原创 Drivers
2.3.3 Smart Networked Vehicle Solution 麻豆原创 Challenges
2.3.4 Smart Networked Vehicle Solution 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Smart Networked Vehicle Solution Players by Revenue
3.1.1 Global Top Smart Networked Vehicle Solution Players by Revenue (2020-2025)
3.1.2 Global Smart Networked Vehicle Solution Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Smart Networked Vehicle Solution 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Smart Networked Vehicle Solution Revenue
3.4 Global Smart Networked Vehicle Solution 麻豆原创 Concentration Ratio
3.4.1 Global Smart Networked Vehicle Solution 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Smart Networked Vehicle Solution Revenue in 2024
3.5 Global Key Players of Smart Networked Vehicle Solution Head office and Area Served
3.6 Global Key Players of Smart Networked Vehicle Solution, Product and Application
3.7 Global Key Players of Smart Networked Vehicle Solution, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Smart Networked Vehicle Solution Breakdown Data by Type
4.1 Global Smart Networked Vehicle Solution Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Smart Networked Vehicle Solution Forecasted 麻豆原创 Size by Type (2026-2031)
5 Smart Networked Vehicle Solution Breakdown Data by Application
5.1 Global Smart Networked Vehicle Solution Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Smart Networked Vehicle Solution Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Smart Networked Vehicle Solution 麻豆原创 Size (2020-2031)
6.2 North America Smart Networked Vehicle Solution 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Smart Networked Vehicle Solution 麻豆原创 Size by Country (2020-2025)
6.4 North America Smart Networked Vehicle Solution 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Smart Networked Vehicle Solution 麻豆原创 Size (2020-2031)
7.2 Europe Smart Networked Vehicle Solution 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Smart Networked Vehicle Solution 麻豆原创 Size by Country (2020-2025)
7.4 Europe Smart Networked Vehicle Solution 麻豆原创 Size by Country (2026-2031)
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 Smart Networked Vehicle Solution 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Smart Networked Vehicle Solution 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Smart Networked Vehicle Solution 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Smart Networked Vehicle Solution 麻豆原创 Size by Region (2026-2031)
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 Smart Networked Vehicle Solution 麻豆原创 Size (2020-2031)
9.2 Latin America Smart Networked Vehicle Solution 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Smart Networked Vehicle Solution 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Smart Networked Vehicle Solution 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Smart Networked Vehicle Solution 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Smart Networked Vehicle Solution 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Smart Networked Vehicle Solution 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Smart Networked Vehicle Solution 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Smart Networked Vehicle Solution Introduction
11.1.4 IBM Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.1.5 IBM Recent Development
11.2 General Motors
11.2.1 General Motors Company Details
11.2.2 General Motors Business Overview
11.2.3 General Motors Smart Networked Vehicle Solution Introduction
11.2.4 General Motors Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.2.5 General Motors Recent Development
11.3 AUO Corporation
11.3.1 AUO Corporation Company Details
11.3.2 AUO Corporation Business Overview
11.3.3 AUO Corporation Smart Networked Vehicle Solution Introduction
11.3.4 AUO Corporation Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.3.5 AUO Corporation Recent Development
11.4 Geotab
11.4.1 Geotab Company Details
11.4.2 Geotab Business Overview
11.4.3 Geotab Smart Networked Vehicle Solution Introduction
11.4.4 Geotab Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.4.5 Geotab Recent Development
11.5 Gorilla Technology
11.5.1 Gorilla Technology Company Details
11.5.2 Gorilla Technology Business Overview
11.5.3 Gorilla Technology Smart Networked Vehicle Solution Introduction
11.5.4 Gorilla Technology Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.5.5 Gorilla Technology Recent Development
11.6 Huawei
11.6.1 Huawei Company Details
11.6.2 Huawei Business Overview
11.6.3 Huawei Smart Networked Vehicle Solution Introduction
11.6.4 Huawei Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.6.5 Huawei Recent Development
11.7 KPIT Technologies
11.7.1 KPIT Technologies Company Details
11.7.2 KPIT Technologies Business Overview
11.7.3 KPIT Technologies Smart Networked Vehicle Solution Introduction
11.7.4 KPIT Technologies Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.7.5 KPIT Technologies Recent Development
11.8 NXP Semiconductors
11.8.1 NXP Semiconductors Company Details
11.8.2 NXP Semiconductors Business Overview
11.8.3 NXP Semiconductors Smart Networked Vehicle Solution Introduction
11.8.4 NXP Semiconductors Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.8.5 NXP Semiconductors Recent Development
11.9 ADLINK
11.9.1 ADLINK Company Details
11.9.2 ADLINK Business Overview
11.9.3 ADLINK Smart Networked Vehicle Solution Introduction
11.9.4 ADLINK Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.9.5 ADLINK Recent Development
11.10 Ericsson
11.10.1 Ericsson Company Details
11.10.2 Ericsson Business Overview
11.10.3 Ericsson Smart Networked Vehicle Solution Introduction
11.10.4 Ericsson Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.10.5 Ericsson Recent Development
11.11 CONTUS
11.11.1 CONTUS Company Details
11.11.2 CONTUS Business Overview
11.11.3 CONTUS Smart Networked Vehicle Solution Introduction
11.11.4 CONTUS Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.11.5 CONTUS Recent Development
11.12 Kingsoft
11.12.1 Kingsoft Company Details
11.12.2 Kingsoft Business Overview
11.12.3 Kingsoft Smart Networked Vehicle Solution Introduction
11.12.4 Kingsoft Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.12.5 Kingsoft Recent Development
11.13 AUTOAI
11.13.1 AUTOAI Company Details
11.13.2 AUTOAI Business Overview
11.13.3 AUTOAI Smart Networked Vehicle Solution Introduction
11.13.4 AUTOAI Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.13.5 AUTOAI Recent Development
11.14 Hopechart
11.14.1 Hopechart Company Details
11.14.2 Hopechart Business Overview
11.14.3 Hopechart Smart Networked Vehicle Solution Introduction
11.14.4 Hopechart Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.14.5 Hopechart Recent Development
11.15 Beijing Sylincom Technology
11.15.1 Beijing Sylincom Technology Company Details
11.15.2 Beijing Sylincom Technology Business Overview
11.15.3 Beijing Sylincom Technology Smart Networked Vehicle Solution Introduction
11.15.4 Beijing Sylincom Technology Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.15.5 Beijing Sylincom Technology Recent Development
11.16 China TransInfo Technology
11.16.1 China TransInfo Technology Company Details
11.16.2 China TransInfo Technology Business Overview
11.16.3 China TransInfo Technology Smart Networked Vehicle Solution Introduction
11.16.4 China TransInfo Technology Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.16.5 China TransInfo Technology Recent Development
11.17 BDStar Intelligent Connected Vehicle Technology
11.17.1 BDStar Intelligent Connected Vehicle Technology Company Details
11.17.2 BDStar Intelligent Connected Vehicle Technology Business Overview
11.17.3 BDStar Intelligent Connected Vehicle Technology Smart Networked Vehicle Solution Introduction
11.17.4 BDStar Intelligent Connected Vehicle Technology Revenue in Smart Networked Vehicle Solution Business (2020-2025)
11.17.5 BDStar Intelligent Connected Vehicle Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

IBM
General Motors
AUO Corporation
Geotab
Gorilla Technology
Huawei
KPIT Technologies
NXP Semiconductors
ADLINK
Ericsson
CONTUS
Kingsoft
AUTOAI
Hopechart
Beijing Sylincom Technology
China TransInfo Technology
BDStar Intelligent Connected Vehicle Technology

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.