Global Automotive IoT 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI02241491

Publication Date:

February 14, 2024

Pages:

106

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

The global Automotive IoT market size was valued at US$ 29660 million in 2023. With growing demand in downstream market, the Automotive IoT is forecast to a readjusted size of US$ 82150 million by 2030 with a CAGR of 15.7% during review period.
The research report highlights the growth potential of the global Automotive IoT market. Automotive IoT are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Automotive IoT. 麻豆原创 players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Automotive IoT market.
Automotive is a key driver of this industry. According to data from the World Automobile Organization (OICA), global automobile production and sales in 2017 reached their peak in the past 10 years, at 97.3 million and 95.89 million respectively. In 2018, the global economic expansion ended, and the global auto market declined as a whole. In 2022, there will wear units 81.6 million vehicles in the world. At present, more than 90% of the world's automobiles are concentrated in the three continents of Asia, Europe and North America, of which Asia automobile production accounts for 56% of the world, Europe accounts for 20%, and North America accounts for 16%. The world major automobile producing countries include China, the United States, Japan, South Korea, Germany, India, Mexico, and other countries; among them, China is the largest automobile producing country in the world, accounting for about 32%. Japan is the world's largest car exporter, exporting more than 3.5 million vehicles in 2022.
Key Features:
The report on Automotive IoT market reflects various aspects and provide valuable insights into the industry.
麻豆原创 Size and Growth: The research report provide an overview of the current size and growth of the Automotive IoT market. It may include historical data, market segmentation by Type (e.g., Hardware, Software), and regional breakdowns.
麻豆原创 Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Automotive IoT market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Automotive IoT market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Automotive IoT industry. This include advancements in Automotive IoT technology, Automotive IoT new entrants, Automotive IoT new investment, and other innovations that are shaping the future of Automotive IoT.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Automotive IoT market. It includes factors influencing customer ' purchasing decisions, preferences for Automotive IoT product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Automotive IoT market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Automotive IoT market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Automotive IoT market.
麻豆原创 Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Automotive IoT industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Automotive IoT market.
麻豆原创 Segmentation:
Automotive IoT market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Hardware
Software
Services
Segmentation by application
Navigation
Telematics
Infotainment
Other
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google (US)
Apple (US)
OnStar (US)
Cisco Systems (US)
Microsoft (US)
Intel Corporation (US)
IBM Corporation (US)
Robert Bosch (Germany)
AutoNavi (China)
NAVINFO (China)
QiMing Information Technology (China)
Anhui Wantong Technology (China)

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 麻豆原创 Estimation Caveats
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Automotive IoT 麻豆原创 Size 2019-2030
2.1.2 Automotive IoT 麻豆原创 Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Automotive IoT Segment by Type
2.2.1 Hardware
2.2.2 Software
2.2.3 Services
2.3 Automotive IoT 麻豆原创 Size by Type
2.3.1 Automotive IoT 麻豆原创 Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Automotive IoT 麻豆原创 Size 麻豆原创 Share by Type (2019-2024)
2.4 Automotive IoT Segment by Application
2.4.1 Navigation
2.4.2 Telematics
2.4.3 Infotainment
2.4.4 Other
2.5 Automotive IoT 麻豆原创 Size by Application
2.5.1 Automotive IoT 麻豆原创 Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Automotive IoT 麻豆原创 Size 麻豆原创 Share by Application (2019-2024)
3 Automotive IoT 麻豆原创 Size by Player
3.1 Automotive IoT 麻豆原创 Size 麻豆原创 Share by Players
3.1.1 Global Automotive IoT Revenue by Players (2019-2024)
3.1.2 Global Automotive IoT Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Automotive IoT Key Players Head office and Products Offered
3.3 麻豆原创 Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Automotive IoT by Regions
4.1 Automotive IoT 麻豆原创 Size by Regions (2019-2024)
4.2 Americas Automotive IoT 麻豆原创 Size Growth (2019-2024)
4.3 APAC Automotive IoT 麻豆原创 Size Growth (2019-2024)
4.4 Europe Automotive IoT 麻豆原创 Size Growth (2019-2024)
4.5 Middle East & Africa Automotive IoT 麻豆原创 Size Growth (2019-2024)
5 Americas
5.1 Americas Automotive IoT 麻豆原创 Size by Country (2019-2024)
5.2 Americas Automotive IoT 麻豆原创 Size by Type (2019-2024)
5.3 Americas Automotive IoT 麻豆原创 Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Automotive IoT 麻豆原创 Size by Region (2019-2024)
6.2 APAC Automotive IoT 麻豆原创 Size by Type (2019-2024)
6.3 APAC Automotive IoT 麻豆原创 Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Automotive IoT by Country (2019-2024)
7.2 Europe Automotive IoT 麻豆原创 Size by Type (2019-2024)
7.3 Europe Automotive IoT 麻豆原创 Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Automotive IoT by Region (2019-2024)
8.2 Middle East & Africa Automotive IoT 麻豆原创 Size by Type (2019-2024)
8.3 Middle East & Africa Automotive IoT 麻豆原创 Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Global Automotive IoT 麻豆原创 Forecast
10.1 Global Automotive IoT Forecast by Regions (2025-2030)
10.1.1 Global Automotive IoT Forecast by Regions (2025-2030)
10.1.2 Americas Automotive IoT Forecast
10.1.3 APAC Automotive IoT Forecast
10.1.4 Europe Automotive IoT Forecast
10.1.5 Middle East & Africa Automotive IoT Forecast
10.2 Americas Automotive IoT Forecast by Country (2025-2030)
10.2.1 United States Automotive IoT 麻豆原创 Forecast
10.2.2 Canada Automotive IoT 麻豆原创 Forecast
10.2.3 Mexico Automotive IoT 麻豆原创 Forecast
10.2.4 Brazil Automotive IoT 麻豆原创 Forecast
10.3 APAC Automotive IoT Forecast by Region (2025-2030)
10.3.1 China Automotive IoT 麻豆原创 Forecast
10.3.2 Japan Automotive IoT 麻豆原创 Forecast
10.3.3 Korea Automotive IoT 麻豆原创 Forecast
10.3.4 Southeast Asia Automotive IoT 麻豆原创 Forecast
10.3.5 India Automotive IoT 麻豆原创 Forecast
10.3.6 Australia Automotive IoT 麻豆原创 Forecast
10.4 Europe Automotive IoT Forecast by Country (2025-2030)
10.4.1 Germany Automotive IoT 麻豆原创 Forecast
10.4.2 France Automotive IoT 麻豆原创 Forecast
10.4.3 UK Automotive IoT 麻豆原创 Forecast
10.4.4 Italy Automotive IoT 麻豆原创 Forecast
10.4.5 Russia Automotive IoT 麻豆原创 Forecast
10.5 Middle East & Africa Automotive IoT Forecast by Region (2025-2030)
10.5.1 Egypt Automotive IoT 麻豆原创 Forecast
10.5.2 South Africa Automotive IoT 麻豆原创 Forecast
10.5.3 Israel Automotive IoT 麻豆原创 Forecast
10.5.4 Turkey Automotive IoT 麻豆原创 Forecast
10.5.5 GCC Countries Automotive IoT 麻豆原创 Forecast
10.6 Global Automotive IoT Forecast by Type (2025-2030)
10.7 Global Automotive IoT Forecast by Application (2025-2030)

11 Key Players Analysis
11.1 Google (US)
11.1.1 Google (US) Company Information
11.1.2 Google (US) Automotive IoT Product Offered
11.1.3 Google (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.1.4 Google (US) Main Business Overview
11.1.5 Google (US) Latest Developments
11.2 Apple (US)
11.2.1 Apple (US) Company Information
11.2.2 Apple (US) Automotive IoT Product Offered
11.2.3 Apple (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.2.4 Apple (US) Main Business Overview
11.2.5 Apple (US) Latest Developments
11.3 OnStar (US)
11.3.1 OnStar (US) Company Information
11.3.2 OnStar (US) Automotive IoT Product Offered
11.3.3 OnStar (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.3.4 OnStar (US) Main Business Overview
11.3.5 OnStar (US) Latest Developments
11.4 Cisco Systems (US)
11.4.1 Cisco Systems (US) Company Information
11.4.2 Cisco Systems (US) Automotive IoT Product Offered
11.4.3 Cisco Systems (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.4.4 Cisco Systems (US) Main Business Overview
11.4.5 Cisco Systems (US) Latest Developments
11.5 Microsoft (US)
11.5.1 Microsoft (US) Company Information
11.5.2 Microsoft (US) Automotive IoT Product Offered
11.5.3 Microsoft (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.5.4 Microsoft (US) Main Business Overview
11.5.5 Microsoft (US) Latest Developments
11.6 Intel Corporation (US)
11.6.1 Intel Corporation (US) Company Information
11.6.2 Intel Corporation (US) Automotive IoT Product Offered
11.6.3 Intel Corporation (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.6.4 Intel Corporation (US) Main Business Overview
11.6.5 Intel Corporation (US) Latest Developments
11.7 IBM Corporation (US)
11.7.1 IBM Corporation (US) Company Information
11.7.2 IBM Corporation (US) Automotive IoT Product Offered
11.7.3 IBM Corporation (US) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.7.4 IBM Corporation (US) Main Business Overview
11.7.5 IBM Corporation (US) Latest Developments
11.8 Robert Bosch (Germany)
11.8.1 Robert Bosch (Germany) Company Information
11.8.2 Robert Bosch (Germany) Automotive IoT Product Offered
11.8.3 Robert Bosch (Germany) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.8.4 Robert Bosch (Germany) Main Business Overview
11.8.5 Robert Bosch (Germany) Latest Developments
11.9 AutoNavi (China)
11.9.1 AutoNavi (China) Company Information
11.9.2 AutoNavi (China) Automotive IoT Product Offered
11.9.3 AutoNavi (China) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.9.4 AutoNavi (China) Main Business Overview
11.9.5 AutoNavi (China) Latest Developments
11.10 NAVINFO (China)
11.10.1 NAVINFO (China) Company Information
11.10.2 NAVINFO (China) Automotive IoT Product Offered
11.10.3 NAVINFO (China) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.10.4 NAVINFO (China) Main Business Overview
11.10.5 NAVINFO (China) Latest Developments
11.11 QiMing Information Technology (China)
11.11.1 QiMing Information Technology (China) Company Information
11.11.2 QiMing Information Technology (China) Automotive IoT Product Offered
11.11.3 QiMing Information Technology (China) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.11.4 QiMing Information Technology (China) Main Business Overview
11.11.5 QiMing Information Technology (China) Latest Developments
11.12 Anhui Wantong Technology (China)
11.12.1 Anhui Wantong Technology (China) Company Information
11.12.2 Anhui Wantong Technology (China) Automotive IoT Product Offered
11.12.3 Anhui Wantong Technology (China) Automotive IoT Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
11.12.4 Anhui Wantong Technology (China) Main Business Overview
11.12.5 Anhui Wantong Technology (China) Latest Developments
12 Research Findings and Conclusion

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