Asia-pacific Automotive Data Monetization Market Forecast 2023-2030
KEY FINDINGS
The Asia-Pacific automotive data monetization market is expected to grow at a CAGR of 35.06% during the forecast period 2023-2030. The region is witnessing a surge in connected car solutions, ride-hailing services, fleet operations, and other related services. This trend is anticipated to generate a substantial volume of data, presenting opportunities for companies to leverage and monetize this data.
MARKET INSIGHTS
China, Japan, India, South Korea, Singapore, Australia & New Zealand, and Rest of Asia-Pacific are evaluated in order to predict the growth of the Asia-Pacific automotive data monetization market. As of January 1, 2019, the central government in India implemented the AIS 140 Motor Vehicles Order, necessitating the installation of location tracking devices and emergency panic buttons in all new public transport vehicles (excluding taxis and rickshaws). This regulatory measure aims to enhance safety for passengers during travel and is anticipated to result in significant automotive data generation, thereby influencing the growth of the automotive data monetization market in the region.
South Korea, being a technologically advanced nation with the infrastructure and expertise, is well-equipped to meet the rising demands for the increasing complexity of automobiles. In South Korea, the adoption of automotive telematics is experiencing rapid growth, propelled by the surging popularity of connected vehicles and the government’s initiatives to foster the advancement of smart transportation systems. Leading South Korean automakers, including Hyundai and Kia, are spearheading the development and implementation of these technologies, making substantial investments in research and development.
COMPETITIVE INSIGHTS
Some of the leading companies in the market are Amazon Web Services Inc, Oracle Corporation, etc.
Our report offerings include:
• Explore key findings of the overall market
• Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
• Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
• Market Segmentation caters to a thorough assessment of key segments with their market estimations
• Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
• Key analytics: Porter’s Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
• Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
• Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments
- 1. Research Scope & Methodology
- 1.1. Study Objectives
- 1.2. Methodology
- 1.3. Assumptions & Limitations
- 2. Executive Summary
- 2.1. Market Size & Estimates
- 2.2. Market Overview
- 2.3. Scope Of Study
- 2.4. Crisis Scenario Analysis
- 2.5. Major Market Findings
- 2.5.1. Prevalence Of Vehicle Telematics To Aid Market Growth
- 2.5.2. Growing Focus Of Automotive Oems To Monetize Data
- 3. Market Dynamics
- 3.1. Key Drivers
- 3.1.1. Rising Vehicle Connectivity
- 3.1.2. New Market Avenues For Automotive Oems
- 3.2. Key Restraints
- 3.2.1. Cybersecurity Related Concerns
- 3.2.2. Legal Issues Related To The Monetization Of Private Data
- 4. Key Analytics
- 4.1. Key Market Trends
- 4.1.1. Emergence Of Internet Of Things (Iot)
- 4.2. Porter’s Five Forces Analysis
- 4.2.1. Buyers Power
- 4.2.2. Suppliers Power
- 4.2.3. Substitution
- 4.2.4. New Entrants
- 4.2.5. Industry Rivalry
- 4.3. Growth Prospect Mapping
- 4.4. Market Concentration Analysis
- 4.5. Value Chain Analysis
- 4.5.1. Data Aggregators
- 4.5.2. Automotive Oems
- 4.5.3. Customers
- 5. Market By Model
- 5.1. Direct
- 5.1.1. Market Forecast Figure
- 5.1.2. Segment Analysis
- 5.2. Indirect
- 5.2.1. Market Forecast Figure
- 5.2.2. Segment Analysis
- 6. Market By Deployment
- 6.1. Cloud
- 6.1.1. Market Forecast Figure
- 6.1.2. Segment Analysis
- 6.2. On-premises
- 6.2.1. Market Forecast Figure
- 6.2.2. Segment Analysis
- 7. Market By Application
- 7.1. Insurance
- 7.1.1. Market Forecast Figure
- 7.1.2. Segment Analysis
- 7.2. Mobility As A Service (Maas)
- 7.2.1. Market Forecast Figure
- 7.2.2. Segment Analysis
- 7.3. Predictive Maintenance
- 7.3.1. Market Forecast Figure
- 7.3.2. Segment Analysis
- 7.4. Government
- 7.4.1. Market Forecast Figure
- 7.4.2. Segment Analysis
- 8. Geographical Analysis
- 8.1. Asia-pacific
- 8.1.1. Market Size & Estimates
- 8.1.2. Asia-pacific Automotive Data Monetization Market Drivers
- 8.1.3. Asia-pacific Automotive Data Monetization Market Challenges
- 8.1.4. Asia-pacific Automotive Data Monetization Market Regulatory Framework
- 8.1.5. Key Players In Asia-pacific Automotive Data Monetization Market
- 8.1.6. Country Analysis
- 8.1.6.1. China
- 8.1.6.1.1. China Automotive Data Monetization Market Size & Opportunities
- 8.1.6.2. Japan
- 8.1.6.2.1. Japan Automotive Data Monetization Market Size & Opportunities
- 8.1.6.3. India
- 8.1.6.3.1. India Automotive Data Monetization Market Size & Opportunities
- 8.1.6.4. South Korea
- 8.1.6.4.1. South Korea Automotive Data Monetization Market Size & Opportunities
- 8.1.6.5. Singapore
- 8.1.6.5.1. Singapore Automotive Data Monetization Market Size & Opportunities
- 8.1.6.6. Australia & New Zealand
- 8.1.6.6.1. Australia & New Zealand Automotive Data Monetization Market Size & Opportunities
- 8.1.6.7. Rest Of Asia-pacific
- 8.1.6.7.1. Rest Of Asia-pacific Automotive Data Monetization Market Size & Opportunities
- 9. Competitive Landscape
- 9.1. Key Strategic Developments
- 9.1.1. Mergers & Acquisitions
- 9.1.2. Product Launches & Developments
- 9.1.3. Partnerships & Agreements
- 9.1.4. Business Expansions & Divestitures
- 9.2. Company Profiles
- 9.2.1. Amazon Web Services Inc
- 9.2.1.1. Company Overview
- 9.2.1.2. Products List
- 9.2.1.3. Strengths & Challenges
- 9.2.2. Caruso Gmbh
- 9.2.2.1. Company Overview
- 9.2.2.2. Products List
- 9.2.3. Continental Ag
- 9.2.3.1. Company Overview
- 9.2.3.2. Products List
- 9.2.3.3. Strengths & Challenges
- 9.2.4. Harman International
- 9.2.4.1. Company Overview
- 9.2.4.2. Products List
- 9.2.4.3. Strengths & Challenges
- 9.2.5. International Business Machines Corporation
- 9.2.5.1. Company Overview
- 9.2.5.2. Products List
- 9.2.5.3. Strengths & Challenges
- 9.2.6. Microsoft Corporation
- 9.2.6.1. Company Overview
- 9.2.6.2. Products List
- 9.2.6.3. Strengths & Challenges
- 9.2.7. Oracle Corporation
- 9.2.7.1. Company Overview
- 9.2.7.2. Products List
- 9.2.7.3. Strengths & Challenges
- 9.2.8. Otonomo Technologies Ltd
- 9.2.8.1. Company Overview
- 9.2.8.2. Products List
- 9.2.8.3. Strengths & Challenges
- 9.2.9. Tesla Inc
- 9.2.9.1. Company Overview
- 9.2.9.2. Products List
- 9.2.9.3. Strengths & Challenges
- 9.2.10. Tech Mahindra Limited
- 9.2.10.1. Company Overview
- 9.2.10.2. Products List
- 9.2.11. Vinli Inc
- 9.2.11.1. Company Overview
- 9.2.11.2. Products List
- 9.2.12. Wejo Limited
- 9.2.12.1. Company Overview
- 9.2.12.2. Products List
- 9.2.13. Xevo (Lear Corporation)
- 9.2.13.1. Company Overview
- 9.2.13.2. Products List
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