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Global Automotive Artificial Intelligence (AI) Market Size By Segmentations, Top Key Players, Trend, Future Development & Forecast 2024-2035

  • PUBLISHED ON
  • 11/23/2022
  • NO OF PAGES
  • 221
  • CATEGORY
  • Information Technology
The competitive landscape analysis of Automotive Artificial Intelligence (AI) Market uncovers detailed company profiles, revenue shares, portfolio innovations, regional product footprint, key developmental strategies, pricing structure, target markets, and near-term plans of market leaders. This entire section helps readers gain an essence of what is driving competition and what would help them stand out to win new target markets.

Market estimates and forecast are backed by an extensive primary research, further complemented by on-point secondary research of Automotive Artificial Intelligence (AI) Market. The research analysts have invested significant time and effort in gathering critical industry information from KIPs such as OEMs, top suppliers and distributors, and government bodies.

Global Automotive Artificial Intelligence (AI) Scope and Market Size
Automotive Artificial Intelligence (AI) market is segmented by Company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Automotive Artificial Intelligence (AI) market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2022-2030.


Global Automotive Artificial Intelligence (AI) Market: By Types
Deep Learning
Machine Learning
Context Awareness
Computer Vision
Natural Language Processing

Global Automotive Artificial Intelligence (AI) Market: By Applications
Human–Machine Interface
Semi-autonomous Driving
Autonomous Driving

By Region
North America
Europe
Japan
China
Southeast Asia
India

Global Automotive Artificial Intelligence (AI) Market: Top Key Players
Alphabet
Bosch
Delphi
Harman International
NVIDIA
TomTom
Intel
Microsoft
Xilinx
Harman International
NVIDIA


Global Automotive Artificial Intelligence (AI) Market: Market Size Estimation
Both the top-down and bottom-up approaches were used to estimate and validate the size of the market and to estimate the size of various other dependent sub-markets of various marketspaces. The key players in the markets are identified through secondary research, and their market contributions in different applications across regions and globally were determined through primary and secondary research. This entire process included the study of the annual and financial reports of the top market players and extensive interviews for key insights with industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares, splits, and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to arrive at the final quantitative and qualitative data. This data has been consolidated, and detailed inputs and analysis from Analytics Market Research added before being presented in this report.

Reasons to Purchase Automotive Artificial Intelligence (AI) Market Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come

Frequently Asked Questions
• What is the market size and growth projections?
• What is the market size and growth projection for each of the market segments and sub-segments across Countries & Regions?
• What are the top performing segments, and countries / regions of each of the markets?
• What is the market size and growth rate across key countries / regions?
• How big is the global & regional market in terms of revenue and volume?
• How far market will grow in forecast period in terms of revenue and volume?
• What factors will influence demand and supply trends across each markets during the forecast period?
• What are the technology trends shaping various markets?
• Which country / region has more opportunities?
• What is the COVID-19 impact on the market and how long will it take to recover?
• Who are the key competitors of market Players?
• What are the market share (%) of Key Players?
• What are the Merger & Acquisition, New Product Launch, Recent Development within each of the Markets?
• What are PEST analysis, Ecosystem Analysis, Porter's Five Forecast Analysis, Ansoff Matrix, and SWOT Analysis among other analyses for diverse markets?
Base Year: 2023
Historic Year: 2016-2022
Forecast: 2024-2035
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automotive Artificial Intelligence (AI) Market Size Growth Rate by Type (2022-2030)
1.2.2 Deep Learning
1.2.3 Machine Learning
1.2.4 Context Awareness
1.2.5 Computer Vision
1.2.6 Natural Language Processing
1.3 Market by Application
1.3.1 Global Automotive Artificial Intelligence (AI) Market Share by Application (2022-2030)
1.3.2 Human–Machine Interface
1.3.3 Semi-autonomous Driving
1.3.4 Autonomous Driving
1.4 Study Objectives
1.5 Years Considered

2 Executive Summary
2.1 Global Automotive Artificial Intelligence (AI) Market Size
2.2 Automotive Artificial Intelligence (AI) Market Size by Regions
2.2.1 Automotive Artificial Intelligence (AI) Growth Rate by Regions (2022-2030)
2.2.2 Automotive Artificial Intelligence (AI) Market Share by Regions (2022-2030)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Use Cases

3 Key Players
3.1 Automotive Artificial Intelligence (AI) Revenue by Players (2020-2021)
3.2 Automotive Artificial Intelligence (AI) Key Players Headquaters and Area Served
3.3 Key Players Automotive Artificial Intelligence (AI) Product/Solution/Service
3.4 Date of Enter into Automotive Artificial Intelligence (AI) Market
3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown by Type and by Application
4.1 Global Automotive Artificial Intelligence (AI) Market Size by Type (2022-2030)
4.2 Global Automotive Artificial Intelligence (AI) Market Size by Application (2022-2030)

5 North America
5.1 North America Automotive Artificial Intelligence (AI) Market Forecast (2022-2030)
5.2 Automotive Artificial Intelligence (AI) Key Players in North America
5.3 North America Automotive Artificial Intelligence (AI) Market Size by Type
5.4 North America Automotive Artificial Intelligence (AI) Market Size by Application

6 Europe
6.1 Europe Automotive Artificial Intelligence (AI) Market Forecast (2022-2030)
6.2 Automotive Artificial Intelligence (AI) Key Players in Europe
6.3 Europe Automotive Artificial Intelligence (AI) Market Size by Type
6.4 Europe Automotive Artificial Intelligence (AI) Market Size by Application

7 Japan
7.1 Japan Automotive Artificial Intelligence (AI) Market Forecast (2022-2030)
7.2 Automotive Artificial Intelligence (AI) Key Players in Europe
7.3 Japan Automotive Artificial Intelligence (AI) Market Size by Type
7.4 Japan Automotive Artificial Intelligence (AI) Market Size by Application

8 Rest of World
8.1 China
8.1.1 China Automotive Artificial Intelligence (AI) Market Analysis
8.1.2 Key Players in China
8.2 Southeast Asia
8.2.1 Southeast Asia Automotive Artificial Intelligence (AI) Market Analysis
8.2.2 Key Players in Southeast Asia
8.3 India
8.3.1 India Automotive Artificial Intelligence (AI) Market Analysis
8.3.2 Key Players in India


9 International Player Profiles
9.1 Alphabet
9.1.1 Alphabet Company Details
9.1.2 Alphabet Description and Business Overview
9.1.3 Alphabet Automotive Artificial Intelligence (AI) Introduction
9.1.4 Alphabet Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.1.5 Alphabet Recent Development
9.2 Bosch
9.2.1 Bosch Company Details
9.2.2 Bosch Description and Business Overview
9.2.3 Bosch Automotive Artificial Intelligence (AI) Introduction
9.2.4 Bosch Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.2.5 Bosch Recent Development
9.3 Delphi
9.3.1 Delphi Company Details
9.3.2 Delphi Description and Business Overview
9.3.3 Delphi Automotive Artificial Intelligence (AI) Introduction
9.3.4 Delphi Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.3.5 Delphi Recent Development
9.4 Harman International
9.4.1 Harman International Company Details
9.4.2 Harman International Description and Business Overview
9.4.3 Harman International Automotive Artificial Intelligence (AI) Introduction
9.4.4 Harman International Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.4.5 Harman International Recent Development
9.5 NVIDIA
9.5.1 NVIDIA Company Details
9.5.2 NVIDIA Description and Business Overview
9.5.3 NVIDIA Automotive Artificial Intelligence (AI) Introduction
9.5.4 NVIDIA Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.5.5 NVIDIA Recent Development
9.6 TomTom
9.6.1 TomTom Company Details
9.6.2 TomTom Description and Business Overview
9.6.3 TomTom Automotive Artificial Intelligence (AI) Introduction
9.6.4 TomTom Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.6.5 TomTom Recent Development
9.7 Intel
9.7.1 Intel Company Details
9.7.2 Intel Description and Business Overview
9.7.3 Intel Automotive Artificial Intelligence (AI) Introduction
9.7.4 Intel Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.7.5 Intel Recent Development
9.8 Microsoft
9.8.1 Microsoft Company Details
9.8.2 Microsoft Description and Business Overview
9.8.3 Microsoft Automotive Artificial Intelligence (AI) Introduction
9.8.4 Microsoft Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.8.5 Microsoft Recent Development
9.9 Xilinx
9.9.1 Xilinx Company Details
9.9.2 Xilinx Description and Business Overview
9.9.3 Xilinx Automotive Artificial Intelligence (AI) Introduction
9.9.4 Xilinx Revenue in Automotive Artificial Intelligence (AI) Business (2020-2021)
9.9.5 Xilinx Recent Development

10 Market Dynamics
10.1 Industry Trends
10.2 Market Drives
10.3 Market Challenges
10.4 Market Restraints

11 Key Findings in This Report
12 Appendix
12.1 Research Methodology
12.1.1 Methodology/Research Approach
12.1.2 Data Source
12.2 Disclaimer
12.3 Author Details

Quality Assurance Process

  1. We Market Research’s Quality Assurance program strives to deliver superior value to our clients.

We Market Research senior executive is assigned to each consulting engagement and works closely with the project team to deliver as per the clients expectations.

Market Research Process




We Market Research monitors 3 important attributes during the QA process- Cost, Schedule & Quality. We believe them as a critical benchmark in achieving a project’s success.

To mitigate risks that can impact project success, we deploy the follow project delivery best practices:
  • Project kickoff meeting with client
  • Conduct frequent client communications
  • Form project steering committee
  • Assign a senior SR executive as QA Executive
  • Conduct internal editorial & quality reviews of project deliverables
  • Certify project staff in SR methodologies & standards
  • Monitor client satisfaction
  • Monitor realized value post-project

Case Study- Automotive Sector

One of the key manufacturers of automotive had plans to invest in electric utility vehicles. The electric cars and associated markets being a of evolving nature, the automotive client approached Straits Research for a detailed insight on the market forecasts. The client specifically asked for competitive analysis, regulatory framework, regional prospects studied under the influence of drivers, challenges, opportunities, and pricing in terms of revenue and sales (million units).

Solution

The overall study was executed in three stages, intending to help the client meet its objective of precisely understanding the entire market before deciding on an investment. At first, secondary research was conducted considering political, economic, social, and technological parameters to get a gist of the various aspects of the market. This stage of the study concluded with the derivation of drivers, opportunities, and challenges. It also laid substantial emphasis on understanding and collecting data not only on a global scale but also on the regional and country levels. Data Extraction through Primary Research

The second stage involved primary research in which several market players and automotive parts suppliers were contacted to study their viewpoint concerning the development of their market and production capacity, clientele, and product line. This stage concluded in a brief understanding of the competitive ecosystem and also glanced through the strategies and pricing of the companies profiled.

Market Estimates and Forecast

In the final stage of the study, market forecasts for the electric utility were derived using multiple market engineering approaches. This data helped the client to get an overview of the market and accelerate the process of investment.

Case Study- ICT Sector

Business process outsourcing, being one of the lucrative markets from both supply- and demand- side, has appealed to various companies. One of the prominent corporations based out of Japan approached us with their requirements regarding the scope of the procurement outsourcing market for around 50 countries. Additionally, the client also sought key players operating in the market and their revenue breakdown in terms of region and application.


Business Solution

An exhaustive market study was conducted based on primary and secondary research that involved factors such as labor costs in various countries, skilled and technical labors, manufacturing scenario, and their respective contributions in the global GDP. A comparative study of the market was conducted from both supply- and demand side, with the supply-side comprising of notable companies, such as GEP, Accenture, and others, that provide these services. On the other hand, large manufacturing companies from them demand-side were considered that opt for these services.


Conclusion

The report aided the client in understanding the market trends, including country-level business scenarios, consumer behavior, and trends in 50 countries. The report also provided financial insights of crucial players and detailed market estimations and forecasts till 2028.

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