Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerin

Automotive Artificial Intelligence Market Research Report by Technology (Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing), by Process (Data Mining, Image Recognition, and Signal Recognition), by Offerings, by Application - United States Forecast to 2025 - Cumulative Impact of COVID-19

Market Statistics:

The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. This helps organization leaders make better decisions when currency exchange data is readily available.

The United States Automotive Artificial Intelligence Market is projected to grow with a significant CAGR in the forecast period. Economic development and substantial infrastructure development have constituted regional revenue generation. Further, the patterns associated with domestic production, import and export, and consumption have helped market participants to analyze and capitalize on potential opportunities. Besides, the qualitative and quantitative parameters provided in the report with detailed analysis highlights the driving and restraining factors of the United States Automotive Artificial Intelligence Market.

Market Segmentation & Coverage:

This research report categorizes the Automotive Artificial Intelligence to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the Automotive Artificial Intelligence Market studied across Computer Vision, Context Awareness, Deep Learning, Machine Learning, and Natural Language Processing.

Based on Process, the Automotive Artificial Intelligence Market studied across Data Mining, Image Recognition, and Signal Recognition.

Based on Offerings, the Automotive Artificial Intelligence Market studied across Hardware and Software. The Hardware further studied across Neuromorphic Architecture and Von Neumann Architecture. The Software further studied across Platforms and Solutions.

Based on Application, the Automotive Artificial Intelligence Market studied across Autonomous Vehicle, Human–Machine Interface, and Semi-Autonomous Driving.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

360iResearch™ FPNV Positioning Matrix:

The 360iResearch™ FPNV Positioning Matrix evaluates and categorizes the vendors in the Automotive Artificial Intelligence Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

360iResearch™ Competitive Strategic Window:

The 360iResearch™ Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The 360iResearch™ Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:

1. What is the market size and forecast of the United States Automotive Artificial Intelligence Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the United States Automotive Artificial Intelligence Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the United States Automotive Artificial Intelligence Market?
4. What is the competitive strategic window for opportunities in the United States Automotive Artificial Intelligence Market?
5. What are the technology trends and regulatory frameworks in the United States Automotive Artificial Intelligence Market?
6. What are the modes and strategic moves considered suitable for entering the United States Automotive Artificial Intelligence Market?


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
3. Executive Summary
3.1. Introduction
3.2. Market Outlook
3.3. Process Outlook
3.4. Technology Outlook
3.5. Application Outlook
3.6. Offerings Outlook
3.7. Competitor Outlook
4. Market Overview
4.1. Introduction
4.2. Cumulative Impact of COVID-19
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.2. Restraints
5.1.3. Opportunities
5.1.4. Challenges
6. United States Automotive Artificial Intelligence Market, By Technology
6.1. Introduction
6.2. Computer Vision
6.3. Context Awareness
6.4. Deep Learning
6.5. Machine Learning
6.6. Natural Language Processing
7. United States Automotive Artificial Intelligence Market, By Process
7.1. Introduction
7.2. Data Mining
7.3. Image Recognition
7.4. Signal Recognition
8. United States Automotive Artificial Intelligence Market, By Offerings
8.1. Introduction
8.2. Hardware
8.2.1. Neuromorphic Architecture
8.2.2. Von Neumann Architecture
8.3. Software
8.3.1. Platforms
8.3.2. Solutions
9. United States Automotive Artificial Intelligence Market, By Application
9.1. Introduction
9.2. Autonomous Vehicle
9.3. Human–Machine Interface
9.4. Semi-Autonomous Driving
10. Competitive Landscape
10.1. FPNV Positioning Matrix
10.1.1. Quadrants
10.1.2. Business Strategy
10.1.3. Product Satisfaction
10.2. Market Ranking Analysis
10.3. Market Share Analysis
10.4. Competitor SWOT Analysis
10.5. Competitive Scenario
10.5.1. Merger & Acquisition
10.5.2. Agreement, Collaboration, & Partnership
10.5.3. New Product Launch & Enhancement
10.5.4. Investment & Funding
10.5.5. Award, Recognition, & Expansion
11. Company Usability Profiles
12. Appendix
12.1. Discussion Guide

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