Artificial Intelligence in Transportation Market Emerging Trends And Technology 2027 AB Volvo, Daimler AG., Robert Bosch GmbH, NVIDIA Corporation, Intel Corporation, Microsoft, Aimotive, Third Space Auto Ltd., MOMENTA, and Xevo

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The research report evaluates the Artificial Intelligence in Transportation market in an all-inclusive manner by explaining the prime characteristics of the market that is likely to have a quantifiable influence on its progressive scenarios over the forecast period.

The "Global Artificial intelligence in Transportation Market Analysis to 2027" is a specialized and in-depth study of the artificial intelligence in transportation industry with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence in transportation market with detailed market segmentation by offering, technology, application, process, and geography. The global artificial intelligence in transportation market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence in transportation market.

Artificial intelligence in transportation helps the transportation companies to ensure public safety for their service. Artificial Intelligence in transportation makes use of various concepts like deep learning, computer vision, and context awareness to know the way the drivers handle their resources. The global artificial intelligence in the transportation market is experiencing high demand due to the increasing popularity of the autonomous vehicle. Various organizations are using AI in transportation solutions for data collection and decision making. The growing use of autonomous vehicles, and need to control the operational costs are the major factors that are expected to support the growth of artificial intelligence in transportation market whereas failure in performance is the major factor that is expected to slow down the growth of this market.

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The report provides a detailed overview of the artificial intelligence in transportation industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence in transportation market based on by offering, technology, application, and process. It also provides market size and forecast till 2027 for overall artificial intelligence in transportation market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The List of Companies

1. AB Volvo
2. Daimler AG.
3. Robert Bosch GmbH
4. NVIDIA Corporation
5. Intel Corporation
6. Microsoft
7. Aimotive
8. Third Space Auto Ltd.
9. MOMENTA
10. Xevo

Besides this, the report analyzes factors affecting artificial intelligence in transportation market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis. Further, the report also includes ecosystem analysis for the artificial intelligence in transportation market.

TABLE OF CONTENTS

1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1. Artificial Intelligence in Marketing Market - By Offering
1.3.2. Artificial Intelligence in Marketing Market - By Technology
1.3.3. Artificial Intelligence in Marketing Market - By Application
1.3.4. Artificial Intelligence in Marketing Market - By Process
1.3.5. Artificial Intelligence in Marketing Market - By Region
1.3.5.1. By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET LANDSCAPE
4.1. OVERVIEW
4.2. ECOSYSTEM ANALYSIS
4.3. PEST ANALYSIS
4.3.1. North America - PEST Analysis
4.3.2. Europe - PEST Analysis
4.3.3. Asia Pacific (APAC) - PEST Analysis
4.3.4. Middle East & Africa (MEA) - PEST Analysis
4.3.5. South America (SAM)- PEST Analysis
5. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET - KEY PROCESS DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS

6. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET - GLOBAL MARKET ANALYSIS
6.1. ARTIFICIAL INTELLIGENCE IN MARKETING - GLOBAL MARKET OVERVIEW
6.2. ARTIFICIAL INTELLIGENCE IN MARKETING - GLOBAL MARKET AND FORECAST T-2027
6.3. MARKET POSITIONING/ MARKET SHARE
7. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET REVENUE AND FORECASTS T-2027 - OFFERING
7.1. OVERVIEW
7.2. OFFERING MARKET FORECASTS AND ANALYSIS
7.3. HARDWARE
7.3.1. Overview
7.3.2. Hardware Market Forecast and Analysis
7.4. SOFTWARE
7.4.1. Overview
7.4.2. Software Market Forecast and Analysis
8. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET REVENUE AND FORECASTS T-2027 - TECHNOLOGY
8.1. OVERVIEW
8.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3. DEEP LEARNING
8.3.1. Overview
8.3.2. Deep Learning Market Forecast and Analysis
8.4. COMPUTER VISION
8.4.1. Overview
8.4.2. Computer Vision Market Forecast and Analysis

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