2031 年交通运输市场人工智能分析及预测(按规模、份额、增长和趋势)

  • Report Code : TIPRE00007768
  • Category : Automotive and Transportation
  • No. of Pages : 150
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Artificial Intelligence in Transportation Market Forecast by 2031

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预计 2023 年至 2031 年期间,交通运输市场的人工智能复合年增长率将达到 16.5%。机器学习技术的进步和人工智能与车辆的集成可能仍是市场的主要趋势。

交通运输人工智能市场分析

  • 由于交通运输行业对人工智能的消费不断增加,交通运输人工智能市场正在经历巨大的增长。由于自动化技术中人工智能的不断进步,学习技术自动化的消费急剧增加。
  • 产品创新的整合预计将推动未来几年交通运输领域对人工智能的需求增长。此外,由于具有智能集成功能的自动驾驶汽车的进步,未来几年全球交通运输人工智能市场将呈指数级增长,北美预计将继续保持其在交通运输人工智能市场中最大的份额。
  • 全球运输市场中的人工智能也得到了自动驾驶卡车投资增加和监管发展的支持。这使得运输人工智能市场非常有利可图,利益相关者可以从运输市场中人工智能的巨大潜力中获益。

交通运输人工智能市场概览

  • 预计未来几年,交通运输市场的人工智能将呈现显著增长。交通运输领域大量采用人工智能技术是促进交通运输市场人工智能增长的主要因素。自动驾驶汽车、自动化技术、停车和车道变换辅助系统、智能能源系统等是交通运输行业必须采用的一些技术,因为它们的提供可以帮助公司节省时间和成本。
  • 安全和保障在吸引消费者方面发挥着至关重要的作用,也是交通运输人工智能市场的主要驱动力之一。在当今世界,制造商面临着降低运营成本的压力。商业组织正在将重点从白日梦转向实际应用,并了解交通运输中的人工智能对于降低成本和提高效率的重要性,这一举措预计将推动交通运输市场人工智能的增长。

战略洞察

交通运输中的人工智能市场驱动因素和机遇

自动化技术进步推动交通运输业对人工智能的需求,利好市场

  • 交通运输对人工智能的需求不断增长,主要得益于自动化技术的进步。这些技术正在推动整个交通运输领域对人工智能的使用日益增多。
  • 推动市场发展的主要因素包括采用计算机视觉和机器学习等先进技术,例如,更智能的技术正在监控和重新设计交通的未来,优先考虑乘客的安全,减少道路事故和交通拥堵;大数据和机器学习可提高安全标准和运营效率。例如,基于人工智能的解决方案减少了道路事故的数量,改善了交通管理和安全措施。
  •  此外,自动化和效率是交通运输对人工智能需求不断增长的两个主要因素。一方面,人工智能是一种可以帮助实现交通运输日常业务活动的自动化和改进的技术。

卡车排队的概念

  • 交通运输领域自动化程度的提高为人工智能带来了增长机会——交通运输市场人工智能技术可以通过特斯拉自动驾驶仪同时协助人类和机器驾驶员,从而改变自动驾驶汽车的格局。为了提供这种帮助,所有形式的自动驾驶汽车都必须首先配备先进的人工智能技术,使它们能够“看到”道路上的情况,理解相应的动作(例如手势和标志),并对这些情况做出反应。使用人工智能生成的规则和行为是使车辆能够自主运行的关键支持技术。
  •  此外,人工智能有望使先进的决策系统能够以精简的方式穿越交通,并更轻松地规划路线。此外,高度智能的自主交通管理解决方案可以提高交通系统的流动性和可靠性。有了这些元素的发挥作用,我们可以期待无缝的交通体验。

 

交通运输人工智能市场报告细分分析

有助于得出交通运输市场人工智能分析的关键部分是机器学习技术、应用和流程。

  • 基于机器学习技术,交通运输市场的人工智能分为深度学习、计算视觉和其他。
  • 根据应用,市场分为半自动驾驶汽车、自动驾驶汽车、HMI 和其他。
  • 根据流程,交通运输市场的人工智能分为数据挖掘、图像识别和信号识别。

交通运输领域人工智能市场份额地域分析

  • 交通运输市场人工智能报告包括对五大地理区域的详细分析,包括当前和历史市场规模以及 2021 年至 2031 年的预测,涵盖北美、欧洲、亚太地区 (APAC)、中东和非洲 (MEA) 以及南美。APAC), Middle East and Africa (MEA), and South America.
  • 每个地区进一步细分为各个国家。本报告提供 18 个国家的分析和预测,涵盖交通运输市场动态中的人工智能,例如影响区域市场的驱动因素、趋势和机会。
  • 此外,该报告还涵盖了 PEST 分析,其中涉及影响这些地区交通运输市场人工智能的主要因素的研究。

交通运输市场人工智能报告范围

交通运输市场人工智能新闻和最新发展

通过收集初步和二次研究后的定性和定量数据来评估运输市场的人工智能,其中包括重要的公司出版物、协会数据和数据库。以下列出了运输市场人工智能的一些发展:

  • 亚马逊公司推出了新的人工智能技术,可以检查送货车并帮助确保司机安全。(来源:Amzaon.com, Inc.,新闻稿,公司网站,2023 年 10 月)
  • 美国交通部拨款 1500 万美元联邦资金,用于帮助小型企业利用 AI 系统和新应用为美国交通运输行业服务。(来源:美国交通部政府网站)
  • Windracers 是一家总部位于英国的全球货运车辆运营商,与普渡大学合作成立了数字、自动驾驶和增强航空人工智能中心。此次合作旨在创新未来的自动驾驶航空运输模式。(来源:普渡大学,大学网站,2024 年 4 月)

交通运输市场人工智能报告范围和交付成果

“交通运输市场人工智能规模及预测(2021-2031)”报告对以下领域进行了详细的市场分析:

  • 运输领域人工智能的市场规模以及范围涵盖的所有关键细分市场的全球、区域和国家层面的预测
  • 交通运输市场趋势中的人工智能以及驱动因素、限制因素和关键机遇等市场动态
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 交通运输市场人工智能分析涵盖主要市场趋势、全球和、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热图分析、知名参与者以及运输市场人工智能的最新发展
  • 详细的公司简介

Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

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to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

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to country scope.

Frequently Asked Questions


What are the driving factors impacting the global artificial intelligence in transportation market?

The demand for AI in transportation owing to the advancement in automation technology is the major factors driving the artificial intelligence in transportation market.

What are the future trends of the artificial intelligence in transportation market?

Advancements in machine learning technology and the integration of AI in vehicles is the key future trend in the global artificial intelligence in transportation market in the coming years.

Which are the leading players operating in the artificial intelligence in transportation market?

The leading players operating in the artificial intelligence in transportation market include Bosch, Alphabet, Daimler, Magna, Man Energy Solutions, Scanea, Valeo, Volvo, Xevo, and ZF.

What are the deliverable formats of the artificial intelligence in transportation market report?

The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.

What are the options available for the customization of this report?

Some of the customization options available based on the request are an additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.

What is the expected CAGR of the artificial intelligence in transportation market?

The global artificial intelligence in transportation market is expected to grow at a CAGR of 16.5% during the forecast period 2023 - 2031.

The List of Companies

1. Accenture PLC
2. Amazon Web Services, Inc.
3. door2door GmbH
4. General Electric Company
5. IBM Corporation
6. Intel Corporation
7. KONUX GmbH
8. Microsoft Corporation
9. Nvidia
10. Volvo Group

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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