Artificial Intelligence (AI) in the Freight Transportation - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244429

Publication Date:

November 4, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence (AI) in the Freight Transportation was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/51 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in the Freight Transportation, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in the Freight Transportation by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in the Freight Transportation market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in the Freight Transportation.
麻豆原创 Segmentation
By Company
Cargofy
FERO
KONUX
Segment by Type:
Hardware
Software
Segment by Application
Road Freight Transportation
Rail Freight Transportation
Air Freight Transportation
Ocean Freight Transportation
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence (AI) in the Freight Transportation manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence (AI) in the Freight Transportation in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence (AI) in the Freight Transportation in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 麻豆原创 Overview
1.1 Artificial Intelligence (AI) in the Freight Transportation Product Introduction
1.2 Global Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Size Forecast
1.3 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence (AI) in the Freight Transportation Industry Trends
1.3.2 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Challenges
1.3.4 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) in the Freight Transportation Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence (AI) in the Freight Transportation Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence (AI) in the Freight Transportation Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in the Freight Transportation Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in the Freight Transportation
2.6 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence (AI) in the Freight Transportation 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in the Freight Transportation Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in the Freight Transportation as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.2 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Road Freight Transportation
4.1.2 Rail Freight Transportation
4.1.3 Air Freight Transportation
4.1.4 Ocean Freight Transportation
4.2 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence (AI) in the Freight Transportation Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence (AI) in the Freight Transportation Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence (AI) in the Freight Transportation Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence (AI) in the Freight Transportation Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence (AI) in the Freight Transportation Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence (AI) in the Freight Transportation Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in the Freight Transportation Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence (AI) in the Freight Transportation Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.5.2 China Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence (AI) in the Freight Transportation Sales Value, 2019-2030
6.9.2 India Artificial Intelligence (AI) in the Freight Transportation Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence (AI) in the Freight Transportation Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Cargofy
7.1.1 Cargofy Profile
7.1.2 Cargofy Main Business
7.1.3 Cargofy Artificial Intelligence (AI) in the Freight Transportation Products, Services and Solutions
7.1.4 Cargofy Artificial Intelligence (AI) in the Freight Transportation Revenue (US$ Million) & (2019-2024)
7.1.5 Cargofy Recent Developments
7.2 FERO
7.2.1 FERO Profile
7.2.2 FERO Main Business
7.2.3 FERO Artificial Intelligence (AI) in the Freight Transportation Products, Services and Solutions
7.2.4 FERO Artificial Intelligence (AI) in the Freight Transportation Revenue (US$ Million) & (2019-2024)
7.2.5 FERO Recent Developments
7.3 KONUX
7.3.1 KONUX Profile
7.3.2 KONUX Main Business
7.3.3 KONUX Artificial Intelligence (AI) in the Freight Transportation Products, Services and Solutions
7.3.4 KONUX Artificial Intelligence (AI) in the Freight Transportation Revenue (US$ Million) & (2019-2024)
7.3.5 Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in the Freight Transportation Industrial Chain
8.2 Artificial Intelligence (AI) in the Freight Transportation Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence (AI) in the Freight Transportation Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in the Freight Transportation Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Cargofy
FERO
KONUX

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