Artificial Intelligence in Transportation Market Trends, Growth and Size - 2031
Coverage: Artificial Intelligence in Transportation Market covers analysis By Machine Learning Technology (Deep Learning, Compute Vision, Others), Application (Semi-Autonomous Vehicles, Autonomous Vehicles, HMI, and Others), Process (Data Mining, Image Recognition, and Signal Recognition), and Geography
- Report Date : Nov 2025
- Report Code : TIPRE00007768
- Category : Technology, Media and Telecommunications
- Status : Upcoming
- Available Report Formats :
- No. of Pages : 150
The Artificial Intelligence in Transportation Market is expected to register a CAGR of XX% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.
The report is categorized by Offering (Software, Hardware) and further analyzes the market based on Application (Autonomous Trucks, HMI in Trucks, Semi-Autonomous Trucks). It also examines the market by Technology (Deep Learning, Computer Vision, NLP, Context Awareness) and Industry Process (Signal Recognition, Data Mining, Image Recognition). A comprehensive breakdown is provided at global, regional, and country levels for each of these key segments.
The report includes market size and forecasts across all segments, presenting values in USD. It also delivers key statistics on the current market status of leading players, along with insights into prevailing market trends and emerging opportunities.
Purpose of the Report
The report Artificial Intelligence in Transportation Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:
- Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
- Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
- Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.
Artificial Intelligence in Transportation Market Segmentation
Offering
- Software
- Hardware
Application
- Autonomous Trucks
- HMI in Trucks
- Semi-Autonomous Trucks
Technology
- Deep Learning
- Computer Vision
- NLP
- Context Awareness
Process
- Signal Recognition
- Data Mining
- Image Recognition
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Artificial Intelligence in Transportation Market: Strategic Insights
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Artificial Intelligence in Transportation Market Growth Drivers
- Unlocking AI's Potential: Transforming Transportation Efficiency
- Driving Innovation: AI Solutions for Smarter Logistics
- Navigating the Future: AI Enhancing Safety in Transportation
Artificial Intelligence in Transportation Market Future Trends
- Unlocking AI: Transforming Transportation for a Greener Future
- Navigating New Roads: AI Innovations in Urban Mobility
- Driving Efficiency: AI Solutions for Smarter Logistics
Artificial Intelligence in Transportation Market Opportunities
- AI-Powered Vehicles: Redefining Safety and Efficiency in Transit
- Smart Traffic Management: AI Optimizing Urban Mobility
- Personalized Travel Experiences: AI Tailoring Journeys for Everyone
Market Report Scope
Key Selling Points
- Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Artificial Intelligence in Transportation Market, providing a holistic landscape.
- Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
- Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
- Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.
The research report on the Artificial Intelligence in Transportation Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The demand for AI in transportation owing to the advancement in automation technology is the major factors driving 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.
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.
The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.
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.
The global artificial intelligence in transportation market is expected to grow at a CAGR of 16.5% during the forecast period 2023 - 2031.
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 Transportation Market - By Offering
1.3.2 Artificial Intelligence In Transportation Market - By Application
1.3.3 Artificial Intelligence In Transportation Market - By Technology
1.3.4 Artificial Intelligence In Transportation Market - By Process
1.3.5 Artificial Intelligence In Transportation Market - By Region
1.3.5.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET - KEY MARKET 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 TRANSPORTATION MARKET - GLOBAL MARKET ANALYSIS
6.1. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION - GLOBAL MARKET OVERVIEW
6.2. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION - GLOBAL MARKET AND FORECAST TO 2027
6.3. MARKET POSITIONING/MARKET SHARE
7. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET - REVENUE AND FORECASTS TO 2027 - OFFERING
7.1. OVERVIEW
7.2. OFFERING MARKET FORECASTS AND ANALYSIS
7.3. SOFTWARE
7.3.1. Overview
7.3.2. Software Market Forecast and Analysis
7.4. HARDWARE
7.4.1. Overview
7.4.2. Hardware Market Forecast and Analysis
8. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET - REVENUE AND FORECASTS TO 2027 - APPLICATION
8.1. OVERVIEW
8.2. APPLICATION MARKET FORECASTS AND ANALYSIS
8.3. AUTONOMOUS TRUCKS
8.3.1. Overview
8.3.2. Autonomous Trucks Market Forecast and Analysis
8.4. HMI IN TRUCKS
8.4.1. Overview
8.4.2. HMI in Trucks Market Forecast and Analysis
8.5. SEMI-AUTONOMOUS TRUCKS
8.5.1. Overview
8.5.2. Semi-Autonomous Trucks Market Forecast and Analysis
9. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET - REVENUE AND FORECASTS TO 2027 - TECHNOLOGY
9.1. OVERVIEW
9.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
9.3. DEEP LEARNING
9.3.1. Overview
9.3.2. Deep Learning Market Forecast and Analysis
9.4. COMPUTER VISION
9.4.1. Overview
9.4.2. Computer Vision Market Forecast and Analysis
9.5. NLP
9.5.1. Overview
9.5.2. NLP Market Forecast and Analysis
9.6. CONTEXT AWARENESS
9.6.1. Overview
9.6.2. Context Awareness Market Forecast and Analysis
10. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET - REVENUE AND FORECASTS TO 2027 - PROCESS
10.1. OVERVIEW
10.2. PROCESS MARKET FORECASTS AND ANALYSIS
10.3. SIGNAL RECOGNITION
10.3.1. Overview
10.3.2. Signal Recognition Market Forecast and Analysis
10.4. DATA MINING
10.4.1. Overview
10.4.2. Data Mining Market Forecast and Analysis
10.5. IMAGE RECOGNITION
10.5.1. Overview
10.5.2. Image Recognition Market Forecast and Analysis
11. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
11.1. NORTH AMERICA
11.1.1 North America Artificial Intelligence In Transportation Market Overview
11.1.2 North America Artificial Intelligence In Transportation Market Forecasts and Analysis
11.1.3 North America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Offering
11.1.4 North America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Application
11.1.5 North America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Technology
11.1.6 North America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Process
11.1.7 North America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Countries
11.1.7.1 United States Artificial Intelligence In Transportation Market
11.1.7.1.1 United States Artificial Intelligence In Transportation Market by Offering
11.1.7.1.2 United States Artificial Intelligence In Transportation Market by Application
11.1.7.1.3 United States Artificial Intelligence In Transportation Market by Technology
11.1.7.1.4 United States Artificial Intelligence In Transportation Market by Process
11.1.7.2 Canada Artificial Intelligence In Transportation Market
11.1.7.2.1 Canada Artificial Intelligence In Transportation Market by Offering
11.1.7.2.2 Canada Artificial Intelligence In Transportation Market by Application
11.1.7.2.3 Canada Artificial Intelligence In Transportation Market by Technology
11.1.7.2.4 Canada Artificial Intelligence In Transportation Market by Process
11.1.7.3 Mexico Artificial Intelligence In Transportation Market
11.1.7.3.1 Mexico Artificial Intelligence In Transportation Market by Offering
11.1.7.3.2 Mexico Artificial Intelligence In Transportation Market by Application
11.1.7.3.3 Mexico Artificial Intelligence In Transportation Market by Technology
11.1.7.3.4 Mexico Artificial Intelligence In Transportation Market by Process
11.2. EUROPE
11.2.1 Europe Artificial Intelligence In Transportation Market Overview
11.2.2 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis
11.2.3 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis - By Offering
11.2.4 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis - By Application
11.2.5 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis - By Technology
11.2.6 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis - By Process
11.2.7 Europe Artificial Intelligence In Transportation Market Forecasts and Analysis - By Countries
11.2.7.1 Germany Artificial Intelligence In Transportation Market
11.2.7.1.1 Germany Artificial Intelligence In Transportation Market by Offering
11.2.7.1.2 Germany Artificial Intelligence In Transportation Market by Application
11.2.7.1.3 Germany Artificial Intelligence In Transportation Market by Technology
11.2.7.1.4 Germany Artificial Intelligence In Transportation Market by Process
11.2.7.2 France Artificial Intelligence In Transportation Market
11.2.7.2.1 France Artificial Intelligence In Transportation Market by Offering
11.2.7.2.2 France Artificial Intelligence In Transportation Market by Application
11.2.7.2.3 France Artificial Intelligence In Transportation Market by Technology
11.2.7.2.4 France Artificial Intelligence In Transportation Market by Process
11.2.7.3 Italy Artificial Intelligence In Transportation Market
11.2.7.3.1 Italy Artificial Intelligence In Transportation Market by Offering
11.2.7.3.2 Italy Artificial Intelligence In Transportation Market by Application
11.2.7.3.3 Italy Artificial Intelligence In Transportation Market by Technology
11.2.7.3.4 Italy Artificial Intelligence In Transportation Market by Process
11.2.7.4 United Kingdom Artificial Intelligence In Transportation Market
11.2.7.4.1 United Kingdom Artificial Intelligence In Transportation Market by Offering
11.2.7.4.2 United Kingdom Artificial Intelligence In Transportation Market by Application
11.2.7.4.3 United Kingdom Artificial Intelligence In Transportation Market by Technology
11.2.7.4.4 United Kingdom Artificial Intelligence In Transportation Market by Process
11.2.7.5 Russia Artificial Intelligence In Transportation Market
11.2.7.5.1 Russia Artificial Intelligence In Transportation Market by Offering
11.2.7.5.2 Russia Artificial Intelligence In Transportation Market by Application
11.2.7.5.3 Russia Artificial Intelligence In Transportation Market by Technology
11.2.7.5.4 Russia Artificial Intelligence In Transportation Market by Process
11.2.7.6 Rest of Europe Artificial Intelligence In Transportation Market
11.2.7.6.1 Rest of Europe Artificial Intelligence In Transportation Market by Offering
11.2.7.6.2 Rest of Europe Artificial Intelligence In Transportation Market by Application
11.2.7.6.3 Rest of Europe Artificial Intelligence In Transportation Market by Technology
11.2.7.6.4 Rest of Europe Artificial Intelligence In Transportation Market by Process
11.3. ASIA-PACIFIC
11.3.1 Asia-Pacific Artificial Intelligence In Transportation Market Overview
11.3.2 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis
11.3.3 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis - By Offering
11.3.4 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis - By Application
11.3.5 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis - By Technology
11.3.6 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis - By Process
11.3.7 Asia-Pacific Artificial Intelligence In Transportation Market Forecasts and Analysis - By Countries
11.3.7.1 Australia Artificial Intelligence In Transportation Market
11.3.7.1.1 Australia Artificial Intelligence In Transportation Market by Offering
11.3.7.1.2 Australia Artificial Intelligence In Transportation Market by Application
11.3.7.1.3 Australia Artificial Intelligence In Transportation Market by Technology
11.3.7.1.4 Australia Artificial Intelligence In Transportation Market by Process
11.3.7.2 China Artificial Intelligence In Transportation Market
11.3.7.2.1 China Artificial Intelligence In Transportation Market by Offering
11.3.7.2.2 China Artificial Intelligence In Transportation Market by Application
11.3.7.2.3 China Artificial Intelligence In Transportation Market by Technology
11.3.7.2.4 China Artificial Intelligence In Transportation Market by Process
11.3.7.3 India Artificial Intelligence In Transportation Market
11.3.7.3.1 India Artificial Intelligence In Transportation Market by Offering
11.3.7.3.2 India Artificial Intelligence In Transportation Market by Application
11.3.7.3.3 India Artificial Intelligence In Transportation Market by Technology
11.3.7.3.4 India Artificial Intelligence In Transportation Market by Process
11.3.7.4 Japan Artificial Intelligence In Transportation Market
11.3.7.4.1 Japan Artificial Intelligence In Transportation Market by Offering
11.3.7.4.2 Japan Artificial Intelligence In Transportation Market by Application
11.3.7.4.3 Japan Artificial Intelligence In Transportation Market by Technology
11.3.7.4.4 Japan Artificial Intelligence In Transportation Market by Process
11.3.7.5 South Korea Artificial Intelligence In Transportation Market
11.3.7.5.1 South Korea Artificial Intelligence In Transportation Market by Offering
11.3.7.5.2 South Korea Artificial Intelligence In Transportation Market by Application
11.3.7.5.3 South Korea Artificial Intelligence In Transportation Market by Technology
11.3.7.5.4 South Korea Artificial Intelligence In Transportation Market by Process
11.3.7.6 Rest of Asia-Pacific Artificial Intelligence In Transportation Market
11.3.7.6.1 Rest of Asia-Pacific Artificial Intelligence In Transportation Market by Offering
11.3.7.6.2 Rest of Asia-Pacific Artificial Intelligence In Transportation Market by Application
11.3.7.6.3 Rest of Asia-Pacific Artificial Intelligence In Transportation Market by Technology
11.3.7.6.4 Rest of Asia-Pacific Artificial Intelligence In Transportation Market by Process
11.4. MIDDLE EAST AND AFRICA
11.4.1 Middle East and Africa Artificial Intelligence In Transportation Market Overview
11.4.2 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis
11.4.3 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis - By Offering
11.4.4 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis - By Application
11.4.5 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis - By Technology
11.4.6 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis - By Process
11.4.7 Middle East and Africa Artificial Intelligence In Transportation Market Forecasts and Analysis - By Countries
11.4.7.1 South Africa Artificial Intelligence In Transportation Market
11.4.7.1.1 South Africa Artificial Intelligence In Transportation Market by Offering
11.4.7.1.2 South Africa Artificial Intelligence In Transportation Market by Application
11.4.7.1.3 South Africa Artificial Intelligence In Transportation Market by Technology
11.4.7.1.4 South Africa Artificial Intelligence In Transportation Market by Process
11.4.7.2 Saudi Arabia Artificial Intelligence In Transportation Market
11.4.7.2.1 Saudi Arabia Artificial Intelligence In Transportation Market by Offering
11.4.7.2.2 Saudi Arabia Artificial Intelligence In Transportation Market by Application
11.4.7.2.3 Saudi Arabia Artificial Intelligence In Transportation Market by Technology
11.4.7.2.4 Saudi Arabia Artificial Intelligence In Transportation Market by Process
11.4.7.3 U.A.E Artificial Intelligence In Transportation Market
11.4.7.3.1 U.A.E Artificial Intelligence In Transportation Market by Offering
11.4.7.3.2 U.A.E Artificial Intelligence In Transportation Market by Application
11.4.7.3.3 U.A.E Artificial Intelligence In Transportation Market by Technology
11.4.7.3.4 U.A.E Artificial Intelligence In Transportation Market by Process
11.4.7.4 Rest of Middle East and Africa Artificial Intelligence In Transportation Market
11.4.7.4.1 Rest of Middle East and Africa Artificial Intelligence In Transportation Market by Offering
11.4.7.4.2 Rest of Middle East and Africa Artificial Intelligence In Transportation Market by Application
11.4.7.4.3 Rest of Middle East and Africa Artificial Intelligence In Transportation Market by Technology
11.4.7.4.4 Rest of Middle East and Africa Artificial Intelligence In Transportation Market by Process
11.5. SOUTH AND CENTRAL AMERICA
11.5.1 South and Central America Artificial Intelligence In Transportation Market Overview
11.5.2 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis
11.5.3 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Offering
11.5.4 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Application
11.5.5 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Technology
11.5.6 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Process
11.5.7 South and Central America Artificial Intelligence In Transportation Market Forecasts and Analysis - By Countries
11.5.7.1 Brazil Artificial Intelligence In Transportation Market
11.5.7.1.1 Brazil Artificial Intelligence In Transportation Market by Offering
11.5.7.1.2 Brazil Artificial Intelligence In Transportation Market by Application
11.5.7.1.3 Brazil Artificial Intelligence In Transportation Market by Technology
11.5.7.1.4 Brazil Artificial Intelligence In Transportation Market by Process
11.5.7.2 Argentina Artificial Intelligence In Transportation Market
11.5.7.2.1 Argentina Artificial Intelligence In Transportation Market by Offering
11.5.7.2.2 Argentina Artificial Intelligence In Transportation Market by Application
11.5.7.2.3 Argentina Artificial Intelligence In Transportation Market by Technology
11.5.7.2.4 Argentina Artificial Intelligence In Transportation Market by Process
11.5.7.3 Rest of South and Central America Artificial Intelligence In Transportation Market
11.5.7.3.1 Rest of South and Central America Artificial Intelligence In Transportation Market by Offering
11.5.7.3.2 Rest of South and Central America Artificial Intelligence In Transportation Market by Application
11.5.7.3.3 Rest of South and Central America Artificial Intelligence In Transportation Market by Technology
11.5.7.3.4 Rest of South and Central America Artificial Intelligence In Transportation Market by Process
12. INDUSTRY LANDSCAPE
12.1. MERGERS AND ACQUISITIONS
12.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3. NEW PRODUCT LAUNCHES
12.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
13. ARTIFICIAL INTELLIGENCE IN TRANSPORTATION MARKET, KEY COMPANY PROFILES
13.1. ACCENTURE PLC
13.1.1. Key Facts
13.1.2. Business Description
13.1.3. Products and Services
13.1.4. Financial Overview
13.1.5. SWOT Analysis
13.1.6. Key Developments
13.2. AMAZON WEB SERVICES, INC.
13.2.1. Key Facts
13.2.2. Business Description
13.2.3. Products and Services
13.2.4. Financial Overview
13.2.5. SWOT Analysis
13.2.6. Key Developments
13.3. DOOR2DOOR GMBH
13.3.1. Key Facts
13.3.2. Business Description
13.3.3. Products and Services
13.3.4. Financial Overview
13.3.5. SWOT Analysis
13.3.6. Key Developments
13.4. GENERAL ELECTRIC COMPANY
13.4.1. Key Facts
13.4.2. Business Description
13.4.3. Products and Services
13.4.4. Financial Overview
13.4.5. SWOT Analysis
13.4.6. Key Developments
13.5. IBM CORPORATION
13.5.1. Key Facts
13.5.2. Business Description
13.5.3. Products and Services
13.5.4. Financial Overview
13.5.5. SWOT Analysis
13.5.6. Key Developments
13.6. INTEL CORPORATION
13.6.1. Key Facts
13.6.2. Business Description
13.6.3. Products and Services
13.6.4. Financial Overview
13.6.5. SWOT Analysis
13.6.6. Key Developments
13.7. KONUX GMBH
13.7.1. Key Facts
13.7.2. Business Description
13.7.3. Products and Services
13.7.4. Financial Overview
13.7.5. SWOT Analysis
13.7.6. Key Developments
13.8. MICROSOFT CORPORATION
13.8.1. Key Facts
13.8.2. Business Description
13.8.3. Products and Services
13.8.4. Financial Overview
13.8.5. SWOT Analysis
13.8.6. Key Developments
13.9. NVIDIA
13.9.1. Key Facts
13.9.2. Business Description
13.9.3. Products and Services
13.9.4. Financial Overview
13.9.5. SWOT Analysis
13.9.6. Key Developments
13.10. VOLVO GROUP
13.10.1. Key Facts
13.10.2. Business Description
13.10.3. Products and Services
13.10.4. Financial Overview
13.10.5. SWOT Analysis
13.10.6. Key Developments
14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients 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 organizations 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 the last 3 years are scrutinized and analyzed to understand the current market trends.
- 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/Sales 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:
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.
- 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.
- 3.1 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.
- 3.2 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.
- 3.3 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.
- 3.4 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.
- 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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