Automotive Artificial Intelligence Market
PUBLISHED: 2022 ID: SMRC21502
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Automotive Artificial Intelligence Market

Automotive Artificial Intelligence Market Forecasts to 2028 – Global Analysis By Technology (Computer Vision, Context-Aware Computing, Machine Learning & Deep Learning, Natural Language Processing (NLP)), Component, and By Geography

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4.4 (70 reviews)
Published: 2022 ID: SMRC21502

This report covers the impact of COVID-19 on this global market
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Years Covered

2020-2028

Estimated Year Value (2021)

US $2.23 BN

Projected Year Value (2028)

US $22.05 BN

CAGR (2021 - 2028)

38.7%

Regions Covered

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

Countries Covered

US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa

Largest Market

North America

Fastest Growing Market

Asia Pacific


According to Stratistics MRC, the Global Automotive Artificial Intelligence Market is accounted for $2.23 billion in 2021 and is expected to reach $22.05 billion by 2028 growing at a CAGR of 38.7% during the forecast period. Artificial intelligence is becoming a dynamic business norm. It is associated with human intelligence through similar characteristics such as language understanding, reasoning, learning, problem solving, and others. The rising adoption of automotive artificial intelligence is routing in a new era allowing the companies to track their operations, enhance in-car user experience, augment business strategies, provide a better outcome in the digital world, and develop autonomous and semi-autonomous vehicles.



Market Dynamics:

Driver:

Growing technological advancements


Considering the largest auto companies investing extensively in artificial intelligence for autos, industry-wide standards like navigation systems, sophisticated automated driving, and blind-spot alerts are expected to further fuel market expansion. Automotive vehicle provides many features such as adaptive cruise control, automatic emergency braking, automatic parking, lane departure warning systems, and adaptive headlights. With technological enhancements, the number of such features is continuously expanding. Automotive manufacturers are aggressively working towards incorporating advanced technologies in their vehicles for enhancing the user experience.

Restraint:

Lack of AI expertise


A lack of AI expertise is another big drawback in the auto and other industries, a skills gap that is not likely to be remedied anytime soon. The problem-solving inference phase also has drawbacks. Large models, especially for AVs, require tremendous computing resources to crunch sensor data and support complex software. Those resources also require power, which is always limited in auto applications. Emerging technologies will improve capabilities and reduce inferencing costs, including emerging AI chip technology, declining LIDAR prices and increased sensor performance.

Opportunity:

Rising demand for autonomous vehicles


As the adoption of artificial intelligence in autonomous vehicles progresses from needing driver assistance to having full autonomy, enhanced user experience and convenience features, driverless cars are becoming a reality. Autonomous vehicles are called driverless vehicles or self-driven that use artificial intelligence (AI) software, light detection & ranging (LiDAR), RADAR, computer vision, GPS sensing technology and sensors to operate without any human interference. The increasing government focus on streamlined traffic infrastructure and regulations, growing demand for a reliable transportation system, and availability of advanced technologies relevant for the automotive industry are driving the demand for autonomous and semi-autonomous vehicles.

Threat:

Rising privacy and security concerns


The autonomous vehicles have made life of consumers convenient and safe. On the other hand, there are certain threats that are faced by the manufacturers related to privacy and security concerns such as cyber-attacks, safety of personal data, and driver distractions. For instance, around 1.4 million Fiat Chryslers were recalled in the US due to a glitch in their dashboard computers that permitted hackers to disable the vehicle. In the similar manner, white hat hackers were successful in implanting malware into the system of a Tesla car. These instances of intruding customer’s privacy are some of the major threats for the global market.

The software segment is expected to be the largest during the forecast period

The software segment is estimated to have a lucrative growth due to the advanced technologies emerging in the market and necessity to upgrade systems in order to streamline processes and operations within the automotive industry. Moreover, the gradually decreasing deployment cost of cloud-based software solutions along with a rising need to connect multiple data points for seamless integration of processes will result in software segment emerging as the major shareholder in terms of components. 

The computer vision segment is expected to have the highest CAGR during the forecast period

The computer vision segment is anticipated to witness the fastest CAGR growth during the forecast period. Most of the companies across the globe have started to adopt image recognition as one of the artificial intelligence-based solutions in autonomous or semi-autonomous applications which is anticipated to reshape their business. This is mainly attributed to the soaring labor cost, widening the implementation scope of computer vision in autonomous vehicles for signal recognition, driver monitoring and increase in automation for carrying out core operations.

Region with highest share:

North America is projected to hold the largest market share during the forecast period due to the existence of significant manufacturers in this region. The increasing expectation of autonomous cars in the United States has made a substantial contribution to the expansion of the industry in this country. Moreover, as compared to other regions, this area has considerably greater accessibility of advanced technology to develop artificial intelligence systems. Favorable government regulations, combined with the fact that the automotive industry's leading companies, such as Ford Motor Company, Fiat Chrysler Automotive, and General Motors are taking a stand in the advancement of artificial intelligence in automobiles by continuously enhancing their products, will have a better prospect in the global market.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period due to the rising government initiatives, an increase in demand for premium vehicles, rising investments in AI technology for improved productivity, and adoption of AI-based solutions and services among autonomous and semi-autonomous applications. For instance, the South Korean government plans to expand the country’s production of automation systems and industrial robotics with investments into significant resources worth $6.15 billion. Several other instances similar to the aforementioned ones are indicating lucrative growth of the automotive artificial intelligence market in the region. In addition, developing internet and connectivity infrastructure, growing adoption of intelligent based solutions for automating operations and increasing digitalization are also augmenting the market growth in the Asia Pacific region.



Key players in the market

Some of the key players profiled in the Automotive Artificial Intelligence Market include Audi AG, BMW, Didi Chuxing, Ford Motor Company, General Motors Company, Honda Motor Co., Ltd, IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, NVIDIA Corporation, Otto Motors, Qualcomm Technologies, Inc, Tesla Inc, Toyota, Waymo, and Xilinx, Inc.

Key Developments:

In May 2021, Didi Chuxing has announced a strategic partnership with Volvo Cars on self-driving vehicles for DiDi's test fleet. Volvo Cars' autonomous drive-ready XC90 vehicles will be the first to feature DiDi Gemini, a new self-driving hardware platform outfitted with NVIDIA DRIVE AGX Pegasus. These vehicles, which are outfitted with DiDi's Gemini self-driving hardware platform, will eventually be used in robotaxi services.

In June 2020, Waymo and the Volvo Cars Group agreed to collaborate on the development of a self-driving electric vehicle for ride hailing as part of a new global cooperation. Waymo will concentrate on artificial intelligence and specific technology, like cameras, lidar, and radar, for the autonomous “driver.” Volvo will design and construct the automobiles.
 
Technologies Covered:
• Computer Vision
• Context-Aware Computing
• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
 
Components Covered:
• Hardware
• Software
• Services
 
Processes Covered:
• Data Mining
• Image Recognition
• Signal Recognition
• Voice Recognition
 
Applications Covered:
• Autonomous
• Semi-Autonomous Driving
• Human Machine Interface

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

 

Table of Contents

1 Executive Summary       
         
2 Preface       
 
 2.1 Abstract       
 2.2 Stake Holders      
 2.3 Research Scope      
 2.4 Research Methodology     
  2.4.1 Data Mining     
  2.4.2 Data Analysis     
  2.4.3 Data Validation     
  2.4.4 Research Approach     
 2.5 Research Sources      
  2.5.1 Primary Research Sources    
  2.5.2 Secondary Research Sources    
  2.5.3 Assumptions     
         
3 Market Trend Analysis      
 3.1 Introduction      
 3.2 Drivers       
 3.3 Restraints      
 3.4 Opportunities      
 3.5 Threats       
 3.6 Technology Analysis     
 3.7 Application Analysis     
 3.8 Emerging Markets      
 3.9 Impact of Covid-19      
          
4 Porters Five Force Analysis      
 4.1 Bargaining power of suppliers     
 4.2 Bargaining power of buyers     
 4.3 Threat of substitutes     
 4.4 Threat of new entrants     
 4.5 Competitive rivalry      
         
5 Global Automotive Artificial Intelligence Market, By Technology  
 5.1 Introduction      
 5.2 Computer Vision      
 5.3 Context-Aware Computing     
 5.4 Machine Learning & Deep Learning    
 5.5 Natural Language Processing (NLP)    
         
6 Global Automotive Artificial Intelligence Market, By Component  
 6.1 Introduction      
 6.2 Hardware      
  6.2.1 Memory      
  6.2.2 Networks     
  6.2.3 Processor     
   6.2.3.1 Graphics Processing Unit (GPU)  
   6.2.3.2 Microprocessor (MPU)   
 6.3 Software       
 6.4 Services       
         
7 Global Automotive Artificial Intelligence Market, By Process   
 7.1 Introduction      
 7.2 Data Mining      
 7.3 Image Recognition      
 7.4 Signal Recognition      
 7.5 Voice Recognition      
         
8 Global Automotive Artificial Intelligence Market, By Application  
 8.1 Introduction      
 8.2 Autonomous      
 8.3 Semi-Autonomous Driving     
 8.4 Human Machine Interface     
         
9 Global Automotive Artificial Intelligence Market, By Geography  
 9.1 Introduction      
 9.2 North America      
  9.2.1 US      
  9.2.2 Canada      
  9.2.3 Mexico      
 9.3 Europe       
  9.3.1 Germany      
  9.3.2 UK      
  9.3.3 Italy      
  9.3.4 France      
  9.3.5 Spain      
  9.3.6 Rest of Europe     
 9.4 Asia Pacific      
  9.4.1 Japan      
  9.4.2 China      
  9.4.3 India      
  9.4.4 Australia      
  9.4.5 New Zealand     
  9.4.6 South Korea     
  9.4.7 Rest of Asia Pacific     
 9.5 South America      
  9.5.1 Argentina     
  9.5.2 Brazil      
  9.5.3 Chile      
  9.5.4 Rest of South America    
 9.6 Middle East & Africa     
  9.6.1 Saudi Arabia     
  9.6.2 UAE      
  9.6.3 Qatar      
  9.6.4 South Africa     
  9.6.5 Rest of Middle East & Africa     
         
10 Key Developments       
 10.1 Agreements, Partnerships, Collaborations and Joint Ventures  
 10.2 Acquisitions & Mergers     
 10.3 New Product Launch     
 10.4 Expansions      
 10.5 Other Key Strategies     
         
11 Company Profiling       
 11.1 Audi AG       
 11.2 BMW       
 11.3 Didi Chuxing       
 11.4 Ford Motor Company     
 11.5 General Motors Company     
 11.6 Honda Motor Co., Ltd     
 11.7 IBM Corporation      
 11.8 Intel Corporation      
 11.9 Micron Technology      
 11.10 Microsoft Corporation     
 11.11 NVIDIA Corporation      
 11.12 Otto Motors      
 11.13 Qualcomm Technologies, Inc     
 11.14 Tesla Inc       
 11.15 Toyota       
 11.16 Waymo       
 11.17 Xilinx, Inc      


List of Tables        
1 Global Automotive Artificial Intelligence Market Outlook, By Region (2020-2028) ($MN)
2 Global Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
3 Global Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
4 Global Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
5 Global Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
6 Global Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
7 Global Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
8 Global Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
9 Global Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
10 Global Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
11 Global Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
12 Global Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
13 Global Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
14 Global Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
15 Global Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
16 Global Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
17 Global Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
18 Global Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
19 Global Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
20 Global Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
21 Global Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
22 Global Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
23 North America Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
24 North America Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
25 North America Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
26 North America Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
27 North America Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
28 North America Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
29 North America Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
30 North America Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
31 North America Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
32 North America Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
33 North America Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
34 North America Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
35 North America Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
36 North America Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
37 North America Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
38 North America Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
39 North America Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
40 North America Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
41 North America Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
42 North America Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
43 North America Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
44 North America Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
45 Europe Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
46 Europe Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
47 Europe Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
48 Europe Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
49 Europe Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
50 Europe Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
51 Europe Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
52 Europe Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
53 Europe Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
54 Europe Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
55 Europe Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
56 Europe Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
57 Europe Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
58 Europe Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
59 Europe Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
60 Europe Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
61 Europe Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
62 Europe Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
63 Europe Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
64 Europe Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
65 Europe Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
66 Europe Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
67 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
68 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
69 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
70 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
71 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
72 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
73 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
74 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
75 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
76 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
77 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
78 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
79 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
80 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
81 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
82 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
83 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
84 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
85 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
86 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
87 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
88 Asia Pacific Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
89 South America Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
90 South America Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
91 South America Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
92 South America Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
93 South America Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
94 South America Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
95 South America Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
96 South America Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
97 South America Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
98 South America Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
99 South America Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
100 South America Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
101 South America Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
102 South America Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
103 South America Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
104 South America Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
105 South America Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
106 South America Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
107 South America Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
108 South America Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
109 South America Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
110 South America Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)
111 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Country (2020-2028) ($MN)
112 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Technology (2020-2028) ($MN)
113 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Computer Vision (2020-2028) ($MN)
114 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Context-Aware Computing (2020-2028) ($MN)
115 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Machine Learning & Deep Learning (2020-2028) ($MN)
116 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
117 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Component (2020-2028) ($MN)
118 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Hardware (2020-2028) ($MN)
119 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Memory (2020-2028) ($MN)
120 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Networks (2020-2028) ($MN)
121 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Processor (2020-2028) ($MN)
122 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Software (2020-2028) ($MN)
123 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Services (2020-2028) ($MN)
124 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Process (2020-2028) ($MN)
125 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Data Mining (2020-2028) ($MN)
126 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Image Recognition (2020-2028) ($MN)
127 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Signal Recognition (2020-2028) ($MN)
128 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Voice Recognition (2020-2028) ($MN)
129 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Application (2020-2028) ($MN)
130 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Autonomous (2020-2028) ($MN)
131 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Semi-Autonomous Driving (2020-2028) ($MN)
132 Middle East & Africa Automotive Artificial Intelligence Market Outlook, By Human Machine Interface (2020-2028) ($MN)

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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We provide a free 15% customization on every purchase. This requirement can be fulfilled for both pre and post sale. You may send your customization requirements through email at info@strategymrc.com or call us on +1-301-202-5929.

Note: This customization is absolutely free until it falls under the 15% bracket. If your requirement exceeds this a feasibility check will be performed. Post that, a quote will be provided along with the timelines.

WHY CHOOSE US ?

Assured Quality

Assured Quality

Best in class reports with high standard of research integrity

24X7 Research Support

24X7 Research Support

Continuous support to ensure the best customer experience.

Free Customization

Free Customization

Adding more values to your product of interest.

Safe and Secure Access

Safe & Secure Access

Providing a secured environment for all online transactions.

Trusted by 600+ Brands

Trusted by 600+ Brands

Serving the most reputed brands across the world.

Testimonials