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The Markets and Markets Report

‘AI’ in Transportation Market to grow to USD 10.30 Billion by 2030


The report ‘Artificial Intelligence in Transportation Market’ notes that the artificial intelligence in transportation market is projected to grow at a CAGR of 17.87% with the market size expected to grow from USD 1.21 Billion in 2017 to USD 10.30 Billion by 2030.

The emergence of autonomous trucks and industry-wide standards such as adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the artificial intelligence in transportation market. The growing demand for safety and security has created an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

Software segment holds the largest share

The software segment is estimated to hold the largest market share of the artificial intelligence in transportation market in 2017. In recent years, major developments have occurred in AI software solutions, platforms and related software development kits. These developments have taken place due to the need for advancement in the areas of object perception, machine translation and object recognition. Companies such as Alphabet (US), Microsoft (US), IBM (US) and Intel (US) are among the frontrunners in the development of AI software. All these companies are acquiring or investing heavily in start-ups to maintain a strong position in the artificial intelligence in transportation market. In March 2017, Intel (US) acquired Mobileye (Israel) for approximately USD 15 billion. Software for deep learning technology has a major share in the AI in transportation market. Therefore, the need for advancement in autonomous trucks has led to a large amount of funding for various start-ups in the North American region.

Data mining process is estimated to be the fastest growing segment of the artificial intelligence in transportation market from 2017 to 2030. A huge amount of data, collected from different sensors used in semi-autonomous or autonomous trucks can be used to train the trucks to detect or recognize images, obstacles and various scenarios one might encounter behind the wheel. Autonomous trucks have a potential of collecting more data from the outside environment, and hence, data mining will be of great importance. The North American region is estimated to have the largest market for data mining as the trucking industry has a huge influence on its economy. Similarly, the growing demand for predictive maintenance in transportation industry would boost the growth of the data mining process in the near future.

North America be the leading market

Transportation plays a significant role in the North American economy. According to American Trucker Association, there are 8.7 million truck-related jobs in the US, and the country still faces a shortage of truck drivers. Hence, major developments related to autonomous driving of trucks are taking place in this country. Additionally, incentives and high level of funding from the government plays a major role in the development of this technology. For instance, in 2016, the US government spent USD 4.00 billion to accelerate the acceptance of autonomous vehicles on US roads. Also, the Central North American Trade Corridor Association is planning to develop a driverless truck corridor from Mexico to Manitoba. Also, the region is home to leading technology companies such as Microsoft (US), Intel (US), and NVIDIA (US), which offer various AI technologies for vehicles in partnership with OEMs. Therefore, the North American region has a great potential for the growth of the artificial intelligence in transportation market.

The key software & Tier- I suppliers profiled in the report include Continental AG (Germany), Bosch (Germany), Microsoft (US), and NVIDIA (US). These systems and technologies are supplied to automotive OEMs such as Volvo (Sweden), Daimler (Germany), Scania (Sweden), and others.


Visual Analytics Market Worth USD 6.51 Billion by 2022


The report ‘Visual Analytics Market Global Forecast to 2022’ indicates that the visual analytics market is expected to grow from USD 2.57 Billion in 2017 to USD 6.51 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 20.4%. The major factors driving the visual analytics market are the rapid growth in volume and variety of business data, growing need for data-driven decision-making, and increasing demand for advanced analytics. The visual analytics market is growing rapidly because of the transformation from the traditional analytical techniques for analyzing business data to the advanced techniques and due to the massive surge of the flowing business data.

IT business function

The IT business function is expected to witness the highest CAGR during the forecast period because of the increasing need for IT departments across industries to have access to real-time analytics on Key Performance Indicators (KPIs) and the visualization of the percentage of helpdesk ticket requests resolved in the agreed time-frame to assess the success of on-going support.

Transportation and logistics

The transportation and logistics industry is expected to witness the highest CAGR during the forecast period because of the increasing need for managing the real-time data coming from various transportation and logistics activities, such as the vehicle’s schedule analysis and route analysis, based on the transportation and logistics activities conducted.

North America is to dominate

North America is expected to hold the largest share of the visual analytics market in 2017, due to the technological advancements and early adoption of analytical solutions in this region. The market size in Asia Pacific (APAC) is expected to grow at the highest CAGR from 2017 to 2022. The primary driving factors for this growth are the increasing technological adoption and huge opportunities across industries in the APAC countries, especially in India, China and Japan.

The report also encompasses different strategies, such as mergers and acquisitions, partnerships and collaborations, and product upgrading adopted by the major players to increase their shares in the market. Some of the major technology vendors include IBM (US), Oracle (US), SAP (Germany), SAS Institute (US), Tableau Software (US), Microsoft (US), MicroStrategy (US), TIBCO Software (US), Qlik (US), and Alteryx (US).

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