Market Insights:
With the transition from the radio signals-based conventional tracking system to the GPS or GPRS-enabled system, the organized taxi market in India witnessed a momentous growth. In FY 2019, the organized taxi market held a share of ~11.5% of the total revenue generated by the overall taxi market in India. The online taxi services market in India was valued at INR 29.75 Bn in FY 2019. Further, the market is anticipated to expand at a compound annual growth rate (CAGR) of ~16.60% to reach a sales value of INR 61.59 Bn by 2024. Rise in smartphone penetration in India, improved availability of high-speed internet connectivity, increasing investments in the online taxi market by the foreign institutional investors (FII) and swelling disposable income are the major factors that are driving the growth of the market. However, the imposition of goods and services tax (GST), shortage in the supply of online cab services as a consequence of the reduction in drivers’ incentives, surge in ride fares and extended wait-time for passengers, and the growing popularity of affordable ride-sharing services like SRide and Quick Ride are some of the factors impeding market growth. With the implementation of the new policy of the Indian government, that does not allow commercialization of ride-sharing services, the growth of the online taxi services market in India is expected to rebound.

Competition Analysis:
The online taxi services market in India is mainly driven by two major players – ANI Technologies Private Limited (Ola Cabs) and Uber India Systems Private Limited (Uber India). In FY 2019, Ola Cabs accounted for almost 72.44% of the total revenue generated by the online taxi services market in India, whereas, Uber India held a share of ~21.01%. Other players in the market include Meru Mobility Tech Private Limited, Mega Cabs Private Limited and Carzonrent (India) Private Limited, and together they held ~6.55% of the overall market in FY 2019. The transition from the radio signal-based tracking system to GPS and GPRS-based tracking system was introduced by the market leader, ANI Technologies Private Limited. The company’s extensive geographical reach within India (152 cities), coupled with its wide range of services available for customers belonging to different income profiles has helped the company to fetch such a high market share. Large scale investments by big private equity firms on major players of the market and introduction of new customer-friendly features in their applications by the companies are anticipated to further accelerate their market growth.

Companies covered
• ANI Technologies Private Limited
• Carzonrent (India) Private Limited
• Mega Cabs Private Limited
• Meru Mobility Tech Private Limited
• Savaari Car Rentals Private Limited
• Uber India Systems Private Limited

The post Online Taxi Services Market in India 2019 first appeared on CRI Report.

Further, state of the art customizations are increasingly replacing traditional automotive platforms – a trend that is strengthening in the automotive industry. This is fueling the development of a large number of intelligent platforms covering in-vehicle experiences, supply chains, automotive sales and marketing, insurance tools, vehicle ecommerce and other applications – that are detailed in the report.

Organizations are adopting the merger and acquisition (M&A) route as a key strategy for acquiring AI skills, technologies, and relevant portfolios for leveraging organic and inorganic growth opportunities in the mobility market. Such initiatives are poised to create high potential for these acquirers, by helping them launch new AI services and increase their customer base.

Artificial Intelligence In The Automotive Industry – Acquisition Trends

The report includes an analysis of more than 60 deals with a detailed technology overview, deal amount, and the purpose of acquisition. The acquisitions listed in the report capture the intricate requirements of automotive sector to upgrade its value in the marketplace.

Our M&A analysis section offers a comprehensive view of the transactions in the automotive sector, spanning AI, machine learning, and deep learning technologies. The different target technology areas highlighted include intelligent vision systems, data analytics, cloud computing, AI hardware and software, localization, security and other related software stacks.

Some of the prominent deals observed include:

– Intel – Mobileye
– Analog Devices – OtoSense
– Baidu – xPerception
– Continental – Argus Cyber security
– Xilinx – Deephi
– Daimler – Torc
– Zurich Insurance – Brightbox
– Blackberry – Cylance
– DoorDash – IvI5
– WPCS International – DropCar
– Verizon – Telogis

Key Insights:
– Automotive suppliers are leading the AI acquisition trend with a focus on acquiring complementary skills such as computer vision, gesture recognition, and AI-based analytics.
– In terms of technology, computer vision has attracted the largest number of acquires due to its capabilities for object detection, classification, and semantic segmentation.
– AI-based data analytics, conversational AI, intelligent hardware and software solutions, and annotation techniques are the other key technology areas that are prominent in the acquisition trend.
– Acquirers are targeting AI companies for tuck-ins, business line expansion, and vertical and horizontal integration.
– Ford, Intel, and Baidu have made three acquisitions each for gaining AI technologies for the mobility market.
– Uber has made two acquisitions related to data-training capabilities.
– Acquisition trends suggest that automotive retail is undergoing a transformation, with dealers and automotive suppliers focusing on customer-centric solutions.

Key questions addressed in the report:
– What are the key trends driving AI adoption in the automotive industry?
How new business models are driving the need to acquire AI capabilities in the automotive industry?
– What is the span of M&A activity in the automotive value chain?
– How is the acquisition trend changing over the years?
– How are target companies leading the acquisition of different AI technologies in the US, Europe, Asia, and other regions?
– Who are the different acquirers actively involved in the acquisition scenario?
– What are the different AI technology capabilities acquired in the automotive space?
– How are the acquired AI capabilities such as computer vision, AI-based analytics, data training, and other technologies strengthening the portfolio of the acquirers?
– What are the post-acquisition scenarios for the major deals?
– What are the untapped technology areas that can be considered as potential targets in the future?

Global ADAS and Autonomous Driving Component Market Anticipated to Reach $66.23 Billion by 2030

The post Artificial Intelligence In The Automotive Industry – M&A Trend Analysis first appeared on CRI Report.

Automotive Blockchain Services
This section of the report identifies different blockchain-enabled automotive solutions that are or can be realized – mobility services, supply chain services, electric vehicle charging, vehicle autonomy, data monetization, and data history, insurance, marketplace, loyalty, and other solutions – whilst providing detailed info. on the space. The information in this section encompasses an overview of the industry, details of the startup ecosystem, leading startups and their offerings, case studies, and revenue models. This section also lists and profiles startups and technology companies creating a niche and leaving a mark on the industry. Some of the top companies focused on delivering automotive-linked services through blockchain-enabled solutions have also been profiled briefly in this section.

The post Blockchain Adoption In Automotive Industry first appeared on CRI Report.