Search results for: 'learning and developement'

23 Jan 2018  |  North America  |  Market Research

Global Embedded Computing Ecosystem Market, Forecast to 2023

IoT is the Main Engine for Growth and Innovation in a Market Going through an Intense Consolidation Phase

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Key Issues Addressed

IoT, powered by embedded sensors and ubiquitous cloud/mobile computing, is creating new business models and driving billions in spending across all key verticals – manufacturing, automotive, retail, and security – on a global scale. The revenue for the global embedded computing systems market is expected to increase from $55.51 billion in 2017 to $...

Insurtech risk assessment and analytics has grown because of the digitization of the insurance industry and the demand for online insurance products and secure data management. Companies in this segment leverage artificial intelligence (AI), machine learning (ML), and big data analytics to provide insurers with more accurate and actionable risk...

25 Jun 2021  |  Global  |  Megatrends

Trend Opportunity Profiles—Crowd Analytics

Rising Investment in Smart Cities will Drive Opportunities in Crowd Analytics

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Key Issues Addressed

Advancements in data science and modeling techniques have led to the development of crowd solutions that analyze purchase motivations, engagement rates, and personal preferences from physical movements. Crowd analytics is evolving rapidly beyond camera-based surveillance and video analytics toward intelligent analytics that provides customers with ...

22 Mar 2018  |  North America  |  Market Outlook

Global Automotive Industry Outlook, 2018

Vehicle Sales to Inch Closer to 100 Million Units as Data Monetization Takes Centerstage

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Key Issues Addressed

The automotive landscape is rapidly changing every year. The convergence of various technologies and industries with the automotive space is creating numerous opportunities in the market. Digitization and connectivity are generating large volumes of usage data, which will enable new revenue streams such as data monetization in the automotive indust...

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

28 Feb 2020  |  North America  |  Market Research

Global Automotive Data Management and Cloud Platform Strategies, 2019

Prioritising Critical Datasets from Non-critical Ones Will Determine Cloud-related Partnerships for OEMs by 2025

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The aim of this research study is to give an overview of automotive cloud platforms and the key cloud applications adopted in the automotive market. The study focuses on the different cloud platform strategies adopted by original equipment manufacturers (OEMs), key business models used, key cloud vendors, and their core features. Frost & Sullivan b...

Next-generation catalyst technologies are transforming chemical manufacturing by enabling sustainable, low-carbon, and energy-efficient process pathways across industries such as energy, chemicals, materials, and advanced manufacturing. Catalysts are central to accelerating the transition toward decarbonized industrial systems, supporting applicati...

The Sensor Technology Opportunity Engine provides profiles of innovations related to automotive-grade thermal imaging sensors enabling enhanced advanced driver-assistance systems (ADAS) and night vision; active stereo 3D depth cameras supporting robotic perception and spatial understanding; laser-based sensing technologies enabling intelligent molt...

In the near future, cars will function similar to how smartphones or even smart devices are utilized today, an evolutionary leap from their original role as merely transportation hardware. Automakers must recognize this impending shift and transform their vehicles into digital hubs as soon as feasible. Although this new form of operation will spell...