Search results for: 'monetization forecast'

The global Starting, Lighting and Ignition (SLI) Lead Acid Battery market is mature but continues to exhibit consistent and continuous demand. The sector is characterized by intense competition and limited product differentiation. Lead acid batteries are the earliest form of energy storage solutions that generate electricity from a chemical composi...

09 Mar 2016  |  North America  |  Market Research

Global Photovoltaic Materials Market, Forecast to 2022

Decreasing Grid Parity of Solar Energy to Spur Revenue and Unit Shipment Growth

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Market consolidation in Europe and North America is due to increasing imports from Asia-Pacific, a result of the over-supply of materials manufacturing. The largest market, APAC constitutes over 70% of global PV materials consumption, yet growing adoption of premium products such as BIPV in Europe and NA is expected to boost revenues. This study ex...

25 years after the fall of the Soviet Union, Russia remains burdened with economic, social, and political crises. The recent ruble-oil crisis further weakened the economy. By examining the key Mega Trends in Russia, along with other factors that will impact and shape the country’s economy, this presentation discusses how the economic, political, an...

This market insight is based on the premise that lightweighting through the use of plastics in automotive vehicles will help meet global standards, improve fuel use, and, ultimately, cut costs. Discussions cover the impact of Mega Trends; industry challenges; market drivers, restraints, and trends; the value chain; and industry competition. Explora...

09 May 2016  |  North America  |  Market Research

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

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Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solution...