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Globally, businesses are reestablishing themselves in geopolitically unstable markets, with an emphasis on unlocking data's potential and leveraging artificial intelligence (AI) to support business outcomes. About 87% of enterprises believe AI and machine learning (ML) are important in achieving business goals to grow revenue, increase operational ...

18 Mar 2022  |  Global  |  Market Research

Global Digital Industrial Platforms Growth Opportunities

Industrial Mega Trends are Digitally Transforming the Manufacturing Landscape and Creating New Business Paradigms

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This Frost & Sullivan study was created, developed, and published to: • bring to the industrial ecosystem Frost & Sullivan’s understanding and comprehensive characterization of digital industrial platforms • define and describe market segmentation based on participants, offerings, verticals, and geographies • offer a high-level overview of t...

19 Oct 2021  |  Global  |  Market Research

Global Data Monetization Platform Growth Opportunities

AI and Digital Advertising Emerging as Critical Elements for Telcos to Create Differentiation

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This Frost & Sullivan research examines the importance of data monetization to drive growth opportunities across various industry verticals. The report identifies 4 channels—data bartering, data brokering, insights bartering, and business intelligence—to provide a clear understanding of the business processes and evolution of data across the value ...

03 Jun 2021  |  Global  |  Market Research

Global Artificial Intelligence/Machine Learning Platforms Growth Opportunities

Demand for Disruptive Technologies and Intense Competition Create Future Growth Potential

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Companies across all industry verticals recognize the importance of customer satisfaction (hence, retention) and demand generation (be it new sales, upsells or cross-sells) for business growth. Feeding data into AI/ML platforms, then making sense of such data and creating models that explain or predict customer satisfaction or demand is at the co...

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...

Clinical decision support systems (CDSS) provide actionable information for improving the decision making abilities of the health professionals. However, the traditional CDSS platforms have drawbacks such as alert fatigue, diagnostic errors, workflow disruptions that can have detrimental effect on patients health outcomes as well as healthcare prov...

The Frost & Sullivan Information, Communications & Technologies team of analysts has released the Internet of Things (IoT) platforms Frost Radar, a robust analytical tool that benchmarks companies’ innovation focus and growth performance in the IoT platforms market. The IoT is a complex ecosystem that integrates Information technology (IT) with op...

While advanced air mobility (AAM) as a concept has been widely discussed throughout the modern aviation age, it was only in the past decade that a definite boom was apparent in the development of actual aircraft. This was in line with the technological advancements seen (or proposed) with respect to power systems, battery efficiency, energy storage...

03 Oct 2022  |  Global  |  Technology Research

No Code: The Future of Software Development Process

No-code Platforms Will Disrupt the Way Enterprises Develop Their Applications.

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As enterprises emerge from the COVID-19 pandemic, many are still struggling to completely resume operations, such as streamlining workflows, improving employee productivity, and enhancing customer experience, in an operating environment that is vastly different from what it was 2 years ago. Enterprises’ teams are more geographically dispersed than ...