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The expansion of the automotive industry is one of the major factors responsible for the growing demand for emotion analytics solutions across the world. Many automobile manufacturing companies around the world are rapidly adopting various artificial intelligence (AI)-driven technologies in their vehicles. Moreover, they are focusing on extensive research and development (R&D) activities that can enable the integration of emotion recognition features in vehicles, wherein the installed software responds intelligently to the various emotions of the driver. This software enables gesture, eye movement, and touch recognition, while detecting the attentiveness and the alertness of the driver, thereby reducing the chances of road accidents. Apart from being widely used in the automotive industry, emotion analytics solutions are also increasingly being used by retailers across the world. With rising market competition and changing customer expectations, retailers are rapidly focusing on n

A number of factors, such as the rising need for effective fraud detection solutions, surging demand for personalized product commendations, and growing importance of projecting lead scoring, are expected to drive the automated machine learning (AutoML) market in the foreseeable period (2020–2030). According to P&S Intelligence, the market generated revenue of $346.2 million in 2020, which is expected to reach $14,830.8 million by 2030 , growing at a CAGR of 45.6% in the coming years. Moreover, the market is witnessing a trend of rising fondness toward cloud-based AutoML platforms. Automated Machine Learning Market Report One of the major factors boosting the demand for AutoML solutions is the rising need for effective fraud detection solutions. The prevention and detection of frauds are a massive challenge for all companies across the world. For example, according to the U.S. Government Accountability Office, payments that were completed in an inappropriate amount and not have bee

Quantum computing leverages the phenomenon of quantum mechanics to create new ways of computing, which can tackle huge volumes of data in the fields of artificial intelligence (AI) and big data search, finance, digital manufacturing, utilities, aerospace designing, polymer designing, drug design and discovery, intelligence, and military. Quantum computing is used in these domains for big data analysis or simulations, to solve complex problems, which cannot be simplified with the help of classical computing technologies. The speed and data managing capabilities of quantum computing technology have resulted in the commercialization of this technology worldwide. Thus, the increasing support from government bodies and other experts for the commercialization of this technology will drive the quantum computing market at a CAGR of 33.1% during the forecast period (2020–2030). The market revenue stood at $89.6 million in 2019 and it is projected to rise to $1,866.8 million by 2030. For instanc

The study reveals that the global data science platform market is likely to grow $1,95,677.5 million by 2023. Due to significant growth in technologies such as IoT and advancement in big data analytics, the global data science platform market in gaining traction. As per the findings of the research, based on business functions, logistics led the global data science platform market in 2016. Among deployment types, on-premise deployment witnessed the higher growth in demand of data science platform in 2016. Among the industry verticals, demand for data science platform from healthcare industry is expected to generate largest revenue for the global data science platform market during the forecast period, however, the demand is expected to grow at the fastest rate from transportation and logistics industry in the coming years. Geographically, North America has been the largest market for data science platform , whereas Asia-Pacific is expected to witness highest growth among all regions du

EdTech solutions are likely to evolve with the advancements in technologies such as IoT and AI. The integration of AR and VR in these solutions allows for a more-interactive learning experience for students. It aids students to cope with abstract concepts and produce better results. Asa result of these benefits, the worldwide education technology market size was $237.6 billion in 2021, which is expected to reach $998.4 billion by 2030 , at a CAGR of 17.3% during 2021–2030. Moreover, many countries have been emphasizing smart classes, especially during the pandemic. The hardware had around 60% revenue share in 2021 due to the rising importance of digital classrooms in the education industry. For example, the popularity of interactive whiteboards has swelled as they offer a better experience. They include dry-erase surfaces, digital pens, communication software, and other multi-touch choices. Users save and share notes across a variety of digital devices, including tablets, smartphones,

The data center infrastructure management (DCIM) market growth during the forecast period (2020–2030) will be driven by the soaring number of hyperscale data centers, escalating need to gain end-to-end visibility for forecasting capacity management requirements, booming demand for sustainability and a low carbon footprint, and increasing efforts being made by data centers to improve uptime and energy efficiency. According to P&S Intelligence, the market generated a revenue of $1.5 billion in 2020. One of the primary growth drivers of the market is the rising need for end-to-end visibility to forecast capacity management requirements of data centers. To fulfill this requirement, data centers need to plan a strategy that prevents malfunction in any condition. Managers of data centers need to ensure that their strategy can cater to the evolving needs of organizations, owing to which they are adopting DCIM solutions, as they offer visibility and insights by monitoring the security upt

Due to the increasing commercialization of the 5G network, the growing usage of the internet of things (IoT) devices, and the soaring over-the-top (OTT) traffic and mobile data traffic, the global edge data center market will grow substantially in the coming years. The market attained a value of $5.3 billion in 2019 and is predicted to reach a revenue of $53.1 billion by 2030. Furthermore, the market is predicted to progress at a CAGR of 25.4% from 2020 to 2030. The surging mobile data traffic is one of the biggest factors responsible for the expansion of the edge data center market across the globe. The growing usage of IoT devices and smartphones is augmenting the mobile data traffic, which is, in turn, fueling the development of edge data centers around the world. According to the report, the Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update 2017–2022, in 2019, the total mobile data traffic was around 26.8 exabytes per month. Furthermore, the report predicts

The banking, financial services, and insurance (BFSI) sector is shifting from traditional methods to digitalization and deploying artificial intelligence (AI) in mobile banking, cyber security, payments, customer experience, social banking, and branch automation processes for higher operational efficiency. Due to the widening application base of AI technologies in financial institutions, the AI in BFSI market is predicted to demonstrate a CAGR of 37.2% during the forecast period (2019–2024). At this, rate the market value will rise from $3,091.9 million in 2018 to $20,017.9 million in 2024. Currently, the AI in BFSI market is observing the trend of the usage of advanced AI-based data analytics to improve compliance and deal with fraudulent transactions. Moreover, AI algorithms find application in anti-laundering activities to reduce the time taken. Additionally, features such as AI bots, biometric fraud detection analytics, and digital payment advisers are leading to an expanding cust

Now-a-days, people are more inclined towards watching programs with real life events, as it expands their knowledge base and makes them more informed. The number of viewers with critical thinking, as well as their weekly frequency of watching documentaries is growing. The increasing variety in documentaries across various genres is attracting new types of viewer base with varying tastes. Pay TV, also referred as subscription television and premium television is a television service, provided by both analog and digital cable satellite television. The pay television (Pay TV) market has been expanding globally, which is adding subscription revenues to the broadcasting companies. The global pay TV market expanded from $143 billion in 2010, and reached $203 billion in 2014. The documentary television market is also benefitting from the growth of the pay TV market. There are several companies offering a separate channel for documentaries. The number of subscribers for such channels is incre