The use of artificial intelligence in education is expected to explode to a worldwide market value of $6 billion over the next six years, with about 20 percent of that growth coming from applications for U.S. K-12 classrooms and consumers, according to a report by Global Market Insights. In fact, the U.S. education market combined--consisting of K-12, higher education and corporate training--represents more than half of that anticipated growth, reaching about $3.4 billion by 2024. Of that, about $1.2 billion is expected to come from K-12 uses, the Selbyville, Del.-based market research firm indicated. That's a far cry from where the nascent industry started. In 2017, artificial intelligence--broadly defined as the attempt to simulate intelligent behavior in computers that is similar to the functions of human behavior--accounted for more than $400 million among all education segments worldwide, including higher education and corporate training purposes, according to the study.

The deployment of artificial intelligence in healthcare will be significantly bolstered by the influx of advanced and newer technologies. There is an increasing appeal to remotely render services with enhanced care to affected patients that are stationed across less-developed regions of the world. This has led to the higher incorporation of AI in telemedicine solutions. There are also various developments related to streamlining the healthcare processes to offer cost-savings to consumers. Furthermore, the incursion of big data healthcare services in the U.S. has helped cut down the instances of opioid abuse.

The artificial intelligence in manufacturing market is poised to hike from USD 1 billion in 2018 to over USD 16 billion by 2025, according to a 2019 Global Market Insights, Inc. report. The AI in manufacturing market is driven by the rapid adoption of industry 4.0 technologies. The growing need among the manufacturers to reduce the cost of operation and enhance operational efficiency is the primary factor driving the adoption of Industry 4.0. The new technology solutions are enhancing operational efficiency and reducing the time to market the products. It allows enterprises to analyze the customer demand, align their operations to meet the customer's requirement, and analyze the process in real-time.

The key factors driving the GPU market growth include the rising adoption of GPUs in the healthcare sector, rapidly evolving PC gaming landscape with the advent of interactive Virtual Reality (VR) games, and the growing popularity of GPUs for machine learning and neural network training applications. In applications involving machine learning and Big Data analytics, GPUs are highly efficient when compared with CPUs as they enable excellent multiple parallel processing. With 10-100x application throughput and thousands of computational cores compared to CPUs, GPUs are preferred by scientists and data analysts who require massive Big Data processing capabilities. From interactive model-based image registration and MRI connectivity mapping to medical imaging and image reconstruction, the healthcare industry is increasingly leveraging the extensive computational power of GPUs. Technological advancements are giving rise to a persistent expectation from healthcare providers to deliver advanced visualization capabilities.

PRNewswire: The process orchestration market is poised to hike from USD 3 billion in 2018 to USD 9 billion by 2025, according to a 2019 Global Market Insights, Inc. report. The market growth is attributed to the increasing integration of advanced technologies including AI and machine learning with process orchestration solutions. The AI-powered process orchestration solutions aid processes to become increasingly intelligent, easily adaptable to changes, and more precise. Furthermore, the rising demand for optimizing resource utilization and improving IT systems & services to meet customers' requirements also drives the market demand. The process orchestration market is anticipated to expand due to the growth in the deployment of suitable business solutions by enterprises to augment efficiency, interactions with other customers, and quality of internal operations contributing to the market growth. In August 2018, Cisco launched a Software Defined (SD) Branch Management and Orchestration working on network service lifecycle management, virtual network function packages, global resource management, and authorization & validation of SD-Branch infrastructure resource requirements.

The construction companies are utilizing the capabilities of the AI for designing, estimation, safety, management, and quality measurement. The design applications create complex designs efficiently and feed various design goals & criteria. The design applications employ machine learning algorithms to provide designers with anticipatory design models based on customers preferences and the past user history. The estimation applications are used for developing projections associated with cost, labor, and raw materials. The AI applications combine generative design models with costs associated with similar projects to provide preliminary schedule and cost estimates. The Middle-Eastern AI-based construction industry will exhibit an increased growth due to the increased government spending on infrastructure, commercial, residential, and energy projects.

The need to provide an enhanced customer experience is the primary factor augmenting the growth of the AI in BFSI market. As the competition among the market players is mounting day-by-day, companies have started to focus on providing a better experience to the customers to gain the customer loyalty. This encourages financial institutes to integrate advanced analytics tools and solutions to analyze customer data to fulfil their requirement, understand the customer experience, and to make smarter predictions about their behavior and requirements. Furthermore, companies are also looking forward to connecting with the customers on their choice of channels to provide a more seamless experience. Furthermore, as digitalization is spreading across the globe, customers are becoming more empowered.

Chatbots and virtual health assistants may be coming to a hospital near you. As providers look to better engage patients and improve efficiency, many are turning to artificial intelligence to help them succeed. AI-powered medical assistants can book appointments, remind patients to take their pills, monitor a patient's health status and perform other time-intensive tasks. They can also assist with inventory, billing and claims management. In Arizona, a doctor designed an influenza campaign around a chatbot that alerted patients when flu shots were in and invited them to get protection.

The study also looked at how well ERP, enterprise asset management (EAM) and field service management (FSM) software prepares industrial companies for digital transformation and to consume IoT data within their enterprise software. "The technology has a huge potential to enhance the visibility in industrial operations by gaining insights to every step of the production and supply chain process in real time," said Global Market Insights. "The virtual tracking of the firm assets, operations, processes, products and other resources enables businesses to have complete visibility resulting in streamlined process and optimizing the industrial demand and supply," according to the market research firm. "Early Industrial IoT successes demonstrate that manufacturers can achieve operational improvements that significantly impact the bottom line, but this survey shows that adapting to advancing technology is a significant challenge," said Mike Train, executive president of Emerson Automation Solutions, in a statement.

The study also looked at how well ERP, enterprise asset management (EAM) and field service management (FSM) software prepares industrial companies for digital transformation and to consume IoT data within their enterprise software. "The technology has a huge potential to enhance the visibility in industrial operations by gaining insights to every step of the production and supply chain process in real time," said Global Market Insights. "The virtual tracking of the firm assets, operations, processes, products and other resources enables businesses to have complete visibility resulting in streamlined process and optimizing the industrial demand and supply," according to the market research firm. "Early Industrial IoT successes demonstrate that manufacturers can achieve operational improvements that significantly impact the bottom line, but this survey shows that adapting to advancing technology is a significant challenge," said Mike Train, executive president of Emerson Automation Solutions, in a statement.