Omdia analysts have assessed that the chatbot market will remain "served by a robust, diverse ecosystem of vendors". The report highlights that it's contrary to the assessment of vendor assessments and traditional technology market trends. "There are several reasons for a robust chatbot solutions market. One, there is persistent market demand for solutions which address a broad spectrum of complexity, from pro developer Do It Yourself (DIY) tools and no code SaaS to bespoke end-to-end solutions. Two, it's likely there will be new market disruptors because of evolving technology, particularly the potential emergence of affordable NLU and training from open-source Large Language Models (LLM). Three, the total addressable market is very large and very complex, led by broad market drivers for CX and workflow automation. The market opportunity is nowhere near saturated or commoditised, leaving the door open for a variety of vendors to succeed and prosper."

Healthcare and Life Sciences continues to experience an explosion in the use of Artificial Intelligence to deliver precision medicine, enhance quality of care, improve operational efficiencies, and drive breakthroughs in biomedical research to treat disease. Healthcare Providers, in particular, are looking to the areas of Smart Hospitals and Medical Imaging in this regard. There is an array of interconnected medical devices, sensors and applications that create the Internet of Medical Things (IoMT) which produce significant amounts of data needed to feed these AI models. In this webinar, OMDIA, Hewlett Packard Enterprise and NVIDIA experts will focus on how AI will act as a catalyst to enable the new wave of capabilities and the investments being made now to take advantage of machine learning and state-of-the-art computing. If you have already registered, click here to access.

Apple sold 2.4 million smart speakers in the U.S. market during first quarter of 2021, according to the market research firm Omdia, beating Google's sales by 100,000 units during the same period. The firm estimates the new Apple HomePod mini accounted for 91 percent of Apple's U.S. smart speaker sales during that time. Apple's share of smart speaker shipments in the U.S. market reached 17.8 percent during the first quarter, a 9 percent increase year over year. But Omdia estimates there were 75 million smart speakers based on Google Assistant on the market at the end of 2020, compared to just 10 million based on Apple's Siri. And Amazon dominates both of those competitors, with a current installed base of 141 million smart speakers using its Alexa voice assistant.

As video streaming, Alexa-type digital assistants and self-driving cars continue to permeate daily life, edge computing architecture has become foundational to enable these tasks. These data-intensive processes are fueled by a proliferation of Internet of Things (IoT) devices.. According to Statista, there will be 30.9 billion devices by 2025. These devices are becoming increasingly intelligent as well, with more analytics and decision-making capabilities at the device level. "There are more and more devices that need intelligent capabilities, especially to process AI at the edge," said Aditya Kaul, research director at Omdia.

LONDON (April 29, 2020) -- Global AI software revenue is projected to increase by 12-fold in the next seven years, skyrocketing from $10.1 billion in 2018 to $126.0 billion in 2025 according to Omdia. "The global AI market is entering a new phase in 2020 where the narrative is shifting from asking whether AI is viable to declaring that AI is now a requirement for most enterprises that are trying to compete on a global level," said Keith Kirkpatrick, principal analyst with Omdia. "AI is likely to trigger major transformations in industries where there is a clear case for incorporating AI, rather than in pie-in-the-sky use cases that may not generate a return on investment (ROI) for many years." Top use cases Demand for artificial intelligence in the consumer, enterprise, government and defense sectors is growing. Currently, the number of business-to-business (B2B) software opportunities related to AI total 333 and cover 28 industry sectors, with 203 unique use cases.

Machine vision, natural language processing, data analytics and other deep learning applications will propel global AI software revenues over the next five years via a growing list of industry segments spanning automotive and health care to financial services and retail. Market tracker Omdia forecasts AI software revenues will surge through 2025 to $126 billion, a 12-fold increase over a $10.1 billion industry in 2018. "The narrative is shifting from asking whether AI is viable to declaring that AI is now a requirement for most enterprises that are trying to compete on a global level," said Keith Kirkpatrick, principal analyst with Omdia. "AI is likely to trigger major transformations in industries where there is a clear case for incorporating AI, rather than in pie-in-the-sky use cases that may not generate a return on investment for many years," Kirkpatrick added. Omdia estimates that more than half of AI revenues will be generated by machine vision and language applications, with deep learning deployments driving the AI market.

The retail industry is suffering from the decline of physical stores, and is turning to artificial intelligence in order to breathe new life into the shopping experience, suggests latest research from Omdia. The analyst firm predicts that spending on AI software by retail organizations will reach $9.8 billion per year by 2025, up from just $1.3 billion in 2019. Omdia has identified a total of 24 use cases for AI software in retail, and analyzed the 11 that are expected to account for 91 percent of spending in the next five years; it predicts that this particular niche of the AI market will be led by supply chain and inventory management software, with a 15 percent market share. This will be followed by AI-based applications in image recognition and visual search (13 percent), virtual digital assistants fine-tuned for the needs of eCommerce (12 percent), video surveillance analytics (12 percent), and tools that enable personalized customer journeys (10 percent). "AI technologies have begun to move from research lab projects to the engines that drive genuine business solutions. These technologies are disrupting a variety of industries, from healthcare and telecommunications to financial services and retail, primarily by bringing scale and efficiency to bear in solving business problems," said Mark Beccue, principal analyst at Omdia.

Data-driven experiences are rich, immersive and immediate. Think pizza delivery by drone, video cameras that can record traffic accidents at an intersection, freight trucks that can identify a potential system failure. These kinds of fast-acting activities need lots of data -- quickly. So they can't sustain latency as data travels to and from the cloud. That to-and-fro takes too long; instead, many of these data-intensive processes must remain localized and processed at the edge and on or near a hardware device.

Compared to a few years ago, the artificial intelligence (AI) market is starting to solidify around real-world applications with the pace of change being faster than it ever has been before, as startups and technology providers rush to create platforms and targeted niche solutions for solving specific enterprise problems. According to a new report from Tractica, the rising tide of AI adoption across multiple industries will drive significant growth during the next decade, and the market intelligence firm forecasts that annual worldwide AI software revenue will increase from $3.2 billion in 2016 in 2016 to $89.8 billion by 2025. This forecast is a significant upgrade of Tractica's previous projection for AI market revenue, which was published in 2Q17, due to an improved outlook for a number of specific use cases across multiple industries. "Artificial intelligence is already key to how consumer internet companies operate today, allowing them to roll out hyper-personalized services by following an'AI first' strategy," says research director Aditya Kaul. "The rest of the market in the enterprise and government sectors is still catching up on adopting AI and has yet to fully understand its value, including the breadth and depth of use cases, the technology choices surrounding AI, and the implementation strategies."

A study by recently launched research firm Omdia has revealed the huge shift for communications service providers (CSPs) and the wider tech ecosystem that will be created by the wider adoption of 5G products and services. The analyst says that the report, 5G and beyond: Connecting the dots at MWC20, aims to "connect the dots" between the strategies, technologies, companies and market trends that are impacting industries as they transition to 5G, providing an overview of the interrelated opportunities and challenges. As well as predicting that 5G will take the consumer market by storm, with 5G-enabled smartphone shipments expected to grow eight-fold by 2021, Omdia believes the growth prospects for 5G in enterprises are "enormous", with global 5G enterprise mobile subscriptions set to rise from 500,000 in 2019 to 175 million by 2024. It predicts that the global 5G smartphone market will surge to 231 million units shipped by the end of 2020, up from 29 million in 2019, and will double again in 2021. Omdia says this growth will be driven by declining device costs, which will be in the $700-$800 range in the next two years, making them more affordable.