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 has ever 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 industry is churning and evolving quickly as merger and acquisition (M&A) activities abound, and it is homing in on areas of focus. Tractica's research has identified more than 1,000 companies that are driving innovation in the AI market, some of whom are well-known technology heavyweights but many of which are emerging solution providers that are focused on tailored AI applications to serve tactical business needs in specific industries. "The AI ecosystem is a tangled web of traditional technology providers that have adapted to shifting trends and new market entrants focused on using AI for solving problems in niche areas, in addition to well-established internet-era hyperscaler companies that are spearheading the push toward AI-first organizations," says research analyst Sherril Hanson. The key categories of companies in Tractica's mapping of the AI market ecosystem are as follows: Tractica's report, "Artificial Intelligence Market Ecosystem", provides an in-depth examination of the market ecosystem for AI.
Companies can no longer rely on just their internal competencies. They must complement their own competencies with those of other firms through alliances, partnerships, and digital relationships. Google, by opening its mobile Android platform to manufacturers and developers, has become the leading apps provider in the mobile space. These multifaceted interdependencies create complex connections, or ecosystems, that affect and are affected by multiple stakeholders such as suppliers, distributors, outsourcing firms, makers of related products or services, and technology providers.3 Competition today is between ecosystems.
Mobile internet applications are evolving rapidly. Cognitive computing technologies will inspire telecom service providers to profoundly change their business model in new creative ways. Deploying intelligent voice control apps on smartphones was just the beginning of this trend. As an example, mobile network operators are increasing their investment in big data analytics and machine learning technologies as they transform into digital application developers and cognitive service providers. With a long history of handling huge datasets, and with their path now led by the IT ecosystem, mobile operators will devote more than $50 billion to big data analytics and machine learning technologies through 2021, according to the latest global market study by ABI Research.
When Dave Smoley joined AstraZeneca as its Chief Information Officer, he already had cemented his reputation as one of the best CIOs in the world. He had been inducted into CIO magazine's prestigious CIO Hall of Fame based on an impressive track record at Flextronics. He brought that experience to a pharmaceutical company that was in turnaround mode. As he diagnosed the issues with the IT department, he was amazed at how expensive IT was. Not long after his arrival, he announced that IT would be twice as good at half the cost.
'Tis the season for looking ahead, and one of the most exciting technologies on the horizon is AVs (autonomous vehicles), including both personal AVs and transportation services, like autonomous taxis or "robotaxis." New research delves into the projected robotaxi market, providing a glimpse into the potential future of shared transportation services in a connected, autonomous world. The road ahead isn't free of obstacles, but the industry is already looking for ways to commercialize this transformative technology. Autonomous mobility offers the promise of safety and efficiency. When AI (artificial intelligence) rules the roadways, roads won't be subject to the consequences of human mistakes and human distraction.