According to Gartner's latest forecast report, the global artificial intelligence market will reach US$1.2 trillion in 2018, an increase of 70% over 2017. AI-driven business value will reach $3.9 trillion in 2022, with decision support/enhancement (such as DNN deep neural networks) accounting for 39% of the total market size in 2018, 44% in 2022, and virtual assistants (46% in 2018) , 26% in 2022), smart products (18% in 2018, 14% in 2022), decision automation systems (2% in 2018, 16% in 2022).
The Gartner AI Business Value Forecast report summarizes market sizes across all AI verticals. The business value of artificial intelligence reported by Gartner mainly includes three aspects: user experience, new revenue and cost savings. The following is Gartner's definition of the three:
User experience: There will be an impact on indirect costs. And user experience is a prerequisite for AI technology popularization and value delivery.
Incremental revenue: Increase sales of existing products and services, as well as opportunities to expand new products and services.
Cost savings: Reduce the cost of production and delivery of existing products and services.
John-David Lovelock, research vice president at Gartner, noted:
With the rapid development of computing power, big data and deep neural networks, artificial intelligence will be the most disruptive technology in the next decade. Between 2017 and 2022, the market will focus on those that can better solve the specific problems of industry users ( details) of the artificial intelligence products and services required. Business executives will invest more in AI technologies that specialize in vertical segments.
Gartner's report also shows that 2018 is the year of the outbreak of artificial intelligence technology, the growth curve is very steep, and after 2020, the growth curve will flatten.
But business leaders should not overestimate artificial intelligence technology. Gartner pointed out in a report that Tesla and its CEO Elon Mask, who have been in frequent situations recently, have shown that machines still have a long way to go to replace humans.
In addition, artificial intelligence technology is not a panacea. In many fields, the economic and ROI performance of classical algorithms is much better than that of artificial intelligence technology.
From: IT Manager Network