【英文】麦肯锡报告：2024年科技趋势展望（100页）

英文研究报告 2024年09月18日 11:58 管理员

The trajectory of enterprise technology adoption is often described as an S-curve that traces the following pattern: technical innovation and exploration, experimenting with the technology, initial pilots in the business, scaling the impact throughout the business, and eventual fully scaled adoption (Exhibit 2). This pattern is evident in this year’s survey analysis of enterprise adoption conducted across our 15 technologies. Adoption levels vary across diferent industries and company sizes, as does the perceived progress toward adoption. We see that the technologies in the S-curve’s early stages of innovation and experimenting are either on the leading edge of progress, such as quantum technologies and robotics, or are more relevant to a specifc set of industries, such as bioengineering and space. Factors that could afect the adoption of these technologies include high costs, specialized applications, and balancing the breadth of technology investments against focusing on a select few that may ofer substantial frst-mover advantages. As technologies gain traction and move beyond experimenting, adoption rates start accelerating, and companies invest more in piloting and scaling. We see this shift in a number of trends, such as next-generation software development and electrifcation. Gen AI’s rapid advancement leads among trends analyzed, with about a quarter of respondents self-reporting that they are scaling its use. More mature technologies, like cloud and edge computing and advanced connectivity, continued their rapid pace of adoption, serving as enablers for the adoption of other emerging technologies as well (Exhibit 3).