TE Connectivity

2024 Industrial Technology Index

AI and sustainability are reshaping the technology industry and defining new targets for future innovation.

Innovation drives success in the global technology industry.

The importance of these trends — and how they are impacting the way we all do business — inspired TE Connectivity to look closely at the intersection of AI, sustainability, and innovation in our 2024 Industrial Technology Index. The Industrial Technology Index is an annual survey of engineers and executives in a broad range of industries that are shaping (and shaped by) technology trends. Our goal is to highlight the state of innovation today, as well as the opportunities and challenges that these two groups see on the horizon.

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Engineers reviewing a performance report in a data control room.

What do organizations want to achieve by 2030?

We found that organizations are optimistic about their ability to achieve their AI and sustainability goals. Engineers and executives both rated the importance of “product innovation” and “internal sustainability goals” higher than “financial goals.” However, they are also confronting internal and external challenges that could threaten success, including technical issues, questions about resources and training requirements, and the need to clarify roles and responsibilities.

Top priorities

Engineers

Executives

Product innovation

54%

55%

Sustainability

46%

AI adoption

38%

39%

Financial

38%

39%

DEI goals

24%

20%

About the survey

The TE Connectivity Industrial Technology Index is a third-party, independent research study that examines innovation culture within the industries shaping our world.

The online survey, taken by 1,000 engineers and executives in the U.S., China, Germany, India, and Japan, was designed to provide insights on how companies are managing critical innovation issues.

The survey was conducted between September 7 and October 4, 2023. Subjects were working in one of the following industries: wireless technology | data, cloud computing, and artificial intelligence | automotive and commercial transportation | industrial machinery | energy solutions | sensor applications | commercial and home appliances | aerospace and defense | medical devices / technology.

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