40% Increase in orders for workplace robots in Q1 2022 over Q1 2021
Simulation
AI and robotics operate as horizontal technologies, increasing the performance and efficiency of a variety of other technologies and fields, including cybersecurity and cloud computing.
As the digital economy now produces about 2.5 quintillion bytes of data every day, the need for AI and robotics to process greater volumes, velocity and variety of big data also grows.
From automation of processes like baseline accounting processes to chatbots for customer interactions and operation of autonomous machinery and vehicles, AI and robotics have become the technological underpinnings to consumer and enterprise economies. Worldwide spending on the technologies was poised to reach $406.1 billion in 2022, according to IDC, driven in large part by the 83% of enterprise survey respondents who indicated that they will increase their AI/ML budgets, according to Algorithmia.
At the same time, robots increasingly make their presence known in the workforce: 228 industrial robots were installed for every 10,000 employees in the U.S. by the end of 2021, according to Pitchbook. The technology looks to make up for workforce shortages that have only been exacerbated in the last few years: The Manufacturing Institute estimates that 2.1 million manufacturing jobs will remain unfilled by the end of the decade due to an absence of qualified, skilled labor.
Unsurprisingly, Q1 2022 saw a 40% increase in orders for workplace robots over Q1 2021, according to the Association for Advancing Automation. Further, enterprises were set to spend $17.5 billion worldwide on warehouse automation technology in 2022.
Consequently, companies must be able to use AI and robotics to effectively and accurately simulate human productivity to navigate sustained and heightened consumer demand, continued supply chain disruptions and tight labor markets. Moving forward, enterprises will allocate budget to drive or incorporate deeper innovation into AI and robotics to ensure wider applications of these technologies to address these challenges.
Conclusion
Cybersecurity, cloud computing, artificial intelligence and robotics must — and likely will — work closely with one another to address the macroeconomic challenges of the digital economy. CTA monitors how these trends will evolve as a part of our work on the Nasdaq CTA Cybersecurity Index™ (NQCYBR™), ISE CTA Cloud Computing Index™ (CPQ™) and Nasdaq CTA Artificial Intelligence & Robotics Index™ (NQROBO™).
CES 2023 will offer attendees the opportunity to hear firsthand from industry leaders discussing how these technologies will continue their evolution as digital utilities, and they will see these innovations unfold right on the showfloor.
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