Analyst firm International Data Corporation (IDC) has revealed the top 10 predictions for the Future of Operations.
Top 10 predictions
By 2023, only 25 percent of G2000 companies will have moved beyond using their digital engineering organization for the enforcement of IT policies in operations, resulting in limited ability to extract more value and insights from their operational data.
By 2023, 40 percent of G2000 companies develop all new processes as remote operations first, compared with the very limited number of remote operations processes in 2020.
As compared to 2 percent in 2021, by 2024, 35 percent of G2000 companies will use their Digital Engineering capabilities to sell remote operations, data, and other services to peers, partners, and customers.
Compared to less than 5 percent today, by 2027, 40 percent of consumer value chains will share real-time capacity information based on increased consumption and demand transparency.
60 percent of G2000 companies will use sustainability KPIs and data as primary operational control parameters by 2026, compared to less than 20 percent in 2021.
By 2026, 40 percent of G2000 companies will have used AI, data governance, and a transformed organization to develop a resilient and distributed operational decision-making framework that drives 25 percent faster change execution.
By 2025, 30 percent of brand owners/managers will bring operations back in house or closer to demand to exercise greater operational control, improve supply transparency, and reduce operational risk.
By 2024, the use of data and analytics will have enabled a 3 percent reduction in global CO2 emissions by the industrial and commercial sectors (a net reduction of over 400 million metric tons of CO2).
From 2021 to 2027, the number of new physical assets and processes that are modeled as digital twins will increase from 5 percent to 60 percent resulting in operational performance optimization.
Compared to less than 10 percent in 2021, by 2025, 60 percent of companies will use some form of remote expert to support operational staff with AI and knowledge management.