Top 10 predictions for the future of operations

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Analyst firm International Data Corporation (IDC) has revealed the top 10 predictions for the future of operations.
Mountain peak 10 predictions

# 1

By 2023, only 25% of G2000 companies will have passed the stage of using their digital engineering organization for enforcing IT policies in operations, resulting in a limited ability to extract more value. and information on their operational data.

# 2

By 2023, 40% of G2000 companies will first develop all new processes as remote operations, compared to the very limited number of remote operations processes in 2020.

# 3

Compared to 2% in 2021, by 2024, 35% of G2000 companies will use their digital engineering capabilities to sell operations, data and other services remotely to their peers, partners and customers.

# 4

Compared to less than 5% today, by 2027 40% of consumer value chains will share real-time capacity information based on increased consumption and demand transparency.

# 5

60% of G2000 companies will use KPIs and sustainability data as their primary operational control metrics by 2026, up from less than 20% in 2021.

# 6

By 2026, 40% of G2000 companies will have used AI, data governance and a transformed organization to develop a resilient and distributed operational decision-making framework that will accelerate change execution by 25%.

# 7

By 2025, 30% of brand owners / managers will bring operations back in-house or closer to demand to exercise better operational control, improve procurement transparency and reduce operational risk.

# 8

By 2024, the use of data and analysis will have led to a 3% reduction in global CO2 emissions by the industrial and commercial sectors (a net reduction of over 400 million metric tonnes of CO2).

# 9

From 2021 to 2027, the number of new physical and process assets modeled as digital twins will increase from 5% to 60%, which will help optimize operational performance.

# ten

Compared to less than 10% in 2021, by 2025, 60% of companies will use some form of remote expert to support operational staff with AI and knowledge management.

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