TECH BUYER Oct 2022 - IDC FutureScape - Doc # US49748122

IDC FutureScape: Worldwide Artificial Intelligence and Automation 2023 Predictions

By:

Ritu Jyoti
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,
Shane Rau
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,
Peter Rutten
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,
Matt Arcaro
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,
Roger Beharry Lall
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,
Laurie Buczek
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,
Jessie Danqing Cai
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,
Jennifer Cooke
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,
Pietro Delai
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,
Maureen Fleming
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, Tim Grieser,
Hayley Sutherland
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,
Nobuko Iisaka
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,
Raghunandhan Kuppuswamy
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,
Kathy Lange
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,
Shari Lava
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,
Dr. Chris Marshall
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,
Melih Murat
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,
David Schubmehl
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, Warren Shiau,
Mary Wardley
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,
Neil Ward-Dutton
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,
Jennifer Hamel
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Table of Contents

IDC FutureScape Figure

Figure: IDC FutureScape: Worldwide Artificial Intelligence and Automation 2023 Top 10 Predictions

Executive Summary

IDC FutureScape Predictions

Summary of External Drivers

Predictions: Impact on Technology Buyers

Prediction 1: Persistent Talent Gaps Will Drive 35% of IT Organizations to Invest in AI Skills by 2023, Both to Run Automated IT Operations and to Support Business End Users Adopting AI and Automation Solutions

Associated Drivers

IT Impact

Guidance

Prediction 2: By 2026, AI-Driven Features Will Be Embedded Across Business Technology Categories, and 60% of Organizations Will Actively Use Such Features to Drive Better Outcomes Without Relying on Technical AI Talent

Associated Drivers

IT Impact

Guidance

Prediction 3: As AI Models Become Strategic, Model Risk and Governance Will Consume More Business Attention Until 2025, Then 60% of G2000 CFOs Will Incorporate AI Risks as Part of Their Enterprise Risk Programs

Associated Drivers

IT Impact

Guidance

Prediction 4: By 2024, Most Organizations Will Leverage Codeless Development Tools for at Least 30% of Their AI and Automation Initiatives, Helping to Scale Digital Transformation and Democratize AI

Associated Drivers

IT Impact

Guidance

Prediction 5: By 2026, Massive (>1 Trillion Parameter) Foundation Models (for NLP, AI-Generated Images, Etc.) Will Become Standard Industry Utilities Provided Only by the Largest Vendors

Associated Drivers

IT Impact

Guidance

Prediction 6: By 2026, 40% of AI Models Will Incorporate Multiple Modalities of Data to Improve Learning Effectiveness and Address the Current Everyday Knowledge Shortcomings in Single-Modality AI Solutions

Associated Drivers

IT Impact

Guidance

Prediction 7: Driven by the Componentization of Applications and by Advancements in AI/ML, 25% of G2000 Companies Will Have AI-Assembled Applications by 2027, Disrupting Traditional Developer Roles

Associated Drivers

IT Impact

Guidance

Prediction 8: To Speed Automation Development and Maximize Benefit, by 2025, 50% of Organizations Will Adopt Intelligent Business Execution Strategies, Turbocharging All Aspects of the Automation Life Cycle with AI

Associated Drivers

IT Impact

Guidance

Prediction 9: By 2026, 75% of Large Enterprises Will Rely on AI-Infused Processes to Enhance Asset Efficiency, Streamline Supply Chains, and Improve Product Quality Across Diverse and Distributed Environments

Associated Drivers

IT Impact

Guidance

Prediction 10: In Response to Sustainability and Economic Uncertainty Concerns, by 2024, 40% of the G2000 Will Adopt Tooling to Quantify, Predict, and Optimize the Cost Benefit of Their AI Life Cycle

Associated Drivers

IT Impact

Guidance

Advice for Technology Buyers

External Drivers: Detail

Storms of Disruption — Accelerating, Interconnected Uncertainty

Cybersecurity and Risk — Scaling and Evolving Threat Environment

Economic Instability — Flurry, Snowball, or Avalanche?

Global Supply Shock — Refocusing on Multisource and Resilience

Digital Business — Stepping Stone to the Future Enterprise

Meaningful Intelligence — Differentiated Decision Power

Learn More

Related Research

Content


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