Gartner-2025超过100项数据和分析预测（英）-2021-31页_320kb

2025 Data and Analytics Predictions Summary

Core Content Overview

This document outlines over 100 data and analytics predictions for the period through 2025, emphasizing the strategic importance of data-driven initiatives in the context of digital transformation, especially post-COVID-19. It covers key areas such as data and analytics leadership, artificial intelligence (AI), data management, cloud computing, cybersecurity, identity and access management (IAM), enterprise architecture, IT sourcing and procurement, and digital business functions.

Main Predictions and Key Insights

Data and Analytics Leadership

• Digital Transformation and Governance: Data and analytics leaders must modernize governance practices to deliver on investment returns. By 2024, 30% of organizations will invest in governance platforms, and 80% will fail to scale digital business without a modern governance approach.
• Centralized Data Centers of Excellence: By 2024, 75% of organizations will establish centralized D&A centers of excellence to support federated initiatives and prevent enterprise failure.
• Title Inflation and CDO Role: By 2023, 50% of CDO appointments will be due to title inflation, making the CDO an internal service rather than a strategic peer.

Artificial Intelligence

• AI Operationalization: By 2023, organizations using graph techniques will deliver five times more AI models into production. By 2024, 70% of enterprises will use cloud-based AI infrastructure.
• Synthetic Data Usage: By 2024, synthetic data and transfer learning will reduce the need for real data by half in AI development.
• AI Orchestration Platforms: By 2025, 50% of enterprises will use AI orchestration platforms, with open-source technologies becoming more prevalent.
• Ethical and Societal Impacts: By 2025, 1% of AI vendors will dominate pretrained models, making responsible AI a societal concern. AI will also be used in government simulations and workplace conversations.

Cloud Computing

• Cloud First Principle: By 2025, 85% of organizations will adopt a cloud-first principle.
• Containerization Growth: By 2025, 85% of organizations will run containers in production, and 15% of enterprise applications will be containerized.
• Cloud-Native and Edge Infrastructure: By 2025, 40% of asset-intensive organizations will consolidate security roles under one CISO. Cloud-native applications will require more sophisticated monitoring and management, with AIOps reducing unplanned downtime by 20% by 2023.

Data Security and Privacy

• Privacy-Enhancing Computation: By 2025, 50% of large organizations will use privacy-enhancing computation for data processing in untrusted environments.
• Cybersecurity Mesh: By 2025, cybersecurity mesh will support over half of all IAM requests.
• Remote Work and Productivity: By 2023, organizations not excessively monitoring remote workers will see up to 15% higher productivity.

Identity and Access Management (IAM)

• Identity Proofing Tools: By 2024, 30% of large enterprises will implement identity-proofing tools to improve identity lifecycle processes.
• Decentralized Identity Standards: By 2024, a global, portable, decentralized identity standard will emerge.

Enterprise Architecture

• Composable Organizations: By 2024, 85% of fusion teams will use business architecture deliverables to guide strategy and design the composable enterprise.
• AI Architect Role: 25% of organizations will introduce an AI architect role in their EA practice.
• Split EA Function: 25% of organizations will split their EA function into "business technology strategy" and "product architecture."

IT Sourcing and Procurement

• Digital Adoption and AI Quality: By 2025, 75% of application services deals will be won by vendors committed to AI quality and improvement.
• Blockchain in Sourcing: By 2025, 30% of enterprises will use blockchain to source technology services, reducing vendor onboarding time by half.

Project and Program Management

• Dynamic PMOs: By 2025, dynamic PMOs will use predictive analytics enabled by citizen data scientists to improve insights and results.

Robotic Process Automation (RPA) and Hyperautomation

• Hyperautomation Dominance: By 2024, one or more megavendors will render 60% of RPA market offerings redundant.
• Governance Challenges: 70% of large global enterprises will have over 70 concurrent hyperautomation initiatives, requiring governance to avoid instability.

Digital Business Function Predictions

Customer Relationship Management (CRM) and Customer Experience

• Messaging Over Mobile Apps: By 2025, 80% of customer service organizations will shift to messaging platforms for better customer experience.
• AI in Sales: By 2025, 30% of B2B companies will use AI predictive analytics for all sales KPIs and insights.

Digital Commerce

• Digital Platforms in B2B: By 2024, 15% of B2B organizations will use digital commerce platforms for all sales activities.
• Sales Growth: Organizations using multiple go-to-market approaches for digital commerce will outperform non-commerce organizations by 30 percentage points in sales growth.

Digital Workplace

• Citizen Development Programs: By 2025, organizations with formal citizen development programs will be more agile.
• AI-Driven Metrics: Application leaders must preempt "gaming" of AI metrics to optimize engagement and productivity.

Key Underlying Principles

• Reward those who derive value from data.
• Build internal competitions for new value sources.
• Address objections and resistance to data-driven change.
• Bring in external speakers to enhance data literacy.
• Avoid becoming "data obsessed."

Conclusion

The data and analytics landscape is rapidly evolving, driven by AI, cloud computing, and digital transformation. Organizations must adapt by modernizing governance, investing in data literacy, and leveraging emerging technologies like synthetic data and hyperautomation. Strategic leadership, cultural readiness, and a focus on ethical AI and privacy will be essential for long-term success. The role of data and analytics leaders is becoming increasingly complex, requiring a blend of technical expertise, strategic vision, and cross-functional collaboration.