## What's new in FinOps in 2023?

Check out some of the top trends from the State of FinOps 2023 report.

Zesty

Source: State of FinOps by FinOps Foundation

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A growing number of businesses are forecasting on a monthly rather than annual basis. This takes time away from other aspects of their job.

| Year | % of Respondents |
|------|-----------------|
| 2022 | 50              |
| 2023 | 49              |
|      | 45              |
|      | 40              |
|      | 35              |
|      | 30              |
|      | 25              |
|      | 20              |
|      | 15              |
|      | 10              |
|      | 6               |
|      | 11              |
|      | 27              |
|      | 33              |
|      | 23              |
|      | 19              |
|      | 9               |
|      | 0               |
|      | Weekly          |
|      | Monthly         |
|      | Quarterly       |
|      | Bi-annual       |
|      | Annually        |

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## Organizations are still struggling with key cultural & technical aspects of FinOps.

| Challenges                                             | % of Respondents |
|-------------------------------------------------------|------------------|
| Empowering engineers to take action                    | 29.5%            |
| Getting to unit economics                              | 27.9%            |
| Organizational adoption of FinOps                      | 27.9%            |
| Reducing waste or unused resources                      | 27.9%            |
| Implementing FinOps governance & policy at scale      | 27%              |
| Accurate forecasting of spend                           | 24.3%            |
| Full allocation of cloud spending                       | 18.5%            |
| Enabling automation                                    | 18.3%            |
| Container cost reporting                                | 13.3%            |
| Leadership buy-in of FinOps                            | 12.4%            |
| 0%                                                    |                  |
| 5%                                                    |                  |
| 10%                                                   |                  |
| 15%                                                   |                  |
| 20%                                                   |                  |
| 25%                                                   |                  |
| 30%                                                   |                  |
| 35%                                                   |                  |

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As practitioners prioritize FinOps capabilities, cost allocation remains the most prioritized, indicating its fundamental importance to the discipline.

| Capabilities                                          | % of Respondents |
|------------------------------------------------------|------------------|
| Cost allocation (tags, labels & hierarchy)           | 9.46%            |
| Establish FinOps culture                              | 9.27%            |
| Resource utilization & rightsizing                     | 9.09%            |
| Forecasting                                           | 8.54%            |
| Budget management                                     | 8.47%            |
| Data analysis & showback                              | 8.2%             |
| Manage commitment-based discount                       | 8.01%            |
| Manage anomalies                                      | 7.53%            |
| Chargeback & finance integration                       | 7.09%            |
| Manage shared cost                                    | 7.08%            |
| Measure unit costs                                    | 6.7%             |
| Workload management & automation                       | 6.38%            |
| Data normalization                                    | 5.1%             |
| Intersection with other frameworks                    | 4.07%            |
| 0 1 2 3 4 5 6 7 8 9 10                              |                  |

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Respondents at various stages of FinOps adoption still see significant discrepancies between their cloud budgets and actual spend.

| Variance                | % of Respondents |
|------------------------|------------------|
| 1-5%                   | 40%              |
| 5-10%                  | 35%              |
| 10-20%                 | 35.9%            |
| 20+%                   | 30%              |
| Don't record accuracy   | 25%              |
|                        | 20%              |
|                        | 15%              |
|                        | 15.6%            |
|                        | 20.6%            |
|                        | 20.4%            |
|                        | 10%              |
|                        | 7.6%             |
| 0%                     |                  |

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Respondents excel in cost allocation, but need improvement in rightsizing & automation.

| Areas for Improvement                        | % of Respondents |
|----------------------------------------------|------------------|
| Cost allocation                              |                  |
| Managing shared cost                          |                  |
| Chargeback & finance integration             |                  |
| Forecasting                                   |                  |
| Managing anomalies                            |                  |
| Budget management                            |                  |
| Cloud policy & governance                     |                  |
| Data analysis & showback                     |                  |
| Establishing FinOps culture                   |                  |
| Resource utilization & efficiency             |                  |
| Data ingestion & normalization                |                  |
| Measuring unit costs                         |                  |
| Managing commitment based discounts           |                  |
| FinOps & intersecting frameworks             |                  |
| FinOps education & enablement                |                  |
| Automation & workload management             |                  |

% of Respondents: 0% 10% 20% 30% 40% 50% 60% 70% 80%

Crawl
Walk
Run

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## Automation in FinOps is still in its infancy.

About 50% of organizations plan to implement this technology.

| Technology                           | No plans to automate | Planning to automate | Automated |
|--------------------------------------|----------------------|---------------------|---------|
| Notifications/alerts of anomalies     | 5.7                  | 55                  | 39.3    |
| Reports of cloud usage                | 8.3                  | 52.7                | 39      |
| Tagging policy compliance             | 14.2                 | 54.5                | 31.3    |
| Resource utilization management       | 29.6                 | 53.6                | 16.8    |
| Notifications/alerts for going over budget | 11.1    | 50.2                | 38.7    |
| Instance rightsizing                  | 37.3                 | 50                  | 12.8    |
| Creating or adjusting budgets          | 40                   | 79.9                | 10.2    |
| Applying data retention policies      | 32.3                 | 48.3                | 19.5    |
| Container rightsizing                  | 43                   | 46.9                | 10.1    |
| Savings Plans/RI/CUD Management       | 41.9                 | 40.9                | 17.1    |

% Respondents: 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

---

Optimization of services still remains a challenge across the board. Even for mature organizations, cloud resource optimization is still a struggle.

| Service                                      | No optimization | Little optimization | Moderate optimization | Significant optimization | Full optimization |
|----------------------------------------------|-----------------|---------------------|-----------------------|--------------------|------------------|
| Compute instances                             | 9.8             | 5.4                 | 16.6                  | 18.4               | 25.7             |
| Data & storage                               | 13.5            | 7.3                 | 18.7                  | 13.7               | 25.4             |
| Database                                     | 15.7            | 5.5                 | 21.3                  | 11.5               | 28.1             |
| Backup & retention                           | 17.8            | 11.8                | 16.5                  | 21.5               | 18.4             |
| Containers                                   | 18.8            | 2.9                 | 19.3                  | 16.6               | 23.5             |
| Data transfer & networking                   | 27.1            | 5.4                 | 19.5                  | 8.3                | 25.3             |
| Hybrid                                       | 29.6            | 3.2                 | 16.2                  | 8.6                | 22.9             |
| Serverless                                   | 30.7            | 2.8                 | 15.2                  | 16.2               | 20.1             |
| Analytics services                            | 32.4            | 2.8                 | 15.8                  | 9.7                | 21.9             |

% Respondents: 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

We do little to no optimization  Enforced policy  Engineering process

Automation  Manual/Reactive  Combined approach

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## Curious about other FinOps trends in 2023?

Zesty

Check out the full report at State of FinOps by FinOps Foundation
