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8 Takeaways from the State of Observability for Industrials, Materials and Manufacturing Report

Nic Benders
New Relic

New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries.

Released in August, the report is based on insights from 285 technology professionals and was developed in association with the 2023 Observability Forecast. It reveals that manufacturers invest in observability to optimize uptime, improve productivity, and enable cross-team collaboration and strategic decision-making.

Here are 8 key takeaways from the report:

1. The Fifth Industrial Revolution is in effect

The manufacturing sector's shift into the Fifth Industrial Revolution, known as Industry 5.0, is defined by artificial intelligence (AI), sustainable product development, human and AI collaboration, and lean production practices. Usurping Industry 4.0's focus on the Industrial Internet of Things (IIoT), robotics, 3D printing (additive manufacturing), autonomous vehicles, digital twin simulation, touch interfaces, and virtual reality systems.

2. Observability is vital to reducing outages for manufacturers

Despite spending less on observability annually than most other industries, they had a higher proportion of observability capabilities currently deployed and more achieved full-stack observability than average. As a result, these industries experience outages less frequently, enjoy less annual downtime, and have lower outage costs than average. 30% reported outages at least once a week, compared to the average of 32%. Manufacturing organizations that had achieved full-stack observability saw a substantial improvement in their mean-time-to-respond (or MTTR), with 34% reporting an improvement of 25% or more since adopting observability. Additionally, just 12% of respondents estimated outages cost their organizations more than $1 million per hour compared to 21% across all industries.

3. Security is the biggest driver of observability adoption

The manufacturing industry must adhere to security, safety, and compliance requirements, standards, and guidelines set by governments and local and international organizations, such as the International Organization for Standardization (ISO), Society of Automotive Engineers (SAE), Defense Information Systems Agency (DISA), and Food and Drug Administration (FDA). As a result, the top technology strategy or trend driving the need for observability among industrials, materials, and manufacturing organizations was an increased focus on security, governance, risk, and compliance (50%). Regarding actual observability deployments, security monitoring was the most widely deployed capability and a higher proportion than average (78% in manufacturing compared to 75% for all industries).

4. AI is a core driver for observability

As a core pillar of Industry 5.0 in the manufacturing sector, organizations have already added AI solutions and capabilities to their tech stacks, a trend that will continue in the coming years.

The powerful combination of technologies like observability and AI creates more significant insights into telemetry data and is crucial to addressing the surmounting complexities of growing data sets. Observability is critical to the success of AI since it helps teams understand their telemetry data and how to improve MTTR and enables developers to easily apply fixes to code-level errors in their integrated development environment (IDE). It also increases automation for rapid alerts while improving incident detection and resolution. As a result, according to this year's report, 44% indicated that the adoption of new AI technologies in the manufacturing sector drove their need to onboard observability solutions. Just behind AI, 43% said IoT technologies contributed to the need for observability adoption.

5. They are moving toward tool consolidation

Industrials, materials, and manufacturing organizations continue to move toward tool consolidation to understand the different aspects of their business and avoid costly outages. This sector's low overall observability spending is likely due to the lack of tools. Industrials, materials, and manufacturing organizations were less likely than average to use multiple monitoring tools for the 17 observability capabilities included in this report. Three-fifths (61%) used four or more tools for observability compared to 63% overall. And 16% used eight or more tools compared to 19% overall.

The proportion of respondents using a single tool has increased since last year, growing from 3% to 4%. Additionally, the average number of tools has gone down by almost one tool, from an average of six tools in 2022 to five tools in 2023.

These figures indicate that industrial, materials, and manufacturing organizations are moving toward tool consolidation to understand the different aspects of their business and avoid costly outages.

6. Observability can prevent global supply chain disruptions

Critical outages can be particularly disruptive to carefully calibrated, intricate, and tightly scheduled global supply chains, putting business-to-business relationships and crucial revenue at risk. Yet, manufacturers are seeing improvements in their incident response timing, with 65% indicating their MTTR has improved since adopting an observability solution. Further, in the coming year, industrial, materials, and manufacturing organizations are expected to face an increase in supply chain disruptions, indicating that the time to tighten up and adjust their tech stacks to address vulnerabilities or make further deployments is now.

7. Observability improved job roles, performance, productivity, and team collaboration

Nearly half (43%) of IT decision-makers in the manufacturing sector said that observability made their jobs easier. Among IT practitioners, 47% said that it increases productivity since it allows them to find and resolve issues faster, and 31% said it enables less guesswork when managing complicated and distributed tech stacks. 45% indicated that observability improves collaboration across teams to make decisions related to the software stack — which was second highest across all other industries and 10% more overall.

8. Observability adoption in manufacturing will continue

Given their strong interest in deploying more capabilities in the next few years and a desire for a single platform for observability, this sector will likely continue to move from point solutions to robust observability platforms that provide end-to-end visibility. As technology transforms the industrial, materials, and manufacturing sectors to be ever more reliant on software and data, the need for observability will continue to grow.

Industrials, materials, and manufacturing organizations had ambitious observability deployment plans for the next one to three years. For example, by mid-2026, most are expected to have deployed security monitoring (96%), network monitoring (95%), and alerts (94%).

Nic Benders is Chief Technical Strategist at New Relic

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8 Takeaways from the State of Observability for Industrials, Materials and Manufacturing Report

Nic Benders
New Relic

New Relic's 2024 State of Observability for Industrials, Materials, and Manufacturing report outlines the adoption and business value of observability for the industrials, materials, and manufacturing industries.

Released in August, the report is based on insights from 285 technology professionals and was developed in association with the 2023 Observability Forecast. It reveals that manufacturers invest in observability to optimize uptime, improve productivity, and enable cross-team collaboration and strategic decision-making.

Here are 8 key takeaways from the report:

1. The Fifth Industrial Revolution is in effect

The manufacturing sector's shift into the Fifth Industrial Revolution, known as Industry 5.0, is defined by artificial intelligence (AI), sustainable product development, human and AI collaboration, and lean production practices. Usurping Industry 4.0's focus on the Industrial Internet of Things (IIoT), robotics, 3D printing (additive manufacturing), autonomous vehicles, digital twin simulation, touch interfaces, and virtual reality systems.

2. Observability is vital to reducing outages for manufacturers

Despite spending less on observability annually than most other industries, they had a higher proportion of observability capabilities currently deployed and more achieved full-stack observability than average. As a result, these industries experience outages less frequently, enjoy less annual downtime, and have lower outage costs than average. 30% reported outages at least once a week, compared to the average of 32%. Manufacturing organizations that had achieved full-stack observability saw a substantial improvement in their mean-time-to-respond (or MTTR), with 34% reporting an improvement of 25% or more since adopting observability. Additionally, just 12% of respondents estimated outages cost their organizations more than $1 million per hour compared to 21% across all industries.

3. Security is the biggest driver of observability adoption

The manufacturing industry must adhere to security, safety, and compliance requirements, standards, and guidelines set by governments and local and international organizations, such as the International Organization for Standardization (ISO), Society of Automotive Engineers (SAE), Defense Information Systems Agency (DISA), and Food and Drug Administration (FDA). As a result, the top technology strategy or trend driving the need for observability among industrials, materials, and manufacturing organizations was an increased focus on security, governance, risk, and compliance (50%). Regarding actual observability deployments, security monitoring was the most widely deployed capability and a higher proportion than average (78% in manufacturing compared to 75% for all industries).

4. AI is a core driver for observability

As a core pillar of Industry 5.0 in the manufacturing sector, organizations have already added AI solutions and capabilities to their tech stacks, a trend that will continue in the coming years.

The powerful combination of technologies like observability and AI creates more significant insights into telemetry data and is crucial to addressing the surmounting complexities of growing data sets. Observability is critical to the success of AI since it helps teams understand their telemetry data and how to improve MTTR and enables developers to easily apply fixes to code-level errors in their integrated development environment (IDE). It also increases automation for rapid alerts while improving incident detection and resolution. As a result, according to this year's report, 44% indicated that the adoption of new AI technologies in the manufacturing sector drove their need to onboard observability solutions. Just behind AI, 43% said IoT technologies contributed to the need for observability adoption.

5. They are moving toward tool consolidation

Industrials, materials, and manufacturing organizations continue to move toward tool consolidation to understand the different aspects of their business and avoid costly outages. This sector's low overall observability spending is likely due to the lack of tools. Industrials, materials, and manufacturing organizations were less likely than average to use multiple monitoring tools for the 17 observability capabilities included in this report. Three-fifths (61%) used four or more tools for observability compared to 63% overall. And 16% used eight or more tools compared to 19% overall.

The proportion of respondents using a single tool has increased since last year, growing from 3% to 4%. Additionally, the average number of tools has gone down by almost one tool, from an average of six tools in 2022 to five tools in 2023.

These figures indicate that industrial, materials, and manufacturing organizations are moving toward tool consolidation to understand the different aspects of their business and avoid costly outages.

6. Observability can prevent global supply chain disruptions

Critical outages can be particularly disruptive to carefully calibrated, intricate, and tightly scheduled global supply chains, putting business-to-business relationships and crucial revenue at risk. Yet, manufacturers are seeing improvements in their incident response timing, with 65% indicating their MTTR has improved since adopting an observability solution. Further, in the coming year, industrial, materials, and manufacturing organizations are expected to face an increase in supply chain disruptions, indicating that the time to tighten up and adjust their tech stacks to address vulnerabilities or make further deployments is now.

7. Observability improved job roles, performance, productivity, and team collaboration

Nearly half (43%) of IT decision-makers in the manufacturing sector said that observability made their jobs easier. Among IT practitioners, 47% said that it increases productivity since it allows them to find and resolve issues faster, and 31% said it enables less guesswork when managing complicated and distributed tech stacks. 45% indicated that observability improves collaboration across teams to make decisions related to the software stack — which was second highest across all other industries and 10% more overall.

8. Observability adoption in manufacturing will continue

Given their strong interest in deploying more capabilities in the next few years and a desire for a single platform for observability, this sector will likely continue to move from point solutions to robust observability platforms that provide end-to-end visibility. As technology transforms the industrial, materials, and manufacturing sectors to be ever more reliant on software and data, the need for observability will continue to grow.

Industrials, materials, and manufacturing organizations had ambitious observability deployment plans for the next one to three years. For example, by mid-2026, most are expected to have deployed security monitoring (96%), network monitoring (95%), and alerts (94%).

Nic Benders is Chief Technical Strategist at New Relic

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

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Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

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