The Safety Computer Vision Market Report

The future of workplace safety isn't just about compliance, it's about prevention. AI-powered safety solutions are transforming risk management.

29%
of firms plan to increase their investment in computer vision or launch pilot programs this year*
This Report Explores:
Why proactive safety teams are adopting AI-powered computer vision
What factors are accelerating investment in AI-driven safety solutions
The essential capabilities decision-makers should look for in a video analytics platform

Workplace safety is at a crossroads

Traditional methods like manual inspections, employee reporting, and compliance checklists are no longer enough to prevent injuries and fatalities. Safety teams are stretched thin, hazards go undetected, and risks escalate before action is taken.

At the same time, regulatory scrutiny is intensifying, insurance costs are climbing, and businesses face growing pressure to improve safety performance. Companies that fail to adapt will struggle to keep up and meet compliance requirements, but industry leaders are already embracing advanced safety technologies.

Why Are Proactive Safety Teams Adopting Computer Vision?

For decades, workplace safety has been reactive.

Teams investigate incidents after they occur, relying on manual inspections and employee reporting to catch hazards. This approach has inherent weaknesses because it depends on human vigilance, takes time, and often fails to identify risks before they escalate.

AI-powered computer vision is changing the landscape. This technology uses advanced machine learning algorithms to analyze video footage in real time, detecting unsafe behaviors, PPE violations, and hazardous conditions without human intervention.

A 2024 Verdantix study* confirms that computer vision has become a key enabler of proactive safety strategies, integrating seamlessly with existing CCTV infrastructure to enhance monitoring without the need for major system overhauls.

* Verdantix Smart Innovators Video Analytics For EHS Risk Management, June 2024

Continuous Monitoring
Human attention is limited. Even the most well-trained safety teams cannot monitor every area of a facility at all times. Fatigue, distractions, and competing priorities reduce effectiveness. AI-powered video analytics never stop working.
AI systems operate 24/7, scanning environments for risks that humans might miss.
Unlike manual checks, which happen at scheduled intervals, AI monitors safety in real time, ensuring that violations are detected the moment they occur.
Unlike manual checks, which happen at scheduled intervals, AI monitors safety in real time, ensuring that violations are detected the moment they occur.
Faster Hazard Detection
Speed is critical when it comes to workplace safety. A delayed response to a hazard can mean the difference between a near-miss and a serious injury. AI-powered computer vision is built to detect and respond to risks immediately.
AI can identify PPE violations, unauthorized zone entries, and hazardous behaviors as they happen.
Machine learning algorithms recognize subtle risk indicators, such as a forklift moving too fast or a worker bending improperly while lifting, before they result in injury.
Instant alerts allow safety teams to intervene in real time, ensuring corrective action is taken before an accident occurs.
Scalability
Many businesses struggle to scale their safety programs across multiple sites, especially those operating in large industrial settings, warehouses, or retail chains. AI-based safety systems overcome this challenge.
AI solutions can be deployed across multiple locations without requiring companies to install new cameras or hire additional staff.
AI solutions can be deployed across multiple locations without requiring companies to install new cameras or hire additional staff.
Companies can automate safety reporting for each facility, ensuring consistency and compliance without increasing manual workload.

Verdantix research* highlights how companies using AI-powered monitoring see dramatic reductions in safety incidents because risks are flagged before they escalate​.

The ability to monitor workplace safety in real time, detect risks instantly, and scale across multiple locations makes computer vision a powerful tool for proactive safety teams. But beyond the technology itself, there are larger market forces accelerating AI adoption, factors that are reshaping workplace safety on a global scale.

* Verdantix Smart Innovators Video Analytics For EHS Risk Management, June 2024

What Factors Are Speeding Up AI Investments in EHS?

AI adoption in workplace safety isn’t just about innovation, it’s being driven by urgent, tangible needs. Companies are facing stricter regulations, rising costs from workplace accidents, and increasing pressure to demonstrate proactive risk management.

AI-powered video analytics is emerging as a critical tool for businesses looking to meet compliance requirements, reduce financial risk, and improve operational efficiency. These factors are pushing more companies to invest in AI solutions now, rather than waiting until safety incidents force their hand.

1. Stricter Regulations and Compliance Pressures
Workplace safety regulations are tightening worldwide. Agencies like OSHA (U.S.), HSE (UK), and the EU Commission are rolling out new mandates, increasing penalties, and strengthening enforcement. Companies that fail to comply are facing hefty fines, reputational damage, and operational shutdowns.
OSHA’s higher penalties: In the U.S., OSHA continues to increase fines for safety violations. In 2024 alone, penalties rose by 7.7%, and repeated or willful violations now cost businesses up to $165,514 per offense​.
EU’s AI Act & worker safety regulations: European regulators are focusing on AI’s role in workplace safety, emphasizing real-time risk monitoring and compliance with ESG standards​.
HSE enforcement actions in the UK: HSE has expanded its use of AI-powered inspections to identify safety risks more effectively, increasing scrutiny on companies that rely solely on manual reporting​.
These regulatory shifts are forcing companies to adopt smarter, data-driven safety measures.
AI-powered video analytics is an effective solution because it:
Tracks safety violations automatically, reducing reliance on manual inspections.
Maintains real-time compliance logs, simplifying regulatory audits driven safety systems into their compliance strategies to meet these evolving regulatory demands without adding excessive administrative burdens.
2. The Rising Financial Costs of Workplace Accidents
Workplace injuries don’t just impact employees; they also come with significant financial consequences. These costs fall into two categories:
Direct costs
Workers’ compensation claims, medical expenses, and legal fees.
Indirect costs
Productivity losses, higher insurance premiums, reputational harm, and regulatory penalties.
Verdantix research* confirms that companies implementing AI-based safety systems experience substantial financial benefits, particularly in reducing workers’ compensation claims and minimizing unplanned downtime​.

* Verdantix Smart Innovators Video Analytics For EHS Risk Management, June 2024

How AI is Impacting EHS Reporting Outcomes
80%
After implementing AI-powered video analytics, Marks & Spencer, a global retail organisation saw an 80% drop in workplace incidents.
10%
M&S also saw a 10% increase in near-miss reporting within just ten weeks​.
40%
One industrial manufacturer cut compensation claims by 40% using AI to track compliance with safety protocols and identify potential hazards before injuries occurred​.
25%
A major retailer using AI-based hazard detection saw a reduction of 25% in lost workdays by addressing risks before they led to accidents​..
3. The Business Case for AI is Stronger Than Ever
Beyond compliance and cost reduction, AI-powered safety solutions are proving to be a high-ROI investment. Companies are no longer viewing AI adoption as an added expense, they see it as a strategic decision that strengthens operations, improves workforce safety, and enhances profitability.
*Global Corporate Survey 2024: Artificial Intelligence Budgets, Priorities And Tech Preferences, December 2024
The ROI of AI in Safety Programs
Lower Insurance Premiums:
Insurers are increasingly offering lower rates to companies that use AI-based safety monitoring, recognizing the reduction in workplace injury claims​.
Reduction in Accident-Related Downtime:
AI enables companies to identify and address hazards before they disrupt operations, cutting down on unplanned stoppages​.
Data-Driven Safety Insights:
AI-powered analytics provide real-time risk assessments, allowing companies to refine safety policies based on actual workplace data, rather than outdated assumptions​.
According to Verdantix’s Global Corporate AI Survey 2024, 53% of firms plan to increase their AI budgets by at least 10% in 2025*, with many citing cost savings and risk reduction as primary drivers​. For safety decision-makers, this trend presents a clear takeaway: AI-powered safety systems aren’t just about compliance; they actively improve business outcomes by reducing costs, risks, and operational inefficiencies.

The firms making AI investments today are future-proofing their operations. As regulatory demands grow and the cost of workplace incidents rises, businesses are looking for reliable, scalable AI solutions that provide real value. But not all video analytics platforms are created equal. To maximize the benefits of AI-powered safety, organizations must choose a solution with the right capabilities, one that integrates seamlessly, delivers real-time insights, and enhances compliance efforts.

*Global Corporate Survey 2024: Artificial Intelligence Budgets, Priorities And Tech Preferences, December 2024

What Factors Should Decision-Makers Prioritize When Evaluating?

AI-powered safety solutions offer game-changing advantages for workplace risk management, but not all platforms are created equal. Decision-makers must evaluate which capabilities matter most to their specific operations.

A well-designed video analytics platform should go beyond basic monitoring. It must detect hazards in real time, integrate smoothly with existing systems, and scale across multiple locations. Equally important, the platform should provide clear, actionable insights that help safety teams reduce incidents and improve compliance.

The following are critical capabilities that safety leaders should prioritize when selecting a provider.

1. Real-Time Hazard Detection & Alerts
A strong AI safety platform doesn’t just record incidents, it prevents them. The ability to detect hazards in real time is one of the most important features of any video analytics solution.
Reduction in Accident-Related Downtime:
AI enables companies to identify and address hazards before they disrupt operations, cutting down on unplanned stoppages​.
Instant Violation Detection:
AI should immediately identify safety risks such as:
AI systems operate 24/7, scanning environments for risks that humans might miss.
Unlike manual checks, which happen at scheduled intervals, AI monitors safety in real time, ensuring that violations are detected the moment they occur.
Unlike manual checks, which happen at scheduled intervals, AI monitors safety in real time, ensuring that violations are detected the moment they occur.
2. Seamless Integration with Existing Systems
A major barrier to adopting new safety technology is the cost and complexity of deployment. The best AI-powered solutions should integrate effortlessly with a company’s existing infrastructure, ensuring fast adoption without major disruptions.
Integration with Other Safety Systems:
Leading platforms should be compatible with:
Incident management software, automatically logging events.
Access control systems, triggering restrictions if unauthorized personnel enter hazardous zones.
Workforce management tools, linking AI data to shift scheduling for improved risk forecasting.
Works with Existing CCTV Networks:
AI-powered video analytics should be able to connect with current surveillance systems instead of requiring companies to purchase new cameras or overhaul infrastructure.
Minimal IT Burden:
The ideal solution should be cloud-based or easily installed on-premise, reducing heavy IT workload and maintenance costs.
3. Customizable Safety Rules & Policy Enforcement
Safety risks vary by industry, facility, and even individual job roles. A one-size-fits-all approach doesn’t work when companies have unique operational hazards.
Adaptive AI Learning:
The best platforms allow companies to customize risk parameters, ensuring the system aligns with:
Industry-specific regulations (e.g., OSHA, HSE, EU safety directives).
Company-specific policies (e.g., handling of hazardous materials in chemical plants).
Facility-specific layouts, such as restricted access zones in construction sites.
Automated Policy Enforcement:
AI should do more than detect violations; it should proactively enforce safety protocols by:
Sending real-time notifications when rules are broken.
Logging compliance data for internal audits.
Generating reports that highlight high-risk areas and repeat violations.
4. Advanced Reporting & Data Analytics
Collecting safety data is meaningless without tools to analyze and act on it. AI-powered safety platforms must provide automated reporting and deep analytics, helping companies turn raw data into actionable insights.
Automated Compliance Reports:
AI should eliminate manual tracking by generating:
Daily, weekly, or monthly safety summaries.
Violation frequency heatmaps, pinpointing high-risk areas.
Predictive analytics, forecasting where accidents are most likely to occur.
Automated Compliance Reports:
AI should eliminate manual tracking by generating:
Daily, weekly, or monthly safety summaries.
Violation frequency heatmaps, pinpointing high-risk areas.
Predictive analytics, forecasting where accidents are most likely to occur.
5. Multi-Site Scalability
For companies operating across multiple locations, ensuring consistent safety enforcement can be a challenge. AI-powered safety solutions should be scalable, allowing businesses to expand monitoring across all facilities without losing efficiency.
Centralized Dashboard for Multiple Sites:
AI should aggregate safety data from multiple locations, allowing corporate safety leaders to compare performance across different facilities.
Companies should be able to set global safety policies while allowing localized adjustments based on facility-specific risks.
Enterprise-Level Security & Data Management:
AI solutions should support role-based access, ensuring that regional safety managers can only access data for their assigned sites.
Cloud-based AI platforms should provide secure data encryption to meet industry standards.

Computer Vision Provider Assessment

In the recent 2024 Verdantix Smart Innovators Video Analytics For EHS Risk Management Report, their analysts identify a number of key functionality categories and sub-categories that enterprise organizations are utilising to evaluate safety computer vision vendors. Some examples featured below. A selection of these is highlighted below.

4. Advanced Reporting & Data Analytics
Drawing on the example key functionality categories and subcategories outlined in the 2024 Verdantix Smart Innovators: Video Analytics for EHS Risk Management Report, Verdantix analysts have evaluated safety computer vision vendors against these critical assessment criteria.

How Protex AI Is Positioned in The Assessment

Protex AI emerges as a top-performing video analytics provider for EHS risk management, surpassing the industry average across key safety and compliance functions. The latest Verdantix Smart Innovators report recognizes Protex AI as a market leader in ergonomics and PPE detection, where it achieves the highest scores among competitors. Beyond these strengths, Protex AI excels in object and movement monitoring, behavioral safety, and real-time incident detection, empowering organizations to take a proactive stance in risk mitigation and workplace safety enhancement.

Why Enterprise Organizations Are Partnering with Protex AI?

Fortune 500 enterprises are turning to Protex AI to drive measurable safety improvements, achieving an average 64% reduction in risk within just three months of deployment. With a privacy-first architecture that leverages advanced anonymization and cutting-edge edge computing, Protex AI ensures data security without compromise, enabling organizations to tackle safety challenges proactively. Here’s why leading industrial enterprises are choosing Protex AI to pioneer a future of proactive safety…

Privacy & Security
At Protex AI, we believe that workplace safety should never come at the expense of privacy and security. For our clients, data protection isn’t an afterthought—it’s a non-negotiable priority. That’s why we’ve built Protex with enterprise-grade security at its core, ensuring safety insights are delivered without compromising sensitive information.

Our on-prem, non-identifiable video feed processing keeps data secure while preserving worker privacy. Instead of tracking individuals, Protex enables safety management at scale, allowing organizations to analyze risk trends by site, area, or shift. This big-picture approach helps businesses identify and mitigate risks proactively—seeing the forest, not just the trees—while fostering a culture of safety, not surveillance.
Insights
When it comes to extracting meaningful insights from your safety data, Protex AI goes beyond visibility—we deliver understanding. Our customizable dashboards transform complex data into clear, actionable intelligence, helping your team spot trends, identify risks, and take proactive steps before incidents escalate.But it doesn’t stop there. With our Gen-AI tool, Copilot, safety insights are unlocked in an instant. Copilot enables you to ask the right questions at the right time, whether it's detecting emerging risks or refining safety protocols. By diving deep into specific concerns, you gain the clarity and confidence to make informed, strategic decisions that drive real workplace safety improvements.

With Protex AI, you’re not just seeing what’s happening—you’re understanding why it’s happening and how to act before it becomes a problem.
Configurability
Workplace safety isn’t one-size-fits-all—every facility has its own unique challenges, risks, and dynamics. That’s why flexibility and configurability are at the core of Protex AI’s approach to safety intelligence.

Our rule-building feature empowers organizations to capture the events that matter most—whether it’s identifying ergonomic risks, monitoring PPE compliance, or addressing site-specific hazards. When it comes to turning data into action, our customizable dashboards allow teams to visualize key insights, detect trends, and intervene before risks escalate.

But technology alone isn’t enough. The real impact comes from how it’s used. That’s why we ensure your team is fully equipped to maximize Protex AI’s capabilities, driving a proactive and data-driven approach to workplace safety.
Integrations
In complex industrial operations, the last thing organizations need is another system adding friction to daily workflows. Protex AI is built with seamless integration in mind, ensuring that safety insights enhance—not complicate—your existing EHS infrastructure. Our open API enables effortless connectivity with business intelligence platforms, EHS management systems, and other critical tools, allowing data to flow smoothly across your ecosystem.

Rather than operating in silos, Protex consolidates key safety insights into a single, centralized platform, providing a unified view of leading indicators across your entire operation. This streamlined approach empowers teams to evaluate data holistically, extract meaningful insights, and take proactive safety measures with confidence. With Protex AI, integrations aren’t just an add-on—they’re a core part of delivering a smarter, more connected safety strategy.

Computer Vision Provider Assessment

Fortune 500 enterprises are turning to Protex AI to drive measurable safety improvements, achieving an average 64% reduction in risk within just three months of deployment. With a privacy-first architecture that leverages advanced anonymization and cutting-edge edge computing, Protex AI ensures data security without compromise, enabling organizations to tackle safety challenges proactively. Here’s why leading industrial enterprises are choosing Protex AI to pioneer a future of proactive safety…

Marks And Spencer Reduced Incidents By 80% In Their First 10 Weeks Of Deployment

Companies worldwide trust Protex Al to enhance workplace safety and empower their workforce. Learn how our Al-driven solutions proactively protect employees and improve operational efficiency.

The Impact in Numbers

80
%

Reduction in incidents

10
%

Increase of near-miss reporting

+-5
%

Keeping incidents at baseline #'s

Who are Marks & Spencer?

M&S is a leading British retailer that provides millions of customers worldwide with high-quality, low-cost food, clothing, and homeware.

Established in 1884. The company now operates over 1,400 stores worldwide.Employs approximately 65,000 people. Their UK network currently consists of 19 distribution centre's and warehouses nationally, including large centre's in Swindon, Bradford and Castle Donington.

Identify areas of risk with scaling workforce

The Challenge

Following the emergence of the Covid-19 pandemic, M&S's largest Ecommerce Distribution Centre at Castle Donington, witnessed a heavy increase in customer orders to two million single orders per week. This increase in demand meant more workers were required on-site.

As a result, it was a requirement from senior management to ensure that the safety of their colleagues’ was of the utmost importance and that safety events and incidents were kept to a minimum.

James Carter, Network Health and Safety Manager at M&S mentions "Our colleagues’ are our most important asset and keeping them safe is the most important thing we do".


It was then a priority for the HSE team to investigate best-fit tools and technology in order to ensure they were equipped to easily identify areas of risk in their business and promote proactive decision-making that results in a safer workplace for their staff.

The Solution

In M&S's journey to identify best-fit safety solutions, Protex AI was chosen to help their HSE team to identify areas of risk across their warehouse facilities and keep accidents to a minimum.


Alice Conners, HSE Specialist at Castle Donington says 'We can't be everywhere at once, and we can't be on site 24 hours a day. So having Protex AI is like having an extra set of eyes, and it helps us in keeping our colleagues safe.'



The autonomous event capture has allowed their team to see exactly what has accrued over a certain time period - even if the team are not on-site - tag any events that have occurred, and make data-informed decisions. Being able to educate staff how to carry out duties in a safer manner rather than creating a negative outcome was also a priority. The ability to play back different incidents in Protex AI has been really useful with this process.



Also, to ensure that implementation of the solution was as efficient as possible, seamless integration with their existing CCTV infrastructure was a key factor for choosing Protex AI. James mentions that this process was "less time consuming, less overwhelming, and relatively straightforward."

Alice Conners
HSE Specialist

“We can’t be everywhere at once, and we can’t be on site 24 hours a day. So having Protex AI is like having an extra set of eyes, and it helps us in keeping our colleagues safe.”

The Outcome

80% reduction in incidents

The HSE team noticed an immediate impact from week one to week two after deploying Protex AI. In this early period, they witnessed a 40% decrease in events that could be classified as unsafe on one of their primary camera feeds. The core reason for this reduction in events was due to the HSE team being able to instantly identify patterns in unsafe behaviors on the warehouse floor, and then quickly implement focused staff training to address the issue. There was also a noticeable improvement regarding the warehouse team's attitude towards safety. Post staff training, Alice mentions that the communication shifted from “We’ve got cameras watching us” to "We've got a Health and Safety Manager supporting us, making sure we're staying safe”.

The reduction of unsafe events continued to decrease over a 3 month period. Again, the core reason for this was enabling their HSE team to further identify patterns in unsafe behaviors, quickly implement training to address the issues and improve colleague’s attitude towards safety. This momentum led to an impressive 80% reduction in incidents across the warehouse floor. Even more impressive, post this 3 month deployment period, their HSE team has been able to maintain this lower number of incidents to within +/- 5% of baseline figures, reinforcing the influence of Protex in contributing to a proactive safety culture. Additionally Protex AI has helped increase near miss reporting by over 10% across site, due to incidents that weren’t seen at the time now being visible.

Protex helping to keep events low +/-5% fluctuation from baseline

In addition to the above, M&S increased the number of agency workers on site, and because they were not as familiar with the safety rules of the site, the HSE team noted an increase in events captured by Protex AI incidents, prompting them to review their induction process and ensure their training program for agency workers is implemented correctly. The ability to understand why there may be an increase in incidents and to take data-informed action has been a significant benefit for them. "Having that extra capability to notice unsafe behaviors that may be occurring on a regular basis, and then figuring out why they are happening and what we can do to make those trends safe has been really powerful." says James.

Overall, the Protex AI solution has been positively received by on-site workers and the HSE team at M&S, demonstrating to site workers that senior management prioritize a safe work environment and that they want to make proactive improvements to their existing safety culture. Alice shared 'It has shown our colleagues that we are willing to try new things and we want to get positive results from it, implementing protex AI has been a real eye opener, I think for the whole Castle Donington site and for gaining visibility of what our risks are, and turning those risks into proactive knowledge’. The internal health and safety ethos at Castle Donington is "Safety through trust, and protex is allowing us to stand by that," according to James.

Award-winning excellence
We take immense pride in the recognition and accolades earned by our software. Our commitment to innovation and delivering exceptional results has garnered prestigious awards from industry leaders.
Alice Conners
HSE Specialist

“We can’t be everywhere at once, and we can’t be on site 24 hours a day. So having Protex AI is like having an extra set of eyes, and it helps us in keeping our colleagues safe.”

The Time to Act Is Now

Workplace safety is facing more scrutiny than ever. Regulatory agencies are tightening compliance requirements, operational risks are increasing, and the financial consequences of workplace incidents are too high to ignore. The companies that act now will position themselves as leaders in proactive safety management, those that wait risk falling behind.

AI-powered safety tools have been proven to reduce incidents, improve compliance, and lower costs. Businesses that integrate computer vision technology into their safety programs will gain a competitive edge, not only in compliance but also in operational efficiency and workforce protection.

The 2025 Safety Computer Vision Market Report makes one thing clear: AI-driven safety solutions are now a necessity, not a luxury. Companies that continue relying on outdated, reactive safety models are exposing themselves to greater risks, higher costs, and increased regulatory pressure.

The shift to real-time, AI-powered risk management is already happening. The question is: Will your organization lead the way or struggle to catch up? Now is the time to explore how computer vision can transform workplace safety. Start the conversation today, because the cost of waiting is far greater than the cost of action.

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