الذكاء الاصطناعي

UiPath: الريادة في الأتمتة من خلال تبني عصر الوكلاء الذكائيين

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في السنوات القليلة الماضية، أدى الانفجار في قدرة الذكاء الاصطناعي إلى توضيح أن العديد من المهام ستُؤتمت بالفعل، وقد بدأت بالفعل في الأتمتة. قد يبدو ذلك لبعض الأشخاص ظاهرة حديثة وتحولية.

لكن في الواقع، تستمر أتمتة كل من المهام الفيزيائية والمعرفية منذ عقود، واستخدام الذكاء الاصطناعي بشكل عام هو مجرد الخطوة الأخيرة في هذه العملية. على سبيل المثال، معظم المصانع اليوم مؤتمتة بشكل كبير، حيث تتعامل الروبوتات الصناعية مع الأجزاء، والتصنيع، واللحام، والتجميع، وغيرها.

وبالمثل، نميل إلى التقليل من حجم الأتمتة التي تحدث بالفعل في الوظائف المكتبية. نظام الفواتير التلقائي والمتجدد ذاتيًا، مرشحات السيرة الذاتية للموارد البشرية، معالجة الرواتب، أتمتة إعادة توجيه تذاكر خدمة العملاء، التحويلات المالية، الكثير من هذه المهام التي كان يتعامل معها البشر سابقًا تُدار الآن تقريبًا حصريًا بواسطة البرمجيات.

وبالتالي، من المحتمل أن يكون المسار الأكثر أهمية وربحية للعديد من تطبيقات الذكاء الاصطناعي هو أتمتة وظائف المؤسسات، خاصةً مع قيام معظم الشركات برقمنة أنظمة الإنتاج وإدارة العملاء خلال العقد الماضي.

بُنيت العديد من الشركات على إنشاء وتحسين هذه البرمجيات على نطاق واسع. وتوجد هذه الشركات في موقع مثالي لنشر أحدث الوكلاء الذكائيين داخل شبكة عملائها الذين يثقون بهم لتلبية احتياجاتهم الأوتوماتيكية.

إحدى هذه الشركات هي UiPath، رائدة راسخة في أتمتة المؤسسات تأسست عام 2005.

(PATH )

نظرة عامة على UiPath

تاريخ UiPath

UiPath was founded in 2005 in Bucharest, Romania, under the name DeskOver. The engineer-led company spent many years bootstrapping and looking for the right market fit, initially working on outsourcing and building software developer kits and various software tools to automate tasks for developers.

They ultimately found the right direction with automation of tasks for enterprise business customers within the “Robotic Process Automation” category (RPA).

المصدر: UiPath

They pivoted to this segment in 2013 and renamed the company to UiPath in 2015.

RPA combines APIs and user interface (UI) interactions to integrate and perform repetitive tasks between enterprise and productivity applications. This form of automation uses rule-based software to perform business process activities at a high volume, freeing up human resources to prioritize more complex tasks.

Source: IBM

So, despite the name, “robots” in RPA are software bots, not physical robots, although of course this difference might slowly fade in the near future as both AI and robotics progress.

While today UiPath is not limited to RPA, this is in itself a large market, and poised for explosive growth: it was worth $4.68B in 2025 and is expected to grow by 29% CAGR, to $35.84B in 2033.

المصدر: GrandView Research

This shift toward RPA was initially done in a trial run by a large Indian company, and would become the template for future customer acquisitions, which grew explosively.

“So we had this visual “low code” that was really novelty at that time. And in all RPA space, it was only us and Blue Prism that have this “low code” approach. So we had like a nice flowchart to design and automation, and nobody else had that at this point. And basically, he was actually looking to get some leverage on Blue Prism and they were really considered kind of inflexible.”

Daniel Dines – UiPath Co-founder

By أبريل 2016, the company had released its Front Office and Back Office Server suites and already secured 250 enterprise customers, with more than 10,000 users.

In 2019, the company acquired several other companies in process documentation and process mining, and reached 5,000 customers worldwide.

In أبريل 2021, the company did its IPO at the NYSE, raising $1.3B and becoming one of the largest US software IPOs in history at the time.

In 2022, UiPath acquired Re:infer, a natural language processing developer, followed by the release of many AI tools in 2024 and later.

By 2025, the company had partnerships and collaborations with OpenAI, Microsoft, Google, Nvidia, Snowflake, and many others.

المصدر: UiPath

UiPath By The Number

Since its turn toward the RPA market, UiPath has been selling its services as subscriptions, generating recurring revenues.

Since 2019, UiPath has more than doubled its customer base, with around 10,750 enterprises using the company’s software and AI solution in 2026. Of these customers, 2,565 had an ARR (Annual Recurring Revenue) of more than $100,000.

المصدر: UiPath

 

Over half of the customer base came from banking/finance, manufacturing, and government. Around half of customers are in the USA, by far the largest market for UiPath, followed by India and the UK.

The company generated a total of $1.8B in ARR in 2025, growing 11% year-to-year. Cloud services’ ARR is growing even quicker, at a 20% yearly compouding growth.

المصدر: UiPath

Maybe the most impressive metric of the company’s business is a 107% dollar-based net retention, a metric reflecting that the company’s customers are not only staying with UiPath, but are growing their business with the company at a greater rate than the natural and avoidable attrition rate experienced by any subscription business.

Another impressive metric is the 83.2% gross margin and operating margins of 31%, reflecting on how capital efficient the business model can be, with up to $404,565 in revenue per employee in 2026.

The company is truly global, with 2/3rd of its 4,000+ employees working in remote or multi-regional roles, and many activity hubs spread throughout the USA, Europe, and India.

استراتيجية UiPath

التحرك بسرعة

The company grew through a very aggressive strategy of global expansion as soon as it found its successful niche. So aggressive that its management says it has been taking inspiration from no other than Genghis Khan.

“I remember this board meeting where Daniel put out a plan to go from $35 million to $200 at the time. A very, very aggressive growth plan. I was joking with my team, saying our strategy is like, uh, Genghis Khan strategy.  You should go faster than them. You know how they conquered China? Their army was faster than Chinese army, so they were defeating all the Chinese cities, and they couldn’t catch them. So that was kind of my strategy: let’s go, let’s spread, let’s see where it works and let’s double down on it.”

Daniel Dines – UiPath Co-founder

This strategy is still in place, with for example UiPath moving fast in entering the healthcare market, helping with hospital and clinics’ functions like medical records summarization, claim denial prevention and resolution, and prior authorization.

UiPath ما بعد الأتمتة

Building on its success with RPA, UiPath offers not just more efficient business processes but also the automation of repetitive white-collar tasks. It also provides a way for management to systematize its data and sales process.

This creates an automatically auditable dataset that reduces compliance costs, which contributed greatly to UiPath’s commercial success in highly regulated sectors like banking, manufacturing, and government.

With the recent acquisition of WorkFusion in 2026, a pioneer in AI agents for financial crime compliance, UiPath is further cementing this key contribution in compliance.

“UiPath gives us the scale to grow faster than we ever could alone, without losing the heart of who we are, our people, our products, and our mission. Together, we’re creating something bigger than any one company: we are modernizing financial crime compliance.”

Adam Famularo – CEO of WorkFusion

This generation of data for management use and for audit makes UiPath a very useful tool, often recommended by consulting and auditing firms working as go-to-market partners for the software company.

As such, UiPath is growing not just from its own sales efforts, but also from its stellar reputation with important partners already trusted by large corporations to improve their processes and business operations. This includes major consulting, accounting, and HR firms like Cognizant PWC, Deloitte, or Infosys.

المصدر: UiPath

UiPath is also adapting its RPA and AI agents tools to pre-existing marketplaces, automatically integrating with existing large platforms, like for example Salesforce’s AgentExchange, where UiPath solutions “ unify automation, AI agents, and human interactions into streamlined, end-to-end business processes”.

It is also launching many industry-specific solutions, especially in the business vertical where it already has a solid reputation. For example, UiPath launched in مارس 2026 several AI agents specialized in retail and manufacturing, with:

  • UiPath Solution for merchandising, التي تُحسّن تشكيلات المنتجات من خلال تحليل بيانات المبيعات، واتجاهات الأداء، وإشارات الطلب، وتوافر المخزون.
  • UiPath Solution for commercial pricing, التي تتنبأ بتحولات السوق، وتحدد استراتيجيات التسعير المثلى، وتنفذها بشكل مستقل.
  • UiPath Solution for inventory management, التي تراقب مستويات المخزون عبر المستودعات، ومراكز التوزيع، والمواد الخام، ومواقع التجزئة، وتتنبأ بنقص المخزون المحتمل وتُؤتمت عمليات إعادة التزويد.

UiPath & AI

الخطوات المبكرة لـ UiPath في الذكاء الاصطناعي

Historically, UiPath was mostly focused on automating repetitive tasks that could be handled by relatively simple software, with smooth onboarding and implementation through the company’s flexibility a key advantage.

Today, it is integrating AI in the same way, identifying areas where the technology is powerful and reliable enough to be trusted to take the reins, integrating together classical RPA and APIs with modern AI agents.

المصدر: UiPath

As mentioned before, UiPath was already embracing the ancestors of modern LLMs and other AI systems through acquisitions in 2022, as it is acutely aware that any delays in modernizing the company’s offering would let other AI solutions outpace the historical RPA services in both quality and cost reduction.

One of the early product offerings by the company had been the UiPath Autopilot for Developers feature, which uses GenAI for workflow creation. It currently sees a 70% acceptance rate for its text-to-workflow suggestions.

وكلاء الذكاء الاصطناعي في UiPath & الثقة

An important factor in helping AI adoption and enterprise trusting UiPath over other potential AI providers is the  UiPath AI Trust Layer. It now provides centralized management for LLM usage, ensuring zero third-party training on customer data, an important factor when enterprise customers would take business and legal risks if any data were leaked by the AI models.

This effort in securing AI adoption is already paying off, with UiPath notably winning in early 2026 the AIUC-1 Certification, the world’s first independent certification standard for AI agents, launched by the Artificial Intelligence Underwriting Company (AIUC).

“The AIUC-1 achievement builds on UiPath’s recent ISO/IEC 42001:2023 certification. UiPath is the first enterprise automation company to achieve AIUC-1 certification. To achieve this, they subjected their suite of agentic AI systems to 2000+ technical evaluations, and a comprehensive audit of their AI policies and technical guardrails.” Rajiv Dattani – Co-founder at Artificial Intelligence Underwriting Company

The company is now moving toward a multi-agent workflow, using several AI agents that can plan and adapt independently, while collaborating with each other. They are integrated into the UiPath Platform.

This trend is supporting the so-called “governance-as-code” as the new must-have for keeping agents aligned, secure, and compliant during software architecture verification.

مستقبل UiPath

Overall, UiPath is a pretty straightforward story of the deployment of software automation for enterprises, mimicking the evolution of the industry as a whole.

It began as an outsourcing tool, grew into a powerful and highly profitable productivity tool with SaaS (Software-as-a-Service) subscriptions, and is now at the forefront of AI deployment and adoption.

It has been an essential service provider in improving efficiency and compliance in many highly-regulated industries like finance, healthcare, and government, notoriously cautious in adopting new technologies, due to legal and regulatory risks.

This reputation as a trusted and tested provider of IT automation is playing a big role in turning UiPath into a provider and implementer of AI agents in these industries. A key competitive advantage is that UiPath has experience in managing sensitive data safely, and can be trusted to help with compliance, while inexperienced internal efforts or Silicon Valley’s “move fast and break things” ethos could lead to serious problems.

Future investors should monitor that the company’s growth path stays in the current >10% CAGR trend. And that growth of its AI agent solution is the driving force behind the company’s expansion, ensuring it stays at the top of the industry in terms of technological capabilities.

أحدث أخبار وتطورات سهم UiPath (PATH)

جوناثان هو باحث سابق في الكيمياء الحيوية عمل في التحليل الجيني والاختبارات السريرية. وهو الآن محلل أسهم وكاتب مالي يركز على الابتكار ودورات السوق والسياسة الجغرافية في منشورته "The Eurasian Century"