AI Agents Market Size & Share 2026 - 2034

AI Agents Market Size

The global AI agents market size was estimated at USD 7.7 billion in 2025. The market is expected to grow from USD 10.2 billion in 2026 to USD 105.6 billion in 2034, at a CAGR of 39.5%.

• The market is transitioning from experimental automation projects to enterprise-wide deployment, making AI agent development, orchestration, and workforce enablement strategic priorities for organizations. As enterprises increasingly adopt large language models (LLMs), natural language processing (NLP), and autonomous decision-making systems, demand for skilled professionals and scalable AI agent platforms continues to accelerate. This trend is contributing significantly to the global AI agent market size growth and strengthening the outlook for the AI agents market size forecast through 2030.
• Public-private initiatives are further supporting adoption by expanding AI agent capabilities across industries. Organizations and cloud providers are investing heavily in hands-on training, certifications, and business-focused AI programs that help enterprises deploy intelligent agents more effectively. These efforts are enabling faster implementation of enterprise AI agents across sectors such as BFSI, healthcare, retail, and manufacturing.
• The global AI agents market size, valued at approximately USD 2.7 billion in 2021, is projected to reach nearly USD 32 billion by 2030, reflecting strong market expansion and sustained market growth. Increasing investments in AI agent infrastructure, AI agent platforms, and enterprise automation solutions are driving this momentum. Businesses are prioritizing platform-specific expertise in solutions such as conversational AI, workflow automation, and autonomous task execution to ensure secure integration, governance, and operational consistency.
• Another key growth driver is the rise of citizen development and role-based AI adoption. User-friendly AI agent creation tools are enabling non-technical employees to build and manage automated workflows, reducing dependence on specialized development teams and accelerating digital transformation initiatives.
• North America continues to lead the AI agents market, supported by a mature AI ecosystem, strong enterprise adoption, and continuous innovation from major technology companies. Meanwhile, Asia Pacific represents the fastest-growing regional market, fueled by increasing AI investments, government-backed digital transformation programs, and expanding enterprise demand for intelligent automation solutions. As organizations scale AI-powered operations, the market size projection remains highly favorable, positioning autonomous agents as a cornerstone of next-generation business productivity.

Market Dynamics

Drivers

Increasing demand for automation in customer service

The growing demand for intelligent customer engagement and automated support solutions is emerging as a major driver of the AI agent’s market. Organizations across industries are increasingly adopting AI-powered agents to automate customer interactions, reduce operational costs, and deliver faster, more personalized services. As customer expectations continue to evolve toward real-time, round-the-clock support, businesses are turning to AI agents to enhance responsiveness while maintaining service quality at scale.

Modern AI agents can handle a wide range of customer service functions, including query resolution, appointment scheduling, order tracking, technical assistance, and personalized product recommendations. Unlike conventional chatbots, advanced AI agents can understand context, manage multi-step conversations, and continuously learn from interactions, enabling more accurate and human-like engagement.

Advancements in natural language processing (NLP) and large language models

Rapid advancements in natural language processing (NLP), large language models (LLMs), and generative AI technologies are significantly expanding the capabilities and adoption of AI agents. These technological developments have enabled AI agents to move beyond simple rule-based interactions and function as intelligent systems capable of understanding context, reasoning, generating content, and executing tasks with greater accuracy and autonomy.

The emergence of sophisticated large language models has enhanced the ability of AI agents to interpret complex queries, maintain conversational continuity, and deliver highly relevant responses across diverse business applications. As a result, organizations are increasingly deploying enterprise AI agents to support customer service, knowledge management, workflow automation, software development, sales operations, and decision support functions.

Opportunities:

Advancement of embodied and physical AI agents

The rapid advancement of embodied AI and physical AI agents is emerging as a significant growth opportunity in the AI agents market. Unlike traditional software-based AI agents that operate exclusively in digital environments, embodied AI agents are designed to interact with the physical world through sensors, robotics systems, computer vision, and real-time decision-making capabilities. This evolution is expanding the scope of AI agents beyond virtual assistance and workflow automation into manufacturing, logistics, healthcare, retail, automotive, and smart infrastructure applications.

Challenges:

Lack of contextual understanding and accuracy

A key challenge restraining the growth of the AI agents market is the limited contextual understanding and accuracy of AI agents in complex, dynamic, and industry-specific environments. While advancements in generative AI, large language models (LLMs), and autonomous AI agents have significantly improved machine intelligence, many AI systems still struggle to consistently interpret nuanced user intent, evolving business contexts, and domain-specific requirements with a high degree of accuracy.

AI agents are increasingly being deployed across customer service, enterprise automation, software development, healthcare, financial services, and business operations. However, their effectiveness often depends on the quality of data, contextual awareness, and reasoning capabilities available during task execution. In situations involving ambiguous instructions, multi-step workflows, or rapidly changing information, AI agents may generate inaccurate outputs, incomplete responses, or recommendations that fail to align with organizational objectives.

AI Agents Market Trends

• The AI agents industry is witnessing rapid expansion as enterprises increasingly deploy autonomous, multi-agent systems to automate complex business workflows, enhance decision-making, and improve operational efficiency. One of the most significant AI agents market trends in 2025 is the growing focus on AI education, agent orchestration, and enterprise-ready deployment frameworks that support large-scale adoption.
• Government-backed AI initiatives are strengthening the future talent pipeline. For example, Odisha’s AI Policy 2025 aims to integrate AI learning into schools and train thousands of individuals annually, helping build foundational skills required for next-generation AI agent development. At the same time, industry-led programs are accelerating workforce readiness. Google's Gen AI Academy in India has attracted substantial participation in generative AI, prompt engineering, and agent development courses, reflecting rising demand for enterprise AI agent expertise.
• Another key AI agent market growth driver is the increasing adoption of AI agent orchestration platforms. Organizations are leveraging multi-agent AI systems to coordinate tasks, automate workflows, and streamline functions such as risk assessment, customer service, and business operations. The broader availability of orchestration frameworks is creating demand for skills in governance, monitoring, and agent lifecycle management.
• The evolution of large language model (LLM)-powered agents is further reshaping the market. Autonomous AI agents are moving beyond task-specific automation to perform reasoning, planning, and real-time decision-making across enterprise environments. Simultaneously, low-code and no-code development platforms are making AI agent creation accessible to both technical and non-technical users, accelerating adoption across departments.
• As AI certifications gain greater recognition among employers, enterprise AI agent adoption is expected to accelerate through 2027, positioning AI agents as a foundational technology for business automation, digital productivity, AI voice agents, and intelligent workflow management.

AI Agents Market Analysis

Based on agents, the market is divided into conversational agent, autonomous agent, embodied ai agent, multi-agent systems and task execution Agent. The conversational agent segment dominated the market accounting for around 45% in 2025 and is expected to grow at a CAGR of over 41% through 2034.

• Conversational agent is leading the AI agents market in 2025. Chatbots and virtual assistants are used by businesses to improve knowledge sharing, onboarding, and customer support. Modular courses on intent detection, dialogue flow, and context handling are now available on training platforms. 
• Autonomous agents are gaining traction, especially in areas such as monitoring, predictive maintenance, and adaptive control systems. This segment's training focuses on integrating reinforcement learning with machine learning. Using lab dashboards and sandboxed simulations, enterprises use self-paced training environments where students create agents that can anticipate anomalies and act without human intervention. 
• Conversational agents continue to lead the AI Agent market due to their ease of use, fast deployment, and strong enterprise adoption, especially in customer service and internal support. Simultaneously, embodied Agent and multi-agent systems are expanding due to more complex use cases in sectors like defense and logistics, which call for practical, simulation-based training for mobility and teamwork. 
• For instance, in July 2024, Verizon integrated Google Cloud’s conversational AI into its customer service operations, deploying Gemini-powered virtual assistants trained on more than 15,000 internal documents. By early 2025, 28,000 Agent had used the system, which led to a 40% increase in revenue and a decrease in average call handling times. 
• Conversational, autonomous, and embodied AI agents make up over 55% of the market, highlighting their key role in business automation. underscoring their pivotal role in driving business automation. These agents enable real-time decision-making, human-like interaction, and task execution across industries, making them essential for improving efficiency, enhancing user experience, and reducing operational costs.

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Based on technology, the AI agents market is segmented into natural language processing (NLP), machine learning (ML) & deep learning, reinforcement learning (RL), computer vision, Speech recognition & generation, and large language models (LLMs). The natural language processing (NLP) segment dominates the market with 38% share in 2025, and the segment is expected to grow at a CAGR of over 44.6% from 2026 to 2034.

• Natural language processing (NLP) segment is fueled by demand for multilingual, context-aware chatbots and assistants. For instance, in May 2024, the Generative AI Credential Series was launched to certify users in a variety of positions, increasing the usage of NLP in industries including retail, banking, and government. 
• Machine learning (ML) & deep learning and reinforcement learning (RL) are making AI agents more adaptive across sectors like banking, retail, logistics, and robotics. Over time, these technologies assist Agent in seeing trends, learning from feedback, and improving their decision-making. They are facilitating task execution in dynamic contexts, intelligent automation, and real-time customization. Consequently, the development of intelligent agent behavior is increasingly reliant on ML and RL.
• For instance, in March 2024, Waymo announced it uses RL to process millions of simulated miles annually. Self-driving car safety and real-time driving judgments are enhanced by these simulations. Waymo's Agent can constantly adjust to new road conditions because of the application of reinforcement learning. This demonstrates how reinforcement learning facilitates risky, practical AI applications.
• Computer vision adoption is growing as businesses integrate visual intelligence into AI Agent for tasks like quality control, inventory checks, and facial recognition. Real-time image and video processing by these Agent allows for quicker and more precise decision-making. The industries driving adoption are manufacturing, retail, and healthcare. The need for vision-enabled bots is growing as visual data becomes increasingly crucial.
• Speech recognition & generation, reinforcement learning (RL) and large language models (LLMs) are key enablers of intelligent, conversational AI agents. These technologies enable agents to perform intricate, multi-step activities, comprehend voice directions, and produce replies that resemble those of a human. In industries including enterprise operations, healthcare, and customer service, adoption is speeding up. Training is concentrating on multilingual accuracy, safety, and contextual fluency as capabilities increase. 

Based on deployment mode, the market is segmented into cloud-based, on-premises, and edge computing integration. The cloud-based segment is expected to dominate as the ability to train thousands of employees across varying technical backgrounds, languages, and regulatory environments demands scalable, secure, and customizable training solutions.

• Cloud-based deployment leads the AI Agents market due to its scalability, flexibility, and ease of integration. It enables companies to manage, update, and activate Agent across international operations in a timely manner. Cross-team cooperation and quicker innovation are facilitated by centralized infrastructure. Cloud continues to be the favored option for agent deployment as businesses place a higher priority on speed and security.
• For instance, in June 2025, Commonwealth Bank of Australia launched CommBiz Gen AI using AWS, deploying over 2,000 AI models in just six weeks. A cloud-based Agent for internal operations and customer support was part of the implementation. This quick scale-up demonstrated how the cloud may be used to construct secure, enterprise-ready Agent. It illustrates how big organizations are using the cloud to increase their reach and agility. 
• On-premises AI agents are preferred in sectors like government, healthcare, and finance where data privacy, regulatory compliance, or low-latency processing is critical. These implementations give businesses complete command over private data and system functionality. They are perfect for high-security settings, but they are less adaptable than the cloud. Where data governance is unavoidable, adoption is constant. 
• For instance, in May 2025, Dell and Cohere launched Cohere North on Dell AI Factory, an on-premise agentic AI solution tailored for financial and enterprise users. It allows for the building of scalable Agent while preserving data in local infrastructure. This configuration preserves AI innovation while meeting regulatory requirements. The collaboration is a response to the increasing need for safe, adaptable AI implementations. 
• Edge AI agents, accounting for 10% of the AI agents deployment market in 2025, are becoming more popular, particularly in real-time and low-latency applications. These agents operate locally on gadgets used for remote monitoring, industrial machinery, and driverless cars, and updates are sent via over-the-air patches.

US dominated the AI agents market in North America with around 78% share in 2025 and generated USD 3 billion in revenue.

• The US remains a dominant force in the market, fueled by a robust digital infrastructure, widespread enterprise AI adoption, and strong innovation ecosystems. With high penetration of cloud services, advanced machine learning platforms, and a tech-savvy consumer base, American businesses and users actively engage with AI-driven solutions for communication, automation, and decision-making. 
• For instance, in October 2024, Google Cloud hosted Agent Developer Days at various tech hubs in the United States, providing practical instruction in multi-agent design with Vertex AI Agent Builder. These programs demonstrate how businesses are giving practical AI agent capabilities top priority to scale automation.
• Canada accounted for roughly 23% of the North American AI Agent market in 2025, with an expected CAGR of over 43% from 2026 to 2034. Ethical and inclusive agents deployment across industries is being promoted by national initiatives like CIFAR's Pan-Canadian AI Initiative. Funding for agent-centric education and innovation in municipal services and public health is part of this. 
• The US leads the AI Agents market with a strong foundation of tech giants, AI startups, and cloud infrastructure. Teams are finding it easier to design Agent because of tools like Vertex AI Agent Builder and Copilot Studio. In response to the growing demand, academic institutions and businesses are implementing agent-focused programs. The United States continues to set the standard for the deployment of AI Agent worldwide due to its highly qualified workforce and innovative atmosphere.

The AI agents market in China is expected to experience significant and promising growth from 2026 to 2034.

• Asia Pacific accounts for around 20% of the market and is the fastest-growing region with a CAGR of nearly 35%. Rapid enterprise automation, robust government skilling initiatives, and an increasing number of digital-first customers are the main drivers of growth. Adoption in business and public services is being led by countries like Indonesia and India.
• China's AI agents market is surging, fueled by a digitally-savvy populace and the country's assertive embrace of cutting-edge technologies. Bolstered by robust government backing, a predominantly mobile user base, and an abundance of data, China is deploying AI agents across diverse sectors, including finance, healthcare, manufacturing, and public services. These agents are not just tools; they're becoming integral to daily operations and consumer interactions, evolving from mere virtual assistants to fully autonomous service robots. 
• China is building a strong talent pipeline through university partnerships and government-backed AI training increase real-time efficiency, local businesses are utilizing Agent in e-commerce, logistics, and smart cities. China's influence on the development of intelligent Agent is being solidified by this emphasis on localized innovation. 
• For instance, in March 2025, Baidu launched a national training initiative with Tsinghua University, aiming to upskill 10,000 professionals in AI agents development using its ERNIE Bot Agent Builder. The program's emphasis on role-based training, multi-agent collaboration, and secure deployment demonstrates China's goal of developing an independent talent pool for AI adoption.
• India and Japan will drive the growth of the AI agents market in Asia Pacific. India will leverage its large digital population and initiatives like Digital India to implement AI agents in multilingual support, process automation, and conversational AI across e-commerce, finance, and public services. Japan will utilize its advanced technology to deploy AI agents in robotics, smart manufacturing, and automated services. Both countries will focus on enhancing user engagement, operational efficiency, and localized experiences.

The AI agents market in Germany is expected to experience significant and promising growth from 2026 to 2034.

• Europe holds the third largest share in the market, growing at a steady pace with around 36% CAGR. Demand for safe, compliant AI agent deployments is being driven by the region's stringent data protection regulations, such as GDPR. Enterprise adoption and talent development are being further accelerated by public funding and business digitalization initiatives.
• Germany is emerging as a key player in the AI agents market, supported by strong industrial automation and digital-first public services. Businesses are using Agent for internal operations, regulatory reporting, and customer service. The country is a center for explainable and responsible agent innovation because of its emphasis on trusted AI.
• In June 2025, Deutsche Telekom and NVIDIA launched Europe’s first sovereign industrial AI cloud in Germany, supporting secure, scalable AI agents deployment. The program, which focuses on manufacturing and enterprise applications, reflects Germany's drive for high-performance, compatible AI infrastructure. 
• France is emerging as a key player in the AI agents market, supported by national strategies focused on ethical AI, digital sovereignty, and public service innovation. AI Agent are being used in healthcare, education, and government portals to automate tasks and provide multilingual support. The deployment of agents in regulated areas is being shaped by investments in human-in-the-loop design and explainable AI.
• The Netherlands is advancing AI agents adoption across logistics, finance, and public services. For instance, in May 2025, Amsterdam launched ChatAmsterdam, a secure AI assistant, used by more than 800 civil servants to prepare and summarize documents. This demonstrates the nation's emphasis on using trusted Agent in a practical manner.

The AI agents market in UAE is expected to experience significant and promising growth from 2026 to 2034.

• MEA holds a growing share of the market, expanding to a CAGR of around 20% from 2026 to 2034. National AI strategies, digital government programs, and growing enterprise automation in Gulf countries are driving growth. AI Agent are being used in infrastructure, banking, and public services by nations like Saudi Arabia and the United Arab Emirates. Broader adoption is hampered by infrastructure deficiencies and a lack of talent in some African countries.
• The UAE leads MEA in AI agents innovation, driven by Vision 2031 and smart city investments. For instance, in March 2025, the Dubai Digital Authority trained more than 1,500 employees and deployed agents to resolve traffic fines, permits, and visas in collaboration with Microsoft and OpenAI. This illustrates the country's drive towards AI-powered public service delivery and governance. 
• The private sector in the UAE is rapidly expanding its usage of AI agents. In March 2025, Emirates NBD, by utilizing Google Vertex AI, trained workers on secure integration and improved fraud monitoring and customer service. Demand for practical training increased while Etisalat and ADNOC began testing edge Agent for remote monitoring. 
• Saudi Arabia and South Africa are becoming key adopters in the AI Agent market.  In keeping with Vision 2030, Saudi Arabia is using AI Agent to automate government functions, especially in the areas of healthcare and smart city planning. Businesses in South Africa are using Agent for operations and customer service as the need for safe, cloud-based, and multilingual solutions increases. 
• Egypt, Kenya, and Nigeria are exploring AI Agent for financial services, education, and public administration. Low-code Agent are being piloted by startups and government organizations to expedite service access as mobile-first populations grow. Building local talent and scaling solutions that function in both urban and rural settings are the main goals.

The AI agents market in Brazil is expected to experience significant and promising growth from 2026 to 2034.

• Latin America accounted for around 27% of the market in 2025, fueled by rising automation needs across finance, retail, and government services. Growing cloud use and the need for affordable, multilingual solutions fuel growth. However, full-scale deployment is constrained by disparities in skill and AI infrastructure in rural areas.
• Brazil is advancing AI agents deployment with strong government and enterprise backing. To lower legal expenses and boost productivity, In June 2024, the government teamed up with OpenAI through Microsoft Azure to employ AI bots for case analysis. 
• Brazil’s private sector is embracing multi-agent systems for automation. In early 2025, Itau Unibanco deployed Amazon Bedrock and Claude to expedite compliance and loan processing. To guarantee safe, efficient agent use throughout operations, more than 1,200 employees received training.
• Mexico and Colombia are gaining traction in the AI agents market, driven by automation needs in banking, telecom, and customer service.  Adoption is being fueled by support from startups and digital programs, while institutions are promoting agent skills through certifications and boot camps.
• In Argentina, Chile, and Peru, early adoption is taking root through public sector trials, small business deployments, and tech incubators.  AI agents are being investigated for use in healthcare support, e-commerce automation, and municipal services. Cloud-enabled, lightweight platforms are becoming more popular, especially those with low latency and Spanish interfaces for use in rural locations.

AI Agents Market Share

• The AI agents industry is highly competitive, with the top seven companies—Amazon, Anthropic, Google, IBM, Meta, Microsoft, and OpenAI—collectively accounting for approximately 56% of the AI agent market share in 2025. These organizations are shaping enterprise AI adoption, multi-agent AI systems development, and next-generation AI assistant services across industries.
• OpenAI remains a global AI agent market leader, advancing conversational and autonomous AI agents through its GPT models, custom AI agents, and enterprise APIs. Its continuous innovation has accelerated adoption among enterprises seeking intelligent automation and decision-support capabilities.
• Microsoft has emerged as a dominant force in the enterprise AI agents market through Copilot Studio and deep integration with Microsoft 365. Organizations increasingly deploy AI agents for HR, customer support, and workflow automation, benefiting from Microsoft's scalable low-code ecosystem.
• Google continues to strengthen its AI agent market position with Vertex AI Agent Builder and Dialogflow CX, enabling sophisticated conversational AI and multi-agent AI systems. Its strong cloud infrastructure and multilingual capabilities support adoption across retail, banking, and public sector organizations.
• Amazon is expanding its influence through Bedrock Agents and Amazon Lex, helping enterprises build secure, scalable AI agents for complex business operations. The company’s cloud-first approach is particularly attractive to healthcare, logistics, and financial services firms.
• Anthropic is gaining market share with Claude-powered AI solutions that emphasize safety, reliability, and enterprise-grade deployment. Its technology is increasingly adopted in legal, financial, and technology sectors.
• IBM differentiates itself through Watsonx Assistant, offering governance, transparency, and compliance-focused AI agent solutions for regulated industries. Meanwhile, Meta continues to broaden its AI ecosystem across WhatsApp, Messenger, and Workplace, leveraging its vast user base to expand intelligent assistant capabilities globally.
• As AI agent market trends continue to evolve, these companies remain at the forefront of innovation, driving growth across the US market, North America, and the broader global landscape

AI Agents Market Companies

Major players operating in the AI agent industry are:

• Amazon
• Anthropic
• Automation Anywhere
• Google
• IBM (Watson)
• Meta
• Microsoft
• NVIDIA
• OpenAI
• UiPath
   
• Amazon and Anthropic are key players in AI agents development. Safe, scalable multi-step processes integrated with AWS services are made possible by Amazon's Bedrock Agent and Lex, while Anthropic provides developer-friendly tools and Claude-powered APIs. Trust, compliance, and real-time deployment for enterprise use are prioritized by both businesses.
• Google and IBM focus on enterprise-ready AI agents with strong governance. Building scalable conversational Agent is made easier by Google's Vertex AI Agent Builder and Dialogflow CX, while IBM's Watsonx Assistant provides secure, no-code solutions designed for regulated industries. Both place a strong emphasis on auditability, compliance, and industry-specific skills to satisfy intricate business requirements.
• Meta and Microsoft are expanding their AI agents presence in communication and productivity. To improve internal workflows and customer engagement, Meta incorporates LLM-powered assistants into Workplace, WhatsApp, and Messenger. Microsoft uses Copilot Studio, a low-code tool in Microsoft 365, to create scalable Agent for operations, support, and human resources. Both emphasize wide user reach and smooth integration.
• OpenAI is driving AI agents innovation with its GPT models and Operator platform, enabling developers to build customizable, task-specific Agent using memory, tools, and APIs. Its intuitive user interfaces facilitate quick adoption in sectors like operations and customer service. Businesses are finding it easier to incorporate AI Agent into their workflows thanks to OpenAI's emphasis on scalability and flexibility.

AI Agent Industry News

• Anthropic reportedly raised $65 billion in a new funding round, reaching a $965 billion valuation and approaching $50 billion in annualized revenue, strengthening its position in the AI-agent and foundation-model market.
• AlphaSense secured $350 million in funding, lifting its valuation to $7.5 billion. The company also disclosed that it has surpassed $600 million in annual recurring revenue (ARR), reflecting strong enterprise demand for AI-powered intelligence and agentic workflows.
• Meta launched AI business agents across WhatsApp, Instagram, and Messenger. The company said over 1 million businesses used the agent during testing. Meta also highlighted that its paid messaging business exceeds a $2 billion annual run rate, while capital expenditures could reach $145 billion this year. 
• AI coding-agent startup Cognition, valued at approximately $10 billion, acquired the remaining assets/business of Windsurf, further consolidating the rapidly growing AI-agent software development market.
• TrueFan AI raised $10 million in a funding round led by Baring PE India and Z3Partners to expand its AI-generated video and enterprise AI capabilities.
• Microsoft unveiled Project Solara, an AI-agent-centric platform designed for an “agent-first” computing ecosystem, signaling a strategic shift from app-based interactions toward autonomous AI agents

The AI agents market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Mn) from 2022 to 2034, for the following segments:

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Market, By Agent

• Conversational agents
• Autonomous agents
• Embodied AI agents
• Multi-agent systems
• Task execution agents

Market, By Technology

• Natural language processing (NLP)               
• Machine learning (ML) & deep learning                   
• Reinforcement learning (RL)             
• Computer vision                     
• Speech recognition & generation                  
• Large language models (LLMs)                      

Market, By Deployment Mode

• Cloud-based   
• On-premise    
• Edge computing integration  

Market, By Application

• Customer service & support
• Process automation
• Personal assistants
• Healthcare
• Education & E-learning
• Finance
• E-commerce & retail
• Media & entertainment
• Cybersecurity
• Autonomous vehicles & robotics

Market, By End Use   

• Healthcare and life sciences  
• Banking, financial services, and insurance (BFSI)      
• Retail and consumer goods   
• Manufacturing and automotive         
• Technology and telecommunications
• Government and public sector          
• Education and research         
• Media and entertainment                             

The above information is provided for the following regions and countries:

• North America
  • US
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • ANZ
  • Philippines
  • Vietnam
  • Indonesia
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • UAE
  • Saudi Arabia
  • South Africa