India Leads in Agentic AI Adoption, Unlocking $450B Opportunity by 2028: Capgemini
India Leads in Agentic AI Adoption - Capgemini CRI Report

India Insights:

14% of organizations globally are already deploying AI agents partially or at-scale

  • 45% of surveyed Indian organizations are considering experimenting with/deploying AI agents in the near future (6 to 12 months), as compared to 31% surveyed global organizations
  • 30% of surveyed Indian organizations have started exploring the potential of AI agents, which is the same compared to surveyed global organizations  

16% of organizations globally have a strategy for implementing AI agents

 Implementation strategy for AI agents

  • 33% of surveyed Indian organizations have a strategy and roadmap are in place, and are implementing agentic AI initiatives, as compared to 16% surveyed global organizations
  • 23% of surveyed Indian organizations are currently formulating a strategy for implementation of AI agents


Three in five organizations globally are looking to partner with solution providers to implement or tailor available AI agents

Organizations' build vs. buy preferences for Agentic solutions

  • 93% of surveyed Indian organizations have partnered with solution providers to implement/tailor available AI agents, as compared to 62% surveyed global organizations
  • 53% of surveyed Indian organizations have developed proprietary AI agents entirely in-house, as compared to 33% surveyed global organizations
  • 53% of surveyed Indian organizations have adopted a hybrid approach, combining in-house development with external solutions to balance customization and scalability which is the same compared to surveyed global organizations

 Over half of organizations globally prefer consumption-based pricing for Agentic AI solutions

Preferred pricing models

  • 67% of surveyed Indian organizations preferconsumption-based pricing for Agentic AI solutions (based on how much of a service is used: e.g., price per to-ken, no. of tokens handled), as compared to 55% surveyed global organizations
  • 53% of surveyed Indian organizations preferlicense-based pricing for agentic AI solutions (Pay per user/license), as compared to 37% surveyed global organizations
  • 47% of surveyed Indian organizations preferplatform-based pricing for agentic AI solutions (flat amount for the entire platform) as compared to 43% surveyed global organizations

 

On average, 3 out of 5 business functions are likely to have AI agents handling at least one process or sub-process daily

  • 58% of surveyed Indian organizations revealed that IT business functionsexpect AI agents to manage at least one process or sub-process daily in 12 months, as compared to 51% surveyed global organization     
  • 56% of surveyed Indian organizations revealed that sales business functionsexpect AI agents to manage at least one process or sub-process daily in 12 months, as compared to 47% surveyed global organization     
  • 53% of surveyed Indian organizations revealed that finance business functionsexpect AI agents to manage at least one process or sub-process daily in 12 months, as compared to 30% surveyed global organization                      
  • 48% of surveyed Indian organizations revealed that customer services and support business functionsexpect AI agents to manage at least one process or sub-process daily in 12 months
  • 44% of surveyed Indian organizations revealed that operations business functionsexpect AI agents to manage at least one process or sub-process daily in 12 months, as compared to 39% surveyed global organization
  • 41% of surveyed Indian organizations revealed that customer services and support business functionsexpect AI agents to manage at least one process or sub-process daily in the next 1-3 years, as compared to 31% surveyed global organizations
  • 39% of surveyed Indian organizations revealed that product design/ R&D/supportbusiness functions expect AI agents to manage at least one process or sub-process daily in the next 1-3 years, as compared to 33% surveyed global organizations
  • 38% of surveyed Indian organizations revealed that marketing and communicationsbusiness functions expect AI agents to manage at least one process or sub-process daily in the next 1-3 years, as compared to 33% surveyed global organizations
  • 34% of surveyed Indian organizations revealed that manufacturingbusiness functions expect AI agents to manage at least one process or sub-process daily in the next 1-3 years, as compared to 28% surveyed global organizations
        


Nearly half of organizations globally scaling AI agents have complete trust in their abilities

  • 70% of surveyed Indian organizations are in the pilot phase and are neutral about their trust in AI agents, as compared to 30% surveyed global organizations
  • 49% of surveyed Indian organizations are in the exploratory phase and completely trust AI agents, as compared to 37% surveyed global organizations
  • 42% of surveyed Indian organizations are in the implementation phase and completely trust AI agents


Few organizations globally are actively mitigating the risk of implementing Agentic AI

  • 42% of surveyed Indian organizations are concerned about safety risks while taking active measures to mitigate the risk of implementing agentic AI, as compared to 29% surveyed global organizations
  • 37% of surveyed Indian organizations are concerned about their privacy while taking active measures to mitigate the risk of implementing agentic AI, as compared to 34% surveyed global organizations

 

Only one-third of organizations globally understand where to employ AI agents

  • 50% of surveyed Indian organizations revealed that they have sufficient knowledge and understanding of AI agents and their capabilities
  • 42% of surveyed Indian organizations revealed that are well aware of the difference between AI, Gen AI, and AI agents,as compared to 39% surveyed global organizations

Most organizations globally lack data readiness

  • Surveyed Indian organizations with above average maturity in:

○  53% for data infrastructure, as compared to surveyed 36% global organizations

○  47% for data quality and availability, as compared to surveyed 32% global organizations

○  40% for data integration and interoperability, as compared to surveyed 29% global organizations

○  40% for data monitoring and lifecycle management, as compared to surveyed 30% global organizations

○  40% for data volume, as compared to surveyed 39% global organizations

○  40% for data governance and security

  • Surveyed Indian organizations with average maturity in:

○  53% for data volume, as compared to surveyed 31% global organizations

○  53% for data governance and security, as compared to surveyed 24% global organizations

○  47% for data infrastructure, as compared to surveyed 25% global organizations

Only 1 in 5 organizations globally has a mature AI infrastructure

  • 93% of surveyed Indian organizations revealed that they have partial integrationwith select enterprise systems for AI infrastructure, compared to surveyed 55% global organizations
  • 80% of surveyed Indian organizations revealed that they have partial orchestrationusing rule-based workflows for specific use cases for orchestration, as compared to surveyed 47% global organizations
  • 73% of surveyed Indian organizations revealed that they predictive security with automated threat detection, risk monitoring, and regular updates for AI infrastructure, as compared to surveyed 51% global organizations
  • 67% of surveyed Indian organizations revealed that they have set up cloud-based GPUs or TPUsfor enhanced performance in specific workloads for computing, compared to surveyed 52% global organizations
  • 53% of surveyed Indian organizations revealed that they have periodic fine-tuning capabilities for AI infrastructure, as compared to surveyed 45% global organizations

AI agents are likely to evolve to members in human-supervised teams

                                                                                               

  • 36% of surveyed Indian organizations believe that AI agents will function as autonomous members within human-supervised teamsin the next 12 months, as compared to surveyed 21% global organizations
  • 31% of surveyed Indian organizations believe that AI agents will augment human team memberswithin the next 1 to 3 years, as compared to surveyed 19% global organizations

Three-quarters of organizations globally believe that benefits of adding human oversight to AI agent-driven tasks will outweigh costs 

  • 38% of surveyed Indian organizations believe that adding human oversight to AI agent-driven tasks and processes will deliver significantly more benefits than costs within the next 1 to 3 years.

Data management and decision-making are critical

Top 3 hard skills required to build, manage and harness the potential of AI agents

  • 56% of surveyed Indian organizations cite data management as one of the most critical hard skills
  • 56 % of surveyed Indian organizations cite programming and software developmentas one of the most critical hard skills
  • 39% of surveyed Indian organizations cite troubleshooting and debugging AI systems as one of the most critical hard skills

Top three soft skills required to build, manage, and harness the potential of AI agents

  • 67% of surveyed Indian organizations cite logical reasoningas one of the most critical soft skills
  • 56% of surveyed Indian organizations cite decision-makingas one of the most critical soft skills, as compared to 52% global surveyed organizations
  • 44% of surveyed Indian organizations cite collaboration/teamworkas one of the most critical soft skills

Demonstrated accuracy and transparency into all actions of AI agents are top factors that could improve trust

  • 48% of surveyed Indian organizations factor demonstrated accuracy and reliability to improve trust in AI agents,
  • 42% of surveyed Indian organizations factor human oversight with the ability to intervene or overrule at any point to improve trust in AI agents
  • 42% of surveyed Indian organizations factor robust security, governance, and complianceto improve trust in AI agents,

Only 14% globally have full integrated ethical AI principles

  • 43% of surveyed Indian organisations are at the developed maturity level in implementing controllable with clear accountabilityof ethical AI principles, as compared to 36% surveyed global organizations
  • 41% of surveyed Indian organizations are at the developed maturity level in implementing ethical AI principles for being respectful of privacy and data protection,
  • 26% of surveyed Indian organisations are at the emerging level of implementation of sustainable AI principles

Disclaimer: This is a press release.