Infobip Research Shows APAC Brands Leading in Channel Adoption, With 57% Using Agentic AI
By ANI | Updated: May 18, 2026 17:30 IST2026-05-18T22:57:27+5:302026-05-18T17:30:03+5:30
BusinessWire India New Delhi [India], May 18: Global AI-first cloud communications platform Infobip's 2026 Customer Experience (CX) Maturity Report ...

Infobip Research Shows APAC Brands Leading in Channel Adoption, With 57% Using Agentic AI
BusinessWire India
New Delhi [India], May 18: Global AI-first cloud communications platform Infobip's 2026 Customer Experience (CX) Maturity Report reveals what separates brands that automate from brands that truly connect. The report shows that APAC brands are ahead in mobile-first engagement and AI-led automation, reflecting the region's advanced messaging culture and high customer expectations.
Brands in India and Indonesia report 91% WhatsApp adoption, 60% in-app messaging usage, and 18% RCS adoption 3x higher than other regions. Chatbot and agentic AI adoption are also the highest globally, underscoring how essential conversational experiences have become across the region. With the highest System Potential score of any region, enterprises in Indonesia and India have a clear opportunity to elevate CX maturity by better connecting customer data with the interactions already happening at scale.
With ever-increasing customer expectations, achieving CX maturity is the goal for major global brands. This hinges on how well brands can build experiences on mobile channels. There is a fundamental difference between a simple fraud alert on SMS and a two-way WhatsApp chat that allows customers to act immediately.
Globally, 96% of brands automate customer interactions in some way, but few are delivering a seamless experience. Only 58% of brands say their channels are fully in sync, and 60% have centralized storage of customer data. Looking closer, only 27% use an orchestration platform, and 50% of brands say their tools are fully API-ready. This means half of the brands struggle with connecting tools and data, and many do not use a unified platform to build truly seamless experiences.
This fragmentation is stifling AI adoption and optimization and prevents a seamless customer experience. While over half (53%) of brands use agentic AI in their customer journeys, growth is being held back by disconnected data and a lack of trust in the technology. Organizations cite user trust (71%), data privacy (64%), and tech stack integration (41%) as the primary barriers to deeper AI deployment.
CX Maturity looks at what brands are automating now, how they are doing it, and the potential that already exists in their tech stack to streamline AI adoption and scale growth.
Ante Pamukovic, Chief Revenue Officer at Infobip, commented: "Our CX Maturity report highlights a turning point for global brands this year. The race to adopt agentic AI is well underway, but CX Maturity will be the key differentiator between brands prepared to launch effective AI-powered journeys that last and the ones that will struggle with scaling their adoption. To move from basic automated responses to deep, seamless customer journeys, brands must overcome the dual barriers of fragmented systems and user trust."
Elka Popova, VP of Connected Work from Frost & Sullivan, commented on the state of play in the market: "Agentic AI has redefined the CX landscape with capacity to reason, plan, and implement across workflows. The challenge has now shifted from exploring the technology's potential to implementing it, requiring enterprises to adapt their systems and build customer trust."
For more information and to view the full findings, download the CX Maturity Report here.
Understanding CX Maturity:
Infobip has ranked three sectors' CX Maturity for their ability to deliver outstanding customer experiences with precision and consistency, by measuring three variables out of 100:
1. Journey: which parts of the customer journey are automated with communication and mobile solutions.
2. Sophistication: what tech and AI are used for automation and what features are enabled for each use case.
3. System potential: measures the API-ready infrastructure organizations have in place - the communication solutions, channels, and capabilities already available that can be activated to improve customer journeys.
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