MartechAI launches the Top 100 MarTech Brands in India list to spotlight companies driving innovation in marketing technology, AI, and customer engagement.
India’s martech stack is evolving from campaign software to a core growth engine, powering data, AI, personalisation and real-time customer engagement across enterprise brands.
Kana raises $15 million to develop an agentic AI platform designed to automate marketing operations and connect enterprise martech systems.
India’s enterprise leaders discuss unified, AI-driven customer experience at MarTechAI’s executive roundtable, highlighting composable MarTech, integrated data platforms, and AI-powered growth.
Enterprises are architecting AI agents into martech stacks to enhance automation, data integration and campaign performance.
Bluecore launches an AI powered marketing agent to automate retail campaigns and enhance customer personalisation.
AI is transforming performance marketing from manual optimisation to automated decision systems. Here’s how privacy, programmatic growth, and budget pressure are reshaping the rules.
C Com Digital has launched Synapse1, an AI-powered platform built to enable multilingual marketing campaigns across regional languages and digital channels.
Agentic AI is entering Indian marketing teams, automating insights, media optimisation, and customer journeys across FMCG, BFSI, e-commerce, and telecom sectors.
Amazon is exploring the launch of an AI content marketplace that would allow creators to sell AI generated assets to businesses and developers.
Loyyal launches Perxii AI, a WhatsApp-based AI agent that helps small businesses manage loyalty programs through simple conversational interactions.
Fibr AI has raised $57 million in seed funding led by Accel to accelerate its AI-driven marketing automation platform and expand product development and market reach.
Scott Brinker explains why AI agents are now real in MarTech, how customer-side AI is reshaping discovery, why data readiness matters, and what CMOs should expect as stacks evolve in 2026.
From generative AI and unified data platforms to privacy-first personalization and AI-powered discovery, these ten MarTech trends explain how brands will drive smarter, faster growth in 2026.
AI is reshaping marketing teams, tools, and workflows—moving from task automation to core decision-making across content, personalisation, analytics, and skills in global and Indian markets.
Havas CX India has appointed Amandeep Singh Kochar as EVP Experience Strategy and Martech Head, reinforcing its focus on customer experience, data and technology-led transformation.
From AI agents and predictive measurement to workflow redesign and responsible AI, these 10 trends will shape how marketing works next.
From AI adoption and data privacy to martech complexity and ROI pressure, CMOs face five critical challenges shaping marketing’s future.
Voice AI company ElevenLabs crossed $330 million in annual recurring revenue last year, reflecting rapid enterprise adoption of synthetic voice technology.
AI-powered martech is reshaping the CMO’s role, from personalization and automation to data-driven growth. Here’s how marketing leaders are adapting.
PointGuard AI has appointed Dev Mehta as Director of Marketing to strengthen brand strategy and go to market efforts in AI security.
Researchers have developed self-healing AI systems that can identify and repair internal failures, reducing errors linked to digital aphasia in neural networks.
From AI agents to unified data and responsible AI, these five martech shifts will redefine how marketing strategies are built and executed in 2026.
CMOs are shifting budgets from flashy AI to invisible tools like decision engines, orchestration, and predictive models that quietly deliver real marketing ROI.
How Shriram Finance overhauled its digital lead funnel using personalization, nudges, and automation to achieve 171x ROI and slash acquisition costs.
As AI agents enter marketing workflows, agentic metadata is emerging as a critical layer for transparency, governance, and scalable AI-powered martech stacks.
What a perfect martech stack looks like for large enterprises—key layers, tools, and principles CMOs need to turn complexity into growth.
Scott Brinker’s 2020 martech predictions—from no-code creators to AI-led ops—are shaping how marketing teams operate in 2026.
Microsoft CEO Satya Nadella is taking a more hands on approach to AI development, streamlining decision making to speed up innovation and deployment.
Instagram CEO says rapid advances in AI have weakened digital trust, urging users and platforms to reassess how authenticity is verified online.
As marketing teams adopt AI and SaaS tools at speed, CMOs are losing visibility over fragmented, invisible martech stacks, creating governance, data, and ROI challenges.
As consumer skepticism grows, brands are finding that real proof—screenshots, receipts, reviews, and DMs—builds more trust than polished ads, reshaping modern marketing strategies.
Venture capital investors expect AI agents, selective IPOs and evolving funding models to shape technology markets and startup growth in 2026.
A new middle layer of AI prompt engineers, automation orchestrators, and data translators is quietly reshaping Indian marketing teams as brands scale generative AI across campaigns and workflows.
ServiceNow intensifies its acquisition strategy with a multi billion dollar cybersecurity deal as it expands AI driven enterprise capabilities.
Indian brands are investing heavily in MarTech and AI platforms, but a widening talent gap is preventing companies from fully using the tools they already own.
As AI-led discovery grows, consumers are influencing how brands are described, ranked, and recommended—shifting power from brand messaging to collective user signals and behaviour.
AI-powered tools are enabling consumers to generate sharper, more persuasive complaints, forcing brands to rethink customer service, trust, and response strategies in the age of generative AI.
The explosion of AI-powered martech tools is increasing pressure on marketers, reshaping roles, widening skills gaps and driving burnout as teams struggle to keep pace.
AI-generated product descriptions are creating accuracy issues on e-commerce platforms, raising concerns around consumer trust, misleading claims and the need for stronger human oversight.
In an in-depth email interview with Brij Pahwa, Debashis Singh, CIO, Persistent Systems, explains why AI has moved decisively beyond productivity gains to become the central growth engine.
AI is reshaping the balance of power between CMOs and CTOs, forcing marketing and technology leaders to share ownership of data, budgets and AI-driven growth strategies.
AI-generated screenshots from tools like ChatGPT are becoming social currency. This story explores how brands, creators, and marketers are leveraging the AI screenshot economy.
As brands experiment with AI-generated memes and humor, marketers debate whether machines can truly understand comedy or just imitate it at scale.
India’s DPDP Act 2023 introduces strict consent, data retention and breach rules, forcing marketers to rethink how they collect, store and use consumer data.
Indian brands are adopting AI tools like Jasper, Canva and HubSpot to scale content creation, improve efficiency and drive ROI as content marketing becomes AI-led in 2025.
As AI spending rises, Indian brands are questioning ROI. This story examines where marketing budgets are being wasted and how leaders are reassessing AI tools.
A growing divide is emerging in Indian marketing as brands with strong AI systems pull ahead of those still relying on manual tools, reshaping talent, performance and competitiveness.
India’s leading CMOs are shifting from building complex martech stacks to orchestrating AI-driven platforms, focusing on scalability, personalization, ROI, and experience-led growth.
Most marketers use AI tools in silos (for segmentation or content, etc.), but true “agentic” systems coordinate them like a team of assistants.
