AI Trends in 2025: The Global and India Perspective

Over the past five years, the rapid advancement of AI has driven remarkable innovation in the field. Generative AI in 2025 is evolving beyond creative tools and chatbots, quickly becoming a cornerstone for industry-specific transformations. Retailers are redefining personalized shopping, healthcare providers are streamlining patient care through predictive AI, and manufacturers are accelerating design cycles while reducing costs.

Here are the findings from Salesforce’s Generative AI Snapshot Research Series that surveyed over 4,000 full-time workers across IT, marketing, sales, and service, from the U.S., UK, Australia, and India.

• 61% of workers currently employ or intend to use generative AI
• Over 68% believe generative AI will enhance customer service capabilities
• 67% think generative AI will maximize the benefits of other technological investments, such as AI and machine-learning models
• 67% of IT leaders have made generative AI a priority for their business in the next 18 months, while 33% identified it as a top priority

These findings highlight the growing confidence in generative AI's transformative potential across industries. By integrating generative AI into business strategies, organizations are poised to unlock greater efficiencies, enhance customer experiences, and drive innovation in problem-solving. As businesses prioritize its adoption, generative AI is becoming a cornerstone for achieving competitive advantage and maximizing returns on existing technological investments. This momentum signifies a shift toward a more dynamic, AI-driven approach to meeting evolving customer and business needs.

| Trends Driving Business Impact

AI is transforming enterprise workflows by automating tasks, analyzing data, and improving operational agility. The rise of agentic workflows, where AI agents autonomously execute tasks and make informed decisions, is enabling businesses to reduce manual intervention and enhance resource optimization. This shift fosters dynamic problem-solving, personalized customer interactions, and adaptive process management—key to thriving in a digital-first world.

Multi-modal AI is enabling richer, more interactive applications by combining text, images, audio, and video. This capability enhances customer experiences through tools like interactive virtual assistants and personalized recommendations. For instance, multi-modal systems can analyze customer inquiries using voice tone, textual intent, and visual context, resulting in accurate, empathetic responses. Applications in healthcare diagnostics, autonomous vehicles, and retail are setting the stage for seamless human-AI collaboration and innovation across industries.

Enterprises in India are prioritizing tailored AI solutions to address unique challenges in their sectors. From automating legal document reviews to generating personalized treatment plans in healthcare and hyper-relevant marketing campaigns in retail, industry-specific AI implementations are delivering targeted value to Indian enterprises. Collaborations between AI developers and domain experts are ensuring these solutions align with industry workflows, regulatory frameworks, and customer expectations.

Companies are making significant investments in upskilling teams and building internal AI expertise to reduce reliance on external providers. Training programs, certifications, and hands-on experience with advanced tools are equipping employees to leverage AI effectively. Cross-functional collaboration across marketing, operations, and product development is fostering innovation and accelerating tailored AI deployments. This focus on talent development positions enterprises for sustained growth and adaptability in an AI-driven landscape.

Businesses are increasingly focusing on strategies to build trust in AI by ensuring transparency, accountability, and ethical practices in their implementations. They are adopting clear communication about how AI systems work, addressing potential biases, and prioritizing user privacy and data security. Additionally, organizations are emphasizing regulatory compliance and incorporating human oversight to enhance confidence in AI-driven processes. These efforts aim to create a balance between innovation and reliability, fostering greater acceptance and trust among stakeholders.

| Key Takeaway

Tracking emerging AI trends and adapting to technological advancements are critical for maintaining a competitive edge.

In 2025, AI is driving transformative change across industries, with generative AI streamlining workflows, improving customer service, and amplifying returns on technological investments. Multi-modal AI is enabling advanced, interactive applications in sectors like healthcare and retail, while tailored, industry-specific solutions are unlocking targeted value in areas such as pharma, manufacturing, and supply chains. Organizations are prioritizing AI talent development through upskilling and cross-functional collaboration to ensure seamless integration. Meanwhile, building trust in AI through transparency, security, and ethical practices remains a critical focus for businesses aiming to balance innovation with reliability.