Our 2025 State of Business-Driven Technology Report titled “The AI Imperative: Business Technology At The Tipping Point” details the steep rise of AI adoption. Findings indicate that 76% of companies have moved beyond exploratory AI, signaling a significant shift from experimental to practical application. In addition to insights into how businesses are leaning into AI implementation, the report dives into what AI adoption looks like for several industries. Which industries are leading AI adoption and what technologies are they prioritizing? Read on for the breakdown by industry.
Financial Services & Fintech
- The highest AI adoption rate (85%) in moderate to advanced implementation
- 67% prioritizing API development and integration
- 80% reported active software projects (complete or in progress)
- 93% identified revenue growth as their #1 benefit from business-driven technology
- Leading in AI development and integration (85%), positioning for future growth
AI Use Cases In Financial Services & Fintech:
- Fraud detection
- Conversational AI/Chatbots for customer service
- Risk assessment
Software/Technology
- Most advanced in DevOps implementation (78%)
- Highest adoption of AI-powered testing and QA (67%)
- Greater investment in cloud-native development (82%)
- More likely to utilize multi-cloud strategies (38% vs. 6% overall)
- Leading in adopting microservices architectures (68% vs. 45% overall)
AI Use Cases In Software/Technology:
- AI-assisted coding
- QA Testing
- IT operations
Manufacturing
- Stronger focus on business process automation (68%) compared to other industries
- Higher adoption of edge computing technologies (42%) to support IoT applications
- Greater emphasis on supply chain optimization through AI (56%)
- 71% cited cost reduction as a primary goal for technology investments
- More likely to implement hybrid implementation models (58% vs. 52% overall)
AI Use Cases In Manufacturing:
- Supply chain management
- Inventory management
- Predictive maintenance
Healthcare
- Healthcare demonstrates the most extreme specialization pattern with cybersecurity (82%) dramatically outpacing all other technology investments.
- Read our Healthcare E-book for more
AI Use Cases In Healthcare:
- Generative AI for doctor-patient interactions
- Machine learning for medical research
- Predictive modeling for patient care
Hospitality
- Highest priority on customer experience enhancements (87%)
- Leading adoption of conversational AI/chatbots (74%)
- Stronger focus on mobile application development (63% vs. 27% overall)
- AI/chatbots for customer service (74%) than industry average
- More likely to utilize cloud solutions for operational efficiency
AI Use Cases In Hospitality:
- Conversational AI for guest service chatbots
- Dynamic pricing
- Personalized guest experiences
- RPA
The adoption and implementation of AI is becoming more and more crucial to business success. Organizations that fail to catch up to these evolving technologies risk falling behind their competitors. Are you interested in exploring how to best leverage AI for your business? Our team of experts can help you find the best solutions. Contact us today to get started.
Looking for a deeper dive on industry-specific implementation of AI technologies? Read our new report AI Use Cases By Industry: From Proof of Concept to Proven Results.
Learn more about AI Adoption. Founder and co-partner, Mansoor Anjarwala, discusses the evolution towards widespread AI adoption, its challenges, and the risks associated with failing to meet the AI moment:
