Deep dives and data on the themes that matter
Infosys Bank Tech Index – Volume 1
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
2024 Consumer Packaged Goods Industry Outlook
To thrive in today’s market, CPG companies need to prioritize innovation, keep an eye on consumer preferences, and adjust their product lines.
Cloud Radar: Healthcare Industry Report
The study found that healthcare companies depend on cloud for sophisticated solutions, growth, and transformation. They use cloud most frequently for electronic health records and medical care management systems.
Agrochemical Industry Outlook 2024
Agricultural chemicals and the associated businesses and services (agrochem) will play a key role in improving crop yields and ensuring global food security.
Infosys Bank Tech Index Volume 3 - August 2024
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Life Sciences: Trends for the Future
Explore the seven trends intersecting digital technologies and life sciences that will enable leaders to harness rapid change and deliver breakthroughs for life.
Tech Navigator: Building the AI-First Organization
For firms to leapfrog into the AI era, they need to build their organization on four key pillars – reimagining experience and process, AI engineering excellence, responsible AI by design, and AI operating model.
Infosys Bank Tech Index Volume 2 - May 2024
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Generative AI Radar – Telecommunications
This study uncovers how companies use generative AI, how much they spend on it, how it’s being rolled out in organizations large and small, and where it makes an impact in the telecommunication industry
Generative AI Radar – High tech
This study uncovers how companies use generative AI, how much they spend on it, how it’s being rolled out in organizations large and small, and where it makes an impact in the high tech industry.
Cloud Radar: CPG and Retail Industry Report
CPG and retail businesses can get the most out of cloud adoption if they embed the right business case, master monitoring and prediction, and opt for a value-centric cloud operating model.
Generative AI Radar – Manufacturing
Spending on generative AI by the Manufacturing industry is set to grow by 103% in 2024 from $1 billion spent in 2023.
Generative AI Radar – Financial Services
Spending on generative AI by the Financial Services industry is set to grow by 164% in 2024 from the $1 billion spent in 2023.
Generative AI Radar – Life sciences
Spending on generative AI by the Life sciences industry is set to grow 36% in 2024 from the $470 million spent in 2023.
Cloud Radar: Manufacturing Industry Report
Cloud computing has moved up the value chain for innovation and new product value development.
Infosys Bank Tech Index – Volume 1
A quarterly report surveying the largest banks globally to benchmark their key technology priorities, performances, spend, and talent changes.
Our research shows that APAC firms spent $1.4 billion in 2023, and that is set to grow by more than 140% to $3.4 billion in 2024.
Our research estimate that European companies are expected to spend $2.8 billion in 2024 on Generative AI initiatives – an increase of 115% compared to an estimated $1.3 billion in 2023.
Generative AI Radar 2023 – North America
Our research shows that businesses in the US and Canada are committing significant investment in generative AI because they see it as a driver of growth.
Data+AI Radar - Financial Services Industry
This is a major study that provides a comprehensive, six-point approach that can improve the financial industry's adoption of AI.
Cloud has become a business imperative, and companies risk losing the benefits of this new era of cloud unless they take a new approach to managing it.
Tech Navigator: Building the AI-First Organization
For firms to leapfrog into the AI era, they need to build their organization on four key pillars – reimagining experience and process, AI engineering excellence, responsible AI by design, and AI operating model.