Latest Reports
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Rethinking Global Payroll: The Move from Automation to Intelligence
As payroll evolves from a traditional back-office function into a strategic driver of business efficiency, the need for predictive rather than reactive payroll solutions becomes paramount. This whitepaper delves into the Neeyamo N’gage event in Bengaluru, which brought together global payroll leaders, HR executives, and industry analysts. Neeyamo showcased its approach to hyperlocal compliance, AI-driven automation, and end-to-end payroll orchestration. Key innovations presented at the event included Neeyamo NXT, an AI-driven payroll engine, and ScreenXchange, a decentralized background screening platform. The event showcased Neeyamo’s vision for autonomous payroll processing and real-time compliance.
April, 2025
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Tech-Enabled Sustainability Services 2025 RadarView™
This RadarView helps enterprises craft a robust strategy based on industry outlook, best practices, and digital transformation in the tech-enabled sustainability services domain. It begins with a summary of key trends shaping the supply side of the market. It continues with a detailed assessment of 20 providers offering digital services in tech-enabled sustainability services. Each profile gives an overview of the service provider, its industry-specific solutions, and a list of representative clients and partnerships, along with brief client case studies. Each profile concludes with analyst insights on the provider’s practice maturity, investments and innovation, and partner ecosystem.
April, 2025
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Empowering Sustainable Transformation with Generative AI and Digital Technologies
Tech-enabled sustainability services are advancing with AI-driven automation and intelligent insights to boost operational efficiency and customer experience. Enterprises are utilizing generative AI, cloud, and data analytics to streamline sustainability efforts, optimize resource use, and ensure regulatory compliance while enhancing transparency and customer trust. Businesses are integrating AI, IoT, and digital twins to improve supply chains to drive circular economy initiatives and increase efficiency. Intelligent energy management solutions are also being deployed across IT and operations to optimize power consumption, increase efficiency, and reduce environmental impact. Additionally, predictive analytics is being leveraged to improve resource planning, minimize waste, and strengthen sustainability performance. Furthermore, to address the climate tech skills gap, enterprises are adopting AI-driven learning modules to train employees in net-zero strategies, energy efficiency, and digital sustainability leadership.
April, 2025
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Tech-Enabled Sustainability Services 2025 Market Insights™
This report identifies key demand-side trends in the tech-enabled sustainability services space to assist enterprises in their tech-enabled sustainability transformation journey. It also provides an overview of enterprise challenges in this space based on Avasant’s assessment.
April, 2025
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Large Language Model Operations Platforms: Operationalizing and Scaling Gen AI Application Deployments
The AI operations management landscape has evolved beyond machine learning to large language model operations (LLMOps), driven by enterprise adoption of generative AI and government mandates for responsible AI. LLMOps platforms enhance efficiency through real-time local AI inference, data localization compliance, and improved infrastructure visibility with dynamic workload scaling. To further support Gen AI scalability, platform vendors are integrating cognitive features such as real-time anomaly detection for monitoring model performance and data drift, no-code/low-code development studios, and GPU splitting for optimized resource allocation.
March, 2025
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Large Language Model Operations Platforms 2024–2025 Market Insights™
This report identifies key demand-side trends in the large language model operations space, helping enterprises improve their AI operations management capabilities. It provides an overview of key observations and business challenges that Avasant considers important to highlight in this space.
March, 2025
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Large Language Model Operations Platforms 2024–2025 RadarView™
This RadarView addresses the need for enterprises to adopt large language model operations (LLMOps) platforms to augment generative AI operations management in business workflows. It begins with a summary of key trends shaping the supply side of the market. It continues with a detailed assessment of 12 vendors delivering LLMOps platforms. Each profile gives an overview of the platform provider, its key IPs and assets, and a list of major clients and partnerships, along with brief client case studies. Each profile concludes with analyst insights on the provider’s platform maturity, partner ecosystem, and investments and innovation.
March, 2025
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Navigating the Next Wave of High-Tech Transformation
High-tech enterprises are keeping pace with industry shifts by innovating around chip efficiency and sustainable manufacturing, especially for high-performance computing and electric vehicles. They are scaling generative AI through leaner models and adopting governance frameworks to ensure its secure and responsible use. Advances in connectivity are further enabling greater automation and edge intelligence. Additionally, high-tech enterprises are moving from traditional hardware sales to subscription-based and product-as-a-service models to drive recurring revenue. To safeguard this increasingly digital ecosystem, they are deploying AI-powered cybersecurity solutions to detect and mitigate evolving threats in real time. High-tech companies collaborate with service providers for this digital transformation, which requires strong technological expertise and delivery capabilities. Both demand-side and supply-side trends are covered in our High-Tech Industry Digital Services 2024–2025 Market Insights™ and High-Tech Industry Digital Services 2024–2025 RadarView™, respectively.
March, 2025
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AR/VR/XR Services 2025 Market Insights™
The AR/VR/XR Services 2025 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any AR/VR/XR project. The report also highlights key challenges that enterprises face today.
March, 2025