Latest Reports

  • Image - Rethinking Global Payroll: The Move from Automation to Intelligence

    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

  • Tech Enabled Sustainability Services badge - Tech-Enabled Sustainability Services 2025 RadarView™

    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

  • Picture1 1 - Empowering Sustainable Transformation with Generative AI and Digital Technologies

    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

  • iStock 2148112242 - Tech-Enabled Sustainability Services 2025 Market Insights™

    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

  • Cover for Apps dec 2024 1 - IT and Apps Managed Services Provider Trends: Quarterly Report for CQ4 2024

    IT and Apps Managed Services Provider Trends: Quarterly Report for CQ4 2024

    In this quarterly report (calendar quarter 4, 2024), Avasant provides key information on IT and apps managed services provider trends. The report covers key information on the IT services industry and the provider ecosystem. It covers the service provider facts and figures (including revenue and resource trends) and executive sentiment from the service provider community. The report covers trends across a gamut of IT services, including but not limited to IT infrastructure, application, and end-user services. The geographic coverage for the report is global. It builds on insights gathered through ongoing market research, data collection, and proprietary databases. It includes market data from providers accessed through multiple sources such as public disclosures, market interactions, and deals data.

    March, 2025

  • Picture1 4 - Large Language Model Operations Platforms: Operationalizing and Scaling Gen AI Application Deployments

    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

  • iStock 2149059417 - Large Language Model Operations Platforms 2024–2025 Market Insights™

    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

  • llm content - Large Language Model Operations Platforms 2024–2025 RadarView™

    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

  • hightech MI - High-Tech Industry Digital Services 2024-2025 Market Insights™

    High-Tech Industry Digital Services 2024-2025 Market Insights™

    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. The High-Tech Industry Digital Services 2024-2025 Market Insights™ helps enterprises in this sector identify important market trends and challenges for any digital project they participate in.

    March, 2025

  • money - Navigating the Next Wave of High-Tech Transformation

    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

  • Picture5 - High-Tech Industry Digital Services 2024-2025 RadarView™

    High-Tech Industry Digital Services 2024-2025 RadarView™

    The High-Tech Industry Digital Services 2024-2025 RadarView™ can help high-tech enterprises craft a robust strategy based on industry outlook, best practices, and digital transformation. The report can also aid these enterprises in identifying the right partners and service providers to accelerate their digital transformation in this space. The 89-page report also highlights top market trends in the high-tech industry and Avasant’s viewpoint.

    March, 2025

  • ARVRXR Services 2025 Market Insights content image - AR/VR/XR Services 2025 Market Insights™

    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