Latest Reports

• European IT Spending and Staffing Benchmarks 2024/2025: Chapter 3A: Benchmarks by Organization Size

  In these chapters, we provide a complete set of benchmarks for organizations within the specified size classification. Small organizations benchmarks are in Chapter 3A, midsize organizations in Chapter 3B, large organizations in Chapter 3C, and very large organizations in Chapter 3D. These chapters use a three-year sample. There are 98 respondents in the small organization sample, 102 in the midsize sample, 65 in the large sample, and 40 in the very large sample.

  October, 2024

• European IT Spending and Staffing Benchmarks 2024/2025: Chapter 2: Composite Benchmarks

  This chapter provides composite metrics for all survey respondents across all sectors and organization sizes. The sample includes 154 organizations and is stratified by size and sector as described in the survey methodology section. Respondents must have at least €50 million in annual revenue or IT spending greater than €1 million and maintain at least some operations in Europe. There is no upper limit on the size of survey respondents.

  October, 2024

• European IT Spending and Staffing Benchmarks 2024/2025: Chapter 1: Executive Summary

  Chapter 1 provides an overview of the key findings from the full study and describes the contents of the subsequent chapters. It also includes information on the study participants and the survey methodology.

  October, 2024

• Optimizing Power Consumption in Data Centers in the age of AI

  As companies increasingly repatriate their data centers, optimizing power consumption has become a crucial priority for enterprise buyers. This shift offers opportunities for improved operational efficiency while also presenting challenges related to energy management, sustainability, and resource utilization. The demand for power in data centers, is further augmented by the rising energy needs of high-performance chips. This exponential data growth and increased compute power requirements are further stressing the existing power infrastructure. As the use of large data becomes more widespread, optimizing power within datacenters will become crucial to the enterprise spend and operational efficiency.

  October, 2024

• IFS Boosts Its Offerings in the Unsung Hero of AI: Industrial AI

  IFS is highlighting the power of industrial AI, a specialized form of AI that optimizes industrial processes, at its recent conference. Unlike generative AI, industrial AI focuses on sectors like energy, manufacturing, and infrastructure. IFS.ai, the company’s platform, plays a key role in improving efficiency, safety, and sustainability by integrating AI into its enterprise solutions. It supports advanced robotics, predictive safety, AR maintenance, and supply chain management, helping industries like energy distribution, aviation, and package delivery run smoothly.

  October, 2024

• Clinical Data Management Business Process Transformation 2024–2025 Market Insights™

  The Clinical Data Management Business Process Transformation 2024–2025 Market Insights assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any clinical data management transformation project. The report also highlights the evolution of the clinical data management functions and emerging priorities of healthcare organizations.

  October, 2024

• Leveraging AI-/ML-based Solutions and Partnerships with CROs to Deliver Patient-centric Trials across Multiple Countries

  The global life sciences industry is facing increasing challenges due to economic uncertainties, rising drug development costs, and a focus on patient-centric engagement. To address these challenges, organizations are partnering with CROs, KPOs, and BPOs to access specialized expertise, expedite time to market, and enhance data management capabilities. There is a growing trend toward decentralized and hybrid clinical trial models to improve patient recruitment and retention while also expanding clinical trials globally for inclusivity. However, organizations continue to face challenges such as finding suitable participants, adapting to changing regulations, safeguarding patient data, and adopting new technologies. Both demand- and supply-side trends are covered in Avasant’s Clinical Data Management Business Process Transformation 2024–2025 Market Insights™ and Clinical Data Management Business Process Transformation 2024–2025 RadarView™, respectively.

  October, 2024

• Clinical Data Management Business Process Transformation 2024–2025 RadarView™

  The Clinical Data Management Business Process Transformation 2024–2025 RadarView™ assists organizations in identifying strategic partners for clinical data management business process transformation by offering detailed capabilities and experience analyses for service providers. It provides a 360-degree view of key clinical data management business process transformation service providers across practice maturity, domain ecosystem, and investments and innovation, thereby supporting enterprises in identifying the right service partner. The 61-page report highlights top supply-side trends in the clinical data management and clinical trials space and Avasant’s viewpoint on them.

  October, 2024

• The Rise of Agentic AI: Salesforce Leads the Charge with Agentforce

  The market for enterprise-ready, generative AI-driven CRM solutions is rapidly transforming with the emergence of agentic AI. This evolution, from predictive bots to responsive copilots, has culminated in agents that not only generate responses but also take action. At Dreamforce 2024, Salesforce introduced Agentforce, an autonomous AI agent that automates every customer interaction and integrates seamlessly across platforms such as Slack, offering an upgrade over Einstein Copilot. While Salesforce currently leads the way in agentic AI, competitors are swiftly closing the gap. As Gen AI rapidly evolves, enterprises stand to gain from the innovations and advancements made by leading platform vendors.

  October, 2024

• Divestment: A Strategic Tool for Portfolio Optimization

  In today’s dynamic business landscape, divestment – the strategic sale of assets, subsidiaries, or business units – has become an increasingly utilized tool for companies seeking to optimize their portfolios and achieve specific strategic objectives. By divesting non-core assets, companies can sharpen their focus on core competencies, leading to a cascade of benefits: streamlined structures, reduced complexities, and better resource allocation. These benefits contribute to improved operational efficiency, often resulting in significant profitability gains within a few years post-divestment.

  October, 2024

• Generative AI Services 2024 Market Insights™

  The Generative AI Services 2024 Market Insights assists organizations in identifying important demand-side trends that are expected to have a long-term impact on their Gen AI projects. The report also highlights the key challenges enterprises face today in this space.

  October, 2024

• Gen AI Services: Service Providers’ Next Big Bet on Transforming the Future

  Enterprises are directing over 40% of their AI budget toward scaling generative AI (Gen AI) deployments. To achieve this, they are primarily collaborating with cloud platforms and service providers to leverage their expertise in Gen AI workflow orchestration, industry- and domain-specific customizations, and responsible AI integration. At the same time, startups are emerging to support enterprises through niche solutions around LLMOps, emotional intelligence, and voice cloning. Both demand- and supply-side trends are covered in Avasant’s Generative AI Services 2024 Market Insights™ and Generative AI Services 2024 RadarView™, respectively.

  October, 2024