Telecom operators face rising complexities from large-scale, always-on networks, rapid 5G expansion, hybrid infrastructures, and increasing customer expectations for zero downtime. Traditional tools such as ticketing and network management systems and siloed dashboards, while providing visibility, lag in agility and autonomy. This leads to frequent manual escalations, monitoring silos, and slower incident response, making this approach increasingly unsustainable over time. Systems of Execution (SoE) offer a powerful shift by autonomously detecting issues, making decisions, and acting in real time. For telecom, this translates to intelligent anomaly detection, predictive maintenance, and self-healing networks, bringing a proactive approach to operations. By fusing AI-driven diagnostics, dynamic orchestration, and automation across the network, SoE minimize downtime, speed up resolution, and improve resource use. The payoff: stronger SLA performance, lower costs, and higher customer satisfaction. This Viewpoint unpacks how SoE are revolutionizing telecom operations, highlighting their unique architecture and value. It also provides a practical adoption roadmap for CIOs to drive transformation at scale.

Smart manufacturing, the cornerstone of Industry 4.0, empowers factories to think, adapt, and act autonomously. Yet, most enterprises remain stuck in a loop of fragmented insights, rigid automation, and siloed systems. Systems of Execution (SoE) offer the missing operational layer that transforms smart manufacturing from a digital aspiration into an autonomous reality. Unlike traditional Systems of Record, such as Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES), or Systems of Engagement, such as mobile dashboards and human-machine interfaces, SoE activate real-time intelligence. They autonomously orchestrate decisions and adapt workflows across the factory ecosystem, resulting in predictive, agile, and resilient manufacturing operations. This Viewpoint explores SoE’s strategic necessity in smart manufacturing and offers a blueprint for manufacturing leaders to build adaptive, intelligent, and hyper-efficient production environments. Scope Industry: manufacturing Geography: global Content In this report, we: Define SoE in the manufacturing context Identify traditional manufacturing system limitations Examine the business case for SoE in smart manufacturing Recommend a roadmap to execute the SoE vision Memberships Engineering Research and Development Sourcing and Vendor Management

Watch Everest Group experts Yugal Joshi, Partner, Alisha Mittal, Vice President, Mukesh Ranjan, Vice President, and Akshat Vaid, Partner, for an exciting webinar that will redefine how you view the future of the engineering and IT technology space. Get ready for a deep dive into the transformative trends due to shape engineering and IT services in 2025. From the unstoppable rise of AI to breakthrough innovations on the horizon, our panel will deliver powerful insights into what’s next for the industry and how you can take advantage of this pivotal moment. Expect engaging discussions, bold predictions, and data-driven insights designed to empower enterprises and service providers to navigate this key era. This is your chance to learn how to leverage technology trends, outpace the competition, and thrive in a rapidly evolving landscape. Don’t miss this high-impact session—your roadmap to 2025 starts here. What questions did the webinar answer? As a services provider, which areas should you invest in during 2025 for strategic growth? As an enterprise, what should you look for in outsourcing partners in 2025?

In the product engineering domain, software remains the largest expenditure, growing despite economic slowdowns, geopolitical tensions, and talent shortages. Key drivers include a shift toward platform-based business models, increased adoption of AI- / gen AI-augmented secure products, a focus on sustainability, and improved customer and developer experiences. Enterprises now seek strategic partners that can offer not just engineering talent, but also cost savings, speed, and innovation. In this report, we delve into the Software Product Engineering Services (SPES) market, analyzing its size, growth dynamics, and outsourcing trends across key verticals. The report sheds light on SPES spending patterns, growth rates, and the tailwinds and headwinds shaping its trajectory. Additionally, it provides insights into the future growth outlook, emerging themes, and their implications for providers, helping them navigate the evolving landscape and capitalize on new opportunities. Scope Industry: SPES Geography: global Contents In this report, we examine: SPES market size, growth, spending, and growth rate across verticals Tailwinds and headwinds to future growth SPES outsourcing market size, growth, and trends across verticals Growth outlook for SPES and prominent themes Implications for providers Membership(s) Software Product Engineering Services Sourcing and Vendor Management

The growing demand for personalization and the integration of software into traditional engineering products have driven the rise of connected products. These products evolve by incorporating technologies that make them smart, connected, and autonomous, enabling greater transparency, operational efficiency, and robustness across industries. Key technologies such as IoT, AI/ML, AR/VR, 5G, and data analytics are attracting significant investments as enterprises strengthen their digital portfolios. Most companies are at varying digital adoption stages, ranging from isolated applications to large-scale deployments. As the connected product market rapidly evolves and remains highly competitive, enterprises must continuously innovate and accelerate time-to-market. Many collaborate with partners to access niche skills and reduce costs while globally diversifying their value chains. In this report, we assess the connected product engineering market, identify key technology and business trends impacting the market, and study the challenges and opportunities that lie ahead. The report also examines how providers align with customer requirements and enhance their capabilities to become partners of choice in connected product engineering. Scope Industry: engineering services Geography: global Contents In this report, we examine: Enterprise research and development spending on connected product engineering, growth drivers and use cases by verticals, business and technology growth drivers, and enterprise maturity levels Key trends and investment themes influencing spending, such as platforms for connected devices, talent demand, and generative AI integration with connected products The outsourcing landscape, assessing the growth of connected product engineering services and how providers are adapting to meet market demands Membership(s) Engineering Research and Development Sourcing and Vendor Management

The automotive industry is significantly transitioning due to shifting consumer expectations. Vehicles are evolving from being mere utilities to offering connected features, advanced safety, and personalized experiences. This shift has driven OEMs to rethink their approach to vehicle engineering and revenue channels and led to the emergence of Software-defined Vehicles (SDVs), where software acts as the vehicle's central control unit, controlling functionalities, analyzing data, and providing an enriched user experience. While OEMs are making strong inroads in capitalizing on the demand drivers and introducing SDV features, developing SDVs is a daunting task faced with challenges such as software development complexity, dynamic regulatory environment, and research and development ramp-up and monetization. All these challenges can lead OEMs to stray away from their course of action, incur cost overruns, and improperly prioritize applications from a monetization standpoint. In this viewpoint, we provide an overview of the North American SDV market and propose a framework that OEMs can utilize to assess their success in navigating these challenges, building SDV competencies, and monetizing their offerings. The framework will help them understand their current state of maturity and identify areas that they need to actively focus on. Scope Industry: automotive Geography: North America Contents In this viewpoint, we: Define SDVs and how they differ from traditional vehicles Give an overview of the North American SDV market dynamics Explain the challenges faced by OEMs in developing SDVs Provide a framework on how OEMs can assess their maturity in developing SDVs and driving market success Role of providers in supporting OEMs in their SDV journey Memberships Engineering Research and Development Sourcing and Vendor Management

Gen AI’s emergence marks a significant milestone in technology, enabling machine capabilities to emulate human intelligence and creativity. Its transformative potential and close relationship with Large Language Models (LLMs) are encouraging individuals and enterprises to reimagine decision-making processes and content creation strategies. Gen AI also offers promising opportunities for enterprises seeking to expand their operations beyond traditional AI and Robotic Process Automation (RPA). Hence, technology providers are introducing an array of related tools and LLMs. However, amid this excitement, enterprises may rush to adopt gen AI without carefully considering its benefits and the necessary investments. Previous technology waves indicate that such initiatives often conclude unfavorably, failing to deliver tangible business value. To navigate this landscape effectively, enterprises should compare the advantages of gen AI against alternative solutions, carefully select LLMs, optimize them for maximum business impact, and choose appropriate deployment models. By doing so, they can unlock the full potential of gen AI while mitigating risks and maximizing returns. Through strategic planning and thoughtful execution, enterprises can seize new opportunities and drive innovation in this era of gen AI. In this report, we offer practical advice to businesses, highlighting key areas where gen AI can outperform traditional AI and RPA. The report also advises on selecting the appropriate LLMs tailored to specific requirements and provides strategies for enhancing LLM performance to achieve tangible business benefits. Additionally, it discusses considerations for determining the optimal deployment model for LLMs, aiding enterprises in maximizing the value derived from their gen AI initiatives. Scope All industries and geographies Contents In this viewpoint, we examine: Gen AI’s significant benefits over AI and RPA Key factors to consider when selecting an LLM Strategies for optimizing and fine-tuning LLMs to realize business value Considerations for choosing the most suitable deployment model for LLMs Membership(s) Engineering Research and Development Software Product Engineering Services Sourcing and Vendor Management  

As we step into 2024, global macroeconomic stability is shrouded in great uncertainty. Ongoing macroeconomic events, trade wars, and an economic slowdown are impacting businesses worldwide, compelling them to approach business growth in the upcoming year with caution. Most organizations are striving to minimize cost/price pressures in response to growing inflationary trends. While the demand and supply gap for conventional engineering skills has eased, new advances in AI have once again resulted in a scarcity of skilled talent. More importantly, there is a shift caused by multiple industries looking to explore and implement generative AI across their value chain, signaling a substantial change in traditional talent requirements. Today, the challenge lies in navigating these uncertain times while addressing the talent gap. This report offers insights into how leading global enterprises have been impacted in 2023 and outlines their strategies for fostering innovation with resilience in these uncertain times. Scope All industries and geographies Services: engineering Contents In this report, we examine: Identify top business challenges and vital business model changes in 2024 Study the outlook and priorities for 2024 Explore key themes that define the enterprise software industry Examine changes to provider portfolios and key provider-related challenges and priorities Membership(s) Engineering Research and Development Software Product Engineering Services Outsourcing Excellence

The automotive industry stands at an inflection point where global sustainability concerns, increasing consumer demands, and rapid technological advances are propelling rapid growth. In this dynamic landscape, the focus is shifting from conventional mobility solutions to creating a more captivating and immersive automotive experience. Automotive enterprises are eagerly embracing this transformative paradigm, as they strive to enhance customer experience and redefine the future of mobility. Major areas of investment include advancing autonomous technologies (L3 to L5 autonomy), fostering connected ecosystems through collaborations with various sectors, increasing investments and partnerships with technology participants for software-defined vehicles, and investing in electric, hybrid, and fuel cell technologies to address environmental concerns. This compendium provides comprehensive and fact-based snapshots of 26 ACES (Autonomous, Connected, Electric, and Shared) automotive engineering services providers featured in the fourth edition of Everest Group’s ACES Automotive Engineering PEAK Matrix® Assessment. Each profile provides a comprehensive picture of the provider’s ACES automotive engineering services, key solutions offered, strategic partnerships and investments, performance in the market, and customer case studies. The report also presents our insights on enterprise sourcing considerations for each provider. Scope Industry: automotive  Geography: global  Contents  In this report, we provide:  ACES Automotive Engineering Services PEAK Matrix® 2023 Key characteristics of Leaders, Major Contenders, and Aspirants A summary dashboard capturing the relative assessment of providers’ vision and capabilities and market impact  Providers’ strengths and limitations Membership(s) Engineering Research and Development Sourcing and Vendor Management

Enterprises and service providers in the aerospace and defense sector are undergoing significant transformations, aligning themselves with emerging technologies and addressing the dynamic challenges in the industry. The industry is broadly divided into three segments – commercial aviation Business Units (BUs), defense, space, and security serving units, and the services BUs. Each BU has its own business priorities laid out, which then translate into engineering priorities. The report provides an overview of each BU’s actionable and associated use cases merging with an overall view of the A&D engineering resilience, followed by the top enterprise spenders in the space. Our study provides a detailed view of the key investment priorities, while highlighting each enterprise’s degree of strategic focus in the respective technology-cum-spend area. For each of the spend areas focused, relevant, and the latest use cases are provided to ensure 100% coverage of the ongoing work while delineating new business opportunities for the enterprises and service providers. A section is dedicated to the outsourcing market, which covers the market overview – size, outsourced services, key delivery locations, investments, and partnerships. Scope Geographies: all geographies Services: aerospace and defense engineering services Contents The study is divided into the following three sections: Market spending overview: provides one-to-one mapping of business and engineering priorities across business units, enterprise spend trend, top spenders, and spend intensity Evolving trends for key investment priorities: details investment drivers and their use cases with associated impact and implementation challenges Outsourcing landscape: includes spend analysis, areas of engagement, delivery presence and competitive investments from service providers Membership (s) Engineering Research and Development Sourcing and Vendor Management