Today, we’re exploring the “2024 AI Native Application Ecosystem Whitepaper” brought to you by Baidu Intelligent Cloud.
Generative AI Paves New Commercial Avenues, Enhancing Experiences and Spawning Novel Service Models
In this new era where intelligent digitalization is a priority, generative AI has carved a fresh commercial path laden with endless possibilities due to its rapid iterative capabilities. This technology significantly enhances user experience for individuals and businesses, bringing efficiency and precision to content creation and personalized services. Furthermore, it plays a critical role in optimizing production processes and cultivating new business opportunities such as AI training and educational programs. It empowers businesses to seize strategic advantages in global competition, unlocking immense market potential and economic benefits. IDC predicts that by 2027, the global generative AI market will reach $145.4 billion, with the market in China growing to $12.9 billion, boasting an annual compound growth rate of 55.1% from 2023 to 2027.
Generative AI’s Value and Challenges Coexist; Constructing or Joining an AI Native Application Ecosystem Is a Strategic Imperative for Enterprises
As generative AI technology bestows significant efficiency improvements and the capacity for business value creation upon enterprises, it also introduces a range of challenges and risks. These include high demands for advanced computing resources, increasing complexity in model deployment and optimization, stringent data management requirements, difficulty in ensuring thorough security measures, and a lack of persistent adaptability to keep pace with technological innovations. To address these issues and ensure more robust integration and collaborative growth of AI with the real economy, the industry is actively fostering a transformation from isolated AI native applications to robust, complete AI native application ecosystems. IDC points out that at the core of this ecosystem lies the pivot of large AI models. By developing and deploying various AI native applications, the ecosystem connects partners along the supply chain, creates new service models, and explores and realizes business potential collectively. The ecosystem encompasses builders, key innovators, and participants from various industries. As market demands and environments change, the functions and technological requirements of all roles within it are continuously elevated.
The ecosystem builder must be open and inclusive, constructing a path of collaborative prosperity with partners: The ecosystem builder plays a central role, and in the age of generative AI, a more open and inclusive stance is required. This encourages a tight synergy among partners and customers, leverages core strengths, and collectively forges ahead to foster growth and prosperity of the AI native application ecosystem.
Key co-creators of the ecosystem must reflect on positioning and deepen cooperation to drive innovation in AI applications: Key co-creators are vital partners within the ecosystem. Their role should extend beyond mere “information relay” to a strategic contemplation and innovation. Through in-depth collaboration and resource sharing with other partners in the ecosystem, combined efforts can promote the expansion and technological advancement in the realm of AI native applications, aiming for a mutually beneficial, long-term development.
Role Integration Fuels a Diverse Ecosystem; Deep Collaboration Drives Extensive AI Application
As AI native application technology rapidly evolves and expands, the roles within the ecosystem are increasingly intersecting and integrating. This trend indicates that different participants will engage more closely and integratively in terms of functions and responsibilities. Such a process is essential for shaping a multi-dimensional, innovation-rich ecosystem. This dynamic blending of roles not only enhances the ecosystem’s diversity and capacity for innovation but also powerfully catalyzes in-depth collaboration and the establishment of resource-sharing mechanisms among stakeholders, providing a strong impetus for the widespread adoption of AI native applications.
Against the backdrop of an intelligent digital era, IDC introduces for the first time an AI Native Application Ecosystem Assessment Framework, comprehensively evaluating the overall strength of ecosystem builders within the AI native application ecosystem
The framework encompasses indicators such as market performance, platform capability, support services, commercialization potential, and community development. Based on this framework, IDC has assessed the comprehensive strength of AI native application ecosystem builders in the Chinese market. The assessment reveals that while overall industry platform capability and market performance are acceptable, there is still room for improvement in aspects such as business monetization. In facing challenges and difficulties, continuous efforts are required to effectively bridge the gap from technical theory to commercial value.
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