White Paper: Top 10 Trends of the AIGC Application in 2024- IDC & DingTalk
Recently, IDC, an internationally renowned consulting organization, and DingTalk released the White Paper: Top 10 Trends of the AIGC Application in 2024. With the development of AIGC (AI Generated Content) technology, intelligent applications will show explosive growth. Big models and AIGC are the current hot topics in the development of the global digital economy, and they are also important core technologies for artificial intelligence. Various types of large technology companies and innovative companies have launched an investment race.
According to the statistics of the Ministry of Industry and Information Technology , from January to October 2023, the revenue of software product amounted to 2,317.7 billion yuan, a year-on-year increase of 11.4%, accounting for 23.6% of the proportion of industry-wide revenue.
Revenue of information technology grew steadily, with income of 6,495.5 billion yuan, up 14.9% year-on-year, accounting for 66.2% of the industry-wide revenue. Among them, cloud computing and big data realized a total income of RMB992.7 billion, up 14.8% year-on-year, accounting for 15.3% of the income of information technology, and the revenue of integrated circuit design was RMB248.4 billion, up 5.8% year-on-year. (FROM:运行监测协调局)
IDC predicts that more than 500 million new applications will emerge globally by 2024, which is equivalent to the total number of applications that have appeared in the past 40 years.
The top 10 trends for AIGC Application in 2024 are:
Trend 1: The innovation becomes a definite direction for the development of AIGC industry in 2024
The application layer innovation around AIGC will accomplish a large number of future innovative enterprises. The powerful general intelligence possessed by the big model is showing great power of industry change, which makes AIGC manifest the "power multiplier" effect in different application fields.
According to a survey of global companies focusing on GENAI conducted by IDC, knowledge management scenarios are the most popular application by using AIGC, and AIGC also shows great potential in search, maps, digital people, intelligent conversations, recommendations, and business process optimization scenarios.
Trend 2: Big model is transformed to a effective mean
AIGC is being instrumentalized, research by IDC shows that the enterprises intend to realize the achievement by AIGC: improving customer experience, increasing developer productivity, realizing differentiated competitive advantages, and innovating business models. Business model innovation, etc.
According to IDC's research, the business benefits that enterprises are most interested in realizing through AIGC include: improved customer experience/service, increased developer productivity, differentiated competitive advantage, and innovative business models.
IDC predicts that by 2026, GenAI will take on 42% of traditional marketing chores such as optimization of search engine , content and website, customer data analytics and segmentation, lead scoring and hyper-personalization.
Trend 3: Exclusive, self-built models will emerge in medium and large enterprises
Proprietary Big model will become the enterprise's "strongest brain", enterprises also need to continue to build their own talent.
Trend 4: Multimodal Large Language Models(MLLM) is shaping "polygonal warrior" applications
Multimodal Large Language Models is an important direction of the current large model training and development, to enhance the richness and comprehensiveness of information in intelligent applications.
The learning ability of Multimodal Large Language Models is stronger, and their perspective of analyzing and processing problems is more comprehensive. In some typical AI applications, multimodal macromodels show strong interactivity, which can help developers and end-users precisely understand the contextual associations and implicit information of the input information.
While practicing, MLLM can continuously strengthen the reasoning ability, expand the service boundary, and enhance the comprehensiveness and reliability in application scenarios through the strong perception of multi-dimensional information.
Trend 5: AI Agent is the mainstream form to implementing large model business
Al Agent makes "human&computer collaboration" become the new normal, helping individuals and businesses enter the era of AI assistants.
In the process of meeting the needs of enterprise intelligence, AI Agent, as an ideal product, is undertaking the increasingly complex needs for quality and efficiency; at the same time, by strengthening internal and external synergies, it can release the core productivity of the organization, and fight against the challenges brought by the increasing number of organization.
Trend 6: AIGC Accelerates the Formation of Super Portal
Natural language interaction will replace part of the traditional graphical interaction "no application" concept will reshape the application form. AIGC reshape the application form of the process will focus on two aspects:
Firstly, the intelligent transformation and upgrading of existing software to increase the interactivity and cognitive ability of important links in the form of APIs.
The second is to reconstruct the application architecture and mode of software. The concept of "NOAPP" will be reflected in a large number of future applications.
Trend 7: The process of Business is transformed to "Senseless Intelligence"
AIGC allows SaaS (Software-as-a-Service) products to become more fragmented.
AIGC bring intelligent innovation to the business, on the one hand,activating new demand, resulting in scale restructuring effect; on the other hand, it may also allow the traditional industry for many years of unchanging business rules to transform into a continuous selection of generation posture. Atomized AI capabilities will be a fine-grained approach to the role of many aspects of the business process, in the form of "senseless intelligence", become an essential part of business operations.
Trend 8: Applications are transformed from cloud-native to AI-native
Applications are shifting from "+AI" to "AI+", and AI-defined products and scenarios have become the new paradigm. Today, big models and AIGC drivers are redefining infrastructure, and A-native design thinking is seeping into the application development process across industries, forming a new paradigm for software development.
IDC's research shows:Enterprises believe that AI native will bring a series of changes, including changes in technology, changes in the tool chain, changes in infrastructure, changes in the development process, changes in security policies, changes in design concepts, and changes at the organizational level.
Trend 9: AIGC gradually becomes more common and favorable
AIGC technology can help application developers accumulate advantageous resources and promote innovative enterprises to realize the commercial realization of AIGC.
The innovation of business will also bring the opportunity of rapid promotion to AIGC applications, and the huge commercial future and rapid iterative technology can continue to reduce the cost of AIGC, forming a benign market competition pattern, and ultimately bring the benefit to small and medium-sized enterprises and the general public.
Trend 10: Intelligent emergence is a double-edged sword
AIGC, as an emerging technology, still has its strong double-sided, and while it promotes the development of AI, there are many predictable and unforeseen risks, such as privacy protection, results out of control, digital leakage, etc., are the most worrying issues.
