According to a new report, published by KBV research, The Global Composite AI Market size is expected to reach $8.5 billion by 2030, rising at a market growth of 36.9% CAGR during the forecast period.
The Data Processing segment is generating the highest revenue share in the Global Composite AI Market by Technique in 2022, achieving a market value of $2.9 billion by 2030. Raw data cleaning and preparation may be automated using composite AI. It may use natural language processing (NLP) to glean pertinent data, computer vision to examine photos, and machine learning algorithms to spot and fix data flaws or inconsistencies. Organizations may automate and simplify many elements of data management, increase data quality, extract priceless insights, and base more informed choices on the processed data by using composite AI in the data processing.
The Retail & eCommerce segment has shown a growth rate of 35.2% during (2023 - 2030). Through tailored shopping experiences, voice-enabled shopping assistants, robotic warehouse pickers, face recognition payment systems, and other innovations, artificial intelligence is revolutionizing retail and e-commerce. Massive volumes of data gleaned from consumer online activity are analyzed by businesses with the use of AI algorithms to provide "predictive sales" insights, which are utilized in part to ensure that warehouses are strategically well-stocked.
The Product Design & Development segment is leading the Global Composite AI Market by Application in 2022, achieving a market value of $3.0 billion by 2030. Applications for commercial product design and development are essential for putting composite AI solutions on the market. Product design and development applications provide tools and functionality to produce original ideas and concepts. These tools allow companies to investigate new product opportunities and pinpoint applications for composite AI.
The Hardware segment is showcasing a CAGR of 36.1% during (2023 - 2030). Infrastructure and hardware that enable the deployment and operation of composite AI systems are collectively called composite AI hardware. It entails using specialized hardware, processors, accelerators, and infrastructure configurations created to manage composite AI workloads' computational complexity and needs.
The North America market dominated the Global Composite AI Market by Region in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $3.2 billion by 2030. The Europe market is showcasing a CAGR of 36.6% during (2023 - 2030). Additionally, The Asia Pacific market would witness a CAGR of 37.8% during (2023 - 2030).
Full Report: https://www.kbvresearch.com/composite-ai-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, and Squirro AG
By Technique
By Vertical
By Application
By Offering
By Geography
Companies Profiled
Unique Offerings 
