Dublin, June 12, 2023 /PRNewswire/ — “The Combined AI Market by Offerings (Software, Hardware, Services), Technologies (Data Processing, Pattern Recognition), Applications (Product Design and Development, Customer Service), Verticals and Regions – By 2028 has been added to the global forecast report for of ResearchAndMarkets.com Recruitment.
Composite AI market $900 million by 2023 $4.4 billion By 2028, it will grow at a CAGR of 36.5% during the forecast period.
The proliferation of digital devices, sensors, and IoT devices is generating massive amounts of data across various industries. Composite AI leverages this data to gain insights, make predictions, and deliver personalized experiences. Increased data availability will facilitate the development and deployment of composite AI solutions.
The software segment is expected to hold the largest market size during the forecast period.
The global composite AI market is segmented based on hardware, software, and service offerings. The base software segment is divided into AI development platforms and tools, machine learning (ML) frameworks, AI middleware, and other software (computer vision software, data management tools, monitoring software, security and governance tools).
Composite AI software refers to software systems and tools that can integrate multiple AI technologies such as machine learning, natural language processing, computer vision, and robotics to create more advanced AI applications. One of the key software tools used in composite AI is machine learning frameworks.
These frameworks provide tools and libraries for developing and training machine learning models, facilitating the creation and optimization of AI algorithms.
Data mining and machine learning segment is expected to grow at a higher CAGR during the forecast period.
Based on technology, the global combined AI market is dominated by conditional monitoring, pattern recognition, data processing, proactive mechanisms, data mining and machine learning, and other techniques (AutoML and model building, model stacking and ensembles, transfer learning, etc.). ).
Data mining and machine learning techniques will gain prominence in the coming years. These techniques are used to extract valuable insights from large, complex datasets, train AI models, and drive intelligent decision-making.
Among the verticals, the BFSI segment will hold the largest market size during the forecast period.
Composite AI solutions have been adopted in numerous applications across the BFSI sector, including: scam Detection and Prevention, Risk Assessment and Management, Customer Service, Credit Scoring, Compliance and Regulatory Reporting. Adopting a combined AI solution in the BFSI space offers many benefits, including increased operational efficiency, improved customer experience, reduced risk, and compliance with regulatory requirements.
Asia Pacific It will grow at a higher CAGR during the forecast period.
Growth of Composite AI Solutions Across Five Major Regions North America, Europe, Asia Pacific, middle east and Africaand latin america This is driven by factors such as technological advances, industry-specific demands, government initiatives, talent availability, and growing awareness of AI’s potential to transform business and society. Asia Pacific The region is witnessing a rapid increase in the adoption of complex AI solutions.
country like China, Japan, Koreaand India Leading AI research and development with strong government support and investment. Major industries such as manufacturing, e-commerce, healthcare, and BFSI are aggressively deploying hybrid AI to gain a competitive edge, drive innovation, and meet the growing demand for advanced AI-driven solutions. increase.
Asia Pacific Home to one of the fastest growing economies in the world, the region has seen rapid technological progress. The increasing adoption of advanced technologies such as AI, big data analytics, and cloud computing has increased the demand for combined AI solutions.
Market trend
driver
- AI Applications Growing in Complexity for Better Performance and Accuracy
- Increasing demand for more customized and flexible solutions to improve efficiency and productivity
- Advances in hardware components and infrastructure to improve scalability
- Increasing Use of Composite AI for Industry-Specific Applications
Restraint
- Data privacy and security concerns
- Lack of Skilled and Talented Workforce
chance
- Integration with edge computing and IoT for real-time decision making
- Growing Demand for Explainable AI and Trust Across Healthcare and Bfsi Sectors
Theme
- Data availability and quality
- High infrastructure costs and low ROI
Case study analysis
- Building a holistic view of customer and Tier 1 bank activities leveraging the Data Fabric concept
- Intuit uses Amazon Sagemaker to manage machine learning at scale
- Sas Analytics solution helped USG Corporation improve manufacturing processes
- Orlando Magic uses mobile app data and machine learning to personalize marketing campaigns
- Amsterdam UMC uses analytics and AI to improve speed and accuracy of tumor assessment
- At Special Olympics, Abu Dhabi uses Sas analytics and AI solutions to keep athletes safe
- HPE supports new initiative to address complex data privacy requirements and improve operational efficiency
companies mentioned
- Actico
- AWS
- Black Swan Technologies
- cognitive scale
- data robot
- Diwo
- dynamic yield
- Exponential AI
- H20.AI
- HPE
- IBM
- intel
- Kindy
- microsoft
- nauto
- Netra
- Nvidia
- open text
- Oracle
- Pega
- Salesforce
- SAP
- SAS Institute
- spark cognition
- Squiro
- wipas
- Zest AI
For more information on this report, please visit https://www.researchandmarkets.com/r/f5q62h.
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