The Artificial Intelligence-As-A-Service (AIaaS) Market is being driven by Increasing investment in research and development
The Artificial Intelligence-As-A-Service (AIaaS) Market is expected to grow at a CAGR of 42.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 60237.9 million. Incorporating blockchain technology into Artificial Intelligence-as-a-Service (AIaaS) solutions offers significant advantages for enterprises. This technology, which functions as a decentralized, distributed, and public digital ledger, can increase transparency and efficiency during the operational process. By integrating AI applications with blockchain, businesses can improve traceability, allow real-time tracking, enhance security, reduce fraud, automate data flow, decrease paperwork, and increase transparency during the movement of products. These benefits enable companies to collaborate with AIaaS providers to streamline processes, reduce human error, and lower operating costs, thereby fueling the growth of the global AIaaS market.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
276 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 42.6% |
Market growth 2025-2029 |
USD 60237.9 million |
Market structure |
market_structure.ucfirst |
YoY growth 2024-2025(%) |
39.3 |
Key countries |
US, China, Canada, UK, Japan, Germany, India, Italy, South Korea, and France |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The Artificial Intelligence-as-a-Service (AIaaS) market encompasses various advanced machine learning techniques such as Neural Networks, Reinforcement Learning, Unsupervised Learning, Supervised Learning, Semi-supervised Learning, Transfer Learning, Federated Learning, Active Learning, Ensemble Learning, and Model Explainability. Additionally, AIaaS offers solutions for Bias Mitigation, Data Augmentation, Feature Engineering, Model Optimization, Model Evaluation, A/B Testing, Hyperparameter Tuning, Data Pipelines, Data Warehousing, Data Lakes, Data Governance Frameworks, Data Security Standards, Data Privacy Regulations, AI Governance, AI Regulation, AI Transparency, AI Accountability, AI Risk Assessment, and AI Auditing.
The Artificial Intelligence-as-a-Service (AIaaS) market is a significant segment within the expansive IT software industry. This market encompasses businesses delivering Computer Vision, Machine Learning (ML), Deep Learning (DL), Predictive Analytics, Sentiment Analysis, and Image Recognition solutions as cloud-based services. These advanced technologies enable businesses to automate complex processes, enhance customer experience, and derive valuable insights from data. The global IT software market, which includes application and systems software developers and producers, as well as database management software companies, serves as the super parent industry for AIaaS. According to Technavio's market analysis, the global system software market size is determined by the consolidated revenue generated from the provision of all types of systems software, including cloud-based AI solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
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