Report Highlights
This report provides an overview of emerging artificial intelligence (AI) technologies and their applications across various industries. It covers emerging AI technologies and their applications and use cases in several industry verticals.
Report Includes
- A comprehensive and real-time analysis of the evolving artificial intelligence (AI) technology landscape and their applications across various industries.
- Understanding of the latest and emerging AI technologies, and their significance in the evolving AI ecosystem.
- Technology-specific AI use case analyses for robotics, cybersecurity, digital twin, AR/VR, blockchain, edge computing, and IoT technologies.
- Use Cases of AI for successful implementation across various end-use industries.
- AI use case analysis for startups on how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
- Insights into future AI Use Cases in the coming years, considering technological progress and shifting industry demands.
Report Scope
This report provides an in-depth examination of the current and future landscape of AI applications. Its multi-dimensional analysis addresses both the technological advances driving AI and the many ways these advances are being leveraged across various industries and by emerging businesses.
- The report provides an analysis of the latest and emerging AI technologies, such as genAI, edge AI, eXplainable AI (XAI), QML, large language models (LLMs), agentic AI, reinforcement learning and others (federated AI and neuromorphic computing), and their significance in the evolving AI ecosystem.
- The AI use case analysis by technology, where practical applications of AI are explored across a spectrum of underlying technologies, including robotics, cybersecurity, digital twins, XR, AR, VR, blockchain, IoT, and edge computing is explained in detail. It presents the problems that AI solves within each technological context, the solutions implemented, and the resulting outcomes.
- The detailed analysis of AI use cases by industry covers healthcare, finance and banking, logistics, retail and e-commerce, education and edtech, media and entertainment, telecom, oil and gas, automotive, manufacturing and others (agriculture, aerospace and defense, construction and mining).
- It also includes a section on AI use case analysis for startups. It examines how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
- The study offers a future perspective on AI use cases, analyzing how AI applications will continue to evolve and reshape industries and technologies, emphasizing areas such as robotics and cybersecurity.
Analyst Credentials
BCC Research Team possesses expertise and experience in life and physical science domains. They specialize in offering valuable business insights, including industry analysis, competitor intelligence, strategic and financial analysis, and opportunity assessment. The team has in-depth knowledge of various sectors, including healthcare, biotechnology, pharmaceuticals, IT, automation, advanced materials, and energy. They are proficient in qualitative and quantitative market intelligence providing clients with actionable insights. With a vast understanding of the competitive landscape, the team can support clients in making data-driven decisions to help them achieve a competitive edge in their respective markets.
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Report Highlights
This report provides an overview of the evolving artificial intelligence (AI) landscape. It covers emerging AI technologies and their applications and use cases in several industry verticals. The report explores latest AI advances, such as GenAI, edge AI, XAI and quantum ML, to analyze specific AI use cases across a range of technologies, describing the problems addressed, the solutions offered and the tangible outcomes.
Report Includes
- A brief general outlook of the AI use-case scenarios across industries or applications with problems, solutions and results achieved
- Key success factors for AI from use-case analysis
- Technology-specific AI use case analyses for robotics, cybersecurity, digital twin, AR/VR, blockchain, edge computing, and IoT technologies
- Use-case analysis for startups, including operational, product development and innovation, and infrastructure and compliance
- Case studies on AI implementation to improve business processes and for products and service innovation
- Insights into future AI adoption plans of key companies across different sectors, and projections and growth forecasts
- Expert quotes on AI use cases from primary respondents
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