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Report Highlights
This report provides an understanding of the artificial intelligence (AI) camera market and the driving factors behind its adoption. It identifies the potential areas of growth and obstacles related to AI cameras, as well as to highlights the areas that require improvement within the AI camera industry. In this report, the global market of AI cameras has been segmented based on offerings, product type, technology, end users, and geographical region.
Report Includes
- An overview of the global market for AI cameras
- Analysis of global market trends, featuring historical revenue data for 2022, estimated figures for 2023, as well as forecasts for 2024, and 2026. This analysis includes projections of compound annual growth rates (CAGRs) through 2028
- Evaluation of the current market size and revenue growth prospects, accompanied by a market share analysis by offering, product type, technology, end user and geographic region
- Discussion on the advantages of AI cameras, such as discerning patterns, identifying objects, and predicting potential security threats
- Coverage of emerging technologies, the current and future market potential, and the regulatory framework
- Review of patents and ESG trends related to AI cameras
- Market share analysis of the key companies in the industry and coverage of mergers & acquisitions, joint ventures, collaborations, partnerships, and other market strategies
- Profiles of the leading market participants
Report Scope
Digital cameras are available in two modes: an AI camera and a simple camera. This report focuses specifically on AI cameras, which comprise more than 75% of the camera market. In this report, the global market of AI cameras has been segmented based on offerings, product type, technology, end users, and geographical region. Based on offerings, the AI camera market has been categorized into hardware and software. Based on product type, the AI camera market has been categorized into compact cameras, closed-circuit television (CCTV) cameras, digital single-lens reflex (DSLR) cameras, 360-degree cameras, and others. Based on technology, the AI camera market has been categorized into image/face recognition, voice/speech recognition, and optical character recognition. Based on end users, the AI camera market has been categorized into consumer electronics, security and surveillance, retail/e-commerce, healthcare, automotive, manufacturing, and others. By geography, the market has been segmented into North America, Europe, Asia-Pacific, and the Rest of the World (RoW). Asia-Pacific currently is the most dominant market for AI cameras.
Report Synopsis
| Report Metrics | Details | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Base year considered | 2022 | ||||||||||||
| Forecast period considered | 2023-2028 | ||||||||||||
| Base year market size | $6.7 billion | ||||||||||||
| Market size forecast | $23.1 billion | ||||||||||||
| Growth rate | CAGR of 23.8% from 2023 through 2028 | ||||||||||||
| Units considered | $ Millions | ||||||||||||
| Segments covered | By Offering, Product Type, Technology Type, End User, and Geographic Region | ||||||||||||
| Regions covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) | ||||||||||||
| Key Market Drivers |
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| Companies studied |
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Frequently Asked Questions (FAQs)
- By Offering.
- By Product Type.
- By Technology Type.
- By End User.
- By Region.
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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