Edge AI software is a platform that enables developers to build and deploy AI applications at the edge. The software provides a set of tools that allow developers to train and deploy models on devices at the edge, without the need for a cloud connection. The software also includes a set of libraries that provide access to hardware accelerators, such as GPUs and FPGAs, that can be used to improve the performance of AI applications.
Key Trends
There are three key trends in AI software technology:
- The increasing use of AI in business applications:
AI is being used more and more in business applications, such as customer service, sales, marketing, and product development. Businesses are using AI to automate tasks, improve decision-making, and better understand and serve their customers.
- The increasing use of AI in consumer applications:
Consumer applications of AI are becoming more popular, such as personal assistants, chatbots, and recommendations. Consumers are using AI to save time, get help with tasks, and find new products and services.
- The increasing use of AI in government and military applications:
Government and military organizations are using AI for a variety of tasks, such as intelligence analysis, counterterrorism, and border security. AI is being used to automate tasks, improve decision-making, and better understand and respond to threats.
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Key Drivers
There are four key drivers of the Edge AI software market:
- Increasing demand for real-time data processing: The increasing demand for real-time data processing is one of the key drivers of the Edge AI software market.
- Reducing latency and bandwidth requirements: Another key driver of the Edge AI software market is the need to reduce latency and bandwidth requirements.
- Enhancing security and privacy: Security and privacy are important considerations for any AI system. Edge AI software can help to enhance security and privacy by keeping data local and processing it on-device.
- reducing costs: One of the key drivers of the Edge AI software market is the need to reduce costs. Cloud-based AI services can be expensive, especially if data needs to be transmitted to the cloud for processing.
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Research Objectives
- Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region
- Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling
- Identify factors influencing market growth and challenges, opportunities, drivers and restraints
- Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates
- Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities
- Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market
- To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.
- Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives
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Market Segments
The edge artificial intelligence software market is segmented by component, application, end-user, and region. By component, the market is classified into solutions, and services, Based on the application, it is bifurcated into autonomous vehicles, access management, video surveillance, remote monitoring and predictive maintenance, and others. On the basis of the end-user, it is divided into government & public, manufacturing, healthcare, automotive, IT & telecom, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and the rest of the World.
Key Players
The edge artificial intelligence software market includes players such as Alphabet Inc., Microsoft Corporation, IBM Corporation, Amazon Web Services Inc., Nutanix, Synaptics Incorporated, Swim.AI Inc., Imagimob AB, Anagog Ltd., Tibco Software Inc., and others.
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Research Scope
- Scope – Highlights, Trends, Insights. Attractiveness, Forecast
- Market Sizing – Product Type, End User, Offering Type, Technology, Region, Country, Others
- Market Dynamics – Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain
- Business Framework – Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments
- Competitive Landscape – Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis
- Company Profiles – Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis.
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