The Business Research Company’s report on the Amusement Parks Global Market Report 2025 Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the key drivers behind the edge ai software market’s growth in recent years?
The increasing adoption of 5G network technology is expected to propel the growth of the edge AI software market going forward. 5G network technology is the fifth generation of mobile network technology, representing a significant advancement over its predecessors (2G, 3G, and 4G/LTE). 5G technology is increasingly adopted due to its faster speeds, lower latency, and ability to support a growing number of connected devices, enabling advancements in industries such as IoT, healthcare, and autonomous vehicles. 5G network technology is used in edge AI software to offer faster data transmission and minimal lag, which is crucial for real-time AI processing at the edge. For instance, in April 2023, according to 5G Americas, a US-based industry trade organization, there was a 76% growth in global 5G wireless connections from the end of 2021 to the end of 2022, reaching a total of 1.05 billion connections. Therefore, the increasing adoption of 5G network technology is driving the growth of the edge AI software market.
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How does the future projection of the edge ai software market size compare to its historical growth?
The edge AI software market size has grown exponentially in recent years. It will grow from $1.76 billion in 2024 to $2.3 billion in 2025 at a compound annual growth rate (CAGR) of 30.5%. The growth in the historic period can be attributed to technological advancements, increasing demand for real-time processing, growth in internet of things (IoT) devices, rising complexity of data at the edge, and improvements in edge computing infrastructure.
The edge AI software market size is expected to see exponential growth in the next few years. It will grow to $5.87 billion in 2029 at a compound annual growth rate (CAGR) of 26.3%. The growth in the forecast period can be attributed enhanced edge AI hardware capabilities, integration of 5G networks, expansion of edge AI in healthcare applications, growing emphasis on privacy and data security, and rising adoption of edge AI in autonomous vehicles. Major trends in the forecast period include mergers and acquisitions, Edge AI in industrial automation, Edge AI for video analytics and surveillance, Edge AI deployment in smart cities, Edge AI for personalized user experiences, and Edge AI applications in edge-to-cloud synergy.
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Which key players are shaping the future of the edge ai software market?
Major companies operating in the edge ai software market report are Alphabet Inc., Google LLC, Microsoft Corporation, Amazon Web Services, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Baidu Inc., Renesas Electronics Corporation, Synaptics Incorporated, Nutanix Inc., TIBCO Software Inc., Cloudera Inc., DataRobot Inc., Bragi GmbH, Gorilla Technology Group, Tact.ai Technologies Inc., FogHorn Systems Inc., ClearBlade Inc., Octonion SA, Anagog Ltd., Imagimob AB, Azion Technologies, Avassa, Adapdix, SWIM.AI Inc., Veea Inc., XNOR.AI Inc.
What trends will propel the growth and evolution of the edge ai software market?
Major companies operating in the edge AI software market are focusing on developing innovative solutions, such as the edge AI suite. An edge AI suite typically refers to a comprehensive set of software tools, frameworks, and services that collectively enable the implementation of artificial intelligence (AI) capabilities at the edge of a network. For instance, in December 2023, STMicroelectronics NV, a Switzerland-based semiconductor manufacturing company, launched ‘ST Edge AI Suite’. It is integrated with software tools and compatible with the company’s hardware, which accelerates the initiation and implementation of countless connected, autonomous devices embedded with local artificial intelligence, facilitating the seamless design and deployment of such solutions on a large scale. It will broaden and consolidate various software tools, evaluations, and development kits introduced over the last decade, all while utilizing the established AI ecosystem within machine learning (ML).
Which regions are expected to become dominant players in the edge ai software market?
North America was the largest region in the edge AI software market in 2024. The regions covered in the edge ai software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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What are the emerging key segments in the edge ai software market, and how are they evolving?
The edge AI software market covered in this report is segmented –
1) By Component: Solution, Software Tools, Platform, Services, Training And Consulting Services, System Integration Testing, Support And Maintenance
2) By Data Type: Video And Image Data, Audio Data, Text And Language Data, Environmental And Location Data, Biometric Data, Multi-Modal Data
3) By Application: Access Control, Autonomous Vehicles, Energy Management, Predictive Maintenance, Remote Monitoring, Telemetry, Video Surveillance, Other Applications
4) By Vertical: Banking, Financial Services, And Insurance, Government And Public Sector, Healthcare And Life Sciences, Telecommunications, Energy And Utilities, Manufacturing, Automotive, Transportations, And Logistics, Media And Entertainment, Other Verticals
Subsegments:
1) By Solution: Application-Specific Solutions, Industry-Specific Solutions
2) By Software Tools: Development Tools, Analytics Tools, Monitoring Tools
3) By Platform: Edge Computing Platforms, AI Frameworks, IoT Platforms
4) By Services: Consulting Services, Managed Services
5) By Training And Consulting Services: Training Programs, Strategy Consulting
6) By System Integration Testing: Functional Testing, Performance Testing, Security Testing
7) By Support And Maintenance: Technical Support, Software Updates, System Maintenance Services
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How is the edge ai software market defined, and what are its core characteristics?
Edge AI (Artificial Intelligence) software refers to software applications and algorithms designed to run on edge devices located closer to the source of data generation rather than relying on centralized cloud-based servers. Edge AI enables devices to make intelligent decisions rapidly without connecting to the cloud or external data centers. Edge AI software provides many benefits, such as less power use, privacy, security, reduced bandwidth, scalability, and others.
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