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Edge AI Software Drivers & Challenges of the Current Pandemic | Analysis to 2030

Edge AI Software Drivers & Challenges of the Current Pandemic | Analysis to 2030

Report Ocean has released a research study titled “Edge AI Software Market.” This study offers precise economic forecasts, global assessments, and country-level insights. It provides a comprehensive view of the competitive market and includes an in-depth supply chain analysis to identify significant industry changes. The study explores the current market status, anticipated future growth, technological advancements, investment opportunities, market economics, and financial data. It thoroughly examines the market and offers insights based on a SWOT analysis of the industry.

Edge AI Software Market is valued at approximately USD 0.48 billion in 2019 and is anticipated to grow with a healthy growth rate of more than 20.3 % over the forecast period 2020-2027. In a cloud-based server farm, artificial intelligence is currently carried out mainly. Most of the preparation for AI is done through the training of deep learning models, which includes specialized computer skills. AI derivation, which is performed after preparation, and is typically less compute-focused, has been largely ignored from an AI processing perspective. Numerous factors such as growing enterprise workloads on the cloud and fast growth in the number of intelligent applications are likely to drive the adoption of the edge AI services and solutions.

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Edge AI software is used in connected vehicles as it aids in data processing immediately with safe hardware that is used to run the linked cars or autonomous vehicles. For instance, in august 2020, Bosch and Pony.AI have partnered on fleet management of automobile vehicles with the assistance of AI software. Edge AI software is used in administration of different data which in turn facilitates business to enhance speed, bandwidth, improved data analysis, enhanced individual experience, and reduce latency, which is anticipated to boost the global market in the forecast period. However, the increase of security violations, attacks, and Denial of Service (DoS) on systems, such as base stations, routers, and switches, are limiting the adoption of edge AI solutions, thus, hampering the market growth.

Major market player included in this report are:

Alphabet Inc.
Microsoft Corporation
IBM Corporation
Amazon Web Services, Inc.
Synaptics Incorporated
Imagimob AB
TIBCO Software Inc.
Octonion SA.
FogHorn Systems
Gorilla Technology Group

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Here’s a comprehensive analysis of the Land-based Smart Weapons Market.

  • Market Overview: The Land-based Smart Weapons Market involves precision-guided munitions or smart weapons deployed from land-based platforms such as vehicles, artillery, launchers, and ground-based missile systems. These weapons use advanced targeting and guidance systems to increase accuracy and minimize collateral damage.
  • Growth Drivers: The market growth is propelled by increasing defense spending worldwide, the need for precision strikes to reduce civilian casualties, and the evolution of warfare tactics towards more accurate and effective weaponry.
  • Market Segmentation: It is segmented based on weapon types such as guided rockets, missiles, artillery, anti-tank missiles, and other precision-guided munitions used for land-based operations.
  • Key Players: Major players in the land-based smart weapons market include Lockheed Martin Corporation, Raytheon Technologies Corporation, Rafael Advanced Defense Systems Ltd., MBDA, and BAE Systems. These companies focus on developing advanced guidance systems, enhancing range and accuracy, and improving interoperability with other defense systems.
  • Technological Advances: Advancements in sensor technology, guidance systems (GPS, inertial navigation, laser guidance), and targeting algorithms have significantly improved the accuracy, range, and effectiveness of land-based smart weapons.
  • Challenges: Challenges in this market include the high cost of development and deployment, the complexity of integrating multiple systems, ensuring cybersecurity and resilience against countermeasures, and geopolitical constraints on international sales and cooperation.
  • Applications: Land-based smart weapons find applications in various military operations, including precision strikes on enemy targets, neutralizing threats from armored vehicles, infrastructure, and providing effective support to ground forces during conflicts.
  • Regional Trends: The adoption and deployment of land-based smart weapons vary by region based on geopolitical tensions, defense budgets, and strategic interests. Regions with ongoing conflicts or security concerns tend to invest more in such weapons systems.
  • Future Outlook: The market is expected to witness continued growth with ongoing technological advancements aimed at increasing precision, reducing collateral damage, and enhancing the effectiveness of land-based military operations.
  • Market Opportunities: Opportunities exist for innovation in miniaturization of guidance systems, development of more cost-effective solutions, and integration of AI for autonomous targeting and decision-making, which can open new avenues for the adoption of land-based smart weapons across various defense scenarios. Additionally, advancements in swarming technologies and network-centric warfare can lead to new capabilities and applications for these weapons systems.

The detailed segments and sub-segment of the market are explained below:

By Component:

By Applications:
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring and Predictive Maintenance
Energy Management

By Data Source:
Video and Image Recognition
Speech Recognition
Biometric Data
Sensor Data
Mobile Data

By Vertical:
Government and Public
Energy and Utilities

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By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

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