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Edge Analytics Market

ID: MRFR/ICT/2301-HCR
100 Pages
Shubham Munde
October 2025

Edge Analytics Market Research Report: Information By Component (Solutions, Services), By Deployment (Cloud, On-Premise), By Business Application (Sales, Marketing, HR, Operations, Finance), By Verticals (Government, IT and Telecommunication, Manufacturing, Healthcare and Travel and Hospitality) And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2035

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Edge Analytics Market Summary

As per MRFR analysis, the Edge Analytics Market Size was estimated at 216.42 USD Billion in 2024. The Edge Analytics industry is projected to grow from 283.51 in 2025 to 4220.33 by 2035, exhibiting a compound annual growth rate (CAGR) of 31.0 during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The Edge Analytics Market is experiencing robust growth driven by technological advancements and increasing demand for real-time data processing.

  • North America remains the largest market for edge analytics, driven by extensive IoT integration and data processing needs.
  • Asia-Pacific is emerging as the fastest-growing region, fueled by rapid advancements in AI and machine learning technologies.
  • Predictive maintenance continues to dominate the market, while data visualization is gaining traction as the fastest-growing segment.
  • Key market drivers include the increased demand for real-time data processing and the expansion of IoT ecosystems.

Market Size & Forecast

2024 Market Size 216.42 (USD Billion)
2035 Market Size 4220.33 (USD Billion)
CAGR (2025 - 2035) 31.0%

Major Players

IBM (US), Microsoft (US), Amazon (US), Google (US), Cisco (US), SAP (DE), Oracle (US), Dell Technologies (US), Hewlett Packard Enterprise (US)

Edge Analytics Market Trends

The Edge Analytics Market is currently experiencing a transformative phase, driven by the increasing demand for real-time data processing and analysis. Organizations are recognizing the necessity of making informed decisions swiftly, which has led to a growing reliance on edge computing solutions. This shift allows data to be processed closer to its source, thereby reducing latency and enhancing operational efficiency. As industries continue to evolve, the integration of edge analytics into various applications appears to be a strategic move to harness the power of data effectively. Furthermore, the proliferation of Internet of Things (IoT) devices is contributing to the expansion of this market, as these devices generate vast amounts of data that require immediate analysis. In addition, the Edge Analytics Market is likely to benefit from advancements in artificial intelligence and machine learning technologies. These innovations enable more sophisticated data analysis capabilities at the edge, allowing organizations to derive actionable insights without relying heavily on centralized data centers. As businesses strive to enhance their competitive edge, the adoption of edge analytics solutions is expected to accelerate, fostering a more data-driven culture across sectors. Overall, the Edge Analytics Market is poised for substantial growth, driven by technological advancements and the increasing need for real-time data insights.

Rise of IoT Integration

The integration of Internet of Things devices is significantly influencing the Edge Analytics Market. As more devices connect to networks, the volume of data generated increases, necessitating efficient processing at the edge. This trend indicates a shift towards decentralized data management, where analytics occur closer to data sources, enhancing responsiveness and reducing bandwidth usage.

Advancements in AI and Machine Learning

Recent advancements in artificial intelligence and machine learning are reshaping the Edge Analytics Market. These technologies enable more complex data analysis at the edge, allowing organizations to extract valuable insights in real-time. This trend suggests a growing reliance on intelligent systems that can operate autonomously, further driving the adoption of edge analytics.

Focus on Data Security and Privacy

As organizations increasingly adopt edge analytics, there is a heightened focus on data security and privacy. The decentralized nature of edge computing raises concerns about data breaches and unauthorized access. Consequently, businesses are prioritizing robust security measures to protect sensitive information, indicating a trend towards more secure edge analytics solutions.

Edge Analytics Market Drivers

Growth of IoT Devices

The proliferation of Internet of Things (IoT) devices significantly influences the Global Edge Analytics Market Industry. With billions of connected devices generating vast amounts of data, the need for localized data processing becomes paramount. Edge analytics allows for the analysis of data at the source, reducing latency and bandwidth usage. For example, smart cities utilize edge analytics to manage traffic flow and optimize energy consumption. The market is poised for substantial growth, with a projected CAGR of 31.37% from 2025 to 2035, indicating that as IoT adoption continues, edge analytics will play a crucial role in managing and interpreting the data generated.

Need for Cost-Effective Solutions

The pursuit of cost-effective solutions drives the Global Edge Analytics Market Industry as organizations seek to optimize their operational expenditures. Edge analytics can reduce the costs associated with data transmission and storage by processing data locally. For example, retail businesses utilize edge analytics to analyze customer behavior in-store, allowing for targeted marketing strategies without incurring high data transfer costs. This focus on cost efficiency is expected to contribute to the market's growth trajectory, particularly as businesses aim to maximize their return on investment. As such, the demand for affordable edge analytics solutions is likely to rise.

Enhanced Data Security and Privacy

In an era where data breaches are prevalent, the Global Edge Analytics Market Industry is witnessing a heightened focus on data security and privacy. By processing data at the edge, organizations can minimize the risk of sensitive information being transmitted over networks, thereby enhancing security. Industries such as finance and healthcare are particularly sensitive to data privacy concerns. For instance, edge analytics can enable financial institutions to analyze transactions locally, reducing exposure to cyber threats. As regulatory frameworks evolve, the emphasis on secure data handling is likely to propel the adoption of edge analytics solutions, further driving market growth.

Advancements in Edge Computing Technology

Technological advancements in edge computing are pivotal to the evolution of the Global Edge Analytics Market Industry. Innovations such as improved hardware capabilities and sophisticated algorithms enhance the efficiency of edge analytics solutions. For instance, the integration of artificial intelligence and machine learning at the edge allows for more complex data analysis and decision-making processes. This technological evolution is expected to contribute to the market's expansion, with projections indicating a growth to 4226.7 USD Billion by 2035. As organizations seek to leverage these advancements, the demand for edge analytics solutions is likely to increase, fostering a competitive landscape.

Rising Demand for Real-Time Data Processing

The Global Edge Analytics Market Industry experiences a surge in demand for real-time data processing capabilities. Organizations across various sectors, including manufacturing and healthcare, increasingly rely on instantaneous data insights to enhance operational efficiency. For instance, in smart manufacturing, edge analytics enables real-time monitoring of equipment, leading to predictive maintenance and reduced downtime. This trend is reflected in the projected market growth, with the industry expected to reach 210.2 USD Billion in 2024. As businesses recognize the value of timely data, the adoption of edge analytics solutions is likely to accelerate, driving further investments in this technology.

Market Segment Insights

By Application: Predictive Maintenance (Largest) vs. Data Visualization (Fastest-Growing)

In the Edge Analytics Market, the application segment is primarily dominated by Predictive Maintenance, which holds the largest market share due to its extensive implementation across various industries, particularly in manufacturing and transportation. Real-Time Data Processing also plays a significant role, enabling organizations to make timely decisions based on live data. Meanwhile, Fraud Detection and Data Visualization are gaining traction as businesses increasingly seek to leverage analytics for operational efficiency and security against complex financial frauds.

Predictive Maintenance (Dominant) vs. Data Visualization (Emerging)

Predictive Maintenance serves as a dominant application in the Edge Analytics Market, helping industries minimize downtime and maintenance costs by anticipating equipment failures. This proactive approach not only aids in resource optimization but also enhances operational efficiency. On the other hand, Data Visualization is emerging as a vital tool, allowing organizations to interpret and present data insights visually. It democratizes data access, enabling teams to quickly identify trends and make informed decisions. Both segments reflect the broader shift toward data-driven strategies, with Predictive Maintenance underpinning operational resilience and Data Visualization fostering a culture of insight-driven innovation.

By End Use: Manufacturing (Largest) vs. Telecommunications (Fastest-Growing)

In the Edge Analytics Market, the manufacturing sector holds the largest share, driven by the need for real-time insights and operational efficiency. Companies in this space employ edge analytics to optimize production processes and reduce downtime, leading to increased adoption rates. Telecommunications is rapidly emerging as a significant player, focusing on the demand for enhanced network performance and the proliferation of IoT devices. This growing sector benefits from the need for low-latency data processing and services that edge analytics provides.

Manufacturing: Dominant vs. Telecommunications: Emerging

The manufacturing sector is currently the dominant force in the Edge Analytics Market, leveraging data analytics to streamline operations and improve overall productivity. Manufacturers use edge analytics to gather data from machines, thereby enabling predictive maintenance and better resource management. On the other hand, telecommunications is an emerging segment, propelled by the expansion of 5G networks and the increasing complexity of data traffic. Telecommunications companies utilize edge analytics to minimize latency and enhance customer experiences, positioning themselves to rapidly respond to market changes. As technology evolves, both sectors are likely to further capitalize on the benefits of edge analytics.

By Deployment Model: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the Edge Analytics Market, the deployment model segment is characterized by a unique distribution of market share among three key segments: On-Premises, Cloud-Based, and Hybrid. Currently, the Cloud-Based deployment model holds the largest market share, attributed to its scalability, flexibility, and lower upfront costs. However, On-Premises solutions are gaining traction, appealing to organizations concerned about data security and compliance. Hybrid models, while still developing in market share, offer a balance that is increasingly attractive in various industries.

Cloud-Based (Dominant) vs. On-Premises (Emerging)

The Cloud-Based deployment model is leading the Edge Analytics Market, driven by the demand for scalable solutions that can handle large volumes of data with rapid processing capabilities. Organizations favor Cloud-Based solutions for their flexibility, reducing the need for significant initial infrastructure investment and enabling seamless access to analytics tools from anywhere. In contrast, the On-Premises model is regarded as emerging, particularly in sectors with stringent regulatory requirements where data control and security are paramount. As organizations navigate these concerns, many are integrating On-Premises solutions with cloud capabilities to harness the best of both worlds, thereby boosting the growth potential of the edge analytics landscape.

By Data Source: IoT Devices (Largest) vs. Social Media (Fastest-Growing)

The Edge Analytics Market is significantly influenced by various data sources. Among them, IoT Devices hold the largest market share, driven by their integration in smart technologies and industries, providing real-time data processing capabilities. Social Media, though smaller currently, is rapidly gaining traction, showcasing a dynamic increase in analytics due to the vast volume of user-generated content and the need for sentiment analysis in business strategies.

Data Source: IoT Devices (Dominant) vs. Social Media (Emerging)

IoT Devices represent a dominant force in the Edge Analytics Market, as they seamlessly integrate into a variety of applications such as smart homes, smart cities, and industrial automation. These devices, equipped with advanced sensors, generate consistent streams of data that require immediate analysis at the edge for optimal performance. On the other hand, Social Media emerges as a fast-evolving source, characterized by its rich, unstructured data sets that provide insights into consumer behavior and trends. The growth of social media analytics reflects a shifting focus among businesses to harness real-time insights for marketing strategies, making this data source vital for advancing customer engagement.

By Technology: Artificial Intelligence (Largest) vs. Machine Learning (Fastest-Growing)

In the Edge Analytics Market, Artificial Intelligence (AI) has secured the largest share among the technologies. This dominance is driven by its wide application across industries, enhancing efficiency and decision-making processes. Machine Learning (ML), closely following AI, has shown rapid adoption rates, allowing it to emerge as the fastest-growing segment. This growth indicates a significant shift towards data-driven insights that ML technologies are increasingly able to provide. The growth trends for the Edge Analytics segment highlight a surge in demand for real-time data processing. Factors such as the proliferation of IoT devices and the need for processing large volumes of data at the edge have spurred developments in AI and ML technologies. These advancements are being fueled by businesses seeking to optimize operations and improve customer experiences, positioning ML as a key player in the expanding analytics landscape.

Technology: AI (Dominant) vs. ML (Emerging)

Within the Edge Analytics Market, Artificial Intelligence (AI) stands out as a dominant force, shaping various applications across sectors such as finance, healthcare, and logistics. AI leverages vast datasets to deliver actionable insights, thereby underpinning its established market position. In contrast, Machine Learning (ML) is emerging as a vital component of this technology segment, characterized by its ability to learn from data patterns autonomously. The growing demand for personalization and predictive analytics propels ML's significance, particularly in industries heavily reliant on data-driven decision-making. Both technologies complement each other, with AI providing strategic oversight while ML enhances operational efficiencies, ensuring that they both remain crucial to the evolving landscape of edge analytics.

Get more detailed insights about Edge Analytics Market

Regional Insights

North America : Innovation Hub for Analytics

North America dominates the Edge Analytics Market, holding a significant share of 108.21M in 2025. The region's growth is driven by rapid technological advancements, increasing data generation, and a strong focus on real-time analytics. Regulatory support for data privacy and security further fuels demand, as businesses seek to leverage analytics for competitive advantage. The presence of major tech companies enhances innovation and investment in this sector. The competitive landscape in North America is robust, with key players like IBM, Microsoft, and Amazon leading the charge. These companies are investing heavily in R&D to enhance their offerings and capture market share. The U.S. is the primary market, supported by a strong infrastructure and a skilled workforce. As organizations increasingly adopt IoT and AI technologies, the demand for edge analytics solutions is expected to grow exponentially, solidifying North America's position as a leader in this space.

Europe : Emerging Powerhouse in Analytics

Europe is witnessing a surge in the Edge Analytics Market, with a market size of 56.14M in 2025. The growth is propelled by increasing regulatory requirements for data protection, such as GDPR, which encourages organizations to adopt analytics solutions that comply with these standards. Additionally, the rise of smart cities and IoT initiatives across the region is driving demand for real-time data processing and analytics capabilities. Leading countries in Europe include Germany, the UK, and France, where major players like SAP and Oracle are making significant investments. The competitive landscape is characterized by a mix of established firms and innovative startups, fostering a dynamic environment for growth. As businesses increasingly recognize the value of data-driven decision-making, the Edge Analytics Market in Europe is poised for substantial expansion, supported by a strong regulatory framework.

Asia-Pacific : Rapidly Growing Analytics Market

The Asia-Pacific region is rapidly emerging in the Edge Analytics Market, with a market size of 42.07M in 2025. The growth is driven by increasing digital transformation initiatives, a surge in IoT devices, and the need for real-time data processing. Governments in countries like China and India are also promoting smart city projects, which further catalyze the demand for edge analytics solutions. The region's diverse industries are increasingly adopting these technologies to enhance operational efficiency and customer experiences. Key players in the Asia-Pacific market include local firms and global giants like Cisco and Dell Technologies. Countries such as Japan and Australia are leading the charge, supported by strong technological infrastructure and investment in R&D. As the region continues to embrace digitalization, the Edge Analytics Market is expected to witness significant growth, driven by both enterprise and government initiatives.

Middle East and Africa : Resource-Rich Frontier for Analytics

The Middle East and Africa (MEA) region is gradually developing its Edge Analytics Market, with a market size of 10.0M in 2025. The growth is primarily driven by increasing investments in digital infrastructure and a growing emphasis on data-driven decision-making across various sectors. Governments are recognizing the importance of analytics in enhancing operational efficiency and are implementing initiatives to support this transition, particularly in sectors like oil and gas, healthcare, and finance. Leading countries in the MEA region include the UAE and South Africa, where there is a growing presence of both local and international players. Companies are increasingly focusing on developing tailored analytics solutions to meet the unique needs of the region. As the demand for real-time insights continues to rise, the Edge Analytics Market in MEA is expected to expand, supported by ongoing investments in technology and infrastructure.

Key Players and Competitive Insights

The Edge Analytics Market is currently characterized by a dynamic competitive landscape, driven by the increasing demand for real-time data processing and decision-making capabilities. Key players such as IBM (US), Microsoft (US), and Amazon (US) are strategically positioning themselves through innovation and partnerships, which collectively enhance their operational focus. IBM (US) emphasizes its commitment to AI-driven analytics, while Microsoft (US) leverages its cloud infrastructure to integrate edge analytics seamlessly into its offerings. Amazon (US) continues to expand its edge computing services, indicating a robust strategy aimed at capturing a larger market share. These strategies not only foster competition but also stimulate advancements in technology and service delivery across the sector.

In terms of business tactics, companies are increasingly localizing their operations to optimize supply chains and enhance service delivery. The Edge Analytics Market appears moderately fragmented, with a mix of established players and emerging startups. This structure allows for diverse approaches to market entry and growth, as key players leverage their strengths to influence market dynamics. The collective influence of these companies shapes a competitive environment where innovation and customer-centric solutions are paramount.

In November 2025, IBM (US) announced a strategic partnership with a leading telecommunications provider to enhance its edge analytics capabilities. This collaboration aims to integrate advanced AI algorithms into the telecommunications infrastructure, thereby enabling real-time data processing at the network edge. The strategic importance of this move lies in its potential to significantly improve operational efficiencies and customer experiences, positioning IBM (US) as a frontrunner in the edge analytics domain.

Similarly, in October 2025, Microsoft (US) launched a new suite of edge analytics tools designed specifically for the manufacturing sector. This initiative reflects Microsoft's focus on digital transformation and its commitment to providing tailored solutions that address industry-specific challenges. The introduction of these tools is likely to enhance productivity and operational insights for manufacturers, thereby solidifying Microsoft's competitive edge in the market.

In December 2025, Amazon (US) unveiled an innovative edge analytics platform that integrates machine learning capabilities to facilitate predictive analytics for retail businesses. This strategic action underscores Amazon's intent to leverage its vast data resources to provide actionable insights, thereby enhancing customer engagement and operational efficiency. The significance of this platform lies in its ability to transform how retailers utilize data, potentially reshaping the competitive landscape in the retail sector.

As of December 2025, current trends in the Edge Analytics Market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are increasingly shaping the competitive landscape, fostering innovation and collaborative solutions. Looking ahead, it is anticipated that competitive differentiation will evolve, with a pronounced shift from price-based competition to a focus on innovation, technological advancements, and supply chain reliability. This evolution suggests that companies that prioritize these aspects will likely emerge as leaders in the Edge Analytics Market.

Key Companies in the Edge Analytics Market market include

Industry Developments

  • Q2 2024: Siemens launches new Industrial Edge Analytics Market platform for manufacturing sector Siemens announced the launch of its Industrial Edge Analytics Market platform, designed to enable real-time data processing and analytics at the edge for manufacturing environments. The platform aims to improve operational efficiency and reduce latency for industrial clients.
  • Q2 2024: NVIDIA and Microsoft partner to deliver edge AI analytics solutions for enterprise customers NVIDIA and Microsoft announced a strategic partnership to integrate NVIDIA’s edge AI hardware with Microsoft Azure’s cloud and edge analytics services, targeting enterprise customers seeking scalable, real-time analytics at the edge.
  • Q3 2024: Edge Impulse raises $60M Series C to expand edge analytics platform for IoT devices Edge Impulse, a startup specializing in edge analytics for IoT, secured $60 million in Series C funding to accelerate product development and expand its global reach in the industrial and consumer IoT markets.
  • Q3 2024: Cisco acquires edge analytics startup KineticEdge for $350 million Cisco announced the acquisition of KineticEdge, a company specializing in edge analytics software for distributed networks, to strengthen its portfolio in real-time data processing and analytics at the network edge.
  • Q4 2024: Amazon Web Services unveils AWS Edge Analytics Market Suite for real-time industrial data processing AWS launched its Edge Analytics Market Suite, a new set of tools and services designed to process and analyze industrial data at the edge, reducing the need for data transfer to the cloud and enabling faster decision-making.
  • Q4 2024: Intel opens new edge analytics R&D center in Munich Intel inaugurated a new research and development center in Munich focused on advancing edge analytics technologies, with an emphasis on AI-powered data processing for automotive and industrial applications.
  • Q1 2025: HPE wins $120M contract to deploy edge analytics for European smart grid project Hewlett Packard Enterprise secured a $120 million contract to provide edge analytics infrastructure for a major European smart grid initiative, aiming to enhance real-time monitoring and energy efficiency.
  • Q1 2025: FogHorn appoints new CEO to accelerate edge analytics growth strategy FogHorn, a leader in edge analytics software, announced the appointment of a new CEO, signaling a renewed focus on expanding its market presence and accelerating product innovation.
  • Q2 2025: Google Cloud partners with ABB to deliver edge analytics for industrial automation Google Cloud and ABB announced a partnership to integrate Google’s edge analytics capabilities with ABB’s industrial automation solutions, targeting manufacturing and energy sector clients.
  • Q2 2025: Siemens acquires edge analytics firm StreamAnalyze to boost IoT offerings Siemens acquired StreamAnalyze, a Swedish edge analytics company, to enhance its IoT portfolio and provide advanced real-time analytics for industrial customers.
  • Q3 2025: Schneider Electric launches EcoStruxure Edge Analytics Market for smart buildings Schneider Electric introduced EcoStruxure Edge Analytics Market, a new solution aimed at enabling real-time data analysis and automation in smart building environments.
  • Q3 2025: Dell Technologies announces global expansion of edge analytics services Dell Technologies revealed plans to expand its edge analytics services globally, focusing on providing real-time data processing solutions for manufacturing, healthcare, and retail sectors.

Future Outlook

Edge Analytics Market Future Outlook

The Edge Analytics Market is projected to grow at a 31.0% CAGR from 2024 to 2035, driven by increased data generation, IoT adoption, and demand for real-time insights.

New opportunities lie in:

  • Development of AI-driven edge analytics platforms for real-time decision-making.
  • Integration of edge analytics in smart manufacturing for operational efficiency.
  • Expansion of edge analytics solutions in healthcare for predictive patient monitoring.

By 2035, the Edge Analytics Market is expected to be a pivotal component of data-driven strategies globally.

Market Segmentation

Edge Analytics Market End Use Outlook

  • Manufacturing
  • Healthcare
  • Retail
  • Telecommunications

Edge Analytics Market Technology Outlook

  • Machine Learning
  • Artificial Intelligence
  • Natural Language Processing

Edge Analytics Market Application Outlook

  • Predictive Maintenance
  • Real-Time Data Processing
  • Data Visualization
  • Fraud Detection

Edge Analytics Market Data Source Outlook

  • IoT Devices
  • Social Media
  • Enterprise Applications
  • Sensors

Edge Analytics Market Deployment Model Outlook

  • On-Premises
  • Cloud-Based
  • Hybrid

Report Scope

MARKET SIZE 2024216.42(USD Billion)
MARKET SIZE 2025283.51(USD Billion)
MARKET SIZE 20354220.33(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)31.0% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Billion
Key Companies ProfiledIBM (US), Microsoft (US), Amazon (US), Google (US), Cisco (US), SAP (DE), Oracle (US), Dell Technologies (US), Hewlett Packard Enterprise (US)
Segments CoveredApplication, End Use, Deployment Model, Data Source, Technology
Key Market OpportunitiesIntegration of artificial intelligence in Edge Analytics Market enhances real-time data processing capabilities.
Key Market DynamicsRising demand for real-time data processing drives innovation and competition in the Edge Analytics Market.
Countries CoveredNorth America, Europe, APAC, South America, MEA

Market Highlights

Author
Shubham Munde
Research Analyst Level II

With a technical background in information technology & semiconductors, Shubham has 4.5+ years of experience in market research and analytics with the tasks of data mining, analysis, and project execution. He is the POC for our clients, for their consulting projects running under the ICT/Semiconductor domain. Shubham holds a Bachelor’s in Information and Technology and a Master of Business Administration (MBA). Shubham has executed over 150 research projects for our clients under the brand name Market Research Future in the last 2 years. His core skill is building the research respondent relation for gathering the primary information from industry and market estimation for niche markets. He is having expertise in conducting secondary & primary research, market estimations, market projections, competitive analysis, analysing current market trends and market dynamics, deep-dive analysis on market scenarios, consumer behaviour, technological impact analysis, consulting, analytics, etc. He has worked on fortune 500 companies' syndicate and consulting projects along with several government projects. He has worked on the projects of top tech brands such as IBM, Google, Microsoft, AWS, Meta, Oracle, Cisco Systems, Samsung, Accenture, VMware, Schneider Electric, Dell, HP, Ericsson, and so many others. He has worked on Metaverse, Web 3.0, Zero-Trust security, cyber-security, blockchain, quantum computing, robotics, 5G technology, High-Performance computing, data centers, AI, automation, IT equipment, sensors, semiconductors, consumer electronics and so many tech domain projects.

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FAQs

How much is the edge analytics market?

The edge analytics market size was valued at USD 216.41 Billion in 2024.

What is the growth rate of the edge analytics market?

The market is projected to grow at a CAGR of 31.2% during the forecast period, 2025 - 2034.

Which region held the largest market share in the edge analytics market?

Asia Pacific had the largest share of the market.

Who are the key players in the edge analytics market?

The key players in the market are AGT International Inc. (Switzerland), Cisco Corporation (U.S.), SAS Institute (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Foghorn Systems (U.S.), Apigee Corporation (U.S.), and others.

Which component led the edge analytics market?

The solutions category dominated the market in 2024.

Which vertical had the largest market share in the edge analytics market?

The manufacturing had the largest share in the market.

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