Edge Analytics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Edge Analytics Market will record a 25% CAGR from 2024 to 2032, with advancements in edge computing technology and the increased adoption of AI and machine learning. Edge computing enables real-time data processing at the source and reduces latency and enhances operational efficiency. Integrating AI and machine learning further augments this capability by enabling sophisticated data analysis and predictive insights directly at the edge. These innovations collectively improve decision-making and operational agility, fueling the demand for advanced-edge analytics solutions in various industries.

Recently, NTT DATA launched its 'Edge AI' platform, aiming to bolster the convergence of IT and OT by facilitating AI processing at the edge. This initiative underscores the heightened emphasis on merging IT and OT systems, fueling the demand for advanced edge analytics capable of real-time data processing and boosting operational efficiency. The shift mirrors a wider movement towards harnessing edge computing for performance optimization and insight generation across diverse industrial applications.

The edge analytics industry is categorized based on components, business applications, types, deployment models, industry verticals, and regions.

By 2032, the cloud segment is poised for significant growth, thanks to its scalability, flexibility, and cost-effectiveness. Cloud-centric edge analytics solutions boast strong data processing and storage capabilities, allowing businesses to adeptly manage the vast data volumes generated at the edge. This synergy facilitates advanced analytics, timely insights, and smooth data management across multiple sites. As more organizations embrace the advantages of cloud infrastructure, the appetite for cloud-based edge analytics solutions surges, cementing the segment's market leadership.

The manufacturing sector is set to add substantial gains to the industry up to 2032, driven by its pressing demand for real-time data processing and heightened operational efficiency. With edge analytics, manufacturers can process data at its origin, slashing latency and refining decision-making. This leads to better equipment maintenance, streamlined production processes, and stringent quality control. The rising integration of IoT devices and smart sensors in manufacturing amplifies the demand for edge analytics, reinforcing its dominant market position.

Asia Pacific edge analytics market is expected to maintain a robust presence through 2024-2032, fueled by swift industrialization, tech innovations, and a growing embrace of IoT devices. The region's commitment to digital transformation and smart city projects amplifies the need for timely data processing and analytical solutions. Moreover, the burgeoning data centers and cloud infrastructure bolster edge analytics deployment. With varied applications spanning manufacturing, retail, and healthcare, APAC's significance in the market is further accentuated, marking it as a key player.

Product Code: 5275

Chapter 1 Methodology and Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates and calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimates
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope and definitions

Chapter 2 Executive Summary

2.1 Industry 360º synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Device manufacturers
- 3.2.2 Software providers
- 3.2.3 Telecom companies
- 3.2.4 Cloud service providers
- 3.2.5 End users
3.3 Profit margin analysis
3.4 Technology innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing demand for real-time data analysis
  - 3.8.1.2 Proliferation of IoT devices across various industries
  - 3.8.1.3 Rising bandwidth and latency concerns due to high growth of data
  - 3.8.1.4 Increasing adoption on automation in various sectors
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Data security and privacy
  - 3.8.2.2 Lack of standardization and scalability challenges
3.9 Growth potential analysis
3.10 Porter's analysis
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market, by Component ($Bn)

5.1 Key trends
5.2 Solution
5.3 Services
- 5.3.1 Professional
- 5.3.2 Managed

Chapter 6 Market, By Deployment Model ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market, by Business Application ($Bn)

7.1 Key trends
7.2 Marketing
7.3 Sales
7.4 Operations
7.5 Finance
7.6 Human resources

Chapter 8 Market, By Type ($Bn)

8.1 Key trends
8.2 Predictive analytics
8.3 Descriptive analytics
8.4 Prescriptive analytics
8.5 Diagnostic analytics

Chapter 9 Market, By Industry Vertical ($Bn)

9.1 Key trends
9.2 IT and Telecom
9.3 BFSI
9.4 Manufacturing
9.5 Healthcare and life science
9.6 Retail
9.7 Transportation and logistics
9.8 Government
9.9 Energy and utilities
9.10 Others

Chapter 10 Market, By Region

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Nordics
- 10.3.8 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 Latin America
- 10.5.1 Brazil
- 10.5.2 Mexico
- 10.5.3 Argentina
- 10.5.4 Rest of Latin America
10.6 MEA
- 10.6.1 South Africa
- 10.6.2 Saudi Arabia
- 10.6.3 UAE
- 10.6.4 Rest of MEA

Chapter 11 Company Profiles

11.1 AGT International Inc.
11.2 Amazon Web Services (AWS)
11.3 Apigee Corporation
11.4 CGI Group Inc.
11.5 Cisco Systems Inc.
11.6 Dell Technologies
11.7 Ericsson
11.8 Google LLC
11.9 Hewlett Packard Enterprise (HPE)
11.10 Hitachi Vantara
11.11 IBM Corporation
11.12 Intel Corporation
11.13 Microsoft Corporation
11.14 Oracle Corporation
11.15 Predixion Software
11.16 PTC
11.17 SAP SE
11.18 SAS Institute Inc.
11.19 Siemens AG
11.20 Tencent Holdings Ltd.