Global Social Credit Market Study and Forecast 2020-2025 - Infrastructure to Support Social Credit Systems Represents a Nearly $14.7B Global Opportunity by 2025 (2024)

Social credit systems represent the ability to identify (mostly people but also some things) and track activities for purposes of grading behaviors and applying social credit scoring. A given grading/scoring methodology depends largely on social credit system objectives and metrics. However, most systems will have socially acceptable behavior at their core. This presents both a challenge and an opportunity as a combination of government, companies, and society as a whole must determine good, bad, and marginal behavior within the social credit market.

Beginning as a trend largely orthogonal to public safety and homeland security concerns, the market for social credit system infrastructure will ultimately become a mainstream component of both business and public policy. This means that systems will ultimately be used for a variety of commerce and lifestyle-related issues ranging from risk assessment (access to credit, financing fees, insurance, etc.) to accessibility within public places such as concerts, sporting events, and other assemblies. High social scoring individuals within the social credit market will be granted preferred access to both real and digital assets.

Social credit system infrastructure includes analog and digital surveillance, Internet-enabled devices like smartphones, wearable devices, security systems sensor-enabled physical objects, and surveillance devices that use biometrics and computer vision. Technologies include broadband wireless (WiFi, LTE, and 5G), IoT, AI algorithms, and big data analytics platforms, processes, and procedures. While each of these systems has market value individually, and are deployed separately for various purposes, it is the convergence of these otherwise disparate technologies that will facilitate value within the social credit market. For example, combined AI and IoT systems will be leveraged to identify important events that require immediate action versus those that are merely archived.

It is important to note that there is great overlap between the technologies used for social credit systems and other solutions such as public safety, homeland security, and smart cities applications of many types including smart transportation (highways and surface streets, parking, autonomous vehicles, etc.), intelligent buildings, environmental monitoring (light, temperature, pressure, etc.). Many of these infrastructure elements are already planned for smart cities implementations and will, therefore, be multi-purposed including support of the social credit market.

In terms of physical infrastructure, social credit systems will rely upon various forms of equipment and platforms including sensors, biometrics, cameras, and other optical devices, computer vision systems, and other advanced computing platforms. Cyberinfrastructure includes platforms, devices, and software to support data processing and correlation with identity information, which shall leverage AI, IoT, and advanced data analytics. The main purpose for all the aforementioned infrastructure elements is to capture data, which must be stored and acted upon as appropriate.

At the heart of social credit systems are large-scale data repositories that may store virtually any type of data that may be correlated to or associate with citizens and businesses in terms of both identity and behaviors. This includes raw observational data as well as listings (white, gray, red, and black) and meta-data to tie together data elements and allow for ease of information queries. Without the use of AI and big data technology, it would be problematic to implement social credit market systems in a meaningful way as massive amounts of disparate data must be correlated.

1. Executive Summary
1.1 Research Objectives
1.2 Select Findings

2. Introduction
2.1 Social Credit Market Drivers
2.2 Social Credit Systems
2.2.1 Business Frameworks: FICO Scores vs. Social Credit Scoring
2.2.2 Social Frameworks supporting Commercial Rating Systems
2.3 Social Credit System Structure
2.3.1 Social Credit System Infrastructure
2.3.2 Reputation Databases
2.3.2.1 Whitelists
2.3.2.2 Gray Listing
2.3.2.3 Blacklists and Red Lists
2.4 Ethical and Social Implications of Social Credit Systems
2.4.1 Implications for Citizens
2.4.2 Implications for Business
2.4.3 Implications for National Economies and Economic Systems
2.4.4 Concerns about Autocracy and Government Overreach
2.4.5 The Impact of Rewards and Penalties
2.4.6 The Need for Transparency
2.5 Social Credit Market SWOT Analysis
2.5.1 Strengths
2.5.2 Weaknesses
2.5.3 Opportunities
2.5.4 Threats

3. Social Credit System Technologies and Applications
3.1 Infrastructure Technologies
3.2 Data Collection, Structuring and Analytics
3.3 Machine Learning and AI APIs
3.4 Gamification in Social Credit Systems
3.5 Social Credit Market Use Cases/Drivers
3.5.1 Surveillance and Monitoring for Security and Public Safety
3.5.2 Reducing the Crime and Punishment Cycle
3.5.3 Overall Social Governance and Public Policy Planning
3.5.4 Improving Overall Societal Trust, Security, and Public Safety
3.5.5 With Social Benefits come Associated Restrictions
3.5.6 Enterprise Planning and Customer Relationship Management
3.6 Social Credit Market Deployment Assessment
3.6.1 Comparing China to the United States
3.6.2 Other Countries
3.7 Blockchain and Social Credit Systems
3.8 IoT, Smart Cities, and Cloud-based Deployment

4. Company Analysis
4.1 Alibaba
4.2 Tencent
4.3 Baidu
4.4 Amazon
4.5 Facebook
4.6 Google
4.7 China Rapid Finance
4.8 Points
4.9 Apple
4.10 IBM
4.11 NEC
4.12 NEXT Biometrics
4.13 Aratek
4.14 Neurotechnology
4.15 Deep Vision AI
4.16 Netradyne
4.17 Texas Instruments
4.18 STMicroelectronics
4.19 NXM Semiconductors
4.20 Broadcom Limited (Avago)
4.21 Robert Bosch GmbH
4.22 Infineon Technologies
4.23 Analog Devices
4.24 Omron corporation
4.25 ACTi
4.26 Axis
4.27 Bosch Security Systems
4.28 Canon
4.29 Cisco
4.30 Honeywell
4.31 Logitech
4.32 Panasonic
4.33 Samsung
4.34 Sony
4.35 Toshiba
4.36 Knightscope
4.37 NVidia

5. Social Credit Systems Market Analysis and Forecasts
5.1 Global Social Credit System Market 2020-2025
5.1.1 Total Social Credit System Market Value Globally 2020-2025
5.1.2 Social Credit System Market by Technology 2020-2025
5.1.2.1 Social Credit System Market by Infrastructure Type 2020-2025
5.1.2.2 Social Credit System Market by Software Type 2020-2025
5.1.2.3 Social Credit System Market by Service Type 2020-2025
5.1.2.3.1 Social Credit System Market by Managed Services 2020-2025
5.1.2.3.2 Social Credit System Market by Professional Services Type 2020-2025
5.1.3 Social Credit System Market by Application 2020-2025
5.1.4 Social Credit System Market by Industry Vertical 2020-2025
5.2 Regional Outlook for Social Credit Systems 2020-2025
5.2.1 Social Credit System Market by Region 2020-2025
5.2.2 Social Credit System in Asia Pacific Market 2020-2025
5.2.3 Social Credit System in North America Market 2020-2025
5.2.4 Social Credit System in Europe Market 2020-2025
5.2.5 Social Credit System in Latin America Market 2020-2025
5.2.6 Social Credit System in the Middle East and Africa Market 2020-2025

6. Conclusions and Recommendations
6.1 Advertisers and Media Companies
6.2 Artificial Intelligence Providers
6.3 Automotive Companies
6.4 Broadband Infrastructure Providers
6.5 Communication Service Providers
6.6 Computing Companies
6.7 Data Analytics Providers
6.8 Immersive Technology (AR, VR, and MR) Providers
6.9 Networking Equipment Providers
6.10 Networking Security Providers
6.11 Semiconductor Companies
6.12 IoT Suppliers and Service Providers
6.13 Software Providers
6.14 Smart City System Integrators
6.15 Social Media Companies
6.16 Enterprises and Governments
6.17 Citizenry

Research and Markets
Laura Wood, Senior Manager
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