Global 3D Facial Recognition Market Insights, Size, and Forecast By End Use (Government, Commercial, Residential, Automotive, Healthcare), By Application (Security and Surveillance, Access Control, Healthcare, Retail, Banking and Financial Services), By Technology (Structured Light, Time-of-Flight, Depth Sensors, Stereo Vision, 3D Model-Based), By Component (Cameras, Software, Processors, Sensors, Lighting), By Region (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa), Key Companies, Competitive Analysis, Trends, and Projections for 2026-2035
Key Market Insights
Global 3D Facial Recognition Market is projected to grow from USD 8.7 Billion in 2025 to USD 54.2 Billion by 2035, reflecting a compound annual growth rate of 16.4% from 2026 through 2035. This sophisticated technology leverages three-dimensional data to create a highly accurate and robust representation of an individual's face, offering superior performance compared to traditional 2D systems, especially in varying lighting conditions and against spoofing attempts. Key market drivers propelling this growth include the escalating demand for enhanced security measures across various sectors, the increasing adoption of biometric authentication for secure access and transactions, and the continuous advancements in AI and machine learning algorithms that improve the accuracy and efficiency of 3D facial recognition systems. Furthermore, the rising integration of 3D facial recognition into consumer electronics, particularly smartphones, for unlocking and secure payments, is significantly contributing to its market expansion. However, the market faces restraints such as privacy concerns surrounding the collection and storage of biometric data, the high initial implementation costs associated with these advanced systems, and the potential for algorithmic bias in certain demographic groups.
Global 3D Facial Recognition Market Value (USD Billion) Analysis, 2025-2035
2025 - 2035
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A significant trend shaping the market is the convergence of 3D facial recognition with other biometric modalities, creating multi-factor authentication solutions for heightened security. The growing emphasis on liveness detection to counter sophisticated spoofing attacks is another crucial development. The market is also witnessing increasing investment in research and development to address current limitations and expand application possibilities. Opportunities abound in emerging applications within healthcare for patient identification and monitoring, in retail for personalized customer experiences and loss prevention, and in the automotive sector for driver monitoring and personalized infotainment systems. The expanding smart city initiatives globally, with their inherent need for robust public safety and security infrastructure, also present substantial opportunities for 3D facial recognition deployment.
Asia Pacific stands as the dominant region in the global 3D facial recognition market, driven by widespread government initiatives in public safety and surveillance, the rapid urbanization across economies, and the strong presence of consumer electronics manufacturing. The region is also the fastest growing, fueled by the accelerating digital transformation, the increasing adoption of contactless authentication technologies, and the growing smart infrastructure development in countries with large populations. Key players such as Gemalto, IDEMIA, Ayonix, FaceFirst, Cognitec, Omron, Paravision, Sensory, Thales, and iProov are actively pursuing strategies to capitalize on this growth. These strategies include strategic partnerships and collaborations to expand market reach, continuous innovation in product development to enhance accuracy and reduce costs, and mergers and acquisitions to consolidate market share and acquire new technologies. Their focus is also on developing application-specific solutions across the Security and Surveillance, financial services, and consumer electronics segments, further solidifying their positions in this dynamic and evolving market.
Quick Stats
Market Size (2025):
USD 8.7 BillionProjected Market Size (2035):
USD 54.2 BillionLeading Segment:
Security and Surveillance (38.5% Share)Dominant Region (2025):
Asia Pacific (41.8% Share)CAGR (2026-2035):
16.4%
What is 3D Facial Recognition?
3D facial recognition is a biometric technology that identifies individuals by analyzing the unique three dimensional shape of their face. Unlike traditional 2D systems that capture a flat image, 3D recognition maps the depth and curvature of facial features, creating a detailed geometric model. This involves projecting structured light or using multiple cameras to generate a depth map. The system then compares this 3D data to a stored template for verification or identification. Its significance lies in enhanced accuracy and robustness against spoofing attempts like photos or videos, as it detects the lack of three dimensionality. Applications span security, access control, and identity verification.
What are the Trends in Global 3D Facial Recognition Market
Privacy Preserving AI Dominance
Edge Computing Biometrics Expansion
Multimodal Fusion Security Rise
Micro Expression Analysis Revolution
Digital Identity Verification Boom
Privacy Preserving AI Dominance
Global 3D facial recognition is witnessing a profound shift towards privacy preserving AI dominance. This trend is driven by escalating user concerns over data exploitation and misuse of biometric information. Instead of relying on vast databases of personal facial data, new AI models are emerging that can perform recognition tasks with minimal direct access to raw, identifiable images. Techniques like federated learning allow AI models to be trained on decentralized data without it ever leaving individual devices. Furthermore, homomorphic encryption enables computations on encrypted data, ensuring privacy throughout the recognition process. Differential privacy adds noise to data, further obscuring individual identities while maintaining statistical utility for AI training. This evolution underscores a commitment to ethical AI and a future where powerful 3D facial recognition coexists harmoniously with robust individual privacy, reshaping industry standards and user expectations.
Edge Computing Biometrics Expansion
The Global 3D Facial Recognition Market sees a significant trend in Edge Computing Biometrics Expansion, reflecting a strategic shift towards decentralized data processing. Instead of sending all biometric data to distant cloud servers for authentication, 3D facial recognition systems are increasingly incorporating processing capabilities directly at the device or local network edge. This proximity dramatically reduces latency, making real time authentication faster and more reliable, especially critical for applications like access control or contactless payments.
Furthermore, processing data locally enhances privacy and security. Sensitive biometric information is less exposed to interception risks associated with constant transmission over wide area networks. This localized processing aligns with stricter data protection regulations globally, fostering greater trust in 3D facial recognition technology by minimizing the need for extensive data transfers. The trend optimizes performance, strengthens security, and improves user experience across various industries adopting 3D facial recognition solutions.
What are the Key Drivers Shaping the Global 3D Facial Recognition Market
Rising Demand for Enhanced Security and Biometric Authentication
Advancements in AI and 3D Sensing Technologies
Increasing Adoption Across Diverse Industries (e.g., Healthcare, Retail, Automotive)
Growth in Government Initiatives and Smart City Projects
Expansion of Contactless and Touchless Technologies
Rising Demand for Enhanced Security and Biometric Authentication
Rising demand for enhanced security and biometric authentication is a significant driver in the global 3D facial recognition market. Organizations and individuals increasingly seek robust solutions to protect assets, data, and privacy against sophisticated threats. Traditional authentication methods like passwords and PINs are vulnerable to breaches and inconvenient. Biometric authentication, particularly 3D facial recognition, offers a superior alternative. It provides a highly accurate, spoof-resistant, and touchless verification process. The technology's ability to capture detailed facial features, including depth and contours, makes it exceptionally reliable for identity verification across various applications. From secure access control in corporate environments to frictionless payment systems and personal device unlocking, the need for advanced, user-friendly security fuels its adoption. This growing preference for stronger, more convenient authentication is propelling the expansion of the 3D facial recognition market.
Advancements in AI and 3D Sensing Technologies
Innovations in artificial intelligence and three dimensional sensing technologies are significantly propelling the global 3D facial recognition market. Enhanced AI algorithms power more sophisticated facial analysis, enabling higher accuracy and faster processing of complex 3D data. Deep learning models can now discern intricate facial features, expressions, and even detect spoofing attempts with remarkable precision. Concurrently, advancements in 3D sensors provide richer, more detailed depth information, overcoming limitations of 2D systems regarding lighting and pose variations. This synergistic evolution allows for robust identity verification across diverse environments, from consumer electronics to critical infrastructure. The continuous refinement of these technologies makes 3D facial recognition an increasingly reliable and indispensable security solution, driving widespread adoption across various sectors.
Increasing Adoption Across Diverse Industries (e.g., Healthcare, Retail, Automotive)
Increasing adoption across diverse industries signifies the expanding utility of 3D facial recognition beyond its traditional applications. In healthcare, it is revolutionizing patient identification, securing medical records, and enabling contactless access to facilities, enhancing both privacy and efficiency. Retail leverages this technology for personalized customer experiences, preventing fraud at points of sale, and optimizing store layouts based on foot traffic analysis. The automotive sector integrates 3D facial recognition for driver monitoring systems, ensuring safety by detecting fatigue or distraction. It also personalizes in car settings, unlocks vehicles, and authorizes payments. This widespread integration into various sectors underscores the technology's versatility, reliability, and its ability to address critical needs like security, personalization, and operational streamlining. The broad applicability fuels significant market expansion as more industries recognize its transformative potential.
Global 3D Facial Recognition Market Restraints
Privacy Concerns and Data Security Risks
Privacy concerns and data security risks significantly hinder the global 3D facial recognition market. The collection and storage of highly sensitive biometric data raise substantial worries among individuals and advocacy groups about potential misuse. There’s a widespread fear that this personal information could be compromised through cyberattacks leading to identity theft or unauthorized surveillance. Governments are increasingly implementing stringent data protection regulations such as GDPR and CCPA which impose significant compliance burdens and potential penalties on companies operating in this space. Businesses grapple with the challenge of ensuring robust security measures and transparent data handling practices to build user trust. Without strong assurances and clear ethical guidelines the reluctance of consumers and organizations to adopt these technologies will persist impeding broader market acceptance and growth.
High Implementation Costs and Integration Challenges
High implementation costs and integration challenges significantly impede the widespread adoption of global 3D facial recognition. Developing and deploying these sophisticated systems demands substantial financial investment for advanced hardware, specialized software, and expert personnel. The intricate 3D sensors, powerful processing units, and robust data storage solutions required contribute to a high initial capital outlay.
Furthermore, seamless integration into existing infrastructure presents a complex hurdle. Organizations often operate diverse legacy systems that may not readily accommodate the unique technical requirements of 3D facial recognition. Ensuring interoperability, data synchronization, and system compatibility necessitates extensive customization, development work, and rigorous testing. This integration complexity translates into longer deployment times and increased operational expenses, deterring potential adopters, especially smaller entities or those with budget constraints. The learning curve for personnel to manage and maintain these complex systems also adds to the overall cost burden and operational friction.
Global 3D Facial Recognition Market Opportunities
Scaling 3D Facial Recognition for Enhanced Liveness Detection and Enterprise-Grade Authentication
The opportunity in scaling 3D facial recognition centers on fulfilling critical global demand for superior security and seamless access. Expanding this technology enables profoundly enhanced liveness detection, directly combating sophisticated spoofing attempts such as deepfakes, advanced masks, and presentation attacks. This capability is paramount for securing digital identities and high value transactions across industries, from finance to government services, by ensuring the physical presence of an authorized user.
Furthermore, scaling facilitates the widespread implementation of enterprise grade authentication. This provides organizations with highly reliable, secure, and convenient biometric solutions that meet stringent requirements for employee access, customer verification, and secure transactions across diverse platforms and physical locations. It offers a frictionless yet ironclad layer of security. This strategic expansion drives market penetration, particularly in regions experiencing rapid digital transformation and heightened security needs, transforming how entities verify and secure interactions on a global scale.
Driving Seamless Integration of 3D Facial Biometrics for Smart Retail & Personalized Customer Engagement
The opportunity hinges on integrating cutting edge 3D facial biometrics seamlessly into the smart retail ecosystem, fundamentally reshaping customer interactions. This advanced technology enables retailers to transition beyond conventional shopping experiences to hyper personalized engagement. Imagine customers enjoying effortless recognition upon store entry, receiving real time product recommendations tailored to their preferences, or experiencing expedited, cardless checkout processes. This integration significantly enhances operational efficiency, bolsters security measures against fraud, and facilitates accurate age verification for regulated products. It empowers businesses to gain invaluable insights into foot traffic patterns and product interactions, optimizing store layouts and inventory management. By creating a friction free, secure, and uniquely tailored shopping journey, this innovation fosters deeper customer loyalty and drives substantial value for both consumers and businesses within an evolving global market.
Global 3D Facial Recognition Market Segmentation Analysis
Key Market Segments
By Application
- •Security and Surveillance
- •Access Control
- •Healthcare
- •Retail
- •Banking and Financial Services
By Technology
- •Structured Light
- •Time-of-Flight
- •Depth Sensors
- •Stereo Vision
- •3D Model-Based
By End Use
- •Government
- •Commercial
- •Residential
- •Automotive
- •Healthcare
By Component
- •Cameras
- •Software
- •Processors
- •Sensors
- •Lighting
Segment Share By Application
Share, By Application, 2025 (%)
- Security and Surveillance
- Access Control
- Banking and Financial Services
- Healthcare
- Retail
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Why is Security and Surveillance dominating the Global 3D Facial Recognition Market?
Security and Surveillance applications hold the largest share within the market due to the critical need for enhanced identification and access control across numerous sectors. The advanced accuracy and anti spoofing capabilities of 3D facial recognition systems provide a robust solution for public safety, border control, and corporate security. This segment benefits significantly from government initiatives, smart city projects, and the increasing demand for secure environments in commercial and residential settings, making it an indispensable tool for preventing unauthorized access and monitoring.
What role do diverse technology segments play in expanding market applications?
The market thrives on a variety of technology segments, including Structured Light, Time of Flight, and Depth Sensors, each offering unique advantages for different use cases. While some technologies excel in high precision indoors, others are more suited for outdoor environments or real time processing. This technological diversity enables 3D facial recognition to adapt to specific requirements in healthcare for patient identification, retail for personalized experiences, and banking for secure transactions, thereby broadening its applicability beyond traditional security contexts and fostering innovation.
How does the market's end use diversification contribute to its overall development?
The widespread adoption of 3D facial recognition across diverse end use sectors such as Government, Commercial, Residential, Automotive, and Healthcare illustrates the market's robust development. While government and commercial sectors are early adopters for security, the burgeoning integration into automotive systems for driver authentication and healthcare for secure patient access highlights the technology's versatile utility. This broad spectrum of end uses ensures sustained growth by addressing distinct needs for convenience, safety, and efficiency across multiple industries, fostering continued investment and innovation.
What Regulatory and Policy Factors Shape the Global 3D Facial Recognition Market
The global 3D facial recognition market navigates a fragmented yet increasingly stringent regulatory landscape primarily focused on privacy and data protection. Europe’s General Data Protection Regulation GDPR sets a high bar for biometric data processing requiring explicit consent and robust security. Similarly, China’s Personal Information Protection Law PIPL imposes strict rules on collection, usage, and cross-border transfers of sensitive personal information including biometrics. In the United States, a patchwork of state specific laws like the Illinois Biometric Information Privacy Act BIPA and the California Consumer Privacy Act CCPA govern data handling, leading to compliance complexities. Concerns over ethical implications, algorithmic bias, and potential for mass surveillance drive calls for moratoria or outright bans in some municipalities and nations. Regulators worldwide are scrutinizing transparency, accountability, and the societal impact of this technology, often emphasizing principles of necessity and proportionality. The absence of harmonized global standards presents significant challenges for market participants.
What New Technologies are Shaping Global 3D Facial Recognition Market?
The global 3D facial recognition market is experiencing transformative innovations. Advancements in artificial intelligence and machine learning are significantly boosting accuracy and liveness detection capabilities, effectively countering sophisticated spoofing attempts. Emerging multispectral imaging and time of flight sensors provide richer, more reliable depth data, enhancing performance across diverse lighting and angles. Edge computing is decentralizing processing, enabling faster on device authentication and bolstering privacy by reducing cloud dependence.
Integration with other biometrics is creating multimodal security solutions for heightened assurance. Miniaturized sensors are expanding applications into mobile devices and wearables. Developments in explainable AI address ethical concerns, promoting transparency and bias mitigation. The technology is increasingly being applied in healthcare for patient identification, automotive for driver monitoring, and smart cities for secure access. Further evolution includes robust identity verification in FinTech and seamless customer experiences in retail, pushing the boundaries of secure and convenient human machine interaction.
Global 3D Facial Recognition Market Regional Analysis
Global 3D Facial Recognition Market
Trends, by Region
Asia-Pacific Market
Revenue Share, 2025
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Dominant Region
Asia Pacific · 41.8% share
Asia Pacific dominates the global 3D facial recognition market, commanding a significant 41.8% market share. This leadership is fueled by several key factors. Rapid technological advancements across the region, particularly in China and South Korea, are driving innovation and adoption. Growing government initiatives for smart cities and public safety are also creating substantial demand. Furthermore, the increasing use of 3D facial recognition in consumer electronics, banking, and retail sectors, especially for secure authentication and personalized experiences, contributes significantly to this regional dominance. The large population base and expanding digital infrastructure further solidify Asia Pacific's position as the leading market for 3D facial recognition technologies.
Fastest Growing Region
Asia Pacific · 21.5% CAGR
Asia Pacific emerges as the fastest growing region in the global 3D facial recognition market, projected to expand at an impressive CAGR of 21.5% from 2026 to 2035. This surge is propelled by several key factors. Rapid urbanization and increasing smart city initiatives across countries like China, India, and South Korea are driving demand for advanced security solutions. Governments in the region are heavily investing in surveillance infrastructure and digital identity programs, recognizing the efficiency and accuracy of 3D facial recognition. Furthermore, the burgeoning e-commerce and fintech sectors are adopting this technology for secure payment authentication and user verification, enhancing customer experience and preventing fraud. The proliferation of smartphones equipped with 3D sensing capabilities also fuels market growth, making the technology more accessible and widely adopted in consumer electronics and access control systems.
Top Countries Overview
The U.S. plays a pivotal role in the global 3D facial recognition market, driving innovation and adoption. Major tech companies and startups are developing advanced solutions for security, healthcare, and retail. While data privacy concerns persist, the U.S. market is characterized by significant investment and technological progress, influencing global trends and setting benchmarks for sophisticated biometric applications.
China dominates the global 3D facial recognition market, driven by extensive government surveillance needs and massive private sector investment. Its companies, like SenseTime and Megvii, are leading innovators, benefiting from a vast domestic market for data collection and algorithm training. This leadership, however, also fuels international debate regarding privacy, ethics, and potential misuse of this powerful technology on a global scale.
India is emerging as a significant player in the global 3D facial recognition market. Rapid digitalization, government initiatives like Aadhaar, and increasing use in security and smart devices are driving adoption. The market benefits from a large domestic user base and growing R&D capabilities, positioning India as both a substantial consumer and potential innovator in this burgeoning technology.
Impact of Geopolitical and Macroeconomic Factors
Geopolitical tensions are a double edged sword. Increased surveillance needs, often driven by terrorism concerns or border control, boost demand for advanced facial recognition, including 3D technology. However, growing public and governmental scrutiny regarding privacy and human rights, especially in democratic nations, could lead to stricter regulations, potentially hampering market growth and innovation for certain applications. Export controls on advanced surveillance tech to authoritarian regimes might also impact market reach.
Macroeconomically, global economic growth and technological advancements are key drivers. Rising disposable incomes in emerging economies fuel smart city initiatives and consumer electronics with 3D facial recognition. Conversely, economic downturns could lead to reduced government spending on security infrastructure and corporate investment in new technologies. Inflationary pressures might increase development costs, while currency fluctuations could impact profitability for international players.
Recent Developments
- March 2025
IDEMIA launched its new 'FacePass Pro' solution, integrating advanced 3D liveness detection with enhanced accuracy for high-security access control. This product aims to reduce spoofing attempts significantly in enterprise and government sectors.
- February 2025
Paravision announced a strategic partnership with a major airport security provider to deploy its 3D facial recognition technology for faster and more secure passenger processing. This collaboration focuses on streamlining boarding and identity verification at multiple international terminals.
- April 2025
Sensory acquired a specialized startup focused on edge-AI for biometric processing, strengthening its portfolio in on-device 3D facial recognition. This acquisition will enable Sensory to offer more robust and privacy-preserving solutions for consumer electronics.
- January 2025
iProov introduced an innovative 'Dynamic Liveness' feature for its 3D facial verification platform, utilizing real-time subtle user interactions to confirm genuine presence. This enhancement further fortifies their technology against sophisticated deepfake attacks.
- May 2025
Thales unveiled a new multi-modal biometric solution incorporating enhanced 3D facial recognition alongside iris and fingerprint scanning for critical infrastructure protection. This strategic initiative targets comprehensive security layers for national borders and essential services.
Key Players Analysis
Key players like IDEMIA, Gemalto, and Thales are market leaders, leveraging their expertise in biometric security and identity verification. Companies like Ayonix and FaceFirst specialize in real time recognition and advanced analytics, driving innovation in accuracy and speed. Cognitec and Omron offer robust software and hardware solutions, respectively, catering to diverse industry needs. Sensory focuses on embedded solutions, while iProov excels in liveness detection, enhancing security. Paravision offers high performance algorithms. Strategic initiatives include expanding applications in access control, law enforcement, and smart cities, fueled by rising security concerns and demand for frictionless authentication, driving market growth.
List of Key Companies:
- Gemalto
- IDEMIA
- Ayonix
- FaceFirst
- Cognitec
- Omron
- Paravision
- Sensory
- Thales
- iProov
- Verint
- NEC
- Techno Fusion
- Anyvision
- Facebank
Report Scope and Segmentation
| Report Component | Description |
|---|---|
| Market Size (2025) | USD 8.7 Billion |
| Forecast Value (2035) | USD 54.2 Billion |
| CAGR (2026-2035) | 16.4% |
| Base Year | 2025 |
| Historical Period | 2020-2025 |
| Forecast Period | 2026-2035 |
| Segments Covered |
|
| Regional Analysis |
|
Table of Contents:
List of Figures
List of Tables
Table 1: Global 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 2: Global 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 3: Global 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 4: Global 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 5: Global 3D Facial Recognition Market Revenue (USD billion) Forecast, by Region, 2020-2035
Table 6: North America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 7: North America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 8: North America 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 9: North America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 10: North America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Country, 2020-2035
Table 11: Europe 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 12: Europe 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 13: Europe 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 14: Europe 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 15: Europe 3D Facial Recognition Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035
Table 16: Asia Pacific 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 17: Asia Pacific 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 18: Asia Pacific 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 19: Asia Pacific 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 20: Asia Pacific 3D Facial Recognition Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035
Table 21: Latin America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 22: Latin America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 23: Latin America 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 24: Latin America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 25: Latin America 3D Facial Recognition Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035
Table 26: Middle East & Africa 3D Facial Recognition Market Revenue (USD billion) Forecast, by Application, 2020-2035
Table 27: Middle East & Africa 3D Facial Recognition Market Revenue (USD billion) Forecast, by Technology, 2020-2035
Table 28: Middle East & Africa 3D Facial Recognition Market Revenue (USD billion) Forecast, by End Use, 2020-2035
Table 29: Middle East & Africa 3D Facial Recognition Market Revenue (USD billion) Forecast, by Component, 2020-2035
Table 30: Middle East & Africa 3D Facial Recognition Market Revenue (USD billion) Forecast, by Country/ Sub-region, 2020-2035