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Dublin, June 30, 2020 (GLOBE NEWSWIRE) -- The "Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

From predicting what will happen with 5G technology in the next few years to identifying how 5G will transform business, this report is must-have research for any ICT company looking to expand business within the region. This report represents the most comprehensive research available focused on the role and impact of 5G, AI, and IoT technologies in Asia Pac. It also provides an analysis about how these technologies will have a positive feedback loop effect with smart cities.

This report identifies market opportunities for deployment and operations of key technologies within the Asia Pac region. While the biggest markets China, Korea, and Japan often get the most attention, it is important to also consider the fast-growing ASEAN region including Indonesia, Malaysia, Philippines, Singapore, Thailand, Brunei, Laos, Myanmar, Cambodia, and Vietnam. In fact, many lessons learned in leading Asia Pac countries will be applied to the ASEAN region. By way of example, H3C Technologies Co. is planning to offer a comprehensive digital transformation platform within Thailand that includes core cloud and edge computing, big data, interconnectivity, information security, IoT, AI, and 5G solutions.

The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer-term, researchers see many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics. AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service.

Data analytics at the edge of networks is very different from centralized cloud computing as data is contextual (example: collected and computed at a specific location) and may be processed in real-time (e.g. streaming data) via big data analytics technologies. Edge Computing represents an important ICT trend in which computational infrastructure is moving increasingly closer to the source of data processing needs. This movement to the edge does not diminish the importance of centralized computing such as is found with many cloud-based services. Instead, computing at the edge offers many complementary advantages including reduced latency for time-sensitive data, lower capital costs, and operational expenditures due to efficiency improvements.

For both core cloud infrastructure and edge computing equipment, the use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery, and support models. The term for AI support of IoT (or AIoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.

AI, IoT, and 5G will provide the intelligence, communications, connectivity, and bandwidth necessary for highly functional and sustainable smart cities market solutions. These technologies in combination are poised to produce solutions that will dramatically transform all aspects of ICT and virtually all industry verticals undergoing transformation through AI integration with enterprise, industrial, and consumer product and service ecosystems. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

In addition, these technologies are destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery, and support models. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AI, IoT, and 5G (e.g. a term coined as AIoT5G). For example, AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Smart cities in particular represent a huge market for Asia Pac digital transformation through a combination of solutions deployed urban environments that are poised to transform the administration and support of living and working environments. Accordingly, Information and Communications Technologies (ICT) are transforming at a rapid rate, driven by urbanization, the industrialization of emerging economies, and the specific needs of various smart city initiatives. Smart city development is emerging as a focal point for growth drivers in several key ICT areas including 5G, AI, IoT, and the convergence of AI and IoT known as the Artificial Intelligence of Things or simply AIoT.

Sustainable smart city technology deployments depend upon careful planning and execution as well as monitoring and adjustments as necessary. For example, feature/functionality must be blended to work efficiently across many different industry verticals as smart cities address the needs of disparate market segments with multiple overlapping and sometimes mutually exclusive requirements. This will stimulate the need for both cross-industry coordination as well as orchestration of many different capabilities across several important technologies.

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Report Benefits

Key Topics Covered

1. Executive Summary

2. Introduction2.1 Digital Transformation in Asia Pac2.2 Technology-Driven Transformation2.2.1 Fifth Generation (5G) Cellular2.2.2 Artificial Intelligence2.2.3 Edge Computing2.2.4 Internet of Things2.2.5 Artificial Intelligence of Things

3. 5G Market Outlook3.1 Evolution of LTE to 5G Networks3.1.1 LTE Advanced3.1.2 Peer-to-Peer Communications: LTE Direct3.1.3 LTE Advanced Pro3.1.4 5G Network Deployment3.2 5G Infrastructure3.3 5G Capabilities3.3.1 Scalability for Machine Communications3.3.2 Optimizing Network, Application, and Service Needs3.4 5G Applications and Services3.4.1 Enhanced Mobile Broadband3.4.2 Ultra-reliable Low-latency Communications3.4.3 Massive Machine-type Communications

4. Artificial Intelligence Market Outlook4.1 AI Technology Matrix4.1.1 Machine Learning4.1.2 Natural Language Processing4.1.3 Computer Vision4.1.4 Speech Recognition4.1.5 Context-Aware Processing4.1.6 Artificial Neural Networks4.1.7 Predictive APIs4.1.8 Autonomous Robotics4.2 AI Technology Readiness4.3 Machine Learning APIs4.3.1 IBM Watson API4.3.2 Microsoft Azure Machine Learning API4.3.3 Google Prediction API4.3.4 Amazon Machine Learning API4.3.5 BigML4.3.6 AT&T Speech API4.3.7 Wit.ai4.3.8 AlchemyAPI4.3.9 Diffbot4.3.10 PredictionIO4.3.11 General Application Environment4.4 AI Technology Goals4.5 AI Tools and Approaches4.6 Emotion Detection with AI4.6.1 Facial Detection APIs4.6.2 Text Recognition APIs4.6.3 Speech Recognition APIs4.7 IoT Application and Big Data Analytics4.8 Data Science and Predictive Analytics4.9 AI in Edge Computing and 5G Networks4.10 Cloud Computing and Machine Learning4.11 Smart Machine and Virtual Twinning4.12 Factory Automation and Industry 4.04.13 Building Automation and Smart Workplace4.13.1 Cloud Robotics and Public Security4.14 Self-Driven Network and Domain-Specific Network4.15 Predictive 3D Design4.16 Market Solutions and Application Analysis4.16.1 AI Market Landscape4.16.2 AI Application Delivery Platform4.16.3 AIaaS and MLaaS4.16.4 Enterprise Adoption and External Investment4.16.5 Enterprise AI Drive Productivity Gains4.16.6 AI Patent and Regulatory Framework4.16.7 Value Chain Analysis4.16.8 IoT Ecosystem4.16.9 AI Use Case Analysis4.16.10 Competitive Landscape Analysis

5. Internet of Things Market Outlook5.1 IoT Overview5.2 IoT Technology5.3 IoT Functional Structure5.4 IoT Network Architecture5.5 Economic Impact Analysis5.6 Market Factors and Challenges5.7 Machine Learning and other forms of Artificial Intelligence5.8 The Artificial Intelligence of Things5.9 Edge Computing and Fog Computing5.10 Digital Twin Technology5.11 5G to Drive Substantial IoT Network Expansion

6. Artificial Intelligence of Things Market Outlook6.1 The Artificial Intelligence of Things6.2 AIoT Market Analysis6.2.1 Equipment and Components6.2.2 Cloud Equipment and Deployment6.2.3 3D Sensing Technology6.2.4 Software and Data Analytics6.2.5 AIoT Platforms6.2.6 Deployment and Services6.3 AIoT Sub-Markets6.3.1 Supporting Device and Connected Objects6.3.2 IoT Data as a Service6.3.3 AI Decisions as a Service6.3.4 APIs and Interoperability6.3.5 Smart Objects6.3.6 Smart City Considerations6.3.7 Industrial Transformation6.3.8 Cognitive Computing and Computer Vision6.3.9 Consumer Appliances6.3.10 Domain-Specific Network Considerations6.3.11 3D Sensing Applications6.3.12 Predictive 3D Design6.4 AIoT Supporting Technologies6.4.1 Cognitive Computing6.4.2 Computer Vision6.4.3 Machine Learning Capabilities and APIs6.4.4 Neural Networks6.4.5 Context-Aware Processing6.5 AIoT Enabling Technologies and Solutions6.5.1 Edge Computing6.5.2 Blockchain Networks6.5.3 Cloud Technologies6.5.4 5G Technologies6.5.5 AIoT Digital Twin Technology and Solutions6.5.6 Smart Machines6.5.7 Cloud Robotics6.5.8 Predictive Analytics and Real-Time Processing6.5.9 Post Event Processing6.5.10 Haptic Technology

7. Digital Transformation in Asia Pac Market Analysis and Forecasts7.1 LTE and 5G Services in Asia Pacific7.1.1 LTE and 5G Services in APAC 2020-20257.1.2 LTE and 5G Services in APAC by Country 2020-20257.2 AI Technology in Asia Pacific7.2.1 AI Chipsets in Asia Pac 2020-20257.2.2 AI Technology in Asia Pacific 2020-20257.2.3 AI Technology in Asia Pacific by Country7.3 IoT Technology in Asia Pacific7.3.1 IoT Technology in APAC 2020-20257.3.2 IoT Technology in Asia Pacific by Country 2020-20257.4 AIoT Technology in Asia Pacific7.4.1 AIoT Technology in Asia Pacific 2020-20257.4.2 AIoT in APAC by Technology and Solution 2020-2025

8. Summary and Conclusions8.1 Transformation of ICT Networks8.2 Broadband Evolution is a Key Factor8.3 The Rise of Private Wireless Networks8.4 The Rise of Edge Networking and Computing8.5 Optimizing Data Management is Crucial8.6 Digital Transformation in Manufacturing and Industrial Automation

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