Total estimated economic value: $600B
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In key sectors, specific domains offer China the highest potential economic value from AI.
$80B
Enterprise
software
$25B
Healthcare and life sciences
$115B
Manufacturing
$380B
Automotive, transportation, and logistics
Top unlocks: Technology, data, regulation
Total of high-value domains:
$25B
Healthcare and life sciences
3
Apply machine learning algorithms to medical images or medical data to predict diagnostic outcomes and support clinical decisions, reducing cost of diagnostics while improving reliability and accuracy.
Clinical-decision support
$5B
2
Use natural-language processing and machine learning to collect and analyze data to predict clinical-trial outcomes and optimize clinical-study design, reducing time and cost of clinical trials and speeding up time to market of new drugs.
Clinical-trial optimization
$10B
1
Use AI technology for rapid target discovery and novel molecules design for different identified drug targets, speeding up new-drug discovery and time to market and reducing cost of drug R&D.
Drug discovery
$10B
Source: Expert interviews and McKinsey analysis, October–November 2021
$335B
Autonomous driving
Use computer vision, machine learning, and neural networks to enable vehicles to map surroundings, detect and predict road traffic, and make real-time driving decisions, reducing number of accidents and costs.
1
$30B
Personalized updates
Apply recommendation techniques on connected-car data (vehicle operations, driver behavior, entertainment interaction) to tailor recommendations for hardware and software updates and driving experience.
2
$15B
Fleet asset management
Apply operations-research optimizers on connected fleet’s IoT data to optimize fleet operations and route planning, reducing fuel consumption and maintenance cost.
3
Automotive, transportation, and logistics
$380B
Total of high-value domains:
Top unlocks: Technology, data
$15B
Product R&D
Leverage digital twins and machine learning in new-product-design testing and validation, rapidly predicting product-design outcomes, reducing R&D costs, and potentially creating new products and improving product quality.
1
$100B
Process-design R&D
Leverage digital twins and machine learning to simulate, test, and validate manufacturing-process outcomes before commencement of mass production, reducing significant R&D costs in manufacturing-process design.
2
Manufacturing
$115B
Total of high-value domains:
Top unlocks: Technology, data, talent
Prev
$45B
Data & middleware
Adopt cloud data warehouses to reduce operations and maintenance costs; leverage AI algorithm APIs to streamline production of core AI models; and adopt MLOps to automatically deploy and maintain optimal models.
1
$35B
SaaS applications
Apply facial recognition, computer vision, and natural-language processing to process images and voice data, and use machine learning algorithms to make predictions and decisions across enterprise functions in finance and tax, human resources, supply chain, and cybersecurity.
2
Enterprise software
$80B
Total of high-value domains:
Top unlocks: Talent, regulation
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