Overview:
As technology continues to advance, the landscape of emerging AI devices and future form factors is evolving rapidly. This report delves into the innovative devices that are redefining the way we interact with AI, including wearables, smart home, and robotics. By exploring the potential applications and market opportunities for these cutting-edge devices, we can gain valuable insights into the future of human-AI interaction and its impact on our daily lives. Additionally, this report highlights the key startups driving innovation in the AI device space and the potential challenges and considerations associated with the widespread adoption of these technologies.
Table of Contents:
- Definition of AI Devices
- Device Categories at the AI Revolution Forefront
- Robots and Humanoids
- Wearables
- Smartphone of the Future
- Smart Home
- Key Trends in AI Devices
- Reimaging Interfaces
- Future Form Factors
- Challenges
- Startup Landscape Short Profiles of Key Startups
Number of Pages: 22
Publication Date: May 2024
Overview
Qualcomm Technologies announced the launch of the Snapdragon X Plus platform on April 24, 2024. The Snapdragon X Plus is the second chip under Qualcomm’s Snapdragon X series, which was announced in October 2023 as the company’s flagship ARM-based processor for Windows PCs.
This report details learnings by Counterpoint Research analysts during recent events hosted by Qualcomm, our analysis of the key selling point, positioning and competitiveness of the Snapdragon X series, and expected market implications in the fledging AI PC sector. We also preview the potential key AI features and use case enhancements that are likely to arrive on the first Qualcomm Snapdragon X series PCs, set to arrive in stores by mid-2024.
Table of Contents
- Introduction
- CPU – Best in Class Raw Computing Power, and Power Efficiency
- GPU – Top Graphics for Immersive Entertainment
- AI – Built for AI Workloads on the Edge
- Other Key Features – Camera, Audio, Connectivity and Security
- Competitive Strengths and Weaknesses
- Market Implications
- What Next?
- Authors, Copyright, User Agreement, and Other General Information
Number of Pages: 14
Publication Date: May 2024
Overview:
Since the debut of ChatGPT in November 2022, there has been a significant shift in how artificial intelligence (AI) is perceived and utilized, moving beyond its initial role as a mere chatbot service to becoming deeply ingrained in every facet of businesses, whether targeting enterprises or consumers. ChatGPT has enabled SaaS companies to deliver highly tailored outcomes for enterprises resonating with specific enterprise needs based on their unique data footprint requirements compared with the one-size-fits-all solution provided before AI became thoroughly enmeshed with their solutions. The potential of the Indian economy in the SaaS domain, predicted to reach a staggering $1 trillion by 2030, is underscored by its swift adaptation to advanced technologies. Notably, there has been an impressive 130% surge in startups focused on AI/ML, IoT, Blockchain, and AR/VR in just five years.
One such case is SAP Labs in India, which aims to integrate AI within its all-suite of services catering to all business processes across the value chain, from finance and HR to marketing and supply chain. SAP’s business AI is making businesses more effective and helping them grow.
Number of Pages: 4
Published Date: October 2023
Overview:
While ChatGPT continues to impress globally, China is actively taking substantial steps towards narrowing the gap with the US. The country’s largest domestic tech companies are joining the hyped-up LLM development race. As a result, following Baidu’s launch of the AI chatbot Ernie Bot in March, many players swiftly released their own LLM products.
This research report provides an in-depth exploration into the burgeoning market of large language model (LLM) vendors in China, a field demonstrating significant growth and dynamism. As the Chinese technology sector increasingly invests in the development and application of AI, understanding the landscape of LLM vendors becomes ever more critical.
We delve into the unique strategies and strengths of various LLM vendors, including tech giants like Baidu, Alibaba, and SenseTime, among others. It further investigates how these vendors are integrating LLMs into their existing ecosystems to create substantial added value.
Amid ongoing geopolitical tensions and technological restrictions, this report also sheds light on the challenges faced by these vendors and how they navigate them. Ultimately, this report aims to offer a comprehensive view of China's LLM vendors, their operational strategies, market positioning, and potential for future growth, contributing to a broader understanding of China's AI industry.
Table of Contents:
- Introduction 4
- China Generative LLM Vendors Landscape Overview 4
- Four Major Driving Forces 5
- Case Studies 7
- US vs China LLM Competitive Analysis 18
- China’s Triple Shortage
- China’s Triple Advantage
- China’s Regulations on LLMs
- Conclusion
Number of Pages: 23
Published Date: July 2023
Overview:
An in-depth analysis of Tesla’s advanced autonomous driving technology, its advantages and limitations compared to its competitors, and the likelihood of it achieving full self-driving capability in 2021
Table of Contents:
- Corporate Snapshot
- Tesla Key Strategies
- Products Roadmap
- Tesla Autonomous Driving (AD) Milestones
- Tesla AD Technology Selection
- Tesla AD Key Advantages
- AD Target (Future) Markets
- International Presence
- Key Competitive Strengths
- Tesla AD Challenges
- Prediction of Tesla Full Self Driving (FSD) Launch Scheduled in 2021
- Key Takeaways
Number of Pages: 29
Published Date: July 2021
Overview:
China’s booming logistics industry is being driven by rapid expansion of online shopping, yet compared to the US and Japan, there is far more opportunity to improve industry operating efficiency.
Cainiao is Alibaba’s logistics arm, and is focusing on bringing innovative solutions to the sector. It is a strong example of rising development in fourth party logistics (4PL) in China. The company is focusing its technology on resource sharing patterns, optimization, and inter-organizational collaboration.
This report provides an overview on how Cainiao is leveraging AI to deliver services from express delivery, warehouse fulfilment, last-mile delivery through to rural and cross-border logistics.
Tabe of Contents:
- Corporate Snapshot
- Company Milestones
- Cainiao’s Role in Alibaba’s e-Commerce Empire
- Alibaba’s Key AI Technologies Overview
- Cainiao’s Key AI Technologies
- Strategy in Smart Logistics
- Target Markets/Products and Solutions
- Clients & Partnerships
- Competitive Strengths
- Comparative Analysis Between Cainiao and JD Logistics
- Future Market Planning
- Challenges
- Key Takeaways
Number of Pages: 23
Author: Wei Sun
Published Date: November 2020
Overview:
AI is seen as a solution to addressing long term challenges facing China’s healthcare sector including short supply of doctors, urban/rural imbalances and an aging population. Government initiatives are a driving force behind AI+Healthcare growth and Tencent was selected as one of the inaugural members of it’s AI ‘national team’; it is now building a national, open AI platform for medical imaging and diagnostics.
This report provides an overview of China’s AI+Healthcare ecosystem and applications, with a focus on Tencent’s key AI technologies, products and solutions, market presence and competitive advantages in the sector.
Table of Contents:
- Corporate Snapshot
- Why Tencent Prioritizes AI+Healthcare
- 5 Key AI+Healthcare Applications
- China’s AI+Healthcare Ecosystem
- Milestones
- Key Strategies
- Key AI Technologies in Healthcare
- AI Products and Solutions
- Clients & Partnerships
- AI+Healthcare Startup Investments
- Competitive Strengths in AI+Healthcare
- Challenges
- Key Takeaways
Number of Pages: 26
Author: Wei Sun
Published Date: November 2020
Overview:
AI-based emotion recognition (ER) technologies have become more widespread in China and are beginning to replace traditional methods across some applications. Similar to the west, the key methods employed by ER are: facial expression decoding, voice pattern analysis, body movement analysis, brainwave measurement, text interpretation and multi-modal analysis.
Interestingly, with less strict regulations on personal biometric data privacy than the US, we are seeing slightly different industry growth trends China, with customer service, healthcare/well-being and VPA (chatbots) seeing the most initial takeup.
Table of Contents:
- General Overview – Key Methods
- Market Segments & Applications
- ER Across Verticals in China
- Top ER Vertical Markets in China
- Use Cases by Industry
- Education
- AI Chatbot
- Customer Service
- Fraud Detection
- Surveillance & Security
- Healthcare & Well-Being
- General
- Key Issues & Challenges
- Key Trends & Drivers
- Conclusion
Number of Pages: 28
Author: Wei Sun
Published Date: October 2020
Overview:
AI-based emotion recognition (ER) technologies have become more widespread in China and are beginning to replace traditional methods across some applications. Similar to the west, the key methods employed by ER are: facial expression decoding, voice pattern analysis, body movement analysis, brainwave measurement, text interpretation and multi-modal analysis.
Interestingly, with less strict regulations on personal biometric data privacy than the US, we are seeing slightly different industry growth trends China, with customer service, healthcare/well-being and VPA (chatbots) seeing the most initial takeup.
Table of Contents:
- General Overview – Key Methods
- Market Segments & Applications
- ER Across Verticals in China
- Top ER Vertical Markets in China
- Use Cases by Industry
- Education
- AI Chatbot
- Customer Service
- Fraud Detection
- Surveillance & Security
- Healthcare & Well-Being
- General
- Key Issues & Challenges
- Key Trends & Drivers
- Conclusion
Number of Pages: 28
Author: Wei Sun
Published Date: October 2020
