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2022年新兴技术趋势 2022Emerging technology trends.pdf
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2022年新兴技术趋势 2022Emerging technology trends.pdf
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MARKET AND LEGAL INSIGHTS FOR INNOVATORS
2022 EMERGING
TECHNOLOGY
TRENDS
PERKINS COIE LLP | 2
CONTENTS
3 | Transformational Technology: A Look Ahead
4 | AI, Machine Learning & Quantum Computing
15 | Cloud Computing & Distributed Infrastructure
27 | Digital Media & Entertainment
37 | Greentech
48 | Healthtech & Medtech
60 | Mobile Wireless Technology
73 | Privacy & Security
86 | Retail & E-Commerce
99 | Robotics & Autonomous Systems
110 | Spacetech
119 | Reference List
2022 EMERGING TECHNOLOGY TRENDS
MARKET AND LEGAL INSIGHTS FOR INNOVATORS
2022 EMERGING TECHNOLOGY TRENDS | MARKET AND LEGAL INSIGHTS FOR INNOVATORS PERKINS COIE LLP | 3
TRANSFORMATIONAL TECHNOLOGY: A LOOK AHEAD
Technology—and the innovative deployment of new technologies—has increasingly shaped the way we live
and interact with the environment. The following report examines some of the key developments, trends, and
implications of 10 emerging and nascent technologies that are not only disrupting today’s markets, but are
also influencing and shaping those of tomorrow.
• Artificial Intelligence, Machine Learning
& Quantum Computing
• Cloud Computing & Distributed Infrastructure
• Digital Media & Entertainment
• Greentech
• Healthtech & Medtech
• Mobile Wireless Technology
• Privacy & Security
• Retail & E-Commerce
• Robotics & Autonomous Systems
• Spacetech
Disruption
Over the past two decades, new business models have emerged as a result of the proliferation and evolution
of technologies and transformation, disrupting traditional ways of working and enabling the development of
new products and services. While still in their early stages, these disruptions are ongoing.
The Pandemic Has Accelerated the Pace of Change
COVID-19 and the subsequent response measures have fast-tracked the transformation and adoption of
innovative technology. Since the pandemic created, exacerbated, or revealed challenges that threatened
individuals’ health and livelihoods, technology companies set out to invent better solutions that address these
problems now and into the future.
The Convergence of Advanced Technologies Will Continue to Drive Growth
As advanced technologies expand and evolve, they are also converging. The combination of technologies
once considered separate is expected to foster growth and economic development in the next decade. This
includes the disruption of existing business models and the creation of entirely new business categories.
New technologies are designed to make businesses safer and more secure, while reducing costs and
environmental impact.
Understanding the Implications—for Industry, Society, and the Law
Innovative technologies also create unique challenges—including legal and regulatory requirements—that
require foresight and preparation. Breakthrough developments in technology are helping to grow our
economy while also reshaping society and the environment. Each section of this report touches on key areas
of technological development, industry signals, broader societal impacts, and the related legal implications.
2022 EMERGING TECHNOLOGY TRENDS | MARKET AND LEGAL INSIGHTS FOR INNOVATORS
PERKINS COIE LLP | 5
AI, MACHINE LEARNING & QUANTUM COMPUTING
SECTOR OVERVIEW
Economists and commentators are split on the economic
impact of AI. On the one hand, the technology could add
as much as $13 trillion to the global economy by 2030,
representing a significant source of growth for gross domestic
product. On the other hand, the purpose of deploying AI is
typically to reduce expenses, which include the cost of labor.
What Are AI, ML, and Quantum Computing?
Artificial intelligence (AI) is the ability of machines to mimic
human intelligence to learn, reason, and perceive. AI is
divided into two categories: narrow and general. Narrow AI
refers to the AI systems that are developed within a narrow
domain of knowledge, such as facial recognition and natural
language processing. These narrow systems cannot operate
or extrapolate outside the narrow domain knowledge in which
they are developed.
General AI is an AI system capable of artificial human
equivalent intelligence, with the ability to think, learn, plan,
and act when faced with novel problems. It is not limited to
a narrow domain of knowledge. Machines do not yet have
an intelligence equivalent to that of humans, so general AI is
currently a theoretical form of technology.
Machine learning (ML) involves the capability of machines to
“learn from data rather than through explicit programming,”
according to IBM. ML techniques are oen used in AI systems.
Quantum computing utilizes the phenomena of quantum
mechanics to process information in qubits, based on
quantum properties of superposition and entanglement.
Because of these properties, quantum computers may prove
far more powerful than conventional computers. They
operate in multiple states all at once rather than using the
binary language of zeros and ones, and this gives them the
ability to solve complex problems instead of relying on
binary calculations.
Associated Sectors
• Agriculture
• Financial Services
• Digital Media and
Entertainment
• Cloud Technology Services
• Transportation
• Advertising
• Energy
• Telecom (including
5G Wireless)
Why Is AI Important?
Artificial intelligence imitates human capabilities effectively,
efficiently, and at a low cost, thus representing a labor-saving
technology. AI’s reliability could also reduce losses and errors
in many settings, from industrial applications to consumer
technology. For example, if self-driving cars become
consistently safer than human-driven cars, the owners of
those cars may pay less in auto insurance premiums.
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