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The Key Digital Technologies of 2030

December 2020 | 43 pages | ID: KF97E24D831DEN
IDATE

US$ 2,750.00

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This study places the key digital technologies which will be adopted by 2030 into a broad yet deep perspective.

Its ranking of the most promising technologies in the period ahead is based on a diversity of sources. They range from existing third-party analyses and the founded viewpoints of the IDATE DigiWorld technology analyst to an extensive survey held among a community of technology experts and innovators.

Beyond the ranking, the study offers an analysis of the survey results, presenting aspects not only of the future of technology but also how they could affect business ecosystems and market uptake. It covers five domains: hardware, software/IT, network and telecommunications, user experiences and interfaces, and cybersecurity.
In all, over 50 technologies were considered as part of the survey.

To deepen the perspective even further, the report reassesses the evolution of previous forecasts in earlier IDATE studies of key technologies. The outcome is a roadmap of innovations which reflects the maturity and adoption levels of technologies in the time ahead.

PLAYERS

Accenture
Airbus
Alibaba
Amazon
Amgen
AT&T
Atos
AWS
Baiduank of Austria
Barclays
BASF
Bayer
Bell Labs
Biogen
BMW
Bosch
BP
BT
Cisco
CiviQ
Commonwealth Bank of Australia
Dassault Systems
Delft University of Technology
Dow Chemical
Dubai Electricity & Water Authority
DuPont
D-Wave
ExxonMobil
Fujitsu
Goldman Sachs
Google
Government of Switzerland
Honeywell
HPE
Huawei
IBM
IDQ
Intel
IonQ
JP. Morgan
Lockheed Martin
Microsoft
Mitsubishi
NASA
Nokia
Northrop Grumman
NSA
NVIDIA
QCI
QuintessenceLabs
Raytheon
Rigetti
UK Army
US Army
Volkswagen
1. EXECUTIVE SUMMARY

1.1. Key findings

2. METHODOLOGY AND DEFINITIONS

2.1. The concept of ‘key technology’
2.2. Study methodology

3. THE TOP 15: THE DEFINING TECHNOLOGIES OF 2030

3.1. Top 15 technologies
3.2. Quantum computing
  3.2.1. Concept and definitions
  3.2.2. Use cases
  3.2.3. Main players
3.3. Machine learning / deep learning / artificial intelligence
  3.3.1. Concept and definitions
  3.3.2. Growing features on the business and industrial landscape
  3.3.3. Entering a new decade of AI
3.4. Edge computing
  3.4.1. Concept and definition
  3.4.2. A large range of applications
  3.4.3. Main players

4. ANALYSIS BY TECHNOLOGY DOMAIN

4.1. Hardware in 2030
4.2. Software in 2030
4.3. The network in 2030
4.4. User experience in 2030
4.5. Cybersecurity in 2030

5. DIGITAL TECHNOLOGIES 2015-2030

5.1. Previous studies and forecasts
5.2. Innovation map
5.3. Mainstream technologies
5.4. Wild cards technologies
5.5. Usual suspects and late bloomers

6. ANNEX: THE 50 TECHNOLOGIES REVIEWED IN THE SURVEY

The 50 technologies reviewed

LIST OF TABLES AND FIGURES

The general study methodology
Top technologies of 2025
Top technologies of 2030, Top 10 technology families of 2030
List of qubits technology currently developed in the world
Multiple potential use cases and involvement of major industrial players
Players involved in quantum computing
List of verticals with an increase focus on machine learning / deep learning
Breakdown of verticals by number of implementations in edge computing
List of verticals with a growing focus on edge computing
Main players of edge computing market, by type
Ranking of hardware technologies
Hardware technologies: drivers and barriers, by technology
Ranking of software technologies
Software technologies: drivers and barriers, by technology
Ranking of network technologies
Network technologies: drivers and barriers, by technology
Ranking of UX technologies
UX technologies: drivers and barriers, by technology
Ranking of cybersecurity technologies
Cybersecurity technologies: drivers and barriers, by technology
Where are the technologies of 2030 positioned on the innovation map


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