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Global Decision Intelligence Market Report 2023: Advent of ML and AI to Maximize Potential of Decision Intelligence

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Dublin, April 19, 2023 (GLOBE NEWSWIRE) — The “Global Decision Intelligence Market (Platforms, Solutions (Integrated & Standalone), Services), Deployment Type (Cloud, On-premises), Organization Size, Vertical (BFSI, Healthcare & Life Sciences, Retail & eCommerce), and Region – Forecast to 2027” report has been added to ResearchAndMarkets.com’s offering.

The global decision intelligence market is projected to grow from USD 10 billion in 2022 to USD 22.7 billion by 2027, at a CAGR of 17.8% during the forecast period.

Decision intelligence (DI) enables businesses to take prompt, wise judgments. It combines artificial intelligence with data science, management science, behavioral science, and other technologies. The effects of a single choice on several individuals, procedures, and KPIs are also shown through DI. Artificial intelligence is the central element of every decision intelligence (DI) system (AI).

An efficient DI model requires the use of AI methods including machine learning, deep learning, data visualization, business intelligence, and predictive modelling. Business intelligence (BI), which offers precise and up-to-date data and analysis for several operations, is quickly being a crucial component of DI solutions.

Decision-makers may use this to make educated, data-driven judgments. Business process is made more flexible by BI, which enables business executives to use self-service analytics to analyse and display data without relying on assistance from technical people.

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The BFSI segment to have the largest market size during the forecast period

By vertical, the segments include BFSI, telecom, healthcare and life sciences, retail and e-commerce, government and defense, manufacturing, IT and ITeS, energy and utilities, transportation and logistics, and others (media and entertainment, travel and hospitality, and education and research). Financial services businesses use Decision Intelligence to process credit applications for transactions such as mortgages and vehicle loans.

AI-powered, it can use a customer’s credit score, income, or other data to confirm a client’s eligibility for specific services. Morgan Stanley, a sophisticated financial institution, that helps its consumers make wiser choices by utilizing in-house financial advisors and advanced decision-making technologies. Decision Intelligence powers their wealth management technology.

Following the client’s goal the AI system offers successful strategies, which are then confirmed by human specialists before being presented to the consumer. The banking industry employs decision intelligence to examine consumer behavior, anticipate demands, identify pain points, and create individualized products. According to a McKinsey report, only 20% of businesses are satisfied with their decision-making speed. Others admit to spending too much time attempting to make the perfect decision, which is not always the case.

The deployment & integration solution is registered to grow at the highest CAGR during the forecast period

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By services, the decision intelligence had been segmented into Consulting, deployment & implementation, support & maintenance. The technical expertise provided by integration and deployment services enables organisations to select the appropriate software architecture for their operational requirements. For system integration and deployment services, the appropriate amount of connections and back-end integration expertise are therefore required. Due to the fact that these services ensure that systems work effectively with one another to increase the effectiveness of the whole supply chain and production process, they are gaining popularity among end-users throughout the globe.

Among Vertical, Healthcare and Life Sciences vertical is anticipated to register the highest CAGR during the forecast period

The use of AI and RPA in healthcare decision intelligence has a wide range of advantages, including better data processing for developing high-quality electronic health record management, creating a user-friendly workflow for effective patient care, and improving the decision-making abilities of healthcare professionals. Healthcare organisations must enhance their decision intelligence by utilising AI technologies in a world of rapid change and rapidly shifting relationships with information. AI is the key to unlocking opportunities to add decision intelligence into healthcare organisations that functionalize over growing streams of data and constant learning to make information easily accessible for better decision making.

North America to account for the largest market size during the forecast period

North America is expected to have the largest market share in the decision intelligence market. North America is one of the leading markers for Decision Intelligence in terms of market share. Countries, such as the US and Canada, are adopting Decision Intelligence technology in multiple application areas, propelling the growth of Decision Intelligence in this region. The high penetration of Decision Intelligence in multiple verticals, such as BFSI, healthcare, and retail, is driving the growth of this market in this region. The North American region has been extremely open toward the adoption of any new and innovative technologies and is expected to provide market growth opportunities to Decision Intelligence vendors, as it is expected to witness an exponential growth of IT device-based generated data and stringent laws and policies for safeguarding the data.

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Market Dynamics

Drivers

  • Advent of ML and AI to Maximize Potential of Decision Intelligence
  • Increasing Need to Lower Risks Associated with Human Decisions

Restraints

  • Information Overload and Dependence on Decision Support Systems
  • Inability to Quantify ROI

Opportunities

  • Surge in Developments of Big Data Technology for Actionable Business Intelligence
  • Elimination of Mistakes and Biases from Decision-Making Process to Boost Adoption

Challenges

  • Integration of Data from Data Silos
  • Security of Data and Concerns About Privacy to Hinder Widespread Adoption of Decision Intelligence

Key Attributes:

Report Attribute Details
No. of Pages 234
Forecast Period 2022 – 2027
Estimated Market Value (USD) in 2022 $10 Billion
Forecasted Market Value (USD) by 2027 $22.7 Billion
Compound Annual Growth Rate 17.8%
Regions Covered Global

Key Topics Covered:

1 Introduction

2 Research Methodology

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3 Executive Summary

4 Premium Insights

5 Market Overview and Industry Trends

6 Decision Intelligence Market, by Component
6.1 Introduction
6.2 Platforms
6.3 Solutions
6.4 Services

7 Decision Intelligence Market, by Deployment Mode
7.1 Introduction
7.2 On-Premises
7.3 Cloud

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8 Decision Intelligence Market, by Organization Size
8.1 Introduction
8.2 Small and Medium-Sized Enterprises
8.3 Large Enterprises

9 Decision Intelligence Market, by Vertical
9.1 Introduction
9.2 BFSI
9.3 Telecom
9.4 Healthcare & Life Sciences
9.5 Retail & e-Commerce
9.6 IT & ITeS
9.7 Manufacturing
9.8 Energy & Utilities
9.9 Government & Defense
9.10 Transportation & Logistics
9.11 Other Verticals

10 Decision Intelligence Market, by Region

11 Competitive Landscape

12 Company Profiles

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13 Adjacent and Related Markets

14 Appendix

Companies Mentioned

  • 10xDS
  • Board International
  • Cerebra
  • Clarifai
  • Coca-Cola
  • Course5I
  • Diwo
  • Domo
  • FreeAndSingle
  • Google
  • H2O.AI
  • Humana
  • IBM
  • IBM Watson
  • Intel
  • Metaphacts
  • Microsoft
  • Oracle
  • Pace Revenue
  • Paretos
  • Peak.AI
  • PrettyLittleThing
  • Provenir
  • Pyramid Analytics
  • Quantellia
  • Remi.AI
  • Systems Technology Group (STG)
  • Tellius

For more information about this report visit https://www.researchandmarkets.com/r/n5i97o

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Artificial Intelligence

Kazakhstan Government Delegation Visited SUPCON

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HANGZHOU, China, Sept. 29, 2024 /PRNewswire/ — On September 26, a delegation from the Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan, led by Minister Madiyev Zhaslan, visited SUPCON. SUPCON’s Chairman and President, Mr.Cui Shan, warmly welcomed the delegation.

The Kazakhstan government representatives expressed their appreciation and recognition of SUPCON’s expertise and innovation in intelligent manufacturing, digital transformation, and industrial AI.
Madiyev Zhaslan expressed a strong interest in industrial AI technologies of SUPCON, particularly their applications in intelligent and low-carbon facilities. He looks forward to exploring extensive collaboration with SUPCON across various sectors in Kazakhstan.
Cui Shan emphasized that as a leading industrial AI company with a global presence, SUPCON will leverage its technological advantages to meet Kazakhstan’s industry development requirements and trends, injecting new momentum into the country’s industrial digitalization.
In 2023, SUPCON established a subsidiary in Kazakhstan as its Central Asia regional headquarters and set up a localized operational system. SUPCON will continue to invest in the long-term development of the Central Asia region, contributing further wisdom and strength to the industrial digital transformation in Kazakhstan and beyond.
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Artificial Intelligence

Huawei Peer-Recognized as a 2024 Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure

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SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — On September 24, 2024, Huawei announced that it has been peer-recognized a 2024 Gartner® Peer Insights™ Customers’ Choice in the Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure thanks to its Xinghe Intelligent Campus offerings. This marks the fifth year in a row that Huawei has received this distinction. Notably, Huawei receives Customers’ Choice distinctions in four of the six customer segments: Midsize Enterprise (50M – 1B USD); Public Sector, Government and Education; Asia/Pacific; and Europe, the Middle East and Africa.

As of June 30, 2024, customers across diverse sectors — including manufacturing, IT services, education, and telecommunication — have reviewed Huawei’s complete Xinghe Intelligent Campus offerings on the Gartner Peer Insights platform. We believe their impressive feedback showed global recognition of Huawei from the industry influence, deployment scales, and mature commercial use perspectives.
“We’re thrilled to be named a Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure again,” said Shawn Zhao, President of Huawei’s Campus Network Domain. “Recently, Huawei launched the newly upgraded Xinghe Intelligent Campus that takes wireless, application, and O&M experience to new levels with AI technologies, ultimately accelerating the digital transformation of enterprises.”
Looking ahead, Huawei will further innovate Xinghe Intelligent Campus offerings from wireless, application, and O&M experience upgrade perspectives, helping all industries stride to the future of experience-centric intelligent campus networks.
For more about Gartner® Peer Insights™ Customers’ Choice, visit: https://www.gartner.com/reviews/market/enterprise-wired-wireless-lan-access-infrastructure 
Disclaimer:
Gartner, Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure, Peer Contributors, 12 September 2024
Gartner, Peer Insights, Magic Quadrant and Customers’ Choice badge are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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Huawei Wen Tong: 6G Needs to Embrace AI for Shaping Future Network

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SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — At the 6G Conference held in Istanbul, on September 24, 2024, Dr. Wen Tong, Huawei Wireless CTO, delivered a keynote speech on 6G standardization and innovation. With the release of the ITU-R 6G vision framework, the 3GPP will start 6G standardization in 2025. “6G is a new generation of mobile technology, not a simple upgrade of 5G, it should bring new value to users,” said Dr. Tong, “6G is a true intergenerational technological disruption. 6G standard, key technologies, and network architecture should be re-defined based on application scenarios and requirements from 2030 to 2040. 6G should not be another way to implement 5G. Instead, 6G should embrace the AI revolution with a quantum leap and generate new values for the consumers. In this way, 3GPP standards can truly realize the 6G vision and create greater value for the entire industry.”

Centered “6G Standardization Direction” and “6G Innovation Driving Force”, Dr. Tong shared important views on the future architecture, terminal development, and key technologies of 6G.
In terms of architecture design, 6G should go beyond Service-Based Architecture and move towards Application-Driven Network.
5G has already achieved market success and continues to evolve towards 5G-Advanced. 6G will not simply reuse 5G network architecture, without generational and fundamental innovations, which will limit the mobile industry’s aspiration and imagination to dive the innovation in the 6G era. 6G must have obvious cross-generational characteristics and technical breakpoint.
On the core side, reusing the 5G core network will hinder the innovation in AI. We should use Agentic-AI based technology to re-architect 6G Core that goes beyond 5G Service-Based Architecture and support the foundational capabilities of AI, Sensing and NTN , and thus evolve towards the Application Driven Network .
In terms of terminal evolution, 6G user device calls for a breakthrough to lead the success of the entire industry chain.
It is the law of the mobile industry to drive the evolution of the market with the pioneering technology. The 6G networks and 6G terminals must meet the requirements of consumers and vertical industries in the 6G market phase from 2030 to 2040.
Currently, smartphones are evolving to AI terminals to usher in the mobile AI era. In post-MBB era, breakthroughs in terminal technologies will be the key to the evolution of the mobile industry. Therefore, 6G user device calls for a breakthrough towards “Full-AI”, thus to drive 6G network upgrade and the success of the entire industry ecosystem.
In terms of technology development, AI will become a key enabler for 6G with network paradigm shifting.
Twenty years ago, the Internet was the enabler of the technology innovations. Mobile communications embraced the Internet and achieved great business success. Today, AI maybe the disruptive enabler of the latest technology innovations.
6G should embrace the AI revolution with a quantum leap. However, 6G networks should not be limited to generative AI, Artificial General Intelligence (AGI) and Embodiment-AI are the main directions of future AI development. Therefore, AGI should run through the whole process of sensing, reasoning, decision, and action of terminals, wireless networks, and core networks of 6G, to welcome the arrival of a new network paradigm.
At the end, Dr. Tong Wen emphasized the relationship between 5G and 6G: “The global 5G deployment is on the rise and evolving to 5G-Advanced, which not only meets the current requirements of operators, but also protects their investment. Therefore, 6G technologies should not overlap with 5G in technologies and market space. The specifications, technologies, and architecture of 6G must be based on the scenarios and requirements from 2030 to 2040. We should focus on true generational technology disruption, embrace the new opportunities brought by AI, expand the mobile industry in the next generation.”
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