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Global Knowledge Management Market to Reach $1.1 Trillion by 2026

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New York, June 23, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Knowledge Management Industry” – https://www.reportlinker.com/p05817668/?utm_source=GNW
The global market is anticipated to expand due to the growing need to retain customers and improve customer satisfaction. The COVID-19 pandemic and the resultant remote working phenomenon has provided a significant boost for knowledge management solutions across the world. With the remote working pattern emerging as a mainstream phenomenon, the need for knowledge management solutions is expected to increase going forwards. Even with the COVID-19 curve flattening, and mass vaccination programs still at a distance, most companies are expected to continue with the work-from-home model at least into the near future. The KM systems fit perfectly into the needs of an organization, which could be required to operate with employees of other departments in the absence of relevant workforce (either due to layoff or COVID-19 related absenteeism). The pandemic also caused several companies to adopt cloud-based software that imparts flexibility to their businesses, while those with such technologies already in place would continue to have an edge other those transitioning later. The use of cloud-based KM systems would help organizations create and share information in real-time with employees for better customer handling. In addition, increasing amounts of data being collected by organizations is expected to drive the demand for knowledge management solutions.

– Amid the COVID-19 crisis, the global market for Knowledge Management estimated at US$381.5 Billion in the year 2020, is projected to reach a revised size of US$1.1 Trillion by 2026, growing at a CAGR of 19.8% over the analysis period. Systems, one of the segments analyzed in the report, is projected to grow at a 18.2% CAGR to reach US$444.5 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Mechanisms & Technologies segment is readjusted to a revised 21.1% CAGR for the next 7-year period. This segment currently accounts for a 28.5% share of the global Knowledge Management market. A Knowledge Management System (KMS) is associated with carrying out various functions of KM, i.e. collection, dissemination, analysis and general management of knowledge or information, for an organization, and delivers results that enable the organization to use the same in an effective and efficient manner. KMS system is intended for using and applying the principles of KM for allowing customers and employees to rapidly create, find and store relevant information. Knowledge Management Mechanisms are structural or organizational means utilized for promoting knowledge management. Some examples of KM mechanisms include on-the-job training, learning by doing, learning by observation, and face-to-face meetings. Knowledge Management Technologies refer to various types of information technologies that enable knowledge management.

The U.S. Market is Estimated at $164.7 Billion in 2021, While China is Forecast to Reach $176.9 Billion by 2026

– The Knowledge Management market in the U.S. is estimated at US$164.7 Billion in the year 2021. The country currently accounts for a 35.39% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$176.9 Billion in the year 2026 trailing a CAGR of 27.1% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 15.6% and 17.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 17.7% CAGR while Rest of European market (as defined in the study) will reach US$219.1 Billion by the end of the analysis period. Global enterprises are making substantial investments in developing innovative approaches and strategies for competing successfully in a knowledge-based market. Such innovative practices, resulting in the development of knowledge-intensive products and services, are prevalent amongst enterprises in North America and Europe.

Process Segment to Reach $265.6 Billion by 2026

– Knowledge Management Processes refer to approaches used by an organization for handling knowledge at various stages of KM lifecycle. The segment includes processes that are used for applying knowledge, capturing knowledge, creating knowledge, and sharing knowledge. In the global Process segment, USA, Canada, Japan, China and Europe will drive the 22.9% CAGR estimated for this segment. These regional markets accounting for a combined market size of US$59.1 Billion in the year 2020 will reach a projected size of US$249.9 Billion by the close of the analysis period. China will remain among the fastest growing in this cluster of regional markets. Led by countries such as Australia, India, and South Korea, the market in Asia-Pacific is forecast to reach US$38.1 Billion by the year 2026.
Select Competitors (Total 253 Featured)

  • Atlassian Corporation Plc
  • Bitrix, Inc.
  • Bloomfire
  • Chadha Software Technologies
  • ComAround Inc.
  • eGain Corporation
  • Ernst & Young Global Limited
  • eXo Platform
  • Freshworks Inc.
  • IBM
  • Igloo Software
  • KMS Lighthouse
  • Knosys
  • Lucidea
  • MangoApps Inc.
  • Moxie Software
  • Open Text Corporation
  • ProProfs
  • RightAnswers, Inc.
  • Yonyx Inc.

Read the full report: https://www.reportlinker.com/p05817668/?utm_source=GNW

CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW
Impact of Covid-19 and a Looming Global Recession
2020 Marked as a Year of Disruption & Transformation
EXHIBIT 1: World Economic Growth Projections (Real GDP, Annual
% Change) for 2019 to 2022
How the IT Industry Has Been Impacted by the Pandemic & What?s
the New Normal?
EXHIBIT 2: Global Information Technology Market Reset &
Trajectory – Growth Outlook (In %) For Years 2019 through 2025
Knowledge Management Enables Remote Work Approach amidst COVID
-19 Pandemic
EXHIBIT 3: WFM (Work from Home) Employees as a % of the Total
Workforce in Select Countries for the Years 2019 and 2020
KM Professional Services Remain in Demand in Pandemic Times
KM Solutions to Gain Momentum in Near Future
Knowledge Management: A Prelude
Data-Information-Knowledge Continuum
Converting Data into Knowledge
Knowledge Management: A Conceptual Definition
Why Knowledge Management is important in Corporate Sector?
Segment Definitions
Recent Market Activity
World Brands

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS
Myriad Benefits of Knowledge Management Tools to Fuel Market
Growth
Growing Need for Data Analysis in Various Industries Drives
Significance of Knowledge Management
Knowledge Management & Big Data: Enabling Digital Transformation
EXHIBIT 4: Global Digital Transformation Spending (In US$
Billion) for Years 2017 through 2023
EXHIBIT 5: Global Cumulative Value of Digitalization by
Industry (In US$ Billion) for the Period 2016 to 2025
EXHIBIT 6: Global Digital Data Created (In Zettabytes) for the
Years 2015, 2020, 2025, and 2030
COVID-19 Paves Way for Digitization of Businesses
Knowledge Management Moves to the Cloud
Technological Advancements to Boost Adoption of KM Tools
Rising Data Volumes and Complexity Drive Focus onto New
Technologies
Noteworthy Trends in KM Space
WFH Shoots Up Demand for Seamless Collaboration Tools
Visual KM Software Versions to Replace Previous Tools
KM Suits to Centralize Processes
Integrated Customer Support Tools for Speedy Case Resolutions
Improved Access to Internal Query Database
New UI for Better User Experience
Rise in Employment of Knowledge Bots
Demand for User-Friendly Interfaces
Improved Collaboration
Mobile Technology and Single Sign-on
Social Media Evolves as a KM Tool
Demand Escalates for Advanced Internal Search Indexes
AI Gaining Importance in Knowledge Management
Role of Artificial Intelligence (AI) in Enhancing the Value of
Unstructured Content
Emphasis Grows on More Accessible Content Management
KM Tools with Permission Settings to Ease Knowledge Sharing
Significant Potential for IoT in Knowledge Management
EXHIBIT 7: Global M2M/IoT Connections (In Billion) for Years
2019, 2021 and 2023
Collaboration Emerges as a Critical Requirement for Enabling
Knowledge Management
Knowledge Management Becomes an Important Tool for Healthcare
Industry

4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Knowledge
Management by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 2: World Historic Review for Knowledge Management by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 3: World 15-Year Perspective for Knowledge Management by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World Markets for Years 2012, 2020 & 2027

Table 4: World Current & Future Analysis for Systems by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 5: World Historic Review for Systems by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2012 through 2019 and
% CAGR

Table 6: World 15-Year Perspective for Systems by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2012, 2020 & 2027

Table 7: World Current & Future Analysis for Mechanisms &
Technologies by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 8: World Historic Review for Mechanisms & Technologies by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 9: World 15-Year Perspective for Mechanisms &
Technologies by Geographic Region – Percentage Breakdown of
Value Revenues for USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World for Years 2012,
2020 & 2027

Table 10: World Current & Future Analysis for Process by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 11: World Historic Review for Process by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2012 through 2019 and
% CAGR

Table 12: World 15-Year Perspective for Process by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2012, 2020 & 2027

Table 13: World Current & Future Analysis for Infrastructure by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 14: World Historic Review for Infrastructure by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 15: World 15-Year Perspective for Infrastructure by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World for Years 2012, 2020 & 2027

Table 16: World Current & Future Analysis for Large Enterprises
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 17: World Historic Review for Large Enterprises by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 18: World 15-Year Perspective for Large Enterprises by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World for Years 2012, 2020 & 2027

Table 19: World Current & Future Analysis for SMEs by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 20: World Historic Review for SMEs by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 21: World 15-Year Perspective for SMEs by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2012, 2020 & 2027

III. MARKET ANALYSIS

UNITED STATES
Table 22: USA Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 23: USA Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 24: USA 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 25: USA Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 26: USA Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 27: USA 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

CANADA
Table 28: Canada Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 29: Canada Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 30: Canada 15-Year Perspective for Knowledge Management
by Offering – Percentage Breakdown of Value Revenues for
Systems, Mechanisms & Technologies, Process and Infrastructure
for the Years 2012, 2020 & 2027

Table 31: Canada Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 32: Canada Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 33: Canada 15-Year Perspective for Knowledge Management
by Organization Size – Percentage Breakdown of Value Revenues
for Large Enterprises and SMEs for the Years 2012, 2020 & 2027

JAPAN
Table 34: Japan Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 35: Japan Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 36: Japan 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 37: Japan Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 38: Japan Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 39: Japan 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

CHINA
Table 40: China Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 41: China Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 42: China 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 43: China Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 44: China Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 45: China 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

EUROPE
Table 46: Europe Current & Future Analysis for Knowledge
Management by Geographic Region – France, Germany, Italy, UK,
Spain, Russia and Rest of Europe Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 47: Europe Historic Review for Knowledge Management by
Geographic Region – France, Germany, Italy, UK, Spain, Russia
and Rest of Europe Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 48: Europe 15-Year Perspective for Knowledge Management
by Geographic Region – Percentage Breakdown of Value Revenues
for France, Germany, Italy, UK, Spain, Russia and Rest of
Europe Markets for Years 2012, 2020 & 2027

Table 49: Europe Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 50: Europe Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 51: Europe 15-Year Perspective for Knowledge Management
by Offering – Percentage Breakdown of Value Revenues for
Systems, Mechanisms & Technologies, Process and Infrastructure
for the Years 2012, 2020 & 2027

Table 52: Europe Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 53: Europe Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 54: Europe 15-Year Perspective for Knowledge Management
by Organization Size – Percentage Breakdown of Value Revenues
for Large Enterprises and SMEs for the Years 2012, 2020 & 2027

FRANCE
Table 55: France Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 56: France Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 57: France 15-Year Perspective for Knowledge Management
by Offering – Percentage Breakdown of Value Revenues for
Systems, Mechanisms & Technologies, Process and Infrastructure
for the Years 2012, 2020 & 2027

Table 58: France Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 59: France Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 60: France 15-Year Perspective for Knowledge Management
by Organization Size – Percentage Breakdown of Value Revenues
for Large Enterprises and SMEs for the Years 2012, 2020 & 2027

GERMANY
Table 61: Germany Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 62: Germany Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 63: Germany 15-Year Perspective for Knowledge Management
by Offering – Percentage Breakdown of Value Revenues for
Systems, Mechanisms & Technologies, Process and Infrastructure
for the Years 2012, 2020 & 2027

Table 64: Germany Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 65: Germany Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 66: Germany 15-Year Perspective for Knowledge Management
by Organization Size – Percentage Breakdown of Value Revenues
for Large Enterprises and SMEs for the Years 2012, 2020 & 2027

ITALY
Table 67: Italy Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 68: Italy Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 69: Italy 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 70: Italy Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 71: Italy Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 72: Italy 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

UNITED KINGDOM
Table 73: UK Current & Future Analysis for Knowledge Management
by Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 74: UK Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 75: UK 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 76: UK Current & Future Analysis for Knowledge Management
by Organization Size – Large Enterprises and SMEs – Independent
Analysis of Annual Revenues in US$ Million for the Years 2020
through 2027 and % CAGR

Table 77: UK Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 78: UK 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

SPAIN
Table 79: Spain Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 80: Spain Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 81: Spain 15-Year Perspective for Knowledge Management by
Offering – Percentage Breakdown of Value Revenues for Systems,
Mechanisms & Technologies, Process and Infrastructure for the
Years 2012, 2020 & 2027

Table 82: Spain Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 83: Spain Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 84: Spain 15-Year Perspective for Knowledge Management by
Organization Size – Percentage Breakdown of Value Revenues for
Large Enterprises and SMEs for the Years 2012, 2020 & 2027

RUSSIA
Table 85: Russia Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 86: Russia Historic Review for Knowledge Management by
Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 87: Russia 15-Year Perspective for Knowledge Management
by Offering – Percentage Breakdown of Value Revenues for
Systems, Mechanisms & Technologies, Process and Infrastructure
for the Years 2012, 2020 & 2027

Table 88: Russia Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 89: Russia Historic Review for Knowledge Management by
Organization Size – Large Enterprises and SMEs Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2012 through 2019 and % CAGR

Table 90: Russia 15-Year Perspective for Knowledge Management
by Organization Size – Percentage Breakdown of Value Revenues
for Large Enterprises and SMEs for the Years 2012, 2020 & 2027

REST OF EUROPE
Table 91: Rest of Europe Current & Future Analysis for
Knowledge Management by Offering – Systems, Mechanisms &
Technologies, Process and Infrastructure – Independent Analysis
of Annual Revenues in US$ Million for the Years 2020 through
2027 and % CAGR

Table 92: Rest of Europe Historic Review for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2012 through 2019 and
% CAGR

Table 93: Rest of Europe 15-Year Perspective for Knowledge
Management by Offering – Percentage Breakdown of Value Revenues
for Systems, Mechanisms & Technologies, Process and
Infrastructure for the Years 2012, 2020 & 2027

Table 94: Rest of Europe Current & Future Analysis for
Knowledge Management by Organization Size – Large Enterprises
and SMEs – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 95: Rest of Europe Historic Review for Knowledge
Management by Organization Size – Large Enterprises and SMEs
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2012 through 2019 and % CAGR

Table 96: Rest of Europe 15-Year Perspective for Knowledge
Management by Organization Size – Percentage Breakdown of Value
Revenues for Large Enterprises and SMEs for the Years 2012,
2020 & 2027

ASIA-PACIFIC
Table 97: Asia-Pacific Current & Future Analysis for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 98: Asia-Pacific Historic Review for Knowledge Management
by Offering – Systems, Mechanisms & Technologies, Process and
Infrastructure Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2012 through 2019 and % CAGR

Table 99: Asia-Pacific 15-Year Perspective for Knowledge
Management by Offering – Percentage Breakdown of Value Revenues
for Systems, Mechanisms & Technologies, Process and
Infrastructure for the Years 2012, 2020 & 2027

Table 100: Asia-Pacific Current & Future Analysis for Knowledge
Management by Organization Size – Large Enterprises and SMEs –
Independent Analysis of Annual Revenues in US$ Million for the
Years 2020 through 2027 and % CAGR

Table 101: Asia-Pacific Historic Review for Knowledge
Management by Organization Size – Large Enterprises and SMEs
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2012 through 2019 and % CAGR

Table 102: Asia-Pacific 15-Year Perspective for Knowledge
Management by Organization Size – Percentage Breakdown of Value
Revenues for Large Enterprises and SMEs for the Years 2012,
2020 & 2027

LATIN AMERICA
Table 103: Latin America Current & Future Analysis for
Knowledge Management by Offering – Systems, Mechanisms &
Technologies, Process and Infrastructure – Independent Analysis
of Annual Revenues in US$ Million for the Years 2020 through
2027 and % CAGR

Table 104: Latin America Historic Review for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2012 through 2019 and
% CAGR

Table 105: Latin America 15-Year Perspective for Knowledge
Management by Offering – Percentage Breakdown of Value Revenues
for Systems, Mechanisms & Technologies, Process and
Infrastructure for the Years 2012, 2020 & 2027

Table 106: Latin America Current & Future Analysis for
Knowledge Management by Organization Size – Large Enterprises
and SMEs – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 107: Latin America Historic Review for Knowledge
Management by Organization Size – Large Enterprises and SMEs
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2012 through 2019 and % CAGR

Table 108: Latin America 15-Year Perspective for Knowledge
Management by Organization Size – Percentage Breakdown of Value
Revenues for Large Enterprises and SMEs for the Years 2012,
2020 & 2027

REST OF WORLD
Table 109: Rest of World Current & Future Analysis for
Knowledge Management by Offering – Systems, Mechanisms &
Technologies, Process and Infrastructure – Independent Analysis
of Annual Revenues in US$ Million for the Years 2020 through
2027 and % CAGR

Table 110: Rest of World Historic Review for Knowledge
Management by Offering – Systems, Mechanisms & Technologies,
Process and Infrastructure Markets – Independent Analysis of
Annual Reven
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Artificial Intelligence

Rainbow Robotics begins pre-orders of Bimanual Mobile Manipulator RB-Y1, the world’s first research platform for AI experts for $80,000 USD

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DAEJEON, South Korea, May 9, 2024 /PRNewswire/ — Rainbow Robotics(CEO Jungho Lee), a robot platform specialized company, will begin pre-orders for the Bimanual Mobile Manipulator RB-Y1 from May 8.

During the pre-order period, the research platform is sold for $80,000 USD and the commercial platform is sold for $120,000 USD (VAT excluded). Products are scheduled to be delivered sequentially starting in October.
RB-Y1 is a research platform that has both arms with 7 degrees of freedom per arm for smooth movements similar to human movements. It is a humanoid-like robot with a single leg with 6 degrees of freedom on a mobile platform for a wide work radius. The LiDAR system is adopted for autonomous movement, and a high-performance 3D recognition sensor and master ARM are provided as options to increase usability. In line with the recent trend of the AI era, Rainbow Robotics plans to provide various APIs and options so that AI developers can easily utilize them for research purposes.
Recently, various organizations are introducing humanoid robots. However, they are only used for their own purposes and there is no standard platform for various AI robot researchers. Rainbow Robotics’ RB-Y1 is the first to commercially sell such a research platform.
Unlike existing simple industrial robots, a Bimanual Mobile Manipulator is a humanoid robot that uses both arms and is suitable for advanced manufacturing sites and services. It is a next-generation robot platform that can be used for complex assembly, manufacturing, and collaboration beyond existing simple automation processes.
If you would like to pre-order RB-Y1, please contact us through enquiry page or email us at [email protected].
Meanwhile, Rainbow Robotics will participate as a bronze sponsor in the IEEE International Conference on Robotics and Automation (ICRA 2024), which will be held at Pacifico Yokohama, Japan on May 13.
During the exhibition, various demonstrations will be shown of controlling RB-Y1 with real-time remote operation technology, which links the data arm and simulation system. Additionally, Rainbow Robotics plans to exhibit the small, high-precision collaborative robot RB3-730 and the quadruped robot RBQ-10.
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Artificial Intelligence

AgriBusiness Global™ Announces 2024 Event Line-Up: Connecting Crop Input Leaders Worldwide

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WILLOUGHBY, Ohio, May 8, 2024 /PRNewswire/ — AgriBusiness Global, the premier business source for leaders in the global crop input value chain, is thrilled to announce its lineup of events for 2024. For 37 years, AgriBusiness Global has been the go-to resource for quality, trustworthy information and analysis, leading the industry in providing the next generation of crop solutions covering synthetic crop protection, biologicals, and plant health.

In 2024, AgriBusiness Global will host three events, each designed to connect industry leaders, promote innovation, and drive business growth:
AgriBusiness Global℠ LATAM Conference Date: 14-15 MayLocation: Panama City, Panama
Capitalizing on Emerging Technologies in LATAM
The ABG LATAM Conference will bring together industry experts and influencers to discuss the latest trends and developments in crop protection, plant health, biologicals, and ag technology specific to the Latin American region. The Latin-American market offers new opportunities for business growth and partnerships with leading players in the region. Learn More>
AgriBusiness Global℠ Trade Summit Date: 7-8 AugustLocation: Orlando, Florida, USA
The #1 Global Agribusiness Event- Dedicated to Worldwide Networking and New Business Development               
The ABG Trade Summit is the trusted forum for advancing development in the rapidly emerging global crop protection, ag tech, plant health, and biological sectors. Attendees can expect to meet with the world’s leading manufacturers, exporters, trading companies, sellers, formulators, and consultants.  Trade Summit facilitates global trade by offering educational sessions, a robust exhibit floor, private meeting rooms, and dedicated networking opportunities for the world market to connect, engage, and build business. Learn More>
AgriBusiness Global℠ SE Asia ConferenceDate: 6-7 NovemberLocation: Jakarta, Indonesia
Empowering Southeast Asia’s AgriBusiness for Global Impact
The ABG Southeast Asia Conference, produced in cooperation with the Indonesian CropCare Association, will showcase cutting-edge technologies and innovations in crop production, addressing the unique challenges and opportunities in the Southeast Asian market. Attendees will gain unique insights to prepare for the future and navigate the present in the rapidly evolving agricultural market. Learn More>
“Our events are dynamic platforms for industry leaders to connect, collaborate, and drive innovation,” said Eric Davis, Group Director at AgriBusiness Global. “We are excited to bring together the brightest minds in the industry to explore new ideas, foster partnerships, and shape the future of agriculture.”
For information about the 2024 events and how to participate, visit AgriBusinessGlobal.com.
About Meister Media Worldwide
For media inquiries, please contact:Amy Reddington, Show Director
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Artificial Intelligence

Economic Shifts Ahead as AI Integrates Deeply into Work and Society, Fueling $4.4 Trillion Growth

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USA News Group News Commentary
Issued on behalf of Scope AI Corp.
VANCOUVER, May 8, 2024 /PRNewswire/ —  USA News Group News Commentary – New developments in AI technology are currently changing the face of work, economies, and society as we know it, according to analysts at McKinsey & Company who are projecting generative AI (gen AI) could add $4.4 trillion annually to the global economy. Between January and March of this year alone, the world’s largest cloud-computing giants have collectively invested $40 billion mostly into data centres equipped to deal with growing AI workloads, according to The Economist. The shift is leading experts to witness how AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS, representing a $4.6 trillion opportunity. A variety of tech companies have recently advanced the integration of AI, providing swift, safe, and cost-effective solutions for businesses to adopt artificial intelligence technology this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Apple Inc. (NASDAQ: AAPL), and C3.ai, Inc. (NYSE: AI).

The article continued: Seeing the extraordinary speed of AI’s advancements and impacts, combined with surging private- and public-sector demand, is causing regulators in the USA and EU to issue legislation calling for action. Now analysts are trying to determine whether the GenAI boom is setting up to be another bubble, or a legitimate long-term investment opportunity.
SCOPE AI PROVIDES CORPORATE UPDATE
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) (“Scope” or the “Company”) today provided an update  on new developments of Scope’s artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system. Built on advanced visual recognition and neural network technology, GEM could advance industries, including Advertising and Gaming, by providing them with new insights and capabilities.
Advertising: GEM aims to enable advertising businesses to personalize ad content based on real-time user behavior analysis. By leveraging visual recognition technology, companies can create highly targeted and engaging ads, maximizing return on ad spend and driving customer engagement to new heights.
Gaming:  In the gaming industry, GEM aims to enhance user experiences by customizing gameplay and recommendations. By analyzing player behavior using neural networks, GEM provides customers and developers with invaluable insights with the intention of optimizing game design, increasing user retention, and maximizing revenue potential.
Unveiling Neural Networks: Neural networks are the foundation of GEM’s technology. These complex algorithms mimic the structure and functionality of the human brain, enabling machines to learn from vast amounts of data and make intelligent predictions and decisions. By harnessing the power of neural networks, GEM offers comprehensive capabilities in advanced pattern recognition, data analysis, and decision-making across industries.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure”, said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in the kind and sensitivity of data we can process and store. It’s a potential game-changer for the industry.”
Scope’s GEM platform includes advanced features designed to enhance user experience and security, all while streamlining operations. Built-in customer support and user management modules allow for seamless assistance, while the native referral system fosters user engagement and growth. Along with the full admin suite for comprehensive analysis and reporting, businesses are fully empowered with unparalleled capabilities and insights.
CONTINUED… Read this and more news for Scope AI at:  https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market this week include:
Meta Platforms, Inc. (NASDAQ: META), the parent company of Facebook, Instagram, and WhatsApp, recently teamed up with the Georgia Institute of Technology to create a massive open dataset to advance AI solutions for carbon capture, a technology with promising potential to address global climate concerns. As per the collaboration, Georgia Tech and Meta say their massive database could potentially make it easier and faster to design and implement new direct air capture technologies.
“The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations,” said Georgia Tech in a press release. “The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.”
Researchers at Meta’s Fundamental AI Research (FAIR) team were already looking for ways to harness their machine-learning prowess to address climate concerns. They ultimately landed on direct air capture as what they believed to be a promising technology, and immediately reached out to Georgia Tech. FAIR’s lead authors generated the database by running quantum chemistry computations on inputs provided by Georgia Tech’s team, using about 400 million CPU hours along the way, and surpassing several hundreds of times more computing than the average academic computing lab can do in a year.
Amazon.com, Inc. (NASDAQ: AMZN) through its global Amazon Web Services (AWS) cloud system subsidiary recently rolled out its new AI system called Q, which it has dubbed as “the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.”
As well, Amazon also recently launched its Custom Model Import for Bedrock tool, which CEO Andy Jassy called a “sneak big launch as it satisfies a customer request we’ve heard frequently and that nobody has yet met.” The tool allows customers to import custom models they’ve built in Amazon SageMaker into tits Amazon Bedrock platform. Doing so lets enterprises utilize AI investments they’ve already made, while also leveraging Bedrock’s capabilities to scale their models and applications.
“Customers are excited about this, and as more companies find they’re employing a mix of custom-built models along with leveraging existing LLMs,” said Jassey. “The prospect of these two linchpin services in SageMaker and Bedrock working well together is quite appealing.”
Apple Inc. (NASDAQ: AAPL), whose iPhones currently hold the Top 4 (and 5 of the Top 10) best-selling smartphone models by sales, recently reported an all-time revenue record in sales in its most recent financial results. While being seen as potentially late to the game on AI, several reports in recent weeks has suggested that Apple is not only talking to OpenAI and/or Google about powering some of its AI features, it’s also been reportedly spending “millions of dollars a day” training its own AI model, called Ajax.
Now industry experts are saying the iPhone is about to become an “AI phone”, in anticipation of Apple’s upcoming iOS 18. A key anticipated feature of iOS 18 is Apple’s own large language model (LLM), similar to the technology behind AI chatbots like ChatGPT. It’s widely speculated that this Apple-developed LLM will be integrated with Siri, enhancing the capabilities of the iPhone’s digital assistant. As indicated by Bloomberg in late April, it’s suggested that Apple’s  LLM will be entirely on-device, meaning the tech will be powered inside by the iPhone’s processor, rather than in the cloud—which may be a bit less powerful and knowledgeable, but with far quicker response times.
C3.ai, Inc. (NYSE: AI), an Enterprise AI application software company, is actively working to enhance the petroleum industry in Houston, through a cooperative effort that allows oil and gas companies to share AI technology and applications with each other. This effort is meant to curb companies from withholding information from competitors, with the goal of collaboration instead.
“We’re building the applications that are, you know, monitoring every device on every offshore oil rig in real time so that they can see with 18 hours in advance before something fails and just shut it down,” said Tom Siebel, CEO of C3.ai. Siebel has explained that AI is at work in oil and gas, diagnosing issues and assisting with maintenance, giving the example of a giant like Shell uses AI to track their half a million valves around the world.
“They can see what’s going on,” said Siebel. “They can predict when a valve is going to be stuck open or closed before it happens, and if one of these valves gets stuck open or closed, things go real bad, real fast, right? And so, they’ve decided to make these applications available to Aramco, Eni, Chevron, Phillips.”
A recent report from Research and Markets predicted that the global AI in oil and gas market is expected to surge to an impressive $5.96 billion by 2028, growing at a CAGR of 13.3%.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
 CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Scope AI Corp. advertising and digital media from the company directly. There may be 3rd parties who may have shares Scope AI Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Scope AI Corp. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Scope AI Corp. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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