Artificial Intelligence
Global Textile Machinery Industry
New York, Nov. 19, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Textile Machinery Industry” – https://www.reportlinker.com/p05864179/?utm_source=GNW
9 million units by the year 2027 trailing a post COVID-19 CAGR of 9.1% over the analysis period 2020 to 2027. COVID-19 has come down hard on the textile & fashion industry. Between 1Q and 2Q, the industry moved swiftly from shortage of raw material supply to order cancellations. Retail sales of apparel & home furnishings worldwide are continuing to plummet in response to cutback son consumer spending as a result of rising unemployment & shrinking disposable incomes. The string of bad market fundamentals characterized by low demand, order cancellations, labor/raw material disruptions & revenue losses, is impacting the textile industry & its entire value chain & allied sectors. With global GDP dipping into the red at -3% for the year 2020, sales of textiles, garments and apparel remains subdued. As businesses struggle to keep afloat, job cuts and bankruptcies are expected to rise sending millions into unemployment. Unemployment rates are climbing to worrisome levels in both developed and developing economies alike. In the US alone, over 5.2 million people have filed for unemployment claims over the last 1 month. The loss in consumer confidence and erosion of household wealth and discretionary spending will impact virtually every industry and business worldwide. The COVID-19 pandemic has therefore pushed consumers to conserve cash. With unemployment rates rising amid the virus induced economic crisis, consumers are cutting spending budgets. Unemployment rates have hit never-before highs with the US topping the charts with 12.5% unemployed as a % of total labor force.
Social outlook against this background remains grim with households expected witness erosion in wealth. Personal financial outlook, community, economy, job security confidence, purchasing and investment confidence are all tumbling as the human and economic cost of the global pandemic rises. Investments in procurement of new textile machinery, against this backdrop, is taking a direct blow as textile plants idle and/or function at less than 60% capacity. A part of the industrial machine tools market, textile machinery will feel the pain of declining manufacturing activity. Division of labor, modular manufacturing strategies, outsourcing to reduce costs and increase the efficiency, consistency, and quality of each operations, have made the manufacturing sector most vulnerable amid the lockdown restrictions. An indication of the grim state of affairs is the fact that global manufacturing PMI is already declining and will fall to an estimated all-time low in 2020 as compared to the 53.8 in 2019. With roots in China, the world’s supply chains are facing unprecedented disruption and shutdown. Interwoven with a demand crisis, the supply chain shocks are exerting a compounded blow to manufacturing companies worldwide. A combination of all the aforementioned macro-economic issues alongside more specific factors such as suspension of the transportation and changes in demand patterns have dealt a debilitating blow to the manufacturing industry. On a monthly basis, global manufacturing PMI continuously degraded from 52.2 points in January 2020 to 39.6 points in April 2020 and 42.4 points in May 2020. This indicates severe contraction of manufacturing activity including new orders, production, employment, supplier deliveries, inventories, customers’ inventories, commodity prices, order backlog, new export orders, and imports. Business investment confidence is tumbling amidst poor demand, falling profits, liquidity crunch and a reeling global economy. The “great lockdown” of 2020 has crushed the global economy and with it the manufacturing sector.
In the post COVID-19 period, growth will be led by the re-emergence of China as a key market. China represents the largest market for textile machinery. Once being a major importer of textile machinery, China transformed into a global hub for manufacturing of textile machinery and swiftly became a major exporter of world-class textile machinery to all parts of the world. China has remained the largest investor in textile machinery such as spinning, weaving, and knitting machinery over the recent past. Favorable government support in terms of recent initiatives such as ’Made in China 2025’ and 13th five year plan for the textile industry with focus on automation and value-added manufacturing has pumped significant investments into upstream textile plants. Textile machinery manufacturers in China have and will continue to invest heavily to address the increasing apparel demand from both Chinese and foreign customers. A major reason behind the popularity of Chinese textile machinery in Asian countries is its low cost and close proximity. Some of the machinery from China, cost about half the price compared to its western counterparts. Growth in the industry is supported by technological innovations. China represents one of the major exporters of textile machinery, with China-made textile machinery accounting for more than 35% of worldwide textile machinery exports. The country manufactures more than 600 types of textile machinery and ancillaries. Chinese companies have developed various energy saving and emission reduction products at very competitive prices. Additionally, textile machinery companies have also incorporated Artificial Intelligence (AI) and Internet of Things (IoT) in their product offerings. About 80% of the Chinese domestic textile machinery market comprises China-made products, while the remaining 20% is imported from other countries. Chinese provinces like Guangdong, Jiangsu, and Zhejiang account for about 70% of the country’s overall textile machinery imports. All of these factors prime China for post pandemic growth resurgence.
Competitors identified in this market include, among others,
- Brother Industries Ltd.
- Andritz AG
- Batliboi Ltd.
- Cheran Machines India Pvt., Ltd.
- Cortex
- Albany International Corp.
- CPM Wolverine Proctor LLC
- C. A. Litzler Co., Inc.
- A.T.E. Enterprises Pvt., Ltd. (HMX)
- China Hi-Tech Group Corporation
Read the full report: https://www.reportlinker.com/p05864179/?utm_source=GNW
I. INTRODUCTION, METHODOLOGY & REPORT SCOPE I-1
II. EXECUTIVE SUMMARY II-1
1. MARKET OVERVIEW II-1
Impact of Covid-19 and a Looming Global Recession II-1
Textile Industry Remains Hard Hit II-1
COVID-19 Inflicts Considerable Damage on Global Textile
Machinery Industry II-2
Global Economy Stares at an Impending Crisis II-3
Exhibit 1: World Economic Growth Projections (Real GDP,
annual % Change) for 2019, 2020 & 2021 II-5
Exhibit 2: Rapidly Eroding Consumer Confidence Thwarts Hopes
for a Quick Recovery: Global Consumer Confidence Index Points
for 4Q2019, 1Q2020 & 2Q2020 II-6
Textile Machinery: An Introduction II-6
Types of Textile Machinery II-7
Spinning Machinery II-7
Draw Texturing Machines II-8
Weaving Machinery II-8
Fabric Knitting Machinery II-9
Textile Finishing Machinery II-9
Outlook II-9
Regional Landscape II-10
Exhibit 3: Global Apparel Market by Geographic Region (2019):
Percentage Breakdown of Volume Consumption for Asia-Pacific,
Europe, Latin America, Middle East & Africa, and North
America II-11
Asian Countries Continue to Drive Future Market Growth II-11
China: The Frontrunner in the Textile Machinery Market II-12
World Textile Machinery Shipments II-13
Spinning Machinery II-13
Exhibit 4: Global Spinning Machines Shipments (2019):
Percentage Share Breakdown of Shipments by Segment for Rotors,
Long-Staple Spindles and Short-Staple Spindles II-13
Draw Texturing Machinery II-14
Exhibit 5: Global Draw Texturing Machines Shipments (2019):
Percentage Share Breakdown of Shipments by Segment for Single
Heater and Double Heater II-14
Knitting Machinery II-15
Exhibit 6: Global Knitting Machines Shipments (2019):
Percentage Share Breakdown of Shipments by Segment for Large
Circular Knitting Machines (Single and Double), and Flat
Knitting Machines II-15
Weaving Machines II-16
Exhibit 7: Global Weaving Machines Shipments (2019): Percentage
Share Breakdown of Shipments by Segment for Air-Jet, Rapier &
Projectile, and Water-Jet II-16
Overview of Textile Industry II-16
Exhibit 8: Global Textiles Market by End-Use Application
(2019): Percentage Breakdown of Volume Sales for Apparel, Home
Textiles, Nonwovens and Technical Textiles II-18
Exhibit 9: Global Textile Materials Market (2020): Percentage
Breakdown of Market Volume by Product Group/Segment II-19
Exhibit 10: Global Market for Nonwovens (2019): Percentage
Breakdown of Value Sales by Application II-20
Recent Market Activity II-21
World Brands II-22
2. FOCUS ON SELECT PLAYERS II-23
3. MARKET TRENDS & DRIVERS II-25
Industry 4.0 Set to Reboot & Intensify Digitalization to
Benefit Textile Machinery Industry II-25
Industry 4.0 Brings together Connectivity, Flexible Automation &
Intelligence II-26
Artificial Intelligence to Bring Improved Quality Control in
Textiles & Apparel Sector II-27
Advancements in the Weaving Machinery Market II-28
Sustainability Gains Prominence II-28
3D Weaving Machines Becoming the Mainstay II-29
Fashion Conscious Women Bodes Well for Textile Machinery Market II-29
Increasing Demand for Technical Textiles Lends Traction to
Market Growth II-29
Exhibit 11: World Textile Production by Textile Type (2019):
Percentage Breakdown of Production Volume for Technical
Textiles and Traditional Textiles II-31
Exhibit 12: World Technical Textiles Production by Country/
Region (2019): Percentage Breakdown of Volume Production for
Americas, China, EU, India, and Rest of World
Country/Region % Share II-32
Exhibit 13: World Technical Textiles Production by Textile Type
(2019): Percentage Breakdown of Production Volume for
Composites, Nonwovens and Woven II-32
Exhibit 14: World Technical Textiles Market Annual Sales
Breakdown (%) by Application for 2019 and 2025 II-33
Circular Knitting Machines: An Overview II-33
Macro Factors Driving the World Textiles Sector Generate
Parallel Opportunities for Textiles Machinery II-34
Expanding Clothing & Textile Needs of Ballooning World Population II-34
Exhibit 15: World Population Estimates (2000-2050) II-35
Rapid Pace of Urbanization II-36
Exhibit 16: World Percentage of Population Residing in Urban
Areas by Region: 2000, 2010, 2020, 2030, 2040, and 2050 II-36
Rising Affluence of Middle Class Consumer Segment II-37
Exhibit 17: Global Middle Class Population (in Millions) and as
a Percentage of Total Population: 2005, 2015, 2025 & 2035 II-37
Exhibit 18: Global Middle Class Spending (in US$ Trillion) by
Geographic Region II-38
Technology Advancements Open New Growth Avenues II-38
Select Recent Product Developments/Innovations II-39
TRADE STATISTICS II-41
Exhibit 19: Global Exports of Spinning Machines (2019):
Breakdown of Export Value in US$ ?000s by Destination Country II-41
Exhibit 20: Global Exports of Weaving Machines (Looms) (2019):
Breakdown of Export Value in US$ ?000s by Destination Country II-42
Exhibit 21: Global Exports of Textile Machinery (Extruding,
Drawing, Texturing, Cutting Man-Made Textile Materials)
(2019): Breakdown of Export Value in US$ ?000s by Destination
Country II-43
Exhibit 22: Global Exports of Knitting Machinery (Flat;
Stitch-bonding) (2019): Breakdown of Export Value in US$ ?000s
by Destination Country II-44
4. GLOBAL MARKET PERSPECTIVE II-45
Table 1: World Current & Future Analysis for Textile Machinery
by Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2020 through 2027 II-45
Table 2: World Historic Review for Textile Machinery by
Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 II-46
Table 3: World 15-Year Perspective for Textile Machinery by
Geographic Region – Percentage Breakdown of Volume Sales for
USA, Japan, China, Europe, Asia-Pacific, Latin America and Rest
of World Markets for Years 2012, 2020 & 2027 II-47
Table 4: World Current & Future Analysis for Spinning Machines
by Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2020 through 2027 II-48
Table 5: World Historic Review for Spinning Machines by
Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 II-49
Table 6: World 15-Year Perspective for Spinning Machines by
Geographic Region – Percentage Breakdown of Volume Sales for
USA, Japan, China, Europe, Asia-Pacific, Latin America and Rest
of World for Years 2012, 2020 & 2027 II-50
Table 7: World Current & Future Analysis for Draw Texturizing
Machines by Geographic Region – USA, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Sales in Units for Years 2020
through 2027 II-51
Table 8: World Historic Review for Draw Texturizing Machines by
Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 II-52
Table 9: World 15-Year Perspective for Draw Texturizing
Machines by Geographic Region – Percentage Breakdown of Volume
Sales for USA, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World for Years 2012, 2020 & 2027 II-53
Table 10: World Current & Future Analysis for Knitting Machines
by Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2020 through 2027 II-54
Table 11: World Historic Review for Knitting Machines by
Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 II-55
Table 12: World 15-Year Perspective for Knitting Machines by
Geographic Region – Percentage Breakdown of Volume Sales for
USA, Japan, China, Europe, Asia-Pacific, Latin America and Rest
of World for Years 2012, 2020 & 2027 II-56
Table 13: World Current & Future Analysis for Other Machine
Types by Geographic Region – USA, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Sales in Units for Years 2020
through 2027 II-57
Table 14: World Historic Review for Other Machine Types by
Geographic Region – USA, Japan, China, Europe, Asia-Pacific,
Latin America and Rest of World Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 II-58
Table 15: World 15-Year Perspective for Other Machine Types by
Geographic Region – Percentage Breakdown of Volume Sales for
USA, Japan, China, Europe, Asia-Pacific, Latin America and Rest
of World for Years 2012, 2020 & 2027 II-59
III. MARKET ANALYSIS III-1
GEOGRAPHIC MARKET ANALYSIS III-1
UNITED STATES III-1
Market Overview III-1
The US Textile Machinery Market: Immediate Prospects Remain
Sluggish III-1
EXPORT-IMPORT DATA III-2
Exhibit 23: US Imports of Textile Spinning Machinery (2019):
Breakdown of Import Value by Country of Origin III-2
Exhibit 24: US Imports of Carding Machinery (Textile Fiber
Preparation) (2019): Breakdown of Import Value by Country of
Origin III-3
Exhibit 25: US Imports of Weaving Machines (Looms) (2019):
Breakdown of Import Value by Country of Origin III-4
Exhibit 26: US Imports of Circular Knitting Machines (Cylinder
Diameter More than 165 mm) (2019): Breakdown of Import Value
by Country of Origin III-5
Exhibit 27: US Imports of Flat Knitting Machines (2019):
Breakdown of Import Value by Country of Origin III-6
Exhibit 28: US Imports of Finishing of Felt or Nonwovens
Machines (2019): Percentage Breakdown of Import Value by
Country of Origin III-7
Exhibit 29: US Imports of Extruding, Drawing, Texturing or
Cutting Man-Made Textile Material Machines (2019): Percentage
Breakdown of Import Value by Country of Origin III-8
Market Analytics III-9
Table 16: USA Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-9
Table 17: USA Historic Review for Textile Machinery by Machine
Type – Spinning Machines, Draw Texturizing Machines, Knitting
Machines and Other Machine Types Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 III-10
Table 18: USA 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-11
JAPAN III-12
Market Overview III-12
Market Analytics III-13
Table 19: Japan Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-13
Table 20: Japan Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-14
Table 21: Japan 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-15
CHINA III-16
Despite COVID-19 Scare, China to Remain the Most Important
Market for Textile Machinery III-16
Textile Machinery Exports to Remain Firm III-16
Export Import Scenario III-18
Exhibit 30: Chinese Exports of Knitting Machinery (Flat;
Stitch-bonding) (2019): Percentage Share Breakdown of Export
Value by Destination Country III-18
Exhibit 31: Chinese Imports of Spinning Machines (2019):
Percentage Share Breakdown of Import Value by Country of
Origin III-19
Exhibit 32: Chinese Imports of Carding Machines (2019):
Percentage Share Breakdown of Import Value by Country of
Origin III-19
Market Analytics III-20
Table 22: China Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-20
Table 23: China Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-21
Table 24: China 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-22
EUROPE III-23
Textile Machinery Market in Europe takes a Hit Amid COVID-19
Outbreak III-23
Market Analytics III-24
Table 25: Europe Current & Future Analysis for Textile
Machinery by Geographic Region – Germany, Italy, UK, Spain,
Russia and Rest of Europe Markets – Independent Analysis of
Annual Sales in Units for Years 2020 through 2027 III-24
Table 26: Europe Historic Review for Textile Machinery by
Geographic Region – Germany, Italy, UK, Spain, Russia and Rest
of Europe Markets – Independent Analysis of Annual Sales in
Units for Years 2012 through 2019 III-25
Table 27: Europe 15-Year Perspective for Textile Machinery by
Geographic Region – Percentage Breakdown of Volume Sales for
Germany, Italy, UK, Spain, Russia and Rest of Europe Markets
for Years 2012, 2020 & 2027 III-26
Table 28: Europe Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-27
Table 29: Europe Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-28
Table 30: Europe 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-29
GERMANY III-30
Market Overview III-30
Market Analytics III-31
Table 31: Germany Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-31
Table 32: Germany Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-32
Table 33: Germany 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-33
ITALY III-34
Market Overview III-34
Market Analytics III-35
Table 34: Italy Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-35
Table 35: Italy Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-36
Table 36: Italy 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-37
UNITED KINGDOM III-38
Table 37: UK Current & Future Analysis for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-38
Table 38: UK Historic Review for Textile Machinery by Machine
Type – Spinning Machines, Draw Texturizing Machines, Knitting
Machines and Other Machine Types Markets – Independent Analysis
of Annual Sales in Units for Years 2012 through 2019 III-39
Table 39: UK 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-40
SPAIN III-41
Market Overview III-41
Market Analytics III-42
Table 40: Spain Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-42
Table 41: Spain Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-43
Table 42: Spain 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-44
RUSSIA III-45
Table 43: Russia Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-45
Table 44: Russia Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-46
Table 45: Russia 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-47
REST OF EUROPE III-48
Table 46: Rest of Europe Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-48
Table 47: Rest of Europe Historic Review for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-49
Table 48: Rest of Europe 15-Year Perspective for Textile
Machinery by Machine Type – Percentage Breakdown of Volume
Sales for Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types for the Years 2012,
2020 & 2027 III-50
ASIA-PACIFIC III-51
Table 49: Asia-Pacific Current & Future Analysis for Textile
Machinery by Geographic Region – India and Rest of Asia-Pacific
Markets – Independent Analysis of Annual Sales in Units for
Years 2020 through 2027 III-51
Table 50: Asia-Pacific Historic Review for Textile Machinery by
Geographic Region – India and Rest of Asia-Pacific Markets –
Independent Analysis of Annual Sales in Units for Years 2012
through 2019 III-52
Table 51: Asia-Pacific 15-Year Perspective for Textile
Machinery by Geographic Region – Percentage Breakdown of Volume
Sales for India and Rest of Asia-Pacific Markets for Years
2012, 2020 & 2027 III-53
Table 52: Asia-Pacific Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-54
Table 53: Asia-Pacific Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-55
Table 54: Asia-Pacific 15-Year Perspective for Textile
Machinery by Machine Type – Percentage Breakdown of Volume
Sales for Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types for the Years 2012,
2020 & 2027 III-56
INDIA III-57
Market Overview III-57
Growth Opportunities Amidst COVID-19 Outbreak and Rising Anti-
China Sentiment III-58
An Import Centric Nation III-58
Export Import Scenario III-59
Exhibit 33: Indian Exports of Weaving Machines (Looms) (2019):
Percentage Share Breakdown of Export Value by Destination
Country III-59
Exhibit 34: Indian Exports of Knitting Machines (Flat, Stitch-
Bonding) (2019): Percentage Share Breakdown of Export Value by
Destination Country III-60
Exhibit 35: Indian Imports of Weaving Machines (Looms) (2019):
Percentage Share Breakdown of Import Value by Country of
Origin III-60
Market Analytics III-61
Table 55: India Current & Future Analysis for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types – Independent
Analysis of Annual Sales in Units for the Years 2020 through
2027 III-61
Table 56: India Historic Review for Textile Machinery by
Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-62
Table 57: India 15-Year Perspective for Textile Machinery by
Machine Type – Percentage Breakdown of Volume Sales for
Spinning Machines, Draw Texturizing Machines, Knitting Machines
and Other Machine Types for the Years 2012, 2020 & 2027 III-63
REST OF ASIA-PACIFIC III-64
Overview of Select Markets III-64
Bangladesh III-64
Pakistan III-64
Taiwan III-65
Market Analytics III-66
Table 58: Rest of Asia-Pacific Current & Future Analysis for
Textile Machinery by Machine Type – Spinning Machines, Draw
Texturizing Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-66
Table 59: Rest of Asia-Pacific Historic Review for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types Markets –
Independent Analysis of Annual Sales in Units for Years 2012
through 2019 III-67
Table 60: Rest of Asia-Pacific 15-Year Perspective for Textile
Machinery by Machine Type – Percentage Breakdown of Volume
Sales for Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types for the Years 2012,
2020 & 2027 III-68
LATIN AMERICA III-69
Table 61: Latin America Current & Future Analysis for Textile
Machinery by Geographic Region – Brazil and Rest of Latin
America Markets – Independent Analysis of Annual Sales in Units
for Years 2020 through 2027 III-69
Table 62: Latin America Historic Review for Textile Machinery
by Geographic Region – Brazil and Rest of Latin America Markets –
Independent Analysis of Annual Sales in Units for Years 2012
through 2019 III-70
Table 63: Latin America 15-Year Perspective for Textile
Machinery by Geographic Region – Percentage Breakdown of Volume
Sales for Brazil and Rest of Latin America Markets for Years
2012, 2020 & 2027 III-71
Table 64: Latin America Current & Future Analysis for Textile
Machinery by Machine Type – Spinning Machines, Draw Texturizing
Machines, Knitting Machines and Other Machine Types –
Independent Analysis of Annual Sales in Units for the Years
2020 through 2027 III-72
Table 65: Latin America Historic Review for Textile Machinery
by Machine Type – Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types Markets – Independent
Analysis of Annual Sales in Units for Years 2012 through 2019 III-73
Table 66: Latin America 15-Year Perspective for Textile
Machinery by Machine Type – Percentage Breakdown of Volume
Sales for Spinning Machines, Draw Texturizing Machines,
Knitting Machines and Other Machine Types for the Years 2012,
2020 & 2027 III-74
BRAZIL III-75
Table 67: Brazil Current & Future Analysis for Textile
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Pearson augments nursing content with generative AI study tools to improve nursing education and address shortages
HOBOKEN, N.J., May 17, 2024 /PRNewswire/ — Pearson (FTSE: PSON.L), the world’s leading learning company, today announced the integration of AI study tools into its Nursing: A Concept-Based Approach to Learning series, the only nursing concepts curriculum built from the ground up as a comprehensive, cohesive learning system.
Pearson’s AI study tools combine the power of generative AI technology with trusted Pearson content to provide scaffolded, guided help when students are stuck on homework problems, and personalized explanations, summaries, and practice problems for more efficient studying.
“Integrating AI study tools into our concept-based nursing series enhances the learning experience, giving nursing students and nurse educators the resources they need to efficiently study and master course concepts,” said Anne Fahlgren, GM of Pearson’s professional portfolio. “This technology will help more nursing candidates prepare for and enter the workforce, while also giving nurse educators the means to scale their teaching further, addressing major challenges in nursing education and society.”
The AI study tools beta will be available both in Pearson+ eTextbook and the accompanying MyLab Nursing course in time for Fall 2024. MyLab is an interactive teaching and learning platform, backed by content from Pearson authors. The platform, with integrated eTextbook, allows instructors to design their course, assign homework and assessments, and monitor student progress in real time.
The US is experiencing shortages of nurses and nurse educators. The National Academy of Medicine’s 2021 report on The Future of Nursing: 2020-2030 notes that, in order to provide sufficient care for an aging population over the next decade, a substantial increase in the nursing workforce will be needed that can practice “in community-based settings with diverse populations that face a variety of lived experiences.” The NAM’s report also references hundreds of nursing faculty position vacancies that have contributed to tens of thousands of qualified applicants being turned away from nursing school admission due to the inability to adequately meet student demand.
Concept-based nursing curriculum is designed to focus on key concepts emphasizing a holistic understanding of nursing principles that can be applied across different patient populations, healthcare settings, and situations. This approach strengthens clinical reasoning skills in the course of patient care. Incorporating generative AI tools into Pearson’s concept-based nursing content supports nurse educators in scaling their teaching and students’ ability to study more efficiently.
Dr. Michelle Aebersold, University of Michigan School of Nursing Clinical Professor and contributor to Nursing: A Concept-Based Approach to Learning, said “Technological advancements like generative AI are transforming the nursing profession. The ability to adapt in a rapidly changing environment is a critical healthcare skill, whether it’s in the course of patient care or in preparing our future nurses for the workforce. The ability of the AI study tools to provide a more user-centered, customized experience is a huge benefit for our students. I’m glad they will have access to Pearson’s AI tools that accommodate the variety of ways students learn and provide personalized support in the moment students need it most. This is the future of individualized learning.”
A Fall 2023 survey of students using Pearson’s AI study tools beta showed strong levels of engagement, with 75% of respondents saying the tools were helpful or very helpful to their studies.
The inclusion of generative AI study tools further solidifies Pearson’s dedication to providing the most comprehensive and effective learning and teaching resources for nursing students and nurse educators across the US. Pearson’s AI study tools are already available in more than 30 Pearson Mastering titles and are set to be integrated into more than 40 Pearson+ eTextbooks and MyLab and Mastering titles across math, science, business, and nursing for August of 2024.
Pearson is committed to investing in the responsible application of AI to advance product innovation and enhance the learning experience to educate, certify, and credential students and the workforce.
Pearson product experts are available to demo the AI study tools for members of the media. Please request demonstrations with the media contact below.
About Pearson
At Pearson, our purpose is simple: to add life to a lifetime of learning. We believe that every learning opportunity is a chance for a personal breakthrough. That’s why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do. It’s who we are. Visit us at pearsonplc.com.
Media [email protected]
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Artificial Intelligence
Brainomix Achieves Breakthrough with FDA Clearance of e-Lung AI Software
Established market leader in stroke AI imaging receives its first FDA clearance in the lung imaging space.With this expanded foundation of AI-driven healthcare solutions, the Oxford-based company remains committed to driving innovation and delivering impactful advancements in imaging biomarkers.OXFORD, England, and CHICAGO, May 17, 2024 /PRNewswire/ — Brainomix, a pioneer in artificial intelligence (AI) imaging solutions to enable precision medicine, is proud to announce the FDA clearance of its latest product, Brainomix 360 e-Lung. Brainomix’s entry into the lung imaging space follows a series of successful clearances and widespread clinical adoption of its Brainomix 360 Stroke platform in both the US and Europe.
The clearance of e-Lung marks a significant milestone in Brainomix’s journey to expand its footprint in medical imaging beyond stroke-related applications and represents a notable step forward in the quest for advanced lung imaging solutions. The company, with its rich academic heritage and record of scientific excellence, will expand its research collaborations in the pulmonology space to yield new insights to inform future iterations of e-Lung and chart a path towards continual improvements for the lung imaging technology.
Dr Deji Adegunsoye, Assistant Professor of Medicine and Scientific Director of the Interstitial Lung Disease Program at University of Chicago Medicine, said: “This is an exciting step for Brainomix, who have a demonstrated track record of developing novel AI-based solutions in stroke and are now applying that expertise to develop innovative tools in the lung space. The preliminary data for e-Lung is impressive and would indicate that we have a promising tool that could help to expedite healthcare delivery and improve clinically meaningful outcomes for patients with lung disease.”
Brainomix recently announced the publication of a new study1 in the prestigious peer-reviewed journal American Journal of Respiratory and Critical Care Medicine (AJRCCM), resulting from a research collaboration with AstraZeneca. The results showed that Brainomix’s proprietary lung imaging biomarkers, which include the weighted reticulovascular score (WRVS), stratified patients at risk of Idiopathic Pulmonary Fibrosis (IPF) progression, outperforming standard measures.
Dr Michalis Papadakis, CEO and Co-Founder of Brainomix, said: “We are harnessing our expertise in AI-powered imaging to develop novel biomarkers in other disease indications where AI can support imaging-based diagnostic and treatment decisions.
“This e-Lung FDA clearance reflects our focus on developing innovative solutions that empower healthcare professionals with cutting-edge tools for sophisticated disease evaluation, enhancing access to treatments that can ultimately work to improve patient outcomes.”
Brainomix will be presenting its latest e-Lung data at the American Thoracic Society (ATS) annual conference in San Diego May 17th – 22nd, including results from research collaborations with Heidelberg University and with Seattle-based Avalyn Pharma.
Am. J. Respir. Crit. Care Med.: 2024 Feb 16 – e-Lung CT Biomarker Stratifies Patients at Risk of IPF Progression in a 52-Week Clinical Trialhttps://www.atsjournals.org/doi/abs/10.1164/rccm.202312-2274LEAbout Brainomix
Brainomix specializes in the creation of AI-powered software solutions to enable precision medicine for better treatment decisions in stroke and lung fibrosis. With origins as a spin-out from the University of Oxford, Brainomix is an expanding commercial-stage company with offices in the UK, Ireland and the USA, and operations in more than 30 countries. A private company, backed by leading healthtech investors, Brainomix has innovated award-winning imaging biomarkers and software solutions that have been clinically adopted in hundreds of hospitals worldwide. Its first product, the Brainomix 360 stroke platform, provides clinicians with the most comprehensive stroke imaging solution, driving increased treatment rates and improving functional independence for patients.
To learn more about Brainomix and its technology visit www.brainomix.com, and follow us on Twitter, LinkedIn and Facebook.
Contacts
Jeff Wyrtzen, Chief Marketing & Business Development [email protected] +44 (0)7927 164210T +44 (0)1865 582730
Media enquiries
Charles ConsultantsSue [email protected] M +44 (0)7968 726585
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Artificial Intelligence
CUBE acquires global regulatory intelligence businesses from Thomson Reuters
LONDON, May 17, 2024 /PRNewswire/ — CUBE, a global leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM), announces today its acquisition of the Thomson Reuters Regulatory Intelligence and Oden products and businesses.
The acquisition of these global businesses represents a major step forward in CUBE’s growth plans. It will deliver significant scale across many of the world’s leading and systemically important financial institutions. CUBE’s existing global customer base will be expanded to total approximately 1,000 customers in banking, insurance, asset and investment management, payments and adjacent regulated industries.
CUBE’s global employees will expand to 600, of which close to 250 are highly qualified regulatory subject matter experts, legal and compliance professionals.
Ben Richmond, founder and CEO of CUBE said: “Thomson Reuters is known to be the biggest and best in the industry for providing regulatory expert analysis and subject matter expertise, alongside world-leading journalism and news. The combination of CUBE’s purpose-built AI, with the years of content curated by Thomson Reuters Regulatory Intelligence and Oden expert analysts, will accelerate innovation. Together, we will deliver regulatory transformation capabilities for our global customers that could only have been imagined before.”
Richmond continues: “This combination will provide tremendous scale and depth across CUBE’s regulatory content and technology. It is a significant step toward creating an industry-defining regulatory compliance and risk platform that will benefit all customers and elevate the industry as a whole.”
Through this acquisition, CUBE will provide an expanded and comprehensive selection of specialized regulatory intelligence and regulatory change services, committed to excellence, quality, and highly contextualised and meaningful regulatory content for customers. By combining cutting-edge technology and subject matter expertise at scale CUBE will set a new bar for the industry in regulatory automation and content.
Chris Maguire, General Manager, Risk and Fraud, Corporates, Thomson Reuters said: “It was clear to us that CUBE had established itself as a leading regulatory intelligence provider for global enterprise clients in the financial services and insurance sectors. We wanted to ensure our customers and employees could work with an organisation that would continue to innovate and significantly invest in solutions like Thomson Reuters Regulatory Intelligence and Oden. We are working tirelessly to ensure a seamless and value-enhancing transition for customers and employees, and we are looking forward to working with the CUBE team during this transition.”
Christopher Fielding, Hg, said: “We’re delighted to further extend our market reach, bringing in two high quality and complementary global businesses to the CUBE platform.”
Thomas Martin, Hg, added: “We see these acquisitions as enabling further innovation in the regulatory intelligence and change management sector, leading to strengthened demand for these quality solutions across the globe.”
The terms of the transaction will not be disclosed.
About CUBE
CUBE provides a highly comprehensive and robust source of classified, and meaningful AI-driven regulatory data to power its Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM) solutions. CUBE’s purpose-built regulatory technology including its AI engine (RegBrain) and software platform (RegPlatform) tracks, analyses, and monitors laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory footprint that transforms visibility and compliance capability for customers across the globe.
With operations across Europe, North America, Canada, Asia, and Australia, CUBE serves a diverse and global base of customers and partners including the largest financial institutions in the world who leverage CUBE’s platform to streamline their complex regulatory intelligence and change management processes.
Following the strategic partnership with Hg in March 2024, CUBE announced the acquisition of US-based Reg-Room in May 2024.
About Hg
Hg supports the building of sector-leading enterprises that supply businesses with critical software applications or workflow services, delivering a more automated workplace for their customers.
This industry is characterised by digitisation trends that are in early stages of adoption and are set to transform the workplace for professionals over decades to come. Hg’s support combines deep end-market knowledge with world class operational resources, together providing compelling support to entrepreneurial leaders looking to scale their business – businesses that are well invested, enduring and serve their customers well.
With a vast European network and strong presence across North America, Hg’s 400 employees and around $70 billion in funds under management support a portfolio of around 50 businesses, worth over $140 billion aggregate enterprise value, with over 110,000 employees, consistently growing revenues at more than 20%.
About Regulatory Intelligence
Regulatory Intelligence is a proactive, connected, and comprehensive solution that tracks and analyses regulatory changes within ~2,000 regulatory bodies and rulebooks for more than 20 countries. It enables banking, financial services, and insurance (BFSI) sectors to manage exposure to operational, regulatory, and compliance risk.
About Oden
Oden State Rules and Regulations (SR&R), Oden Policy Terminator/Sentry PT, and OdenTrack provide repositories and automated solutions for complying with state rules and regulations on the provisioning of Personal and Business Insurance in the US.
View original content:https://www.prnewswire.co.uk/news-releases/cube-acquires-global-regulatory-intelligence-businesses-from-thomson-reuters-302147604.html
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