Artificial Intelligence (AI) Market Projected to Reach US$ 202.57 Bn by 2026; Increasing Adoption …

Key companies covered in the Artificial Intelligence (AI) Market Research report include NVIDIA, Baidu, Alphabet (Google Inc.), Verint Systems Inc.

Key companies covered in the Artificial Intelligence (AI) Market Research report include NVIDIA, Baidu, Alphabet (Google Inc.), Verint Systems Inc. (Next IT Corp), Apple Inc., MicroStrategy, Inc., IBM Corporation, Qlik Technologies Inc., Microsoft Corporation, IPsoft, and other prominent players.

Pune, Aug. 12, 2019 (GLOBE NEWSWIRE) — The Artificial Intelligence (AI) Market in North America was valued at US$ 9.72 Bn in 2018. The growth witnessed in this region is attributed to the ongoing technological advancements in the field of natural language processing, machine learning, and analytical tools. According to a published report by Fortune Business Insights, titled, Artificial Intelligence (AI) Market Size, Share and Global Trend by Component (Hardware, Software, Services), by Technology (Computer Vision, Machine Learning, Natural Language Processing, Others), by Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, IT & Telecom, Government, Others) and Geography Forecast till 2026,” the global market is projected to reach US$ 202.57 Bn by 2026, exhibiting a CAGR of 33.1% during the forecast period from 2019 – 2026. The global market was valued at US$ 20.67 Bn in 2018.


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Increasing Adoption of Cloud-based Applications and Services to Propel the Market

The report suggests that a rise in the demand for intelligent virtual assistants is likely to boost the global artificial intelligence (AI) market growth. Additionally, expansion of connected device market, increasing investments in 5G technology, and rising adoption of cloud-based services and applications will contribute to the growth. However, at present, the number of experts working in the field of AI technology is very limited. This is why, Artificial Intelligence (AI) Market is facing numerous challenges in the recent years. Unreliability of AI algorithms and data privacy are two of the most concerning factors affecting the AI market. There is a huge potential of improvements in customer service in the retail sector. Combined with this, improvements in efficiency in the manufacturing industry will also occur. There is also a rise in the number of personalized and high-quality AI-enhanced products in the market which will also contribute to the overall global market growth.

The Natural Language Processing Segment to Witness Growth Driven by Extensive Usage of AI

The report classifies the global artificial intelligence (AI) market on the bases of component, technology, industry vertical, and geography. In terms of technology, the market is divided into machine learning, computer vision, natural language processing, and others. Out of these, the natural language processing segment is expected to gain the highest share of global artificial intelligence (AI) market during the forecast period. This will occur because of the application of AI techniques in analyzing natural language in spoken as well as written forms.

Google, Amazon and Other Prominent Market Players to Gain Competitive Edge Through Innovative Product Launches and Strategic Partnerships

In January 2017, Google launched its Cloud AutoML. It uses Google’s Cloud Vision application programming interface and Cloud Machine Learning Engine service. AutoML is used by several prominent companies, such as Urban Outfitters and Disney. It is making search and shopping on their particular websites more relevant. It also supports image recognition that allows consumers to drag the images and train their systems to recognize those on Google cloud. In October 2018, Amazon started providing AI-as-a-service under its AWS banner with ‘Amazon AI’. The company will begin expanding the global AI market through this strategy. The system will allow developers to build applications with various tools. AstraZeneca plc, a multinational pharmaceutical and biopharmaceutical company, based in the U.K., announced that it has partnered with Ali Health, a subsidiary of Alibaba, earlier in 2018. The aim of the collaboration was to develop an AI-enhanced diagnostics and screenings applications in China.

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Fortune Business Insights has profiled few of the most prominent market players operating in the global artificial intelligence (AI) market. They are NVIDIA, Baidu, Alphabet (Google Inc.), Verint Systems Inc. (Next IT Corp), Apple Inc., MicroStrategy, Inc., IBM Corporation, Qlik Technologies Inc., Microsoft Corporation, IPsoft, and other prominent players.



Some of The Key Companies Profiled in The Report

  • Alphabet (Google Inc.)
  • Apple Inc.
  • Baidu
  • IBM Corporation
  • IPsoft
  • Microsoft Corporation
  • MicroStrategy, Inc
  • NVIDIA
  • Qlik Technologies Inc.
  • Verint Systems Inc. (Next IT Corp)


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Table of Content:

  • Market Dynamics
    • Drivers, Restraints and Opportunities
    • Emerging Trends

  • Key Insights
    • Macro and Micro Economic Indicators
    • Consolidated SWOT Analysis of Key Players
    • Porter’s Five Forces Analysis

  • Global Artificial Intelligence (AI) Market Analysis, Insights and Forecast, 2015-2026
    • Key Findings / Summary
    • Market Size Estimates and Forecasts
      • By Offering (Value)
        • Hardware
        • Software
        • Services
      • By Technology (Value)
        • Computer Vision
        • Machine Learning
        • Natural Language Processing
        • Others
      • By End Use Industry (Value)
        • Healthcare
        • Retail
        • Advertising & Media
        • BFSI
        • Automotive & Transportation
        • Government
        • Manufacturing
        • Others
      • By Geography (Value)
        • North America
        • Europe
        • Asia Pacific
        • Middle East and Africa
        • Latin America
  • Competitive Analysis
  • Strategic Recommendations


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Artificial Intelligence in BFSI Market Still Has Room to Grow | Emerging Players IFlyTek, Infosys …

A latest survey on Global Artificial Intelligence in BFSI Market is conducted covering various organizations of the industry from different geographies to …

A latest survey on Global Artificial Intelligence in BFSI Market is conducted covering various organizations of the industry from different geographies to come up with 100+ page report. The study is a perfect mix of qualitative and quantitative information highlighting key market developments, challenges that industry and competition is facing along with gap analysis and new opportunity available and may trend in Artificial Intelligence in BFSI market. The report bridges the historical data from 2013 to 2018 and forecasted till 2025*. Some are the key & emerging players that are part of coverage and have being profiled are IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology.

Be the first to tap the potential that Global Artificial Intelligence in BFSI market is holding in it. Uncover the Gaps and Opportunities to derive most useful insights from our research publication to outpace market.

Click to get Global Artificial Intelligence in BFSI Market Research Sample PDF Copy Here @: https://www.htfmarketreport.com/sample-report/1884437-global-artificial-intelligence-in-bfsi-market

Analyst at HTF MI have classified and compiled the research data with both perspective i.e. Qualitative and Quantitative.

    Quantitative Data:



Market Data breakdown by key geographies, Type & Application/End-users

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Type [, On-Premise & Cloud-based] (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Application [Voice Processing, Text Processing, Image Processing & Other] (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue & Growth Rate by Each Region Specified (Historical & Forecast)

• Artificial Intelligence in BFSI Market Volume & Growth Rate by Each Region Specified, Application & Type (Historical & Forecast)

• Artificial Intelligence in BFSI Market Revenue, Volume & Y-O-Y Growth Rate by Players (Base Year)

    Qualitative Data:



It would include chapter’s specific to market dynamics and the influencing factors affecting or driving the growth of the market. To list few names of sections involved are

• Industry Overview

• Global Artificial Intelligence in BFSIMarket Growth Drivers

• Global Artificial Intelligence in BFSIMarket Trend

• Restraints

• Opportunities in Artificial Intelligence in BFSI Market

• Market Entropy** [Special Designed to highlight Market Aggressiveness]

• PESTEL Analysis

• Porters Five Forces Model

• Patent & Trademark Analysis** [Licenses & Approvals by Players & Duration of Market Life Cycle]

• Competitive Landscape (SWOT Analysis by Players/Manufacturers)

• Artificial Intelligence in BFSI Market Development and Insights etc. [Covers Product/Service Launch, Innovation etc]

• Investment & Project Feasibility Study**

• Regulatory Framework

** May vary depending upon availability and feasibility of data with respect to Industry targeted

Detailed competitive landscape is Covered to highlight important parameters that players are gaining along with the product/service evolution

• % Market Share, Revenue for each profiled company [IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology]

• Consumption, Capacity & Production by Players

• Business overview and Product/Service classification

• Swot Analysis

• Product/Service Landscape [Product/Service Mix with a comparative analysis]

• Recent Developments (Technology, Expansion, Manufacturing, R&D, Product Launch etc)

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Important Features that are under offering & key highlights of the Artificial Intelligence in BFSI market report:

1) What Market data breakdown/segmentation does basic version of this report covers in addition to players?

Global Artificial Intelligence in BFSI Product Types In-Depth: , On-Premise & Cloud-based

Global Artificial Intelligence in BFSI Major Applications/End users: Voice Processing, Text Processing, Image Processing & Other

Geographical Analysis: United States, Europe, China, Japan, Southeast Asia, India & Central & South America

2) What all companies are currently profiled in the report?

Following are list of players that are currently profiled in the the report “IBM, Baidu, Brighterion, Microsoft, Google, SAP, Intel, IPsoft, NVIDIA, MicroStrategy, IFlyTek, Infosys, Albert Technologies & Megvii Technology”

** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.

3) Can we add or profiled new company as per our need?

Yes, we can add or profile new company as per client need in the report. Final confirmation to be provided by research team depending upon the difficulty of survey.

** Data availability will be confirmed by research in case of privately held company. Upto 3 players can be added at no added cost.

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4) What all regional segmentation covered? Can specific country of interest be added?

Currently, research report gives special attention and focus on following regions:

United States, Europe, China, Japan, Southeast Asia, India & Central & South America

** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote may vary.

5) Can inclusion of additional Segmentation / Market breakdown is possible?

Yes, inclusion of additional segmentation / Market breakdown is possible subject to data availability and difficulty of survey. However a detailed requirement needs to be shared with our research before giving final confirmation to client.

** Depending upon the requirement the deliverable time and quote will vary.

To comprehend Global Artificial Intelligence in BFSI market dynamics in the world mainly, the worldwide Artificial Intelligence in BFSI market is analyzed across major global regions. HTF MI also provides customized specific regional and country-level reports for the following areas.

• North America: United States, Canada, and Mexico.

• South & Central America: Argentina, Chile, and Brazil.

• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.

• Europe: UK, France, Italy, Germany, Spain, and Russia.

• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.

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Actual Numbers & In-Depth Analysis, Business opportunities, Market Size Estimation Available in Full Report.

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Cognitive Robotic Process Automation Market to 2027 – Top Key Players WorkFusion, IBM, UiPath …

Premium Market Insights reports titled “Cognitive Robotic Process Automation Market” and forecast to 2027 gives a detailed analysis of the market with …

Premium Market Insights reports titled “Cognitive Robotic Process Automation Market” and forecast to 2027 gives a detailed analysis of the market with key company profiles. Cognitive Robotic Process Automation market is evaluated based on two segments i.e., by type and application and covers essential statistics and details for current and future market scenarios. The report actively includes informative aspects relating to product developments, launches, and trends, to assist market players, shareholders, and investors in strategic decision making.

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The report also puts forward the current and future market scenario derived precisely from a thorough analysis of the markets across five major regions: North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA), and South & Central America. The exhaustive PEST analysis is done for each region to assess major external factors which may influence Cognitive Robotic Process Automation Market in the coming years.

The market study also includes the key drivers expected to boost the market growth and restraining factors along with future opportunities during the forecast. Cognitive Robotic Process Automation Market is likely to showcase symbolic growth opportunities owing to growing demands for Industrial Wax across the globe. The market report highlights top ten companies’ operation strategy in the market through a descriptive SWOT analysis of each company, business overview, products and services, financial statements of last three years, and key developments and product launches by the company in recent years.

The List of companies covered in this Reports are:

1.IPsoft Inc.

2. Verint System Inc.

3. Blue Prism

4. Automation Anywhere, Inc.

5. WorkFusion

6. IBM Corporation

7. UiPath

8. Pegasystems Inc.

9. Arago GmbH

10. Kryon Systems

The insights also cover the production, value, market share, and growth rate of these top manufacturers and investigate the competitive landscapes for a better understanding of the market scenario. The report is intended to help the readers develop a practical and intelligent approach to market dynamics and exploit opportunities accordingly.

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Global Cognitive Analytics Solutions market 2019 by company regions type and application …

ReportsWeb.com Added “Cognitive Analytics Solutions Market” from its database. The report covers the market landscape and its growth prospects …

ReportsWeb.com Added “Cognitive Analytics Solutions Market” from its database. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Cognitive analytics is a data forward approach, in which intelligent technologies are used to collect, extract, manage, and control data as well as data sources. It enables enterprises and businesses to leverage data collected from various data sources and analyze the information for decision making and business intelligence.

Cognitive analytics is often used for human-like intelligence tasks such as text-to-speech recognition and speech-to-text or object recognition. It uses multiple intelligent technologies such as artificial intelligence, machine learning, deep learning, semantic computing, and image recognition among others in order to analyze data and generate insights or business intelligence.

Scope of the Report:

Rise in demand for automation and knowledge-intensive across business operations is primarily driving the cognitive analytics solutions market. Additionally, rise in demand for personalized and profitable customer interactions from small and medium enterprises (SMEs) and large enterprises is anticipated to drive the market during forecast period.

The cognitive analytics solutions market is likely to be propelled due to an increase in adoption and use of the solutions for self-correcting and human cognition for continuous learning. Furthermore, technology advancements as well as integration of advanced platforms such as Big Data are fuelling the cognitive analytics solutions market.

SMEs and large enterprises across the world are emphasizing on adopting cognitive analytics solutions in order to understand and process Big Data and structured and unstructured data in real-time.

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The global Cognitive Analytics Solutions market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Cognitive Analytics Solutions.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.

This report studies the Cognitive Analytics Solutions market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Cognitive Analytics Solutions market by product type and applications/end industries.

Market Segment by Companies, this report covers:

IBM

Amazon Web Services

Google

Microsoft

Oracle

SAS Institute

Intel

Cisco Systems

Nokia

HPE

Nuance Communications

Ipsoft

Narrative Science

Sinequa

Persado

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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Table of Contents:

1 Cognitive Analytics Solutions Market Overview

2 Manufacturers Profiles

2.1 IBM

2.1.1 Business Overview

2.1.2 Cognitive Analytics Solutions Type and Applications

2.1.2.1 Product A

2.1.2.2 Product B

2.1.3 IBM Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.2 Amazon Web Services

2.2.1 Business Overview

2.2.2 Cognitive Analytics Solutions Type and Applications

2.2.2.1 Product A

2.2.2.2 Product B

2.2.3 Amazon Web Services Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.3 Google

2.3.1 Business Overview

2.3.2 Cognitive Analytics Solutions Type and Applications

2.3.2.1 Product A

2.3.2.2 Product B

2.3.3 Google Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.4 Microsoft

2.4.1 Business Overview

2.4.2 Cognitive Analytics Solutions Type and Applications

2.4.2.1 Product A

2.4.2.2 Product B

2.4.3 Microsoft Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.5 Oracle

2.5.1 Business Overview

2.5.2 Cognitive Analytics Solutions Type and Applications

2.5.2.1 Product A

2.5.2.2 Product B

2.5.3 Oracle Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.6 SAS Institute

2.6.1 Business Overview

2.6.2 Cognitive Analytics Solutions Type and Applications

2.6.2.1 Product A

2.6.2.2 Product B

2.6.3 SAS Institute Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.7 Intel

2.7.1 Business Overview

2.7.2 Cognitive Analytics Solutions Type and Applications

2.7.2.1 Product A

2.7.2.2 Product B

2.7.3 Intel Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.8 Cisco Systems

2.8.1 Business Overview

2.8.2 Cognitive Analytics Solutions Type and Applications

2.8.2.1 Product A

2.8.2.2 Product B

2.8.3 Cisco Systems Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.9 Nokia

2.9.1 Business Overview

2.9.2 Cognitive Analytics Solutions Type and Applications

2.9.2.1 Product A

2.9.2.2 Product B

2.9.3 Nokia Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.10 HPE

2.10.1 Business Overview

2.10.2 Cognitive Analytics Solutions Type and Applications

2.10.2.1 Product A

2.10.2.2 Product B

2.10.3 HPE Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.11 Nuance Communications

2.11.1 Business Overview

2.11.2 Cognitive Analytics Solutions Type and Applications

2.11.2.1 Product A

2.11.2.2 Product B

2.11.3 Nuance Communications Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.12 Ipsoft

2.12.1 Business Overview

2.12.2 Cognitive Analytics Solutions Type and Applications

2.12.2.1 Product A

2.12.2.2 Product B

2.12.3 Ipsoft Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.13 Narrative Science

2.13.1 Business Overview

2.13.2 Cognitive Analytics Solutions Type and Applications

2.13.2.1 Product A

2.13.2.2 Product B

2.13.3 Narrative Science Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.14 Sinequa

2.14.1 Business Overview

2.14.2 Cognitive Analytics Solutions Type and Applications

2.14.2.1 Product A

2.14.2.2 Product B

2.14.3 Sinequa Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

2.15 Persado

2.15.1 Business Overview

2.15.2 Cognitive Analytics Solutions Type and Applications

2.15.2.1 Product A

2.15.2.2 Product B

2.15.3 Persado Cognitive Analytics Solutions Revenue, Gross Margin and Market Share (2017-2018)

3 Global Cognitive Analytics Solutions Market Competition, by Players

4 Global Cognitive Analytics Solutions Market Size by Regions

5 North America Cognitive Analytics Solutions Revenue by Countries

6 Europe Cognitive Analytics Solutions Revenue by Countries

7 Asia-Pacific Cognitive Analytics Solutions Revenue by Countries

8 South America Cognitive Analytics Solutions Revenue by Countries

9 Middle East and Africa Revenue Cognitive Analytics Solutions by Countries

10 Global Cognitive Analytics Solutions Market Segment by Type

Continue…..

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Artificial Intelligence (AI) Is Remodeling Business Models

The trends have been evolving for the last few years, artificial intelligence (AI) has been taking over human intelligence. Now the combination of AI …

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Artificial Intelligence (AI) Is Remodeling Business Models

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For a long time organizations have used the conventional way to work by hiring a huge team. Businesses were assessed for the number of employees in their companies and it was a source of firm value for them. The trends have been evolving for the last few years, artificial intelligence (AI) has been taking over human intelligence. Now the combination of AI with the Human Intelligence is the next big thing and has been helping many companies to gain firm value.

How artificial intelligence is remodeling business models:

There are many uses of artificial intelligence and it has been revitalizing many industries.

  • Security:

AI has made advancements in the security protocols as well. Security is now defined in terms of artificial intelligence and not only unbreakable underground vaults.

Facial recognition, biometric verification, voice recognition, and eye retina verification are the advanced artificial intelligence-based security techniques.

  • Regulatory compliance made easy:

The AI has been facilitating the compliance of regulatory frameworks around the globe. Banks and financial institutions are using the SAAS (Software as a Solution) products to filter their customers in compliance with AML (Anti Money Laundering) and other regulations.

  • Business management:

Businesses are using AI to manage their business is a cost-effective and smart way. Employe verification and customer identity verification software are used by businesses to keep their customer and employee base clear of fraudsters. Every business needs to introduce artificial intelligence in their business model because fraudsters are always bringing up new ways to steal money or get free services by identity theft. Travel agencies use verification solutions for identity verification of travelers.

Other than that daily data management like employee attendance, timings record and payroll, etc are done through AI.

  • Smart data management:

Huge data-oriented organizations where data is the most valuable asset are using artificial intelligence (AI) to manage their work and to secure their business from any data theft or forgery. Stock exchanges are a very good example as the whole system is running on the basis of artificial intelligence. Softwares are used to keep the data updated and generating the stock evaluations and price-predictions on the basis of data collected and stored by the software.

  • Anti-fraud systems:

There are many businesses that are the providers of Artificial Intelligence-based solutions. These systems detect identity thieves, forged documents and invalid information. Integrated databases are maintained by the AI-based solution providers around the globe to secure the businesses from fraud and forgeries.

  • Global village:

Artificial intelligence has made the world a global image. Online businesses are picking up hike due to AI. Businesses can reach their customers around the globe. Small businesses also have access to publicly available information and can use it for their own good.

Hence it is high time that the organizations should start combining human intelligence with Artificial Intelligence because it is the prerequisite of growth these days.

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