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Global Connected Enterprise Market to reach USD XX million by 2028.

Global Connected Enterprise Market Size study, By Offering (Solutions, Services {Professional Services, Managed Services}), By Type (Manufacturing Execution System, Customer Experience Management, Enterprise Infrastructure Management, Asset Performance Management, Remote Monitoring System, Others), By End-User (Manufacturing, IT & Telecommunication, Retail & E-commerce, BFSI, Healthcare, Energy and Utility, Others), and Regional Forecasts 2022-2028

Product Code: ICTICTS-71894386
Publish Date: 25-05-2022
Page: 200

Global Connected Enterprise Market is valued at approximately USDXX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028. The connected enterprise typically assists in machine monitoring and connects them to all business hubs to provide real-time capabilities, which allows for predictive analytics and deeper insight, along with improving the decision-making process. The growing need for automation and cloud computing across industries, the rise in technological advancements such as big data, cloud, and mobile devices in the enterprise, coupled with the high potential of voluminous data for better processes and operations are the several leading factors excelling the market demand across the globe. For instance, according to Statista, in 2019, the revenue of the global big data analytics market is accounted USD 14.85 billion. Also, the market is projected to grow and is likely to reach USD 68.09 billion by 2025. Consequentially, the flourishing growth of the big data analytics market is positively influencing the connected enterprise market, which, in turn, augments the market development in the approaching years. However, the high cost of deployment and lack of uniform IoT standards and technological skills impede the growth of the market over the forecast period of 2022-2028. Also, the growing adoption of IoT in small and medium businesses and surging demand for system integrators are anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the global Connected Enterprise Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the rising acceptance of novel technologies, and the growing proliferation of the Internet of Things (IoT). Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the growing presence of automation, manufacturing, and retail enterprises, as well as surging demand for system integrators, would create lucrative growth prospects for the Connected Enterprise Market across the Asia-Pacific region.

Major market players included in this report are:
Rockwell Automation Inc.
Cisco Systems Inc.
IBM Corporation
Microsoft Corporation
Bosch
Honeywell International
GE
Accelerite
Verizon Communications Inc.
PTC

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Solutions
Services
Professional Services
Managed Services
By Type:
Manufacturing Execution System
Customer Experience Management
Enterprise Infrastructure Management
Asset Performance Management
Remote Monitoring System
Others
By End-User:
Manufacturing
IT & Telecommunication
Retail & E-commerce
BFSI
Healthcare
Energy and Utility
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Connected Enterprise Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Connected Enterprise Market, by Region, 2020-2028 (USD Million)
1.2.2. Connected Enterprise Market, by Offering, 2020-2028 (USD Million)
1.2.3. Connected Enterprise Market, by Type, 2020-2028 (USD Million)
1.2.4. Connected Enterprise Market, by End-User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Connected Enterprise Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Connected Enterprise Market Dynamics
3.1. Connected Enterprise Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Growing need for automation and cloud computing across industries
3.1.1.2. Rise in technological advancements such as big data, cloud, and mobile devices in enterprise
3.1.2. Market Challenges
3.1.2.1. High cost of deployment
3.1.2.2. Lack of uniform IoT standards and technological skills
3.1.3. Market Opportunities
3.1.3.1. Growing adoption of IoT in small and medium businesses
3.1.3.2. Surging demand for system integrators
Chapter 4. Global Connected Enterprise Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Connected Enterprise Market, by Offering
6.1. Market Snapshot
6.2. Global Connected Enterprise Market by Offering, Performance – Potential Analysis
6.3. Global Connected Enterprise Market Estimates & Forecasts by Offering, 2018-2028 (USD Million)
6.4. Connected Enterprise Market, Sub Segment Analysis
6.4.1. Solutions
6.4.2. Services
6.4.2.1. Professional Services
6.4.2.2. Managed Services
Chapter 7. Global Connected Enterprise Market, by Type
7.1. Market Snapshot
7.2. Global Connected Enterprise Market by Type, Performance – Potential Analysis
7.3. Global Connected Enterprise Market Estimates & Forecasts by Type, 2018-2028 (USD Million)
7.4. Connected Enterprise Market, Sub Segment Analysis
7.4.1. Manufacturing Execution System
7.4.2. Customer Experience Management
7.4.3. Enterprise Infrastructure Management
7.4.4. Asset Performance Management
7.4.5. Remote Monitoring System
7.4.6. Others
Chapter 8. Global Connected Enterprise Market, by End-User
8.1. Market Snapshot
8.2. Global Connected Enterprise Market by End-User, Performance – Potential Analysis
8.3. Global Connected Enterprise Market Estimates & Forecasts by End-User, 2018-2028 (USD Million)
8.4. Connected Enterprise Market, Sub Segment Analysis
8.4.1. Manufacturing
8.4.2. IT & Telecommunication
8.4.3. Retail & E-commerce
8.4.4. BFSI
8.4.5. Healthcare
8.4.6. Energy and Utility
8.4.7. Others
Chapter 9. Global Connected Enterprise Market, Regional Analysis
9.1. Connected Enterprise Market, Regional Market Snapshot
9.2. North America Connected Enterprise Market
9.2.1. U.S. Connected Enterprise Market
9.2.1.1. Offering breakdown estimates & forecasts, 2018-2028
9.2.1.2. Type breakdown estimates & forecasts, 2018-2028
9.2.1.3. End-User breakdown estimates & forecasts, 2018-2028
9.2.2. Canada Connected Enterprise Market
9.3. Europe Connected Enterprise Market Snapshot
9.3.1. U.K. Connected Enterprise Market
9.3.2. Germany Connected Enterprise Market
9.3.3. France Connected Enterprise Market
9.3.4. Spain Connected Enterprise Market
9.3.5. Italy Connected Enterprise Market
9.3.6. Rest of Europe Connected Enterprise Market
9.4. Asia-Pacific Connected Enterprise Market Snapshot
9.4.1. China Connected Enterprise Market
9.4.2. India Connected Enterprise Market
9.4.3. Japan Connected Enterprise Market
9.4.4. Australia Connected Enterprise Market
9.4.5. South Korea Connected Enterprise Market
9.4.6. Rest of Asia Pacific Connected Enterprise Market
9.5. Latin America Connected Enterprise Market Snapshot
9.5.1. Brazil Connected Enterprise Market
9.5.2. Mexico Connected Enterprise Market
9.6. Rest of The World Connected Enterprise Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Rockwell Automation Inc.
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Cisco Systems Inc.
10.2.3. IBM Corporation
10.2.4. Microsoft Corporation
10.2.5. Bosch
10.2.6. Honeywell International
10.2.7. GE
10.2.8. Accelerite
10.2.9. Verizon Communications Inc.
10.2.10. PTC
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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Data Collection:
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In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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