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Global Zero-Touch Provisioning Market to reach USD 5523.7 million by the end of 2029

Global Zero-Touch Provisioning Market Size study&Forecast, by Component (Platform, Services) by Device Type (Routers, Switches, Access Points, Firewalls, IoT Devices, Others), by Network Complexity (Multi-Vendor Environment, Complex Network Architecture, Dynamic Network Environment), by Enterprise Size(Large Enterprises, Small & Medium Enterprises), by Industry(IT & Telecommunications, Manufacturing, Healthcare, Retail, Others) and Regional Analysis, 2022-2029

Product Code: EESC-74427299
Publish Date: 20-03-2023
Page: 200

Global Zero-Touch Provisioning Market is valued at approximately USD 2521.3 million in 2021 andis anticipated to grow with a healthy growth rate of more than 10.3% over the forecast period 2022-2029. Zero-touch provisioning (ZTP) is a configuration technique for devices that uses a switch function to automatically configure the device.ZTP makes it possible to automatically configure or provision managed network devices within a network with little to no manual involvement. It can be configured on routers, switches, firewalls, and wireless access points that are part of a software-defined wide area network (SD-WAN). Additionally, the increasing adoption of IoT services in various industries and growing IT Industry is driving the market for Zero-Touch provisioning market.

The rising adoption of IoT services among various industries is driving the market for Zero-touch provisioning market. It has been anticipated that the worldwide share of IoT devices will triple till 2030 that is will be more than 29 billion. In 2020 the market share accounted to be 9.7 Billion. Further the growing IT Industry is fueling the demand for Zero-Touch provisioning. This technology helps the IT teams to eliminate most of the manual labor and deploy network devices on a faster pace in a large-scale environment. For instance, in 2022 the global share was approximately USD 5.3 Trillion. Asia is projected to be largest contributor in global IT Industry. The annual growth rate is also expected to 5%. Moreover, the positive impact of COVID-19 that is digitalization and adoption of online platforms and benefits of ZTP like elimination of human errors are boosting the market demand for Zero-Touch provisioning market. However, the number of Misconfiguration issues of Zero-Touch Provisioning stifles market growth throughout the forecast period of 2022-2029.
The key regions considered for the Global Zero-Touch Provisioning Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World.With a market share of over 34.0% during the course of the projection period, Asia Pacific dominated the market.The development is attributable to the region’s rising connected device population, the quick adoption of zero touch provisioning by large businesses and SMEs, and the increasing penetration of network automation solutions. Due to their low cost,ZTP is more popular across a variety of industries, including IT & telecommunications, healthcare, manufacturing, and retail.North America is anticipated to grow with the highest CAGR during the forecast period. Modern technologies, including ZTP, have been able to be implemented more quickly because to a well-established infrastructure.

Major market player included in this report are:
Cisco Systems, Inc.
Nokia Corporation
Telefonaktiebolaget LM Ericsson
Huawei Technologies Co., Ltd.
ZTE Corporation
Juniper Networks, Inc.
Hewlett Packard Enterprise Development LP
Arista Networks, Inc.
Extreme Networks
Riverbed Technology

Recent Developments in the Market:
 In December 2022, Juniper Networks, Inc. established a strategic alliance with telecommunications company Deutsche Telekom AG.For Deutsche Telekom AG’s SD-X, a virtualized and cloud-based platform, the alliance aims to make use of the company’s cutting-edge technologies, such as AI-driven intelligence, zero touch installations, and so on.

Global Zero-Touch Provisioning Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Device Type, Network Complexity, Enterprise Size, Industry, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporatespotential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and Component offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Device Type:
Access Points
IoT Devices
By Network Complexity:
Multi-Vendor Environment
Complex Network Architecture
Dynamic Network Environment
By Enterprise Size:
Large Enterprises
Small & Medium Enterprises
By Industry:
IT & Telecommunications
By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
1.2.1. Zero-Touch Provisioning Market, by Region, 2019-2029 (USD Million)
1.2.2. Zero-Touch Provisioning Market, by Component,2019-2029 (USD Million)
1.2.3. Zero-Touch Provisioning Market, by Device Type, 2019-2029 (USD Million)
1.2.4. Zero-Touch Provisioning Market, by Network Complexity, 2019-2029 (USD Million)
1.2.5. Zero-Touch Provisioning Market, by Enterprise Size, 2019-2029 (USD Million)
1.2.6. Zero-Touch Provisioning Market, by Industry, 2019-2029 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Zero-Touch Provisioning 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 Zero-Touch Provisioning Market Dynamics
3.1. Zero-Touch Provisioning Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing IoT adoption among industries. Growing IT Industry.
3.1.2. Market Challenges Misconfiguration Issues may occur.
3.1.3. Market Opportunities Positive Impact of COVID-19. ZTP Eliminates Human Errors.
Chapter 4. Global Zero-Touch Provisioning MarketIndustry 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
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Zero-Touch Provisioning Market, by Component
6.1. Market Snapshot
6.2. Global Zero-Touch Provisioning Market by Component, Performance – Potential Analysis
6.3. Global Zero-Touch Provisioning Market Estimates & Forecasts by Component2019-2029 (USD Million)
6.4. Zero-Touch Provisioning Market, Sub Segment Analysis
6.4.1. Platform
6.4.2. Services
Chapter 7. Global Zero-Touch Provisioning Market, by Device Type
7.1. Market Snapshot
7.2. Global Zero-Touch Provisioning Market by Device Type, Performance – Potential Analysis
7.3. Global Zero-Touch Provisioning Market Estimates & Forecasts by Device Type2019-2029 (USD Million)
7.4. Zero-Touch Provisioning Market, Sub Segment Analysis
7.4.1. Routers
7.4.2. Switches
7.4.3. Access Points
7.4.4. Firewalls
7.4.5. IoT Devices
7.4.6. Others
Chapter 8. Global Zero-Touch Provisioning Market, byNetwork Complexity
8.1. Market Snapshot
8.2. Global Zero-Touch Provisioning Market by Network Complexity, Performance – Potential Analysis
8.3. Global Zero-Touch Provisioning Market Estimates & Forecasts by Network Complexity2019-2029 (USD Million)
8.4. Zero-Touch Provisioning Market, Sub Segment Analysis
8.4.1. Multi-Vendor Environment
8.4.2. Complex Network Architecture
8.4.3. Dynamic Network Environment
Chapter 9. Global Zero-Touch Provisioning Market, by Enterprise Size
9.1. Market Snapshot
9.2. Global Zero-Touch Provisioning Market by Enterprise Size, Performance – Potential Analysis
9.3. Global Zero-Touch Provisioning Market Estimates & Forecasts by Enterprise Size2019-2029 (USD Million)
9.4. Zero-Touch Provisioning Market, Sub Segment Analysis
9.4.1. Large Enterprises
9.4.2. Small & Medium Enterprises
Chapter 10. Global Zero-Touch Provisioning Market, by Industry
10.1. Market Snapshot
10.2. Global Zero-Touch Provisioning Market by Industry, Performance – Potential Analysis
10.3. Global Zero-Touch Provisioning Market Estimates & Forecasts by Industry 2019-2029 (USD Million)
10.4. Zero-Touch Provisioning Market, Sub Segment Analysis
10.4.1. IT & Telecommunications
10.4.2. Manufacturing
10.4.3. Healthcare
10.4.4. Retail
10.4.5. Others
Chapter 11. Global Zero-Touch Provisioning Market, Regional Analysis
11.1. Zero-Touch Provisioning Market, Regional Market Snapshot
11.2. North America Zero-Touch Provisioning Market
11.2.1. U.S.Zero-Touch Provisioning Market Componentbreakdown estimates & forecasts, 2019-2029 Device Type breakdown estimates & forecasts, 2019-2029 Network Complexity breakdown estimates & forecasts, 2019-2029 Enterprise Sizebreakdown estimates & forecasts, 2019-2029
11.2.2. CanadaZero-Touch Provisioning Market
11.3. Europe Zero-Touch Provisioning Market Snapshot
11.3.1. U.K. Zero-Touch Provisioning Market
11.3.2. Germany Zero-Touch Provisioning Market
11.3.3. France Zero-Touch Provisioning Market
11.3.4. Spain Zero-Touch Provisioning Market
11.3.5. Italy Zero-Touch Provisioning Market
11.3.6. Rest of EuropeZero-Touch Provisioning Market
11.4. Asia-PacificZero-Touch Provisioning Market Snapshot
11.4.1. China Zero-Touch Provisioning Market
11.4.2. India Zero-Touch Provisioning Market
11.4.3. JapanZero-Touch Provisioning Market
11.4.4. Australia Zero-Touch Provisioning Market
11.4.5. South Korea Zero-Touch Provisioning Market
11.4.6. Rest of Asia PacificZero-Touch Provisioning Market
11.5. Latin America Zero-Touch Provisioning Market Snapshot
11.5.1. Brazil Zero-Touch Provisioning Market
11.5.2. MexicoZero-Touch Provisioning Market
11.6. Rest of The World Zero-Touch Provisioning Market

Chapter 12. Competitive Intelligence
12.1. Top Market Strategies
12.2. Company Profiles
12.2.1. Cisco Systems, Inc. Key Information Overview Financial (Subject to Data Availability) ProductSummary Recent Developments
12.2.2. Nokia Corporation
12.2.3. Telefonaktiebolaget LM Ericsson
12.2.4. Huawei Technologies Co., Ltd.
12.2.5. ZTE Corporation
12.2.6. Juniper Networks, Inc.
12.2.7. Hewlett Packard Enterprise Development LP
12.2.8. Arista Networks, Inc.
12.2.9. Extreme Networks
12.2.10. Riverbed Technology
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
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.
Insight Generation & Report Presentation:
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