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Intelligent Document Processing Market Report Scope & Overview:

Intelligent Document Processing Market size was valued at USD 1.38 billion in 2022 and is expected to grow to USD 11.34 billion By 2030 and grow at a CAGR of 30.12 % over the forecast period of 2023-2030.

Intelligent document processing is a cutting-edge technology capacity that enables businesses to digitize and automate unstructured data from multiple sources of documents. These include scanned papers, PDFs, word-processing documents, internet forms, and other files. Intelligent document processing uses technology from machine learning, natural language processing, and workflow automation to replicate human abilities in document identification, contextualization, and processing. Intelligent document processing improves data gathering by reading, interpreting, and translating documents into structured, searchable, and organized data, potentially saving time and human resources.

Intelligent Document Processing Market Revenue Analysis

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Market Dynamics

Drivers

  • Transition to Digital Transformation

  • rising need for low-cost, high-efficiency document processing solutions.

For some time, digital transformation has been a board-level issue and corporate focus. Enterprises and mid-market companies have invested in digital, artificial intelligence, and automation to increase revenue, decrease expenses, provide a distinct customer experience, and fundamentally change the way they conduct business. All of these initiatives rely on actionable data to reach their value hypothesis. While this development is happening for many, consumers report various degrees of success and bottom-line advantages. Various companies are embarking on digital transformation journeys to digitize data and information, automate operations, benefit from improved analytics, and strengthen digital communications.

Restrains

  • Shifting compliance and governance requirements limit the growth of the intelligent document processing business.

Opportunities

  • Growing digitization in emerging countries provides considerable market development potential.

Challenges

  • Misinterpretation of technological potential

Underestimating intelligent document processing technologies and being too conservative will stymie future advancements. Overestimation of technology also carries the risk of setting unrealistic targets that cannot be met. In this scenario, seeking assistance from experienced partners and investigating the technology to grasp its limits might be beneficial. It seems sensible to begin with simple steps and gradually progress into the technology. It is critical to select sound business cases that will support this path to intelligent document processing.

Impact of the Russia-Ukraine War

The war can disrupt supply chains, especially if the conflict escalates or leads to trade restrictions. This disruption can affect the availability and delivery of hardware components and software solutions required for IDP systems. Vendors may face challenges in sourcing materials or providing timely support and maintenance services, impacting the overall market.

Armed conflicts often lead to economic uncertainty and instability in the affected regions. Businesses may become hesitant to invest in new technologies, including IDP solutions, as they prioritize risk mitigation and cost-cutting measures. This can result in delayed or reduced adoption of IDP systems. During times of war, governments may shift their priorities and allocate resources toward defense and security. This can result in a decrease in government funding or support for initiatives related to digital transformation, including IDP projects. Additionally, regulatory changes or increased bureaucracy due to the conflict may impact the implementation and utilization of IDP solutions. The Russia-Ukraine war can heighten concerns about data security, privacy, and compliance, particularly for organizations operating in or interacting with the affected regions. Businesses may seek IDP solutions that offer enhanced security features and compliance capabilities to ensure the protection and integrity of sensitive documents and information. The war can lead to shifts in market dynamics and regional priorities.

The Russia-Ukraine war can have broader implications for the global economy, trade relationships, and geopolitical dynamics. These factors can indirectly affect the IDP market by influencing market confidence, investment patterns, and business collaborations on a global scale.

Impact of the Recession

Organizations often prioritize cost optimization during a recession. IDP solutions can help automate document processing tasks, reduce manual labor, and improve operational efficiency. As companies seek ways to streamline their processes and cut costs, the demand for IDP solutions may increase. Recessions can accelerate the adoption of digital transformation initiatives as organizations look for ways to become more agile and resilient. Intelligent Document Processing, with its ability to automate data extraction, classification, and document workflows, aligns well with these transformation efforts. As a result, the IDP market may experience increased adoption during a recession. Economic downturns can lead to consolidation in the technology market, including the IDP sector. Smaller IDP vendors may struggle to sustain their operations, leading to acquisitions or mergers with larger players. This consolidation can impact competition, and market dynamics, and potentially lead to the emergence of dominant market players.

During a recession, organizations may face budget constraints and reduced resources, resulting in delays in implementing new technologies like IDP. Decision-making processes might slow down as companies become more cautious with their investments. This could affect the growth rate of the IDP market in the short term. Certain industries, such as finance, insurance, healthcare, and legal services, often experience an influx of paperwork during recessions. This increased paperwork can drive the demand for IDP solutions to automate document processing, improve productivity, and reduce manual errors. Recessions can bring about stricter regulatory environments and increased focus on compliance and risk management. IDP solutions can assist in automating compliance processes by extracting relevant data from documents, and ensuring regulatory requirements are met. This may drive demand for IDP solutions from organizations seeking to enhance their risk management capabilities.

Key Market Segmentation:

The Intelligent Document Processing Market is segmented into five types on the basis of By Component, By Deployment, By Organization Size, By Technology, and By End-use.

By Component

  • Solution

  • Services

By Deployment

  • Cloud

  • On-premise

By Organization Size

  • Small and Medium Sized Enterprises (SMEs)

  • Large Size Enterprises

By Technology

By End-use

  • BFSI

  • Healthcare

  • Manufacturing

  • Retail

  • Government & Public Sector

  • Transportation & Logistics

  • IT & Telecom

  • Others

Intelligent Document Processing Market Segmentation Analysis

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Regional Analysis

North American market held the greatest revenue share in the global intelligent document processing market. This is owing to the increased acceptance of automation-based technologies and the trend of digital transformation across organizations throughout the area, particularly in the United States and Canada. There are huge paper documents in the United States alone, and the quantity is rising year by year, creating a strong need for intelligent document processing in this country. IDP helps organizations handle documents faster and streamline operational operations. DocVu.AI, an AI-powered IDP platform, has been released by DocVu, a US-based provider of digital solutions to the BFSI industries. Many bank services, such as mortgages, rely heavily on paperwork, and the majority of these documents are still processed manually, leading to delays and inaccuracies. Furthermore, the increasing use of cloud-based document processing services is driving revenue development in this market.

During the projected period, the Asia Pacific market is predicted to develop at a much faster rate in terms of revenue. This is owing to the region's digital revolution and rising adoption of cloud-based technology, particularly in China, Japan, and India. Furthermore, the banking industry in this region is always investing in cutting-edge technology to better its clients' banking experiences.

REGIONAL COVERAGE:

North America

  • USA

  • Canada

  • Mexico

Europe

  • Germany

  • UK

  • France

  • Italy

  • Spain

  • The Netherlands

  • Rest of Europe

Asia-Pacific

  • Japan

  • South Korea

  • China

  • India

  • Australia

  • Rest of Asia-Pacific

The Middle East & Africa

  • Israel

  • UAE

  • South Africa

  • Rest of the Middle East & Africa

Latin America

  • Brazil

  • Argentina

  • Rest of Latin America

Key Players:

The Major players are Evolution AI (England), WorkFusion (US), IBM (US), Kofax (US), Automation Anywhere (US), Appian (US), UiPath (US), Datamatics (India), AntWorks (Singapore), Deloitte (England), ABBY (US), Ocrolus (US), Parascript (US), HyperScience (US), OpenText (Canada), BIS (US),  Hyland (US), Extract Systems (US), Infrrd (US), Hive (California), Celaton (UK), HCL Technologies (India), Kodak Alaris (UK), Rossum (UK), InData Labs (Belarus), Ephesoft (US), IRIS (Europe), AmyGB (India), Acodis (Switzerland), Hypatos (Germany), IND (Singapore), and others in the final report.

IBM (US)-Company Financial Analysis

Company Landscape Analysis

Recent Developments:

ABBYY announced the no-code platform Vantage 2 and AI Marketplace in February 2022 to rethink digital transformation. Vantage 2 provides AI talents that are ready to utilize for intelligent automation. Users may apply cognitive talents to their automation endeavors through the ABBYY Marketplace.

Automation Anywhere announced the release of its new cloud-based Epic Fast Healthcare Interoperability Resources (FHIR) API Bot in May 2021 to automate access to EHRs for Epic Systems, one of the leading EHR manufacturers in the US.

Appian will release the newest edition of the Appian Low-code Automation Platform in May 2021. With the introduction of low-code data, a novel code-free technique for integrating business data, the new version pushed the boundaries of the low-code sector.

Intelligent Document Processing Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 1.38 Bn
Market Size by 2030  US$ 11.34 Bn
CAGR   CAGR of 30.12% From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Component (Solution, Services), By Deployment (Cloud, On-premise)
• By Organization Size (Small and Medium Sized Enterprises (SMEs), Large Size Enterprises)
• By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision)
• By End-use (BFSI, Healthcare, Manufacturing, Retail, Government & Public Sector, Transportation & Logistics, IT & Telecom, Others)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Evolution AI (England), WorkFusion (US), IBM (US), Kofax (US), Automation Anywhere (US), Appian (US), UiPath (US), Datamatics (India), AntWorks (Singapore), Deloitte (England), ABBY (US), Ocrolus (US), Parascript (US), HyperScience (US), OpenText (Canada), BIS (US),  Hyland (US), Extract Systems (US), Infrrd (US), Hive (California), Celaton (UK), HCL Technologies (India), Kodak Alaris (UK), Rossum (UK), InData Labs (Belarus), Ephesoft (US), IRIS (Europe), AmyGB (India), Acodis (Switzerland), Hypatos (Germany), IND (Singapore)
Key Drivers • Transition to Digital Transformation
• rising need for low-cost, high-efficiency document processing solutions.
Market Opportunities • Growing digitization in emerging countries provides considerable market development potential.

 

Frequently Asked Questions

Ans: 30.12% is the CAGR of the Intelligent Document Processing Market in the forecast period of 2023-2030.

Ans. The Major players are Evolution AI (England), WorkFusion (US), IBM (US), Kofax (US), Automation Anywhere (US), Appian (US), UiPath (US), Datamatics (India), AntWorks (Singapore), Deloitte (England), ABBY (US), Ocrolus (US), Parascript (US), HyperScience (US), OpenText (Canada), BIS (US),  Hyland (US), Extract Systems (US), Infrrd (US), Hypatos (Germany), and IN-D (Singapore), and others in final report.

Ans: USD 1.38 billion in 2022 is the market share of the Intelligent Document Processing Market.

Ans:  North American region is dominating the Intelligent Document Processing Market.

Ans. The forecast period for the Intelligent Document Processing Market is 2023-2030.

Table of Contents

1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8. Intelligent Document Processing Market Segmentation, By Component
8.1 Solution
8.2 Services

9. Intelligent Document Processing Market Segmentation, By Deployment
9.1 Cloud
9.2 On-Premises

10. Intelligent Document Processing Market Segmentation, By Organization Size
10.1 Small and Medium-Sized Enterprises (SMEs)
10.2 Large-Size Enterprises

11. Intelligent Document Processing Market Segmentation, By Technology
11.1 Machine Learning
11.2 Natural Language Processing (NLP)
11.3 Computer Vision

12. Intelligent Document Processing Market Segmentation, By End-use
12.1 BFSI
12.2 Healthcare
12.3 Manufacturing
12.4 Retail
12.5 Government & Public Sector
12.6 Transportation & Logistics
12.7 IT & Telecom
12.8 Others

13.Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Intelligent Document Processing Market By Country
13.2.2North America Intelligent Document Processing Market By Component
13.2.3 North America Intelligent Document Processing Market By Deployment
13.2.4 North America Intelligent Document Processing Market By Organization Size
13.2.5 North America Intelligent Document Processing Market By Technology
13.2.6 North America Intelligent Document Processing Market By End-use
13.2.7 USA
13.2.7.1 USA Intelligent Document Processing Market By Component
13.2.7.2 USA Intelligent Document Processing Market By Deployment
13.2.7.3 USA Intelligent Document Processing Market By Organization Size
13.2.7.4 USA Intelligent Document Processing Market By Technology
13.2.7.5 USA Intelligent Document Processing Market By End-use
13.2.8 Canada
13.2.8.1 Canada Intelligent Document Processing Market By Component
13.2.8.2 Canada Intelligent Document Processing Market By Deployment
13.2.8.3 Canada Intelligent Document Processing Market By Organization Size
13.2.8.4 Canada Intelligent Document Processing Market By Technology
13.2.8.5 Canada Intelligent Document Processing Market By End-use
13.2.9 Mexico
13.2.9.1 Mexico Intelligent Document Processing Market By Component
13.2.9.2 Mexico Intelligent Document Processing Market By Deployment
13.2.9.3 Mexico Intelligent Document Processing Market By Organization Size
13.2.9.4 Mexico Intelligent Document Processing Market By Technology
13.2.9.5 Mexico Intelligent Document Processing Market By End-use
13.3 Europe
13.3.1 Europe Intelligent Document Processing Market By country
13.3.2 Europe Intelligent Document Processing Market By Component
13.3.3 Europe Intelligent Document Processing Market By Deployment
13.3.4 Europe Intelligent Document Processing Market By Organization Size
13.3.5 Europe Intelligent Document Processing Market By Technology
13.3.6 Europe Intelligent Document Processing Market By End-use
13.3.7 Germany
13.3.7.1 Germany Intelligent Document Processing Market By Component
13.3.7.2 Germany Intelligent Document Processing Market By Deployment
13.3.7.3 Germany Intelligent Document Processing Market By Organization Size
13.3.7.4 Germany Intelligent Document Processing Market By Technology
13.3.7.5 Germany Intelligent Document Processing Market By End-use
13.3.8 UK
13.3.8.1 UK Intelligent Document Processing Market By Component
13.3.8.2 UK Intelligent Document Processing Market By Deployment
13.3.8.3 UK Intelligent Document Processing Market By Organization Size
13.3.8.4 UK Intelligent Document Processing Market By Technology
13.3.8.5 UK Intelligent Document Processing Market By End-use
13.3.9 France
13.3.9.1 France Intelligent Document Processing Market By Component
13.3.9.2 France Intelligent Document Processing Market By Deployment
13.3.9.3 France Intelligent Document Processing Market By Organization Size
13.3.9.4 France Intelligent Document Processing Market By Technology
13.3.9.5 France Intelligent Document Processing Market By End-use
13.3.10 Italy
13.3.10.1 Italy Intelligent Document Processing Market By Component
13.3.10.2 Italy Intelligent Document Processing Market By Deployment
13.3.10.3 Italy Intelligent Document Processing Market By Organization Size
13.3.10.4 Italy Intelligent Document Processing Market By Technology
13.3.10.5 Italy Intelligent Document Processing Market By End-use
13.3.11 Spain
13.3.11.1 Spain Intelligent Document Processing Market By Component
13.3.11.2 Spain Intelligent Document Processing Market By Deployment
13.3.11.3 Spain Intelligent Document Processing Market By Organization Size
13.3.11.4 Spain Intelligent Document Processing Market By Technology
13.3.11.5 Spain Intelligent Document Processing Market By End-use
13.3.12 The Netherlands
13.3.12.1 Netherlands Intelligent Document Processing Market By Component
13.3.12.2 Netherlands Intelligent Document Processing Market By Deployment
13.3.12.3 Netherlands Intelligent Document Processing Market By Organization Size
13.3.12.4 Netherlands Intelligent Document Processing Market By Technology
13.3.12.5 Netherlands Intelligent Document Processing Market By End-use
13.3.13 Rest of Europe
13.3.13.1 Rest of Europe Intelligent Document Processing Market By Component
13.3.13.2 Rest of Europe Intelligent Document Processing Market By Deployment
13.3.13.3 Rest of Europe Intelligent Document Processing Market By Organization Size
13.3.13.4 Rest of Europe Intelligent Document Processing Market By Technology
13.3.13.5 Rest of Europe Intelligent Document Processing Market By End-use
13.4 Asia-Pacific
13.4.1 Asia Pacific Intelligent Document Processing Market By country
13.4.2 Asia Pacific Intelligent Document Processing Market By Component
13.4.3 Asia Pacific Intelligent Document Processing Market By Deployment
13.4.4Asia Pacific Intelligent Document Processing Market By Organization Size
13.4.5Asia Pacific Intelligent Document Processing Market By Technology
13.4.6 Asia Pacific Intelligent Document Processing Market By End-use
13.4.7 Japan
13.4.7.1 Japan Intelligent Document Processing Market By Component
13.4.7.2 Japan Intelligent Document Processing Market By Deployment
13.4.7.3 Japan Intelligent Document Processing Market By Organization Size
13.4.7.4 Japan Intelligent Document Processing Market By Technology
13.4.7. 5Japan Intelligent Document Processing Market By End-use
13.4.8South Korea
13.4.8.1 South Korea Intelligent Document Processing Market By Component
13.4.8.2 South Korea Intelligent Document Processing Market By Deployment
13.4.8.3 South Korea Intelligent Document Processing Market By Organization Size
13.4.8.4 South Korea Intelligent Document Processing Market By Technology
13.4.8.5 South Korea Intelligent Document Processing Market By End-use
13.4.9 China
13.4.9.1 China Intelligent Document Processing Market By Component
13.4.9.2 China Intelligent Document Processing Market By Deployment
13.4.9.3 China Intelligent Document Processing Market By Organization Size
13.4.9.4 China Intelligent Document Processing Market By Technology
13.4.9.5 China Intelligent Document Processing Market By End-use
13.4.10 India
13.4.10.1 India Intelligent Document Processing Market By Component
13.4.10.2 India Intelligent Document Processing Market By Deployment
13.4.10.3 India Intelligent Document Processing Market By Organization Size
13.4.10.4 India Intelligent Document Processing Market By Technology
13.4.10.5 India Intelligent Document Processing Market By End-use
13.4.11 Australia
13.4.11.1 Australia Intelligent Document Processing Market By Component
13.4.11.2 Australia Intelligent Document Processing Market By Deployment
13.4.11.3 Australia Intelligent Document Processing Market By Organization Size
13.4.11.4 Australia Intelligent Document Processing Market By Technology
13.4.11.5 Australia Intelligent Document Processing Market By End-use
13.4.12 Rest of Asia-Pacific
13.4.12.1 APAC Intelligent Document Processing Market By Component
13.4.12.2 APAC Intelligent Document Processing Market By Deployment
13.4.12.3 APAC Intelligent Document Processing Market By Organization Size
13.4.12.4 APAC Intelligent Document Processing Market By Technology
13.4.12.5 APAC Intelligent Document Processing Market By End-use
13.5 The Middle East & Africa
13.5.1 The Middle East & Africa Intelligent Document Processing Market By country
13.5.2 The Middle East & Africa Intelligent Document Processing Market By Component
13.5.3 The Middle East & Africa Intelligent Document Processing Market By Deployment
13.5.4The Middle East & Africa Intelligent Document Processing Market By Organization Size
13.5.5 The Middle East & Africa Intelligent Document Processing Market By Technology
13.5.6The Middle East & Africa Intelligent Document Processing Market By End-use
13.5.7 Israel
13.5.7.1 Israel Intelligent Document Processing Market By Component
13.5.7.2 Israel Intelligent Document Processing Market By Deployment
13.5.7.3 Israel Intelligent Document Processing Market By Organization Size
13.5.7.4 Israel Intelligent Document Processing Market By Technology
13.5.7.5 Israel Intelligent Document Processing Market By End-use
13.5.8 UAE
13.5.8.1 UAE Intelligent Document Processing Market By Component
13.5.8.2 UAE Intelligent Document Processing Market By Deployment
13.5.8.3 UAE Intelligent Document Processing Market By Organization Size
13.5.8.4 UAE Intelligent Document Processing Market By Technology
13.5.8.5 UAE Intelligent Document Processing Market By End-use
13.5.9South Africa
13.5.9.1 South Africa Intelligent Document Processing Market By Component
13.5.9.2 South Africa Intelligent Document Processing Market By Deployment
13.5.9.3 South Africa Intelligent Document Processing Market By Organization Size
13.5.9.4 South Africa Intelligent Document Processing Market By Technology
13.5.9.5 South Africa Intelligent Document Processing Market By End-use
13.5.10 Rest of Middle East & Africa
13.5.10.1 Rest of Middle East & Asia Intelligent Document Processing Market By Component
13.5.10.2 Rest of Middle East & Asia Intelligent Document Processing Market By Deployment
13.5.10.3 Rest of Middle East & Asia Intelligent Document Processing Market By Organization Size
13.5.10.4 Rest of Middle East & Asia Intelligent Document Processing Market By Technology
13.5.10.5 Rest of Middle East & Asia Intelligent Document Processing Market By End-use
13.6 Latin America
13.6.1 Latin America Intelligent Document Processing Market By Country
13.6.2 Latin America Intelligent Document Processing Market By Component
13.6.3 Latin America Intelligent Document Processing Market By Deployment
13.6.4 Latin America Intelligent Document Processing Market By Organization Size
13.6.5Latin America Intelligent Document Processing Market By Technology
13.6.6 Latin America Intelligent Document Processing Market By End-use
13.6.7 Brazil
13.6.7.1 Brazil Intelligent Document Processing Market By Component
13.6.7.2 Brazil Africa Intelligent Document Processing Market By Deployment
13.6.7.3Brazil Intelligent Document Processing Market By Organization Size
13.6.7.4 Brazil Intelligent Document Processing Market By Technology
13.6.7.5 Brazil Intelligent Document Processing Market By End-use
13.6.8 Argentina
13.6.8.1 Argentina Intelligent Document Processing Market By Component
13.6.8.2 Argentina Intelligent Document Processing Market By Deployment
13.6.8.3 Argentina Intelligent Document Processing Market By Organization Size
13.6.8.4 Argentina Intelligent Document Processing Market By Technology
13.6.8.5 Argentina Intelligent Document Processing Market By End-use
13.6.9 Rest of Latin America
13.6.9.1 Rest of Latin America Intelligent Document Processing Market By Component
13.6.9.2 Rest of Latin America Intelligent Document Processing Market By Deployment
13.6.9.3 Rest of Latin America Intelligent Document Processing Market By Organization Size
13.6.9.4 Rest of Latin America Intelligent Document Processing Market By Technology
13.6.9.5 Rest of Latin America Intelligent Document Processing Market By End-use

14 Company Profile
14.1 Evolution AI.
14.1.1 Market Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 WorkFusion.
14.2.1 Market Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 IBM.
14.3.1 Market Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Kofax.
14.4.1 Market Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 Automation Anywhere
14.5.1 Market Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Appian.
14.6.1 Market Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 UiPath
14.7.1 Market Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Datamatics.
14.8.1 Market Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 AntWorks.
14.9.1 Market Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Deloitte.
14.10.1 Market Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View

15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments

16. USE Cases and Best Practices

17. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

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Data Bank Validation

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