Helpdesk Automation Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The helpdesk automation market size has grown exponentially in recent years. It will grow from $4.65 billion in 2023 to $6.14 billion in 2024 at a compound annual growth rate (CAGR) of 31.9%. The growth in the historic period can be attributed to increasing demand for efficient customer support services, growing adoption of cloud-based technologies, rising use of automation technologies like chatbots and virtual assistants, demand for improved customer data management and analysis, focus on enhancing employee productivity through automation.
The helpdesk automation market size is expected to see exponential growth in the next few years. It will grow to $18.85 billion in 2028 at a compound annual growth rate (CAGR) of 32.4%. The growth in the forecast period can be attributed to growth in demand for industrial automation in manufacturing sectors, rise in digital process automation across various industries, adoption of modern technologies becoming standard practice in businesses, focus on improving ticket management and reducing human error, need for quicker resolution times accessibility. Major trends in the forecast period include growing adoption of AI and machine learning technologies for personalized customer support, Increased focus on enhancing customer data management and analysis, rising demand for efficient and effective customer support services.
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Scope Of Helpdesk Automation Market
The Business Research Company’s reports encompass a wide range of information, including:
- Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
- Drivers: Examination of the key factors propelling market growth.
- Trends: Identification of emerging trends and patterns shaping the market landscape.
- Key Segments: Breakdown of the market into its primary segments and their respective performance.
- Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
- Macro Economic Factors: Assessment of broader economic elements impacting the market.
Helpdesk Automation Market Overview
Market Drivers –
The increasing workflow automation is expected to propel the growth of the helpdesk automation market going forward. Workflow automation refers to the use of technology to automate manual, repetitive tasks and streamline business processes. The increasing workflow automation is due to the need to improve efficiency, reduce costs, enhance productivity, and ensure compliance. Helpdesk automation helps streamline workflow automation by integrating ticketing systems, automating ticket routing, providing self-service options, utilizing chatbots, and offering data analysis for process optimization. For instance, in January 2022, according to a study conducted by the Department for Digital, Culture, Media & Sport (DCMS) there is a projected substantial rise in AI technology adoption from 15.1% in 2020 to 22.7% in 2025, with an added 267,000 businesses integrating AI into their processes. Additionally, it’s anticipated that around 34.8% of businesses will have embraced AI by 2050, totaling approximately 1.3 million companies utilizing this technology. Therefore, increasing workflow automation is driving the growth of the helpdesk automation market.
Market Trends –
Major companies operating in the helpdesk automation market are developing advanced technologies such as artificial intelligence (AI) to increase their profitability in this market. Artificial intelligence refers to machines simulating human intelligence processes, allowing them to execute tasks such as learning, reasoning, and decision-making. For instance, in August 2023, Kognitos, a US-based software company, launched a generative AI automation platform. The generative AI automation platform allows business users to execute various tasks related to planning, verifying, running, and maintaining business process automation using natural language. The key features include Self Service for All, which enables users to create automation without prior training, and Human Language Interpreter 2.0, which interprets human language business processes as code and integrates with productivity tools, enterprise resource planning (ERP), customer relationship management (CRM), and databases.
The helpdesk automation market covered in this report is segmented –
1) By Type: Web Help Desk, On-Premise Help Desk, Enterprise Help Desk, Open Source Help Desk
2) By Solution: Ticket Sortation, Ticket Scheduling, Alert Management
3) By Organization Size: Large Enterprises, Small And Medium Enterprises
4) By Vertical: Information Technology and Telecom, Banking Financial Services And Insurance (BFSI), Government, Education, Healthcare, Manufacturing, Automotive, Retail, Other Verticals
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Regional Insights –
North America was the largest region in the helpdesk automation market in 2023. The regions covered in the helpdesk automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the helpdesk automation market are NTRglobal S.L., Broadcom Inc., Salesforce Inc., ServiceNow Inc., Atlassian Pty Ltd., BMC Software Inc., Zendesk Inc., SolarWinds Worldwide LLC, TeamViewer AG, Ivanti Inc., Freshworks Inc., ConnectWise LLC, Kaseya Limited, Sunrise Software Limited, Spiceworks LLC, Resolve Systems LLC, IFS Capital Limited, Kayako Ltd., SunView Software Inc., NetIQ Corporation, Groove Networks LLC, Vision Helpdesk, HappyFox Inc., Tenfold, Deskero Srl
Table of Contents
- Executive Summary
- Helpdesk Automation Market Report Structure
- Helpdesk Automation Market Trends And Strategies
- Helpdesk Automation Market – Macro Economic Scenario
- Helpdesk Automation Market Size And Growth
…..
- Helpdesk Automation Market Competitor Landscape And Company Profiles
- Key Mergers And Acquisitions
- Future Outlook and Potential Analysis
- Appendix
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