Global Network Detection And Response (NDR) Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Network Detection And Response (NDR) Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

According to our (Global Info Research) latest study, the global Network Detection And Response (NDR) Software market size was valued at USD 2074.5 million in 2022 and is forecast to a readjusted size of USD 4521 million by 2029 with a CAGR of 11.8% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

Global network detection and response (NDR) software key players include Palo Alto Networks, Vectra AI, ExtraHop, Cisco, etc. The largest player is ExtraHop, with a share of about 7%. The Americas has the largest consumption market, with a share of more than 55%. In terms of its product category, cloud-based occupies the main market, with a share of more than 80%. In terms of its application, 65% of the market share is used for large enterprises, while SMEs account for a relatively low share.

NDR solutions primarily use non-signature-based techniques (for example, machine learning or other analytical techniques) to detect suspicious traffic on enterprise networks. NDR tools continuously analyze raw traffic and/or flow records (for example, NetFlow) to build models that reflect normal network behavior. When the NDR tools detect suspicious traffic patterns, they raise alerts. In addition to monitoring north/south traffic that crosses the enterprise perimeter, NDR solutions can also monitor east/west communications by analyzing traffic from strategically placed network sensors.

This report is a detailed and comprehensive analysis for global Network Detection And Response (NDR) Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:

Global Network Detection And Response (NDR) Software market size and forecasts, in consumption value ($ Million), 2018-2029

Global Network Detection And Response (NDR) Software market size and forecasts by region and country, in consumption value ($ Million), 2018-2029

Global Network Detection And Response (NDR) Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029

Global Network Detection And Response (NDR) Software market shares of main players, in revenue ($ Million), 2018-2023

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Network Detection And Response (NDR) Software

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Network Detection And Response (NDR) Software market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Palo Alto Networks, Vectra AI, ExtraHop, Cisco and Fortinet, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation

Network Detection And Response (NDR) Software market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Cloud Based
On-premises

Market segment by Application
Large Enterprises
SMEs

Market segment by players, this report covers
Palo Alto Networks
Vectra AI
ExtraHop
Cisco
Fortinet
Verizon
VMware
LogRhythm
Darktrace
Rapid7
Arctic Wolf
Secureworks
RSA Security (NetWitness)
Hillstone Networks
Trellix
Fidelis Cybersecurity
GoSecure
SentinelOne (Attivo Networks)
Sophos
IronNet
Xcitium
BluSapphire Technologies
Talion
Proofpoint (Illusive)
MixMode
Arista Networks
Sangfor

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Network Detection And Response (NDR) Software product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Network Detection And Response (NDR) Software, with revenue, gross margin and global market share of Network Detection And Response (NDR) Software from 2018 to 2023.

Chapter 3, the Network Detection And Response (NDR) Software competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Network Detection And Response (NDR) Software market forecast, by regions, type and application, with consumption value, from 2024 to 2029.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War

Chapter 12, the key raw materials and key suppliers, and industry chain of Network Detection And Response (NDR) Software.

Chapter 13, to describe Network Detection And Response (NDR) Software research findings and conclusion.