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レポート概要
| 当調査レポートは次の情報を含め、世界の自動車用認識ソフトウェア市場規模と予測を収録しています。・世界の自動車用認識ソフトウェア市場：売上、2018年-2023年、2024年-2029年 ・世界の自動車用認識ソフトウェア市場：販売量、2018年-2023年、2024年-2029年 ・世界のトップ5企業、2022年 世界の自動車用認識ソフトウェア市場は2022年に000Mドルと評価され、予測期間中に000％のCAGRで2029年までに000Mドルに達すると予測されています。米国市場は2022年に000Mドルと推定されており、中国は2029年までに000Mドルに達すると予測されています。「オンプレミス型」セグメントは今後6年間、000%のCAGRで2029年までに000Mドルに成長すると予測されています。 自動車用認識ソフトウェアのグローバル主要企業は、Motorola Solutions、 OMNIQ Corp (HTS)、 Adaptive Recognition、 Dahua Technology Co., Ltd、 Neology、 Perceptics、 Hikvision、 Rekor (OpenALPR)、 Q-free、 Genetec、 Jenoptik(Vysionics)、 Neural Labs、 Inex Tech、 Vaxtor、 Cyclops Technologies、 ISS、 NDI Recognition Systemsなどです。2022年にトップ5企業がグローバル売上シェアの約000%を占めています。 MARKET MONITOR GLOBAL（MMG）は、自動車用認識ソフトウェアのメーカー、サプライヤー、流通業者、および業界の専門家を調査しました。これには、販売量、売上、需要、価格変動、製品タイプ、最近の動向と計画、産業トレンド、成長要因、課題、阻害要因、潜在的なリスクなどが含まれます。 【セグメント別市場分析】 世界の自動車用認識ソフトウェア市場：タイプ別、2018年-2023年、2024年-2029年 世界の自動車用認識ソフトウェア市場：タイプ別市場シェア、2022年 ・オンプレミス型、クラウド型 世界の自動車用認識ソフトウェア市場：用途別、2018年-2023年、2024年-2029年 世界の自動車用認識ソフトウェア市場：用途別市場シェア、2022年 ・交通管制、駐車場、その他 世界の自動車用認識ソフトウェア市場：地域・国別、2018年-2023年、2024年-2029年 世界の自動車用認識ソフトウェア市場：地域別市場シェア、2022年 ・北米：アメリカ、カナダ、メキシコ ・ヨーロッパ：ドイツ、フランス、イギリス、イタリア、ロシア ・アジア：中国、日本、韓国、東南アジア、インド ・南米：ブラジル、アルゼンチン ・中東・アフリカ：トルコ、イスラエル、サウジアラビア、UAE 【競合分析】 また、当レポートは主要な市場参加者の分析を提供します。 ・主要企業における自動車用認識ソフトウェアのグローバル売上、2018年-2023年 ・主要企業における自動車用認識ソフトウェアのグローバル売上シェア、2022年 ・主要企業における自動車用認識ソフトウェアのグローバル販売量、2018年-2023年 ・主要企業における自動車用認識ソフトウェアのグローバル販売量シェア、2022年 さらに、当レポートは主要企業のプロファイルを提示します。 Motorola Solutions、 OMNIQ Corp (HTS)、 Adaptive Recognition、 Dahua Technology Co., Ltd、 Neology、 Perceptics、 Hikvision、 Rekor (OpenALPR)、 Q-free、 Genetec、 Jenoptik(Vysionics)、 Neural Labs、 Inex Tech、 Vaxtor、 Cyclops Technologies、 ISS、 NDI Recognition Systems ************************************************************* ・調査・分析レポートの概要 自動車用認識ソフトウェア市場の定義 市場セグメント 世界の自動車用認識ソフトウェア市場概要 当レポートの特徴・ベネフィット 調査手法と情報源 ・世界の自動車用認識ソフトウェア市場規模 世界の自動車用認識ソフトウェア市場規模：2022年 VS 2029年 世界の自動車用認識ソフトウェア市場規模と予測 2018年-2029年 ・競争状況 グローバルトップ企業 売上ベースでのグローバルトップ企業 企業別グローバルでの自動車用認識ソフトウェアの売上 グローバルトップ3およびトップ5企業、2022年売上ベース グローバル企業の自動車用認識ソフトウェア製品タイプ グローバルにおけるティア1、ティア2、ティア3企業 ・タイプ別市場分析 タイプ区分：オンプレミス型、クラウド型 自動車用認識ソフトウェアのタイプ別グローバル売上・予測 ・用途別市場分析 用途区分：交通管制、駐車場、その他 自動車用認識ソフトウェアの用途別グローバル売上・予測 ・地域別市場分析 地域別自動車用認識ソフトウェア市場規模 2022年と2029年 地域別自動車用認識ソフトウェア売上・予測 北米市場：アメリカ、カナダ、メキシコ ヨーロッパ市場：ドイツ、フランス、イギリス、イタリア、ロシア アジア市場：中国、日本、韓国、東南アジア、インド 南米市場：ブラジル、アルゼンチン 中東・アフリカ市場：トルコ、イスラエル、サウジアラビア、UAE ・主要企業のプロファイル（企業概要、事業概要、主要製品、売上、ニュースなど） Motorola Solutions、 OMNIQ Corp (HTS)、 Adaptive Recognition、 Dahua Technology Co., Ltd、 Neology、 Perceptics、 Hikvision、 Rekor (OpenALPR)、 Q-free、 Genetec、 Jenoptik(Vysionics)、 Neural Labs、 Inex Tech、 Vaxtor、 Cyclops Technologies、 ISS、 NDI Recognition Systems ... |
This research report provides a comprehensive analysis of the Vehicle Recognition Software market, focusing on the current trends, market dynamics, and future prospects. The report explores the global Vehicle Recognition Software market, including major regions such as North America, Europe, Asia-Pacific, and emerging markets. It also examines key factors driving the growth of Vehicle Recognition Software, challenges faced by the industry, and potential opportunities for market players.
The global Vehicle Recognition Software market has witnessed rapid growth in recent years, driven by increasing environmental concerns, government incentives, and advancements in technology. The Vehicle Recognition Software market presents opportunities for various stakeholders, including Traffic Control, Parking Lot. Collaboration between the private sector and governments can accelerate the development of supportive policies, research and development efforts, and investment in Vehicle Recognition Software market. Additionally, the growing consumer demand present avenues for market expansion.
The global Vehicle Recognition Software market was valued at US$ 329.1 million in 2022 and is projected to reach US$ 675.2 million by 2029, at a CAGR of 10.8% during the forecast period.
Global key players of Vehicle Recognition Software include Motorola Solutions, OMNIQ Corp (HTS), Adaptive Recognition and Dahua Technology Co., Ltd, etc. The top four players hold a share about 30%. Japan is the largest market, has a share about 45%. In terms of product type, Cloud-based is the largest segment, occupied for a share of about 70%, and in terms of application, Parking Lot has a share about 55 percent.
Key Features:
The research report on the Vehicle Recognition Software market includes several key features to provide comprehensive insights and facilitate decision-making for stakeholders.
Executive Summary: The report provides overview of the key findings, market trends, and major insights of the Vehicle Recognition Software market.
Market Overview: The report provides a comprehensive overview of the Vehicle Recognition Software market, including its definition, historical development, and current market size. It covers market segmentation by Type (e.g., On-premise, Cloud-based), region, and application, highlighting the key drivers, challenges, and opportunities within each segment.
Market Dynamics: The report analyses the market dynamics driving the growth and development of the Vehicle Recognition Software market. The report includes an assessment of government policies and regulations, technological advancements, consumer trends and preferences, infrastructure development, and industry collaborations. This analysis helps stakeholders understand the factors influencing the Vehicle Recognition Software market’s trajectory.
Competitive Landscape: The report provides an in-depth analysis of the competitive landscape within the Vehicle Recognition Software market. It includes profiles of major market players, their market share, strategies, product portfolios, and recent developments.
Market Segmentation and Forecast: The report segment the Vehicle Recognition Software market based on various parameters, such as by Type, region, and by Application. It provides market size and growth forecasts for each segment, supported by quantitative data and analysis. This helps stakeholders identify growth opportunities and make informed investment decisions.
Technological Trends: The report should highlight the key technological trends shaping the Vehicle Recognition Software market, such as advancements in Type One technology and emerging substitutes. It analyses the impact of these trends on market growth, adoption rates, and consumer preferences.
Market Challenges and Opportunities: The report identify and analyses the major challenges faced by the Vehicle Recognition Software market, such as technical bottleneck, cost limitations, and high entry barrier. It also highlights the opportunities for market growth, such as government incentives, emerging markets, and collaborations between stakeholders.
Regulatory and Policy Analysis: The report should assess the regulatory and policy landscape for Vehicle Recognition Software, including government incentives, emission standards, and infrastructure development plans. It should analyse the impact of these policies on market growth and provide insights into future regulatory developments.
Recommendations and Conclusion: The report conclude with actionable recommendations for stakeholders, such as Application One Consumer, policymakers, investors, and infrastructure providers. These recommendations should be based on the research findings and address key challenges and opportunities within the Vehicle Recognition Software market.
Supporting Data and Appendices: The report include supporting data, charts, and graphs to substantiate the analysis and findings. It also includes appendices with additional detailed information, such as data sources, survey questionnaires, and detailed market forecasts.
Market Segmentation
Vehicle Recognition Software market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
On-premise
Cloud-based
Market segment by Application
Traffic Control
Parking Lot
Other
Global Vehicle Recognition Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Major players covered
Motorola Solutions
OMNIQ Corp (HTS)
Adaptive Recognition
Dahua Technology Co., Ltd
Neology
Perceptics
Hikvision
Rekor (OpenALPR)
Q-free
Genetec
Jenoptik(Vysionics)
Neural Labs
Inex Tech
Vaxtor
Cyclops Technologies
ISS
NDI Recognition Systems
Outline of Major Chapters:
Chapter 1: Introduces the definition of Vehicle Recognition Software, market overview.
Chapter 2: Global Vehicle Recognition Software market size in revenue.
Chapter 3: Detailed analysis of Vehicle Recognition Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Vehicle Recognition Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
1 Introduction to Research & Analysis Reports
1.1 Vehicle Recognition Software Market Definition
1.2 Market Segments
1.2.1 Market by Type
1.2.2 Market by Application
1.3 Global Vehicle Recognition Software Market Overview
1.4 Features & Benefits of This Report
1.5 Methodology & Sources of Information
1.5.1 Research Methodology
1.5.2 Research Process
1.5.3 Base Year
1.5.4 Report Assumptions & Caveats
2 Global Vehicle Recognition Software Overall Market Size
2.1 Global Vehicle Recognition Software Market Size: 2022 VS 2029
2.2 Global Vehicle Recognition Software Market Size, Prospects & Forecasts: 2018-2029
2.3 Key Market Trends, Opportunity, Drivers and Restraints
2.3.1 Market Opportunities & Trends
2.3.2 Market Drivers
2.3.3 Market Restraints
3 Company Landscape
3.1 Top Vehicle Recognition Software Players in Global Market
3.2 Top Global Vehicle Recognition Software Companies Ranked by Revenue
3.3 Global Vehicle Recognition Software Revenue by Companies
3.4 Top 3 and Top 5 Vehicle Recognition Software Companies in Global Market, by Revenue in 2022
3.5 Global Companies Vehicle Recognition Software Product Type
3.6 Tier 1, Tier 2 and Tier 3 Vehicle Recognition Software Players in Global Market
3.6.1 List of Global Tier 1 Vehicle Recognition Software Companies
3.6.2 List of Global Tier 2 and Tier 3 Vehicle Recognition Software Companies
4 Market Sights by Product
4.1 Overview
4.1.1 By Type – Global Vehicle Recognition Software Market Size Markets, 2022 & 2029
4.1.2 On-premise
4.1.3 Cloud-based
4.2 By Type – Global Vehicle Recognition Software Revenue & Forecasts
4.2.1 By Type – Global Vehicle Recognition Software Revenue, 2018-2023
4.2.2 By Type – Global Vehicle Recognition Software Revenue, 2024-2029
4.2.3 By Type – Global Vehicle Recognition Software Revenue Market Share, 2018-2029
5 Sights by Application
5.1 Overview
5.1.1 By Application – Global Vehicle Recognition Software Market Size, 2022 & 2029
5.1.2 Traffic Control
5.1.3 Parking Lot
5.1.4 Other
5.2 By Application – Global Vehicle Recognition Software Revenue & Forecasts
5.2.1 By Application – Global Vehicle Recognition Software Revenue, 2018-2023
5.2.2 By Application – Global Vehicle Recognition Software Revenue, 2024-2029
5.2.3 By Application – Global Vehicle Recognition Software Revenue Market Share, 2018-2029
6 Sights by Region
6.1 By Region – Global Vehicle Recognition Software Market Size, 2022 & 2029
6.2 By Region – Global Vehicle Recognition Software Revenue & Forecasts
6.2.1 By Region – Global Vehicle Recognition Software Revenue, 2018-2023
6.2.2 By Region – Global Vehicle Recognition Software Revenue, 2024-2029
6.2.3 By Region – Global Vehicle Recognition Software Revenue Market Share, 2018-2029
6.3 North America
6.3.1 By Country – North America Vehicle Recognition Software Revenue, 2018-2029
6.3.2 US Vehicle Recognition Software Market Size, 2018-2029
6.3.3 Canada Vehicle Recognition Software Market Size, 2018-2029
6.3.4 Mexico Vehicle Recognition Software Market Size, 2018-2029
6.4 Europe
6.4.1 By Country – Europe Vehicle Recognition Software Revenue, 2018-2029
6.4.2 Germany Vehicle Recognition Software Market Size, 2018-2029
6.4.3 France Vehicle Recognition Software Market Size, 2018-2029
6.4.4 U.K. Vehicle Recognition Software Market Size, 2018-2029
6.4.5 Italy Vehicle Recognition Software Market Size, 2018-2029
6.4.6 Russia Vehicle Recognition Software Market Size, 2018-2029
6.4.7 Nordic Countries Vehicle Recognition Software Market Size, 2018-2029
6.4.8 Benelux Vehicle Recognition Software Market Size, 2018-2029
6.5 Asia
6.5.1 By Region – Asia Vehicle Recognition Software Revenue, 2018-2029
6.5.2 China Vehicle Recognition Software Market Size, 2018-2029
6.5.3 Japan Vehicle Recognition Software Market Size, 2018-2029
6.5.4 South Korea Vehicle Recognition Software Market Size, 2018-2029
6.5.5 Southeast Asia Vehicle Recognition Software Market Size, 2018-2029
6.5.6 India Vehicle Recognition Software Market Size, 2018-2029
6.6 South America
6.6.1 By Country – South America Vehicle Recognition Software Revenue, 2018-2029
6.6.2 Brazil Vehicle Recognition Software Market Size, 2018-2029
6.6.3 Argentina Vehicle Recognition Software Market Size, 2018-2029
6.7 Middle East & Africa
6.7.1 By Country – Middle East & Africa Vehicle Recognition Software Revenue, 2018-2029
6.7.2 Turkey Vehicle Recognition Software Market Size, 2018-2029
6.7.3 Israel Vehicle Recognition Software Market Size, 2018-2029
6.7.4 Saudi Arabia Vehicle Recognition Software Market Size, 2018-2029
6.7.5 UAE Vehicle Recognition Software Market Size, 2018-2029
7 Vehicle Recognition Software Companies Profiles
7.1 Motorola Solutions
7.1.1 Motorola Solutions Company Summary
7.1.2 Motorola Solutions Business Overview
7.1.3 Motorola Solutions Vehicle Recognition Software Major Product Offerings
7.1.4 Motorola Solutions Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.1.5 Motorola Solutions Key News & Latest Developments
7.2 OMNIQ Corp (HTS)
7.2.1 OMNIQ Corp (HTS) Company Summary
7.2.2 OMNIQ Corp (HTS) Business Overview
7.2.3 OMNIQ Corp (HTS) Vehicle Recognition Software Major Product Offerings
7.2.4 OMNIQ Corp (HTS) Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.2.5 OMNIQ Corp (HTS) Key News & Latest Developments
7.3 Adaptive Recognition
7.3.1 Adaptive Recognition Company Summary
7.3.2 Adaptive Recognition Business Overview
7.3.3 Adaptive Recognition Vehicle Recognition Software Major Product Offerings
7.3.4 Adaptive Recognition Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.3.5 Adaptive Recognition Key News & Latest Developments
7.4 Dahua Technology Co., Ltd
7.4.1 Dahua Technology Co., Ltd Company Summary
7.4.2 Dahua Technology Co., Ltd Business Overview
7.4.3 Dahua Technology Co., Ltd Vehicle Recognition Software Major Product Offerings
7.4.4 Dahua Technology Co., Ltd Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.4.5 Dahua Technology Co., Ltd Key News & Latest Developments
7.5 Neology
7.5.1 Neology Company Summary
7.5.2 Neology Business Overview
7.5.3 Neology Vehicle Recognition Software Major Product Offerings
7.5.4 Neology Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.5.5 Neology Key News & Latest Developments
7.6 Perceptics
7.6.1 Perceptics Company Summary
7.6.2 Perceptics Business Overview
7.6.3 Perceptics Vehicle Recognition Software Major Product Offerings
7.6.4 Perceptics Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.6.5 Perceptics Key News & Latest Developments
7.7 Hikvision
7.7.1 Hikvision Company Summary
7.7.2 Hikvision Business Overview
7.7.3 Hikvision Vehicle Recognition Software Major Product Offerings
7.7.4 Hikvision Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.7.5 Hikvision Key News & Latest Developments
7.8 Rekor (OpenALPR)
7.8.1 Rekor (OpenALPR) Company Summary
7.8.2 Rekor (OpenALPR) Business Overview
7.8.3 Rekor (OpenALPR) Vehicle Recognition Software Major Product Offerings
7.8.4 Rekor (OpenALPR) Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.8.5 Rekor (OpenALPR) Key News & Latest Developments
7.9 Q-free
7.9.1 Q-free Company Summary
7.9.2 Q-free Business Overview
7.9.3 Q-free Vehicle Recognition Software Major Product Offerings
7.9.4 Q-free Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.9.5 Q-free Key News & Latest Developments
7.10 Genetec
7.10.1 Genetec Company Summary
7.10.2 Genetec Business Overview
7.10.3 Genetec Vehicle Recognition Software Major Product Offerings
7.10.4 Genetec Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.10.5 Genetec Key News & Latest Developments
7.11 Jenoptik(Vysionics)
7.11.1 Jenoptik(Vysionics) Company Summary
7.11.2 Jenoptik(Vysionics) Business Overview
7.11.3 Jenoptik(Vysionics) Vehicle Recognition Software Major Product Offerings
7.11.4 Jenoptik(Vysionics) Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.11.5 Jenoptik(Vysionics) Key News & Latest Developments
7.12 Neural Labs
7.12.1 Neural Labs Company Summary
7.12.2 Neural Labs Business Overview
7.12.3 Neural Labs Vehicle Recognition Software Major Product Offerings
7.12.4 Neural Labs Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.12.5 Neural Labs Key News & Latest Developments
7.13 Inex Tech
7.13.1 Inex Tech Company Summary
7.13.2 Inex Tech Business Overview
7.13.3 Inex Tech Vehicle Recognition Software Major Product Offerings
7.13.4 Inex Tech Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.13.5 Inex Tech Key News & Latest Developments
7.14 Vaxtor
7.14.1 Vaxtor Company Summary
7.14.2 Vaxtor Business Overview
7.14.3 Vaxtor Vehicle Recognition Software Major Product Offerings
7.14.4 Vaxtor Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.14.5 Vaxtor Key News & Latest Developments
7.15 Cyclops Technologies
7.15.1 Cyclops Technologies Company Summary
7.15.2 Cyclops Technologies Business Overview
7.15.3 Cyclops Technologies Vehicle Recognition Software Major Product Offerings
7.15.4 Cyclops Technologies Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.15.5 Cyclops Technologies Key News & Latest Developments
7.16 ISS
7.16.1 ISS Company Summary
7.16.2 ISS Business Overview
7.16.3 ISS Vehicle Recognition Software Major Product Offerings
7.16.4 ISS Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.16.5 ISS Key News & Latest Developments
7.17 NDI Recognition Systems
7.17.1 NDI Recognition Systems Company Summary
7.17.2 NDI Recognition Systems Business Overview
7.17.3 NDI Recognition Systems Vehicle Recognition Software Major Product Offerings
7.17.4 NDI Recognition Systems Vehicle Recognition Software Revenue in Global Market (2018-2023)
7.17.5 NDI Recognition Systems Key News & Latest Developments
8 Conclusion
9 Appendix
9.1 Note
9.2 Examples of Clients
9.3 Disclaimer